Literature DB >> 30528276

Recovering microbial genomes from metagenomes in hypersaline environments: The Good, the Bad and the Ugly.

María Dolores Ramos-Barbero1, Ana-B Martin-Cuadrado1, Tomeu Viver2, Fernando Santos1, Manuel Martinez-Garcia1, Josefa Antón3.   

Abstract

Current metagenomic tools allow the recovery of microbial genomes directly from the environment. This can be accomplished by binning metagenomic contigs according to their coverage and tetranucleotide frequency, followed by an estimation of the bin quality. The public availability of bioinformatics tools, together with the decreasing cost of next generation sequencing, are democratizing this powerful approach that is spreading from specialized research groups to the general public. Using metagenomes from hypersaline environments, as well as mock metagenomes composed of Archaea and Bacteria frequently found in these systems, we have analyzed the advantages and difficulties of the binning process in these extreme environments to tackle microbial population diversity. These extreme systems harbor relatively low species diversity but high intraspecific diversity, which can compromise metagenome assembly and therefore the whole binning process. The main goal is to compare the output of the binning process with what is previously known from the analyzed samples, based on years of study using different approaches. Several scenarios have been analyzed in detail: (i) a good quality bin from a species highly abundant in the environment; (ii) an intermediate quality bin with incongruences that can be solved by further analyses and manual curation, and (iii) a low-quality bin to investigate the failure to recover a very abundant microbial genome as well as some possible solutions. The latter can be considered the "great metagenomics anomaly" and is mainly due to assembly problems derived from the microdiversity of naturally co-existing populations in nature.
Copyright © 2018 Elsevier GmbH. All rights reserved.

Entities:  

Keywords:  Binning; Haloquadratum; Halorubrum; Hypersaline; Microdiversity; Salinibacter

Mesh:

Year:  2018        PMID: 30528276     DOI: 10.1016/j.syapm.2018.11.001

Source DB:  PubMed          Journal:  Syst Appl Microbiol        ISSN: 0723-2020            Impact factor:   4.022


  7 in total

Review 1.  Extreme environments: a source of biosurfactants for biotechnological applications.

Authors:  Júnia Schultz; Alexandre Soares Rosado
Journal:  Extremophiles       Date:  2019-12-11       Impact factor: 2.395

2.  The National Ecological Observatory Network's soil metagenomes: assembly and basic analysis.

Authors:  Zoey R Werbin; Briana Hackos; Jorge Lopez-Nava; Michael C Dietze; Jennifer M Bhatnagar
Journal:  F1000Res       Date:  2021-04-19

3.  Polysaccharide niche partitioning of distinct Polaribacter clades during North Sea spring algal blooms.

Authors:  Burak Avcı; Karen Krüger; Bernhard M Fuchs; Hanno Teeling; Rudolf I Amann
Journal:  ISME J       Date:  2020-02-19       Impact factor: 10.302

Review 4.  Applying Genome-Resolved Metagenomics to Deconvolute the Halophilic Microbiome.

Authors:  Gherman Uritskiy; Jocelyne DiRuggiero
Journal:  Genes (Basel)       Date:  2019-03-14       Impact factor: 4.096

Review 5.  The Methods of Digging for "Gold" within the Salt: Characterization of Halophilic Prokaryotes and Identification of Their Valuable Biological Products Using Sequencing and Genome Mining Tools.

Authors:  Jakub Lach; Paulina Jęcz; Dominik Strapagiel; Agnieszka Matera-Witkiewicz; Paweł Stączek
Journal:  Genes (Basel)       Date:  2021-11-01       Impact factor: 4.096

6.  Long-Read-Resolved, Ecosystem-Wide Exploration of Nucleotide and Structural Microdiversity of Lake Bacterioplankton Genomes.

Authors:  Yusuke Okazaki; Shin-Ichi Nakano; Atsushi Toyoda; Hideyuki Tamaki
Journal:  mSystems       Date:  2022-08-08       Impact factor: 7.324

Review 7.  Microorganisms and Their Metabolic Capabilities in the Context of the Biogeochemical Nitrogen Cycle at Extreme Environments.

Authors:  Rosa María Martínez-Espinosa
Journal:  Int J Mol Sci       Date:  2020-06-13       Impact factor: 5.923

  7 in total

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