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Machado E, Vasconcellos S, Gomes L, Catanho M, Ramos J, de Carvalho L, Goldenberg T, Redner P, Caldas P, Campos C, Dalcolmo M, Lourenço MC, Lasunskaia E, Mussi V, Spinassé L, Vinhas S, Rigouts L, Cogneau S, de Rijk P, Utpatel C, Kaustova J, van der Laan T, de Neeling H, Rastogi N, Levina K, Kütt M, Mokrousov I, Zhuravlev V, Makhado N, Žolnir-Dovč M, Jankovic V, de Waard J, Sisco MC, van Soolingen D, Niemann S, de Jong BC, Meehan CJ, Suffys P. Phylogenomic and genomic analysis reveals unique and shared genetic signatures of Mycobacterium kansasii complex species. Microb Genom 2024; 10:001266. [PMID: 39016539 PMCID: PMC11316565 DOI: 10.1099/mgen.0.001266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 06/13/2024] [Indexed: 07/18/2024] Open
Abstract
Species belonging to the Mycobacterium kansasii complex (MKC) are frequently isolated from humans and the environment and can cause serious diseases. The most common MKC infections are caused by the species M. kansasii (sensu stricto), leading to tuberculosis-like disease. However, a broad spectrum of virulence, antimicrobial resistance and pathogenicity of these non-tuberculous mycobacteria (NTM) are observed across the MKC. Many genomic aspects of the MKC that relate to these broad phenotypes are not well elucidated. Here, we performed genomic analyses from a collection of 665 MKC strains, isolated from environmental, animal and human sources. We inferred the MKC pangenome, mobilome, resistome, virulome and defence systems and show that the MKC species harbours unique and shared genomic signatures. High frequency of presence of prophages and different types of defence systems were observed. We found that the M. kansasii species splits into four lineages, of which three are lowly represented and mainly in Brazil, while one lineage is dominant and globally spread. Moreover, we show that four sub-lineages of this most distributed M. kansasii lineage emerged during the twentieth century. Further analysis of the M. kansasii genomes revealed almost 300 regions of difference contributing to genomic diversity, as well as fixed mutations that may explain the M. kansasii's increased virulence and drug resistance.
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Affiliation(s)
- Edson Machado
- Laboratório de Biologia Molecular Aplicada a Micobactérias, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, RJ, Brazil
| | - Sidra Vasconcellos
- Laboratório de Biologia Molecular Aplicada a Micobactérias, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, RJ, Brazil
| | - Lia Gomes
- Laboratório de Biologia Molecular Aplicada a Micobactérias, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, RJ, Brazil
| | - Marcos Catanho
- Laboratório de Genética Molecular de Microrganismos, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, RJ, Brazil
| | - Jesus Ramos
- Laboratório de Referência Nacional para Tuberculose, Centro de Referência Professor Hélio Fraga, Escola Nacional de Saúde Pública, Fiocruz, Rio de Janeiro, RJ, Brazil
| | - Luciana de Carvalho
- Laboratório de Referência Nacional para Tuberculose, Centro de Referência Professor Hélio Fraga, Escola Nacional de Saúde Pública, Fiocruz, Rio de Janeiro, RJ, Brazil
| | - Telma Goldenberg
- Laboratório de Referência Nacional para Tuberculose, Centro de Referência Professor Hélio Fraga, Escola Nacional de Saúde Pública, Fiocruz, Rio de Janeiro, RJ, Brazil
| | - Paulo Redner
- Laboratório de Referência Nacional para Tuberculose, Centro de Referência Professor Hélio Fraga, Escola Nacional de Saúde Pública, Fiocruz, Rio de Janeiro, RJ, Brazil
| | - Paulo Caldas
- Laboratório de Referência Nacional para Tuberculose, Centro de Referência Professor Hélio Fraga, Escola Nacional de Saúde Pública, Fiocruz, Rio de Janeiro, RJ, Brazil
| | - Carlos Campos
- Laboratório de Referência Nacional para Tuberculose, Centro de Referência Professor Hélio Fraga, Escola Nacional de Saúde Pública, Fiocruz, Rio de Janeiro, RJ, Brazil
| | - Margareth Dalcolmo
- Serviço de Pesquisa Clínica, Centro de Referência Professor Hélio Fraga, Escola Nacional de Saúde Pública, Fiocruz, Rio de Janeiro, RJ, Brazil
| | - Maria Cristina Lourenço
- Laboratório de Bacteriologia e Bioensaios, Instituto Nacional de Infectologia, Fiocruz, Rio de Janeiro, RJ, Brazil
| | - Elena Lasunskaia
- Laboratório de Biologia do Reconhecer, Universidade Estadual do Norte Fluminense Darcy Ribeiro, Campos dos Goytacazes, RJ, Brazil
| | - Vinicius Mussi
- Laboratório de Biologia do Reconhecer, Universidade Estadual do Norte Fluminense Darcy Ribeiro, Campos dos Goytacazes, RJ, Brazil
| | - Lizania Spinassé
- Núcleo de Doenças Infecciosas, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
| | - Solange Vinhas
- Núcleo de Doenças Infecciosas, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
