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QTL Identification for Stem Fiber, Strength and Rot Resistance in a DH Population from an Alien Introgression of Brassica napus.
Shao, Yujiao; Shen, Yusen; He, Feifei; Li, Zaiyun.
Affiliation
  • Shao Y; College of Chemistry and Life Science, Hubei University of Education, Wuhan 430070, China.
  • Shen Y; Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
  • He F; Department of Natural Sciences, Shantou Polytechnic, Shantou 515078, China.
  • Li Z; College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Plants (Basel) ; 11(3)2022 Jan 29.
Article in En | MEDLINE | ID: mdl-35161354
ABSTRACT
Stem fiber, stem strength and stem-rot resistance are important agronomic traits in Brassica napus. To understand the molecular mechanism that controls the stem-related traits, we investigated the stem lignin (ADL), cellulose (Cel), hemicellulose (Hem) content, S/G monolignol ratio (SG), stem breaking force (BF), breaking strength (F) and Sclerotinia sclerotiorum resistance (SSR). Each trait was significantly positively or negatively correlated with more than three of the other six traits. QTL mapping for ADL, Cel, Hem, SG, BF, F and SSR were performed using a doubled haploid population derived from an intertribal B. napus introgression line 'Y689' crossed with B. napus cv. 'Westar'. A total of 67 additive QTL were identified and integrated into 55 consensus QTL by meta-analysis. Among the 55 consensus QTL, 23 (41.8%) QTL were co-located and were integrated into 11 unique QTL. The QTL by environment (Q × E) interactions were analyzed and 22 combined QTL were identified. In addition, candidate genes within the QTL intervals were proposed based on the known function of Arabidopsis orthologs. These results provided valuable information for improving lodging resistance, S. sclerotiorum resistance and mechanized harvesting of B. napus.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Plants (Basel) Year: 2022 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Plants (Basel) Year: 2022 Document type: Article Affiliation country: China