宿主全基因组序列数据代表了一种尚未开发的资源,用于表征附属寄生虫多样性
Sarah Nichols1, Andrea Estandía2, Catherine M Young3
1Life Sciences, Natural History Museum, London, United Kingdom; Department of Biology, University of Oxford, Oxford, United Kingdom.
International journal for parasitology
|January 8, 2026
概括
重用全基因组序列 (WGS) 数据是一种具有成本效益的方法,用于识别各种真核生物寄生虫. 这种方法对宿主寄生虫相互作用提供了比18S元编码更深入的见解,该元编码未能检测到关键的寄生虫群体.
科学领域:
- 寄生虫学的寄生虫学
- 基因组学就是基因组学.
- 疾病生态学 疾病生态学
背景情况:
- 寄生虫在生态和进化上具有重要意义,但它们的表征通常具有挑战性和昂贵.
- 高通量测序 (HTS) 产生了丰富的全基因组测序 (WGS) 数据,通常可在公共存储库中获得.
- 现有的WGS数据代表了用于识别宿主相关寄生虫的不足资源.
研究的目的:
- 调查挖掘内源性真核寄生虫现有的WGS数据的实用性.
- 将WGS数据中的寄生虫检测与18S元编码,显微镜和PCR进行比较.
- 建立一个利用WGS数据在宿主寄生虫相互作用研究中的框架.
主要方法:
- 分析来自银眼 (Zosterops lateralis) 的WGS数据,以检测意外捕获的寄生虫DNA.
- 与WGS寄生虫检测与18S元编码的比较.
- 使用传统显微镜验证血液涂抹和针对性多重聚合酶链反应 (PCR) 检测血类寄生虫.
主要成果:
- 采矿WGS数据确定了最广泛的寄生虫种类.
- 检测出血类寄生虫在显微镜,多重PCR和WGS数据中是一致的.
- 18S元编码无法检测出血类寄生虫.
结论:
- 现有的WGS数据集是估计内寄生虫多样性的有价值,具有成本效益的资源.
- 与metabarcoding相比,WGS数据挖掘可以更好地了解寄生虫的多样性.
- 重用WGS数据为研究宿主-寄生虫相互作用和疾病生态学提供了强大的工具.
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