Metagenomics as a tool for the investigation of uncultured microorganisms View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-05

AUTHORS

N. V. Ravin, A. V. Mardanov, K. G. Skryabin

ABSTRACT

Uncultured microorganisms represent a significant part of the Earth’s biodiversity. Natural ecosystems contain less than 0.1–1% of the microorganisms that can be cultured by standard laboratory techniques. Therefore, new methodological approaches are required for the identification and description of uncultured microorganisms, for studies of their genetic diversity and the structure of microbial communities, and for an understanding of their ecological importance in the biosphere. Metagenomics, a method of analyzing the collective genome of a microbial community without cultivation, makes it possible to unravel fundamental matters of the microbiology and ecology of microorganisms. Another efficient method of analysis of uncultured forms of microorganisms is “single cell genomics,” which involves the isolation of single cells from microbial communities and the sequencing of their genomes. Developed in the last decade, the high throughput technologies of next-generation sequencing provide a decisive contribution to the goal of reconstruction of all genomes of the microorganisms residing and interacting within ecosystems. This review describes the major methodological approaches used in metagenomic analysis of microbial communities, as well as accomplishments in the search for new uncultured microorganism, the sequencing of their genomes, and an elucidation of their role in ecosystems. More... »

PAGES

431-439

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s1022795415050063

DOI

http://dx.doi.org/10.1134/s1022795415050063

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1030008290


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1134/s1022795415050063'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1134/s1022795415050063'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s1022795415050063'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s1022795415050063'


 

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