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Gene Coexpression Analysis Identifies Genes Associated with Chlorophyll Content and Relative Water Content in Pearl Millet

  1. 1.
    0571055 - ÚVGZ 2024 RIV CH eng J - Článek v odborném periodiku
    Shinde, H. - Dudhate, A. - Sathe, A. - Paserkar, N. - Wagh, Sopan - Kadam, U. S.
    Gene Coexpression Analysis Identifies Genes Associated with Chlorophyll Content and Relative Water Content in Pearl Millet.
    Plants. Roč. 12, č. 6 (2023), č. článku 1412. E-ISSN 2223-7747
    Výzkumná infrastruktura: CzeCOS IV - 90248
    Institucionální podpora: RVO:86652079
    Klíčová slova: gene expression * wgcna * gene clustering * module * pathways * pearl millet * relative water content
    Obor OECD: Plant sciences, botany
    Impakt faktor: 4.5, rok: 2022
    Způsob publikování: Open access
    https://www.mdpi.com/2223-7747/12/6/1412

    Pearl millet is a significant crop that is tolerant to abiotic stresses and is a staple food of arid regions. However, its underlying mechanisms of stress tolerance are not fully understood. Plant survival is regulated by the ability to perceive a stress signal and induce appropriate physiological changes. Here, we screened for genes regulating physiological changes such as chlorophyll content (CC) and relative water content (RWC) in response to abiotic stress by using ,,weighted gene coexpression network analysi,, (WGCNA) and clustering changes in physiological traits, i.e., CC and RWC associated with gene expression. Genes' correlations with traits were defined in the form of modules, and different color names were used to denote a particular module. Modules are groups of genes with similar patterns of expression, which also tend to be functionally related and co-regulated. In WGCNA, the dark green module (7082 genes) showed a significant positive correlation with CC, and the black (1393 genes) module was negatively correlated with CC and RWC. Analysis of the module positively correlated with CC highlighted ribosome synthesis and plant hormone signaling as the most significant pathways. Potassium transporter 8 and monothiol glutaredoxin were reported as the topmost hub genes in the dark green module. In Clust analysis, 2987 genes were found to display a correlation with increasing CC and RWC. Furthermore, the pathway analysis of these clusters identified the ribosome and thermogenesis as positive regulators of RWC and CC, respectively. Our study provides novel insights into the molecular mechanisms regulating CC and RWC in pearl millet.
    Trvalý link: https://hdl.handle.net/11104/0342365

     
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