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Metagenomics

Overview of attention for book
Cover of 'Metagenomics'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Construction of Small-Insert and Large-Insert Metagenomic Libraries.
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    Chapter 2 Extraction of Total DNA and RNA from Marine Filter Samples and Generation of a cDNA as Universal Template for Marker Gene Studies.
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    Chapter 3 Construction and Screening of Marine Metagenomic Large Insert Libraries.
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    Chapter 4 Constructing and Screening a Metagenomic Library of a Cold and Alkaline Extreme Environment.
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    Chapter 5 DNA-, RNA-, and Protein-Based Stable-Isotope Probing for High-Throughput Biomarker Analysis of Active Microorganisms.
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    Chapter 6 Assessing Bacterial and Fungal Diversity in the Plant Endosphere.
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    Chapter 7 Shotgun Metagenomic Sequencing Analysis of Soft-Rot Enterobacteriaceae in Polymicrobial Communities.
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    Chapter 8 Cloning and Expression of Metagenomic DNA in Streptomyces lividans and Subsequent Fermentation for Optimized Production.
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    Chapter 9 Degradation Network Reconstruction Guided by Metagenomic Data.
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    Chapter 10 Novel Tools for the Functional Expression of Metagenomic DNA.
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    Chapter 11 A Microtiter Plate-Based Assay to Screen for Active and Stereoselective Hydrolytic Enzymes in Enzyme Libraries.
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    Chapter 12 Screening for Cellulase Encoding Clones in Metagenomic Libraries.
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    Chapter 13 Liquid Phase Multiplex High-Throughput Screening of Metagenomic Libraries Using p-Nitrophenyl-Linked Substrates for Accessory Lignocellulosic Enzymes.
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    Chapter 14 Screening Glycosyltransferases for Polyphenol Modifications.
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    Chapter 15 Methods for the Isolation of Genes Encoding Novel PHA Metabolism Enzymes from Complex Microbial Communities.
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    Chapter 16 Function-Based Metagenomic Library Screening and Heterologous Expression Strategy for Genes Encoding Phosphatase Activity.
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    Chapter 17 Activity-Based Screening of Metagenomic Libraries for Hydrogenase Enzymes.
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    Chapter 18 Screening for N-AHSL-Based-Signaling Interfering Enzymes.
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    Chapter 19 Mining Microbial Signals for Enhanced Biodiscovery of Secondary Metabolites.
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    Chapter 20 Erratum to: Cloning and Expression of Metagenomic DNA in Streptomyces lividans and Subsequent Fermentation for Optimized Production
Attention for Chapter 6: Assessing Bacterial and Fungal Diversity in the Plant Endosphere.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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2 blogs
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3 X users

Citations

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11 Dimensions

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34 Mendeley
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Chapter title
Assessing Bacterial and Fungal Diversity in the Plant Endosphere.
Chapter number 6
Book title
Metagenomics
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6691-2_6
Pubmed ID
27900685
Book ISBNs
978-1-4939-6689-9, 978-1-4939-6691-2
Authors

Bernd Wemheuer, Franziska Wemheuer, Wemheuer, Bernd, Wemheuer, Franziska

Editors

Wolfgang R. Streit, Rolf Daniel

Abstract

Plants are colonized various microorganisms including endophytes. These microbes can play an important role in agricultural production as they promote plant growth and/or enhance the resistance of their host plant against diseases and environmental stress conditions. Although culture-independent molecular approaches such as DNA barcoding have greatly enhanced our understanding of bacterial and fungal endophyte communities, there are some methodical problems when investigating endophyte diversity. One main issue are sequence contaminations such as plastid-derived rRNA gene sequences which are co-amplified due to their high homology to bacterial 16S rRNA genes. The same is true for plant and fungal ITS sequences. The application of highly specific-primers suppressing co-amplification of these sequence contaminations is a good solution for this issue. Here, we describe a detailed protocol for assessing bacterial and fungal endophyte diversity in plants using these primers in combination with next-generation sequencing.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 24%
Researcher 7 21%
Student > Ph. D. Student 5 15%
Professor 3 9%
Student > Bachelor 2 6%
Other 4 12%
Unknown 5 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 44%
Biochemistry, Genetics and Molecular Biology 8 24%
Environmental Science 4 12%
Immunology and Microbiology 1 3%
Unknown 6 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 09 February 2018.
All research outputs
#2,189,468
of 22,903,988 outputs
Outputs from Methods in molecular biology
#366
of 13,132 outputs
Outputs of similar age
#47,340
of 420,477 outputs
Outputs of similar age from Methods in molecular biology
#54
of 1,074 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,132 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 97% 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 420,477 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.

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