AOP ID and Title:
Status
| Author status | OECD status | OECD project | SAAOP status |
|---|---|---|---|
| Under development: Not open for comment. Do not cite |
Summary of the AOP
Events
Molecular Initiating Events (MIE), Key Events (KE), Adverse Outcomes (AO)
| Sequence | Type | Event ID | Title | Short name |
|---|---|---|---|---|
| MIE | 111 | Agonism, Estrogen receptor | Agonism, Estrogen receptor | |
| KE | 307 | Increase, Vitellogenin synthesis in liver | Increase, Vitellogenin synthesis in liver | |
| KE | 220 | Increase, Plasma vitellogenin concentrations | Increase, Plasma vitellogenin concentrations | |
| KE | 252 | Increase, Renal pathology due to VTG deposition | Increase, Renal pathology due to VTG deposition | |
| KE | 351 | Increased Mortality | Increased Mortality | |
| KE | 360 | Decrease, Population growth rate | Decrease, Population growth rate |
Key Event Relationships
| Upstream Event | Relationship Type | Downstream Event | Evidence | Quantitative Understanding |
|---|---|---|---|---|
| Agonism, Estrogen receptor | adjacent | Increase, Vitellogenin synthesis in liver | High | Low |
| Increase, Vitellogenin synthesis in liver | adjacent | Increase, Plasma vitellogenin concentrations | High | Moderate |
| Increase, Plasma vitellogenin concentrations | adjacent | Increase, Renal pathology due to VTG deposition | Moderate | Low |
| Increase, Renal pathology due to VTG deposition | adjacent | Increased Mortality | Moderate | Low |
| Increased Mortality | adjacent | Decrease, Population growth rate | Moderate | Moderate |
Overall Assessment of the AOP
References
Appendix 1
List of MIEs in this AOP
Event: 111: Agonism, Estrogen receptor
Short Name: Agonism, Estrogen receptor
Key Event Component
| Process | Object | Action |
|---|---|---|
| estrogen receptor activity | estrogen receptor | increased |
AOPs Including This Key Event
| AOP ID and Name | Event Type |
|---|---|
| Aop:29 - Estrogen receptor agonism leading to reproductive dysfunction | MolecularInitiatingEvent |
| Aop:52 - ER agonism leading to skewed sex ratios due to altered sexual differentiation in males | MolecularInitiatingEvent |
| Aop:53 - ER agonism leading to reduced survival due to renal failure | MolecularInitiatingEvent |
| Aop:536 - Estrogen receptor agonism leading to reduced survival and population growth due to renal failure | MolecularInitiatingEvent |
| Aop:537 - Estrogen receptor agonism leads to reduced fecundity via increased vitellogenin in the liver | MolecularInitiatingEvent |
Biological Context
| Level of Biological Organization |
|---|
| Molecular |
Cell term
| Cell term |
|---|
| hepatocyte |
Domain of Applicability
Taxonomic applicability: In mammals there are two ER subtypes, ER alpha (ERα) and ER beta (ERβ), which are located on chromosome 6 and 14 and encoded by two different genes (ESR1 and ESR2) (Ascenzi et al., 2006). ERs were conventionally identified as mammal specific, but most vertebrates contain functional ERs. However, although teleost fish have receptors homologous to mammilian ERα, ERβ is divided into ERβ1 and ERβ2 resulting in three distinct ERs (Asnake et al., 2019; Menuet et al., 2004; Menuet et al., 2002). The majority of invertebrates (i.e. mollusks) possess a gene that is the orthologue of the vertebrate ER but in many species it has been demonstrated to only have constitutive transcriptional activity, and is not activated by ligand binding (Balbi et al., 2019). However, ERs in annelids share functional characteristics with vertebrate ERs and its transcriptional activity can be disrupted by known endocrine-disrupting substances (Keay & Thornton, 2009).
This MIE would generally be viewed as relevant to vertebrates, but not invertebrates.
Life stage: This MIE is applicable to all life stages.
Sex: This MIE is applicable to both sexes.
Key Event Description
Site of action: The molecular site of action is the estrogen receptor (ER). ERs are members of the steroid hormone receptor family which belongs to a group of nuclear receptors that are transcriptionally activated by ligands leading to downstream activation of many cellular processes. ERs are composed of three principal domains – N-terminal domain (NTD), DNA binding domain (DBD), and the ligand binding domain (LBD). ER binds to specific DNA sequences known as estrogen response elements (EREs); EREs are generally short sequences located in the promoter region but can also exist in introns or exons (Klinge, 2001). ER-mediated gene transcription is initiated by binding of the DBD to an ERE with two distinct transcriptional activation domains, AF1 and AF2, located on the NTD and LBD respectively (Kumar et al., 2011).
Responses at the macromolecular level: ER’s bind to endogenous and exogenous compounds and are activated by endogenous ligands such as estrone (E1), estradiol (E2) and estriol (E3) (Ng et al., 2014). There are numerous compounds (e.g., natural or pharmaceutical estrogens, alkylphenols, organochlorine pesticides, phthalates, etc.) that can act as estrogen agonists or antagonists, and effectively mimic or block the natural effects of estrogens on the ER (Pillon et al., 2005; Schmieder et al., 2014).
ER is part of a multi-protein complex consisting of HSP 90, HSP 70, and immunophilins (Stice & Knowlton, 2008). In this multi-protein complex HSP 90 is the dominant protein and its binding to ER is essential for ER conformational binding of 17β-estradiol (Segnitz & Gehring, 1997). When binding on the LBD receptor occurs ER dissociates from HSP 90 and leads to receptor dimerization which can either be homodimers from the same isoform (ERα-Erα) or heterodimers containing one unit from both isoforms (ERα-Erβ) (Fliss et al., 2000). The translocation of these dimers into the nucleus modulates gene transcription (Aranda & Pascual, 2001).
How it is Measured or Detected
- OECD Test No. 455: Performance-based test guideline for stably transfected transactivation in vitro assays to detect estrogen receptor agonists and antagonists (OECD 2021).
- OECD Test No. 457: BG1Luc Estrogen Receptor Transactivation Test Method for Identifying Estrogen Receptor Agonists and Antagonists (OECD 2012).
- Standard Evaluation Procedure (SEP) for estrogen receptor transcriptional activation (Human Cell Line HeLa-9903) assay was developed by the U.S. Environmental Protection Agency (EPA).
- ER-based transactivation assays that have been used to detect ER agonists and antagonist using cell lines include T47D-Kbluc assay (Wehmas et al., 2011), the ERα CALUX assay (Van et al.); MELN assay (Berckmans et al., 2007); and the yeast estrogen screen (YES; (De Boever et al., 2001)). The T47D-Kbluc assay responds to both ERα and ERß agonists but support the assumption that ERα is inducing more reporter expression than ERß. Each of these assays have undergone some level of validation.
- Browne et al. (2015) integrated 18 ER ToxCast high-throughput screening (HTS) assays, measuring ER binding, dimerization, chromatin binding, transcriptional activation and ER-dependent cell proliferation, into the ToxCast ER pathway model. This mathematical model that in vitro assays to predict whether a chemical is an ER agonist or antagonist.
References
- Aranda, A., & Pascual, A. (2001). Nuclear hormone receptors and gene expression. Physiological reviews, 81(3), 1269-1304.
- Ascenzi, P., Bocedi, A., & Marino, M. (2006). Structure–function relationship of estrogen receptor α and β: Impact on human health. Molecular aspects of medicine, 27(4), 299-402.
- Asnake, S., Modig, C., & Olsson, P.-E. (2019). Species differences in ligand interaction and activation of estrogen receptors in fish and human. The Journal of steroid biochemistry and molecular biology, 195, 105450.
- Balbi, T., Ciacci, C., & Canesi, L. (2019). Estrogenic compounds as exogenous modulators of physiological functions in molluscs: Signaling pathways and biological responses. Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology, 222, 135-144.
- Berckmans, P., Leppens, H., Vangenechten, C., & Witters, H. (2007). Screening of endocrine disrupting chemicals with MELN cells, an ER-transactivation assay combined with cytotoxicity assessment. Toxicology in vitro, 21(7), 1262-1267.
- Browne, P., Judson, R. S., Casey, W. M., Kleinstreuer, N. C., & Thomas, R. S. (2015). Screening Chemicals for Estrogen Receptor Bioactivity Using a Computational Model. Environmental Science & Technology, 49(14), 8804-8814. https://doi.org/10.1021/acs.est.5b02641
- De Boever, P., Demaré, W., Vanderperren, E., Cooreman, K., Bossier, P., & Verstraete, W. (2001). Optimization of a yeast estrogen screen and its applicability to study the release of estrogenic isoflavones from a soygerm powder. Environmental Health Perspectives, 109(7), 691-697.
- Fliss, A. E., Benzeno, S., Rao, J., & Caplan, A. J. (2000). Control of estrogen receptor ligand binding by Hsp90. The Journal of steroid biochemistry and molecular biology, 72(5), 223-230.
- Keay, J., & Thornton, J. W. (2009). Hormone-activated estrogen receptors in annelid invertebrates: implications for evolution and endocrine disruption. Endocrinology, 150(4), 1731-1738.
- Klinge, C. M. (2001). Estrogen receptor interaction with estrogen response elements. Nucleic Acids Res, 29(14), 2905-2919. https://doi.org/10.1093/nar/29.14.2905
- Kumar, R., Zakharov, M. N., Khan, S. H., Miki, R., Jang, H., Toraldo, G., Singh, R., Bhasin, S., & Jasuja, R. (2011). The dynamic structure of the estrogen receptor. Journal of amino acids, 2011.
- Menuet, A., Le Page, Y., Torres, O., Kern, L., Kah, O., & Pakdel, F. (2004). Analysis of the estrogen regulation of the zebrafish estrogen receptor (ER) reveals distinct effects of ERalpha, ERbeta1 and ERbeta2. Journal of Molecular Endocrinology, 32(3), 975-986.
- Menuet, A., Pellegrini, E., Anglade, I., Blaise, O., Laudet, V., Kah, O., & Pakdel, F. (2002). Molecular characterization of three estrogen receptor forms in zebrafish: binding characteristics, transactivation properties, and tissue distributions. Biology of reproduction, 66(6), 1881-1892.
- Ng, H. W., Perkins, R., Tong, W., & Hong, H. (2014). Versatility or Promiscuity: The Estrogen Receptors, Control of Ligand Selectivity and an Update on Subtype Selective Ligands. International Journal of Environmental Research and Public Health, 11(9), 8709-8742. https://www.mdpi.com/1660-4601/11/9/8709
- Pillon, A., Boussioux, A.-M., Escande, A., Aït-Aïssa, S., Gomez, E., Fenet, H., Ruff, M., Moras, D., Vignon, F., & Duchesne, M.-J. (2005). Binding of estrogenic compounds to recombinant estrogen receptor-α: application to environmental analysis. Environmental Health Perspectives, 113(3), 278-284.
