Literature DB >> 24515370

Metagenomics using next-generation sequencing.

Lauren Bragg1, Gene W Tyson.   

Abstract

Traditionally, microbial genome sequencing has been restricted to the small number of species that can be grown in pure culture. The progressive development of culture-independent methods over the last 15 years now allows researchers to sequence microbial communities directly from environmental samples. This approach is commonly referred to as "metagenomics" or "community genomics". However, the term metagenomics is applied liberally in the literature to describe any culture-independent analysis of microbial communities. Here, we define metagenomics as shotgun ("random") sequencing of the genomic DNA of a sample taken directly from the environment. The metagenome can be thought of as a sampling of the collective genome of the microbial community. We outline the considerations and analyses that should be undertaken to ensure the success of a metagenomic sequencing project, including the choice of sequencing platform and methods for assembly, binning, annotation, and comparative analysis.

Entities:  

Mesh:

Year:  2014        PMID: 24515370     DOI: 10.1007/978-1-62703-712-9_15

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  21 in total

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Review 4.  Interrogating the bovine reproductive tract metagenomes using culture-independent approaches: a systematic review.

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6.  Tracking cashew economically important diseases in the West African region using metagenomics.

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7.  Screening currency notes for microbial pathogens and antibiotic resistance genes using a shotgun metagenomic approach.

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Review 9.  From cultured to uncultured genome sequences: metagenomics and modeling microbial ecosystems.

Authors:  Daniel R Garza; Bas E Dutilh
Journal:  Cell Mol Life Sci       Date:  2015-08-09       Impact factor: 9.261

10.  Marker genes that are less conserved in their sequences are useful for predicting genome-wide similarity levels between closely related prokaryotic strains.

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Journal:  Microbiome       Date:  2016-05-03       Impact factor: 14.650

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