| | - Leen Rigouts
- Unit of Mycobacteriology, Institute of Tropical Medicine, Antwerp, Belgium
| | - Sari Cogneau
- Unit of Mycobacteriology, Institute of Tropical Medicine, Antwerp, Belgium
| | - Pim de Rijk
- Unit of Mycobacteriology, Institute of Tropical Medicine, Antwerp, Belgium
| | - Christian Utpatel
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research, Partner Site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany
| | - Jarmila Kaustova
- Department of Diagnostic Mycobacterioses, Regional Institute of Public Health, Ostrava, Czech Republic
| | - Tridia van der Laan
- National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Han de Neeling
- National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Nalin Rastogi
- TB and Mycobacteria Unit, Institut Pasteur de Guadeloupe, Guadeloupe, France
| | - Klavdia Levina
- Mycobacteriology Section of Microbiology Laboratory, North Estonia Medical Centre, Tallinn, Estonia
| | - Marge Kütt
- Mycobacteriology Section of Microbiology Laboratory, North Estonia Medical Centre, Tallinn, Estonia
| | - Igor Mokrousov
- Laboratory of Molecular Epidemiology and Evolutionary Genetics, St. Petersburg Pasteur Institute, St. Petersburg, Russia
| | - Viacheslav Zhuravlev
- St. Petersburg Research Institute of Phthisiopulmonology, St. Petersburg, Russia
| | - Ndivhu Makhado
- Unit of Mycobacteriology, Institute of Tropical Medicine, Antwerp, Belgium
- Department of Microbiological Pathology, Sefako Makgatho Health Sciences University, Pretoria, South Africa
- National Health Laboratory Service, Dr George Mukhari Tertiary Laboratory, Medical Microbiology, Pretoria, South Africa
- Global Institute of Health, University of Antwerp, Antwerp, Belgium
| | - Manca Žolnir-Dovč
- National Reference Laboratory for Mycobacteria, University Clinic of Respiratory and Allergic Diseases, Golnik, Slovenia
| | - Vera Jankovic
- Mycobacteria Reference Laboratory, Croatian National Institute of Public Health, Zagreb, Croatia
| | - Jacobus de Waard
- Tuberculosis Department. Servicio Autónomo Instituto de Biomedicina Dr. Jacinto Convit, Universidad Central de Venezuela, Caracas, Venezuela
- One Health Research Group, Universidad de Las Américas, Quito, Ecuador
| | - Maria Carolina Sisco
- Tuberculosis Department. Servicio Autónomo Instituto de Biomedicina Dr. Jacinto Convit, Universidad Central de Venezuela, Caracas, Venezuela
| | - Dick van Soolingen
- National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Stefan Niemann
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research, Partner Site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany
| | - Bouke C. de Jong
- Unit of Mycobacteriology, Institute of Tropical Medicine, Antwerp, Belgium
| | - Conor J. Meehan
- Unit of Mycobacteriology, Institute of Tropical Medicine, Antwerp, Belgium
- Department of Biosciences, Nottingham Trent University, Nottingham, UK
| | - Philip Suffys
- Laboratório de Biologia Molecular Aplicada a Micobactérias, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, RJ, Brazil
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Youngblom MA, Imhoff MR, Smyth LM, Mohamed MA, Pepperell CS. Portrait of a generalist bacterium: pathoadaptation, metabolic specialization and extreme environments shape diversity of Staphylococcus saprophyticus. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.18.553882. [PMID: 37645846 PMCID: PMC10462137 DOI: 10.1101/2023.08.18.553882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Staphylococcus saprophyticus is a Gram-positive, coagulase-negative staphylococcus found in diverse environments including soil and freshwater, meat, and dairy foods. S. saprophyticus is also an important cause of urinary tract infections (UTIs) in humans, and mastitis in cattle. However, the genetic determinants of virulence have not yet been identified, and it remains unclear whether there are distinct sub-populations adapted to human and animal hosts. Using a diverse sample of S. saprophyticus isolates from food, animals, environmental sources, and human infections, we characterized the population structure and diversity of global populations of S. saprophyticus . We found that divergence of the two major clades of S. saprophyticus is likely facilitated by barriers to horizontal gene transfer (HGT) and differences in metabolism. Using genome-wide association study (GWAS) tools we identified the first Type VII secretion system (T7SS) described in S. saprophyticus and its association with bovine mastitis. Finally, we found that in general, strains of S. saprophyticus from different niches are genetically similar with the exception of built environments, which function as a 'sink' for S. saprophyticus populations. This work increases our understanding of the ecology of