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Int. J. Mol. Sci. 2018, 19(2), 383; doi:10.3390/ijms19020383

Human Microbiome Acquisition and Bioinformatic Challenges in Metagenomic Studies

CEINGE-Biotecnologie Avanzate, via G. Salvatore 486, 80145 Naples, Italy
Department of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, via Pansini 5, 80131 Naples, Italy
Task Force on Microbiome Studies, University of Naples Federico II, 80131 Naples, Italy
Received: 14 December 2017 / Revised: 21 January 2018 / Accepted: 24 January 2018 / Published: 27 January 2018
(This article belongs to the Special Issue Deciphering the Human Microbiota: Methods and Impact on Human Health)
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The study of the human microbiome has become a very popular topic. Our microbial counterpart, in fact, appears to play an important role in human physiology and health maintenance. Accordingly, microbiome alterations have been reported in an increasing number of human diseases. Despite the huge amount of data produced to date, less is known on how a microbial dysbiosis effectively contributes to a specific pathology. To fill in this gap, other approaches for microbiome study, more comprehensive than 16S rRNA gene sequencing, i.e., shotgun metagenomics and metatranscriptomics, are becoming more widely used. Methods standardization and the development of specific pipelines for data analysis are required to contribute to and increase our understanding of the human microbiome relationship with health and disease status. View Full-Text
Keywords: human microbiome; 16S rRNA analysis; metagenomics; metrascriptomics; data analysis; bioinformatics human microbiome; 16S rRNA analysis; metagenomics; metrascriptomics; data analysis; bioinformatics

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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D’Argenio, V. Human Microbiome Acquisition and Bioinformatic Challenges in Metagenomic Studies. Int. J. Mol. Sci. 2018, 19, 383.

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