Next-Generation Metagenomics: Methodological Challenges and Opportunities

基因组 数据科学 人类微生物组计划 微生物群 生物 生态学 计算生物学 计算机科学 生物信息学 遗传学 基因
作者
Ilaria Laudadio,Valerio Fulci,Laura Stronati,Claudia Carissimi
出处
期刊:Omics A Journal of Integrative Biology [Mary Ann Liebert, Inc.]
卷期号:23 (7): 327-333 被引量:61
标识
DOI:10.1089/omi.2019.0073
摘要

Metagenomics is not only one of the newest omics system science technologies but also one that has arguably the broadest set of applications and impacts globally. Metagenomics has found vast utility not only in environmental sciences, ecology, and public health but also in clinical medicine and looking into the future, in planetary health. In line with the One Health concept, metagenomics solicits collaboration between molecular biologists, geneticists, microbiologists, clinicians, computational biologists, plant biologists, veterinarians, and other health care professionals. Almost every ecological niche of our planet hosts an extremely diverse community of organisms that are still poorly characterized. Detailed characterization of the features of such communities is instrumental to our comprehension of ecological, biological, and clinical complexity. This expert review article evaluates how metagenomics is improving our knowledge of microbiota composition from environmental to human samples. Furthermore, we offer an analysis of the common technical and methodological challenges and potential pitfalls arising from metagenomics approaches, such as metagenomics study design, data processing, and interpretation. All in all, at this critical juncture of further growth of the metagenomics field, it is time to critically reflect on the lessons learned and the future prospects of next-generation metagenomics science, technology, and conceivable applications, particularly from the standpoint of a metagenomics methodology perspective.
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