Transcriptomics

Dataset Information

0

Transcriptomic profiling of dimorphic growth in two Ustilaginomycotina species


ABSTRACT: In this study, we performed comparative transcriptomics to understand how mechanisms for fungal dimorphism are similar to the model species Ustilago maydis. To achieve this, we selected two non-model species from Ustilaginomycotina, Meira miltonrushii and Tilletiopsis washingtonensis, for transcriptomic profiling. Different culture conditions were used to have these two fungi display yeast growth (Holliday's minimal media with 1% glucose as a carbon source) and filamentous growth (Holliday's minimal media with 1% Tween as a carbon source). Then, we performed transcriptomic sequencing and analyses to determine which genes are differentially expressed in filamentous growth compared to yeast growth. We also incorporated public datasets from other two dimorphic species, U. maydis and Ophiostoma novo-ulmi, for comparison. We found that T. washingtonensis, despite being closely related to M. miltonrushii, is the most distant species in terms of the similarities of transcriptomic alteration, suggesting phylogenetic relatedness may not be concurrent with transcriptomic similarity under the same biological phenomenon. Functional enrichment analyses reveal that genes in cell energy production and conversion, amino acid transport and metabolism and cytoskeleton are groups of genes differentially expressed in common among the four species. Finally, although our comparative approach allows us to discover several candidate genes that may be involved in fungal dimorphism, we found very few commonly expressed genes that are know dimorphism genes characterized in U. maydis literature. This suggests the certain degree of species-specific mechanisms for dimorphic transition.

ORGANISM(S): Tilletiopsis washingtonensis Meira miltonrushii

PROVIDER: GSE154947 | GEO | 2021/06/09

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2014-02-04 | GSE54659 | GEO
2014-02-04 | E-GEOD-54659 | biostudies-arrayexpress
2012-01-01 | E-GEOD-28916 | biostudies-arrayexpress
2012-02-20 | GSE31632 | GEO
2012-02-20 | E-GEOD-31632 | biostudies-arrayexpress
2016-01-28 | GSE65125 | GEO
2013-08-12 | E-GEOD-48044 | biostudies-arrayexpress
2021-01-18 | GSE164981 | GEO
2014-09-26 | GSE61783 | GEO
2012-01-01 | GSE28916 | GEO