Presentation Type
Poster
Full Name of Faculty Mentor
Megan Cevasco, Biology
Major
Biochemistry
Presentation Abstract
Bacteriophage research is increasingly important to perform as antibacterial resistance becomes more common. The novel phage DuncansLeg was isolated and sequenced by students in the HHMI SEA-PHAGES Phage Discovery course in the fall of 2021 at Coastal Carolina University's campus. The DNA sequence of DuncansLeg (75,593 base pairs) was subjected to bioinformatic auto-annotation, which placed the phage into subcluster L3. The scope of this investigation goes beyond lab work and discovery, instead focusing on applying multiple bioinformatic approaches to refine the genomic auto-annotation and assign potential gene functions where possible. To this end, the bioinformatic programs used to identify coding potential and gene starts were DNA Master, GeneMark, Starterator, and Phamerator. For the assignment of gene functions, pBLAST, HHpred, and synteny data were used in combination to provide evidence for functionality if possible. PECAAN software was then used to centralize data for further analytics. The results of these analyses and specific genomic regions will be discussed in this presentation of data.
Location
Poster Session 2
Start Date
13-4-2022 4:30 PM
End Date
13-4-2022 6:30 PM
Disciplines
Biology
Recommended Citation
Hadwin, Connor and Moore, Michael, "Bioinformatic Investigation into Mycobacterium phage DuncansLeg" (2022). Undergraduate Research Competition. 33.
https://digitalcommons.coastal.edu/ugrc/2022/fullconference/33
Included in
Bioinformatic Investigation into Mycobacterium phage DuncansLeg
Poster Session 2
Bacteriophage research is increasingly important to perform as antibacterial resistance becomes more common. The novel phage DuncansLeg was isolated and sequenced by students in the HHMI SEA-PHAGES Phage Discovery course in the fall of 2021 at Coastal Carolina University's campus. The DNA sequence of DuncansLeg (75,593 base pairs) was subjected to bioinformatic auto-annotation, which placed the phage into subcluster L3. The scope of this investigation goes beyond lab work and discovery, instead focusing on applying multiple bioinformatic approaches to refine the genomic auto-annotation and assign potential gene functions where possible. To this end, the bioinformatic programs used to identify coding potential and gene starts were DNA Master, GeneMark, Starterator, and Phamerator. For the assignment of gene functions, pBLAST, HHpred, and synteny data were used in combination to provide evidence for functionality if possible. PECAAN software was then used to centralize data for further analytics. The results of these analyses and specific genomic regions will be discussed in this presentation of data.