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Microbial Environmental Genomics (MEG)

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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 8: Identification and In Situ Distribution of a Fungal Gene Marker: The Mating Type Genes of the Black Truffle
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Chapter title
Identification and In Situ Distribution of a Fungal Gene Marker: The Mating Type Genes of the Black Truffle
Chapter number 8
Book title
Microbial Environmental Genomics (MEG)
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3369-3_8
Pubmed ID
Book ISBNs
978-1-4939-3367-9, 978-1-4939-3369-3
Authors

Herminia De la Varga, Claude Murat

Editors

Francis Martin, Stephane Uroz

Abstract

Truffles are ectomycorrhizal fungi harvested mainly in human managed agroforestry ecosystems. Truffle production in truffle orchards faces two important bottlenecks or challenges: the initiation of the sexual reproduction and the growth of the ascocarps during several months. The black Périgord truffle, Tuber melanosporum, is a heterothallic species and the mating type genes (MAT1-1 and M1T1-2) have been characterized. In this context, the unraveling of the T. melanosporum mating type strains distribution in truffle orchards is a critical starting point to provide new insights into its sexual reproduction. The aim of this chapter is to present the protocol used to characterize the T. melanosporum mating type present in a truffle orchard from ascocarps, hazel mycorrhizal root tips, and/or soil samples, by polymerase chain reactions using specific primers for those genes, but it can be adapted for other fungal species.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 19%
Student > Master 3 19%
Researcher 2 13%
Student > Bachelor 1 6%
Professor > Associate Professor 1 6%
Other 1 6%
Unknown 5 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 31%
Environmental Science 2 13%
Biochemistry, Genetics and Molecular Biology 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Physics and Astronomy 1 6%
Other 1 6%
Unknown 5 31%