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Advanced genes expression pattern greatly contributes to divergence in Verticillium wilt resistance between Gossypium barbadense and Gossupium hirsutum.
He, Lu; Han, Zegang; Zang, Yihao; Dai, Fan; Chen, Jinwen; Jin, Shangkun; Huang, Chujun; Cheng, Yu; Zhang, Juncheng; Xu, Biyu; Qi, Guoan; Cao, Yiwen; Yan, Sunyi; Xuan, Lisha; Zhang, Tianzhen; Si, Zhanfeng; Hu, Yan.
Affiliation
  • He L; Department of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
  • Han Z; Department of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
  • Zang Y; Department of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
  • Dai F; Department of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
  • Chen J; Department of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
  • Jin S; Department of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
  • Huang C; Department of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
  • Cheng Y; Department of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
  • Zhang J; Department of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
  • Xu B; Department of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
  • Qi G; Department of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
  • Cao Y; Department of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
  • Yan S; Department of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
  • Xuan L; Department of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
  • Zhang T; Department of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
  • Si Z; Department of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
  • Hu Y; The Rural Development Academy, Zhejiang University, Hangzhou, China.
Front Plant Sci ; 13: 979585, 2022.
Article in En | MEDLINE | ID: mdl-35979082
ABSTRACT
Verticillium, representing one of the world's major pathogens, causes Verticillium wilt in important woody species, ornamentals, agricultural, etc., consequently resulting in a serious decline in production and quality, especially in cotton. Gossupium hirutum and Gossypium barbadense are two kinds of widely cultivated cotton species that suffer from Verticillium wilt, while G. barbadense has much higher resistance toward it than G. hirsutum. However, the molecular mechanism regarding their divergence in Verticillium wilt resistance remains largely unknown. In the current study, G. barbadense cv. Hai7124 and G. hirsutum acc. TM-1 were compared at 0, 12, 24, 48, 72, 96, 120, and 144 h post-inoculation (hpi) utilizing high throughput RNA-Sequencing. As a result, a total of 3,549 and 4,725 differentially expressed genes (DEGs) were identified, respectively. In particular, the resistant type Hai7124 displayed an earlier and faster detection and signaling response to the Verticillium dahliae infection and demonstrated higher expression levels of defense-related genes over TM-1 with respect to transcription factors, plant hormone signal transduction, plant-pathogen interaction, and nucleotide-binding leucine-rich repeat (NLR) genes. This study provides new insights into the molecular mechanisms of divergence in Verticillium wilt resistance between G. barbadense and G. hirsutum and important candidate genes for breeding V. dahliae resistant cotton cultivars.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Front Plant Sci Year: 2022 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Front Plant Sci Year: 2022 Document type: Article Affiliation country:
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