Systems genomics of salinity stress response in rice

Author:

Gupta Sonal1,Groen Simon C123ORCID,Zaidem Maricris L14,Sajise Andres Godwin C5,Calic Irina67,Natividad Mignon A5,McNally Kenneth L5,Vergara Georgina V58,Satija Rahul19,Franks Steven J6,Singh Rakesh K510,Joly-Lopez Zoé111ORCID,Purugganan Michael D1ORCID

Affiliation:

1. Center for Genomics and Systems Biology, New York University

2. Department of Nematology and Department of Botany & Plant Sciences, University of California

3. Center for Plant Cell Biology, Institute for Integrative Genome Biology, University of California

4. Department of Biology, University of Oxford

5. International Rice Research Institute

6. Department of Biological Sciences, Fordham University

7. Inari Agriculture Nv

8. Institute of Crop Science, University of the Philippines

9. New York Genome Center

10. International Center for Biosaline Agriculture

11. Département de Chimie, Université du Quebéc à Montréal

Abstract

Populations can adapt to stressful environments through changes in gene expression. However, the role of gene regulation 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 different selection regimes, 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.

Publisher

eLife Sciences Publications, Ltd

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