Transcriptome analysis of Variovorax strains under different growth conditions

Poster Number

2C

Lead Author Major

Music Therapy

Lead Author Status

Senior

Second Author Major

Biological Sciences

Second Author Status

Senior

Format

Poster Presentation

Faculty Mentor Name

Paul Orwin

Faculty Mentor Department

Biological Sciences

Abstract/Artist Statement

Variovorax paradoxus and related species are gram-negative beta proteobacteria thought to be important in the formation of the rhizosphere community, as well as sources of biotechnologically relevant enzymatic activities. Isolates from this phylogentic group have been shown to promote plant growth while exhibiting diverse morphological, physiological, and metabolic characteristics under varied conditions. Previous studies in the Orwin lab have mapped the complete multipartite genomes of several Variovorax isolates and identified potential target genes for biofilm formation in a preliminary analysis of the static biofilm transcriptome of V. paradoxus EPS. In this study we use a similar approach to identify important genes differentially regulated in biofilms of related Variovorax strains. Our hypothesis is that there will be some degree of common genetic programming responsible for biofilm formation in Variovorax. We are also interested in comparing gene regulation across the different replicons using a comparative transcriptomic analysis, with an emphasis on toxin-antitoxin (TA) gene pairs. Triplicate biological samples from log phase planktonic and static biofilm cultures were imaged and tracked for growth for seven V. paradoxus strains (4MfCol3.1, 110B, MF350, NFACC26, ATCC 17713(NBRC 15149), EPS, and VAI-C) in 2.5 g/L YE media. RNA was extracted from each sample and 20-30 million paired end reads (2x150bp) were acquired from each. A secondary species-specific rRNA depletion was performed before genome alignment. Prokka annotations were used to identify the genes within the replicons. Based on PCoA clustering, we observed substantial variation between the alternative conditions and a large set of genes with altered expression.

Location

Information Commons, William Knox Holt Memorial Library and Learning Center

Start Date

29-4-2023 10:00 AM

End Date

29-4-2023 1:00 PM

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Apr 29th, 10:00 AM Apr 29th, 1:00 PM

Transcriptome analysis of Variovorax strains under different growth conditions

Information Commons, William Knox Holt Memorial Library and Learning Center

Variovorax paradoxus and related species are gram-negative beta proteobacteria thought to be important in the formation of the rhizosphere community, as well as sources of biotechnologically relevant enzymatic activities. Isolates from this phylogentic group have been shown to promote plant growth while exhibiting diverse morphological, physiological, and metabolic characteristics under varied conditions. Previous studies in the Orwin lab have mapped the complete multipartite genomes of several Variovorax isolates and identified potential target genes for biofilm formation in a preliminary analysis of the static biofilm transcriptome of V. paradoxus EPS. In this study we use a similar approach to identify important genes differentially regulated in biofilms of related Variovorax strains. Our hypothesis is that there will be some degree of common genetic programming responsible for biofilm formation in Variovorax. We are also interested in comparing gene regulation across the different replicons using a comparative transcriptomic analysis, with an emphasis on toxin-antitoxin (TA) gene pairs. Triplicate biological samples from log phase planktonic and static biofilm cultures were imaged and tracked for growth for seven V. paradoxus strains (4MfCol3.1, 110B, MF350, NFACC26, ATCC 17713(NBRC 15149), EPS, and VAI-C) in 2.5 g/L YE media. RNA was extracted from each sample and 20-30 million paired end reads (2x150bp) were acquired from each. A secondary species-specific rRNA depletion was performed before genome alignment. Prokka annotations were used to identify the genes within the replicons. Based on PCoA clustering, we observed substantial variation between the alternative conditions and a large set of genes with altered expression.