Modelling the relationship between environmental factors, transcriptional genes and deoxynivalenol mycotoxin production by strains of two Fusarium species

Journal of the Royal Society Interface

Volumn 8, Issue 54, 2011, Pages 117-126

  Schmidt Heydt, M ^a,b   Parra, R ^a,b,c   Geisen, R ^a,b   Magan, N ^a,b  

^a CRANFIELD UNIVERSITY   (United Kingdom)

^b FEDERAL RESEARCH INSTITUTE OF NUTRITION AND FOOD   (Germany)

^c SCHOOL OF ENGINEERING AND SCIENCES   (Mexico)

Author keywords

Deoxynivalenol; Environmental factors; Microarray; Multiple regression analyses; Temperature; Trichothecene genes

Indexed keywords

ECOLOGY; GENES; METAL ANALYSIS; REGRESSION ANALYSIS; STATISTICS;

BEST FIT; COMPLEX INTERACTION; CONTOUR MAP; CONTROL STRATEGIES; DEOXYNIVALENOL; ENVIRONMENTAL FACTORS; EXPRESSION DATA; FUSARIUM CULMORUM; FUSARIUM GRAMINEARUM; FUSARIUM SPECIES; GENE CLUSTERS; MICROARRAY DATA; MULTI-REGRESSION ANALYSIS; MULTIPLE REGRESSION ANALYSIS; POLYNOMIAL MODELS; TRICHOTHECENES;

TRANSCRIPTION;

TRICHOTHECENE; VOMITOXIN; WATER;

ARTICLE; CONTROLLED STUDY; DNA MICROARRAY; FUNGUS GROWTH; FUSARIUM CULMORUM; FUSARIUM GRAMINEARUM; GENE; GENE EXPRESSION; MICROARRAY ANALYSIS; MULTIPLE REGRESSION; NONHUMAN; PREDICTIVE VALUE; TEMPERATURE DEPENDENCE; TOXIN SYNTHESIS; TRI10 GENE; TRI12 GENE; TRI13 GENE; TRI4 GENE; TRI5 GENE; TRI6 GENE; WATER CONTENT;

FUSARIUM; FUSARIUM CULMORUM; GIBBERELLA ZEAE;

EID: 78650846889     PISSN: 17425689     EISSN: 17425662     Source Type: Journal    
DOI: 10.1098/rsif.2010.0131     Document Type: Article

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