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Published on: December 23, 2022
Identification of Candidate Adherent-Invasive E. coli Signature Transcripts by Genomic/Transcriptomic Analysis
Yuanhao Zhang1, Leahana Rowehl2, Julia M Krumsiek3
1Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York, United States of America.
This study identified unique genetic markers in adherent-invasive Escherichia coli (AIEC) linked to Crohn's disease (CD). These findings could lead to new culture-independent diagnostic tools for AIEC detection in patients.
Area of Science:
- Microbiology
- Genomics
- Gastroenterology
Background:
- Adherent-invasive Escherichia coli (AIEC) are frequently found in Crohn's disease (CD) lesions.
- AIEC exhibits adherence, invasion of intestinal cells, and intracellular survival within macrophages.
- Accurate identification of AIEC is crucial for understanding CD pathogenesis.
Purpose of the Study:
- To identify candidate transcripts distinguishing AIEC from non-invasive E. coli (NIEC).
- To explore potential culture-independent methods for AIEC identification.
- To uncover genetic signatures associated with AIEC in inflammatory bowel disease.
Main Methods:
- Comparative RNA-Sequence (RNASeq) analysis of AIEC strain LF82 and NIEC strain HS.
- Differential gene expression analysis during exponential and stationary growth phases.
- In silico subtractive genomics to identify AIEC-specific genes.
- Reverse transcription quantitative polymerase chain reaction (RT-qPCR) on patient samples.
Main Results:
- Significant differential expression of genes related to transition metal transport, siderophore metabolism, glycogen metabolism, and oxidation-reduction pathways in AIEC.
- Identification of 747 AIEC-specific coding sequences (CDS) and 166 CDS lacking homology in NIEC strains.
- Discovery of CRISPR-associated (Cas) gene loci and pdu operon genes enriched in AIEC.
- Higher expression of Cas loci in fecal and ileal RNA from CD patients compared to non-IBD controls.
Conclusions:
- Comparative genomic and transcriptomic approaches can identify AIEC signature transcripts.
- CRISPR-associated (Cas) genes show potential as biomarkers for AIEC in CD.
- These findings support the development of rapid, culture-independent AIEC detection methods.
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