Literature DB >> 21366818

Targeted metagenomics: a high-resolution metagenomics approach for specific gene clusters in complex microbial communities.

Hikaru Suenaga1.   

Abstract

A major research goal in microbial ecology is to understand the relationship between gene organization and function involved in environmental processes of potential interest. Given that more than an estimated 99% of microorganisms in most environments are not amenable to culturing, methods for culture-independent studies of genes of interest have been developed. The wealth of metagenomic approaches allows environmental microbiologists to directly explore the enormous genetic diversity of microbial communities. However, it is extremely difficult to obtain the appropriate sequencing depth of any particular gene that can entirely represent the complexity of microbial metagenomes and be able to draw meaningful conclusions about these communities. This review presents a summary of the metagenomic approaches that have been useful for collecting more information about specific genes. Specific subsets of metagenomes that focus on sequence analysis were selected in each metagenomic studies. This 'targeted metagenomics' approach will provide extensive insight into the functional, ecological and evolutionary patterns of important genes found in microorganisms from various ecosystems.
© 2011 Society for Applied Microbiology and Blackwell Publishing Ltd.

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Year:  2011        PMID: 21366818     DOI: 10.1111/j.1462-2920.2011.02438.x

Source DB:  PubMed          Journal:  Environ Microbiol        ISSN: 1462-2912            Impact factor:   5.491


  28 in total

Review 1.  Analytical tools and databases for metagenomics in the next-generation sequencing era.

Authors:  Mincheol Kim; Ki-Hyun Lee; Seok-Whan Yoon; Bong-Soo Kim; Jongsik Chun; Hana Yi
Journal:  Genomics Inform       Date:  2013-09-30

Review 2.  Metagenomics Approaches in Discovery and Development of New Bioactive Compounds from Marine Actinomycetes.

Authors:  Gyana Prakash Mahapatra; Surabhi Raman; Suman Nayak; Sushanto Gouda; Gitishree Das; Jayanta Kumar Patra
Journal:  Curr Microbiol       Date:  2019-05-08       Impact factor: 2.188

3.  Targeted Metagenomics Offers Insights into Potential Tick-Borne Pathogens.

Authors:  Matthew Thoendel
Journal:  J Clin Microbiol       Date:  2020-10-21       Impact factor: 5.948

Review 4.  Ecosystem-specific microbiota and microbiome databases in the era of big data.

Authors:  Victor Lobanov; Angélique Gobet; Alyssa Joyce
Journal:  Environ Microbiome       Date:  2022-07-16

5.  Interspecific variations in the gastrointestinal microbiota in penguins.

Authors:  Meagan L Dewar; John P Y Arnould; Peter Dann; Phil Trathan; Rene Groscolas; Stuart Smith
Journal:  Microbiologyopen       Date:  2013-01-25       Impact factor: 3.139

6.  Under-detection of endospore-forming Firmicutes in metagenomic data.

Authors:  Sevasti Filippidou; Thomas Junier; Tina Wunderlin; Chien-Chi Lo; Po-E Li; Patrick S Chain; Pilar Junier
Journal:  Comput Struct Biotechnol J       Date:  2015-04-25       Impact factor: 7.271

Review 7.  Emerging concepts promising new horizons for marine biodiscovery and synthetic biology.

Authors:  F Jerry Reen; José A Gutiérrez-Barranquero; Alan D W Dobson; Claire Adams; Fergal O'Gara
Journal:  Mar Drugs       Date:  2015-05-13       Impact factor: 5.118

8.  Using high-throughput sequencing to leverage surveillance of genetic diversity and oseltamivir resistance: a pilot study during the 2009 influenza A(H1N1) pandemic.

Authors:  Juan Téllez-Sosa; Mario Henry Rodríguez; Rosa E Gómez-Barreto; Humberto Valdovinos-Torres; Ana Cecilia Hidalgo; Pablo Cruz-Hervert; René Santos Luna; Erik Carrillo-Valenzo; Celso Ramos; Lourdes García-García; Jesús Martínez-Barnetche
Journal:  PLoS One       Date:  2013-07-02       Impact factor: 3.240

9.  Gene capture coupled to high-throughput sequencing as a strategy for targeted metagenome exploration.

Authors:  Jérémie Denonfoux; Nicolas Parisot; Eric Dugat-Bony; Corinne Biderre-Petit; Delphine Boucher; Diego P Morgavi; Denis Le Paslier; Eric Peyretaillade; Pierre Peyret
Journal:  DNA Res       Date:  2013-01-30       Impact factor: 4.458

10.  RNA-seq-based metatranscriptomic and microscopic investigation reveals novel metalloproteases of Neobodo sp. as potential virulence factors for soft tunic syndrome in Halocynthia roretzi.

Authors:  Ho Bin Jang; Young Kyu Kim; Carmelo S Del Castillo; Seong Won Nho; In Seok Cha; Seong Bin Park; Mi Ae Ha; Jun-Ichi Hikima; Sung Jong Hong; Takashi Aoki; Tae Sung Jung
Journal:  PLoS One       Date:  2012-12-27       Impact factor: 3.240

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