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Mapping regulatory variants controlling gene expression in drought response and tolerance in maize

BACKGROUND: Gene expression is a key determinant of cellular response. Natural variation in gene expression bridges genetic variation to phenotypic alteration. Identification of the regulatory variants controlling the gene expression in response to drought, a major environmental threat of crop produ...

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Autores principales: Liu, Shengxue, Li, Cuiping, Wang, Hongwei, Wang, Shuhui, Yang, Shiping, Liu, Xiaohu, Yan, Jianbing, Li, Bailin, Beatty, Mary, Zastrow-Hayes, Gina, Song, Shuhui, Qin, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7336464/
https://www.ncbi.nlm.nih.gov/pubmed/32631406
http://dx.doi.org/10.1186/s13059-020-02069-1
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author Liu, Shengxue
Li, Cuiping
Wang, Hongwei
Wang, Shuhui
Yang, Shiping
Liu, Xiaohu
Yan, Jianbing
Li, Bailin
Beatty, Mary
Zastrow-Hayes, Gina
Song, Shuhui
Qin, Feng
author_facet Liu, Shengxue
Li, Cuiping
Wang, Hongwei
Wang, Shuhui
Yang, Shiping
Liu, Xiaohu
Yan, Jianbing
Li, Bailin
Beatty, Mary
Zastrow-Hayes, Gina
Song, Shuhui
Qin, Feng
author_sort Liu, Shengxue
collection PubMed
description BACKGROUND: Gene expression is a key determinant of cellular response. Natural variation in gene expression bridges genetic variation to phenotypic alteration. Identification of the regulatory variants controlling the gene expression in response to drought, a major environmental threat of crop production worldwide, is of great value for drought-tolerant gene identification. RESULTS: A total of 627 RNA-seq analyses are performed for 224 maize accessions which represent a wide genetic diversity under three water regimes; 73,573 eQTLs are detected for about 30,000 expressing genes with high-density genome-wide single nucleotide polymorphisms, reflecting a comprehensive and dynamic genetic architecture of gene expression in response to drought. The regulatory variants controlling the gene expression constitutively or drought-dynamically are unraveled. Focusing on dynamic regulatory variants resolved to genes encoding transcription factors, a drought-responsive network reflecting a hierarchy of transcription factors and their target genes is built. Moreover, 97 genes are prioritized to associate with drought tolerance due to their expression variations through the Mendelian randomization analysis. One of the candidate genes, Abscisic acid 8′-hydroxylase, is verified to play a negative role in plant drought tolerance. CONCLUSIONS: This study unravels the effects of genetic variants on gene expression dynamics in drought response which allows us to better understand the role of distal and proximal genetic effects on gene expression and phenotypic plasticity. The prioritized drought-associated genes may serve as direct targets for functional investigation or allelic mining.
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spelling pubmed-73364642020-07-08 Mapping regulatory variants controlling gene expression in drought response and tolerance in maize Liu, Shengxue Li, Cuiping Wang, Hongwei Wang, Shuhui Yang, Shiping Liu, Xiaohu Yan, Jianbing Li, Bailin Beatty, Mary Zastrow-Hayes, Gina Song, Shuhui Qin, Feng Genome Biol Research BACKGROUND: Gene expression is a key determinant of cellular response. Natural variation in gene expression bridges genetic variation to phenotypic alteration. Identification of the regulatory variants controlling the gene expression in response to drought, a major environmental threat of crop production worldwide, is of great value for drought-tolerant gene identification. RESULTS: A total of 627 RNA-seq analyses are performed for 224 maize accessions which represent a wide genetic diversity under three water regimes; 73,573 eQTLs are detected for about 30,000 expressing genes with high-density genome-wide single nucleotide polymorphisms, reflecting a comprehensive and dynamic genetic architecture of gene expression in response to drought. The regulatory variants controlling the gene expression constitutively or drought-dynamically are unraveled. Focusing on dynamic regulatory variants resolved to genes encoding transcription factors, a drought-responsive network reflecting a hierarchy of transcription factors and their target genes is built. Moreover, 97 genes are prioritized to associate with drought tolerance due to their expression variations through the Mendelian randomization analysis. One of the candidate genes, Abscisic acid 8′-hydroxylase, is verified to play a negative role in plant drought tolerance. CONCLUSIONS: This study unravels the effects of genetic variants on gene expression dynamics in drought response which allows us to better understand the role of distal and proximal genetic effects on gene expression and phenotypic plasticity. The prioritized drought-associated genes may serve as direct targets for functional investigation or allelic mining. BioMed Central 2020-07-06 /pmc/articles/PMC7336464/ /pubmed/32631406 http://dx.doi.org/10.1186/s13059-020-02069-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Liu, Shengxue
Li, Cuiping
Wang, Hongwei
Wang, Shuhui
Yang, Shiping
Liu, Xiaohu
Yan, Jianbing
Li, Bailin
Beatty, Mary
Zastrow-Hayes, Gina
Song, Shuhui
Qin, Feng
Mapping regulatory variants controlling gene expression in drought response and tolerance in maize
title Mapping regulatory variants controlling gene expression in drought response and tolerance in maize
title_full Mapping regulatory variants controlling gene expression in drought response and tolerance in maize
title_fullStr Mapping regulatory variants controlling gene expression in drought response and tolerance in maize
title_full_unstemmed Mapping regulatory variants controlling gene expression in drought response and tolerance in maize
title_short Mapping regulatory variants controlling gene expression in drought response and tolerance in maize
title_sort mapping regulatory variants controlling gene expression in drought response and tolerance in maize
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7336464/
https://www.ncbi.nlm.nih.gov/pubmed/32631406
http://dx.doi.org/10.1186/s13059-020-02069-1
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