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用于遗传多样性和群体结构分析的新型微卫星标记开发的九个基因组的比较分析。

Comparative analysis of nine genomes for the development of novel microsatellite markers for genetic diversity and population structure analysis.

作者信息

Kashyap Prem Lal, Kumar Sudheer, Kumar Ravi Shekhar, Sharma Anju, Khanna Annie, Raj Shubham, Jasrotia Poonam, Singh Gyanendra

机构信息

ICAR-Indian Institute of Wheat and Barley Research (IIWBR), Karnal, India.

出版信息

Front Microbiol. 2023 Jul 13;14:1227750. doi: 10.3389/fmicb.2023.1227750. eCollection 2023.

DOI:10.3389/fmicb.2023.1227750
PMID:37520344
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10374028/
Abstract

Karnal bunt (KB; ) is the prime quarantine concern for quality wheat production throughout the world. The most effective approach to dealing with this biotic stress is to breed KB-resistant wheat varieties, which warrants a better understanding of genome architecture. In India, the North Western Plain Zone is the prime hot spot for KB disease, but only limited efforts have been made to decipher diversity at the genomic level. Microsatellites offer a powerful and robust typing system for the characterization and genetic diversity assessment of plant pathogens. At present, inadequate information is available with respect to the development of genome-derived markers for revealing genetic variability in populations. In current research, nine complete genome sequences of (PSWKBGH_1, PSWKBGH_2, PSWKBGD_1_3, RAKB_UP_1, TiK_1, Tik, DAOMC236408, DAOMC236414, and DAOMC236416) that exist in the public domain were explored to know the dynamic distribution of microsatellites. Comparative genome analysis revealed a high level of relative abundance and relative density of microsatellites in the PSWKBGH_1 genome in contrast to other genomes. No significant correlation between microsatellite distribution for GC content and genome size was established. All the genomes showed the dominance of tri-nucleotide motifs, followed by mono-, di-, tetra-, hexa-, and penta-nucleotide motifs. Out of 50 tested markers, 36 showed successful amplification in isolates and produced 52 different alleles. A PCR assay along with analysis of the polymorphic information content (PIC) revealed 10 markers as neutral and polymorphic loci (PIC 0.37). The identified polymorphic SSR loci grouped a geographically distinct population of 50 isolates representing seven Indian regions (Jammu, Himachal Pradesh, Punjab, Haryana, Uttarakhand, Uttar Pradesh, and Rajasthan) into four distinct clusters. The results of the analysis of molecular variance identified 94% genetic variation within the population and 6% among the population. Structure analysis also confirmed the existence of four genetically diverse groups containing admixtures of isolates across populations. In nutshell, the current study was successful in identifying novel, neutral and polymorphic microsatellite markers that will be valuable in offering deep insight into the evolutionary relationship and dynamics of the population for devising effective KB management strategies in wheat.

摘要

Karnal腥黑穗病(KB;)是全球优质小麦生产中首要的检疫问题。应对这种生物胁迫的最有效方法是培育抗KB的小麦品种,这需要更好地了解基因组结构。在印度,西北平原区是KB病的主要热点地区,但在基因组水平上解析其多样性的工作做得很少。微卫星为植物病原体的特征鉴定和遗传多样性评估提供了一个强大而可靠的分型系统。目前,关于开发用于揭示群体遗传变异性的基因组衍生标记的信息不足。在当前的研究中,我们探索了公开可用的9个完整的基因组序列(PSWKBGH_1、PSWKBGH_2、PSWKBGD_1_3、RAKB_UP_1、TiK_1、Tik、DAOMC236408、DAOMC236414和DAOMC236416),以了解微卫星的动态分布。比较基因组分析表明,与其他基因组相比,PSWKBGH_1基因组中微卫星的相对丰度和相对密度较高。未发现微卫星分布与GC含量和基因组大小之间存在显著相关性。所有基因组中三核苷酸基序占主导地位,其次是单核苷酸、二核苷酸、四核苷酸、六核苷酸和五核苷酸基序。在50个测试标记中,36个在分离株中成功扩增,并产生了52个不同的等位基因。一项PCR检测以及多态性信息含量(PIC)分析显示,有10个标记为中性且多态性位点(PIC 0.37)。所鉴定的多态性SSR位点将来自代表印度七个地区(查谟、喜马偕尔邦、旁遮普邦、哈里亚纳邦、北阿坎德邦、北方邦和拉贾斯坦邦)的50个分离株的地理上不同的群体分为四个不同的簇。分子方差分析结果表明,群体内遗传变异占94%,群体间占6%。结构分析也证实了存在四个遗传上不同的群体,这些群体包含不同群体中分离株的混合。简而言之,当前的研究成功地鉴定出了新的、中性且多态性的微卫星标记,这些标记对于深入了解群体的进化关系和动态以制定有效的小麦KB管理策略具有重要价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f391/10374028/1f3f0601d624/fmicb-14-1227750-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f391/10374028/f242649f3631/fmicb-14-1227750-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f391/10374028/f088f3961319/fmicb-14-1227750-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f391/10374028/420b78e2ba69/fmicb-14-1227750-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f391/10374028/64e4976dcf36/fmicb-14-1227750-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f391/10374028/4bcb7f3a3c23/fmicb-14-1227750-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f391/10374028/1f3f0601d624/fmicb-14-1227750-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f391/10374028/f242649f3631/fmicb-14-1227750-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f391/10374028/f088f3961319/fmicb-14-1227750-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f391/10374028/420b78e2ba69/fmicb-14-1227750-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f391/10374028/64e4976dcf36/fmicb-14-1227750-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f391/10374028/4bcb7f3a3c23/fmicb-14-1227750-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f391/10374028/1f3f0601d624/fmicb-14-1227750-g006.jpg

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