Your browser doesn't support javascript.
loading
Predicting Cloned Disease Resistance Gene Homologs (CDRHs) in Radish, Underutilised Oilseeds, and Wild Brassicaceae Species.
Cantila, Aldrin Y; Thomas, William J W; Bayer, Philipp E; Edwards, David; Batley, Jacqueline.
Afiliação
  • Cantila AY; School of Biological Sciences, The University of Western Australia, Perth 6009, Australia.
  • Thomas WJW; School of Biological Sciences, The University of Western Australia, Perth 6009, Australia.
  • Bayer PE; School of Biological Sciences, The University of Western Australia, Perth 6009, Australia.
  • Edwards D; School of Biological Sciences, The University of Western Australia, Perth 6009, Australia.
  • Batley J; School of Biological Sciences, The University of Western Australia, Perth 6009, Australia.
Plants (Basel) ; 11(22)2022 Nov 08.
Article em En | MEDLINE | ID: mdl-36432742
ABSTRACT
Brassicaceae crops, including Brassica, Camelina and Raphanus species, are among the most economically important crops globally; however, their production is affected by several diseases. To predict cloned disease resistance (R) gene homologs (CDRHs), we used the protein sequences of 49 cloned R genes against fungal and bacterial diseases in Brassicaceae species. In this study, using 20 Brassicaceae genomes (17 wild and 3 domesticated species), 3172 resistance gene analogs (RGAs) (2062 nucleotide binding-site leucine-rich repeats (NLRs), 497 receptor-like protein kinases (RLKs) and 613 receptor-like proteins (RLPs)) were identified. CDRH clusters were also observed in Arabis alpina, Camelina sativa and Cardamine hirsuta with assigned chromosomes, consisting of 62 homogeneous (38 NLR, 17 RLK and 7 RLP clusters) and 10 heterogeneous RGA clusters. This study highlights the prevalence of CDRHs in the wild relatives of the Brassicaceae family, which may lay the foundation for rapid identification of functional genes and genomics-assisted breeding to develop improved disease-resistant Brassicaceae crop cultivars.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article