Affiliation:
1. National Science and Technology Development Agency (NSTDA), National Center for the Genetic Engineering and Biotechnology (BIOTEC) , 111 Thailand Science Park, Pathum Thani 12120 , Thailand
2. Department of Agronomy, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University , Nakhon Pathom 73140 , Thailand
Abstract
Abstract
Vigna reflexo-pilosa (créole bean) is a wild legume belonging to the subgenus Ceratoropis and is widely distributed in Asia. Créole bean is the only tetraploid species in the genus Vigna, and it has been shown to derive from the hybridization of Vigna hirtella and Vigna trinervia. In this study, we combined the long-read PacBio technology with the chromatin contact mapping (Hi-C) technique to obtain a chromosome-level assembly of V. reflexo-pilosa. The final assembly contained 998,724,903 bases with an N50 length of 42,545,650 bases. Our gene prediction recovered 99.4% of the highly conserved orthologs based on the BUSCO analysis. To investigate homoeolog expression bias and expression level dominance in the tetraploid, we also sequenced and assembled the genomes of its progenitors. Overall, the majority of the homoeolog pairs (72.9%) displayed no expression bias, and among those that exhibited biased expression, 16.3% showed unbalanced homoeolog expression bias toward the V. trinervia subgenome. Moreover, 41.2% and 36.2% of the expressed gene pairs exhibited transgressive expression and expression level dominance, respectively. Interestingly, the genome-wide expression level dominance in the tetraploid was biased toward the V. trinervia subgenome. The analysis of methylation patterns also revealed that the average methylation levels in coding regions were higher in the V. hirtella subgenome than those in the V. trinervia subgenome. The genomic/transcriptomic resources for these three species are useful not only for the development of elite cultivars in Vigna breeding programs but also to researchers studying comparative genomics and investigating genomic/epigenomic changes following polyploid events.
Funder
National Science and Technology Development Agency
Publisher
Oxford University Press (OUP)
Subject
Computer Science Applications,Health Informatics
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