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Population transcriptomics uncovers the regulation of gene expression variation in adaptation to changing environment

Expression variation plays an important role in plant adaptation, but little is known about the factors impacting the expression variation when population adapts to changing environment. We used RNA-seq data from 80 individuals in 14 Miscanthus lutarioriparius populations, which were transplanted in...

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Autores principales: Xu, Qin, Zhu, Caiyun, Fan, Yangyang, Song, Zhihong, Xing, Shilai, Liu, Wei, Yan, Juan, Sang, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4858677/
https://www.ncbi.nlm.nih.gov/pubmed/27150248
http://dx.doi.org/10.1038/srep25536
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author Xu, Qin
Zhu, Caiyun
Fan, Yangyang
Song, Zhihong
Xing, Shilai
Liu, Wei
Yan, Juan
Sang, Tao
author_facet Xu, Qin
Zhu, Caiyun
Fan, Yangyang
Song, Zhihong
Xing, Shilai
Liu, Wei
Yan, Juan
Sang, Tao
author_sort Xu, Qin
collection PubMed
description Expression variation plays an important role in plant adaptation, but little is known about the factors impacting the expression variation when population adapts to changing environment. We used RNA-seq data from 80 individuals in 14 Miscanthus lutarioriparius populations, which were transplanted into a harsh environment from native habitat, to investigate the expression level, expression diversity and genetic diversity for genes expressed in both environments. The expression level of genes with lower expression level or without SNP tended to be more changeable in new environment, which suggested highly expressed genes experienced stronger purifying selection than those at lower level. Low proportion of genes with population effect confirmed the weak population structure and frequent gene flow in these populations. Meanwhile, the number of genes with environment effect was the most frequent compared with that with population effect. Our results showed that environment and genetic diversity were the main factors determining gene expression variation in population. This study could facilitate understanding the mechanisms of global gene expression variation when plant population adapts to changing environment.
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spelling pubmed-48586772016-05-19 Population transcriptomics uncovers the regulation of gene expression variation in adaptation to changing environment Xu, Qin Zhu, Caiyun Fan, Yangyang Song, Zhihong Xing, Shilai Liu, Wei Yan, Juan Sang, Tao Sci Rep Article Expression variation plays an important role in plant adaptation, but little is known about the factors impacting the expression variation when population adapts to changing environment. We used RNA-seq data from 80 individuals in 14 Miscanthus lutarioriparius populations, which were transplanted into a harsh environment from native habitat, to investigate the expression level, expression diversity and genetic diversity for genes expressed in both environments. The expression level of genes with lower expression level or without SNP tended to be more changeable in new environment, which suggested highly expressed genes experienced stronger purifying selection than those at lower level. Low proportion of genes with population effect confirmed the weak population structure and frequent gene flow in these populations. Meanwhile, the number of genes with environment effect was the most frequent compared with that with population effect. Our results showed that environment and genetic diversity were the main factors determining gene expression variation in population. This study could facilitate understanding the mechanisms of global gene expression variation when plant population adapts to changing environment. Nature Publishing Group 2016-05-06 /pmc/articles/PMC4858677/ /pubmed/27150248 http://dx.doi.org/10.1038/srep25536 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Xu, Qin
Zhu, Caiyun
Fan, Yangyang
Song, Zhihong
Xing, Shilai
Liu, Wei
Yan, Juan
Sang, Tao
Population transcriptomics uncovers the regulation of gene expression variation in adaptation to changing environment
title Population transcriptomics uncovers the regulation of gene expression variation in adaptation to changing environment
title_full Population transcriptomics uncovers the regulation of gene expression variation in adaptation to changing environment
title_fullStr Population transcriptomics uncovers the regulation of gene expression variation in adaptation to changing environment
title_full_unstemmed Population transcriptomics uncovers the regulation of gene expression variation in adaptation to changing environment
title_short Population transcriptomics uncovers the regulation of gene expression variation in adaptation to changing environment
title_sort population transcriptomics uncovers the regulation of gene expression variation in adaptation to changing environment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4858677/
https://www.ncbi.nlm.nih.gov/pubmed/27150248
http://dx.doi.org/10.1038/srep25536
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