Open AccessGenome-wide association study for candidate genes controlling seed yield and its components in rapeseed (Brassica napus subsp. napus)
Author(s) -
Lily Pal,
Surinder Sandhu,
Dharminder Bhatia,
Sorabh Sethi
Publication year - 2021
Publication title -
physiology and molecular biology of plants/physiology and molecular biology of plants
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.754
H-Index - 35
eISSN - 0971-5894
pISSN - 0974-0430
DOI - 10.1007/s12298-021-01060-9
Subject(s) - biology , candidate gene , quantitative trait locus , single nucleotide polymorphism , rapeseed , brassica , genome wide association study , genetics , genetic association , genetic diversity , trait , gene , linkage disequilibrium , plant breeding , genotype , horticulture , botany , population , demography , sociology , computer science , programming language
Genetic improvement of seed yield per plant (SY) is one of the major objectives in Brassica napus breeding programme. SY, being a complex quantitative trait is directly and indirectly influenced by yield-component traits such as siliqua length (SL), number of seeds per siliqua (NSS), and thousand seed weight (TSW). Therefore, concurrent improvement in SL, NSS and TSW can lead to higher SY in B. napus . This study was conducted to identify significant SNPs and putative candidate genes governing SY and its component traits (SL, NSS, TSW). All these traits were evaluated in a diverse set of 200 genotypes representing diversity from wide geographical locations. Of these, a set of 125 genotypes were chosen based on pedigree diversity and multi-location trait variation for genotyping by sequencing (GBS). Best linear unbiased predictors (BLUPs) of all the traits were used for genome-wide association study (GWAS) with 85,126 SNPs obtained from GBS. A total of 16, 18, 27 and 18 SNPs were found to be significantly associated for SL, NSS, TSW and SY respectively. Based on linkage disequilibrium decay analysis, 150 kb genomic region flanking the SNP was used for the identification of underlying candidate genes for each test trait. Important candidate genes involved in phytohormone signaling ( WAT1, OSR1, ARR8, CKX1, REM7, REM9, BG1 ) and seed storage proteins (Cruciferin) were found to have significant influence on seed weight and yield. Genes involved in sexual reproduction and fertilization ( PERK7, PERK13, PRK3, GATA15, NFD6 ) were found to determine the number of seeds per siliqua. Several genes found in this study namely ATS3A, CKX1, SPL2, SPL6, SPL9, WAT1 showed pleiotropic effect with yield component traits. Significant SNPs and putative candidate genes identified for SL, NSS, TSW and SY could be used in marker-assisted breeding for improvement of crop yield in B. napus. Genotypes identified with high SL, NSS, TSW and SY could serve as donors in crop improvement programs in B. napus.