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Genetic Variation Related to High Elevation Adaptation Revealed by Common Garden Experiments in Pinus yunnanensis

Local adaptation, adaptation to specialized niches and environmental clines have been extensively reported for forest trees. Investigation of the adaptive genetic variation is crucial for forest resource management and breeding, especially in the context of global climate change. Here, we utilized a...

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Autores principales: Sun, Yan-Qiang, Zhao, Wei, Xu, Chao-Qun, Xu, Yulan, El-Kassaby, Yousry A., De La Torre, Amanda R., Mao, Jian-Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7027398/
https://www.ncbi.nlm.nih.gov/pubmed/32117429
http://dx.doi.org/10.3389/fgene.2019.01405
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author Sun, Yan-Qiang
Zhao, Wei
Xu, Chao-Qun
Xu, Yulan
El-Kassaby, Yousry A.
De La Torre, Amanda R.
Mao, Jian-Feng
author_facet Sun, Yan-Qiang
Zhao, Wei
Xu, Chao-Qun
Xu, Yulan
El-Kassaby, Yousry A.
De La Torre, Amanda R.
Mao, Jian-Feng
author_sort Sun, Yan-Qiang
collection PubMed
description Local adaptation, adaptation to specialized niches and environmental clines have been extensively reported for forest trees. Investigation of the adaptive genetic variation is crucial for forest resource management and breeding, especially in the context of global climate change. Here, we utilized a Pinus yunnanensis common garden experiments established at high and low elevation sites to assess the differences in growth and survival among populations and between the two common garden sites. The studied traits showed significant variation between the two test sites and among populations, suggesting adaptive divergence. To detect genetic variation related to environment, we captured 103,608 high quality SNPs based on RNA sequencing, and used them to assess the genetic diversity and population structure. We identified 321 outlier SNPs from 131 genes showing significant divergence in allelic frequency between survival populations of two sites. Functional categories associated with adaptation to high elevation were found to be related to flavonoid biosynthesis, response to UV, DNA repair, response to reactive oxygen species, and membrane lipid metabolic process. Further investigation of the outlier genes showed overrepresentation of the flavonoid biosynthesis pathway, suggesting that this pathway may play a key role in P. yunnanensis adaptation to high elevation environments. The outlier genes identified, and their variants, provide a basic reference for advanced investigations.
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spelling pubmed-70273982020-02-28 Genetic Variation Related to High Elevation Adaptation Revealed by Common Garden Experiments in Pinus yunnanensis Sun, Yan-Qiang Zhao, Wei Xu, Chao-Qun Xu, Yulan El-Kassaby, Yousry A. De La Torre, Amanda R. Mao, Jian-Feng Front Genet Genetics Local adaptation, adaptation to specialized niches and environmental clines have been extensively reported for forest trees. Investigation of the adaptive genetic variation is crucial for forest resource management and breeding, especially in the context of global climate change. Here, we utilized a Pinus yunnanensis common garden experiments established at high and low elevation sites to assess the differences in growth and survival among populations and between the two common garden sites. The studied traits showed significant variation between the two test sites and among populations, suggesting adaptive divergence. To detect genetic variation related to environment, we captured 103,608 high quality SNPs based on RNA sequencing, and used them to assess the genetic diversity and population structure. We identified 321 outlier SNPs from 131 genes showing significant divergence in allelic frequency between survival populations of two sites. Functional categories associated with adaptation to high elevation were found to be related to flavonoid biosynthesis, response to UV, DNA repair, response to reactive oxygen species, and membrane lipid metabolic process. Further investigation of the outlier genes showed overrepresentation of the flavonoid biosynthesis pathway, suggesting that this pathway may play a key role in P. yunnanensis adaptation to high elevation environments. The outlier genes identified, and their variants, provide a basic reference for advanced investigations. Frontiers Media S.A. 2020-02-11 /pmc/articles/PMC7027398/ /pubmed/32117429 http://dx.doi.org/10.3389/fgene.2019.01405 Text en Copyright © 2020 Sun, Zhao, Xu, Xu, El-Kassaby, De La Torre and Mao http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Sun, Yan-Qiang
Zhao, Wei
Xu, Chao-Qun
Xu, Yulan
El-Kassaby, Yousry A.
De La Torre, Amanda R.
Mao, Jian-Feng
Genetic Variation Related to High Elevation Adaptation Revealed by Common Garden Experiments in Pinus yunnanensis
title Genetic Variation Related to High Elevation Adaptation Revealed by Common Garden Experiments in Pinus yunnanensis
title_full Genetic Variation Related to High Elevation Adaptation Revealed by Common Garden Experiments in Pinus yunnanensis
title_fullStr Genetic Variation Related to High Elevation Adaptation Revealed by Common Garden Experiments in Pinus yunnanensis
title_full_unstemmed Genetic Variation Related to High Elevation Adaptation Revealed by Common Garden Experiments in Pinus yunnanensis
title_short Genetic Variation Related to High Elevation Adaptation Revealed by Common Garden Experiments in Pinus yunnanensis
title_sort genetic variation related to high elevation adaptation revealed by common garden experiments in pinus yunnanensis
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7027398/
https://www.ncbi.nlm.nih.gov/pubmed/32117429
http://dx.doi.org/10.3389/fgene.2019.01405
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