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Microbial Environmental Genomics (MEG)

Overview of attention for book
Cover of 'Microbial Environmental Genomics (MEG)'

Table of Contents

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    Book Overview
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    Chapter 1 "Deciphering Archaeal Communities" Omics Tools in the Study of Archaeal Communities.
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    Chapter 2 Investigating the Endobacteria Which Thrive in Arbuscular Mycorrhizal Fungi
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    Chapter 3 GenoSol Platform: A Logistic and Technical Platform for Conserving and Exploring Soil Microbial Diversity.
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    Chapter 4 Sample Preparation for Fungal Community Analysis by High-Throughput Sequencing of Barcode Amplicons
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    Chapter 5 Fungal Communities in Soils: Soil Organic Matter Degradation.
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    Chapter 6 DNA-Based Characterization and Identification of Arbuscular Mycorrhizal Fungi Species.
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    Chapter 7 Molecular Identification of Soil Eukaryotes and Focused Approaches Targeting Protist and Faunal Groups Using High-Throughput Metabarcoding.
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    Chapter 8 Identification and In Situ Distribution of a Fungal Gene Marker: The Mating Type Genes of the Black Truffle
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    Chapter 9 Stable-Isotope Probing RNA to Study Plant/Fungus Interactions
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    Chapter 10 Targeted Gene Capture by Hybridization to Illuminate Ecosystem Functioning.
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    Chapter 11 Hybridization of Environmental Microbial Community Nucleic Acids by GeoChip.
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    Chapter 12 Reconstruction of Transformation Processes Catalyzed by the Soil Microbiome Using Metagenomic Approaches.
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    Chapter 13 MG-RAST, a Metagenomics Service for Analysis of Microbial Community Structure and Function.
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    Chapter 14 Analysis of Active Methylotrophic Communities: When DNA-SIP Meets High-Throughput Technologies.
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    Chapter 15 Functional Metagenomics: Construction and High-Throughput Screening of Fosmid Libraries for Discovery of Novel Carbohydrate-Active Enzymes.
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    Chapter 16 Metatranscriptomics of Soil Eukaryotic Communities
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    Chapter 17 Analysis of Ancient DNA in Microbial Ecology.
Attention for Chapter 10: Targeted Gene Capture by Hybridization to Illuminate Ecosystem Functioning.
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Chapter title
Targeted Gene Capture by Hybridization to Illuminate Ecosystem Functioning.
Chapter number 10
Book title
Microbial Environmental Genomics (MEG)
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3369-3_10
Pubmed ID
Book ISBNs
978-1-4939-3367-9, 978-1-4939-3369-3

Ribière, Céline, Beugnot, Réjane, Parisot, Nicolas, Gasc, Cyrielle, Defois, Clémence, Denonfoux, Jérémie, Boucher, Delphine, Peyretaillade, Eric, Peyret, Pierre, Céline Ribière, Réjane Beugnot, Nicolas Parisot, Cyrielle Gasc, Clémence Defois, Jérémie Denonfoux, Delphine Boucher, Eric Peyretaillade, Pierre Peyret


Francis Martin, Stephane Uroz


Microbial communities are extremely abundant and diverse on earth surface and play key role in the ecosystem functioning. Thus, although next-generation sequencing (NGS) technologies have greatly improved knowledge on microbial diversity, it is necessary to reduce the biological complexity to better understand the microorganism functions. To achieve this goal, we describe a promising approach, based on the solution hybrid selection (SHS) method for the selective enrichment in a target-specific biomarker from metagenomic and metatranscriptomic samples. The success of this method strongly depends on the determination of sensitive, specific, and explorative probes to assess the complete targeted gene repertoire. Indeed, in this method, RNA probes were used to capture large DNA or RNA fragments harboring biomarkers of interest that potentially allow to link structure and function of communities of interest.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 11%
Unknown 17 89%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 21%
Researcher 4 21%
Student > Ph. D. Student 3 16%
Professor > Associate Professor 2 11%
Student > Bachelor 2 11%
Other 4 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 58%
Biochemistry, Genetics and Molecular Biology 4 21%
Environmental Science 3 16%
Immunology and Microbiology 1 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 January 2016.
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So far Altmetric has tracked 5,415 research outputs from this source. They receive a mean Attention Score of 1.9. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,070 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.