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Molecular approaches to trematode systematics: 'best practice' and implications for future study

机译:吸虫的分子生物学方法:“最佳实践”及其对未来研究的启示

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摘要

To date, morphological analysis has been the cornerstone to trematode systematics. However, since the late-1980s we have seen an increased integration of genetic data to overcome problems encountered when morphological data are considered in isolation. Here, we provide advice regarding the 'best molecular practice' for trematode taxonomy and systematic studies, in an attempt to help unify the field and provide a solid foundation to underpin future work. Emphasis is placed on defining the study goals and recommendations are made regarding sample preservation, extraction methods, and the submission of molecular vouchers. We advocate generating sequence data from all parasite species/host species/geographic location combinations and stress the importance of selecting two independently evolving loci (one ribosomal and one mitochondrial marker). We recommend that loci should be chosen to provide genetic variation suitable to address the question at hand and for which sufficient 'useful' comparative sequence data already exist. Quality control of the molecular data via using proof-reading Taq polymerase, sequencing PCR amplicons using both forward and reverse primers, ensuring that a minimum of 85% overlap exists when constructing consensus sequences, and checking electrophero-grams by eye is stressed. We advise that all genetic results are best interpreted using a holistic biological approach, which considers morphology, host identity, collection locality, and ecology. Finally, we consider what advances next-generation sequencing holds for trematode taxonomy and systematics.
机译:迄今为止,形态分析已成为吸虫系统学的基础。但是,自1980年代后期以来,我们已经看到了遗传数据的整合增加,以克服单独考虑形态数据时遇到的问题。在这里,我们为吸虫分类学和系统研究提供“最佳分子实践”方面的建议,以期帮助统一该领域并为巩固未来的工作奠定坚实的基础。重点放在确定研究目标上,并提出有关样品保存,提取方法和分子凭单提交的建议。我们主张从所有寄生虫物种/宿主物种/地理位置组合生成序列数据,并强调选择两个独立进化的基因座(一个核糖体和一个线粒体标记)的重要性。我们建议应选择基因座,以提供适合解决当前问题的遗传变异,并且已经存在足够的“有用”比较序列数据。通过使用校对的Taq聚合酶,使用正向和反向引物对PCR扩增子进行测序来对分子数据进行质量控制,确保在构建共有序列时至少存在85%的重叠,并强调用肉眼检查电泳图。我们建议使用整体生物学方法最好地解释所有遗传结果,该方法应考虑形态,寄主身份,馆藏位置和生态。最后,我们考虑了下一代测序技术在吸虫分类学和系统学方面的优势。

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