Inferring the presence of aflatoxin-producing Aspergillus flavus strains using RNA sequencing and electronic probes as a transcriptomic screening tool.
Andres S EspindolaWilliam SchneiderKitty F CardwellYisel CarrilloPeter R HoytStephen M MarekHassan A MeloukCarla D GarzónPublished in: PloS one (2018)
E-probe Diagnostic for Nucleic acid Analysis (EDNA) is a bioinformatic tool originally developed to detect plant pathogens in metagenomic databases. However, enhancements made to EDNA increased its capacity to conduct hypothesis directed detection of specific gene targets present in transcriptomic databases. To target specific pathogenicity factors used by the pathogen to infect its host or other targets of interest, e-probes need to be developed for transcripts related to that function. In this study, EDNA transcriptomics (EDNAtran) was developed to detect the expression of genes related to aflatoxin production at the transcriptomic level. E-probes were designed from genes up-regulated during A. flavus aflatoxin production. EDNAtran detected gene transcripts related to aflatoxin production in a transcriptomic database from corn, where aflatoxin was produced. The results were significantly different from e-probes being used in the transcriptomic database where aflatoxin was not produced (atoxigenic AF36 strain and toxigenic AF70 in Potato Dextrose Broth).
Keyphrases
- single cell
- nucleic acid
- rna seq
- living cells
- small molecule
- genome wide
- genome wide identification
- fluorescence imaging
- single molecule
- atrial fibrillation
- copy number
- transcription factor
- big data
- adverse drug
- bioinformatics analysis
- gene expression
- microbial community
- quantum dots
- cell wall
- long non coding rna
- deep learning
- candida albicans
- biofilm formation
- label free
- sensitive detection