S. saprophyticus and of the genomics of bacterial generalists. Data summary Raw sequencing data for newly sequenced S. saprophyticus isolates have been deposited to the NCBI SRA under the project accession PRJNA928770. A list of all genomes used in this work and their associated metadata are available in the supplementary material. Custom scripts used in the comparative genomics and GWAS analyses are available here: https://github.com/myoungblom/sapro_genomics . Impact statement It is not known whether human and cattle diseases caused by S. saprophyticus represent spillover events from a generalist adapted to survive in a range of environments, or whether the capacity to cause disease represents a specific adaptation. Seasonal cycles of S. saprophyticus UTIs and molecular epidemiological evidence suggest that these infections may be environmentally-acquired rather than via transmission from person to person. Using comparative genomics and genome wide association study tools, we found that S. saprophyticus appears adapted to inhabit a wide range of environments (generalist), with isolates from animals, food, natural environments and human infections being closely related. Bacteria that routinely switch environments, particularly between humans and animals, are of particular concern when it comes to the spread of antibiotic resistance from farm environments into human populations. This work provides a framework for comparative genomic analyses of bacterial generalists and furthers our understanding of how bacterial populations move between humans, animals, and the environment.
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Joyce LR, Youngblom MA, Cormaty H, Gartstein E, Barber KE, Akins RL, Pepperell CS, Palmer KL. Comparative Genomics of Streptococcus oralis Identifies Large Scale Homologous Recombination and a Genetic Variant Associated with Infection. mSphere 2022; 7:e0050922. [PMID: 36321824 PMCID: PMC9769543 DOI: 10.1128/msphere.00509-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 10/17/2022] [Indexed: 11/07/2022] Open
Abstract
The viridans group streptococci (VGS) are a large consortium of commensal streptococci that colonize the human body. Many species within this group are opportunistic pathogens causing bacteremia and infective endocarditis (IE), yet little is known about why some strains cause invasive disease. Identification of virulence determinants is complicated by the difficulty of distinguishing between the closely related species of this group. Here, we analyzed genomic data from VGS that were isolated from blood cultures in patients with invasive infections and oral swabs of healthy volunteers and then determined the best-performing methods for species identification. Using whole-genome sequence data, we characterized the population structure of a diverse sample of Streptococcus oralis isolates and found evidence of frequent recombination. We used multiple genome-wide association study tools to identify candidate determinants of invasiveness. These tools gave consistent results, leading to the discovery of a single synonymous single nucleotide polymorphism (SNP) that was significantly associated with invasiveness. This SNP was within a previously undescribed gene that was conserved across the majority of VGS species. Using the growth in the presence of human serum and a simulated infective endocarditis vegetation model, we were unable to identify a phenotype for the enriched allele in laboratory assays, suggesting a phenotype may be specific to natural infection. These data highlighted the power of analyzing natural populations for gaining insight into pathogenicity, particularly for organisms with complex population structures like the VGS. IMPORTANCE The viridians group streptococci (VGS) are a large collection of closely related commensal streptococci, with many being opportunistic pathogens causing invasive diseases, such as bacteremia and infective endocarditis. Little is known about virulence determinants in these species, and there is a distinct lack of genomic information available for the VGS. In this study, we collected VGS isolates from invasive infections and healthy volunteers and performed whole-genome sequencing for a suite of downstream analyses. We focused on a diverse sample of Streptococcus oralis genomes and identified high rates of recombination in the population as well as a single genome variant highly enriched in invasive isolates. The variant lies within a previously uncharacterized gene, nrdM, which shared homology with the anaerobic ribonucleoside triphosphate reductase, nrdD, and was highly conserved among VGS. This work increased our knowledge of VGS genomics and indicated that differences in virulence potential among S. oralis isolates were, at least in part, genetically determined.
