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亚麻基因组变异与农艺性状的关联研究。

Genomic variations and association study of agronomic traits in flax.

机构信息

Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, China.

The Institute of Industrial Crops, Heilongjiang Academy of Agricultural Sciences, Harbin, China.

出版信息

BMC Genomics. 2018 Jul 3;19(1):512. doi: 10.1186/s12864-018-4899-z.

Abstract

BACKGROUND

Flax (Linum usitatissimum. L) is an ancient oilseed and natural fiber crop. It could be divided into three categories by use, namely oil flax, fiber flax and oil-fiber dual purpose (OF). Cultivated flax is widely used in the food and textile industry. It is of great significance to elucidate the genetic characteristics of flax collections for accelerating the process of breeding improvement in this dual purpose crop. With the development of next-generation sequencing, we can use new methods, such as SLAF-seq (specific-locus amplified fragment sequencing), to decode unknown genomes of species. In this study, a high-through sequencing of flax collections using SLAF-seq was conducted. The evolutionary tendency was defined and candidate genes associated with agronomic traits of flax species were identified by Genome-Wide Association Studying (GWAS).

RESULTS

A flax collection consisting of 224 varieties were sequenced by SLAF-seq. In total, 346,639 SLAF tags were developed from all accessions, with an average sequencing depth of 7.19 for each accession. A total of 584,987 SNPs (single nucleotide polymorphism) with an MAF > 0.05 were identified from these SLAFs. The population structure division and phylogenetic analysis indicated a strong divergence among three kinds of flax groups. The genome-wide variation uncovered that oil flax had the highest genetic diversity and was considered to be the ancestor of fiber flax and oil-fiber flax. Sixteen associated peak SNPs for six traits were obtained by GWAS of oil-related traits using EMMAX (efficient mixed-model association eXpedited). Candidate genes and their related pathway were evaluated. A new GWAS was developed for fiber properties using the GLM (General linear model) model and a number of loci were identified.

CONCLUSIONS

To our knowledge, this is the first study on discovery multiple loci for important agronomic traits of flax species using GWAS strategy. These results will provide the highest possibility of incorporating both high fiber and good oil traits in a single variety.

摘要

背景

亚麻(Linum usitatissimum. L)是一种古老的油籽和天然纤维作物。根据用途,它可以分为三类,即油用亚麻、纤维用亚麻和油纤两用(OF)。栽培亚麻广泛应用于食品和纺织工业。阐明亚麻品种的遗传特征对于加速这种两用作物的育种改良进程具有重要意义。随着下一代测序技术的发展,我们可以使用 SLAF-seq(特异位点扩增片段测序)等新方法来解码物种的未知基因组。本研究利用 SLAF-seq 对亚麻品种进行了高通量测序。通过全基因组关联研究(GWAS)定义了进化趋势,并鉴定了与亚麻物种农艺性状相关的候选基因。

结果

通过 SLAF-seq 对 224 个品种的亚麻进行了测序。从所有材料中共开发了 346639 个 SLAF 标签,每个材料的平均测序深度为 7.19。从这些 SLAFs 中鉴定出了 584987 个 MAF>0.05 的 SNP(单核苷酸多态性)。群体结构划分和系统发育分析表明,三种亚麻群体之间存在很强的分化。全基因组变异揭示出油用亚麻具有最高的遗传多样性,被认为是纤维亚麻和油纤两用亚麻的祖先。通过 EMMAX(高效混合模型关联 eXpedited)对油相关性状进行 GWAS 获得了 6 个性状的 16 个关联峰 SNP。评估了候选基因及其相关途径。利用 GLM(广义线性模型)模型对纤维特性进行了新的 GWAS,鉴定了多个位点。

结论

据我们所知,这是首次利用 GWAS 策略发现亚麻属重要农艺性状的多个位点。这些结果将提供将高纤维和良好油质特性整合到单一品种中的最大可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/250c/6029072/8c949d6f0018/12864_2018_4899_Fig1_HTML.jpg

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