Transcriptomic and co-expression network analyses on diverse wheat landraces identifies candidate master regulators of the response to early drought.
Transcriptomic and co-expression network analyses on diverse wheat landraces identifies candidate master regulators of the response to early drought.
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DOI:
10.3389/fpls.2023.1212559
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发表时间:
2023
影响因子:
5.6
通讯作者:
中科院分区:
文献类型:
--
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Over four billion people around the world rely on bread wheat (Triticum aestivum L.) as a major constituent of their diet. The changing climate, however, threatens the food security of these people, with periods of intense drought stress already causing widespread wheat yield losses. Much of the research into the wheat drought response has centred on the response to drought events later in development, during anthesis or grain filling. But as the timing of periods of drought stress become increasingly unpredictable, a more complete understanding of the response to drought during early development is also needed. Here, we utilized the YoGI landrace panel to identify 10,199 genes which were differentially expressed under early drought stress, before weighted gene co-expression network analysis (WGCNA) was used to construct a co-expression network and identify hub genes in modules particularly associated with the early drought response. Of these hub genes, two stood out as novel candidate master regulators of the early drought response – one as an activator (TaDHN4-D1; TraesCS5D02G379200) and the other as a repressor (uncharacterised gene; TraesCS3D02G361500). As well as appearing to coordinate the transcriptional early drought response, we propose that these hub genes may be able to regulate the physiological early drought response due to potential control over the expression of members of gene families well-known for their involvement in the drought response in many plant species, namely dehydrins and aquaporins, as well as other genes seemingly involved in key processes such as, stomatal opening, stomatal closing, stomatal morphogenesis and stress hormone signalling.
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影响因子:
5.6
作者:
Cantalapiedra CP;García-Pereira MJ;Gracia MP;Igartua E;Casas AM;Contreras-Moreira B
通讯作者:
Contreras-Moreira B
影响因子:
4.4
作者:
Aprile A;Mastrangelo AM;De Leonardis AM;Galiba G;Roncaglia E;Ferrari F;De Bellis L;Turchi L;Giuliano G;Cattivelli L
通讯作者:
Cattivelli L
影响因子:
1.9
作者:
Smita S;Katiyar A;Pandey DM;Chinnusamy V;Archak S;Bansal KC
通讯作者:
Bansal KC
影响因子:
3.7
作者:
Boudiar, Ridha;Casas, Ana M.;Igartua, Ernesto
通讯作者:
Igartua, Ernesto
影响因子:
5.3
作者:
Beena R;Kirubakaran S;Nithya N;Manickavelu A;Sah RP;Abida PS;Sreekumar J;Jaslam PM;Rejeth R;Jayalekshmy VG;Roy S;Manju RV;Viji MM;Siddique KHM
通讯作者:
Siddique KHM