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Context-dependent genetic architecture of Drosophila life span

Understanding the genetic basis of variation in life span is a major challenge that is difficult to address in human populations. Evolutionary theory predicts that alleles affecting natural variation in life span will have properties that enable them to persist in populations at intermediate frequen...

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Autores principales: Huang, Wen, Campbell, Terry, Carbone, Mary Anna, Jones, W. Elizabeth, Unselt, Desiree, Anholt, Robert R. H., Mackay, Trudy F. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7077879/
https://www.ncbi.nlm.nih.gov/pubmed/32134916
http://dx.doi.org/10.1371/journal.pbio.3000645
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author Huang, Wen
Campbell, Terry
Carbone, Mary Anna
Jones, W. Elizabeth
Unselt, Desiree
Anholt, Robert R. H.
Mackay, Trudy F. C.
author_facet Huang, Wen
Campbell, Terry
Carbone, Mary Anna
Jones, W. Elizabeth
Unselt, Desiree
Anholt, Robert R. H.
Mackay, Trudy F. C.
author_sort Huang, Wen
collection PubMed
description Understanding the genetic basis of variation in life span is a major challenge that is difficult to address in human populations. Evolutionary theory predicts that alleles affecting natural variation in life span will have properties that enable them to persist in populations at intermediate frequencies, such as late-life–specific deleterious effects, antagonistic pleiotropic effects on early and late-age fitness components, and/or sex- and environment-specific or antagonistic effects. Here, we quantified variation in life span in males and females reared in 3 thermal environments for the sequenced, inbred lines of the Drosophila melanogaster Genetic Reference Panel (DGRP) and an advanced intercross outbred population derived from a subset of DGRP lines. Quantitative genetic analyses of life span and the micro-environmental variance of life span in the DGRP revealed significant genetic variance for both traits within each sex and environment, as well as significant genotype-by-sex interaction (GSI) and genotype-by-environment interaction (GEI). Genome-wide association (GWA) mapping in both populations implicates over 2,000 candidate genes with sex- and environment-specific or antagonistic pleiotropic allelic effects. Over 1,000 of these genes are associated with variation in life span in other D. melanogaster populations. We functionally assessed the effects of 15 candidate genes using RNA interference (RNAi): all affected life span and/or micro-environmental variance of life span in at least one sex and environment and exhibited sex-and environment-specific effects. Our results implicate novel candidate genes affecting life span and suggest that variation for life span may be maintained by variable allelic effects in heterogeneous environments.
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spelling pubmed-70778792020-03-23 Context-dependent genetic architecture of Drosophila life span Huang, Wen Campbell, Terry Carbone, Mary Anna Jones, W. Elizabeth Unselt, Desiree Anholt, Robert R. H. Mackay, Trudy F. C. PLoS Biol Research Article Understanding the genetic basis of variation in life span is a major challenge that is difficult to address in human populations. Evolutionary theory predicts that alleles affecting natural variation in life span will have properties that enable them to persist in populations at intermediate frequencies, such as late-life–specific deleterious effects, antagonistic pleiotropic effects on early and late-age fitness components, and/or sex- and environment-specific or antagonistic effects. Here, we quantified variation in life span in males and females reared in 3 thermal environments for the sequenced, inbred lines of the Drosophila melanogaster Genetic Reference Panel (DGRP) and an advanced intercross outbred population derived from a subset of DGRP lines. Quantitative genetic analyses of life span and the micro-environmental variance of life span in the DGRP revealed significant genetic variance for both traits within each sex and environment, as well as significant genotype-by-sex interaction (GSI) and genotype-by-environment interaction (GEI). Genome-wide association (GWA) mapping in both populations implicates over 2,000 candidate genes with sex- and environment-specific or antagonistic pleiotropic allelic effects. Over 1,000 of these genes are associated with variation in life span in other D. melanogaster populations. We functionally assessed the effects of 15 candidate genes using RNA interference (RNAi): all affected life span and/or micro-environmental variance of life span in at least one sex and environment and exhibited sex-and environment-specific effects. Our results implicate novel candidate genes affecting life span and suggest that variation for life span may be maintained by variable allelic effects in heterogeneous environments. Public Library of Science 2020-03-05 /pmc/articles/PMC7077879/ /pubmed/32134916 http://dx.doi.org/10.1371/journal.pbio.3000645 Text en © 2020 Huang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Huang, Wen
Campbell, Terry
Carbone, Mary Anna
Jones, W. Elizabeth
Unselt, Desiree
Anholt, Robert R. H.
Mackay, Trudy F. C.
Context-dependent genetic architecture of Drosophila life span
title Context-dependent genetic architecture of Drosophila life span
title_full Context-dependent genetic architecture of Drosophila life span
title_fullStr Context-dependent genetic architecture of Drosophila life span
title_full_unstemmed Context-dependent genetic architecture of Drosophila life span
title_short Context-dependent genetic architecture of Drosophila life span
title_sort context-dependent genetic architecture of drosophila life span
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7077879/
https://www.ncbi.nlm.nih.gov/pubmed/32134916
http://dx.doi.org/10.1371/journal.pbio.3000645
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