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Towards Defining Nutrient Conditions Encountered by the Rice Blast Fungus during Host Infection

Overview of attention for article published in PLOS ONE, October 2012
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Title
Towards Defining Nutrient Conditions Encountered by the Rice Blast Fungus during Host Infection
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0047392
Pubmed ID
Authors

Richard A. Wilson, Jessie Fernandez, Cristian F. Quispe, Julien Gradnigo, Anya Seng, Etsuko Moriyama, Janet D. Wright

Abstract

Fungal diseases cause enormous crop losses, but defining the nutrient conditions encountered by the pathogen remains elusive. Here, we generated a mutant strain of the devastating rice pathogen Magnaporthe oryzae impaired for de novo methionine biosynthesis. The resulting methionine-requiring strain grew strongly on synthetic minimal media supplemented with methionine, aspartate or complex mixtures of partially digested proteins, but could not establish disease in rice leaves. Live-cell-imaging showed the mutant could produce normal appressoria and enter host cells but failed to develop, indicating the availability or accessibility of aspartate and methionine is limited in the plant. This is the first report to demonstrate the utility of combining biochemical genetics, plate growth tests and live-cell-imaging to indicate what nutrients might not be readily available to the fungal pathogen in rice host cells.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 27%
Researcher 9 18%
Student > Bachelor 6 12%
Student > Master 5 10%
Professor 2 4%
Other 4 8%
Unknown 10 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 51%
Biochemistry, Genetics and Molecular Biology 8 16%
Social Sciences 2 4%
Chemistry 1 2%
Engineering 1 2%
Other 0 0%
Unknown 12 24%