K-mer applied in Mycobacterium tuberculosis genome cluster analysis

Detalhes bibliográficos
Autor(a) principal: Ferreira,Leila Maria
Data de Publicação: 2024
Outros Autores: Sáfadi,Thelma, Ferreira,Juliano Lino
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Biology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842024000100344
Resumo: Abstract According to studies carried out, approximately 10 million people developed tuberculosis in 2018. Of this total, 1.5 million people died from the disease. To study the behavior of the genome sequences of Mycobacterium tuberculosis (MTB), the bacterium responsible for the development of tuberculosis (TB), an analysis was performed using k-mers (DNA word frequency). The k values ranged from 1 to 10, because the analysis was performed on the full length of the sequences, where each sequence is composed of approximately 4 million base pairs, k values above 10, the analysis is interrupted, as consequence of the program's capacity. The aim of this work was to verify the formation of the phylogenetic tree in each k-mer analyzed. The results showed the formation of distinct groups in some k-mers analyzed, taking into account the threshold line. However, in all groups, the multidrug-resistant (MDR) and extensively drug-resistant (XDR) strains remained together and separated from the other strains.
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spelling K-mer applied in Mycobacterium tuberculosis genome cluster analysisDNA word frequencygenomesimilar sequencesAbstract According to studies carried out, approximately 10 million people developed tuberculosis in 2018. Of this total, 1.5 million people died from the disease. To study the behavior of the genome sequences of Mycobacterium tuberculosis (MTB), the bacterium responsible for the development of tuberculosis (TB), an analysis was performed using k-mers (DNA word frequency). The k values ranged from 1 to 10, because the analysis was performed on the full length of the sequences, where each sequence is composed of approximately 4 million base pairs, k values above 10, the analysis is interrupted, as consequence of the program's capacity. The aim of this work was to verify the formation of the phylogenetic tree in each k-mer analyzed. The results showed the formation of distinct groups in some k-mers analyzed, taking into account the threshold line. However, in all groups, the multidrug-resistant (MDR) and extensively drug-resistant (XDR) strains remained together and separated from the other strains.Instituto Internacional de Ecologia2024-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842024000100344Brazilian Journal of Biology v.84 2024reponame:Brazilian Journal of Biologyinstname:Instituto Internacional de Ecologia (IIE)instacron:IIE10.1590/1519-6984.258258info:eu-repo/semantics/openAccessFerreira,Leila MariaSáfadi,ThelmaFerreira,Juliano Linoeng2022-06-23T00:00:00Zoai:scielo:S1519-69842024000100344Revistahttps://www.scielo.br/j/bjb/https://old.scielo.br/oai/scielo-oai.phpbjb@bjb.com.br||bjb@bjb.com.br1678-43751519-6984opendoar:2022-06-23T00:00Brazilian Journal of Biology - Instituto Internacional de Ecologia (IIE)false
dc.title.none.fl_str_mv K-mer applied in Mycobacterium tuberculosis genome cluster analysis
title K-mer applied in Mycobacterium tuberculosis genome cluster analysis
spellingShingle K-mer applied in Mycobacterium tuberculosis genome cluster analysis
Ferreira,Leila Maria
DNA word frequency
genome
similar sequences
title_short K-mer applied in Mycobacterium tuberculosis genome cluster analysis
title_full K-mer applied in Mycobacterium tuberculosis genome cluster analysis
title_fullStr K-mer applied in Mycobacterium tuberculosis genome cluster analysis
title_full_unstemmed K-mer applied in Mycobacterium tuberculosis genome cluster analysis
title_sort K-mer applied in Mycobacterium tuberculosis genome cluster analysis
author Ferreira,Leila Maria
author_facet Ferreira,Leila Maria
Sáfadi,Thelma
Ferreira,Juliano Lino
author_role author
author2 Sáfadi,Thelma
Ferreira,Juliano Lino
author2_role author
author
dc.contributor.author.fl_str_mv Ferreira,Leila Maria
Sáfadi,Thelma
Ferreira,Juliano Lino
dc.subject.por.fl_str_mv DNA word frequency
genome
similar sequences
topic DNA word frequency
genome
similar sequences
description Abstract According to studies carried out, approximately 10 million people developed tuberculosis in 2018. Of this total, 1.5 million people died from the disease. To study the behavior of the genome sequences of Mycobacterium tuberculosis (MTB), the bacterium responsible for the development of tuberculosis (TB), an analysis was performed using k-mers (DNA word frequency). The k values ranged from 1 to 10, because the analysis was performed on the full length of the sequences, where each sequence is composed of approximately 4 million base pairs, k values above 10, the analysis is interrupted, as consequence of the program's capacity. The aim of this work was to verify the formation of the phylogenetic tree in each k-mer analyzed. The results showed the formation of distinct groups in some k-mers analyzed, taking into account the threshold line. However, in all groups, the multidrug-resistant (MDR) and extensively drug-resistant (XDR) strains remained together and separated from the other strains.
publishDate 2024
dc.date.none.fl_str_mv 2024-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842024000100344
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842024000100344
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1519-6984.258258
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto Internacional de Ecologia
publisher.none.fl_str_mv Instituto Internacional de Ecologia
dc.source.none.fl_str_mv Brazilian Journal of Biology v.84 2024
reponame:Brazilian Journal of Biology
instname:Instituto Internacional de Ecologia (IIE)
instacron:IIE
instname_str Instituto Internacional de Ecologia (IIE)
instacron_str IIE
institution IIE
reponame_str Brazilian Journal of Biology
collection Brazilian Journal of Biology
repository.name.fl_str_mv Brazilian Journal of Biology - Instituto Internacional de Ecologia (IIE)
repository.mail.fl_str_mv bjb@bjb.com.br||bjb@bjb.com.br
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