Department of Forest Genetics and Plant Physiology, Umeå Plant Science Centre, Swedish University of Agricultural Science, Umeå, Sweden.
RISE Bioeconomy, Box 5604, 114 86, Stockholm, Sweden.
Sci Rep. 2020 Oct 22;10(1):18089. doi: 10.1038/s41598-020-72586-3.
Through the use of genome-wide association studies (GWAS) mapping it is possible to establish the genetic basis of phenotypic trait variation. Our GWAS study presents the first such effort in Norway spruce (Picea abies (L). Karst.) for the traits related to wood tracheid characteristics. The study employed an exome capture genotyping approach that generated 178 101 Single Nucleotide Polymorphisms (SNPs) from 40 018 probes within a population of 517 Norway spruce mother trees. We applied a least absolute shrinkage and selection operator (LASSO) based association mapping method using a functional multi-locus mapping approach, with a stability selection probability method as the hypothesis testing approach to determine significant Quantitative Trait Loci (QTLs). The analysis has provided 30 significant associations, the majority of which show specific expression in wood-forming tissues or high ubiquitous expression, potentially controlling tracheids dimensions, their cell wall thickness and microfibril angle. Among the most promising candidates based on our results and prior information for other species are: Picea abies BIG GRAIN 2 (PabBG2) with a predicted function in auxin transport and sensitivity, and MA_373300g0010 encoding a protein similar to wall-associated receptor kinases, which were both associated with cell wall thickness. The results demonstrate feasibility of GWAS to identify novel candidate genes controlling industrially-relevant tracheid traits in Norway spruce.
通过全基因组关联研究(GWAS)作图,可以确定表型性状变异的遗传基础。我们的 GWAS 研究首次在挪威云杉(Picea abies (L.) Karst.)中针对与木材管胞特征相关的性状进行了此类研究。该研究采用外显子捕获基因分型方法,从 517 株挪威云杉母树群体中的 40018 个探针中生成了 178101 个单核苷酸多态性(SNP)。我们应用了基于最小绝对收缩和选择算子(LASSO)的关联作图方法,采用功能多基因座作图方法,稳定性选择概率方法作为假设检验方法,确定显著的数量性状基因座(QTL)。该分析提供了 30 个显著关联,其中大多数在木质形成组织中特异性表达或高度普遍表达,可能控制着管胞的尺寸、细胞壁厚度和微纤维角。根据我们的结果和其他物种的先验信息,最有前途的候选基因包括:具有生长素运输和敏感性预测功能的 Picea abies BIG GRAIN 2 (PabBG2),以及编码类似于壁相关受体激酶的蛋白的 MA_373300g0010,这两个基因都与细胞壁厚度有关。研究结果表明,GWAS 可以识别控制挪威云杉工业相关管胞性状的新候选基因。