Positive roles of the Ca <sup>2+</sup> sensors <scp>GbCML45</scp> and <scp>GbCML50</scp> in improving cotton Verticillium wilt resistance is a research paper published in Molecular Plant Pathology (2024). On theSindex it has a DataRank of 0.425. It has been cited 12 times, with 9 citing works in its 1-hop citation network.
Abstract As a universal second messenger, cytosolic calcium (Ca 2+ ) functions in multifaceted intracellular processes, including growth, development and responses to biotic/abiotic stresses in plant. The plant‐specific Ca 2+ sensors, calmodulin and calmodulin‐like (CML) proteins, function as members of the second‐messenger system to transfer Ca 2+ signal into downstream responses. However, the functions of CMLs in the responses of cotton ( Gossypium spp.) after Verticillium dahliae infection, which causes the serious vascular disease Verticillium wilt, remain elusive. Here, we discovered that the expression level of GbCML45 was promoted after V. dahliae infection in roots of cotton, suggesting its potential role in Verticillium wilt resistance. We found that knockdown of GbCML45 in cotton plants decreased resistance while overexpression of GbCML45 in Arabidopsis thaliana plants enhanced resistance to V. dahliae infection. Furthermore, there was physiological interaction between GbCML45 and its close homologue GbCML50 by using yeast two‐hybrid and bimolecular fluorescence assays, and both proteins enhanced cotton resistance to V. dahliae infection in a Ca 2+ ‐dependent way in a knockdown study. Detailed investigations indicated that several defence‐related pathways, including salicylic acid, ethylene, reactive oxygen species and nitric oxide signalling pathways, as well as accumulations of lignin and callose, are responsible for GbCML45 ‐ and GbCML50 ‐modulated V. dahliae resistance in cotton. These results collectively indicated that GbCML45 and GbCML50 act as positive regulators to improve cotton Verticillium wilt resistance, providing potential targets for exploitation of improved Verticillium wilt‐tolerant cotton cultivars by genetic engineering and molecular breeding.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.385
From this paper's citation signal
Citation Network Contribution
0.0400
From 3 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 91% comes from its base citations and 9% from the citation network (3 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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