Development and evaluation of a core genome multilocus sequence typing scheme for Paenibacillus larvae, the deadly American foulbrood pathogen of honeybees

被引:6
作者
Bertolotti, Alicia C. [1 ]
Forsgren, Eva [2 ]
Schaefer, Marc O. [3 ]
Sircoulomb, Fabrice [1 ]
Gaiani, Nicolas [1 ]
Ribiere-Chabert, Magali [1 ]
Paris, Laurianne [1 ]
Lucas, Pierrick [4 ]
de Boisseson, Claire [4 ]
Skarin, Joakim [5 ]
Riviere, Marie-Pierre [1 ]
机构
[1] Anses, Sophia Antipolis Lab, Unit Honey Bee Pathol, Sophia Antipolis, France
[2] Swedish Univ Agr Sci, Dept Ecol, Uppsala, Sweden
[3] Friedrich Loeffler Inst, Fed Res Inst Anim Hlth, Greifswald, Insel Riems, Germany
[4] Anses, Ploufragan Plouzane Niort Lab, Unit Viral Genet & Biosafety, Ploufragan, France
[5] Natl Vet Inst, Dept Microbiol, Uppsala, Sweden
基金
瑞典研究理事会;
关键词
D O I
10.1111/1462-2920.15442
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Paenibacillus larvae is the causative agent of the fatal American foulbrood disease in honeybees (Apis mellifera). Strain identification is vital for preventing the spread of the disease. To date, the most accessible and robust scheme to identify strains is the multilocus sequence typing (MLST) method. However, this approach has limited resolution, especially for epidemiological studies. As the cost of whole-genome sequencing has decreased and as it becomes increasingly available to most laboratories, an extended MLST based on the core genome (cgMLST) presents a valuable tool for high-resolution investigations. In this study, we present a standardized, robust cgMLST scheme for P. larvae typing using whole-genome sequencing. A total of 333 genomes were used to identify, validate and evaluate 2419 core genes. The cgMLST allowed fine-scale differentiation between samples that had the same profile using traditional MLST and allowed for the characterization of strains impossible by MLST. The scheme was successfully used to trace a localized Swedish outbreak, where a cluster of 38 isolates was linked to a country-wide beekeeping operation. cgMLST greatly enhances the power of a traditional typing scheme, while preserving the same stability and standardization for sharing results and methods across different laboratories.
引用
收藏
页码:5042 / 5051
页数:10
相关论文
共 41 条
  • [1] Using whole genome sequencing to study American foulbrood epidemiology in honeybees
    Agren, Joakim
    Schaefer, Marc Oliver
    Forsgren, Eva
    [J]. PLOS ONE, 2017, 12 (11):
  • [2] Evidence for plasmid-mediated tetracycline resistance in Paenibacillus larvae, the causal agent of American Foulbrood (AFB) disease in honeybees
    Alippi, Adriana M.
    Lopez, Ana C.
    Reynaldi, Francisco J.
    Grasso, Daniel H.
    Aguilar, O. Mario
    [J]. VETERINARY MICROBIOLOGY, 2007, 125 (3-4) : 290 - 303
  • [3] A PCR-based method that permits specific detection of Paenibacillus larvae subsp larvae, the cause of American Foulbrood of honey bees, at the subspecies level
    Alippi, AM
    López, AC
    Aguilar, OM
    [J]. LETTERS IN APPLIED MICROBIOLOGY, 2004, 39 (01) : 25 - 33
  • [4] Rapid High Resolution Genotyping of Francisella tularensis by Whole Genome Sequence Comparison of Annotated Genes ("MLST+")
    Antwerpen, Markus H.
    Prior, Karola
    Mellmann, Alexander
    Hoeppner, Sebastian
    Splettstoesser, Wolf D.
    Harmsen, Dag
    [J]. PLOS ONE, 2015, 10 (04):
  • [5] SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing
    Bankevich, Anton
    Nurk, Sergey
    Antipov, Dmitry
    Gurevich, Alexey A.
    Dvorkin, Mikhail
    Kulikov, Alexander S.
    Lesin, Valery M.
    Nikolenko, Sergey I.
    Son Pham
    Prjibelski, Andrey D.
    Pyshkin, Alexey V.
    Sirotkin, Alexander V.
    Vyahhi, Nikolay
    Tesler, Glenn
    Alekseyev, Max A.
    Pevzner, Pavel A.
    [J]. JOURNAL OF COMPUTATIONAL BIOLOGY, 2012, 19 (05) : 455 - 477
  • [6] Discovery of Paenibacillus larvae ERIC V: Phenotypic and genomic comparison to genotypes ERIC I-IV reveal different inventories of virulence factors which correlate with epidemiological prevalences of American Foulbrood
    Beims, Hannes
    Bunk, Boyke
    Erler, Silvio
    Mohr, Kathrin, I
    Sproeer, Cathrin
    Pradella, Silke
    Guenther, Gabi
    Rohde, Manfred
    von der Ohe, Werner
    Steinert, Michael
    [J]. INTERNATIONAL JOURNAL OF MEDICAL MICROBIOLOGY, 2020, 310 (02)
  • [7] Trimmomatic: a flexible trimmer for Illumina sequence data
    Bolger, Anthony M.
    Lohse, Marc
    Usadel, Bjoern
    [J]. BIOINFORMATICS, 2014, 30 (15) : 2114 - 2120
  • [8] Differential sensitivity of honey bees and bumble bees to a dietary insecticide (imidacloprid)
    Cresswell, James E.
    Page, Christopher J.
    Uygun, Mehmet B.
    Holmbergh, Marie
    Li, Yueru
    Wheeler, Jonathan G.
    Laycock, Ian
    Pook, Christopher J.
    de Ibarra, Natalie Hempel
    Smirnoff, Nick
    Tyler, Charles R.
    [J]. ZOOLOGY, 2012, 115 (06) : 365 - 371
  • [9] Core Genome Multilocus Sequence Typing Scheme for High-Resolution Typing of Enterococcus faecium
    de Been, Mark
    Pinholt, Mette
    Top, Janetta
    Bletz, Stefan
    Mellmann, Alexander
    van Schaik, Willem
    Brouwer, Ellen
    Rogers, Malbert
    Kraat, Yvette
    Bonten, Marc
    Corander, Jukka
    Westh, Henrik
    Harmsen, Dag
    Willems, Rob J. L.
    [J]. JOURNAL OF CLINICAL MICROBIOLOGY, 2015, 53 (12) : 3788 - 3797
  • [10] Multiple Locus Variable number of tandem repeat Analysis: A molecular genotyping tool for Paenibacillus larvae
    Descamps, Tine
    De Smet, Lina
    Stragier, Pieter
    De Vos, Paul
    de Graaf, Dirk C.
    [J]. MICROBIAL BIOTECHNOLOGY, 2016, 9 (06): : 772 - 781