In vivotranscriptome analysis provides insights into host-dependent expression of virulence factors byYersinia entomophagaMH96, during infection ofGalleria mellonella

Author:

Paulson Amber R123ORCID,O’Callaghan Maureen1,Zhang Xue-Xian4,Rainey Paul B256ORCID,Hurst Mark R H1

Affiliation:

1. Forage Science, AgResearch Ltd., Lincoln 8140, New Zealand

2. New Zealand Institute for Advanced Study, Massey University, Auckland 0745, New Zealand

3. Department of Biology, Queen’s University, Kingston, ON K7L 3N6, Canada

4. School of Natural and Computational Sciences, Massey University, Auckland 0745, New Zealand

5. Laboratoire de Génétique de l’Evolution CBI, ESPCI Paris, Université PSL, CNRS, Paris 75005, France

6. Department of Microbial Population Biology, Max Planck Institute for Evolutionary Biology, Plön 24306, Germany

Abstract

AbstractThe function of microbes can be inferred from knowledge of genes specifically expressed in natural environments. Here, we report the in vivo transcriptome of the entomopathogenic bacterium Yersinia entomophaga MH96, captured during initial, septicemic, and pre-cadaveric stages of intrahemocoelic infection in Galleria mellonella. A total of 1285 genes were significantly upregulated by MH96 during infection; 829 genes responded to in vivo conditions during at least one stage of infection, 289 responded during two stages of infection, and 167 transcripts responded throughout all three stages of infection compared to in vitro conditions at equivalent cell densities. Genes upregulated during the earliest infection stage included components of the insecticidal toxin complex Yen-TC (chi1, chi2, and yenC1), genes for rearrangement hotspot element containing protein yenC3, cytolethal distending toxin cdtAB, and vegetative insecticidal toxin vip2. Genes more highly expressed throughout the infection cycle included the putative heat-stable enterotoxin yenT and three adhesins (usher-chaperone fimbria, filamentous hemagglutinin, and an AidA-like secreted adhesin). Clustering and functional enrichment of gene expression data also revealed expression of genes encoding type III and VI secretion system-associated effectors. Together these data provide insight into the pathobiology of MH96 and serve as an important resource supporting efforts to identify novel insecticidal agents.

Funder

Next Generation Biopesticides Programme, funded by the New Zealand Ministry for Business, Innovation and Employment

Canadian National Science and Engineering Council for Postgraduate Scholarship-Doctoral Program

Universities New Zealand—Te Pōkai Tara via Massey University provided support in the form of student scholarships

Publisher

Oxford University Press (OUP)

Subject

Genetics (clinical),Genetics,Molecular Biology

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