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Mycotoxigenic Fungi

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Cover of 'Mycotoxigenic Fungi'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Mycotoxins: An Underhand Food Problem
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    Chapter 2 Alternaria Species and Their Associated Mycotoxins
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    Chapter 3 Aspergillus Species and Their Associated Mycotoxins
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    Chapter 4 Fusarium Species and Their Associated Mycotoxins
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    Chapter 5 Penicillium Species and Their Associated Mycotoxins
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    Chapter 6 Targeting Conserved Genes in Alternaria Species
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    Chapter 7 Targeting Conserved Genes in Aspergillus Species
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    Chapter 8 Targeting Conserved Genes in Fusarium Species
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    Chapter 9 Targeting Conserved Genes in Penicillium Species
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    Chapter 10 Targeting Aflatoxin Biosynthetic Genes
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    Chapter 11 Targeting Trichothecene Biosynthetic Genes
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    Chapter 12 Targeting Ochratoxin Biosynthetic Genes
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    Chapter 13 Targeting Fumonisin Biosynthetic Genes
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    Chapter 14 Targeting Other Mycotoxin Biosynthetic Genes
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    Chapter 15 Evaluating Aflatoxin Gene Expression in Aspergillus Section Flavi
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    Chapter 16 Evaluating Fumonisin Gene Expression in Fusarium verticillioides
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    Chapter 17 Multiplex Detection of Aspergillus Species
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    Chapter 18 Multiplex Detection of Fusarium Species
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    Chapter 19 Multiplex Detection of Toxigenic Penicillium Species
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    Chapter 20 PCR-RFLP for Aspergillus Species
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    Chapter 21 PCR ITS-RFLP for Penicillium Species and Other Genera
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    Chapter 22 Identification of Ochratoxin A-Producing Black Aspergilli from Grapes Using Loop-Mediated Isothermal Amplification (LAMP) Assays
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    Chapter 23 Detection of Transcriptionally Active Mycotoxin Gene Clusters: DNA Microarray
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    Chapter 24 Mycotoxins: A Fungal Genomics Perspective
Attention for Chapter 13: Targeting Fumonisin Biosynthetic Genes
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Chapter title
Targeting Fumonisin Biosynthetic Genes
Chapter number 13
Book title
Mycotoxigenic Fungi
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6707-0_13
Pubmed ID
Book ISBNs
978-1-4939-6705-6, 978-1-4939-6707-0
Authors

Robert H. Proctor, Martha M. Vaughan, Proctor, Robert H., Vaughan, Martha M.

Abstract

The fungus Fusarium is an agricultural problem because it can cause disease on most crop plants and can contaminate crops with mycotoxins. There is considerable variation in the presence/absence and genomic location of gene clusters responsible for synthesis of mycotoxins and other secondary metabolites among species of Fusarium. Here, we describe a quantitative real-time PCR (qPCR) method for distinguishing between and estimating the biomass of two closely related species, F. proliferatum and F. verticillioides, that are pathogens of maize. The qPCR assay is based on differences in the two species with respect to the genomic location of the gene cluster responsible for synthesis of fumonisins, a family of carcinogenic mycotoxins. Species-specific qPCR primers were designed from unique sequences that flank one end of the cluster in each species. The primers were used in qPCR to estimate the biomass of each Fusarium species using DNA isolated from pure cultures and from maize seedlings resulting from seeds inoculated with F. proliferatum alone, F. verticillioides alone, or a 1:1 mixture of the two species. Biomass estimations from seedlings were expressed as the amount of DNA of each Fusarium species per amount of maize DNA, as determined using maize-specific qPCR primers designed from the ribosomal gene L17. Analyses of qPCR experiments using the primers indicated that the assay could distinguish between and quantify the biomass of the two Fusarium species. This finding indicates that genetic diversity resulting from variation in the presence/absence and genomic location of SM biosynthetic gene clusters can be a valuable resource for development of qPCR assays for distinguishing between and quantifying fungi in plants.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Student > Ph. D. Student 1 14%
Lecturer > Senior Lecturer 1 14%
Student > Bachelor 1 14%
Unknown 2 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 57%
Environmental Science 1 14%
Unknown 2 29%