bioRxivBioinformaticsPreprint
Comparative Analysis of Sorghum EMS Mutants and Natural Populations
Liya WangiD, Anna LipzeniD, Zhenyuan LuiD, Junping CheniD, Xiao‐Fei WangiD, Marcela Karey Tello-RuiziD, Kerrie BarryiD, Jenny C. MortimeriD, Doreen WareiD, Zhanguo XiniD
Abstract
To build a large-scale genomic resource for functional validation of sorghum genes through EMS-mutagenized BTx623 seeds, we deep sequenced (30-60X) an additional 445 phenotyped EMS mutant lines. 4.2 million EMS mutations are called with nearly 36,800 mutations that could have a disruptive effect on functions of over 15,500 genes. Combining variants carried by both the natural population and previous EMS efforts, over 69% of sorghum coding genes (23644) are now presented with one or more mutations that are, or are predicted to be, disruptive to their functions. Our results show that the EMS population carries more significant mutations but less in each sample than the natural population, which makes it more powerful in elucidating sorghum gene functions on a large scale and requiring less work in validation of candidate causal genes. We have made the data available through two ways, one is the integration with the BSAseq workflow that supports retrieving independent EMS samples carrying the same genes with significant mutation for complementary testing, and the other is a web application for directly querying genes with significant mutations on SciApps.org.
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