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Series GSE186905 Query DataSets for GSE186905
Status Public on Dec 01, 2021
Title Searching for the mechanism that mediates mefenoxam-acquired resistance in Phytophthora infestans and how it is regulated
Organism Phytophthora infestans
Experiment type Non-coding RNA profiling by high throughput sequencing
Summary Phytophthora infestans, the causal agent of late blight disease of potatoes, is mainly controlled by the use of fungicides. Isolates that are resistant to commonly used fungicides have been reported. Also, several studies show that originally mefenoxam-sensitive isolates acquire resistance to this fungicide when exposed to sub-lethal concentrations. This phenomenon, termed ‘mefenoxam-acquired resistance’, has been observed in different Phytophthora species and seems to be unique to mefenoxam. In this study, we aimed to elucidate the molecular mechanism mediating this type of resistance as well as a possible regulatory process behind it. A combination of computational analyses and experimental approaches was used to identify differentially expressed genes with a potential association to the phenomenon. These genes were classified into seven functional groups. Most of them seem to be associated with a pleiotropic drug resistance (PDR) phenotype, typically involved in the expulsion of diverse metabolites, drugs, or other substances out of the cell. Despite the importance of RNApolI for the constitutive resistance of P. infestans to mefenoxam, our results indicate no clear interaction between this protein and the acquisition of mefenoxam resistance. Several small non-coding RNAs (ncRNAs) were found to be differentially expressed and specifically related to genes mediating the PDR phenotype, thus suggesting a possible regulatory process. We propose a model of the molecular mechanisms acting within the cell when P. infestans acquires resistance to mefenoxam after exposed to sub-lethal concentrations of the fungicide. This study provides important insights into P. infestans’ cellular and regulatory functionalities.
Overall design These data sets were generated via RNA-seq of small non-coding RNAs of Phytophthora infestans. Three strains used, two treatment conditions and three biological replicates each. For a total of 18 result files.
Contributor(s) Gonzalez-Tobon J, Childers RR, Rodriguez A, Fry WE, Myers KL, Thompson JR, Restrepo S, Danies G
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Submission date Nov 01, 2021
Last update date Dec 03, 2021
Contact name Juliana Gonzalez-Tobon
Organization name Cornell University
Street address 236 Tower Rd
City Ithaca
ZIP/Postal code 14850
Country USA
Platforms (1)
GPL19416 Illumina HiSeq 2500 (Phytophthora infestans)
Samples (18)
GSM5663430 RC1-0-1
GSM5663431 RC1-0-2
GSM5663432 RC1-0-3
BioProject PRJNA776737
SRA SRP344006

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE186905_RAW.tar 1.2 Mb (http)(custom) TAR (of TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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