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一张基于高分辨率插入缺失(InDel)标记的整合遗传图谱鉴定出了鹰嘴豆荚数和种子产量的主要数量性状基因座。

A High-Resolution InDel (Insertion-Deletion) Markers-Anchored Consensus Genetic Map Identifies Major QTLs Governing Pod Number and Seed Yield in Chickpea.

作者信息

Srivastava Rishi, Singh Mohar, Bajaj Deepak, Parida Swarup K

机构信息

National Institute of Plant Genome Research New Delhi, India.

National Bureau of Plant Genetic Resources Regional Station Shimla, India.

出版信息

Front Plant Sci. 2016 Sep 16;7:1362. doi: 10.3389/fpls.2016.01362. eCollection 2016.

Abstract

Development and large-scale genotyping of user-friendly informative genome/gene-derived InDel markers in natural and mapping populations is vital for accelerating genomics-assisted breeding applications of chickpea with minimal resource expenses. The present investigation employed a high-throughput whole genome next-generation resequencing strategy in low and high pod number parental accessions and homozygous individuals constituting the bulks from each of two inter-specific mapping populations [(Pusa 1103 × ILWC 46) and (Pusa 256 × ILWC 46)] to develop non-erroneous InDel markers at a genome-wide scale. Comparing these high-quality genomic sequences, 82,360 InDel markers with reference to genome and 13,891 InDel markers exhibiting differentiation between low and high pod number parental accessions and bulks of aforementioned mapping populations were developed. These informative markers were structurally and functionally annotated in diverse coding and non-coding sequence components of genome/genes of chickpea. The functional significance of regulatory and coding (frameshift and large-effect mutations) InDel markers for establishing marker-trait linkages through association/genetic mapping was apparent. The markers detected a greater amplification (97%) and intra-specific polymorphic potential (58-87%) among a diverse panel of cultivated , and wild accessions even by using a simpler cost-efficient agarose gel-based assay implicating their utility in large-scale genetic analysis especially in domesticated chickpea with narrow genetic base. Two high-density inter-specific genetic linkage maps generated using aforesaid mapping populations were integrated to construct a consensus 1479 InDel markers-anchored high-resolution (inter-marker distance: 0.66 cM) genetic map for efficient molecular mapping of major QTLs governing pod number and seed yield per plant in chickpea. Utilizing these high-density genetic maps as anchors, three major genomic regions harboring each of pod number and seed yield robust QTLs (15-28% phenotypic variation explained) were identified on chromosomes 2, 4, and 6. The integration of genetic and physical maps at these QTLs mapped on chromosomes scaled-down the long major QTL intervals into high-resolution short pod number and seed yield robust QTL physical intervals (0.89-2.94 Mb) which were essentially got validated in multiple genetic backgrounds of two chickpea mapping populations. The genome-wide InDel markers including natural allelic variants and genomic loci/genes delineated at major six especially in one colocalized novel congruent robust pod number and seed yield robust QTLs mapped on a high-density consensus genetic map were found most promising in chickpea. These functionally relevant molecular tags can drive marker-assisted genetic enhancement to develop high-yielding cultivars with increased seed/pod number and yield in chickpea.

摘要

在自然群体和作图群体中开发用户友好型、信息丰富的基因组/基因衍生插入缺失(InDel)标记并进行大规模基因分型,对于以最少的资源消耗加速鹰嘴豆的基因组辅助育种应用至关重要。本研究采用高通量全基因组二代重测序策略,对低荚数和高荚数的亲本材料以及来自两个种间作图群体[(Pusa 1103×ILWC 46)和(Pusa 256×ILWC 46)]的纯合个体构建的混合池进行测序,以在全基因组范围内开发无误的InDel标记。通过比较这些高质量的基因组序列,开发了82360个基于参考基因组的InDel标记,以及13891个在低荚数和高荚数亲本材料及上述作图群体的混合池之间表现出差异的InDel标记。这些信息丰富的标记在鹰嘴豆基因组/基因的不同编码和非编码序列元件中进行了结构和功能注释。调控型和编码型(移码和大效应突变)InDel标记通过关联/遗传作图建立标记-性状连锁的功能意义显著。即使使用更简单、成本效益更高的琼脂糖凝胶检测方法,这些标记在不同的栽培品种和野生材料中也检测到了更高的扩增率(97%)和种内多态性潜力(58 - 87%),这表明它们在大规模遗传分析中具有实用性,特别是在遗传基础狭窄的驯化鹰嘴豆中。利用上述作图群体构建的两个高密度种间遗传连锁图谱进行整合,构建了一个由1479个InDel标记锚定的高分辨率(标记间距离:0.66 cM)遗传图谱,用于高效分子定位控制鹰嘴豆荚数和单株种子产量的主要数量性状位点(QTL)。以这些高密度遗传图谱为锚定,在第2、4和6号染色体上鉴定出了三个主要的基因组区域,每个区域都含有控制荚数和种子产量的稳健QTL(解释了15 - 28%的表型变异)。在这些定位在染色体上的QTL处整合遗传图谱和物理图谱,将长的主要QTL区间缩小为高分辨率的短荚数和种子产量稳健QTL物理区间(0.89 - 2.94 Mb),这在两个鹰嘴豆作图群体的多个遗传背景中得到了验证。在高密度一致性遗传图谱上定位的全基因组InDel标记,包括自然等位变异以及在六个主要区域特别是在一个共定位的新型一致稳健荚数和种子产量稳健QTL中描绘的基因组位点/基因,在鹰嘴豆中显示出最有前景的应用。这些功能相关的分子标签可以推动标记辅助遗传改良,以培育出鹰嘴豆种子/荚数和产量增加的高产品种。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bddc/5025440/4150b78dc03d/fpls-07-01362-g0001.jpg

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本文引用的文献

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