Khajuria Yash Paul, Saxena Maneesha S, Gaur Rashmi, Chattopadhyay Debasis, Jain Mukesh, Parida Swarup K, Bhatia Sabhyata
National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, India.
PLoS One. 2015 May 14;10(5):e0125583. doi: 10.1371/journal.pone.0125583. eCollection 2015.
The identification of informative in silico polymorphic genomic and genic microsatellite markers by comparing the genome and transcriptome sequences of crop genotypes is a rapid, cost-effective and non-laborious approach for large-scale marker validation and genotyping applications, including construction of high-density genetic maps. We designed 1494 markers, including 1016 genomic and 478 transcript-derived microsatellite markers showing in-silico fragment length polymorphism between two parental genotypes (Cicer arietinum ICC4958 and C. reticulatum PI489777) of an inter-specific reference mapping population. High amplification efficiency (87%), experimental validation success rate (81%) and polymorphic potential (55%) of these microsatellite markers suggest their effective use in various applications of chickpea genetics and breeding. Intra-specific polymorphic potential (48%) detected by microsatellite markers in 22 desi and kabuli chickpea genotypes was lower than inter-specific polymorphic potential (59%). An advanced, high-density, integrated and inter-specific chickpea genetic map (ICC4958 x PI489777) having 1697 map positions spanning 1061.16 cM with an average inter-marker distance of 0.625 cM was constructed by assigning 634 novel informative transcript-derived and genomic microsatellite markers on eight linkage groups (LGs) of our prior documented, 1063 marker-based genetic map. The constructed genome map identified 88, including four major (7-23 cM) longest high-resolution genomic regions on LGs 3, 5 and 8, where the maximum number of novel genomic and genic microsatellite markers were specifically clustered within 1 cM genetic distance. It was for the first time in chickpea that in silico FLP analysis at genome-wide level was carried out and such a large number of microsatellite markers were identified, experimentally validated and further used in genetic mapping. To best of our knowledge, in the presently constructed genetic map, we mapped highest number of new sequence-based robust microsatellite markers (634) which is an advancement over the previously documented (~300 markers) inter-specific genetic maps. This advanced high-density map will serve as a foundation for large-scale marker validation and genotyping applications, including identification and targeted mapping of trait-specific genes/QTLs (quantitative trait loci) with sub-optimal use of resources and labour in chickpea.
通过比较作物基因型的基因组和转录组序列来鉴定信息丰富的计算机模拟多态性基因组和基因微卫星标记,是一种用于大规模标记验证和基因分型应用(包括构建高密度遗传图谱)的快速、经济高效且省力的方法。我们设计了1494个标记,包括1016个基因组微卫星标记和478个转录本衍生微卫星标记,这些标记在种间参考作图群体的两个亲本基因型(鹰嘴豆ICC4958和网脉鹰嘴豆PI489777)之间显示出计算机模拟片段长度多态性。这些微卫星标记的高扩增效率(87%)、实验验证成功率(81%)和多态性潜力(55%)表明它们可有效用于鹰嘴豆遗传和育种的各种应用。微卫星标记在22个迪西和卡布利鹰嘴豆基因型中检测到的种内多态性潜力(48%)低于种间多态性潜力(59%)。通过在我们之前记录过的基于1063个标记的遗传图谱的八个连锁群(LGs)上分配634个新的信息丰富的转录本衍生和基因组微卫星标记,构建了一个先进的、高密度的、综合的种间鹰嘴豆遗传图谱(ICC4958×PI489777),该图谱有1697个图谱位置,跨度为1061.16厘摩,平均标记间距为0.625厘摩。构建的基因组图谱识别出88个区域,包括LGs 3、5和8上四个主要的(7 - 23厘摩)最长的高分辨率基因组区域,在这些区域中,最多数量的新基因组和基因微卫星标记在1厘摩遗传距离内特异性聚集。这是首次在鹰嘴豆中进行全基因组水平的计算机模拟FLP分析,并且鉴定出了如此大量的微卫星标记,对其进行了实验验证并进一步用于遗传作图。据我们所知,在目前构建的遗传图谱中,我们定位了最多数量的基于新序列的稳健微卫星标记(634个),这相对于之前记录的(约300个标记)种间遗传图谱是一个进步。这个先进的高密度图谱将为大规模标记验证和基因分型应用奠定基础,包括在鹰嘴豆中以次优资源和劳动力使用来鉴定和靶向定位性状特异性基因/数量性状位点(QTLs)。