ACTA AGRICULTURAE BOREALI-SINICA ›› 2020, Vol. 35 ›› Issue (S1): 1-10. doi: 10.7668/hbnxb.20191472

Special Issue: Oil crops Biotechnology

• Crop Genetics and Breeding·Germplasm Resources·Biotechnology • Previous Articles     Next Articles

Genome-wide Mapping of QTLs and Candidate Genes Underlying Plant Height in Soybean Using BSA Method

ZHANG Jiukun, QI Yangyang, LI Lizhu, NING Xiaoshuang, LIU Zhihua, JIANG Zhenfeng, LI Wenbin   

  1. Northeast Agricultural University, Key Laboratory of Soybean Biology in Chinese Ministry of Education, Key Laboratory of Soybean Biology and Genetics Breeding of Chinese Agriculture Ministry, Harbin 150030, China
  • Received:2020-06-10 Published:2020-12-28

Abstract: Plant height is the key factor for high yield in soybean and the elucidation of the genes underlying plant height can facilitate the breeding of new soybean varieties using molecular assisted selection. In current study,two populations,F2 and recombinant inbred lines(RILs)were constructed by crossing Dongnong 594 and Charleston. 40 individuals with extremely high plant heights and another 40 individuals with extremely short plant heights from the 1 500 F2:3 individuals were selected to establish tall and low pools for DNA sequencing. Meantime,20 extremely high individuals and another 20 short individuals from the RIL population were also selected to construct another tall and low pools for DNA sequencing. The parents were sequenced by 50×depth and high and low pools were sequenced by 20×depth,respectively. A total of 20 187 reliable SNPs in F2 population and 20 285 reliable SNPs in RIL population(reads more than 4)were identified,respectively. The high-quality and reliable SNPs were chosen to identify the candidate genes underlying plant height in soybean using SNP-index association analysis method and Euclidean distance(ED)association analysis method. Ten chromosome segments were identified using F2 population and RIL population with SNP-index and ED method,simultaneously,which improved the mining results from only one population with one calculation method. Further,the annotation information of Arabidopsis thaliana and soybean were used to screen the candidate genes underling the height of soybean. Meantime,we compared the candidate genes with the transcriptome data(from R1 period of tall and low lines of RILs)to further understand the expression way. Finally,18 genes controlling plant height were located on ten different chromosomes of soybean(Glyma.01G214300, Glyma.01G220700, Glyma.02G095600, Glyma.03G158100, Glyma.03g230000, Glyma.04G033800, Glyma.04G063800, Glyma.04g065600, Glyma.04G190800, Glyma.04G210000, Glyma.04G210700, Glyma.04G212900, Glyma.04g227700, Glyma.05G148700, Glyma.09G158400, Glyma.11G100400, Glyma.12G012400 and Glyma.15g052400). Among them, Glyma.03g230000, Glyma.04g065600,and Glyma.04g227700 were detected in the transcriptome data,indicating that these candidate genes are closely related to plant height development,and the function of these genes are studied. Furthermore,the function verification of transgene soybean is needed.It is of great significance to soybean plant assisted breeding.

Key words: Soybean, Plant height, BSA, SNP, SSR

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Cite this article

ZHANG Jiukun, QI Yangyang, LI Lizhu, NING Xiaoshuang, LIU Zhihua, JIANG Zhenfeng, LI Wenbin. Genome-wide Mapping of QTLs and Candidate Genes Underlying Plant Height in Soybean Using BSA Method[J]. ACTA AGRICULTURAE BOREALI-SINICA, 2020, 35(S1): 1-10. doi: 10.7668/hbnxb.20191472.

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