Association mapping of aphid resistance in USDA cowpea (Vigna unguiculata L. Walp.) core collection using SNPs
文献类型: 外文期刊
作者: Qin, Jun 1 ; Shi, Ainong 1 ; Mou, Beiquan 3 ; Bhattarai, Gehendra 1 ; Yang, Wei 1 ; Weng, Yuejin 1 ; Motes, Dennis 4 ;
作者机构: 1.Univ Arkansas, Dept Hort, Fayetteville, AR 72701 USA
2.Hebei Acad Agr & Forestry Sci, Minist Agr, Cereal & Oil Crop Inst,North China Key Lab Biol &, Natl Soybean Improvement Ctr,Shijiazhuang Subctr, Shijiazhuang 050031, Peoples R China
3.ARS, USDA, 1636 E Alisal St, Salinas, CA 93905 USA
4.Univ Arkansas, Vegetable Res Ctr, Alma, AR 72921 USA
关键词: Cowpea;Vigna unguiculata;Aphid resistance;Single nucleotide polymorphism (SNP);Association analysis
期刊名称:EUPHYTICA ( 影响因子:1.895; 五年影响因子:2.181 )
ISSN:
年卷期:
页码:
收录情况: SCI
摘要: Cowpea aphid (Aphis craccivora) is a destructive insect pest of cowpea, as well as other legume crops including alfalfa, beans, chickpea, lentils, lupins and peanuts. The utilization of aphid resistance in cowpea breeding is one of the most efficient and environmental friendly methods to control aphids. Using marker-assisted selection will expedite cowpea breeding procedures, but it is limited by the lack of information on marker associations of the aphid resistance. The objective of this study was to identify single nucleotide polymorphism (SNP) markers associated with aphid resistance in cowpea and to conduct genetic diversity analysis for aphid resistant resources. In this study, 338 cowpea accessions from the cowpea core collection in United States Department of Agriculture (USDA) Germplasm Resources Information Network (GRIN), originally collected from 40 countries, were evaluated for their aphid resistance and 1047 SNPs identified from genotyping by sequencing (GBS) were used as the genotypic data. Single marker regression, general linearmodel, and mixed linearmodel in TASSEL were used for association analysis between the SNPs and the phenotypic data. Three clusters for the association panel of the 338 cowpea accessions were inferred by STRUCTURE analysis, in good agreement with the phylogenetic tree drawn by MEGA 6 based on the maximum likelihood model with the neighbor joining method. A genome-wide association study revealed that two SNP markers, C35011941_894 and Scaf-fold30061_3363, were strongly associated with aphid resistance across three models with the log of odds (LOD) value greater than 2.5. The results will provide useful information for selecting aphid resistance in cowpea molecular breeding.
- 相关文献
作者其他论文 更多>>
-
Genome-Wide Association Study and Genomic Prediction of Soybean Mosaic Virus Resistance
作者:He, Di;Wu, Xintong;Liu, Zhi;Yang, Qing;Shi, Xiaolei;Yan, Long;He, Di;Yan, Long;Song, Qijian;Shi, Ainong;Li, Dexiao
关键词:soybean mosaic virus (SMV); genome-wide association study (GWAS); genomic prediction (GP); quantitative trait locus (QTL); marker-assisted selection (MAS)
-
Transcriptome analysis reveals nutrient deprivation reduces nitrate content in lettuce (Lactuca sativa var. ramosa Hort.) and enhances nitrogen metabolism
作者:Zhang, Yingying;Liu, Xuena;La, Shikai;Wang, Mingjiao;Guo, Jinghua;Dong, Lingdi;Hu, Xu;Shi, Ainong
关键词:lettuce; nutrient deprivation; nitrate; N metabolism; transcriptome analysis
-
Genome-wide association analysis study and genomic prediction for resistance to soybean mosaic virus in soybean population
作者:Zhao, Tiantian;Wang, Fengmin;Qi, Jin;Chen, Yuling;Zhao, Tiantian;Wang, Fengmin;Qi, Jin;Chen, Qiang;Zhu, Lijuan;Liu, Luping;Yan, Long;Yang, Chunyan;Qin, Jun
关键词:Soybean; SMV; GWAS; GS
-
Effect of PGPRs on the Rhizosphere Microbial Community Structure and Yield of Silage Maize in Saline-Alkaline Fields
作者:Zhao, Weisong;Li, Shezeng;Yang, Wei;Cui, Naqi;Lu, Xiuyun;Mo, Shaojing;Guo, Qinggang;Ma, Ping
关键词:PGPR; saline-alkaline soils; silage maize; soil nutrients; rhizosphere microbiome; microbial community structure
-
Identification of Loci and Candidate Genes Associated with Arginine Content in Soybean
作者:Ma, Jiahao;Yang, Qing;Yu, Cuihong;Liu, Zhi;Shi, Xiaolei;Wu, Xintong;Xu, Rongqing;Shen, Pengshuo;Yan, Long;Ma, Jiahao;Xu, Rongqing;Shen, Pengshuo;Zhang, Yuechen;Yu, Cuihong;Shi, Ainong
关键词:
Glycine max ; soybean; arginine; GWAS; genomic prediction; SNP -
Identification of QTLs and candidate genes for water-soluble protein content in soybean seeds
作者:Zhang, Xujuan;Wang, Fengmin;Chen, Qiang;Zhao, Qingsong;Zhao, Tiantian;Hu, Xuejie;Liu, Luping;Qi, Jin;Zhang, Mengchen;Yang, Chunyan;Qin, Jun;Zhang, Xujuan;Hu, Xuejie;Qiao, Yake;Zhao, Tiantian;Qi, Jin
关键词:Soybean; WSP; QTL; Candidate gene mining
-
Ability of Genomic Prediction to Bi-Parent-Derived Breeding Population Using Public Data for Soybean Oil and Protein Content
作者:Li, Chenhui;Li, Chenhui;Yang, Qing;Liu, Bingqiang;Shi, Xiaolei;Liu, Zhi;Yang, Chunyan;Zhang, Mengchen;Yan, Long;Wang, Tao;Xiao, Fuming;Shi, Ainong
关键词:soybean; protein content; oil content; GP; prediction ability; G-BLUP



