Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Comparison of transcript abundance in mycelium from the rice blast fungus Magnaporthe oryzae grown in rich medium and in minimal medium using HT-SuperSAGE.


ABSTRACT: Mycelium from the rice blast fungus Magnaporthe oryzae was grown in both rich medium and under nutrient limiting conditions. Genes were identified that were more highly expressed in one condition as compared to the other. Samples were taken from mycelium grown in both complete medium and in glucose minimal medium. Three replicates were taken for each condition.

ORGANISM(S): Magnaporthe oryzae

SUBMITTER: Darren Soanes 

PROVIDER: E-GEOD-30256 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Genome-wide transcriptional profiling of appressorium development by the rice blast fungus Magnaporthe oryzae.

Soanes Darren M DM   Chakrabarti Apratim A   Paszkiewicz Konrad H KH   Dawe Angus L AL   Talbot Nicholas J NJ  

PLoS pathogens 20120209 2


The rice blast fungus Magnaporthe oryzae is one of the most significant pathogens affecting global food security. To cause rice blast disease the fungus elaborates a specialised infection structure called an appressorium. Here, we report genome wide transcriptional profile analysis of appressorium development using next generation sequencing (NGS). We performed both RNA-Seq and High-Throughput SuperSAGE analysis to compare the utility of these procedures for identifying differential gene express  ...[more]

Similar Datasets

2012-02-13 | E-GEOD-30069 | biostudies-arrayexpress
2012-02-13 | E-GEOD-30327 | biostudies-arrayexpress
2015-04-01 | E-GEOD-66344 | biostudies-arrayexpress
2015-02-01 | E-GEOD-56651 | biostudies-arrayexpress
2016-07-05 | E-GEOD-64990 | biostudies-arrayexpress
2013-06-01 | E-GEOD-41693 | biostudies-arrayexpress
2012-12-25 | E-GEOD-41292 | biostudies-arrayexpress
2014-06-20 | E-GEOD-45989 | biostudies-arrayexpress
2015-01-01 | E-GEOD-60020 | biostudies-arrayexpress
2014-04-01 | E-GEOD-49220 | biostudies-arrayexpress