- Schmieder, P. K., Kolanczyk, R. C., Hornung, M. W., Tapper, M. A., Denny, J. S., Sheedy, B. R., & Aladjov, H. (2014). A rule-based expert system for chemical prioritization using effects-based chemical categories. SAR and QSAR in Environmental Research, 25(4), 253-287. https://doi.org/10.1080/1062936X.2014.898691
- Segnitz, B., & Gehring, U. (1997). The function of steroid hormone receptors is inhibited by the hsp90-specific compound geldanamycin. Journal of Biological Chemistry, 272(30), 18694-18701.
- Stice, J. P., & Knowlton, A. A. (2008). Estrogen, NFκB, and the heat shock response. Molecular Medicine, 14, 517-527.
- Van, d., Winter, R., Weimer, M., Beckmanns, P., Suzuki, G., Gijsberg, L., Jonas, A., Van, d. W., Hilda, & Aarts, J. Optimization and Prevalidation of the in Vitro ER CALUX Method to Test Estrogenic and Antiestrogenic Activity of Compounds.
- Wehmas, L. C., Cavallin, J. E., Durhan, E. J., Kahl, M. D., Martinovic, D., Mayasich, J., Tuominen, T., Villeneuve, D. L., & Ankley, G. T. (2011). Screening complex effluents for estrogenic activity with the T47D‐KBluc cell bioassay: Assay optimization and comparison with in vivo responses in fish. Environmental toxicology and chemistry, 30(2), 439-445.
List of Key Events in the AOP
Event: 307: Increase, Vitellogenin synthesis in liver
Short Name: Increase, Vitellogenin synthesis in liver
Key Event Component
| Process | Object | Action |
|---|---|---|
| gene expression | vitellogenins | increased |
AOPs Including This Key Event
Biological Context
| Level of Biological Organization |
|---|
| Tissue |
Organ term
| Organ term |
|---|
| liver |
Domain of Applicability
Taxonomic applicability: Oviparous vertebrates.
- Although vitellogenin is conserved among oviparous vertebrates and many invertebrates, liver is not a relevant tissue for the production of vitellogenin in invertebrates (Wahli, 1988).
Life stage: This KE is applicable to all life stages following the differentiation of the liver. Embryos prior to liver differentiation should not be included.
Sex: This KE is applicable to both sexes.
Key Event Description
Vitellogenin (VTG) is an egg yolk precursor protein synthesized by hepatocytes of oviparous vertebrates (Hara et al., 2016). Transcription of vtg is regulated by estrogens and their interaction on ERs. In males expression can be modulated by exogenous compounds. Under high estrogen stimulation the fold increase of vtg transcripts increases by orders of magnitude (Brock & Shapiro, 1983).
How it is Measured or Detected
Relative abundance of vitellogenin transcripts or protein can be measured in liver tissue (e.g., Miracle et al., 2006), hepatocytes (e.g., Vaillant et al., 1988), exposed in vitro, or whole-body homogenates from organisms exposed in vivo (Holbech et al., 2001).
mRNA transcripts can be measured using real-time quantitative polymerase chain reaction (qPCR) while protein quantification can be measured using alkali-labile phosphoprotein (e.g., Kramer et al., 1998), or immunochemical methods such as radioimmunoassay (RIA; e.g., Tyler & Sumpter, 1990), enzyme linked immunosorbent assay (ELISA; e.g., Denslow et al., 1999), and Western blotting (e.g., Heppell et al., 1995).
References
- Brock, M. L., & Shapiro, D. (1983). Estrogen regulates the absolute rate of transcription of the Xenopus laevis vitellogenin genes. Journal of Biological Chemistry, 258(9), 5449-5455.
- Denslow, N. D., Chow, M. C., Kroll, K. J., & Green, L. (1999). Vitellogenin as a biomarker of exposure for estrogen or estrogen mimics. Ecotoxicology, 8, 385-398.
- Hara, A., Hiramatsu, N., & Fujita, T. (2016). Vitellogenesis and choriogenesis in fishes. Fisheries Science, 82(2), 187-202. https://doi.org/10.1007/s12562-015-0957-5
- Heppell, S. A., Denslow, N. D., Folmar, L. C., & Sullivan, C. V. (1995). Universal assay of vitellogenin as a biomarker for environmental estrogens. Environmental Health Perspectives, 103(suppl 7), 9-15.
- Holbech, H., Andersen, L., Petersen, G. I., Korsgaard, B., Pedersen, K. L., & Bjerregaard, P. (2001). Development of an ELISA for vitellogenin in whole body homogenate of zebrafish (Danio rerio). Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology, 130(1), 119-131.
- Kramer, V., Miles-Richardson, S., Pierens, S., & Giesy, J. (1998). Reproductive impairment and induction of alkaline-labile phosphate, a biomarker of estrogen exposure, in fathead minnows (Pimephales promelas) exposed to waterborne 17β-estradiol. Aquatic Toxicology, 40(4), 335-360.
- Miracle, A., Ankley, G., & Lattier, D. (2006). Expression of two vitellogenin genes (vg1 and vg3) in fathead minnow (Pimephales promelas) liver in response to exposure to steroidal estrogens and androgens. Ecotoxicology and environmental safety, 63(3), 337-342.
- Tyler, C. R., & Sumpter, J. P. (1990). The development of a radioimmunoassay for carp, Cyprinus carpio, vitellogenin. Fish Physiology and Biochemistry, 8, 129-140.
- Vaillant, C., Le Guellec, C., Pakdel, F., & Valotaire, Y. (1988). Vitellogenin gene expression in primary culture of male rainbow trout hepatocytes. General and Comparative Endocrinology, 70(2), 284-290.
- Wahli, W. (1988). Evolution and expression of vitellogenin genes. Trends in Genetics, 4(8), 227-232.
Event: 220: Increase, Plasma vitellogenin concentrations
Short Name: Increase, Plasma vitellogenin concentrations
Key Event Component
| Process | Object | Action |
|---|---|---|
| vitellogenins | increased |
AOPs Including This Key Event
Biological Context
| Level of Biological Organization |
|---|
| Organ |
Organ term
| Organ term |
|---|
| blood plasma |
Domain of Applicability
Taxonomic applicability: Oviparous vertebrates synthesize yolk precursor proteins that are transported in the circulation for uptake by developing oocytes. Many invertebrates also synthesize vitellogenins that are taken up into developing oocytes via active transport mechanisms. However, invertebrate vitellogenins are transported in hemolymph or via other transport mechanisms rather than plasma.
Life stage: This KE is applicable to all life stages following the differentiation of the liver. Embryos prior to liver differentiation should not be included.
Sex: This KE is applicable to both sexes.
Key Event Description
Vitellogenins are large serum phospholipoglycoprotein that are encoded by a family of paralog genes whose number varies in the different vertebrate lineages resulting in numerous isoforms (Wahli, 1988). Vtg is synthesized in the liver and is secreted into the blood as ~500 kDa homodimers which circulate to the ovaries for uptake and bind to receptors on the surface of growing oocytes (Wallace, 1985).
How it is Measured or Detected
Vitellogenin concentrations in plasma are typically measured using enzyme linked immunosorbent assay (ELISA; e.g., Denslow et al., 1999; Holbech et al., 2001). Less specific and/or sensitive assays such as determination of alkali-labile phosphoprotein (e.g., Kramer et al., 1998) and Western blotting (e.g., Heppell et al., 1995) may also be used.
There are also several standardized test guidelines that measure vtg including: Fish Short Term Reproduction Assay (OECD, 2009a), 21-day Fish Assay (OECD, 2009b); Fish Sexual Development Test (OECD, 2011), Medaka Extended One Generation Reproduction Test (OECD, 2015a). Measurement of vtg is also an optional parameter in the Larval Amphibian Growth and Development Assay (OECD, 2015b). The US Environmental Protection Agency (EPA) has similar standardized guidelines (US EPA, 2009, US EPA, 2014) as does the EU as part of the Guidance For The Identification Of Endocrine Disruptors In The Context Of Regulations (EC 2013, EC 2018).
References
- Denslow, N. D., Chow, M. C., Kroll, K. J., & Green, L. (1999). Vitellogenin as a biomarker of exposure for estrogen or estrogen mimics. Ecotoxicology, 8, 385-398.
- Heppell, S. A., Denslow, N. D., Folmar, L. C., & Sullivan, C. V. (1995). Universal assay of vitellogenin as a biomarker for environmental estrogens. Environmental Health Perspectives, 103(suppl 7), 9-15.
- Holbech, H., Andersen, L., Petersen, G. I., Korsgaard, B., Pedersen, K. L., & Bjerregaard, P. (2001). Development of an ELISA for vitellogenin in whole body homogenate of zebrafish (Danio rerio). Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology, 130(1), 119-131.
- Kramer, V., Miles-Richardson, S., Pierens, S., & Giesy, J. (1998). Reproductive impairment and induction of alkaline-labile phosphate, a biomarker of estrogen exposure, in fathead minnows (Pimephales promelas) exposed to waterborne 17β-estradiol. Aquatic Toxicology, 40(4), 335-360.
- Wahli, W. (1988). Evolution and expression of vitellogenin genes. Trends in Genetics, 4(8), 227-232.
- Wallace, R. A. (1985). Vitellogenesis and oocyte growth in nonmammalian vertebrates. Oogenesis, 127-177.
Event: 252: Increase, Renal pathology due to VTG deposition
Short Name: Increase, Renal pathology due to VTG deposition
Key Event Component
| Process | Object | Action |
|---|---|---|
| Kidney Diseases | increased |
AOPs Including This Key Event
| AOP ID and Name | Event Type |
|---|---|
| Aop:29 - Estrogen receptor agonism leading to reproductive dysfunction | KeyEvent |
| Aop:536 - Estrogen receptor agonism leading to reduced survival and population growth due to renal failure | KeyEvent |
Biological Context
| Level of Biological Organization |
|---|
| Organ |
Organ term
| Organ term |
|---|
| kidney |
Domain of Applicability
Taxonomic applicability: All vertebrates with functional kidneys.
Life stage: This KE is applicable to all life stages following the differentiation of the kidney.
Sex: This KE is applicable to both sexes.
