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Genetic analysis of yield components in buckwheat using high-throughput sequencing analysis and wild resource populations.
Zhang, Xiao; Yang, Miao; Liu, Zhang; Yang, Fan; Zhang, Lei; Guo, Yajing; Huo, Dongao.
Affiliation
  • Zhang X; College of Biological Sciences and Technology, Taiyuan Normal University, Jinzhong, 030619 China.
  • Yang M; College of Biological Sciences and Technology, Taiyuan Normal University, Jinzhong, 030619 China.
  • Liu Z; Center for Agricultural Genetic Resources Research, Shanxi Agricultural University, Taiyuan, 030031 China.
  • Yang F; College of Biological Sciences and Technology, Taiyuan Normal University, Jinzhong, 030619 China.
  • Zhang L; College of Biological Sciences and Technology, Taiyuan Normal University, Jinzhong, 030619 China.
  • Guo Y; College of Biological Sciences and Technology, Taiyuan Normal University, Jinzhong, 030619 China.
  • Huo D; College of Biological Sciences and Technology, Taiyuan Normal University, Jinzhong, 030619 China.
Physiol Mol Biol Plants ; 30(8): 1313-1328, 2024 Aug.
Article in En | MEDLINE | ID: mdl-39184561
ABSTRACT
Fagopyrum tataricum, an important medicinal and edible crop, possesses significant agricultural and economic value. However, the development of buckwheat varieties and yields has been hindered by the delayed breeding progress despite the abundant material resources in China. Current research indicates that quantitative trait loci (QTLs) play a crucial role in controlling plant seed type and yield. To address these limitations, this study constructed recombinant inbred lines (RILs) utilizing both cultivated species and wild buckwheat as raw materials. In total, 84,521 Single Nucleotide Polymorphism (SNP) markers were identified through Genotyping-by-Sequencing (GBS) technology, and high-resolution and high-density SNP genetic maps were developed, which had significant value for QTL mapping, gene cloning and comparative mapping of buckwheat. In this study, we successfully identified 5 QTLs related to thousand grain weight (TGW), 9 for grain length (GL), and 1 for grain width (GW) by combining seed type and TGW data from 202 RIL populations in four different environments, within which one co-located QTL for TGW were discovered on the first chromosome. Transcriptome analysis during different grain development stages revealed 59 significant expression differences between the two materials, which can serve as candidate genes for further investigation into the regulation of grain weight and yield enhancement. The mapped major loci controlling TGW, GL and GW will be valuable for gene cloning and reveal the mechanism underlying grain development and marker-assisted selection in Tartary buckwheat.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Physiol Mol Biol Plants Year: 2024 Document type: Article Country of publication: India

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Physiol Mol Biol Plants Year: 2024 Document type: Article Country of publication: India