ICAR-Indian Institute of Oil Palm Research, Pedavegi, West Godavari District, Andhra Pradesh State, India.
PLoS One. 2019 Aug 7;14(8):e0220626. doi: 10.1371/journal.pone.0220626. eCollection 2019.
The marker-trait association for complex traits using genotyping by sequencing (GBS) method is being widely spread in plants. The study aimed to identify significant single nucleotide polymorphism (SNP) associations for rachis length (RL), leaf area (LA) and total dry weight (TrDW) in oil palm among diverse African germplasm. The Illumina NextSeq platform has been used for SNP genotyping and retained 4031 fully informative SNPs after applying the filter criterion. These 4031 SNPs were used for genome wide association study for the above three traits. The LD decay rates of the African germplasm using GBS data of SNP is observed to be 25 Kb at 0.45 of average pair wise correlation coefficient (r2). Association mapping led to the identification of seven significant associations for three traits using MLM approach at a P value of ≤ 0.001. Three associations were identified for total dry weight, two each for leaf area index and rachis length. The qtlLA1 was found to be highly significant at a P value of 7.39E-05 (18.4% phenotypic variance) which is located on chromosome 4. Two QTLs (qtlLA2 and qtlRL1) were located on chromosome 1, which explained 11.9% and 12.4% of phenotypic variance respectively. Three QTLs for total dry weight were located on chromosome 2, 14 and 16, all-together explained 40% phenotypic variance. The results showed that the SNP-trait associations identified in the present study could be used in selection of elite oil palm germplasm for higher yields.
利用测序(GBS)方法进行基因型标记 - 性状关联分析在植物中得到了广泛的应用。本研究旨在鉴定不同非洲种质资源中油棕穗长(RL)、叶面积(LA)和总干重(TrDW)的显著单核苷酸多态性(SNP)关联。Illumina NextSeq 平台已用于 SNP 基因分型,并在应用过滤标准后保留了 4031 个完全信息 SNP。这 4031 个 SNP 用于上述三个性状的全基因组关联研究。使用 GBS 数据 SNP 的非洲种质资源的 LD 衰减率在平均成对相关系数(r2)为 0.45 时观察到为 25 Kb。关联映射使用 MLM 方法在 P 值≤0.001 时鉴定出三个性状的七个显著关联。总共鉴定出三个与总干重相关的关联,两个与叶面积指数相关,两个与穗长相关。qtlLA1 在 P 值为 7.39E-05(18.4%表型方差)时被高度显著,位于第 4 号染色体上。两个 QTL(qtlLA2 和 qtlRL1)位于第 1 号染色体上,分别解释了 11.9%和 12.4%的表型方差。三个总干重 QTL 位于第 2、14 和 16 号染色体上,共解释了 40%的表型方差。结果表明,本研究中鉴定的 SNP-性状关联可用于选择高产油棕优良种质资源。