Key Event Description
Renal pathology deals with the characterization of the kidneys. The kidneys perform a suite of physiological roles that are critical for organismal homeostasis including waste excretion, osmoregulation, and fluid homeostasis (Preuss, 1993). Each kidney is made up of specialized epithelial cells known as nephrons and while nephron numbers can vary greatly between species their overall function remains conserved in vertebrates (Desgrange & Cereghini, 2015). Nephrons act as filtering units that are composed of glomeruli and tubules which are responsible for removing metabolic waste from the bloodstream, regulating fluids, and balancing electrolytes (Wesselman et al., 2023). Organ tissue damage can occur after exposure to toxins, parasites, or be caused by disease. If pathology is measurable this would be an indication of damage or diseased tissue state and a departure from normal/healthy tissue.
How it is Measured or Detected
Histopathology focuses on the changes in tissues and is a technique used for identifying correlations with biochemical markers. Generally renal pathology is measured after either whole organism or specific tissue of interest is fixed, dehydrated, and then embedded in wax, commonly paraffin wax. Sections are then cut to approximately 3–5 μm in thickness and stained before being examined under a microscope (e.g., Folmar et al., 2001; Mihaich et al., 2012; Zha et al., 2007).
- OECD Test No. 123: Guidance document on the diagnosis of endocrine-related histopathology in fish gonads (OECD 2010).
- OECD Test No. 227: Guidance document on medaka histopathology techniques and evaluation for the medaka extended one-generation reproduction test (OECD 2015)
- Crissman et al. (2004) describes best practice guidelines for toxicologic histopathology.
- Fiedler et al. (2023) have written standardized tissue sampling guidelines for histopathological analyses using rainbow trout.
References
- Crissman, J. W., Goodman, D. G., Hildebrandt, P. K., Maronpot, R. R., Prater, D. A., Riley, J. H., Seaman, W. J., & Thake, D. C. (2004). Best Practices Guideline: Toxicologic Histopathology. Toxicologic Pathology, 32(1), 126-131. https://doi.org/10.1080/01926230490268756
- Desgrange, A., & Cereghini, S. (2015). Nephron patterning: lessons from Xenopus, zebrafish, and mouse studies. Cells, 4(3), 483-499.
- Fiedler, S., Schrader, H., Theobalt, N., Hofmann, I., Geiger, T., Arndt, D., Wanke, R., Schwaiger, J., & Blutke, A. (2023). Standardized tissue sampling guidelines for histopathological and molecular analyses of rainbow trout (Oncorhynchus mykiss) in ecotoxicological studies. PLOS ONE, 18(7), e0288542. https://doi.org/10.1371/journal.pone.0288542
- Folmar, L. C., Gardner, G. R., Schreibman, M. P., Magliulo-Cepriano, L., Mills, L. J., Zaroogian, G., Gutjahr-Gobell, R., Haebler, R., Horowitz, D. B., & Denslow, N. D. (2001). Vitellogenin-induced pathology in male summer flounder (Paralichthys dentatus). Aquatic Toxicology, 51(4), 431-441.
- Mihaich, E., Rhodes, J., Wolf, J., van der Hoeven, N., Dietrich, D., Hall, A. T., Caspers, N., Ortego, L., Staples, C., & Dimond, S. (2012). Adult fathead minnow, Pimephales promelas, partial life‐cycle reproductive and gonadal histopathology study with bisphenol A. Environmental toxicology and chemistry, 31(11), 2525-2535.
- Preuss, H. G. (1993). Basics of renal anatomy and physiology. Clinics in laboratory medicine, 13(1), 1-11.
- Wesselman, H. M., Gatz, A. E., Pfaff, M. R., Arceri, L., & Wingert, R. A. (2023). Estrogen signaling influences nephron segmentation of the zebrafish embryonic kidney. Cells, 12(4), 666.
- Zha, J., Wang, Z., Wang, N., & Ingersoll, C. (2007). Histological alternation and vitellogenin induction in adult rare minnow (Gobiocypris rarus) after exposure to ethynylestradiol and nonylphenol. Chemosphere, 66(3), 488-495.
Event: 351: Increased Mortality
Short Name: Increased Mortality
Key Event Component
| Process | Object | Action |
|---|---|---|
| mortality | increased |
AOPs Including This Key Event
Biological Context
| Level of Biological Organization |
|---|
| Population |
Domain of Applicability
Taxonomic Applicability| Term | Scientific Term | Evidence | Links |
|---|---|---|---|
| all species | all species | High | NCBI |
| Life Stage | Evidence |
|---|---|
| All life stages | High |
| Sex | Evidence |
|---|---|
| Unspecific | Moderate |
All living things are susceptible to mortality.
Key Event Description
Increased mortality refers to an increase in the number of individuals dying in an experimental replicate group or in a population over a specific period of time.
How it is Measured or Detected
Mortality of animals is generally observed as cessation of the heart beat, breathing (gill or lung movement) and locomotory movements. Mortality is typically measured by observation. Depending on the size of the organism, instruments such as microscopes may be used. The reported metric is mostly the mortality rate: the number of deaths in a given area or period, or from a particular cause.
Depending on the species and the study setup, mortality can be measured:
- in the lab by recording mortality during exposure experiments
- in dedicated setups simulating a realistic situation such as mesocosms or drainable ponds for aquatic species
- in the field, for example by determining age structure after one capture, or by capture-mark-recapture efforts. The latter is a method commonly used in ecology to estimate an animal population's size where it is impractical to count every individual.
Regulatory Significance of the AO
Increased mortality is one of the most common regulatory assessment endpoints, along with reduced growth and reduced reproduction.
Event: 360: Decrease, Population growth rate
Short Name: Decrease, Population growth rate
Key Event Component
| Process | Object | Action |
|---|---|---|
| population growth rate | population of organisms | decreased |
AOPs Including This Key Event
Biological Context
| Level of Biological Organization |
|---|
| Population |
Domain of Applicability
Taxonomic Applicability| Term | Scientific Term | Evidence | Links |
|---|---|---|---|
| all species | all species | High | NCBI |
| Life Stage | Evidence |
|---|---|
| All life stages | Not Specified |
| Sex | Evidence |
|---|---|
| Unspecific | Not Specified |
Consideration of population size and changes in population size over time is potentially relevant to all living organisms.
Key Event Description
A population can be defined as a group of interbreeding organisms, all of the same species, occupying a specific space during a specific time (Vandermeer and Goldberg 2003, Gotelli 2008). As the population is the biological level of organization that is often the focus of ecological risk assessments, population growth rate (and hence population size over time) is important to consider within the context of applied conservation practices.
If N is the size of the population and t is time, then the population growth rate (dN/dt) is proportional to the instantaneous rate of increase, r, which measures the per capita rate of population increase over a short time interval. Therefore, r, is a difference between the instantaneous birth rate (number of births per individual per unit of time; b) and the instantaneous death rate (number of deaths per individual per unit of time; d) [Equation 1]. Because r is an instantaneous rate, its units can be changed via division. For example, as there are 24 hours in a day, an r of 24 individuals/(individual x day) is equal to an r of 1 individual/(individual/hour) (Caswell 2001, Vandermeer and Goldberg 2003, Gotelli 2008, Murray and Sandercock 2020).
Equation 1: r = b - d
This key event refers to scenarios where r < 0 (instantaneous death rate exceeds instantaneous birth rate).
Examining r in the context of population growth rate:
● A population will decrease to extinction when the instantaneous death rate exceeds the instantaneous birth rate (r < 0).
● The smaller the value of r below 1, the faster the population will decrease to zero.
● A population will increase when resources are available and the instantaneous birth rate exceeds the instantaneous death rate (r > 0)
● The larger the value that r exceeds 1, the faster the population can increase over time
● A population will neither increase or decrease when the population growth rate equals 0 (either due to N = 0, or if the per capita birth and death rates are exactly balanced). For example, the per capita birth and death rates could become exactly balanced due to density dependence and/or to the effect of a stressor that reduces survival and/or reproduction (Caswell 2001, Vandermeer and Goldberg 2003, Gotelli 2008, Murray and Sandercock 2020).
Effects incurred on a population from a chemical or non-chemical stressor could have an impact directly upon birth rate (reproduction) and/or death rate (survival), thereby causing a decline in population growth rate.
● Example of direct effect on r: Exposure to 17b-trenbolone reduced reproduction (i.e., reduced b) in the fathead minnow over 21 days at water concentrations ranging from 0.0015 to about 41 mg/L (Ankley et al. 2001; Miller and Ankley 2004).
Alternatively, a stressor could indirectly impact survival and/or reproduction.
● Example of indirect effect on r: Exposure of non-sexually differentiated early life stage fathead minnow to the fungicide prochloraz has been shown to produce male-biased sex ratios based on gonad differentiation, and resulted in projected change in population growth rate (decrease in reproduction due to a decrease in females and thus recruitment) using a population model. (Holbech et al., 2012; Miller et al. 2022)
Density dependence can be an important consideration:
● The effect of density dependence depends upon the quantity of resources present within a landscape. A change in available resources could increase or decrease the effect of density dependence and therefore cause a change in population growth rate via indirectly impacting survival and/or reproduction.
● This concept could be thought of in terms of community level interactions whereby one species is not impacted but a competitor species is impacted by a chemical stressor resulting in a greater availability of resources for the unimpacted species. In this scenario, the impacted species would experience a decline in population growth rate. The unimpacted species would experience an increase in population growth rate (due to a smaller density dependent effect upon population growth rate for that species).
Closed versus open systems:
● The above discussion relates to closed systems (there is no movement of individuals between population sites) and thus a declining population growth rate cannot be augmented by immigration.
● When individuals depart (emigrate out of a population) the loss will diminish population growth rate.
Population growth rate applies to all organisms, both sexes, and all life stages.
How it is Measured or Detected
Population growth rate (instantaneous growth rate) can be measured by sampling a population over an interval of time (i.e. from time t = 0 to time t = 1). The interval of time should be selected to correspond to the life history of the species of interest (i.e. will be different for rapidly growing versus slow growing populations). The population growth rate, r, can be determined by taking the difference (subtracting) between the initial population size, Nt=0 (population size at time t=0), and the population size at the end of the interval, Nt=1 (population size at time t = 1), and then subsequently dividing by the initial population size.
Equation 2: r = (Nt=1 - Nt=0) / Nt=0
The diversity of forms, sizes, and life histories among species has led to the development of a vast number of field techniques for estimation of population size and thus population growth over time (Bookhout 1994, McComb et al. 2021).
● For stationary species an observational strategy may involve dividing a habitat into units. After setting up the units, samples are performed throughout the habitat at a select number of units (determined using a statistical sampling design) over a time interval (at time t = 0 and again at time t = 1), and the total number of organisms within each unit are counted. The numbers recorded are assumed to be representative for the habitat overall, and can be used to estimate the population growth rate within the entire habitat over the time interval.
● For species that are mobile throughout a large range, a strategy such as using a mark-recapture method may be employed (i.e. tags, bands, transmitters) to determine a count over a time interval (at time = 0 and again at time =1).
