Gene expression profile and response to maize kernels by Aspergillus flavus
Brittiney N Reese1, Gary A Payne, Dahlia M Nielsen
1Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN 47907, USA.
Phytopathology
|February 24, 2011
Summary
Aspergillus flavus infection in maize kernels is influenced by kernel development. Phytase gene disruption reduced fungal growth in maize ears, but not aflatoxin production.
Area of Science:
- Plant Pathology
- Mycology
- Agricultural Science
Background:
- Aspergillus flavus causes maize ear rot and produces aflatoxins, posing risks to human and animal health.
- The impact of the maize kernel environment on A. flavus colonization and aflatoxin biosynthesis remains incompletely understood.
Purpose of the Study:
- To investigate the genome-wide transcriptional response of A. flavus to different developmental stages of the maize kernel.
- To elucidate the role of specific genes, such as phytase, in A. flavus pathogenesis within the maize kernel environment.
Main Methods:
- Gene expression analysis using microarrays on A. flavus grown on maize kernels at four developmental stages (R2-R5).
- Isolation and characterization of total RNA for hybridization to Affymetrix Gene Chip arrays.
- Genetic manipulation of the phytase gene (phy1) to assess its role in fungal growth and pathogenesis.
Main Results:
- Significant differences in A. flavus gene expression were observed across kernel developmental stages, with unique gene sets upregulated at each stage.
- A phytase gene (phy1) and zinc acquisition genes were upregulated in colonized dent kernels.
- Disruption of phy1 led to reduced fungal growth on phytate-containing media and impaired virulence in maize ears, without affecting aflatoxin production.
Conclusions:
- Immature maize kernels significantly influence A. flavus gene expression.
- Phytase plays a role in A. flavus pathogenesis on maize, likely by facilitating nutrient acquisition.
- The phy1 gene is not essential for aflatoxin biosynthesis in this maize ear rot model.
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