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Genetic mapping of the early responses to salt stress in Arabidopsis thaliana
Author(s) -
Awlia Mariam,
Alshareef Nouf,
Saber Noha,
Korte Arthur,
Oakey Helena,
Panzarová Klára,
Trtílek Martin,
Negrão Sónia,
Tester Mark,
Julkowska Magdalena M.
Publication year - 2021
Publication title -
the plant journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.058
H-Index - 269
eISSN - 1365-313X
pISSN - 0960-7412
DOI - 10.1111/tpj.15310
Subject(s) - biology , genome wide association study , context (archaeology) , arabidopsis , genetics , locus (genetics) , multivariate statistics , plant genetics , computational biology , gene , genome , single nucleotide polymorphism , genotype , mutant , machine learning , computer science , paleontology
Summary Salt stress decreases plant growth prior to significant ion accumulation in the shoot. However, the processes underlying this rapid reduction in growth are still unknown. To understand the changes in salt stress responses through time and at multiple physiological levels, examining different plant processes within a single set‐up is required. Recent advances in phenotyping has allowed the image‐based estimation of plant growth, morphology, colour and photosynthetic activity. In this study, we examined the salt stress‐induced responses of 191 Arabidopsis accessions from 1 h to 7 days after treatment using high‐throughput phenotyping. Multivariate analyses and machine learning algorithms identified that quantum yield measured in the light‐adapted state ( F v′ / F m′ ) greatly affected growth maintenance in the early phase of salt stress, whereas the maximum quantum yield (QY max ) was crucial at a later stage. In addition, our genome‐wide association study (GWAS) identified 770 loci that were specific to salt stress, in which two loci associated with QY max and F v′ / F m′ were selected for validation using T‐DNA insertion lines. We characterized an unknown protein kinase found in the QY max locus that reduced photosynthetic efficiency and growth maintenance under salt stress. Understanding the molecular context of the candidate genes identified will provide valuable insights into the early plant responses to salt stress. Furthermore, our work incorporates high‐throughput phenotyping, multivariate analyses and GWAS, uncovering details of temporal stress responses and identifying associations across different traits and time points, which are likely to constitute the genetic components of salinity tolerance.

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