Population growth rate can also be estimated using mathematical model constructs (for example, ranging from simple differential equations to complex age or stage structured matrix projection models and individual based modeling approaches), and may assume a linear or nonlinear population increase over time (Caswell 2001, Vandermeer and Goldberg 2003, Gotelli 2008, Murray and Sandercock 2020). The AOP framework can be used to support the translation of pathway-specific mechanistic data into responses relevant to population models and output from the population models, such as changing (declining) population growth rate, can be used to assess and manage risks of chemicals (Kramer et al. 2011). As such, this translational capability can increase the capacity and efficiency of safety assessments both for single chemicals and chemical mixtures (Kramer et al. 2011).
Some examples of modeling constructs used to investigate population growth rate:
● A modeling construct could be based upon laboratory toxicity tests to determine effect(s) that are then linked to the population model and used to estimate decline in population growth rate. Miller et al. (2007) used concentration–response data from short term reproductive assays with fathead minnow (Pimephales promelas) exposed to endocrine disrupting chemicals in combination with a population model to examine projected alterations in population growth rate.
● A model construct could be based upon a combination of effects-based monitoring at field sites (informed by an AOP) and a population model. Miller et al. (2015) applied a population model informed by an AOP to project declines in population growth rate for white suckers (Catostomus commersoni) using observed changes in sex steroid synthesis in fish exposed to a complex pulp and paper mill effluent in Jackfish Bay, Ontario, Canada. Furthermore, a model construct could be comprised of a series of quantitative models using KERs that culminates in the estimation of change (decline) in population growth rate.
● A quantitative adverse outcome pathway (qAOP) has been defined as a mathematical construct that models the dose–response or response–response relationships of all KERs described in an AOP (Conolly et al. 2017, Perkins et al. 2019). Conolly et al. (2017) developed a qAOP using data generated with the aromatase inhibitor fadrozole as a stressor and then used it to predict potential population‐level impacts (including decline in population growth rate). The qAOP modeled aromatase inhibition (the molecular initiating event) leading to reproductive dysfunction in fathead minnow (Pimephales promelas) using 3 computational models: a hypothalamus–pituitary–gonadal axis model (based on ordinary differential equations) of aromatase inhibition leading to decreased vitellogenin production (Cheng et al. 2016), a stochastic model of oocyte growth dynamics relating vitellogenin levels to clutch size and spawning intervals (Watanabe et al. 2016), and a population model (Miller et al. 2007).
● Dynamic energy budget (DEB) models offer a methodology that reverse engineers stressor effects on growth, reproduction, and/or survival into modular characterizations related to the acquisition and processing of energy resources (Nisbet et al. 2000, Nisbet et al. 2011). Murphy et al. (2018) developed a conceptual model to link DEB and AOP models by interpreting AOP key events as measures of damage-inducing processes affecting DEB variables and rates.
● Endogenous Lifecycle Models (ELMs), capture the endogenous lifecycle processes of growth, development, survival, and reproduction and integrate these to estimate and predict expected fitness (Etterson and Ankley, 2021). AOPs can be used to inform ELMs of effects of chemical stressors on the vital rates that determine fitness, and to decide what hierarchical models of endogenous systems should be included within an ELM (Etterson and Ankley, 2021).
Regulatory Significance of the AO
Maintenance of sustainable fish and wildlife populations (i.e., adequate to ensure long-term delivery of valued ecosystem services) is a widely accepted regulatory goal upon which risk assessments and risk management decisions are based.
References
- Ankley GT, Jensen KM, Makynen EA, Kahl MD, Korte JJ, Hornung MW, Henry TR, Denny JS, Leino RL, Wilson VS, Cardon MD, Hartig PC, Gray LE. 2003. Effects of the androgenic growth promoter 17b-trenbolone on fecundity and reproductive endocrinology of the fathead minnow. Environ. Toxicol. Chem. 22: 1350–1360.
- Bookhout TA. 1994. Research and management techniques for wildlife and habitats. The Wildlife Society, Bethesda, Maryland. 740 pp.
- Caswell H. 2001. Matrix Population Models. Sinauer Associates, Inc., Sunderland, MA, USA
- Cheng WY, Zhang Q, Schroeder A, Villeneuve DL, Ankley GT, Conolly R. 2016. Computational modeling of plasma vitellogenin alterations in response to aromatase inhibition in fathead minnows. Toxicol Sci 154: 78–89.
- Conolly RB, Ankley GT, Cheng W-Y, Mayo ML, Miller DH, Perkins EJ, Villeneuve DL, Watanabe KH. 2017. Quantitative adverse outcome pathways and their application to predictive toxicology. Environ. Sci. Technol. 51: 4661-4672.
- Etterson MA, Ankley GT. 2021. Endogenous Lifecycle Models for Chemical Risk Assessment. Environ. Sci. Technol. 55: 15596-15608.
- Gotelli NJ, 2008. A Primer of Ecology. Sinauer Associates, Inc., Sunderland, MA, USA.
- Holbech H, Kinnberg KL, Brande-Lavridsen N, Bjerregaard P, Petersen GI, Norrgren L, Orn S, Braunbeck T, Baumann L, Bomke C, Dorgerloh M, Bruns E, Ruehl-Fehlert C, Green JW, Springer TA, Gourmelon A. 2012 Comparison of zebrafish (Danio rerio) and fathead minnow (Pimephales promelas) as test species in the Fish Sexual Development Test (FSDT). Comp. Biochem. Physiol. C Toxicol. Pharmacol. 155: 407–415.
- Kramer VJ, Etterson MA, Hecker M, Murphy CA, Roesijadi G, Spade DJ, Stromberg JA, Wang M, Ankley GT. 2011. Adverse outcome pathways and risk assessment: Bridging to population level effects. Environ. Toxicol. Chem. 30, 64-76.
- McComb B, Zuckerberg B, Vesely D, Jordan C. 2021. Monitoring Animal Populations and their Habitats: A Practitioner's Guide. Pressbooks, Oregon State University, Corvallis, OR Version 1.13, 296 pp.
- Miller DH, Villeneuve DL, Santana Rodriguez KJ, Ankley GT. 2022. A multidimensional matrix model for predicting the effect of male biased sex ratios on fish populations. Environmental Toxicology and Chemistry 41(4): 1066-1077.
- Miller DH, Tietge JE, McMaster ME, Munkittrick KR, Xia X, Griesmer DA, Ankley GT. 2015. Linking mechanistic toxicology to population models in forecasting recovery from chemical stress: A case study from Jackfish Bay, Ontario, Canada. Environmental Toxicology and Chemistry 34(7): 1623-1633.
- Miller DH, Jensen KM, Villeneuve DE, Kahl MD, Makynen EA, Durhan EJ, Ankley GT. 2007. Linkage of biochemical responses to population-level effects: A case study with vitellogenin in the fathead minnow (Pimephales promelas). Environ Toxicol Chem 26: 521–527.
- Miller DH, Ankley GT. 2004. Modeling impacts on populations: Fathead minnow (Pimephales promelas) exposure to the endocrine disruptor 17b-trenbolone as a case study. Ecotox Environ Saf 59: 1–9.
- Murphy CA, Nisbet RM, Antczak P, Garcia-Reyero N, Gergs A, Lika K, Mathews T, Muller EB, Nacci D, Peace A, Remien CH, Schultz IR, Stevenson LM, Watanabe KH. 2018. Incorporating suborganismal processes into dynamic energy budget models for ecological risk assessment. Integrated Environmental Assessment and Management 14(5): 615–624.
- Murray DL, Sandercock BK (editors). 2020. Population ecology in practice. Wiley-Blackwell, Oxford UK, 448 pp.
- Nisbet RM, Jusup M, Klanjscek T, Pecquerie L. 2011. Integrating dynamic energy budget (DEB) theory with traditional bioenergetic models. The Journal of Experimental Biology 215: 892-902.
- Nisbet RM, Muller EB, Lika K, Kooijman SALM. 2000. From molecules to ecosystems through dynamic energy budgets. J Anim Ecol 69: 913–926.
- Perkins EJ, Ashauer R, Burgoon L, Conolly R, Landesmann B,, Mackay C, Murphy CA, Pollesch N, Wheeler JR, Zupanic A, Scholzk S. 2019. Building and applying quantitative adverse outcome pathway models for chemical hazard and risk assessment. Environmental Toxicology and Chemistry 38(9): 1850–1865.
- Vandermeer JH, Goldberg DE. 2003. Population ecology: first principles. Princeton University Press, Princeton NJ, 304 pp.
- Villeneuve DL, Crump D, Garcia-Reyero N, Hecker M, Hutchinson TH, LaLone CA, Landesmann B, Lattieri T, Munn S, Nepelska M, Ottinger MA, Vergauwen L, Whelan M. Adverse outcome pathway (AOP) development 1: Strategies and principles. Toxicol Sci. 2014: 142:312–320
- Watanabe KH, Mayo M, Jensen KM, Villeneuve DL, Ankley GT, Perkins EJ. 2016. Predicting fecundity of fathead minnows (Pimephales promelas) exposed to endocrine‐disrupting chemicals using a MATLAB(R)‐based model of oocyte growth dynamics. PLoS One 11: e0146594.
Appendix 2
List of Key Event Relationships in the AOP
List of Adjacent Key Event Relationships
Relationship: 128: Agonism, Estrogen receptor leads to Increase, Vitellogenin synthesis in liver
AOPs Referencing Relationship
| AOP Name | Adjacency | Weight of Evidence | Quantitative Understanding |
|---|---|---|---|
| Estrogen receptor agonism leading to reproductive dysfunction | adjacent | High | |
| Estrogen receptor agonism leading to reduced survival and population growth due to renal failure | adjacent | High | Low |
| Estrogen receptor agonism leads to reduced fecundity via increased vitellogenin in the liver | adjacent |
Evidence Supporting Applicability of this Relationship
Taxonomic applicability: Oviparous vertebrates.
Life stage: This KER is applicable to all life stages following the differentiation of the liver. Larvae prior to liver differentiation should not be included.
Sex: This KER is applicable to both sexes.
Evidence Supporting this KER
Biological PlausibilityOriginal text - unknown contributor
High degree of plausibility in fathead minnow, zebrafish and other cyprinid species.
Added by C. Baettig June 24, 2024
In egg laying vertebrates such as fish vitellogenin (VTG) synthesis occurs in the female liver after activation of estrogen receptors (ERs), including ERα and ERβ isoforms, by endogenous steroids and a variety of exogenous chemicals that bind to ERs (e.g., Brock & Shapiro, 1983; Denslow et al., 1999; Miracle et al., 2006). In mature female fish VTG is incorporated into growing oocytes by the ovary and is converted into yolk protein. However, neither adult male fish nor juvenile fish normally produce VTG, but the hepatic ER is present in males, as are the genes that encode for vtg expression and can therefore be induced by exogenous compounds (Heppell et al., 1995).
