Shared Genomic Regions Underlie Natural Variation in Diverse Toxin Responses

Evans, Kathryn S.; Brady, Shannon C.; Bloom, Joshua S.; Tanny, Robyn E.; Cook, Daniel E.; Giuliani, Sarah E.; Hippleheuser, Stephen W.; Zamanian, Mostafa; Andersen, Erik C.

doi:10.1534/genetics.118.301311

Shared Genomic Regions Underlie Natural Variation in Diverse Toxin Responses

Journal Article · Sat Oct 06 00:00:00 EDT 2018 · Genetics

DOI:https://doi.org/10.1534/genetics.118.301311· OSTI ID:1571945

^[1]; ^[1]; ^[2]; ^[3]; ^[1]; Giuliani, Sarah E. ^[3]; Hippleheuser, Stephen W. ^[3]; ^[4]; ^[5]

Northwestern Univ., Evanston, IL (United States). Molecular Biosciences; Northwestern Univ., Evanston, IL (United States). Interdisciplinary Biological Sciences Program
Univ. of California, Los Angeles, CA (United States). Dept. of Human Genetics
Northwestern Univ., Evanston, IL (United States). Molecular Biosciences
Northwestern Univ., Evanston, IL (United States). Robert H. Lurie Comprehensive Cancer Center
Northwestern Univ., Evanston, IL (United States). Molecular Biosciences; Northwestern Univ., Evanston, IL (United States). Robert H. Lurie Comprehensive Cancer Center

Phenotypic complexity is caused by the contributions of environmental factors and multiple genetic loci, interacting or acting independently. Studies of yeast and Arabidopsis often find that the majority of natural variation across phenotypes is attributable to independent additive quantitative trait loci (QTL). Detected loci in these organisms explain most of the estimated heritable variation. By contrast, many heritable components underlying phenotypic variation in metazoan models remain undetected. Before the relative impacts of additive and interactive variance components on metazoan phenotypic variation can be dissected, high replication and precise phenotypic measurements are required to obtain sufficient statistical power to detect loci contributing to this missing heritability. Here, we used a panel of 296 recombinant inbred advanced intercross lines of Caenorhabditis elegans and a high-throughput fitness assay to detect loci underlying responses to 16 different toxins, including heavy metals, chemotherapeutic drugs, pesticides, and neuropharmaceuticals. Using linkage mapping, we identified 82 QTL that underlie variation in responses to these toxins, and predicted the relative contributions of additive loci and genetic interactions across various growth parameters. Additionally, we identified three genomic regions that impact responses to multiple classes of toxins. These QTL hotspots could represent common factors impacting toxin responses. We went further to generate near-isogenic lines and chromosome substitution strains, and then experimentally validated these QTL hotspots, implicating additive and interactive loci that underlie toxin-response variation.

View Accepted Manuscript (DOE)

Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1571945

Journal Information:: Genetics, Journal Name: Genetics Journal Issue: 4 Vol. 210; ISSN 0016-6731

Publisher:: Genetics Society of AmericaCopyright Statement

Country of Publication:: United States

Language:: English

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59 BASIC BIOLOGICAL SCIENCES
C. elegans
QTL
genetic interactions
pleiotropy
toxin

Supplemental Material for Evans et al., 2018 Evans, Kathryn; Brady, Shannon C.; Bloom, Joshua S. https://doi.org/10.25386/genetics.7158911 The current record is supplemented by this collection	collection	January 2018
Supplemental Material for Evans et al., 2018 Evans, Kathryn; Brady, Shannon C.; Bloom, Joshua S. https://doi.org/10.25386/genetics.7158911.v1 The current record is supplemented by this collection	collection	January 2018

Shared Genomic Regions Underlie Natural Variation in Diverse Toxin Responses

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