Pampanga State Agricultural University

Office of the Library Services and Museum

Phylogeny Of 16s Ribosomal Rna And Virulence Genes Of "Eskape" Pathogens: An Jin-Silico Study (Record no. 15720)

MARC details
000 -LEADER
fixed length control field 02271ntm a2200169 a 4500
001 - CONTROL NUMBER
control field 134641
003 - CONTROL NUMBER IDENTIFIER
control field 0000000000
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250408094540.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230208n 000 0 eng d
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Gayola, Angelica P.
245 00 - TITLE STATEMENT
Title Phylogeny Of 16s Ribosomal Rna And Virulence Genes Of "Eskape" Pathogens: An Jin-Silico Study
Medium [manuscript] /
Statement of responsibility, etc. Angelica P. Gayola.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Magalang, Pampanga :
Name of publisher, distributor, etc. Pampanga State Agricultural University,
Date of publication, distribution, etc. July 2022.
300 ## - PHYSICAL DESCRIPTION
Extent 141 leaves ;
Dimensions 28 cm. + 1 computer disc (4 3/4 in.)
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Gayola, Angelica P. July 2022. PHYLOGENY OF 16S RIBOSOMAL RNA AND VIRULENCE GENES OF "ESKAPE" PATHOGENS: AN JIN-SILICO STUDY. BACHELOR OF SCIENCE IN BIOLOGY. Pampanga State Agricultural University. Adviser: Michael Angelo C. Nicdao, Ph.D. The "ESKAPE" pathogens are responsible for the majority of antibiotic resistance problems and hospitalizations worldwide. Phylogenetic analysis, a tool for determining the origins and early dissemination of a disease, has the potential to transform the battle against infectious disease outbreaks. Hence, the aim of this In-silico study was to examine the evolutionary relationship between /6S rRNA and the virulence genes of ""ESKAPE" pathogens acquired from NCBI GenBank. One hundred seventy eight sequences were obtained from nucleotide database. The sequences contain both the /6S rRNA and the specific virulence genes for each bacterium. They were aligned using BioEdit software and trees were constructed using MEGA 11. Phylogenetic trees revealed that the continent, country, human host disease, and year of bacterial isolation have no effect on DNA sequences of "ESKAPE" pathogens. 16S rRNA gene sequences did not cluster into groups similar to virulence gene sequences, regardless if both genes are from the same strain. Keywords: 16S rRNA gene, antimicrobial resistance (AMR), community-acquired infection (CAD), database, "ESKAPE" pathogens, healthcare-associated infection (HAD), NCBI GenBank, virulence genes, In-silico, phylogenetic relationship, sequence types (STs).
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Michael Angelo C. Nicdao,
Relator term Adviser.
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Total checkouts Full call number Barcode Date last seen Price effective from Koha item type
      Not for loan BS Biology PSAU OLM PSAU OLM Dissertation, Theses 02/08/2023   UT G28 2022 UT12574 04/08/2025 04/08/2025 Theses