Agonism of the ER is expected to increase vtg transcription and translation and under high estrogen stimulation the fold increase of vtg transcripts increases by orders of magnitude (Brock & Shapiro, 1983). As such, induction of VTG levels in male fish has been used extensively as a biomarker of estrogen exposure (Wheeler et al., 2005).
Empirical EvidenceOriginal text - unknown contributor
A wide range of studies using adult fish show that induction of plasma vitellogenin (VTG) occurs within 21 days in vivo aquatic exposure to estrogen receptor agonists (eg 17beta-estradiol and 4-tert pentylphenol) as shown during the successful validation of the OECD Test Guideline 229 and related protocols. A smaller number of experiment studies with fish have shown that within the OECD Test Guideline 2010, larval fish can also show induction of whole body VTG levels within 21 days aquatic exposure to estrogen receptor agonists.
Added by C. Baettig June 24, 2024
There are numerous publications supporting this relationship including multiple review articles (e.g., Matozzo et al., 2008; Palmer & Selcer, 1996; Verderame & Scudiero, 2017). A few specific examples are listed below.
- Estradiol and diarylpropionitrile (DPN), an ERβ selective agonist, induced a dose-dependent increase in VTG synthesis in rainbow trout hepatocytes (Leaños-Castañeda & Van Der Kraak, 2007).
- DPN has also been shown to increase ERα and vtg expression and synthesis post-injection in Mozambique tilapia in vivo (Davis et al., 2010).
- A study focusing on benzophenone derivatives found that BP1 (2,4-dihydroxybenzophenone), BP2 (2,2′,4,4′-tetrahydroxybenzophenone), and THB (2,4,4′-trihydroxybenzophenone) were human ERα (hERα) and hERβ and rainbow trout ERα (rtERα) and rtERβ agonists. To investigate ER activation profiles of the derivatives in vitro tests, i.e., competitive binding, reporter gene based assays, vitellogenin (Vtg) induction in isolated rainbow trout hepatocytes, and proliferation based assays were completed. hERβ was more strongly activated, which is an inverse finding to natural ligand 17β-estradiol (E2) where hERα is more strongly activated. BPs were more active in rtERα than in hERα assays. Significant VTG induction was detected in hERα, hERβ, rtERα, and rtERβ cultures (Molina-Molina et al., 2008).
- Tollefsen et al. (2003) looked at multiple endogenous (e.g., estrone (E1), estradiol (E2), and estriol (E3)) and exogenous estrogens (e.g., ethynyloestradiol (EE2), diethylstilbestrol (DES), genistein, zearalenone, bisphenol A) and found they induced dose-dependent VTG synthesis in Atlantic salmon hepatocytes.
- Shen et al. (2021) used in silico methods to screen 1056 pesticides for potential agonistic activity. They found 72 pesticides to be potential ER agonists, 14 of which have been previously reported as ER agonists. To test whether these pesticides were ER agonists, 10 were selected from the list, three that were previously reported as ER agonists and seven previously unreported as ER agonists. They found all 10 pesticides exhibited ERα agonistic activity in human or zebrafish cells and of the 10, seven also induced vtg1 and vtg2 mRNA in zebrafish.
- Xu et al (2020) also showed increase in plasma VTG following exposure to aryloxy-phenoxypropionate (APP) herbicides, after measuring the binding patterns of quizalofop-P-ethyl (QPE), clodinafop-propargyl (CP) and haloxyfop-P (HP) with ERα.
- In male fathead minnows exposed to E2 and 1H,1H,10H,10H-perfluorodecane-1,10-diol (FC-10 diol) for 21 days expression of hepatic esr1 and vtg were both significantly increased (Ankley et al. in prep).
- In male fathead minnows exposed to methoxychlor, a weak estrogen agonist, there was a clear induction of VTG (Ankley et al. 2001). In the same study exposure to methyltestosterone, a synthetic androgen, caused a significant induction of VTG in both male and female fathead minnows. This level of induction in female fathead minnows resulted in a dose-dependent increase in VTG, to concentrations approximately 10-fold higher than those observed in control fish. These funding were likely due to the conversion of methyltestosterone to methylestradiol (Hornung et al., 2004).
Original text - unknown contributor
There are generally few inconsistencies for experimental studies using model fish species dervied from pathogen-free laboratory cultures. However, there can some uncertainties where wild fish have been used for experimental purposes.
Added by C. Baettig June 24, 2024
- Some uncertainty remains regarding which ER subtypes regulate vtg gene expression in the liver of fish. In general, the literature suggests a close interplay between ER subtypes, primarily ERα and Erβ, in the regulation of vitellogenesis. Consequently, at present, the key event relationship is generalized to impacts on all ER subtypes, even though it remains possible that impacts on a particular sub-type may drive the effect on vitellogenin transcription and translation.
- Using selective agonists and antagonists for ERα and ERβ, it was concluded that ERβ was primarily responsible for inducing vitellogenin production in rainbow trout and that compounds exhibiting ERα selectivity would not be detected using a vitellogenin ELISA bioassay (Leaños-Castañeda & Van Der Kraak, 2007). However, a subsequent study conducted in tilapia concluded that agonistic and antagonistic characteristics of mammalian, isoform-specific ER agonists and antagonists, cannot be reliably extrapolated to piscine ERs (Davis et al., 2010).
- Based on RNA interference knock-down experiments Nelson and Habibi (2010) proposed a model in which all ER subtypes are involved in E2-mediated vitellogenesis, with ERβ isoforms stimulating expression of both vitellogenin and ERα gene expression, and ERα helping to drive vitellogenesis, particularly as it becomes more abundant following sensitization.
References
Navas, J.M., Segner, H. (2006) Vitellogenin synthesis in primary cultures of fish liver cells as endpoint for in vitro screening of the (anti)estrogenic activity of chemical substances. Aquatic Toxicology 80: 1-22
Thorpe, K.L., Benstead, R., Hutchinson, T.H., Tyler, C.R. (2007). Associations between altered vitellogenin concentrations and adverse health effects in fathead minnow (Pimephales promelas). Aquatic Toxicology 85: 176-183
- Brock, M. L., & Shapiro, D. (1983). Estrogen regulates the absolute rate of transcription of the Xenopus laevis vitellogenin genes. Journal of Biological Chemistry, 258(9), 5449-5455.
- Davis, L., Katsu, Y., Iguchi, T., Lerner, D., Hirano, T., & Grau, E. (2010). Transcriptional activity and biological effects of mammalian estrogen receptor ligands on three hepatic estrogen receptors in Mozambique tilapia. The Journal of steroid biochemistry and molecular biology, 122(4), 272-278.
- Denslow, N. D., Chow, M. C., Kroll, K. J., & Green, L. (1999). Vitellogenin as a biomarker of exposure for estrogen or estrogen mimics. Ecotoxicology, 8, 385-398.
- Hornung, M. W., Jensen, K. M., Korte, J. J., Kahl, M. D., Durhan, E. J., Denny, J. S., Henry, T. R., & Ankley, G. T. (2004). Mechanistic basis for estrogenic effects in fathead minnow (Pimephales promelas) following exposure to the androgen 17α-methyltestosterone: conversion of 17α-methyltestosterone to 17α-methylestradiol. Aquatic Toxicology, 66(1), 15-23. https://doi.org/https://doi.org/10.1016/j.aquatox.2003.06.004
- Leaños-Castañeda, O., & Van Der Kraak, G. (2007). Functional characterization of estrogen receptor subtypes, ERα and ERβ, mediating vitellogenin production in the liver of rainbow trout. Toxicology and applied pharmacology, 224(2), 116-125.
- Matozzo, V., Gagné, F., Marin, M. G., Ricciardi, F., & Blaise, C. (2008). Vitellogenin as a biomarker of exposure to estrogenic compounds in aquatic invertebrates: A review. Environment International, 34(4), 531-545. https://doi.org/https://doi.org/10.1016/j.envint.2007.09.008
- Miracle, A., Ankley, G., & Lattier, D. (2006). Expression of two vitellogenin genes (vg1 and vg3) in fathead minnow (Pimephales promelas) liver in response to exposure to steroidal estrogens and androgens. Ecotoxicology and environmental safety, 63(3), 337-342.
- Molina-Molina, J.-M., Escande, A., Pillon, A., Gomez, E., Pakdel, F., Cavaillès, V., Olea, N., Aït-Aïssa, S., & Balaguer, P. (2008). Profiling of benzophenone derivatives using fish and human estrogen receptor-specific in vitro bioassays. Toxicology and applied pharmacology, 232(3), 384-395.
- Nelson, E. R., & Habibi, H. R. (2010). Functional Significance of Nuclear Estrogen Receptor Subtypes in the Liver of Goldfish. Endocrinology, 151(4), 1668-1676. https://doi.org/10.1210/en.2009-1447
- Palmer, B. D., & Selcer, K. W. (1996). Vitellogenin as a biomarker for xenobiotic estrogens: a review. Environmental Toxicology and Risk Assessment: Biomarkers and Risk Assessment: Fifth Volume, 3-22.
- Shen, C., Zhu, K., Ruan, J., Li, J., Wang, Y., Zhao, M., He, C., & Zuo, Z. (2021). Screening of potential oestrogen receptor α agonists in pesticides via in silico, in vitro and in vivo methods. Environmental Pollution, 270, 116015.
- Tollefsen, K.-E., Mathisen, R., & Stenersen, J. (2003). Induction of vitellogenin synthesis in an Atlantic salmon (Salmo salar) hepatocyte culture: a sensitive in vitro bioassay for the oestrogenic and anti-oestrogenic activity of chemicals. Biomarkers, 8(5), 394-407.
- Verderame, M., & Scudiero, R. (2017). Estrogen-dependent, extrahepatic synthesis of vitellogenin in male vertebrates: A mini-review. Comptes Rendus Biologies, 340(3), 139-144. https://doi.org/https://doi.org/10.1016/j.crvi.2017.01.005
- Wheeler, J. R., Gimeno, S., Crane, M., Lopez-Juez, E., & Morritt, D. (2005). Vitellogenin: a review of analytical methods to detect (anti) estrogenic activity in fish. Toxicology Mechanisms and Methods, 15(4), 293-306.
- Xu, Y., Feng, R., Wang, L., Dong, L., Liu, R., Lu, H., & Wang, C. (2020). Computational and experimental investigations on the interactions of aryloxy-phenoxy-propionate herbicides to estrogen receptor alpha in zebrafish. Ecotoxicology and environmental safety, 189, 110003.
