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Fungal Genomics

Overview of attention for book
Cover of 'Fungal Genomics'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: Overview of Fungal Genomics
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    Chapter 2 Fungal Genomic DNA Extraction Methods for Rapid Genotyping and Genome Sequencing
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    Chapter 3 Purification of Fungal High Molecular Weight Genomic DNA from Environmental Samples
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    Chapter 4 Genome Sequencing
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    Chapter 5 Methods for Genomic Characterization and Maintenance of Anaerobic Fungi
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    Chapter 6 Efficient Extraction Method for High Quality Fungal RNA from Complex Lignocellulosic Substrates
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    Chapter 7 Isolation of High Quality RNA for Metatranscriptomic Analysis of Lignocellulose Digestion in the Rumen
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    Chapter 8 Fungal Transcriptomics
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    Chapter 9 Mass Spectrometry-Based Proteomics
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    Chapter 10 Mass Spectrometry-Based Metabolomics
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    Chapter 11 Genome Editing: CRISPR-Cas9
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    Chapter 12 Evolutionary Adaptation to Generate Mutants
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    Chapter 13 Genome Assembly
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    Chapter 14 Fungal Epigenomics: Detection and Analysis
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    Chapter 15 Fungal Genome Annotation
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    Chapter 16 Manual Gene Curation and Functional Annotation
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    Chapter 17 Evaluating Programs for Predicting Genes and Transcripts with RNA-Seq Support in Fungal Genomes
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    Chapter 18 Genomic Sequence Variation Analysis by Resequencing
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    Chapter 19 ChIP-Seq Analysis in Neurospora crassa
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    Chapter 20 Fungal Phylogenomics
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    Chapter 21 Phylogenetic Analysis of Protein Family
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    Chapter 22 Parasexual Crossings for Bulk Segregant Analysis in Aspergillus niger to Facilitate Mutant Identification Via Whole Genome Sequencing
Attention for Chapter 12: Evolutionary Adaptation to Generate Mutants
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Chapter title
Evolutionary Adaptation to Generate Mutants
Chapter number 12
Book title
Fungal Genomics
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7804-5_12
Pubmed ID
Book ISBNs
978-1-4939-7803-8, 978-1-4939-7804-5
Authors

Ronald P. de Vries, Ronnie Lubbers, Aleksandrina Patyshakuliyeva, Ad Wiebenga, Isabelle Benoit-Gelber, Vries, Ronald P., Lubbers, Ronnie, Patyshakuliyeva, Aleksandrina, Wiebenga, Ad, Benoit-Gelber, Isabelle, Vries, Ronald P. de

Abstract

In this chapter we describe a method to generate mutants of filamentous fungi using their genomic plasticity and rapid adaptability to their environment. This method is based on spontaneous mutations occurring in relation to improved growth of fungi on media by repeated inoculation resulting in adaptation of the strain to the condition. The critical aspect of this method is the design of the selective media, which will depend strongly on the phenomenon that will be studied. This method is advantageous over UV or chemical random mutagenesis as it results in a lower frequency of undesired mutations and can result in strains that combined with (post)genomic approaches can enhance our understanding of the mechanisms driving various biological processes. In addition, it can be used to obtain better strains for various industrial applications. The method described here is specific for sporulating fungi and has so far not yet been tested for nonsporulating fungi.

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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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 22%
Researcher 2 22%
Student > Bachelor 1 11%
Other 1 11%
Unknown 3 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 33%
Unspecified 2 22%
Biochemistry, Genetics and Molecular Biology 1 11%
Unknown 3 33%
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 10 June 2018.
All research outputs
#15,535,385
of 23,088,369 outputs
Outputs from Methods in molecular biology
#5,410
of 13,206 outputs
Outputs of similar age
#270,124
of 442,629 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,499 outputs
Altmetric has tracked 23,088,369 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,206 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.