首页> 外文期刊>Plant Molecular Biology >A genome-scale integrated approach aids in genetic dissection of complex flowering time trait in chickpea
【24h】

A genome-scale integrated approach aids in genetic dissection of complex flowering time trait in chickpea

机译:基因组规模的整合方法有助于鹰嘴豆复杂开花时间性状的遗传解剖

获取原文
获取原文并翻译 | 示例
           

摘要

A combinatorial approach of candidate gene-based association analysis and genome-wide association study (GWAS) integrated with QTL mapping, differential gene expression profiling and molecular haplotyping was deployed in the present study for quantitative dissection of complex flowering time trait in chickpea. Candidate gene-based association mapping in a flowering time association panel (92 diverse desi and kabuli accessions) was performed by employing the genotyping information of 5724 SNPs discovered from 82 known flowering chickpea gene orthologs of Arabidopsis and legumes as well as 832 gene-encoding transcripts that are differentially expressed during flower development in chickpea. GWAS using both genome-wide GBS- and candidate gene-based genotyping data of 30,129 SNPs in a structured population of 92 sequenced accessions (with 200-250 kb LD decay) detected eight maximum effect genomic SNP loci (genes) associated (34 % combined PVE) with flowering time. Six flowering time-associated major genomic loci harbouring five robust QTLs mapped on a high-resolution intra-specific genetic linkage map were validated (11.6-27.3 % PVE at 5.4-11.7 LOD) further by traditional QTL mapping. The flower-specific expression, including differential up- and down-regulation (> three folds) of eight flowering time-associated genes (including six genes validated by QTL mapping) especially in early flowering than late flowering contrasting chickpea accessions/mapping individuals during flower development was evident. The gene haplotype-based LD mapping discovered diverse novel natural allelic variants and haplotypes in eight genes with high trait association potential (41 % combined PVE) for flowering time differentiation in cultivated and wild chickpea. Taken together, eight potential known/candidate flowering time-regulating genes [efl1 (early flowering 1), FLD (Flowering locus D), GI (GIGANTEA), Myb (Myeloblastosis), SFH3 (SEC14-like 3), bZIP (basic-leucine zipper), bHLH (basic helix-loop-helix) and SBP (SQUAMOSA promoter binding protein)], including novel markers, QTLs, alleles and haplotypes delineated by aforesaid genome-wide integrated approach have potential for marker-assisted genetic improvement and unravelling the domestication pattern of flowering time in chickpea.
机译:本研究采用基于候选基因的关联分析和全基因组关联研究(GWAS)结合QTL定位,差异基因表达谱分析和分子单倍型分析的组合方法,对鹰嘴豆复杂的开花时间性状进行定量解剖。通过利用从拟南芥和豆类的82种已知的开花鹰嘴豆基因直系同源物中发现的5724个SNP的基因分型信息,在开花时间关联面板(92种不同的desi和kabuli入种)中进行基于候选基因的关联作图。在鹰嘴豆的花发育过程中差异表达。 GWAS使用全基因组的GBS和基于候选基因的基因分型数据,对92个测序登录品(具有200-250 kb LD衰变)的结构化群体中的30,129个SNP进行了基因检测,共检测到八个相关的最大基因组SNP位点(基因) PVE)与开花时间。通过传统的QTL作图进一步验证了六个开花时间相关的主要基因组位点,这些基因座包含五个高分辨率QTL映射在高分辨率种内遗传连锁图上(在5.4-11.7 LOD时PVE为11.6-27.3%)。特定于花的表达,包括八个与开花时间相关的基因(包括通过QTL作图验证的六个基因)的差异上调和下调(> 3倍),特别是在早开花期,而不是晚开花的鹰嘴豆种质/作图个体发展是明显的。基于基因单倍型的LD作图在八个具有高性状关联潜力(41%结合PVE)的基因中发现了多种新颖的自然等位基因变体和单倍型,用于栽培和野生鹰嘴豆的开花时间分化。合计八个潜在的已知/候选开花时间调控基因[efl1(早期开花1),FLD(开花轨迹D),GI(GIGANTEA),Myb(成纤维细胞病),SFH3(SEC14-like 3),bZIP(基本-亮氨酸拉链),bHLH(基本螺旋-环-螺旋)和SBP(SQUAMOSA启动子结合蛋白)],包括通过上述全基因组整合方法描绘的新型标记,QTL,等位基因和单倍型,具有潜在的标记辅助遗传改良和解体鹰嘴豆开花时间的驯化模式。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号