Relationship: 336: Increase, Vitellogenin synthesis in liver leads to Increase, Plasma vitellogenin concentrations
AOPs Referencing Relationship
| AOP Name | Adjacency | Weight of Evidence | Quantitative Understanding |
|---|---|---|---|
| Estrogen receptor agonism leading to reproductive dysfunction | adjacent | High | |
| Estrogen receptor agonism leading to reduced survival and population growth due to renal failure | adjacent | High | Moderate |
| Estrogen receptor agonism leads to reduced fecundity via increased vitellogenin in the liver | adjacent |
Evidence Supporting Applicability of this Relationship
Taxonomic applicability: Oviparous vertebrates synthesize yolk precursor proteins that are transported in the circulation for uptake by developing oocytes. Many invertebrates also synthesize vitellogenins that are taken up into developing oocytes via active transport mechanisms. However, invertebrate vitellogenins are transported in hemolymph or via other transport mechanisms rather than plasma.
Life stage: This KER is applicable to all life stages following the differentiation of the liver. Embryos prior to liver differentiation should not be included.
Sex: This KER is applicable to both sexes. However, as males do not have the ability to clear plasma VTG via uptake into the oocytes the outcome is more likely to be problematic in males. Therefore, this KER has more relevance in males both in the context of monitoring for exogenous estrogens and potential biological consequences of elevated VTG.
Evidence Supporting this KER
Biological PlausibilityOriginal text - unknown contributor
High level of physiological plausibility in fish.
Added by C. Baettig on June 24, 2024
The liver is the primary source of VTG synthesis and production and after it is synthesized it is secreted into the blood (Wallace, 1985). Vitellogenin transcription and translation results in protein production, although there is a delay between expression of vtg and actual production/detection of VTG (e.g., Korte et al. 2000).
Empirical Evidence
- In male tilapia, 48 hours after 17β-estradiol (E2) treatment, vtg hepatic mRNA expression was elevated as was plasma VTG (Davis et al., 2008).
- In time course studies an increase in vtg mRNA synthesis precedes increases in plasma VTG concentration. For example, a study using male fathead minnows injected with E2, vtg mRNA was detected in the liver within 4 hours, reached a maximum around 48 hours, and returned to normal levels after 6 days. Plasma VTG was detectable within 16 hours of treatment, reached maximum levels at about 72 hours, and did not return to normal levels for at least 18 days (Korte et al., 2000).
- Similar results were observed in a flow-through experiment using sheepshead minnows exposed to E2 and p-nonylphenol. A dose dependent increase in hepatic vtg mRNA initially occurred followed by plasma VTG increase. Their results further supported that hepatic vtg mRNA rapidly diminishes after termination of estrogenic exposure, but plasma VTG clearance is concentration and time dependent (Hemmer et al., 2002).
- Bowman et al. (2000) also found a time lag between vtg, which was elevated after 4 hours while induction of plasma VTG wasn’t detected until 24 hours in male sheepshead minnows injected with E2.
- During waterborne exposures to 17α-ethinylestradiol (EE2), male fathead minnows showed a strong increase of vtg mRNA within 3 days (first sampling time point in the study), which remained elevated for the entirety of the 35-day exposure. Although plasma VTG was first detectable on day 3 it did not significantly increase until day 14 further illustrating the lag between vtg mRNA and plasma increase (Schmid et al., 2002).
- In male fathead minnows exposed to E2 and FC-10 diol for 21 days, expression of hepatic vtg was significantly increased as was the plasma VTG (Ankley et al. in prep).
There are no known inconsistencies between these KERs which are not readily explained on the basis of the expected dose, temporal, and incidence relationships between these two KERs. This applies across a significant body of literature in which these two KEs have been measured.
Quantitative Understanding of the Linkage
Response-response relationshipModels and statistical relationships that define quantitative relationships between circulating E2 concentrations and circulating VTG concentrations have been developed (Ankley et al., 2008; Li et al., 2011; Murphy et al., 2009; Murphy et al., 2005). However, much of this work has focused on decreased VTG as a function of decreased E2, rather than induction.
Time-scaleDue to the timeline between induction of mRNA transcription, translation, and the appearance of protein in plasma, as well as variable rates of uptake of VTG from plasma into oocytes, a precise quantitative relationship describing all steps of vitellogenesis transcription/translation has not been described.
However, studies in fish suggest that that the temporal lag between mRNA transcription and increased plasma concentrations takes place within 24 hours. For example, in fish injected with E2 there is generally an increase of vtg mRNA beginning around 4 hours whereas plasma VTG isn’t measurable until 16-24 hours (Bowman et al., 2000; Korte et al., 2000). Additionally, in waterborne exposure of estrone (E1) in juvenile rainbow trout, elevated vtg mRNA occurred on day 4 of exposure while plasma VTG was elevated on day 5 (Osachoff et al., 2016).
Known Feedforward/Feedback loops influencing this KERThere is no known feedback as plasma VTG does not appear to regulate expression levels in the liver.
References
- Ankley, G. T., Miller, D. H., Jensen, K. M., Villeneuve, D. L., & Martinović, D. (2008). Relationship of plasma sex steroid concentrations in female fathead minnows to reproductive success and population status. Aquatic Toxicology, 88(1), 69-74. https://doi.org/https://doi.org/10.1016/j.aquatox.2008.03.005
- Bowman, C. J., Kroll, K. J., Hemmer, M. J., Folmar, L. C., & Denslow, N. D. (2000). Estrogen-induced vitellogenin mRNA and protein in sheepshead minnow (Cyprinodon variegatus). General and Comparative Endocrinology, 120(3), 300-313.
- Davis, L. K., Pierce, A. L., Hiramatsu, N., Sullivan, C. V., Hirano, T., & Grau, E. G. (2008). Gender-specific expression of multiple estrogen receptors, growth hormone receptors, insulin-like growth factors and vitellogenins, and effects of 17β-estradiol in the male tilapia (Oreochromis mossambicus). General and Comparative Endocrinology, 156(3), 544-551.
- Hemmer, M. J., Bowman, C. J., Hemmer, B. L., Friedman, S. D., Marcovich, D., Kroll, K. J., & Denslow, N. D. (2002). Vitellogenin mRNA regulation and plasma clearance in male sheepshead minnows,(Cyprinodon variegatus) after cessation of exposure to 17β-estradiol and p-nonylphenol. Aquatic Toxicology, 58(1-2), 99-112.
- Korte, J. J., Kahl, M. D., Jensen, K. M., Pasha, M. S., Parks, L. G., LeBlanc, G. A., & Ankley, G. T. (2000). Fathead minnow vitellogenin: Complementary DNA sequence and messenger RNA and protein expression after 17β‐estradiol treatment. Environmental Toxicology and Chemistry: An International Journal, 19(4), 972-981.
- Li, Z., Kroll, K. J., Jensen, K. M., Villeneuve, D. L., Ankley, G. T., Brian, J. V., Sepúlveda, M. S., Orlando, E. F., Lazorchak, J. M., Kostich, M., Armstrong, B., Denslow, N. D., & Watanabe, K. H. (2011). A computational model of the hypothalamic - pituitary - gonadal axis in female fathead minnows (Pimephales promelas) exposed to 17α-ethynylestradiol and 17β-trenbolone. BMC Systems Biology, 5(1), 63. https://doi.org/10.1186/1752-0509-5-63
- Murphy, C. A., Rose, K. A., Rahman, M. S., & Thomas, P. (2009). Testing and applying a fish vitellogenesis model to evaluate laboratory and field biomarkers of endocrine disruption in Atlantic croaker (Micropogonias undulatus) exposed to hypoxia. Environmental toxicology and chemistry, 28(6), 1288-1303. https://doi.org/https://doi.org/10.1897/08-304.1
- Murphy, C. A., Rose, K. A., & Thomas, P. (2005). Modeling vitellogenesis in female fish exposed to environmental stressors: predicting the effects of endocrine disturbance due to exposure to a PCB mixture and cadmium. Reproductive Toxicology, 19(3), 395-409. https://doi.org/https://doi.org/10.1016/j.reprotox.2004.09.006
- Osachoff, H. L., Brown, L. L. Y., Tirrul, L., van Aggelen, G. C., Brinkman, F. S. L., & Kennedy, C. J. (2016). Time course of hepatic gene expression and plasma vitellogenin protein concentrations in estrone-exposed juvenile rainbow trout (Oncorhynchus mykiss). Comparative Biochemistry and Physiology Part D: Genomics and Proteomics, 19, 112-119. https://doi.org/https://doi.org/10.1016/j.cbd.2016.02.002
- Schmid, T., Gonzalez-Valero, J., Rufli, H., & Dietrich, D. R. (2002). Determination of vitellogenin kinetics in male fathead minnows (Pimephales promelas). Toxicology Letters, 131(1), 65-74. https://doi.org/https://doi.org/10.1016/S0378-4274(02)00043-7
- Wallace, R. A. (1985). Vitellogenesis and oocyte growth in nonmammalian vertebrates. Oogenesis, 127-177.
Relationship: 254: Increase, Plasma vitellogenin concentrations leads to Increase, Renal pathology due to VTG deposition
AOPs Referencing Relationship
| AOP Name | Adjacency | Weight of Evidence | Quantitative Understanding |
|---|---|---|---|
| Estrogen receptor agonism leading to reproductive dysfunction | adjacent | High | |
| Estrogen receptor agonism leading to reduced survival and population growth due to renal failure | adjacent | Moderate | Low |
Evidence Supporting Applicability of this Relationship
Original text - unknown contribution
Publish studies specifically relate to fish, although it is plausible that the same response may occur in the aquatic life-stages of amphibians.
Added by C. Baettig on June 24, 2024
Taxonomic applicability: Oviparous vertebrates that synthesize yolk precursor proteins and have functional kidneys.
Life stage: This KER is applicable to all life stages following the differentiation of the liver and kidney.
Sex: This KER is applicable to both sexes.
Evidence Supporting this KER
Biological PlausibilityOriginal text - unknown contribution
High level of biological plausibility in fish.
Added by C. Baettig on June 24, 2024
When large quantities of VTG are circulating hyalin material can accumulate in the kidneys which can cause significant pathology (Folmar et al., 2001; Herman & Kincaid, 1988; Palace et al., 2002). Additionally, eosinophilic material is known to accumulate in kidney tubules and has been proposed to be due to high circulating VTG (Hahlbeck et al., 2004). Similarly, cilia proliferation observed in renal tubules is assumed to be related to increased absorption of circulating vitellogenin (Zha et al., 2008).
Empirical EvidenceOriginal text - unknown contribution
Laboratory in vivo aquatic exposures of fish (fathead minnow) to 17alpha-ethinylestradiol led to renal pathology within 16 weeks, concomitant with macroscopic evidence of osmoregulatory dysfunction and morbidity (Laenge et al., 2001).
