生物技术通报 ›› 2023, Vol. 39 ›› Issue (6): 141-148.doi: 10.13560/j.cnki.biotech.bull.1985.2022-1386

• 技术与方法 • 上一篇    下一篇

基于SLAF-seq技术的石斛兰SNP标记开发及亲缘关系分析

崔学强(), 黄昌艳, 邓杰玲, 李先民, 李秀玲, 张自斌()   

  1. 广西壮族自治区农业科学院花卉研究所,南宁 530007
  • 收稿日期:2022-11-09 出版日期:2023-06-26 发布日期:2023-07-07
  • 通讯作者: 张自斌,男,博士,副研究员,研究方向:兰科植物育种;E-mail: candou154@126.com
  • 作者简介:崔学强,男,硕士,助理研究员,研究方向:兰科植物分子育种;E-mail: yncuixueqiang@126.com
  • 基金资助:
    广西自然科学基金项目(2020GXNSFBA297021);广西重点研发计划项目(桂科AB21220056);广西农业科学院基本科研业务专项项目(桂农科2021YT133)

SNP Markers Development and Genetic Relationship Analysis of Dendrobium Germplasms Using SLAF-seq Technology

CUI Xue-qiang(), HUANG Chang-yan, DENG Jie-ling, LI Xian-min, LI Xiu-ling, ZHANG Zi-bin()   

  1. Flower Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007
  • Received:2022-11-09 Published:2023-06-26 Online:2023-07-07

摘要:

利用SNP标记技术对收集的石斛兰种质资源进行亲缘关系分析,为新品种选育亲本选择提供理论依据。以60份石斛兰种质资源为对象,用特异性位点扩增片段测序技术(SLAF-seq)对种质进行SNP标记开发及亲缘关系分析。通过对各样品的测序数据进行统计,共获得157.34 Mb Clean Reads数据,各样本Reads数据在576 195-5 359 710 之间。样本平均测序质量值Q30为93.85%,平均GC含量为40.16%。通过测序数据分析,共获得1 337 217个SLAF标签,标签的平均测序深度为9.63×,其中具多态性的SLAF标签有1 049 638个。共开发得到11 248 186个群体SNP标记,每个样品的SNP 标记数目介于694 015-6 367 379之间,SNP标记完整度为2.71%-24.89%,杂合率为1.13%-5.74%。对群体SNP 过滤,共获得31 499个高度一致性的有效SNP 标记。利用筛选获得的SNP标记构建系统发育树,60份石斛兰种质资源被分为3个亚群,这3个亚群分别包含材料为 Q1:3份,Q2:21份,Q3: 36份。种质聚类结果与形态学分类结果基本一致。利用SLAF-seq技术能高效、精确地开发出适用于石斛兰种质遗传分析的SNP标记,开发的SNP标记可为石斛兰育种、遗传图谱构建、品种鉴定以及农艺性状的关联分析等研究提供分子基础。

关键词: 石斛兰, SLAF-seq, SLAF标签, SNP标记, 群体结构, 发育树, 亲缘关系

Abstract:

The genetic relationship of the collected Dendrobium germplasm resources was analyzed by SNP marker technology to provide theoretical basis for the selection of new varieties breeding parents. Total 60 Dendrobium germplasm resources were used for SNP marker development and genetic relationship analysis using specific-locus amplified fragment sequencing technology(SLAF-seq). The sequencing data of each sample were statistically analyzed, and 157.34 Mb Clean Reads data were obtained. The Reads data of each sample ranged from 576 195 to 5 359 710. The average sequencing quality value(Q30)and GC content of samples was 93.85% and 40.16%. Through sequencing data analysis, a total of 1 337 217 SLAF tags and 1 049 638 polymorphic SLAF tags were obtained. The average sequencing depth of the tags was 9.63×. A total of 11 248 186 population SNP markers were developed. The number of SNP markers in each sample ranged from 694 015 to 6 367 379. The integrity ratio was 2.71% to 24.89%, and the hetloci ratio was 1.13% to 5.74%. The population SNPs were filtered, and a total of 31 499 highly consistent and effective SNP markers were obtained. The phylogenetic tree was constructed by using the SNP markers obtained. The 60 Dendrobium germplasm resources were divided into 3 subgroups. These three subgroups contained germplasm resources: Q1(3), Q2(21), and Q3(36). The results of germplasm clustering were basically consistent with the morphological classification. Using SLAF-seq technology can efficiently and accurately develop SNP markers suitable for the genetic analysis of Dendrobium. The SNP markers developed may provide molecular basis for Dendrobium breeding, genetic map construction, variety identification and association analysis of agronomic traits.

Key words: Dendrobium, SLAF-seq, SLAF tags, SNP marker, population structure, phylogenetic tree, genetic relationship