2016
DOI: 10.1007/s12298-016-0362-2
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Identification and evidence of positive selection upon resistance gene analogs in cotton (Gossypium hirsutum L.)

Abstract: Abstracts Upland cotton (Gossypium hirsutum L.) is an important fiber crop species, which is intensively plagued by a plethora of phytopathogenic fungi such as Fusarium oxysporum f. sp. vasinfectum (Fov) causing severe wilt disease. Resistance gene analogs (RGAs) are the largest class of potential resistance (R) genes depicting highly conserved domains and structures in plants. Additionally, RGAs are pivotal components of breeding projects towards host disease resistance, serving as useful functional markers l… Show more

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Cited by 4 publications
(2 citation statements)
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References 31 publications
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“…Positive selection plays important roles in plant evolution and adaptation to biotic and abiotic stresses; gene expression and regulation changes have been postulated to be key determinants of the rates of adaptive evolution (Khan et al ., ; Paape et al ., ; Seeholzer et al ., ; Sun et al ., ; Zambounis et al ., ). The positively selected genes (PSGs) between G. australe and G. arboretum remain unknown.…”
Section: Resultsmentioning
confidence: 97%
“…Positive selection plays important roles in plant evolution and adaptation to biotic and abiotic stresses; gene expression and regulation changes have been postulated to be key determinants of the rates of adaptive evolution (Khan et al ., ; Paape et al ., ; Seeholzer et al ., ; Sun et al ., ; Zambounis et al ., ). The positively selected genes (PSGs) between G. australe and G. arboretum remain unknown.…”
Section: Resultsmentioning
confidence: 97%
“…A recent study by Zambounis and his colleagues [82] has delved into the evolutionary aspects of cotton resistance gene analogs (RGAs), unveiling signs of positive selection and potential functional implications. RGAs show great promise as functional markers in breeding programs aimed at bolstering cotton's resistance to Fusarium wilt.…”
Section: Detection and Genotyping For Disease Managementmentioning
confidence: 99%