Transcriptome dataset of Caenorhabditis elegans responses to varied microbial pathogens

Abstract

Transcriptome analysis through next-generation sequencing (NGS) is an invaluable tool for investigating changes in gene expression across diverse organisms. The nematode Caenorhabditis elegans (C. elegans) serves as an excellent model organism for dissecting host responses to bacterial infections. Here, our dataset obtained from bulk RNA-sequencing (RNA-seq) can be used to provide in-depth characterization of the mRNA transcriptome profiles of wild-type N2 animals and null mutants of the cytoskeletal regulatory gene unc-53/Nav2 following exposure to distinct bacterial environments: their natural laboratory food source, Escherichia coli OP50, the human and nematode pathogen Pseudomonas aeruginosa PA14, and the emerging pathogen Elizabethkingia anophelis Ag1. As proof of the dataset quality, downstream differential gene expression analysis reveals significant shifts in gene expression patterns within N2 and unc-53 mutants under varying bacterial conditions that will be useful for our companion studies investigating these pathways. These data provide an effective methodological framework for future investigators to investigate the interplay between cytoskeletal proteins and the innate immune response. The raw FASTQ files generated from our transcriptome experiment is deposited in the publicly available NCBI Sequence Read Archive (SRA) under the BioProject accession number PRJNA1010192, for further exploration and validation by the C. elegans research community.

Keywords

• Transcriptomics
• unc-53, NAV2
• Innate immunity
• Escherichia coli OP50
• Pseudomonas aeruginosa PA14
• Elizabethkingia anophelis Ag1