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利用单核苷酸多态性(SNP)标记鉴定印度东海岸地区水稻的核心种质资源多样性面板

Identification of a Diverse Core Set Panel of Rice From the East Coast Region of India Using SNP Markers.

作者信息

Choudhury Debjani Roy, Kumar Ramesh, S Vimala Devi, Singh Kuldeep, Singh N K, Singh Rakesh

机构信息

Division of Genomic Resources, NBPGR, New Delhi, India.

Division of Germplasm Conservation, NBPGR, New Delhi, India.

出版信息

Front Genet. 2021 Nov 25;12:726152. doi: 10.3389/fgene.2021.726152. eCollection 2021.

Abstract

In India, rice ( L.) is cultivated under a variety of climatic conditions. Due to the fragility of the coastal ecosystem, rice farming in these areas has lagged behind. Salinity coupled with floods has added to this trend. Hence, to prevent genetic erosion, conserving and characterizing the coastal rice, is the need of the hour. This work accessed the genetic variation and population structure among 2,242 rice accessions originating from India's east coast comprising Andhra Pradesh, Orissa, and Tamil Nadu, using 36 SNP markers, and have generated a core set (247 accessions) as well as a mini-core set (30 accessions) of rice germplasm. All the 36 SNP loci were biallelic and 72 alleles found with average two alleles per locus. The genetic relatedness of the total collection was inferred using the un-rooted neighbor-joining tree, which grouped all the genotypes (2,242) into three major clusters. Two groups were obtained with a core set and three groups obtained with a mini core set. The mean PIC value of total collection was 0.24, and those of the core collection and mini core collection were 0.27 and 0.32, respectively. The mean heterozygosity and gene diversity of the overall collection were 0.07 and 0.29, respectively, and the core set and mini core set revealed 0.12 and 0.34, 0.20 and 0.40 values, respectively, representing 99% of distinctiveness in the core and mini core sets. Population structure analysis showed maximum population at K = 4 for total collection and core collection. Accessions were distributed according to their population structure confirmed by PCoA and AMOVA analysis. The identified small and diverse core set panel will be useful in allele mining for biotic and abiotic traits and managing the genetic diversity of the coastal rice collection. Validation of the 36-plex SNP assay was done by comparing the genetic diversity parameters across two different rice core collections, i.e., east coast and northeast rice collection. The same set of SNP markers was found very effective in deciphering diversity at different genetic parameters in both the collections; hence, these marker sets can be utilized for core development and diversity analysis studies.

摘要

在印度,水稻(L.)在多种气候条件下种植。由于沿海生态系统的脆弱性,这些地区的水稻种植一直滞后。盐分加上洪水加剧了这一趋势。因此,为防止遗传侵蚀,保护和鉴定沿海水稻是当务之急。这项工作利用36个单核苷酸多态性(SNP)标记,对来自印度东海岸包括安得拉邦、奥里萨邦和泰米尔纳德邦的2242份水稻种质资源的遗传变异和群体结构进行了研究,并构建了一个核心种质集(247份种质)以及一个微型核心种质集(30份种质)。所有36个SNP位点都是双等位基因,共发现72个等位基因,每个位点平均有两个等位基因。利用无根邻接树推断了整个收集材料的遗传相关性,该树将所有基因型(2242个)分为三个主要类群。核心种质集分为两组,微型核心种质集分为三组。整个收集材料的平均多态信息含量(PIC)值为0.24,核心种质集和微型核心种质集的平均PIC值分别为0.27和0.32。整个收集材料的平均杂合度和基因多样性分别为0.07和0.29,核心种质集和微型核心种质集分别显示出0.12和0.34、0.20和0.40的值,分别代表核心种质集和微型核心种质集中99%的独特性。群体结构分析表明,整个收集材料和核心种质集在K = 4时群体数量最多。种质根据其群体结构进行分布,这一点通过主坐标分析(PCoA)和分子方差分析(AMOVA)得到了证实。所鉴定的小型且多样的核心种质集对于挖掘生物和非生物性状的等位基因以及管理沿海水稻收集材料的遗传多样性将是有用的。通过比较两个不同水稻核心种质集(即东海岸水稻收集材料和东北水稻收集材料)的遗传多样性参数,对36重SNP分析进行了验证。发现同一组SNP标记在解析两个收集材料中不同遗传参数的多样性方面非常有效;因此,这些标记集可用于核心种质构建和多样性分析研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d50/8655924/b438fd5f5788/fgene-12-726152-g001.jpg

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