新开发的基因组SSR标记揭示了abaca (Musa textilis Nee)的群体结构和遗传特征。

Biotechnologia Pub Date : 2024-12-19 eCollection Date: 2024-01-01 DOI:10.5114/bta.2024.145255
Mariecris Rizalyn R Mendoza, Antonio C Laurena, Maria Genaleen Q Diaz, Eureka Teresa M Ocampo, Tonette P Laude, Antonio G Lalusin
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摘要

Abaca (Musa texilis Nee)是马尼拉麻纤维的主要来源,是该国重要的工业产品。以前的研究依赖于为其他Musa物种或遥远的属(如水稻)设计的分子标记,限制了准确的遗传表征和种质资源保护。为了解决这个问题,我们基于Galvez等人(2021)最近发布的Abaca var. Abuab全基因组序列组装开发了50个基因组特异性分子标记。多态性较高的标记有28个,平均PIC值为0.78。群体分析显示,杂合度为0.428,遗传多样性中等;α值为0.0735,F - stp值为0.0815,遗传分化中等。由DARwin和STRUCTURE软件生成的聚类分析具有91%的相似性,确定了四个聚类。新标记还能区分出6个同时具有abaca和banana形态特征的Musa材料。使用人口结构分析解决了由于相同或倒置的名称而导致的样本识别差异。分子变异分析表明,4个亚种间的变异率为12%,亚种内的变异率为88%,表明亚种间存在近期分化。我们的研究使用准确、稳健、经济、计算简单的基因组特异性标记,强调了abaca收集中的多样性、身份和遗传变异。这些标记是abaca遗传研究的关键,包括性状标记作图和即使在表型差异可能很微妙的幼年期也能进行分化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Newly developed genomic SSR markers revealed the population structure and genetic characteristics of abaca (Musa textilis Nee).

Abaca (Musa textilis Nee) is the primary source of manila hemp fiber, a vital industrial product for the country. Previous studies have relied on molecular markers designed for other Musa species or distant genera like rice, limiting accurate genetic characterization and germplasm conservation. To address this, we developed 50 genome-specific molecular markers based on the recently released whole genome sequence assembly of Abaca var. Abuab by Galvez et al. (2021). Among these markers, 28 showed high polymorphism, with an average PIC value of 0.78. Population analysis revealed a heterozygosity of 0.428, indicating moderate genetic diversity, supported by an alpha value of 0.0735 and an F stp value of 0.0815, which suggests moderate genetic differentiation among abaca accessions. Cluster analyses, generated by DARwin and STRUCTURE software with 91% similarity, identified four clusters. The new markers were also able to distinguish six Musa accessions exhibiting morphological traits of both abaca and banana. Discrepancies in sample identification due to identical or inverted names were resolved using population structure analysis. Molecular variance analysis showed a 12% variance among the four abaca subpopulations and 88% within populations, suggesting recent divergence. Our study highlights the diversity, identity, and genetic variation within the abaca collection using accurate, robust, cost-effective, and computationally simple genome-specific markers. These markers are pivotal for genetic studies of abaca, including traitmarker mapping and the differentiation of accessions even in the juvenile stage, when phenotypic differences may be subtle.

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