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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.
  3. Altmetric Badge
    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
  18. Altmetric Badge
    Chapter 17 Analysis of Ancient DNA in Microbial Ecology.
Attention for Chapter 6: DNA-Based Characterization and Identification of Arbuscular Mycorrhizal Fungi Species.
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Chapter title
DNA-Based Characterization and Identification of Arbuscular Mycorrhizal Fungi Species.
Chapter number 6
Book title
Microbial Environmental Genomics (MEG)
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3369-3_6
Pubmed ID
Book ISBNs
978-1-4939-3367-9, 978-1-4939-3369-3
Authors

Senés-Guerrero, Carolina, Schüßler, Arthur, Carolina Senés-Guerrero, Arthur Schüßler

Editors

Francis Martin, Stephane Uroz

Abstract

Arbuscular mycorrhizal fungi (AMF) are obligate symbionts of most land plants. They have great ecological and economic importance as they can improve plant nutrition, plant water supply, soil structure, and plant resistance to pathogens. We describe two approaches for the DNA-based characterization and identification of AMF, which both can be used for single fungal spores, soil, or roots samples and resolve closely related AMF species: (a) Sanger sequencing of a 1.5 kb extended rDNA-barcode from clone libraries, e.g., to characterize AMF isolates, and (b) high throughput 454 GS-FLX+ pyrosequencing of a 0.8 kb rDNA fragment, e.g., for in-field monitoring.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Researcher 5 19%
Student > Doctoral Student 4 15%
Student > Bachelor 2 7%
Student > Master 2 7%
Other 2 7%
Unknown 7 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 59%
Biochemistry, Genetics and Molecular Biology 2 7%
Environmental Science 1 4%
Immunology and Microbiology 1 4%
Unknown 7 26%
Attention Score in Context

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 23 January 2016.
All research outputs
#20,302,535
of 22,840,638 outputs
Outputs from Methods in molecular biology
#9,917
of 13,127 outputs
Outputs of similar age
#330,613
of 393,571 outputs
Outputs of similar age from Methods in molecular biology
#1,053
of 1,470 outputs
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So far Altmetric has tracked 13,127 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,470 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.