Cargando…

Phylogenetic lineages of tuberculosis isolates and their association with patient demographics in Tanzania

BACKGROUND: Mycobacterium tuberculosis presents several lineages each with distinct characteristics of evolutionary status, transmissibility, drug resistance, host interaction, latency, and vaccine efficacy. Whole genome sequencing (WGS) has emerged as a new diagnostic tool to reliably inform the oc...

Descripción completa

Detalles Bibliográficos
Autores principales: Mutayoba, Beatrice Kemilembe, Michael Hoelscher, Heinrich, Norbert, Joloba, Moses L., Lyamuya, Eligius, Kilale, Andrew Martin, Range, Nyagosya Segere, Ngowi, Bernard James, Ntinginya, Nyanda Elias, Mfaume, Saidi Mwinjuma, Wilfred, Amani, Doulla, Basra, Lyimo, Johnson, Kisonga, Riziki, Kingalu, Amri, Kabahita, Jupiter Marina, Guido, Ocung, Kabugo, Joel, Adam, Isa, Luutu, Moses, Namaganda, Maria Magdalene, Namutebi, Joanitah, Kasule, George William, Nakato, Hasfah, Byabajungu, Henry, Lutaaya, Pius, Musisi, Kenneth, Oola, Denis, Mboowa, Gerald, Pletschette, Michel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356438/
https://www.ncbi.nlm.nih.gov/pubmed/35931954
http://dx.doi.org/10.1186/s12864-022-08791-3
_version_ 1784763517801332736
author Mutayoba, Beatrice Kemilembe
Michael Hoelscher
Heinrich, Norbert
Joloba, Moses L.
Lyamuya, Eligius
Kilale, Andrew Martin
Range, Nyagosya Segere
Ngowi, Bernard James
Ntinginya, Nyanda Elias
Mfaume, Saidi Mwinjuma
Wilfred, Amani
Doulla, Basra
Lyimo, Johnson
Kisonga, Riziki
Kingalu, Amri
Kabahita, Jupiter Marina
Guido, Ocung
Kabugo, Joel
Adam, Isa
Luutu, Moses
Namaganda, Maria Magdalene
Namutebi, Joanitah
Kasule, George William
Nakato, Hasfah
Byabajungu, Henry
Lutaaya, Pius
Musisi, Kenneth
Oola, Denis
Mboowa, Gerald
Pletschette, Michel
author_facet Mutayoba, Beatrice Kemilembe
Michael Hoelscher
Heinrich, Norbert
Joloba, Moses L.
Lyamuya, Eligius
Kilale, Andrew Martin
Range, Nyagosya Segere
Ngowi, Bernard James
Ntinginya, Nyanda Elias
Mfaume, Saidi Mwinjuma
Wilfred, Amani
Doulla, Basra
Lyimo, Johnson
Kisonga, Riziki
Kingalu, Amri
Kabahita, Jupiter Marina
Guido, Ocung
Kabugo, Joel
Adam, Isa
Luutu, Moses
Namaganda, Maria Magdalene
Namutebi, Joanitah
Kasule, George William
Nakato, Hasfah
Byabajungu, Henry
Lutaaya, Pius
Musisi, Kenneth
Oola, Denis
Mboowa, Gerald
Pletschette, Michel
author_sort Mutayoba, Beatrice Kemilembe
collection PubMed
description BACKGROUND: Mycobacterium tuberculosis presents several lineages each with distinct characteristics of evolutionary status, transmissibility, drug resistance, host interaction, latency, and vaccine efficacy. Whole genome sequencing (WGS) has emerged as a new diagnostic tool to reliably inform the occurrence of phylogenetic lineages of Mycobacterium tuberculosis and examine their relationship with patient demographic characteristics and multidrug-resistance development. METHODS: 191 Mycobacterium tuberculosis isolates obtained from a 2017/2018 Tanzanian drug resistance survey were sequenced on the Illumina Miseq platform at Supranational Tuberculosis Reference Laboratory in Uganda. Obtained fast-q files were imported into tools for resistance profiling and lineage inference (Kvarq v0.12.2, Mykrobe v0.8.1 and TBprofiler v3.0.5). Additionally for phylogenetic tree construction, RaxML-NG v1.0.3(25) was used to generate a maximum likelihood phylogeny with 800 bootstrap replicates. The resulting trees were plotted, annotated and visualized using ggtree v2.0.4 RESULTS: Most [172(90.0%)] of the isolates were from newly treated Pulmonary TB patients. Coinfection with HIV was observed in 33(17.3%) TB patients. Of the 191 isolates, 22(11.5%) were resistant to one or more commonly used first line anti-TB drugs (FLD), 9(4.7%) isolates were MDR-TB while 3(1.6%) were resistant to all the drugs. Of the 24 isolates with any resistance conferring mutations, 13(54.2%) and 10(41.6%) had mutations in genes associated with resistance to INH and RIF respectively. The findings also show four major lineages i.e. Lineage 3[81 (42.4%)], followed by Lineage 4 [74 (38.7%)], the Lineage 1 [23 (12.0%)] and Lineages 2 [13 (6.8%)] circulaing in Tanzania. CONCLUSION: The findings in this study show that Lineage 3 is the most prevalent lineage in Tanzania whereas drug resistant mutations were more frequent among isolates that belonged to Lineage 4. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08791-3.
format Online
Article
Text
id pubmed-9356438
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-93564382022-08-07 Phylogenetic lineages of tuberculosis isolates and their association with patient demographics in Tanzania Mutayoba, Beatrice Kemilembe Michael Hoelscher Heinrich, Norbert Joloba, Moses L. Lyamuya, Eligius Kilale, Andrew Martin Range, Nyagosya Segere Ngowi, Bernard James Ntinginya, Nyanda Elias Mfaume, Saidi Mwinjuma Wilfred, Amani Doulla, Basra Lyimo, Johnson Kisonga, Riziki Kingalu, Amri Kabahita, Jupiter Marina Guido, Ocung Kabugo, Joel Adam, Isa Luutu, Moses Namaganda, Maria Magdalene Namutebi, Joanitah Kasule, George William Nakato, Hasfah Byabajungu, Henry Lutaaya, Pius Musisi, Kenneth Oola, Denis Mboowa, Gerald Pletschette, Michel BMC Genomics Research BACKGROUND: Mycobacterium tuberculosis presents several lineages each with distinct characteristics of evolutionary status, transmissibility, drug resistance, host interaction, latency, and vaccine efficacy. Whole genome sequencing (WGS) has emerged as a new diagnostic tool to reliably inform the occurrence of phylogenetic lineages of Mycobacterium tuberculosis