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Cited 3 time in webofscience Cited 3 time in scopus
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Unraveling the maternal and paternal origins of allotetraploid Vigna reflexo-pilosaopen access

Authors
Lee, JayernKang, Yang JaePark, HalimShim, SangreaHa, JungminLee, TaeyoungKim, Moon YoungLee, Suk-Ha
Issue Date
Dec-2023
Publisher
Nature Research
Citation
Scientific Reports, v.13, no.1
Indexed
SCIE
SCOPUS
Journal Title
Scientific Reports
Volume
13
Number
1
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/69053
DOI
10.1038/s41598-023-49908-2
ISSN
2045-2322
Abstract
The genomic structures of Vigna hirtella Ridl. and Vigna trinervia (B.Heyne ex Wight & Arn.) Tateishi & Maxted, key ancestral species of the allotetraploid Vigna reflexo-pilosa var. glabra (Roxb.) N.Tomooka & Maxted, remain poorly understood. This study presents a comprehensive genomic comparison of these species to deepen our knowledge of their evolutionary trajectories. By comparing the genomic profiles of V. hirtella and V. trinervia with those of V. reflexo-pilosa, we investigate the complex genomic mechanisms underlying allopolyploid evolution within the genus Vigna. Comparison of the chloroplast genome revealed that V. trinervia is closely related to V. reflexo-pilosa. De novo assembly of the whole genome, followed by synteny analysis and Ks value calculations, confirms that V. trinervia is closely related to the A genome of V. reflexo-pilosa, and V. hirtella to its B genome. Furthermore, the comparative analyses reveal that V. reflexo-pilosa retains residual signatures of a previous polyploidization event, particularly evident in higher gene family copy numbers. Our research provides genomic evidence for polyploidization within the genus Vigna and identifies potential donor species of allotetraploid species using de novo assembly techniques. Given the Southeast Asian distribution of both V. hirtella and V. trinervia, natural hybridization between these species, with V. trinervia as the maternal ancestor and V. hirtella as the paternal donor, seems plausible. © 2023, The Author(s).
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학과간협동과정 > 바이오의료빅데이터학과 > Journal Articles

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자연과학대학 (생명과학부)
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