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Transcriptomic divergence between upland and lowland ecotypes contributes to rice adaptation to a drought‐prone agroecosystem

INTRODUCTION: Transcriptomic divergence drives plant ecological adaptation. Upland rice is differentiated in drought tolerance from lowland rice during its adaptation to the drought‐prone environment. They provide a good system to learn the evolution of drought tolerance in rice. METHODS AND RESULTS...

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Autores principales: Luo, Zhi, Xiong, Jie, Xia, Hui, Ma, Xiaosong, Gao, Min, Wang, Lei, Liu, Guolan, Yu, Xinqiao, Luo, Lijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513727/
https://www.ncbi.nlm.nih.gov/pubmed/33005236
http://dx.doi.org/10.1111/eva.13054
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author Luo, Zhi
Xiong, Jie
Xia, Hui
Ma, Xiaosong
Gao, Min
Wang, Lei
Liu, Guolan
Yu, Xinqiao
Luo, Lijun
author_facet Luo, Zhi
Xiong, Jie
Xia, Hui
Ma, Xiaosong
Gao, Min
Wang, Lei
Liu, Guolan
Yu, Xinqiao
Luo, Lijun
author_sort Luo, Zhi
collection PubMed
description INTRODUCTION: Transcriptomic divergence drives plant ecological adaptation. Upland rice is differentiated in drought tolerance from lowland rice during its adaptation to the drought‐prone environment. They provide a good system to learn the evolution of drought tolerance in rice. METHODS AND RESULTS: We estimate morphological differences between the two rice ecotypes under well‐watered and drought conditions, as well as their genetic and transcriptomic divergences by the high‐throughput sequencing. Upland rice possesses higher expression diversity than lowland rice does. Thousands of genes exhibit expression divergences between the two rice ecotypes, which contributes to their morphological differences in drought tolerance. These transcriptomic divergences contribute to drought adaptation of upland rice during its domestication. Mutations in transcriptional regulatory regions, which cause presence and absence of cis‐elements, are the cause of expression divergence. About 15.3% transcriptionally selected genes also receive sequence‐based selection in upland or lowland ecotype. Some highly differentiated genes promote the transcriptomic divergence between rice ecotypes via gene co‐expression network. In addition, we also detected transcriptomic trade‐offs between drought tolerance and productivity. DISCUSSION: Many key genes, which promote transcriptomic adaptation to drought in upland rice, have great prospective in breeding water‐saving and drought‐resistant rice. Meanwhile, appropriate strategies are required in breeding to overcome the potential transcriptomic trade‐off.
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spelling pubmed-75137272020-09-30 Transcriptomic divergence between upland and lowland ecotypes contributes to rice adaptation to a drought‐prone agroecosystem Luo, Zhi Xiong, Jie Xia, Hui Ma, Xiaosong Gao, Min Wang, Lei Liu, Guolan Yu, Xinqiao Luo, Lijun Evol Appl Original Articles INTRODUCTION: Transcriptomic divergence drives plant ecological adaptation. Upland rice is differentiated in drought tolerance from lowland rice during its adaptation to the drought‐prone environment. They provide a good system to learn the evolution of drought tolerance in rice. METHODS AND RESULTS: We estimate morphological differences between the two rice ecotypes under well‐watered and drought conditions, as well as their genetic and transcriptomic divergences by the high‐throughput sequencing. Upland rice possesses higher expression diversity than lowland rice does. Thousands of genes exhibit expression divergences between the two rice ecotypes, which contributes to their morphological differences in drought tolerance. These transcriptomic divergences contribute to drought adaptation of upland rice during its domestication. Mutations in transcriptional regulatory regions, which cause presence and absence of cis‐elements, are the cause of expression divergence. About 15.3% transcriptionally selected genes also receive sequence‐based selection in upland or lowland ecotype. Some highly differentiated genes promote the transcriptomic divergence between rice ecotypes via gene co‐expression network. In addition, we also detected transcriptomic trade‐offs between drought tolerance and productivity. DISCUSSION: Many key genes, which promote transcriptomic adaptation to drought in upland rice, have great prospective in breeding water‐saving and drought‐resistant rice. Meanwhile, appropriate strategies are required in breeding to overcome the potential transcriptomic trade‐off. John Wiley and Sons Inc. 2020-07-16 /pmc/articles/PMC7513727/ /pubmed/33005236 http://dx.doi.org/10.1111/eva.13054 Text en © 2020 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Luo, Zhi
Xiong, Jie
Xia, Hui
Ma, Xiaosong
Gao, Min
Wang, Lei
Liu, Guolan
Yu, Xinqiao
Luo, Lijun
Transcriptomic divergence between upland and lowland ecotypes contributes to rice adaptation to a drought‐prone agroecosystem
title Transcriptomic divergence between upland and lowland ecotypes contributes to rice adaptation to a drought‐prone agroecosystem
title_full Transcriptomic divergence between upland and lowland ecotypes contributes to rice adaptation to a drought‐prone agroecosystem
title_fullStr Transcriptomic divergence between upland and lowland ecotypes contributes to rice adaptation to a drought‐prone agroecosystem
title_full_unstemmed Transcriptomic divergence between upland and lowland ecotypes contributes to rice adaptation to a drought‐prone agroecosystem
title_short Transcriptomic divergence between upland and lowland ecotypes contributes to rice adaptation to a drought‐prone agroecosystem
title_sort transcriptomic divergence between upland and lowland ecotypes contributes to rice adaptation to a drought‐prone agroecosystem
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513727/
https://www.ncbi.nlm.nih.gov/pubmed/33005236
http://dx.doi.org/10.1111/eva.13054
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