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Journal article

Systems genomics of salinity stress response in rice

Abstract:
Populations can adapt to stressful environments through changes in gene expression. However, the fitness effect of gene expression in mediating stress response and adaptation remains largely unexplored. Here, we use an integrative field dataset obtained from 780 plants of Oryza sativa ssp. indica (rice) grown in a field experiment under normal or moderate salt stress conditions to examine selection and evolution of gene expression variation under salinity stress conditions. We find that salinity stress induces increased selective pressure on gene expression. Further, we show that trans-eQTLs rather than cis-eQTLs are primarily associated with rice’s gene expression under salinity stress, potentially via a few master-regulators. Importantly, and contrary to the expectations, we find that cis-trans reinforcement is more common than cis-trans compensation which may be reflective of rice diversification subsequent to domestication. We further identify genetic fixation as the likely mechanism underlying this compensation/reinforcement. Additionally, we show that cis- and trans-eQTLs are under balancing and purifying selection, respectively, giving us insights into the evolutionary dynamics of gene expression variation. By examining genomic, transcriptomic, and phenotypic variation across a rice population, we gain insights into the molecular and genetic landscape underlying adaptive salinity stress responses, which is relevant for other crops and other stresses.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.7554/elife.99352

Authors

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Role:
Author
ORCID:
0000-0002-4419-2345
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Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Sub department:
Biology
Role:
Author


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Funder identifier:
https://ror.org/021nxhr62
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Funder identifier:
https://ror.org/0517h6h17
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Funder identifier:
https://ror.org/03nawhv43
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Funder identifier:
https://ror.org/01yve5h66


Publisher:
eLife Sciences Publications
Journal:
eLife More from this journal
Volume:
13
Article number:
RP99352
Publication date:
2025-02-20
DOI:
EISSN:
2050-084X
ISSN:
2050-084X


Language:
English
Keywords:
Pubs id:
2092109
Local pid:
pubs:2092109
Source identifiers:
2703943
Deposit date:
2025-02-21
ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.

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