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香蕉遗传多样性和群体结构分析的全基因组新基因微卫星标记资源开发与验证。

Genome-Wide Novel Genic Microsatellite Marker Resource Development and Validation for Genetic Diversity and Population Structure Analysis of Banana.

机构信息

Institute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Tianhe District, Guangzhou 510640, China.

Department of Genetics, University of Leicester, Leicester LE1 7RH, UK.

出版信息

Genes (Basel). 2020 Dec 9;11(12):1479. doi: 10.3390/genes11121479.

Abstract

Trait tagging through molecular markers is an important molecular breeding tool for crop improvement. SSR markers encoded by functionally relevant parts of a genome are well suited for this task because they may be directly related to traits. However, a limited number of these markers are known for spp. Here, we report 35136 novel functionally relevant SSR markers (FRSMs). Among these, 17,561, 15,373 and 16,286 FRSMs were mapped in-silico to the genomes of , and , respectively. A set of 273 markers was validated using eight accessions of spp., from which 259 markers (95%) produced a PCR product of the expected size and 203 (74%) were polymorphic. In-silico comparative mapping of FRSMs onto and related species indicated sequence-based orthology and synteny relationships among the chromosomes of and other plant species. Fifteen FRSMs were used to estimate the phylogenetic relationships among 50 banana accessions, and the results revealed that all banana accessions group into two major clusters according to their genomic background. Here, we report the first large-scale development and characterization of functionally relevant SSR markers. We demonstrate their utility for germplasm characterization, genetic diversity studies, and comparative mapping in spp. and other monocot species. The sequences for these novel markers are freely available via a searchable web interface called Musa Marker Database.

摘要

通过分子标记进行性状标记是作物改良的重要分子育种工具。由基因组中功能相关部分编码的 SSR 标记非常适合这项任务,因为它们可能与性状直接相关。然而,对于 spp. 来说,已知的这种标记数量有限。在这里,我们报告了 35136 个新的功能相关 SSR 标记(FRSMs)。其中,17561、15373 和 16286 个 FRSMs 分别在 、 和 的基因组中进行了计算机定位。使用 spp. 的 8 个品系对 273 个标记进行了验证,其中 259 个标记(95%)产生了预期大小的 PCR 产物,203 个标记(74%)具有多态性。FRSMs 在计算机上与 和相关物种的比较作图表明, 和其他植物物种的染色体之间存在基于序列的同源性和同线性关系。使用 15 个 FRSMs 来估计 50 个香蕉品系的系统发育关系,结果表明,所有香蕉品系根据其基因组背景分为两个主要聚类。在这里,我们报告了第一个大规模开发和鉴定功能相关的 SSR 标记。我们证明了它们在种质鉴定、遗传多样性研究和 spp. 及其他单子叶植物物种中的比较作图中的用途。这些新标记的序列可通过名为 Musa Marker Database 的可搜索网络界面免费获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7f1/7763637/7467900d81cb/genes-11-01479-g001.jpg

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