2021
DOI: 10.1002/advs.202002723
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A Single‐Nucleotide Mutation in a GLUTAMATE RECEPTOR‐LIKE Gene Confers Resistance to Fusarium Wilt in Gossypium hirsutum

Abstract: Fusarium wilt (FW) disease of cotton, caused by the fungus Fusarium oxysporum f. sp. vasinfectum (Fov), causes severe losses in cotton production worldwide. Though significant advancements have been made in development of FW‐resistant Upland cotton (Gossypium hirsutum) in resistance screening programs, the precise resistance genes and the corresponding molecular mechanisms for resistance to Fov remain unclear. Herein it is reported that Fov7, a gene unlike canonical plant disease‐resistance (R) genes, putative… Show more

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Cited by 51 publications
(35 citation statements)
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“…Furthermore, the approach of candidate gene testing in the G. hirsutum for FOV7 has demonstrated that important genes (i.e. G. hirsutum GLUTAMATE RECEPTOR LIKE 4.8 (GLR4.8)) that underlie resistance can be identified (Liu et al 2021). Consequently, model approaches used in one pathosystem have applicability to solve newly emerging ones or ones where the candidate genes are already identified (Smigocki et al 2013;Smigocki 2016, 2018).…”
Section: Future Applications Of the Prap System Of Plant Transformation Vectorsmentioning
confidence: 99%
“…Furthermore, the approach of candidate gene testing in the G. hirsutum for FOV7 has demonstrated that important genes (i.e. G. hirsutum GLUTAMATE RECEPTOR LIKE 4.8 (GLR4.8)) that underlie resistance can be identified (Liu et al 2021). Consequently, model approaches used in one pathosystem have applicability to solve newly emerging ones or ones where the candidate genes are already identified (Smigocki et al 2013;Smigocki 2016, 2018).…”
Section: Future Applications Of the Prap System Of Plant Transformation Vectorsmentioning
confidence: 99%
“… Wang et al (2009) was the first to use molecular mapping technology to identify four QTLs, including one major gene (FwR) on D03, for FOV7 resistance in early segregating populations (F 2:3 ) of G. hirsutum based on SSR markers. Most recently, Liu et al (2021) reported that Gh_D03G0209 (named GhGLR4.8 ) on D03 encoding a GLUTAMATE RECEPTOR-LIKE (GLR) protein was the candidate gene for the resistance gene Fov7 within the 1.97–2.37 Mb region based on a GWAS of 290 Chinese G. hirsutum accessions and CRISPR/Cas9-mediated knockout analysis. The region containing FOV7 is within the region (0.99–3.01 Mb) of the common QTL qFOV7-D03-1 identified in this study.…”
Section: Discussionmentioning
confidence: 99%
“…In a subsequent SSR-based marker analysis, a dominant resistance gene ( F W R ), presumably one of the two major resistance genes ( F W 1 and F W 2 ), was mapped to chromosome D03 (c17), using two F 2:3 populations ( Wang et al, 2009 ). Most recently, through a genome-wide association study (GWAS) on 290 Chinese Upland accessions followed with a CRISPR/Cas9-mediated knockout, Gh_D03G0209 (named GhGLR4.8 ) on D03 encoding a GLUTAMATE RECEPTOR-LIKE (GLR) protein was identified as the candidate gene for the resistance gene Fov7 ( Liu et al, 2021 ). Fov7 is presumably one of the two major resistance genes identified and named earlier by Feng et al (1998) .…”
Section: Introductionmentioning
confidence: 99%
“…In addition, rapid advances in genome sequencing technology and bioinformatics have revealed numerous uncharacterized genes, increasing sequence availability to researchers and enabling them to develop efficient tools for gene function studies in cotton (Li et al, 2014;Zhang et al, 2015;Wang et al, 2019;Ma et al, 2021). In the last decade, a series of genes involving important traits have been cloned, including MYB25 (Machado et al, 2009), GRLs (Liu et al, 2021), GhSP (McGarry et al, 2016, GoPGF (Ma et al, 2016), and CGP1 (Gao et al, 2020), which control cotton fiber initiation, disease resistance, plant architecture and flowering, pigment gland formation, and gland pigmentation, respectively. The CRISPR system has allowed the utilization of the identified genes in cotton improvement and breeding (Gao et al, 2017;Long et al, 2018;Wang et al, 2018).…”
Section: Introductionmentioning
confidence: 99%