Zhao Yunlei, Wang Hongmei, Chen Wei, Li Yunhai
State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences (CAAS), Anyang, People's Republic of China.
PLoS One. 2014 Jan 23;9(1):e86308. doi: 10.1371/journal.pone.0086308. eCollection 2014.
Understanding the population structure and linkage disequilibrium in an association panel can effectively avoid spurious associations and improve the accuracy in association mapping. In this study, one hundred and fifty eight elite cotton (Gossypium hirsutum L.) germplasm from all over the world, which were genotyped with 212 whole genome-wide marker loci and phenotyped with an disease nursery and greenhouse screening method, were assayed for population structure, linkage disequilibrium, and association mapping of Verticillium wilt resistance. A total of 480 alleles ranging from 2 to 4 per locus were identified from all collections. Model-based analysis identified two groups (G1 and G2) and seven subgroups (G1a-c, G2a-d), and differentiation analysis showed that subgroup having a single origin or pedigree was apt to differentiate with those having a mixed origin. Only 8.12% linked marker pairs showed significant LD (P<0.001) in this association panel. The LD level for linked markers is significantly higher than that for unlinked markers, suggesting that physical linkage strongly influences LD in this panel, and LD level was elevated when the panel was classified into groups and subgroups. The LD decay analysis for several chromosomes showed that different chromosomes showed a notable change in LD decay distances for the same gene pool. Based on the disease nursery and greenhouse environment, 42 marker loci associated with Verticillium wilt resistance were identified through association mapping, which widely were distributed among 15 chromosomes. Among which 10 marker loci were found to be consistent with previously identified QTLs and 32 were new unreported marker loci, and QTL clusters for Verticillium wilt resistanc on Chr.16 were also proved in our study, which was consistent with the strong linkage in this chromosome. Our results would contribute to association mapping and supply the marker candidates for marker-assisted selection of Verticillium wilt resistance in cotton.
了解关联群体中的群体结构和连锁不平衡能够有效避免虚假关联,并提高关联定位的准确性。在本研究中,对来自世界各地的158份陆地棉(Gossypium hirsutum L.)优良种质进行了分析,这些种质通过212个全基因组标记位点进行基因分型,并采用病害圃和温室筛选方法进行表型鉴定,以分析群体结构、连锁不平衡以及黄萎病抗性的关联定位。从所有样本中总共鉴定出480个等位基因,每个位点的等位基因数为2至4个。基于模型的分析确定了两个组(G1和G2)和七个亚组(G1a - c、G2a - d),分化分析表明,单一来源或谱系的亚组易于与混合来源的亚组区分开来。在这个关联群体中,只有8.12%的连锁标记对显示出显著的连锁不平衡(P<0.001)。连锁标记的连锁不平衡水平显著高于非连锁标记,这表明物理连锁在该群体中对连锁不平衡有强烈影响,并且当将群体分为组和亚组时,连锁不平衡水平会升高。对几条染色体的连锁不平衡衰减分析表明,对于相同的基因库,不同染色体的连锁不平衡衰减距离有显著变化。基于病害圃和温室环境,通过关联定位鉴定出42个与黄萎病抗性相关的标记位点,这些位点广泛分布在15条染色体上。其中10个标记位点与先前鉴定的数量性状位点一致,32个是新的未报道的标记位点,并且在本研究中还证实了16号染色体上存在黄萎病抗性的数量性状位点簇,这与该染色体上的强连锁一致。我们的结果将有助于关联定位,并为棉花黄萎病抗性的标记辅助选择提供标记候选物。