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

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

Syst Appl Microbiol

Department of Physiology, Genetics and Microbiology, University of Alicante, Alicante, Spain; Multidisciplinary Institute of Environmental Studies Ramon Margalef, University of Alicante, Alicante, Spain. Electronic address:

Published: January 2019

AI Article Synopsis

  • Current metagenomic tools enable researchers to extract microbial genomes directly from environmental samples by analyzing metagenomic contigs based on their genetic patterns and coverage.
  • The increasing accessibility of bioinformatics tools and affordable next-generation sequencing is making this method widely available, moving from expert labs to broader applications.
  • When studying microbial diversity in extreme environments, such as hypersaline settings, challenges arise due to low species diversity but high variability within species, which can complicate accurate genome recovery and overall analysis.

Article 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.

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Source
http://dx.doi.org/10.1016/j.syapm.2018.11.001DOI Listing

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