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Affiliation(s)
- Luke R. Joyce
- Department of Biological Sciences, The University of Texas at Dallas, Richardson, Texas, USA
| | - Madison A. Youngblom
- Microbiology Doctoral Training Program, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Medical Microbiology and Immunology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Harshini Cormaty
- Department of Biological Sciences, The University of Texas at Dallas, Richardson, Texas, USA
| | - Evelyn Gartstein
- Department of Biological Sciences, The University of Texas at Dallas, Richardson, Texas, USA
| | - Katie E. Barber
- Department of Pharmacy Practice, University of Mississippi School of Pharmacy, University of Mississippi, Jackson, Mississippi, USA
| | | | - Caitlin S. Pepperell
- Department of Medical Microbiology and Immunology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Medicine (Infectious Diseases), School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Kelli L. Palmer
- Department of Biological Sciences, The University of Texas at Dallas, Richardson, Texas, USA
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Chong SL, Tan JL, Ngeow YF. The resistomes of Mycobacteroides abscessus complex and their possible acquisition from horizontal gene transfer. BMC Genomics 2022; 23:715. [PMID: 36261788 PMCID: PMC9583574 DOI: 10.1186/s12864-022-08941-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 10/14/2022] [Indexed: 11/19/2022] Open
Abstract
Background Mycobacteroides abscessus complex (MABC), an emerging pathogen, causes human infections resistant to multiple antibiotics. In this study, the genome data of 1,581 MABC strains were downloaded from NCBI database for phylogenetic relatedness inference, resistance profile identification and the estimation of evolutionary pressure on resistance genes in silico. Results From genes associated with resistance to 28 antibiotic classes, 395 putative proteins (ARPs) were identified, based on the information in two antibiotic resistance databases (CARD and ARG-ANNOT). The ARPs most frequently identified in MABC were those associated with resistance to multiple antibiotic classes, beta-lactams and aminoglycosides. After excluding ARPs that had undergone recombination, two ARPs were predicted to be under diversifying selection and 202 under purifying selection. This wide occurrence of purifying selection suggested that the diversity of commonly shared ARPs in MABC have been reduced to achieve stability. The unequal distribution of ARPs in members of the MABC could be due to horizontal gene transfer or ARPs pseudogenization events. Most (81.5%) of the ARPs were observed in the accessory genome and 72.2% ARPs were highly homologous to proteins associated with mobile genetic elements such as plasmids, prophages and viruses. On the other hand, with TBLASTN search, only 18 of the ARPs were identified as pseudogenes. Conclusion Altogether, our results suggested an important role of horizontal gene transfer in shaping the resistome of MABC. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08941-7.
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Affiliation(s)
- Shay Lee Chong
- Faculty of Information Science and Technology, Multimedia University, Jalan Ayer Keroh Lama, Bukit Beruang, 75450, Melaka, Malaysia
| | - Joon Liang Tan
- Faculty of Information Science and Technology, Multimedia University, Jalan Ayer Keroh Lama, Bukit Beruang, 75450, Melaka, Malaysia.
| | - Yun Fong Ngeow
- Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, Bandar Sungai Long, 43000, Kajang, Selangor, Malaysia.,Center for Research On Communincable Diseases, Universiti Tunku Abdul Rahman, Bandar Sungai Long, 43000, Kajang, Selangor, Malaysia
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