Literature DB >> 25625313

Functional genomic and metagenomic approaches to understanding gut microbiota-animal mutualism.

Sang Sun Yoon1, Eun-Kyoung Kim2, Won-Jae Lee3.   

Abstract

Accumulating data sets of gut microbiome by next-generation sequencing allow us to gain a comprehensive view of the functional diversity of the gut-associated metagenome. However, many microbiome functions are unknown and/or have only been predicted, and may not necessarily reflect the in vivo function within a gut niche. Functional genomic and metagenomic approaches have been successfully applied to broaden the understanding of invertebrate and vertebrate gut microbiome involved in diverse functions, including colonization ability, nutritional processing, antibiotic resistance, microbial physiology and metabolism, and the modulation of the host physiology. In this review, we discuss the recent knowledge obtained from the study of functional genomics and metagenomics of the animal intestine and its potential values for understanding gut microbiota-animal mutualism.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 25625313     DOI: 10.1016/j.mib.2015.01.007

Source DB:  PubMed          Journal:  Curr Opin Microbiol        ISSN: 1369-5274            Impact factor:   7.934


  14 in total

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Authors:  Kathryn DeRiemer; George Thompson
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2.  Effect of probiotics on diversity and function of gut microbiota in Moschus berezovskii.

Authors:  Chengcong Yang; Weiqiang Huang; Yaru Sun; Lijun You; Hao Jin; Zhihong Sun
Journal:  Arch Microbiol       Date:  2021-04-16       Impact factor: 2.552

Review 3.  High-throughput bacterial functional genomics in the sequencing era.

Authors:  Andrew N Gray; Byoung-Mo Koo; Anthony L Shiver; Jason M Peters; Hendrik Osadnik; Carol A Gross
Journal:  Curr Opin Microbiol       Date:  2015-09-01       Impact factor: 7.934

4.  Culture-independent metagenomics supports discovery of uncultivable bacteria within the genus Chlamydia.

Authors:  Alyce Taylor-Brown; Labolina Spang; Nicole Borel; Adam Polkinghorne
Journal:  Sci Rep       Date:  2017-09-06       Impact factor: 4.379

5.  Network-guided genomic and metagenomic analysis of the faecal microbiota of the critically endangered kakapo.

Authors:  David W Waite; Melissa Dsouza; Yuji Sekiguchi; Philip Hugenholtz; Michael W Taylor
Journal:  Sci Rep       Date:  2018-05-25       Impact factor: 4.379

6.  Challenges in Clinical Metaproteomics Highlighted by the Analysis of Acute Leukemia Patients with Gut Colonization by Multidrug-Resistant Enterobacteriaceae.

Authors:  Julia Rechenberger; Patroklos Samaras; Anna Jarzab; Juergen Behr; Martin Frejno; Ana Djukovic; Jaime Sanz; Eva M González-Barberá; Miguel Salavert; Jose Luis López-Hontangas; Karina B Xavier; Laurent Debrauwer; Jean-Marc Rolain; Miguel Sanz; Marc Garcia-Garcera; Mathias Wilhelm; Carles Ubeda; Bernhard Kuster
Journal:  Proteomes       Date:  2019-01-08

7.  Metabolome of human gut microbiome is predictive of host dysbiosis.

Authors:  Peter E Larsen; Yang Dai
Journal:  Gigascience       Date:  2015-09-14       Impact factor: 6.524

8.  Characterization of the Gut Microbiome Using 16S or Shotgun Metagenomics.

Authors:  Juan Jovel; Jordan Patterson; Weiwei Wang; Naomi Hotte; Sandra O'Keefe; Troy Mitchel; Troy Perry; Dina Kao; Andrew L Mason; Karen L Madsen; Gane K-S Wong
Journal:  Front Microbiol       Date:  2016-04-20       Impact factor: 5.640

9.  More of an Art than a Science: Using Microbial DNA Sequences to Compose Music.

Authors:  Peter E Larsen
Journal:  J Microbiol Biol Educ       Date:  2016-03-01

10.  Fecal source identification using random forest.

Authors:  Adélaïde Roguet; A Murat Eren; Ryan J Newton; Sandra L McLellan
Journal:  Microbiome       Date:  2018-10-18       Impact factor: 14.650

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