The development and validation of a genotyping-by-target sequencing chip for fungal population genetic analysis.

IF 6.4
Haohao Yan, Zhe Ma, Qiang Yao, Shiqin Cao, Qiuzhen Jia, Jiaqi Li, Jie Zhao, Weiyi Yan, Juhong Ma, Wen Chen, Bo Zhang, Xuezhen Ma, Xiaojie Wang, Dejun Han, Zhensheng Kang, Lili Huang, Qingdong Zeng
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引用次数: 0

Abstract

Advanced genotyping technologies for understanding the genetic intricacies of fungal pathogens have broad applications in crop protection. Here, we introduce a novel genotyping-by-target sequencing (GBTS) chip, a versatile tool designed for comprehensive genetic analysis of fungal populations. This technology overcomes key limitations of traditional molecular marker-based approaches by providing a more efficient, economic, and streamlined solution while bypassing the need for labor-intensive pathogen culturing. We demonstrate its utility by applying it to profile Puccinia striiformis f. sp. tritici (Pst), the causal agent of wheat stripe rust. Our analysis involved 225 infected leaves collected from wheat fields in the northwest oversummering region for Pst in China. We delineated three genetic groups and revealed frequent gene flow, with closer connectivity between Qinghai and Gansu than either province with Ningxia, a pattern consistent with wind trajectory models. These findings illustrate a highly connected regional epidemic system and highlight the value of the GBTS chip for genomic epidemiology. The methodology established here provides a scalable framework for population genetic studies in other fungal pathogens, promising to enhance disease monitoring and management across agricultural systems.

用于真菌群体遗传分析的基因分型测序芯片的研制与验证。
了解真菌病原体遗传复杂性的先进基因分型技术在作物保护中有着广泛的应用。在这里,我们介绍了一种新的基因分型的目标测序(GBTS)芯片,一个多功能的工具,设计用于真菌群体的综合遗传分析。该技术克服了传统基于分子标记方法的主要局限性,提供了更高效、更经济、更精简的解决方案,同时绕过了对劳动密集型病原体培养的需要。我们通过应用它来分析小麦条锈病的致病因子——小麦条锈病锈菌(Pst)来证明它的实用性。我们对中国西北过夏地区的225片小麦叶片进行了Pst分析。我们描述了三个遗传群,并揭示了频繁的基因流动,青海和甘肃之间的连通性比任何一个省与宁夏之间的连通性更紧密,这一模式与风轨迹模型一致。这些发现说明了一个高度联系的区域流行病系统,并突出了GBTS芯片在基因组流行病学中的价值。这里建立的方法为其他真菌病原体的群体遗传研究提供了一个可扩展的框架,有望加强整个农业系统的疾病监测和管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
3.10
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