Literature DB >> 33585607

Diagnostic Sequences That Distinguish M. avium Subspecies Strains.

John P Bannantine1, Judith R Stabel1, Darrell O Bayles1, Cyril Conde2, Franck Biet2.   

Abstract

Over a decade ago Mycobacterium avium subspecies paratuberculosis (Map) specific genes were initially identified in a whole genome context by comparing draft genome sequences of Map strain K-10 with Mycobacterium avium subspecies hominissuis (Mah) strain 104. This resulted in identification of 32 Map specific genes, not including repetitive elements, based on the two-genome comparison. The goal of this study was to define a more complete catalog of M. avium subspecies-specific genes. This is important for obtaining additional diagnostic targets for Johne's disease detection and for understanding the unique biology, evolution and niche adaptation of these organisms. There are now over 28 complete genome sequences representing three M. avium subspecies, including avium (Maa), Mah, and Map. We have conducted a comprehensive comparison of these genomes using two independent pan genomic comparison tools, PanOCT and Roary. This has led to the identification of more than 250 subspecies defining genes common to both analyses. The majority of these genes are arranged in clusters called genomic islands. We further reduced the number of diagnostic targets by excluding sequences having high BLAST similarity to other mycobacterial species recently added to the National Center for Biotechnology Information database. Genes identified as diagnostic following these bioinformatic approaches were further tested by DNA amplification PCR on an additional 20 M. avium subspecies strains. This combined approach confirmed 86 genes as Map-specific, seven as Maa-specific and three as Mah-specific. A single-tube PCR reaction was conducted as a proof of concept method to quickly distinguish M. avium subspecies strains. With these novel data, researchers can classify isolates in their freezers, quickly characterize clinical samples, and functionally analyze these unique genes.
Copyright © 2021 Bannantine, Stabel, Bayles, Conde and Biet.

Entities:  

Keywords:  M. avium; Mycobacterium; PCR; diagnostics; paratuberculosis (Map); whole genome comparison

Year:  2021        PMID: 33585607      PMCID: PMC7876471          DOI: 10.3389/fvets.2020.620094

Source DB:  PubMed          Journal:  Front Vet Sci        ISSN: 2297-1769


  37 in total

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Journal:  Infect Immun       Date:  2007-11-26       Impact factor: 3.441

2.  Development of an F57 sequence-based real-time PCR assay for detection of Mycobacterium avium subsp. paratuberculosis in milk.

Authors:  T Tasara; R Stephan
Journal:  Appl Environ Microbiol       Date:  2005-10       Impact factor: 4.792

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Authors:  J P Bannantine; J R Stabel
Journal:  Vet Microbiol       Date:  2000-10-20       Impact factor: 3.293

4.  Genome scale comparison of Mycobacterium avium subsp. paratuberculosis with Mycobacterium avium subsp. avium reveals potential diagnostic sequences.

Authors:  John P Bannantine; Emily Baechler; Qing Zhang; LingLing Li; Vivek Kapur
Journal:  J Clin Microbiol       Date:  2002-04       Impact factor: 5.948

5.  Differentiating host-associated variants of Mycobacterium avium by PCR for detection of large sequence polymorphisms.

Authors:  Makeda Semret; Christine Y Turenne; Petra de Haas; Desmond M Collins; Marcel A Behr
Journal:  J Clin Microbiol       Date:  2006-03       Impact factor: 5.948

6.  Comparative genomic analysis of Mycobacterium avium subspecies obtained from multiple host species.

Authors:  Michael L Paustian; Xiaochun Zhu; Srinand Sreevatsan; Suelee Robbe-Austerman; Vivek Kapur; John P Bannantine
Journal:  BMC Genomics       Date:  2008-03-20       Impact factor: 3.969

7.  Roary: rapid large-scale prokaryote pan genome analysis.

Authors:  Andrew J Page; Carla A Cummins; Martin Hunt; Vanessa K Wong; Sandra Reuter; Matthew T G Holden; Maria Fookes; Daniel Falush; Jacqueline A Keane; Julian Parkhill
Journal:  Bioinformatics       Date:  2015-07-20       Impact factor: 6.937

8.  KEGG: new perspectives on genomes, pathways, diseases and drugs.

Authors:  Minoru Kanehisa; Miho Furumichi; Mao Tanabe; Yoko Sato; Kanae Morishima
Journal:  Nucleic Acids Res       Date:  2016-11-28       Impact factor: 16.971

9.  Complete Genome Sequence of Mycobacterium avium subsp. avium Chester (DSM 44156).

Authors:  Ralph Goethe; Kristin Laarmann; Cathrin Spröer; Boyke Bunk
Journal:  Microbiol Resour Announc       Date:  2020-02-13
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2.  Identification of Leuconostoc species based on novel marker genes identified using real-time PCR via computational pangenome analysis.

Authors:  Eiseul Kim; Seung-Min Yang; Ik-Seon Kim; So-Yun Lee; Hae-Yeong Kim
Journal:  Front Microbiol       Date:  2022-09-23       Impact factor: 6.064

  2 in total

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