Exploring microbial functional biodiversity at the protein family level-From metagenomic sequence reads to annotated protein clusters

Metagenomics has enabled accessing the genetic repertoire of natural microbial communities. Metagenome shotgun sequencing has become the method of choice for studying and classifying microorganisms from various environments. To this end, several methods have been developed to process and analyze the...

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Bibliographic Details
Published in:	Frontiers in bioinformatics 2023-03, Vol.3, p.1157956-1157956
Main Authors:	Baltoumas, Fotis A, Karatzas, Evangelos, Paez-Espino, David, Venetsianou, Nefeli K, Aplakidou, Eleni, Oulas, Anastasis, Finn, Robert D, Ovchinnikov, Sergey, Pafilis, Evangelos, Kyrpides, Nikos C, Pavlopoulos, Georgios A
Format:	Article
Language:	eng
Subjects:	biodiversity Bioinformatics cluster annotation metagenomes metatranscriptomes microbial dark matter protein clustering
Online Access:	Get full text
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Summary:	Metagenomics has enabled accessing the genetic repertoire of natural microbial communities. Metagenome shotgun sequencing has become the method of choice for studying and classifying microorganisms from various environments. To this end, several methods have been developed to process and analyze the sequence data from raw reads to end-products such as predicted protein sequences or families. In this article, we provide a thorough review to simplify such processes and discuss the alternative methodologies that can be followed in order to explore biodiversity at the protein family level. We provide details for analysis tools and we comment on their scalability as well as their advantages and disadvantages. Finally, we report the available data repositories and recommend various approaches for protein family annotation related to phylogenetic distribution, structure prediction and metadata enrichment.
ISSN:	2673-7647 2673-7647