Candidate Gene Detection for Sesame Plant Height Based on BSA-seq

doi:10.7668/hbnxb.20192363

Abstract

Abstract: In order to further explore sesame plant height related genes and provide theoretical guidance for the selection of machine harvesting sesame varieties, Jihangzhi 1 and DW607 were used as parents to construct an F₂ population. Bulked segregant pools were constructed with the plant height as the target trait using the F₂ population, and BSA-seq was carried out. Candidate chromosome regions were obtained using ED and ΔSNP/InDel-index methods. KEGG pathway and GO annotation were used for gene function analysis. A total of 298 634 SNPs and 76 360 InDels were found between the parents, and 24 048 SNPs and 9 360 InDels were found between the pools. Based on the SNP markers, the ED method obtained 5 chromosome regions, the ΔSNP-index method obtained 3 chromosome regions, and 3 regions were common between them. Based on the InDel markers, the ED method obtained 5 chromosome regions, the ΔInDels-index method obtained 8 chromosome regions, and 8 regions were common between them. Four regions were common between the SNP and the InDel merkers results, and 330 genes were annotated in these 4 regions. The first 20 KEGG pathways mainly involved plant hormone signal transduction and energy metabolism. By GO annotation analysis, 18 genes were involved in auxin response, which might be vital in plant height regulation.

Key words: Sesame, Plant height, BSA-seq, Candidate gene

CLC Number:

S565.03
Q78

CUI Yanqin, GUO Yuanzhang, HOU Shaofeng, LI Sida, GUAN Zhongbo, XU Guizhen. Candidate Gene Detection for Sesame Plant Height Based on BSA-seq[J]. ACTA AGRICULTURAE BOREALI-SINICA, 2021, 36(S1): 8-15. doi: 10.7668/hbnxb.20192363.

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