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Transcriptome of Streptococcus Parauberis in Varying Host Environments

Undergraduate #125
Discipline: Biological Sciences
Subcategory: Microbiology/Immunology/Virology

Ezekiel Wamble - Norfolk State University
Co-Author(s): *Ezekiel Wamble, Lauren Karr, Dr. Ashley Haines. Norfolk State University, Department of Biology, Norfolk, VA



Streptococcus parauberis is a gram positive, facultative anaerobe that occurs in pairs or chains of cocci. This bacterium is capable of adapting to life in homoeothermic and poikilothermic animal hosts, soil, water, and other environments. As such, it is known as an environmental generalist. S. parauberis is able to adapt due to mutations, acquisition of new genes, and regulation of gene expression. The purpose of this study is to understand the effects that temperature and host serum have on gene expression in S. parauberis. We hypothesize that cultures of S. parauberis grown in the presence of Fetal Bovine Serum will increase expression of specific stress response and virulence genes. Using RNA seq data, we have analyzed gene expression by aligning reads to a reference genome. For each sample comparison, the range of differentially expressed genes is from 50 to 1000 genes. Once differentially expressed gene have been identified, their functions are determined. As hypothesized, we have identified different metabolic and virulence genes within the comparisons. This information will improve our understanding of how Streptococcal bacteria adapt to different host environments. It will also build our knowledge base of basic cellular processes, and help identify new avenues for controlling microbial growth.

Not Submitted

Funder Acknowledgement(s): Supported by Thurgood Marshall College Fund (TMCF) grant #325005 and National Science Foundation (NSF) grant #1505348.

Faculty Advisor: Dr. Ashley Haines, anhaines@nsu.edu

Role: Cultured S. Parauberis in different conditions to understand the effects that temperature and host serum have on gene expression in S. parauberis. Using RNA seq data, we have analyzed gene expression by aligning reads to a reference genome. For each sample comparison, the range of differentially expressed genes is from 50 to 1000 genes. Once differentially expressed gene have been identified, their functions are determined.

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This material is based upon work supported by the National Science Foundation (NSF) under Grant No. DUE-1930047. Any opinions, findings, interpretations, conclusions or recommendations expressed in this material are those of its authors and do not represent the views of the AAAS Board of Directors, the Council of AAAS, AAAS’ membership or the National Science Foundation.

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