Department of Zoology, University of Otago, P.O. Box 56, Dunedin 9054, New Zealand.
Department of Zoology, University of Otago, P.O. Box 56, Dunedin 9054, New Zealand.
Int J Parasitol. 2019 May;49(6):429-435. doi: 10.1016/j.ijpara.2018.12.005. Epub 2019 Feb 21.
The use of genetic information is now fundamental in parasite taxonomy and systematics, for resolving parasite phylogenies, discovering cryptic species, and elucidating patterns of gene flow among parasite populations. The accumulation of available gene sequences per geographical area or per parasite taxonomic group is likely proportional to species richness, but not without some biases. Certain areas and certain taxonomic groups receive more research effort than others, possibly causing a deficit in the relative number of parasite species being characterized genetically in some areas or taxonomic groups. Here, we use data on the number of parasite records per country or helminth family from the London Natural History Museum host-parasite database, and matching data on the number of gene sequences available from the National Center for Biotechnology Information (NCBI) GenBank database, to determine how available gene sequences scale with species richness across countries or parasitic helminth families. Our quantitative analysis identified countries/regions of the world and helminth families that have received the most effort in genetic research. More importantly, it allowed us to generate lists (based on residuals from the statistical model) of the 20 countries/regions and the 20 helminth families with the largest deficit in available gene sequences relative to their helminth species richness. We propose these lists as useful guides toward future allocation of effort to maximise advances in parasite biodiscovery, systematics and population structure.
遗传信息的使用现在是寄生虫分类学和系统学的基础,可用于解决寄生虫系统发育、发现隐生种,并阐明寄生虫种群之间的基因流动模式。每个地理区域或寄生虫分类群的可用基因序列的积累可能与物种丰富度成正比,但并非没有一些偏差。某些地区和某些分类群比其他地区和分类群受到更多的研究关注,这可能导致某些地区或分类群的寄生虫物种在遗传特征方面的相对数量不足。在这里,我们使用伦敦自然历史博物馆宿主-寄生虫数据库中每个国家或寄生虫科的寄生虫记录数量的数据,以及国家生物技术信息中心(NCBI)GenBank 数据库中可用基因序列数量的匹配数据,来确定可用基因序列如何在国家或寄生性蠕虫科之间随物种丰富度而变化。我们的定量分析确定了在遗传研究中投入最多精力的世界国家/地区和寄生虫科。更重要的是,它使我们能够根据统计模型的残差生成可用基因序列相对于寄生虫物种丰富度存在最大缺陷的 20 个国家/地区和 20 个寄生虫科的列表。我们建议将这些列表作为未来分配努力的有用指南,以最大限度地推进寄生虫生物发现、系统发育和种群结构的研究。