bioRxivEvolutionary BiologyPreprint
A wild genome of the underutilized legume lablab (Lablab purpureus) reveals the genetic basis of domestication
Tsz‐Yan CheungiD, Delbert Almerick T. BoncaniD, Yuxuan YuaniD, Yunjia ZhangiD, Prakit SomtaiD, Mark A. ChapmaniD, Ting‐Fung ChaniD
Abstract
BackgroundWith global food security threatened by climate change and the growing global population, underutilized crops offer sustainable solutions for diversifying current agricultural systems. Lablab (Lablab purpureus) is a highly versatile, climate-resilient underutilized legume native to Africa and widely, but locally, cultivated in Asia with untapped potential for sustainable agriculture. However, the lack of wild genome resource prevents a comprehensive genome utilization research for this underutilized crop. This paper presents the first chromosome-scale genome of wild lablab with its complete gene annotation and provides comprehensive population genomic analyses of its evolution and domestication by resequencing a panel of wild and domesticated accessions. ResultsThe genome was assembled into a total size of 478.2 Mb with a scaffold N50 of 39.7 Mb, and 96.4% (460.8 Mb) of the scaffolds anchored to 11 pseudochromosomes, the haploid chromosome number of lablab. We demonstrated that domestication was likely in Africa with several subsequent instances of transportation into Asia. Our analyses identified selective sweeps resulting from domestication as well as pseudogenes associated with yield-related traits and stress tolerance, representing candidate genes for further validation and targets for future breeding programs. ConclusionsOur genomic resource for wild lablab delineated its domestication history and identified key genes and pseudogenes under selection, bridging the gap between its untapped wild diversity and breeding for improved stress resilience and yield in underutilized legumes. This offers genomic and genetic insights for crop improvement of lablab.
- organism: plant (other)
- assay: whole-genome sequencing
- research focus: chromatin & epigenetic regulation
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 0
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