Expression Profiling of Salt-Responsive Genes and Transcription Factors in Leaf Transcriptome of Arabidopsis thaliana

Author:

Alotaibi Nahaa M.1ORCID,Abulfaraj Aala A.2ORCID

Affiliation:

1. Department of Biology, College of Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11617, Saudi Arabia

2. Biological Sciences Department, College of Science & Arts, King Abdulaziz University, Rabigh 21911, Saudi Arabia

Abstract

This investigation discerns the expression profiles of genes within the leaf transcriptome of Arabidopsis thaliana subjected to salt stress (200 mM NaCl). Notably, the pivotal role of indole acetic acid emerged as a keystone orchestrating a multifaceted cascade of regulatory events aimed at enhancing the plant’s adaptability under salt-induced stress. Cluster analysis elucidated upregulation of gene families with pivotal roles in supporting the availability of carbon dioxide, ameliorating photosynthetic processes and mitigating the deleterious effects of reactive oxygen species under salt stress. Analysis also unveiled the participation of several transcription factor families in the orchestration of a multitude of genes under salt stress. The investigation singled out a solitary TF, denominated as BH100, which was validated through RNA-Seq and qPCR, utilizing a VIGS line featuring the knockdown of the BH100 gene. This transcription factor was implicated in the upregulation of the FRO gene, thereby establishing a link between the synchronized expression of these two genes and their role in promoting iron acquisition under salt stress. In summation, our study unveiled the regulatory frameworks and salt-responsive genes underpinning the response of Arabidopsis to salt stress. We present compelling arguments for the potential applicability of this information in the realm of molecular breeding programs.

Funder

Princess Nourah bint Abdulrahman University Researchers Supporting

Publisher

MDPI AG

Subject

Nature and Landscape Conservation,Agricultural and Biological Sciences (miscellaneous),Ecological Modeling,Ecology

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