基于全基因组测序数据,用于快速识别Xanthomonas citri的多部位序列类型化方案
Efenaide B Okoh1,2, Michael Payne3, Ruiting Lan3
1Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW 2751, Australia.
Phytopathology
|April 26, 2024
概括
对于Xanthomonas citri来说,一个新的七基因多基因序列类型 (MLST) 方案改善了病变病毒的分类. 这种强大的工具有助于使用全基因组测序数据对X. citri的分类学修订.
科学领域:
- 细菌学 细菌学是一门学科.
- 基因组学就是基因组学.
- 人类遗传学 是一个学科.
背景情况:
- 桑托莫纳斯是一种植物病原体,有14个重新分类的亚种/病变病毒,导致各种植物疾病.
- 全基因组测序 (WGS) 为 X. citri. 的流行病学和进化研究提供了高的区分能力.
- WGS 促进了多位置序列类型 (MLST) 方案的改进.
研究的目的:
- 为X. citri pathovar分类开发一个强大的七基因MLST方案.
- 在公共数据库中识别错误分类的Xanthomonas分离物.
- 为 X. citri. 提供一个全面的分类学修订工具.
主要方法:
- 利用NCBI RefSeq的基因组序列来开发一个七基因MLST方案.
- 通过使用开发的MLST方案,从NCBI GenBank分析了2,911个Xanthomonas组件.
- 相关的MLST分类与从92个保存的基因推断的基因位置.
主要成果:
- 开发的MLST方案产生了19种序列类型 (ST),与遗传学分类相关.
- 在NCBI中错误分类的37个分离物中确定了15种新型ST.
- 分类 545 X. citri 组合成 34 个 ST,与 MLST 相对应的遗传学分析.
- 观察到不同病变病毒共享相同ST的实例,表明潜在的分类重叠.
结论:
- 开发的MLST方案是通过WGS.快速X. citri pathovar分类的可靠工具.
- 这些发现凸显了对当前X. citri pathovar分类的有效性进行进一步调查的必要性.
- 这个MLST计划支持对X. citri pathovars进行全面的分类学修订.
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