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Dynamics of Dark-Fly Genome Under Environmental Selections

Environmental adaptation is one of the most fundamental features of organisms. Modern genome science has identified some genes associated with adaptive traits of organisms, and has provided insights into environmental adaptation and evolution. However, how genes contribute to adaptive traits and how...

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Autores principales: Izutsu, Minako, Toyoda, Atsushi, Fujiyama, Asao, Agata, Kiyokazu, Fuse, Naoyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4751556/
https://www.ncbi.nlm.nih.gov/pubmed/26637434
http://dx.doi.org/10.1534/g3.115.023549
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author Izutsu, Minako
Toyoda, Atsushi
Fujiyama, Asao
Agata, Kiyokazu
Fuse, Naoyuki
author_facet Izutsu, Minako
Toyoda, Atsushi
Fujiyama, Asao
Agata, Kiyokazu
Fuse, Naoyuki
author_sort Izutsu, Minako
collection PubMed
description Environmental adaptation is one of the most fundamental features of organisms. Modern genome science has identified some genes associated with adaptive traits of organisms, and has provided insights into environmental adaptation and evolution. However, how genes contribute to adaptive traits and how traits are selected under an environment in the course of evolution remain mostly unclear. To approach these issues, we utilize “Dark-fly”, a Drosophila melanogaster line maintained in constant dark conditions for more than 60 years. Our previous analysis identified 220,000 single nucleotide polymorphisms (SNPs) in the Dark-fly genome, but did not clarify which SNPs of Dark-fly are truly adaptive for living in the dark. We found here that Dark-fly dominated over the wild-type fly in a mixed population under dark conditions, and based on this domination we designed an experiment for genome reselection to identify adaptive genes of Dark-fly. For this experiment, large mixed populations of Dark-fly and the wild-type fly were maintained in light conditions or in dark conditions, and the frequencies of Dark-fly SNPs were compared between these populations across the whole genome. We thereby detected condition-dependent selections toward approximately 6% of the genome. In addition, we observed the time-course trajectory of SNP frequency in the mixed populations through generations 0, 22, and 49, which resulted in notable categorization of the selected SNPs into three types with different combinations of positive and negative selections. Our data provided a list of about 100 strong candidate genes associated with the adaptive traits of Dark-fly.
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spelling pubmed-47515562016-02-12 Dynamics of Dark-Fly Genome Under Environmental Selections Izutsu, Minako Toyoda, Atsushi Fujiyama, Asao Agata, Kiyokazu Fuse, Naoyuki G3 (Bethesda) Investigations Environmental adaptation is one of the most fundamental features of organisms. Modern genome science has identified some genes associated with adaptive traits of organisms, and has provided insights into environmental adaptation and evolution. However, how genes contribute to adaptive traits and how traits are selected under an environment in the course of evolution remain mostly unclear. To approach these issues, we utilize “Dark-fly”, a Drosophila melanogaster line maintained in constant dark conditions for more than 60 years. Our previous analysis identified 220,000 single nucleotide polymorphisms (SNPs) in the Dark-fly genome, but did not clarify which SNPs of Dark-fly are truly adaptive for living in the dark. We found here that Dark-fly dominated over the wild-type fly in a mixed population under dark conditions, and based on this domination we designed an experiment for genome reselection to identify adaptive genes of Dark-fly. For this experiment, large mixed populations of Dark-fly and the wild-type fly were maintained in light conditions or in dark conditions, and the frequencies of Dark-fly SNPs were compared between these populations across the whole genome. We thereby detected condition-dependent selections toward approximately 6% of the genome. In addition, we observed the time-course trajectory of SNP frequency in the mixed populations through generations 0, 22, and 49, which resulted in notable categorization of the selected SNPs into three types with different combinations of positive and negative selections. Our data provided a list of about 100 strong candidate genes associated with the adaptive traits of Dark-fly. Genetics Society of America 2015-12-04 /pmc/articles/PMC4751556/ /pubmed/26637434 http://dx.doi.org/10.1534/g3.115.023549 Text en Copyright © 2016 Izutsu et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Investigations
Izutsu, Minako
Toyoda, Atsushi
Fujiyama, Asao
Agata, Kiyokazu
Fuse, Naoyuki
Dynamics of Dark-Fly Genome Under Environmental Selections
title Dynamics of Dark-Fly Genome Under Environmental Selections
title_full Dynamics of Dark-Fly Genome Under Environmental Selections
title_fullStr Dynamics of Dark-Fly Genome Under Environmental Selections
title_full_unstemmed Dynamics of Dark-Fly Genome Under Environmental Selections
title_short Dynamics of Dark-Fly Genome Under Environmental Selections
title_sort dynamics of dark-fly genome under environmental selections
topic Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4751556/
https://www.ncbi.nlm.nih.gov/pubmed/26637434
http://dx.doi.org/10.1534/g3.115.023549
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