ArticleJournal of clinical microbiology2005
Identification of Mycobacterium species by secA1 sequences.
Article in Journal of clinical microbiology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- Diagnosis of nontuberculous mycobacterial infections using genomics and artificial intelligence-machine learning approaches: scope, progress and challenges.Frontiers in microbiology · 2025Review
- Biochip-Based Identification of Mycobacterial Species in Russia.International journal of molecular sciences · 2024Article
- Non-sputum-based samples and biomarkers for detection of Mycobacterium tuberculosis: the hope to improve childhood and HIV-associated tuberculosis diagnosis.European journal of medical research · 2024Review
- The Intriguing Pattern of Nontuberculous Mycobacteria in Bulgaria and Description ofInternational journal of molecular sciences · 2024Article
- Toward Characterizing Environmental Sources of Non-tuberculous Mycobacteria (NTM) at the Species Level: A Tutorial Review of NTM Phylogeny and Phylogenetic Classification.ACS environmental Au · 2024Review
- Catheter-related bloodstream infection caused by Tsukamurella tyrosinosolvens identified by secA1sequencing in an immunocompromised child: a case report.Annals of clinical microbiology and antimicrobials · 2023Article
- Focusing onAntibiotics (Basel, Switzerland) · 2023Article
- The Homologous Gene of Chromosomal Virulence D (Infection and drug resistance · 2023Article
- Methods of IdentifyingPathogens (Basel, Switzerland) · 2022Review
- Genomic characterization of sporadic isolates of the dominant clone of Mycobacterium abscessus subspecies massiliense.Scientific reports · 2021Article
- Development of a Cost-Effective Line Probe Assay for Rapid Detection and Differentiation ofReports of biochemistry & molecular biology · 2020Article
- Performance of RGM Medium for Isolation of Nontuberculous Mycobacteria from Respiratory Specimens from Non-Cystic Fibrosis Patients.Journal of clinical microbiology · 2019Article
- Clinical characteristics of non-tuberculous mycobacterial pulmonary infections in Bamako, Mali.Epidemiology and infection · 2018Article
- Biographical Feature: Patrick R. Murray, Ph.D.Journal of clinical microbiology · 2016Article
- Methodological and Clinical Aspects of the Molecular Epidemiology of Mycobacterium tuberculosis and Other Mycobacteria.Clinical microbiology reviews · 2016Review
- New Real-Time PCR Assays for Detection of Inducible and Acquired Clarithromycin Resistance in the Mycobacterium abscessus Group.Journal of clinical microbiology · 2015Article
- Evaluation of a low-density hydrogel microarray technique for mycobacterial species identification.Journal of clinical microbiology · 2015Article
- Nontuberculous mycobacteria in cystic fibrosis and non-cystic fibrosis bronchiectasis.Seminars in respiratory and critical care medicine · 2015Review
- Tsukamurella pulmonis bloodstream infection identified by secA1 gene sequencing.Journal of clinical microbiology · 2015Article
- SecA: a potential antimicrobial target.Future medicinal chemistry · 2015Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We describe a novel molecular method for the differentiation and identification of 29 mycobacterial species. The target is the secA1 gene that codes for the essential protein SecA1, a key component of the major pathway of protein secretion across the cytoplasmic membrane. A 700-bp region of the secA1 gene was amplified and sequenced from 47 American Type Culture Collection strains of 29 Mycobacterium species as well as from 59 clinical isolates. Sequence variability in the amplified segment of the secA1 gene allowed the differentiation of all species except for the members of the Mycobacterium tuberculosis (MTB) complex, which had identical sequences. A range of 83.3 to 100% interspecies similarity was observed. All species could also be differentiated by their amino acid sequences as deduced from the sequenced region of the secA1 gene, with the exception of the MTB complex. Partial sequences of secA1 from clinical isolates belonging to nine frequently isolated species of mycobacteria revealed a very high intraspecies similarity at the DNA level (typically >99%; range, 96.0 to 100%); all clinical isolates were correctly identified. Comparison of the deduced 233-amino-acid sequences among clinical isolates of the same species showed between 99.6 and 100% similarity. To our knowledge, this is the first time a secretion-related gene has been used for the identification of the species within a bacterial genus.
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