2011
DOI: 10.1007/s10681-011-0421-2
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Mapping resistance gene analogs (RGAs) in cultivated tetraploid cotton using RGA-AFLP analysis

Abstract: Diseases cause significant losses in cotton production throughout the US Cotton Belt. Growing resistant cultivars can significantly improve cotton yields and effectively reduce production inputs. Disease resistance (R) genes have been isolated in numerous plant species and the R genes with domains of nucleotide binding sites (NB) and leucine rich repeats (LRR) represent the largest R gene family. Degenerate primers designed based on conserved motifs of plant disease resistance genes were used alone or in combi… Show more

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Cited by 14 publications
(8 citation statements)
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“…, Niu et al. ). The development of PAAP‐RAPD (random amplified polymorphic DNA‐based promoter anchored amplified polymorphism), STS (sequence tagged sites) and cDNA‐AFLP markers was previously described by Pang () and Pang et al.…”
Section: Methodsmentioning
confidence: 99%
“…, Niu et al. ). The development of PAAP‐RAPD (random amplified polymorphic DNA‐based promoter anchored amplified polymorphism), STS (sequence tagged sites) and cDNA‐AFLP markers was previously described by Pang () and Pang et al.…”
Section: Methodsmentioning
confidence: 99%
“…The BILs were derived from an interspecific cross between the resistant Pima S-7 and the susceptible Upland Sure-Grow 747. RGA-AFLP markers, which were found to be widely distributed on the cotton genome, were also used to map root-knot nematode resistance (Niu et al, 2011). RGA-AFLP may provide candidate gene markers for disease resistance.…”
Section: Mapping Of Verticillium Wilt Resistance Qtlsmentioning
confidence: 99%
“…Complete resistant upland cotton cultivars against Fov isolates are not reported till date. Nevertheless, numerous efforts have been previously made for assisting disease resistance breeding programs (Fang et al 2014;Hinchliffe et al 2005;Niu et al 2011), mainly by means of cloning segments of putative disease resistance (R) genes known as resistance gene analogues (RGAs).…”
Section: Introductionmentioning
confidence: 99%