title: Environmental microbiology through the lens of high-throughput DNA sequencing: synopsis of current platforms and bioinformatics approaches.
abstract: The incursion of High-Throughput Sequencing (HTS) in environmental microbiology brings unique opportunities and challenges. HTS now allows a high-resolution exploration of the vast taxonomic and metabolic diversity present in the microbial world, which can provide an exceptional insight on global ecosystem functioning, ecological processes and evolution. This exploration has also economic potential, as we will have access to the evolutionary innovation present in microbial metabolisms, which could be used for biotechnological development. HTS is also challenging the research community, and the current bottleneck is present in the data analysis side. At the moment, researchers are in a sequence data deluge, with sequencing throughput advancing faster than the computer power needed for data analysis. However, new tools and approaches are being developed constantly and the whole process could be depicted as a fast co-evolution between sequencing technology, informatics and microbiologists. In this work, we examine the most popular and recently commercialized HTS platforms as well as bioinformatics methods for data handling and analysis used in microbial metagenomics. This non-exhaustive review is intended to serve as a broad state-of-the-art guide to researchers expanding into this rapidly evolving field.
authors: Institute of Marine Sciences, CSIC, Barcelona ES-08003, Spain. ramiro.logares@gmail.com
authors: Ramiro
authors: R
authors: Logares
authors: Thomas H A
authors: TH
authors: Haverkamp
authors: Surendra
authors: S
authors: Kumar
authors: Anders
authors: A
authors: Lanzén
authors: Alexander J
authors: AJ
authors: Nederbragt
authors: Christopher
authors: C
authors: Quince
authors: Håvard
authors: H
authors: Kauserud
mesh_terms: D019295:Computational Biology / Q000379:methods* / Q000639:trends; D004783:Environmental Microbiology; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods* / Q000639:trends; D056186:Metagenomics / Q000379:methods* / Q000639:trends