and examine their relationship with patient demographic characteristics and multidrug-resistance development. METHODS: 191 Mycobacterium tuberculosis isolates obtained from a 2017/2018 Tanzanian drug resistance survey were sequenced on the Illumina Miseq platform at Supranational Tuberculosis Reference Laboratory in Uganda. Obtained fast-q files were imported into tools for resistance profiling and lineage inference (Kvarq v0.12.2, Mykrobe v0.8.1 and TBprofiler v3.0.5). Additionally for phylogenetic tree construction, RaxML-NG v1.0.3(25) was used to generate a maximum likelihood phylogeny with 800 bootstrap replicates. The resulting trees were plotted, annotated and visualized using ggtree v2.0.4 RESULTS: Most [172(90.0%)] of the isolates were from newly treated Pulmonary TB patients. Coinfection with HIV was observed in 33(17.3%) TB patients. Of the 191 isolates, 22(11.5%) were resistant to one or more commonly used first line anti-TB drugs (FLD), 9(4.7%) isolates were MDR-TB while 3(1.6%) were resistant to all the drugs. Of the 24 isolates with any resistance conferring mutations, 13(54.2%) and 10(41.6%) had mutations in genes associated with resistance to INH and RIF respectively. The findings also show four major lineages i.e. Lineage 3[81 (42.4%)], followed by Lineage 4 [74 (38.7%)], the Lineage 1 [23 (12.0%)] and Lineages 2 [13 (6.8%)] circulaing in Tanzania. CONCLUSION: The findings in this study show that Lineage 3 is the most prevalent lineage in Tanzania whereas drug resistant mutations were more frequent among isolates that belonged to Lineage 4. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08791-3. BioMed Central 2022-08-05 /pmc/articles/PMC9356438/ /pubmed/35931954 http://dx.doi.org/10.1186/s12864-022-08791-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Mutayoba, Beatrice Kemilembe
Michael Hoelscher
Heinrich, Norbert
Joloba, Moses L.
Lyamuya, Eligius
Kilale, Andrew Martin
Range, Nyagosya Segere
Ngowi, Bernard James
Ntinginya, Nyanda Elias
Mfaume, Saidi Mwinjuma
Wilfred, Amani
Doulla, Basra
Lyimo, Johnson
Kisonga, Riziki
Kingalu, Amri
Kabahita, Jupiter Marina
Guido, Ocung
Kabugo, Joel
Adam, Isa
Luutu, Moses
Namaganda, Maria Magdalene
Namutebi, Joanitah
Kasule, George William
Nakato, Hasfah
Byabajungu, Henry
Lutaaya, Pius
Musisi, Kenneth
Oola, Denis
Mboowa, Gerald
Pletschette, Michel
Phylogenetic lineages of tuberculosis isolates and their association with patient demographics in Tanzania
title Phylogenetic lineages of tuberculosis isolates and their association with patient demographics in Tanzania
title_full Phylogenetic lineages of tuberculosis isolates and their association with patient demographics in Tanzania
title_fullStr Phylogenetic lineages of tuberculosis isolates and their association with patient demographics in Tanzania
title_full_unstemmed Phylogenetic lineages of tuberculosis isolates and their association with patient demographics in Tanzania
title_short Phylogenetic lineages of tuberculosis isolates and their association with patient demographics in Tanzania
title_sort phylogenetic lineages of tuberculosis isolates and their association with patient demographics in tanzania
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356438/
https://www.ncbi.nlm.nih.gov/pubmed/35931954
http://dx.doi.org/10.1186/s12864-022-08791-3
work_keys_str_mv AT mutayobabeatricekemilembe phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT michaelhoelscher phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT heinrichnorbert phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT jolobamosesl phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT lyamuyaeligius phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT kilaleandrewmartin phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT rangenyagosyasegere phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT ngowibernardjames phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT ntinginyanyandaelias phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT mfaumesaidimwinjuma phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT wilfredamani phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT doullabasra phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT lyimojohnson phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT kisongariziki phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT kingaluamri phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT kabahitajupitermarina phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT guidoocung phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT kabugojoel phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT adamisa phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT luutumoses phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT namagandamariamagdalene phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT namutebijoanitah phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT kasulegeorgewilliam phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT nakatohasfah phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT byabajunguhenry phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT lutaayapius phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT musisikenneth phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT ooladenis phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT mboowagerald phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania
AT pletschettemichel phylogeneticlineagesoftuberculosisisolatesandtheirassociationwithpatientdemographicsintanzania