Recently, the edible bean research team of the Institute of Cereals and Oil Crops of HAAFS assembled a chromosome level high-quality mungbean reference genome and constructed the first pangenome and whole genome variation map of mungbean. It is the first time to conduct genome-wide association analysis on 33 important agronomic traits by using SNP and PAV identified by high-depth sequencing. A series of important candidate loci related to yield, quality, resistance and other traits were discovered. On June 26, this achievement was published online in the journal plant communications (JCR Q1, impact factor 8.625)
Mung bean (Vigna radiata (L.) r. Wilczek) is one of the important cereals crops in China. It has drought resistance, barren resistance and nitrogen fixation ability. Meanwhile, it is also an important source of carbohydrates, high-quality protein, folic acid, iron and other trace elements. Compared with soybean, kidney bean and other leguminous crops, the genome research of mung bean is relatively backward, which seriously limits the progress of mung bean molecular breeding. The research first used pacbio third-generation sequencing combined with second-generation sequencing data and Hi-C data to conduct genome de novo assembly of the excellent mung bean cultivar "Jilu 7" (Vrad_JL7) selected by the team. The size of the assembled sequence is 475.19 Mb, accounting for 99.13% of the estimated genome size. 98.72% of the sequences can be attached to 11 pseudochromosomes. The release of the reference genome laid a foundation for genetic background analysis and gene cloning of important traits in mung bean. In this study, the whole genome of 217 mung bean core germplasm was resequenced for the first time, and the first mung bean pangenome was constructed using the "map to pan" strategy. Its size is about 763 Mb, and a total of 43462 predicted genes were identified. The construction of the pangenome is conducive to retrieve the heritability lost in mung bean breeding, comprehensively identify the genes involved in important biological processes, and provide a new idea for analyzing the genetic mechanism of complex traits.
In addition, the study also investigated the phenotypes of 33 important agronomic traits of 217 materials under 6 environments. Based on GWAS analysis of SNPs, 2912 significant association signals (STAs) were identified. In addition to SNP GWAS, gene PAV based association studies also identified 391 PAV significant association events (GPTAs) with high consistency with STAs. In-depth interpretation of these associated information will help to identify the key control genes of important traits and promote mung bean molecular marker assisted breeding and genome-wide selective breeding.
（Source from www.hebnky.com）