Added by C. Baettig on June 24, 2024
- Male summer flounder injected with 17β-estradiol (E2) had increased levels of circulating VTG. The accumulation of VTG resulted in obstruction or rupture of renal glomeruli (Folmar et al., 2001).
- Male rare minnow exposed to 17α-ethinylestradiol (EE2) and 4-nonylphenol (NP) had significantly increased plasma VTG concentrations, as did females after EE2 exposure. This resulted in hemorrhages in male kidney tubules, hypertrophy of tubular epithelia, and accumulated eosinophilic material in renal tissue (Zha et al., 2007).
- Elevated levels of VTG and kidney hypertrophy in juvenile three-spined sticklebacks was observed after exposure to E2 and EE2 (Hahlbeck et al., 2004).
- Male fathead minnows experimentally exposed to EE2 within a whole lake experiment showed 9000-fold higher VTG concentrations than fish captured from the same lake prior to the EE2 additions. Edema in the interstitium between kidney tubules and eosinophilic deposits in the kidney tubule lumen were also observed in the EE2-exposed male fatheads (Palace et al., 2002).
- After exposure to bisphenol A VTG levels increased in fathead minnows resulting in glomerular epithelial cell hyperplasia, hyaline droplets in glomeruli, glomerular mesangial membrane thickening, intravascular proteinaceous fluid, tubular dilation, and dilation of Bowman’s spaces (Mihaich et al., 2012).
- Fathead minnow embryos exposed to EE2 exhibited increased whole body VTG levels and tubular degeneration and dilation and glomerulonephritis/glomerulosclerosis was observable after 16 weeks (Länge et al., 2001).
- In male fathead minnows exposed to E2 and an estrogenic PFAS, FC-10 diol, for 21 days plasma VTG was significantly increased. Neuropathy in the kidneys of diol-exposed fish was observed, specifically tubule dilation, tubule protein, enlarged glomeruli, glomerular protein, and thickened basement membranes. Additionally, interstitial and intravascular proteinaceous fluid was significantly elevated (Ankley et al. in prep).
Original text - unknown contribution
None that the author of this entry is aware of.
Added by C. Baettig on June 24, 2024
Although the accumulation of hyalin material/lipoprotein within the kidneys has been confirmed to be partially caused by accumulated VTG, some of the accumulated proteins do not respond to VTG antibody (e.g., Folmar et al., 2001). Because male fish will also express other estrogen inducible proteins such as vitelline envelope and zona radiata some renal pathology could be caused by these related proteins rather than VTG (Johan Hyllner et al., 1994; Oppen‐Berntsen et al., 1994).
Proliferative kidney disease (PKD) in fish caused by the parasite Tetracapsuloides bryosalmonae results in significant kidney pathology. However, when PKD infection took place under simultaneous exposure to EE2, kidney pathology was less pronounced despite the fact that hepatic vtg was elevated in fish exposed to the estrogen (Bailey et al., 2019; Rehberger et al., 2020).
References
Herman, R.L., Kincaid, H.L. (1988) Pathological effects of orally administered 17beta-estradiol to rainbow trout. Aquaculture 72:165–172
Länge, R., Hutchinson, T.H., Croudace, C.P., Siegmund, F., Schweinfurth, H., Hampe, P., Panter, G.H., Sumpter, J.P. (2001) Effects of the synthetic estrogen 17 alpha-ethinylestradiol on the life-cycle of the fathead minnow (Pimephales promelas). Environ Toxicol Chem 20:1216-1227
- Bailey, C., von Siebenthal, E. W., Rehberger, K., & Segner, H. (2019). Transcriptomic analysis of the impacts of ethinylestradiol (EE2) and its consequences for proliferative kidney disease outcome in rainbow trout (Oncorhynchus mykiss). Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology, 222, 31-48. https://doi.org/https://doi.org/10.1016/j.cbpc.2019.04.009
- Folmar, L. C., Gardner, G. R., Schreibman, M. P., Magliulo-Cepriano, L., Mills, L. J., Zaroogian, G., Gutjahr-Gobell, R., Haebler, R., Horowitz, D. B., & Denslow, N. D. (2001). Vitellogenin-induced pathology in male summer flounder (Paralichthys dentatus). Aquatic Toxicology, 51(4), 431-441.
- Hahlbeck, E., Katsiadaki, I., Mayer, I., Adolfsson-Erici, M., James, J., & Bengtsson, B.-E. (2004). The juvenile three-spined stickleback (Gasterosteus aculeatus L.) as a model organism for endocrine disruption II—kidney hypertrophy, vitellogenin and spiggin induction. Aquatic Toxicology, 70(4), 311-326.
- Herman, R. L., & Kincaid, H. L. (1988). Pathological effects of orally administered estradiol to rainbow trout. Aquaculture, 72(1-2), 165-172.
- Johan Hyllner, S., Silvers, C., & Haux, C. (1994). Formation of the vitelline envelope precedes the active uptake of vitellogenin during oocyte development in the rainbow trout, Oncorhynchus mykiss. Molecular Reproduction and Development, 39(2), 166-175.
- Länge, R., Hutchinson, T. H., Croudace, C. P., Siegmund, F., Schweinfurth, H., Hampe, P., Panter, G. H., & Sumpter, J. P. (2001). Effects of the synthetic estrogen 17α‐ethinylestradiol on the life‐cycle of the fathead minnow (Pimephales promelas). Environmental Toxicology and Chemistry: An International Journal, 20(6), 1216-1227.
- Mihaich, E., Rhodes, J., Wolf, J., van der Hoeven, N., Dietrich, D., Hall, A. T., Caspers, N., Ortego, L., Staples, C., & Dimond, S. (2012). Adult fathead minnow, Pimephales promelas, partial life‐cycle reproductive and gonadal histopathology study with bisphenol A. Environmental toxicology and chemistry, 31(11), 2525-2535.
- Oppen‐Berntsen, D., Olsen, S., Rong, C., Taranger, G., Swanson, P., & Walther, B. (1994). Plasma levels of eggshell zr‐proteins, estradiol‐17β, and gonadotropins during an annual reproductive cycle of Atlantic salmon (Salmo salar). Journal of Experimental Zoology, 268(1), 59-70.
- Palace, V. P., Evans, R. E., Wautier, K., Baron, C., Vandenbyllardt, L., Vandersteen, W., & Kidd, K. (2002). Induction of vitellogenin and histological effects in wild fathead minnows from a lake experimentally treated with the synthetic estrogen, ethynylestradiol. Water Quality Research Journal, 37(3), 637-650.
- Rehberger, K., Wernicke von Siebenthal, E., Bailey, C., Bregy, P., Fasel, M., Herzog, E. L., Neumann, S., Schmidt-Posthaus, H., & Segner, H. (2020). Long-term exposure to low 17α-ethinylestradiol (EE2) concentrations disrupts both the reproductive and the immune system of juvenile rainbow trout, Oncorhynchus mykiss. Environment International, 142, 105836. https://doi.org/https://doi.org/10.1016/j.envint.2020.105836
- Zha, J., Sun, L., Zhou, Y., Spear, P. A., Ma, M., & Wang, Z. (2008). Assessment of 17α-ethinylestradiol effects and underlying mechanisms in a continuous, multigeneration exposure of the Chinese rare minnow (Gobiocypris rarus). Toxicology and applied pharmacology, 226(3), 298-308.
- Zha, J., Wang, Z., Wang, N., & Ingersoll, C. (2007). Histological alternation and vitellogenin induction in adult rare minnow (Gobiocypris rarus) after exposure to ethynylestradiol and nonylphenol. Chemosphere, 66(3), 488-495.
Relationship: 3258: Increase, Renal pathology due to VTG deposition leads to Increased Mortality
AOPs Referencing Relationship
| AOP Name | Adjacency | Weight of Evidence | Quantitative Understanding |
|---|---|---|---|
| Estrogen receptor agonism leading to reduced survival and population growth due to renal failure | adjacent | Moderate | Low |
Evidence Supporting Applicability of this Relationship
Taxonomic applicability: All vertebrates with functional kidneys.
Life stage: This KER is applicable to all life stages following the differentiation of the kidney.
Sex: This KER is applicable to both sexes.
Evidence Supporting this KER
Biological PlausibilityThe kidneys perform a suite of physiological roles that are critical for organismal homeostasis including waste excretion, osmoregulation, and fluid homeostasis (Preuss, 1993). The renal system can incur damage from a variety of sources which can lead to a loss of renal functions such as decreased glomerular filtration rate or impaired clearance of waste products which can lead to death (McKee & Wingert, 2015).
For example, in fish exposed to estrogenic compounds there is evidence that excessive production of vitellogenin (VTG), which leads to renal failure, increases mortality in fish (Herman & Kincaid, 1988). Generally, the molecular mass of proteins in glomerular filtrate are lower than albumin but when proteins like VTG are deposited in the kidneys they cannot be resorbed and the excess protein can lead to glomerular rupturing or hemorrhaging (Tojo & Kinugasa, 2012). Ultimately these pathologies can cause acute renal failure resulting in mortality.
Empirical Evidence- Male summer flounder injected with 17β-estradiol (E2) had increased levels of circulating VTG. The accumulation of VTG resulted in obstruction or rupture of renal glomeruli. Glomerular injury including immunoreactive hyalin material within the glomerular capsule, increased drainage into Bowman’s space and renal tubules. Mortality observed after E2 treatment likely resulted from acute renal failure associated with excessive VTG accumulation in the kidney (Folmar et al., 2001).
- High mortality was observed in rainbow trout fed E2. The accumulation of circulating VTG most likely resulted in hypertrophy of the kidneys (Herman & Kincaid, 1988).
- Abdel-Tawwab et al. (2020) found that in European sea bass fed dietary zearalenone combined with exposure to a pathogen, Vibrio alginolyticus, increased mortality. A depletion of serum total protein, albumin, and globulin was observed in in zearalenone fed fish which resulted in kidney dysfunction and ultimately increased mortality.
- Exposure to microcystin-LR (MC-LR) resulted in kidney lesions consisting of coagulative tubular necrosis with a dilation of Bowman's space and caused mortality in rainbow trout (Kotak et al., 1996). Mortality is most likely due to MC-LR resulting in significantly dysregulating proteins related to ionic regulation (Shahmohamadloo et al., 2022).
- Laboratory in vivo aquatic exposures of fathead minnow to EE2 led to renal pathology within 16 weeks, concomitant with macroscopic evidence of osmoregulatory dysfunction and morbidity (Länge et al., 2001).
- Proliferative kidney disease caused by Tetracapsuloides bryosalmonae in salmonid fish result in significant kidney lesions and often resulted in mortality (e.g., Bettge et al., 2009; Schmidt-Posthaus et al., 2015; Sterud et al., 2007).
