Literature DB >> 35020961

A Multidimensional Matrix Model for Predicting the Effects of Male-Biased Sex Ratios on Fish Populations.

David H Miller1, Daniel L Villeneuve2, Kelvin J Santana-Rodriguez3, Gerald T Ankley2.   

Abstract

Laboratory experiments have established that exposure to certain endocrine-active substances prior to and/or during the period of sexual differentiation can lead to skewed sex ratios in fish. However, the potential long-term population impact of biased sex ratio depends on multiple factors including the life history of the species and whether the ratio is male or female-biased. In the present study, we describe a novel multidimensional, density-dependent matrix model that analyzes age class-structure of both males and females over time, allowing for the quantitative evaluation of the effects of biased sex ratio on population status. This approach can be used in conjunction with field monitoring efforts and/or laboratory testing to link effects on sex ratio due to chemical and/or nonchemical stressors to adverse outcomes in whole organisms and populations. For demonstration purposes, we applied the model to evaluate population trajectories for fathead minnow (Pimephales promelas) exposed to prochloraz, an aromatase inhibitor, during sexual differentiation. The model also was used to explore the population impact in a more realistic exposure scenario in which both adult and early life stages of fish are exposed concurrently to prochloraz, which, in addition to altering sex ratio during development, can decrease vitellogenin and egg production in adult females. For each exposure scenario, the model was used to analyze total population size, numbers of females and of males, and sex specific recruitment of the F1 generation. The present study illustrates the utility of multidimensional matrix population models for ecological risk assessment in terms of integrating effects across a population of an organism even when chemical effects on individuals are manifested via different pathways depending on life stage. Environ Toxicol Chem 2022;41:1066-1077. Published 2022. This article is a U.S. Government work and is in the public domain in the USA. Published 2022. This article is a U.S. Government work and is in the public domain in the USA.

Entities:  

Keywords:  Adverse outcome pathway; Ecological risk assessment; Endocrine active chemical; Fathead minnow; Population model

Mesh:

Substances:

Year:  2022        PMID: 35020961      PMCID: PMC9586198          DOI: 10.1002/etc.5287

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   4.218


  45 in total

Review 1.  Potential application of population models in the European ecological risk assessment of chemicals. II. Review of models and their potential to address environmental protection aims.

Authors:  Nika Galic; Udo Hommen; J M Hans Baveco; Paul J van den Brink
Journal:  Integr Environ Assess Manag       Date:  2010-07       Impact factor: 2.992

2.  On the use of matrices in certain population mathematics.

Authors:  P H LESLIE
Journal:  Biometrika       Date:  1945-11       Impact factor: 2.445

3.  Toward an AOP Network-Based Tiered Testing Strategy for the Assessment of Thyroid Hormone Disruption.

Authors:  Dries Knapen; Evelyn Stinckens; Jenna E Cavallin; Gerald T Ankley; Henrik Holbech; Daniel L Villeneuve; Lucia Vergauwen
Journal:  Environ Sci Technol       Date:  2020-07-09       Impact factor: 9.028

4.  Linkage of biochemical responses to population-level effects: a case study with vitellogenin in the fathead minnow (Pimephales promelas).

Authors:  David H Miller; Kathleen M Jensen; Daniel L Villeneuve; Michael D Kahl; Elizabeth A Makynen; Elizabeth J Durhan; Gerald T Ankley
Journal:  Environ Toxicol Chem       Date:  2007-03       Impact factor: 3.742

5.  Linking mechanistic toxicology to population models in forecasting recovery from chemical stress: A case study from Jackfish Bay, Ontario, Canada.

Authors:  David H Miller; Joseph E Tietge; Mark E McMaster; Kelly R Munkittrick; Xiangsheng Xia; David A Griesmer; Gerald T Ankley
Journal:  Environ Toxicol Chem       Date:  2015-05-05       Impact factor: 3.742

6.  Climate change and pollution speed declines in zebrafish populations.

Authors:  A Ross Brown; Stewart F Owen; James Peters; Yong Zhang; Marta Soffker; Gregory C Paull; David J Hosken; M Abdul Wahab; Charles R Tyler
Journal:  Proc Natl Acad Sci U S A       Date:  2015-03-02       Impact factor: 11.205

7.  Relationship of plasma sex steroid concentrations in female fathead minnows to reproductive success and population status.

Authors:  Gerald T Ankley; David H Miller; Kathleen M Jensen; Daniel L Villeneuve; Dalma Martinović
Journal:  Aquat Toxicol       Date:  2008-03-18       Impact factor: 4.964

Review 8.  Critical Review of Read-Across Potential in Testing for Endocrine-Related Effects in Vertebrate Ecological Receptors.

Authors:  Margaret E McArdle; Elaine L Freeman; Jane P Staveley; Lisa S Ortego; Katherine K Coady; Lennart Weltje; Arnd Weyers; James R Wheeler; Audrey J Bone
Journal:  Environ Toxicol Chem       Date:  2020-03-04       Impact factor: 3.742

9.  Androgenic and estrogenic activity in water bodies receiving cattle feedlot effluent in Eastern Nebraska, USA.

Authors:  Ana M Soto; Janine M Calabro; Nancy V Prechtl; Alice Y Yau; Edward F Orlando; Andreas Daxenberger; Alan S Kolok; Louis J Guillette; Bruno le Bizec; Iris G Lange; Carlos Sonnenschein
Journal:  Environ Health Perspect       Date:  2004-03       Impact factor: 9.031

Review 10.  Molecular players involved in temperature-dependent sex determination and sex differentiation in Teleost fish.

Authors:  Zhi-Gang Shen; Han-Ping Wang
Journal:  Genet Sel Evol       Date:  2014-04-15       Impact factor: 4.297

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