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利用微卫星标记物在芭蕉属中进行高效基因型分析的平台。

A platform for efficient genotyping in Musa using microsatellite markers.

机构信息

Centre of the Region Haná for Biotechnological and Agricultural Research , Institute of Experimental Botany , Sokolovská 6, Olomouc CZ-77200 , Czech Republic.

出版信息

AoB Plants. 2011;2011:plr024. doi: 10.1093/aobpla/plr024. Epub 2011 Aug 22.

DOI:10.1093/aobpla/plr024
PMID:22476494
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3185971/
Abstract

BACKGROUND AND AIMS

Bananas and plantains (Musa spp.) are one of the major fruit crops worldwide with acknowledged importance as a staple food for millions of people. The rich genetic diversity of this crop is, however, endangered by diseases, adverse environmental conditions and changed farming practices, and the need for its characterization and preservation is urgent. With the aim of providing a simple and robust approach for molecular characterization of Musa species, we developed an optimized genotyping platform using 19 published simple sequence repeat markers.

METHODOLOGY

The genotyping system is based on 19 microsatellite loci, which are scored using fluorescently labelled primers and high-throughput capillary electrophoresis separation with high resolution. This genotyping platform was tested and optimized on a set of 70 diploid and 38 triploid banana accessions.

PRINCIPAL RESULTS

The marker set used in this study provided enough polymorphism to discriminate between individual species, subspecies and subgroups of all accessions of Musa. Likewise, the capability of identifying duplicate samples was confirmed. Based on the results of a blind test, the genotyping system was confirmed to be suitable for characterization of unknown accessions.

CONCLUSIONS

Here we report on the first complex and standardized platform for molecular characterization of Musa germplasm that is ready to use for the wider Musa research and breeding community. We believe that this genotyping system offers a versatile tool that can accommodate all possible requirements for characterizing Musa diversity, and is economical for samples ranging from one to many accessions.

摘要

背景与目的

香蕉和大蕉（Musa spp.）是全球主要的水果作物之一，被公认为数百万人的主食。然而，由于疾病、不利的环境条件和耕作方式的改变，这种作物丰富的遗传多样性正面临威胁，因此对其进行特征描述和保护迫在眉睫。本研究旨在为鉴定 Musa 种提供一种简单而稳健的分子特征分析方法，我们利用已发表的 19 个简单重复序列标记开发了一个优化的基因分型平台。

方法

该基因分型系统基于 19 个微卫星标记，利用荧光标记引物和高通量毛细管电泳分离进行评分，具有高分辨率。该基因分型平台在 70 个二倍体和 38 个三倍体香蕉品种上进行了测试和优化。

主要结果

本研究中使用的标记组合提供了足够的多态性，可以区分个体物种、亚种和所有 Musa 品种的亚群。同样，也证实了识别重复样本的能力。基于盲测结果，证实该基因分型系统适合鉴定未知品种。

结论

本文报告了第一个用于鉴定 Musa 种质资源的复杂且标准化的分子特征分析平台，可供更广泛的 Musa 研究和育种界使用。我们相信，该基因分型系统是一种通用工具，可以满足鉴定 Musa 多样性的所有可能要求，对于一到多个样本都具有经济可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25f9/3185971/8602bdfc6ab7/plr02404.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25f9/3185971/09caf569d9ce/plr02401.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25f9/3185971/16c2a276efbc/plr02402.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25f9/3185971/d0aa1900ba0c/plr02403.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25f9/3185971/8602bdfc6ab7/plr02404.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25f9/3185971/09caf569d9ce/plr02401.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25f9/3185971/16c2a276efbc/plr02402.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25f9/3185971/d0aa1900ba0c/plr02403.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25f9/3185971/8602bdfc6ab7/plr02404.jpg

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