- In male fathead minnows exposed to the estrogenic PFAS FC-10 diol for 21 days neuropathy in the kidneys was observed, specifically tubule dilation, tubule protein, enlarged glomeruli, glomerular protein, and thickened basement membranes. Additionally, interstitial and intravascular proteinaceous fluid was significantly elevated. Elevated mortality in males was also observed (Ankley et al. in prep).
References
- Abdel-Tawwab, M., Khalifa, E., Diab, A. M., Khallaf, M. A., Abdel-Razek, N., & Khalil, R. H. (2020). Dietary garlic and chitosan alleviated zearalenone toxic effects on performance, immunity, and challenge of European sea bass, Dicentrarchus labrax, to Vibrio alginolyticus infection. Aquaculture International, 28, 493-510.
- Bettge, K., Wahli, T., Segner, H., & Schmidt-Posthaus, H. (2009). Proliferative kidney disease in rainbow trout: time-and temperature-related renal pathology and parasite distribution. Diseases of aquatic organisms, 83(1), 67-76.
- Folmar, L. C., Gardner, G. R., Schreibman, M. P., Magliulo-Cepriano, L., Mills, L. J., Zaroogian, G., Gutjahr-Gobell, R., Haebler, R., Horowitz, D. B., & Denslow, N. D. (2001). Vitellogenin-induced pathology in male summer flounder (Paralichthys dentatus). Aquatic Toxicology, 51(4), 431-441.
- Herman, R. L., & Kincaid, H. L. (1988). Pathological effects of orally administered estradiol to rainbow trout. Aquaculture, 72(1-2), 165-172.
- Kotak, B. G., Semalulu, S., Fritz, D. L., Prepas, E. E., Hrudey, S. E., & Coppock, R. W. (1996). Hepatic and renal pathology of intraperitoneally administered microcystin-LR in rainbow trout (Oncorhynchus mykiss). Toxicon, 34(5), 517-525.
- Länge, R., Hutchinson, T. H., Croudace, C. P., Siegmund, F., Schweinfurth, H., Hampe, P., Panter, G. H., & Sumpter, J. P. (2001). Effects of the synthetic estrogen 17α‐ethinylestradiol on the life‐cycle of the fathead minnow (Pimephales promelas). Environmental Toxicology and Chemistry: An International Journal, 20(6), 1216-1227.
- McKee, R. A., & Wingert, R. A. (2015). Zebrafish Renal Pathology: Emerging Models of Acute Kidney Injury. Current Pathobiology Reports, 3(2), 171-181. https://doi.org/10.1007/s40139-015-0082-2
- Preuss, H. G. (1993). Basics of renal anatomy and physiology. Clinics in laboratory medicine, 13(1), 1-11.
- Schmidt-Posthaus, H., Hirschi, R., & Schneider, E. (2015). Proliferative kidney disease in brown trout: Infection level, pathology and mortality under field conditions. Diseases of aquatic organisms, 114(2), 139-146.
- Shahmohamadloo, R. S., Ortiz Almirall, X., Simmons, D. B. D., Poirier, D. G., Bhavsar, S. P., & Sibley, P. K. (2022). Fish tissue accumulation and proteomic response to microcystins is species-dependent. Chemosphere, 287, 132028. https://doi.org/https://doi.org/10.1016/j.chemosphere.2021.132028
- Sterud, E., Forseth, T., Ugedal, O., Poppe, T. T., Jørgensen, A., Bruheim, T., Fjeldstad, H.-P., & Mo, T. A. (2007). Severe mortality in wild Atlantic salmon Salmo salar due to proliferative kidney disease (PKD) caused by Tetracapsuloides bryosalmonae (Myxozoa). Diseases of aquatic organisms, 77(3), 191-198.
- Tojo, A., & Kinugasa, S. (2012). Mechanisms of glomerular albumin filtration and tubular reabsorption. Int J Nephrol, 2012, 481520. https://doi.org/10.1155/2012/481520
Relationship: 2013: Increased Mortality leads to Decrease, Population growth rate
AOPs Referencing Relationship
Evidence Supporting Applicability of this Relationship
| Life Stage | Evidence |
|---|---|
| All life stages | High |
| Sex | Evidence |
|---|---|
| Unspecific | Moderate |
Taxonomic: All organisms must survive to reproductive age in order to reproduce and sustain populations. The additional considerations related to survival made above are applicable to other fish species in addition to zebrafish and fathead minnows with the same reproductive strategy (r-strategist as described in the theory of MaxArthur and Wilson (1967). The impact of reduced survival on population size is even greater for k-strategists that invest more energy in a lower number of offspring.
Life stage: Density dependent effects start to play a role in the larval stage of fish when free-feeding starts (Hazlerigg et al., 2014).
Sex: This linkage is independent of sex.
Key Event Relationship Description
Increased mortality in the reproductive population may lead to a declining population. This depends on the excess mortality due to the applied stressor and the environmental parameters such as food availability and predation rate. Most fish species are r-strategist, meaning they produce a lot of offspring instead of investing in parental care. This results in natural high larval mortality causing only a small percentage of the larvae to survive to maturity. If the excess larval mortality due to a stressor is small, the population dynamics might result in constant population size. Should the larval excess be more significant, or last on the long-term, this will affect the population. To calculate the long-term persistence of the population, population dynamic models should be used.
Evidence Supporting this KER
Survival rate is an obvious determinant of population size and is therefore included in population modeling (e.g., Miller et al., 2020).
Biological Plausibility- Survival to reproductive maturity is a parameter of demographic significance. Assuming resource availability (i.e., food, habitat, etc.) is not limiting to the extant population, sufficient mortality in the reproductive population may ultimately lead to declining population trajectories.
- Under some conditions, reduced larval survival may be compensated by reduced predation and increased food availability, and therefore not result in population decline (Stige et al., 2019).
- According to empirical data, combined with population dynamic models, feeding larvae are the crucial life stage in zebrafish (and other r-strategists) for the regulation of the population. (Schäfers et al., 1993)
- In fathead minnow, natural survival of early life stages has been found to be highly variable and influential on population growth (Miller and Ankley, 2004)
- Rearick et al. (2018) used data from behavioural assays linked to survival trials and applied a modelling approach to quantify changes in antipredator escape performance of larval fathead minnows in order to predict changes in population abundance. This work was done in the context of exposure to an environmental oestrogen. Exposed fish had delayed response times and slower escape speeds, and were more susceptible to predation. Population modelling showed that this can result in population decline.
- In the context of fishing and fisheries, ample evidence of a link between increased mortality and a decrease of population size has been given. Important insights can result from the investigation of optimum modes of fishing that allow for maintaining a population (Alekseeva and Rudenko, 2018). Jacobsen and Essington (2018) showed the impact of varying predation mortality on forage fish populations.
- Boreman (1997) reviewed methods for comparing the population-level effects of mortality in fish populations induced by pollution or fishing.
- The extent to which larval mortality affects population size could depend on the fraction of surplus mortality compared to a natural situation.
- There are scenarios in which individual mortality may not lead to declining population size. These include instances where populations are limited by the availability of habitat and food resources, which can be replenished through immigration. Effects of mortality in the larvae can be compensated by reduced competition for resources (Stige et al., 2019).
- The direct impact of pesticides on migration behavior can be difficult to track in the field, and documentation of mortality during migration is likely underestimated (Eng 2017).
References
Alekseeva SM, Rudenko AI. 2018. Modeling of optimum fishing population. Marine Intellectual Technologies. 3(4):142-146.
Beaudouin, R., Goussen, B., Piccini, B., Augustine, S., Devillers, J., Brion, F., Pery, A.R., 2015. An individual-based model of zebrafish population dynamics accounting for energy dynamics. PloS one 10, e0125841.
Boreman J. 1997. Methods for comparing the impacts of pollution and fishing on fish populations. Transactions of the American Fisheries Society. 126(3):506-513.
Caswell, H., 2000. Matrix population models. Sinauer Sunderland, MA, USA.
Eng, M.L., Stutchbury, B.J.M. & Morrissey, C.A. Imidacloprid and chlorpyrifos insecticides impair migratory ability in a seed-eating songbird. Sci Rep 7, 15176 (2017)
Hazlerigg, C.R., Lorenzen, K., Thorbek, P., Wheeler, J.R., Tyler, C.R., 2012. Density-dependent processes in the life history of fishes: evidence from laboratory populations of zebrafish Danio rerio. PLoS One 7, e37550.
Jacobsen NS, Essington TE. 2018. Natural mortality augments population fluctuations of forage fish. Fish and Fisheries. 19(5):791-797.
MacArthur, R., Wilson, E., 1967. The Theory of Island Biogeography. Princeton: Princeton Univ. Press. 203 p.
Miller, D.H., Ankley, G.T., 2004. Modeling impacts on populations: fathead minnow (Pimephales promelas) exposure to the endocrine disruptor 17β-trenbolone as a case study. Ecotoxicology and Environmental Safety 59, 1-9.
Miller, D.H., Clark, B.W., Nacci, D.E. 2020. A multidimensional density dependent matrix population model for assessing risk of stressors to fish populations. Ecotoxicology and environmental safety 201, 110786
Pinceel, T., Vanschoenwinkel, B., Brendonck, L., Buschke, F., 2016. Modelling the sensitivity of life history traits to climate change in a temporary pool crustacean. Scientific reports 6, 29451.
Rearick, D.C., Ward, J., Venturelli, P., Schoenfuss, H., 2018. Environmental oestrogens cause predation-induced population decline in a freshwater fish. Royal Society open science 5, 181065.
Schäfers, C., Oertel, D., Nagel, R., 1993. Effects of 3, 4-dichloroaniline on fish populations with differing strategies of reproduction. In: Braunbeck, T. , Hanke, W and Segner, H. (eds) Ecotoxicology and Ecophysiology, VCH, Weinheim, 133-146.
Stige, L.C., Rogers, L.A., Neuheimer, A.B., Hunsicker, M.E., Yaragina, N.A., Ottersen, G., Ciannelli, L., Langangen, Ø., Durant, J.M., 2019. Density‐and size‐dependent mortality in fish early life stages. Fish and Fisheries 20, 962-976.Hazlerigg, C.R.E., Tyler, C.R., Lorenzen, K., Wheeler, J.R., Thorbek, P., 2014. Population relevance of toxicant mediated changes in sex ratio in fish: An assessment using an individual-based zebrafish (Danio rerio) model. Ecological Modelling 280, 76-88.
Stige, L.C., Rogers, L.A., Neuheimer, A.B., Hunsicker, M.E., Yaragina, N.A., Ottersen, G., Ciannelli, L., Langangen, O., Durant, J.M., 2019. Density- and size-dependent mortality in fish early life stages. Fish and Fisheries 20, 962-976.