Suppr超能文献

用于豆科兵豆属植物(Cajanus cajan L. Millsp.)遗传研究和育种应用的 62K 基因-SNP 芯片阵列。

A 62K genic-SNP chip array for genetic studies and breeding applications in pigeonpea (Cajanus cajan L. Millsp.).

机构信息

ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, 110012, India.

Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.

出版信息

Sci Rep. 2020 Mar 18;10(1):4960. doi: 10.1038/s41598-020-61889-0.

Abstract

Pigeonpea is the second most important pulse legume crop for food and nutritional security of South Asia that requires accelerated breeding using high throughput genomic tools. Single nucleotide polymorphisms (SNPs) are highly suitable markers for this purpose because of their bi-allelic nature, reproducibility and high abundance in the genome. Here we report on development and use of a pigeonpea 62 K SNP chip array 'CcSNPnks' for Affymetrix GeneTitan platform. The array was designed after filtering 645,662 genic-SNPs identified by re-sequencing of 45 diverse genotypes and has 62,053 SNPs from 9629 genes belonging to five different categories, including 4314 single-copy genes unique to pigeonpea, 4328 single-copy genes conserved between soybean and pigeonpea, 156 homologs of agronomically important cloned genes, 746 disease resistance and defense response genes and 85 multi-copy genes of pigeonpea. This fully genic chip has 28.94% exonic, 33.04% intronic, 27.56% 5'UTR and 10.46% 3'UTR SNPs and incorporates multiple SNPs per gene allowing gene haplotype network analysis. It was used successfully for the analysis of genetic diversity and population structure of 95 pigeonpea varieties and high resolution mapping of 11 yield related QTLs for number of branches, pod bearing length and number of seeds per pod in a biparental RIL population. As an accurate high-density genotyping tool, 'CcSNPnks' chip array will be useful for high resolution fingerprinting, QTL mapping and genome wide as well as gene-based association studies in pigeonpea.

摘要

兵豆是南亚地区第二大重要的食用豆科作物,为了实现粮食和营养安全,需要利用高通量基因组工具来加速其育种进程。单核苷酸多态性(SNP)非常适合作为这种目的的标记物,因为它们具有双等位基因的特性、可重复性和在基因组中的高度丰富性。在这里,我们报告了开发和使用一种兵豆 62K SNP 芯片阵列“CcSNPnks”用于 Affymetrix GeneTitan 平台的情况。该阵列是在对 45 个不同基因型进行重测序后,筛选出 645662 个基因 SNP 后设计的,其中包含来自 9629 个基因的 62053 个 SNP,这些基因分为五个不同类别,包括 4314 个兵豆特有的单拷贝基因、4328 个大豆和兵豆之间保守的单拷贝基因、156 个农艺重要克隆基因的同源物、746 个抗病和防御反应基因以及 85 个兵豆的多拷贝基因。这个完全基于基因的芯片包含 28.94%的外显子、33.04%的内含子、27.56%的 5'UTR 和 10.46%的 3'UTR SNP,并整合了每个基因的多个 SNP,允许进行基因单倍型网络分析。该芯片已成功用于 95 个兵豆品种的遗传多样性和群体结构分析,以及在一个双亲和 RIL 群体中对 11 个与分枝数、荚果着生长度和每荚种子数相关的产量性状 QTL 进行高分辨率作图。作为一种准确的高密度基因分型工具,“CcSNPnks”芯片阵列将有助于兵豆的高分辨率指纹图谱、QTL 作图以及全基因组和基于基因的关联研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59a0/7080765/5611dfdfba03/41598_2020_61889_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验