Genome-Wide Association Mapping for Agronomic and Seed Quality Traits of Field Pea (Pisum sativum L.)

被引:72
作者
Gali, Krishna Kishore [1 ]
Sackville, Alison [1 ]
Tafesse, Endale G. [1 ]
Lachagari, V. B. Reddy [2 ]
McPhee, Kevin [3 ]
Hybl, Mick [4 ]
Mikic, Alexander [5 ]
Smykal, Petr [6 ]
McGee, Rebecca [7 ]
Burstin, Judith [8 ]
Domoney, Claire [9 ]
Ellis, T. H. Noel [10 ]
Tar'an, Bunyamin [1 ]
Warkentin, Thomas D. [1 ]
机构
[1] Univ Saskatchewan, Crop Dev Ctr, Dept Plant Sci, Saskatoon, SK, Canada
[2] AgriGenome Labs Pvt Ltd, Hyderabad, Telangana, India
[3] Montana State Univ, Dept Plant Sci & Plant Pathol, Bozeman, MT 59717 USA
[4] Dept Genet Resources Vegetables Med & Special Pla, Crop Res Inst, Olomouc, Czech Republic
[5] Inst Feld & Vegetable Crops, Forage Crops Dept, Novi Sad, Serbia
[6] Palacky Univ, Dept Bot, Olomouc, Czech Republic
[7] ARS, Grain Legume Genet & Physiol Res Unit, USDA, Pullman, WA USA
[8] INRA, UMRLEG, Dijon, France
[9] John Innes Ctr, Dept Metab Biol, Norwich, Norfolk, England
[10] Univ Auckland, Sch Biol Sci, Auckland, New Zealand
基金
英国生物技术与生命科学研究理事会;
关键词
field pea; genetic diversity; genome-wide association study; genotyping-by-sequencing; single nucleotide polymorphisms; SIMPLE SEQUENCE REPEAT; GENETIC DIVERSITY; POPULATION-STRUCTURE; LINKAGE DISEQUILIBRIUM; PARTIAL RESISTANCE; PREDICTION; LOCI; IDENTIFICATION; VARIETIES; MARKERS;
D O I
10.3389/fpls.2019.01538
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Genome-wide association study (GWAS) was conducted to identify loci associated with agronomic (days to flowering, days to maturity, plant height, seed yield and seed weight), seed morphology (shape and dimpling), and seed quality (protein, starch, and fiber concentrations) traits of field pea (Pisum sativum L.). A collection of 135 pea accessions from 23 different breeding programs in Africa (Ethiopia), Asia (India), Australia, Europe (Belarus, Czech Republic, Denmark, France, Lithuania, Netherlands, Russia, Sweden, Ukraine and United Kingdom), and North America (Canada and USA), was used for the GWAS. The accessions were genotyped using genotyping-by-sequencing (GBS). After filtering for a minimum read depth of five, and minor allele frequency of 0.05, 16,877 high quality SNPs were selected to determine marker-trait associations (MTA). The LD decay (LD1/2max,90) across the chromosomes varied from 20 to 80 kb. Population structure analysis grouped the accessions into nine subpopulations. The accessions were evaluated in multi-year, multi-location trials in Olomouc (Czech Republic), Fargo, North Dakota (USA), and Rosthern and Sutherland, Saskatchewan (Canada) from 2013 to 2017. Each trait was phenotyped in at least five location-years. MTAs that were consistent across multiple trials were identified. Chr5LG3_566189651 and Chr5LG3_572899434 for plant height, Chr2LG1_409403647 for lodging resistance, Chr1LG6_57305683 and Chr1LG6_366513463 for grain yield, Chr1LG6_176606388, Chr2LG1_457185, Chr3LG5_234519042 and Chr7LG7_8229439 for seed starch concentration, and Chr3LG5_194530376 for seed protein concentration were identified from different locations and years. This research identified SNP markers associated with important traits in pea that have potential for marker-assisted selection towards rapid cultivar improvement.
引用
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页数:19
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