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Identifying Genetic Signatures of Natural Selection Using Pooled Population Sequencing in Picea abies

The joint inference of selection and past demography remain a costly and demanding task. We used next generation sequencing of two pools of 48 Norway spruce mother trees, one corresponding to the Fennoscandian domain, and the other to the Alpine domain, to assess nucleotide polymorphism at 88 nuclea...

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Autores principales: Chen, Jun, Källman, Thomas, Ma, Xiao-Fei, Zaina, Giusi, Morgante, Michele, Lascoux, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4938651/
https://www.ncbi.nlm.nih.gov/pubmed/27172202
http://dx.doi.org/10.1534/g3.116.028753
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author Chen, Jun
Källman, Thomas
Ma, Xiao-Fei
Zaina, Giusi
Morgante, Michele
Lascoux, Martin
author_facet Chen, Jun
Källman, Thomas
Ma, Xiao-Fei
Zaina, Giusi
Morgante, Michele
Lascoux, Martin
author_sort Chen, Jun
collection PubMed
description The joint inference of selection and past demography remain a costly and demanding task. We used next generation sequencing of two pools of 48 Norway spruce mother trees, one corresponding to the Fennoscandian domain, and the other to the Alpine domain, to assess nucleotide polymorphism at 88 nuclear genes. These genes are candidate genes for phenological traits, and most belong to the photoperiod pathway. Estimates of population genetic summary statistics from the pooled data are similar to previous estimates, suggesting that pooled sequencing is reliable. The nonsynonymous SNPs tended to have both lower frequency differences and lower F(ST) values between the two domains than silent ones. These results suggest the presence of purifying selection. The divergence between the two domains based on synonymous changes was around 5 million yr, a time similar to a recent phylogenetic estimate of 6 million yr, but much larger than earlier estimates based on isozymes. Two approaches, one of them novel and that considers both F(ST) and difference in allele frequencies between the two domains, were used to identify SNPs potentially under diversifying selection. SNPs from around 20 genes were detected, including genes previously identified as main target for selection, such as PaPRR3 and PaGI.
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spelling pubmed-49386512016-07-19 Identifying Genetic Signatures of Natural Selection Using Pooled Population Sequencing in Picea abies Chen, Jun Källman, Thomas Ma, Xiao-Fei Zaina, Giusi Morgante, Michele Lascoux, Martin G3 (Bethesda) Investigations The joint inference of selection and past demography remain a costly and demanding task. We used next generation sequencing of two pools of 48 Norway spruce mother trees, one corresponding to the Fennoscandian domain, and the other to the Alpine domain, to assess nucleotide polymorphism at 88 nuclear genes. These genes are candidate genes for phenological traits, and most belong to the photoperiod pathway. Estimates of population genetic summary statistics from the pooled data are similar to previous estimates, suggesting that pooled sequencing is reliable. The nonsynonymous SNPs tended to have both lower frequency differences and lower F(ST) values between the two domains than silent ones. These results suggest the presence of purifying selection. The divergence between the two domains based on synonymous changes was around 5 million yr, a time similar to a recent phylogenetic estimate of 6 million yr, but much larger than earlier estimates based on isozymes. Two approaches, one of them novel and that considers both F(ST) and difference in allele frequencies between the two domains, were used to identify SNPs potentially under diversifying selection. SNPs from around 20 genes were detected, including genes previously identified as main target for selection, such as PaPRR3 and PaGI. Genetics Society of America 2016-05-02 /pmc/articles/PMC4938651/ /pubmed/27172202 http://dx.doi.org/10.1534/g3.116.028753 Text en Copyright © 2016 Chen 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
Chen, Jun
Källman, Thomas
Ma, Xiao-Fei
Zaina, Giusi
Morgante, Michele
Lascoux, Martin
Identifying Genetic Signatures of Natural Selection Using Pooled Population Sequencing in Picea abies
title Identifying Genetic Signatures of Natural Selection Using Pooled Population Sequencing in Picea abies
title_full Identifying Genetic Signatures of Natural Selection Using Pooled Population Sequencing in Picea abies
title_fullStr Identifying Genetic Signatures of Natural Selection Using Pooled Population Sequencing in Picea abies
title_full_unstemmed Identifying Genetic Signatures of Natural Selection Using Pooled Population Sequencing in Picea abies
title_short Identifying Genetic Signatures of Natural Selection Using Pooled Population Sequencing in Picea abies
title_sort identifying genetic signatures of natural selection using pooled population sequencing in picea abies
topic Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4938651/
https://www.ncbi.nlm.nih.gov/pubmed/27172202
http://dx.doi.org/10.1534/g3.116.028753
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