De novo genome assembly of rice bean ( Vigna umbellata ) - A nominated nutritionally rich future crop reveals novel insights into flowering potential, habit, and palatability centric - traits for efficient domestication.

Autor:	Kaul T; Nutritional Improvement of Crops, International Centre for Genetic Engineering and Biotechnology, New Delhi, India., Easwaran M; Nutritional Improvement of Crops, International Centre for Genetic Engineering and Biotechnology, New Delhi, India., Thangaraj A; Nutritional Improvement of Crops, International Centre for Genetic Engineering and Biotechnology, New Delhi, India., Meyyazhagan A; EuroEspes Biomedical Research Center, Institute of Medical Science and Genomic Medicine, La Coruña, Spain., Nehra M; Nutritional Improvement of Crops, International Centre for Genetic Engineering and Biotechnology, New Delhi, India., Raman NM; Nutritional Improvement of Crops, International Centre for Genetic Engineering and Biotechnology, New Delhi, India., Verma R; Nutritional Improvement of Crops, International Centre for Genetic Engineering and Biotechnology, New Delhi, India., Sony SK; Nutritional Improvement of Crops, International Centre for Genetic Engineering and Biotechnology, New Delhi, India., Abdel KF; Nutritional Improvement of Crops, International Centre for Genetic Engineering and Biotechnology, New Delhi, India., Bharti J; Nutritional Improvement of Crops, International Centre for Genetic Engineering and Biotechnology, New Delhi, India., Gayacharan; ICAR - National Bureau of Plant Genetic Resources, New Delhi, India., Badapanda C; Xcelris Labs Ltd., Ahmedabad, India., Balasubramanian B; Department of Food Science and Biotechnology, College of Life Sciences, Sejong University, Seoul, South Korea.
Jazyk:	angličtina
Zdroj:	Frontiers in plant science [Front Plant Sci] 2022 Oct 04; Vol. 13, pp. 739654. Date of Electronic Publication: 2022 Oct 04 (Print Publication: 2022).
DOI:	10.3389/fpls.2022.739654
Abstrakt:	Rice bean is a less-known underutilized legume crop with a high nutritional value among members of the Vigna family. As an initiative to compose rice bean ( Vigna umbellata ) genomic resource, the size of 414 mega-base pairs with an estimated identification of 31,276 high confidence index genes via 15,521 scaffolds generated from Illumina and PacBio platform 30X coverage data has achieved 96.08% functional coverage data from Illumina and PacBio platform. Rice bean genome assembly was found to be exquisitely close to Vigna angularis (experimental control/outgroup), Vigna radiata , and Vigna unguiculata , however, Vigna angularis being the closest. The assembled genome was further aligned with 31 leguminous plants (13 complete genomes and 18 partial genomes), by collinearity block mapping. Further, we predicted similar discriminant results by complete coding sequence (CDS) alignment. In contrast, 17 medically influential genomes from the National Institute of General Medical Sciences-National Institutes of Health NIGMS-NIH, when compared to rice bean assembly for LCB clusters, led to the identification of more than 18,000 genes from the entire selected medicinal genomes. Empirical construction of all genome comparisons revealed symplesiomorphic character in turn uncovering the lineage of genetic and functional features of rice beans. Significantly, we found deserving late-flowering genes, palatably indexed uncommon genes that regulate various metabolite pathways, related to abiotic and biotic stress pathways and those that are specific to photoperiod and disease resistance and so on. Therefore, the findings from this report address the genomic value of rice bean to be escalated via breeding by allied and applied approaches. Competing Interests: CB was employed by the Xcelris Labs Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2022 Kaul, Easwaran, Thangaraj, Meyyazhagan, Nehra, Raman, Verma, Sony, Abdel, Bharti, Gayacharan, Badapanda and Balasubramanian.)
Databáze:	MEDLINE
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