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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
  2. Altmetric Badge
    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.
  17. Altmetric Badge
    Chapter 16 Metatranscriptomics of Soil Eukaryotic Communities
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    Chapter 17 Analysis of Ancient DNA in Microbial Ecology.
Attention for Chapter 14: Analysis of Active Methylotrophic Communities: When DNA-SIP Meets High-Throughput Technologies.
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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6 tweeters

Citations

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11 Dimensions

Readers on

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10 Mendeley
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Chapter title
Analysis of Active Methylotrophic Communities: When DNA-SIP Meets High-Throughput Technologies.
Chapter number 14
Book title
Microbial Environmental Genomics (MEG)
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3369-3_14
Pubmed ID
Book ISBNs
978-1-4939-3367-9, 978-1-4939-3369-3
Authors

Taubert, Martin, Grob, Carolina, Howat, Alexandra M, Burns, Oliver J, Chen, Yin, Neufeld, Josh D, Murrell, J Colin, Martin Taubert, Carolina Grob, Alexandra M. Howat, Oliver J. Burns, Yin Chen, Josh D. Neufeld, J. Colin Murrell

Editors

Francis Martin, Stephane Uroz

Abstract

Methylotrophs are microorganisms ubiquitous in the environment that can metabolize one-carbon (C1) compounds as carbon and/or energy sources. The activity of these prokaryotes impacts biogeochemical cycles within their respective habitats and can determine whether these habitats act as sources or sinks of C1 compounds. Due to the high importance of C1 compounds, not only in biogeochemical cycles, but also for climatic processes, it is vital to understand the contributions of these microorganisms to carbon cycling in different environments. One of the most challenging questions when investigating methylotrophs, but also in environmental microbiology in general, is which species contribute to the environmental processes of interest, or "who does what, where and when?" Metabolic labeling with C1 compounds substituted with (13)C, a technique called stable isotope probing, is a key method to trace carbon fluxes within methylotrophic communities. The incorporation of (13)C into the biomass of active methylotrophs leads to an increase in the molecular mass of their biomolecules. For DNA-based stable isotope probing (DNA-SIP), labeled and unlabeled DNA is separated by isopycnic ultracentrifugation. The ability to specifically analyze DNA of active methylotrophs from a complex background community by high-throughput sequencing techniques, i.e. targeted metagenomics, is the hallmark strength of DNA-SIP for elucidating ecosystem functioning, and a protocol is detailed in this chapter.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 20%
Unknown 8 80%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 30%
Researcher 2 20%
Professor 1 10%
Student > Bachelor 1 10%
Student > Doctoral Student 1 10%
Other 1 10%
Unknown 1 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 60%
Environmental Science 1 10%
Biochemistry, Genetics and Molecular Biology 1 10%
Chemical Engineering 1 10%
Unknown 1 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 23 January 2016.
All research outputs
#4,550,538
of 9,740,557 outputs
Outputs from Methods in molecular biology
#1,675
of 7,457 outputs
Outputs of similar age
#132,074
of 341,117 outputs
Outputs of similar age from Methods in molecular biology
#206
of 1,165 outputs
Altmetric has tracked 9,740,557 research outputs across all sources so far. This one has received more attention than most of these and is in the 51st percentile.
So far Altmetric has tracked 7,457 research outputs from this source. They receive a mean Attention Score of 2.0. This one has done well, scoring higher than 76% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 341,117 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
We're also able to compare this research output to 1,165 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.