Banca de QUALIFICAÇÃO: LEONARDO CABRAL AFONSO FERREIRA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : LEONARDO CABRAL AFONSO FERREIRA
DATE: 15/07/2022
TIME: 09:00
LOCAL: meet.google.com/eou-kbxc-mro
TITLE:

Using machine learning to find genetic bases associated with serological classification of bacteria in the Leptospira genus

KEY WORDS:

Leptospirosis; rfb locus; Lipopolysaccharides

PAGES: 25
BIG AREA: Ciências Biológicas
AREA: Biologia Geral
SUMMARY:

Leptospirosis is considered a zoonosis of worldwide importance due to its wide distribution and virulence, affecting both humans and animals of commercial interest. Caused by bacteria of the genus Leptospira and phylum Spirochaetes, contamination occurs through direct or indirect contact with the contaminating agent. They are usually classified based on their antigenic characteristics in serogroups and serovars, for the area of epidemiology and clinical analysis they are of great relevance. However, the methods used to perform this classification are considered laborious, require infrastructure and specialized labor, and require days to obtain results. In this study we aim to find genetic patterns associated with the serological classification of bacteria of the genus Leptospira, analyzing the genetic composition of the rfb locus and to propose methods that allow the classification of Leptospira samples at the serogroup level. For this, we used genomic data from 67 species classified in 26 serogroups that are distributed in 722 samples available in the public database. We identified the genes that are part of the rfb locus through the ortholog groups in the samples that contained the intact rfb locus in a single contig. We used a hierarchical clustering method to group samples that had similar profiles in the gene composition of the rfb locus. In this preliminary analysis, it was possible to verify an overview of the diversity of the profile of the genetic composition of the rfb locus in the genus Leptospira and to observe correspondence between the classification into serogroups and the groups formed by the hierarchical cluster.

COMMITTEE MEMBERS:
Presidente - 3063244 - TETSU SAKAMOTO
Interno - 2170415 - Jorge Estefano de Santana Souza
Externa ao Programa - 350647 - SELMA MARIA BEZERRA JERONIMO - UFRN