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Abstract

is a bacterial pathogen found in an increasing number of food categories, potentially reflecting an expanding niche and food safety risk profile. In the UK, sequence type (ST) 121 is more frequently isolated from foods and food environments than from cases of clinical listeriosis, consistent with a relatively low pathogenicity. In this study, we determined the evolution associated with the environmental persistence of a clone by investigating clone-specific genome features in the context of the ST121 population structure from international sources. To enable unambiguous comparative genomic analysis of ST121 strains, we constructed 16 new high-quality genome assemblies from isolated from foods, food environments and human clinical sources in the UK from 1987 to 2019. Our dataset was supplemented with additional UK and international genomes from databases held by the Institut Pasteur and the UK Health Security Agency. Time-scaled phylogenetic reconstruction revealed that clade-specific microevolution correlated with key characteristics that may confer adaptations important for success in the environmental niche. For example, a prophage designated LP-13-6 unique to a clade is associated with multi-year persistence in a food production setting. This prophage, observed in a strain that persisted for over a decade, may encode mechanisms facilitating environmental persistence, including the exclusion of other bacteriophages. Pangenome analysis provided insights into other candidate genetic elements associated with persistence and biocide tolerance. The comparative genomic dataset compiled in this study includes an international collection of 482 genome sequences that serve as a valuable resource for future studies to explore conserved genes, regulatory regions, mutations and variations associated with particular traits, such as environmental persistence, pathogenicity or biocide tolerance.

Funding
This study was supported by the:
  • Biotechnology and Biological Sciences Research Council (Award BB/R012504/1)
    • Principal Award Recipient: RobertA. Kingsley
  • Biotechnology and Biological Sciences Research Council (Award BB/T008717/1)
    • Principal Award Recipient: OleksiiOmelchenko
  • Biotechnology and Biological Sciences Research Council (Award BB/CCG2260/1)
    • Principal Award Recipient: MatthewW Gilmour
  • Biotechnology and Biological Sciences Research Council (Award BB/X011011/1)
    • Principal Award Recipient: MatthewW Gilmour
  • This is an open-access article distributed under the terms of the Creative Commons Attribution License. This article was made open access via a Publish and Read agreement between the Microbiology Society and the corresponding author’s institution.
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2025-04-17
2026-04-17

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References

  1. Liao J, Guo X, Weller DL, Pollak S, Buckley DH et al. Nationwide genomic atlas of soil-dwelling Listeria reveals effects of selection and population ecology on pangenome evolution. Nat Microbiol 2021; 6:1021–1030 [View Article] [PubMed]
    [Google Scholar]
  2. Fagerlund A, Idland L, Heir E, Møretrø T, Aspholm M et al. Whole-genome sequencing analysis of listeria monocytogenes from Rural, urban, and farm environments in Norway: genetic diversity, persistence, and relation to clinical and food isolates. Appl Environ Microbiol 2022; 88:e0213621 [View Article] [PubMed]
    [Google Scholar]
  3. Koopmans MM, Brouwer MC, Vázquez-Boland JA, van de Beek D. Human Listeriosis. Clin Microbiol Rev 2023; 36:e0006019 [View Article] [PubMed]
    [Google Scholar]
  4. Authority (EFSA) European Centre for Disease Prevention and Control (ECDC) The European Union One Health 2022 zoonoses report. EFSA J 2023; 21:e8442 [View Article] [PubMed]
    [Google Scholar]
  5. Orsi RH, den Bakker HC, Wiedmann M. Listeria monocytogenes lineages: genomics, evolution, ecology, and phenotypic characteristics. Int J Med Microbiol 2011; 301:79–96 [View Article] [PubMed]
    [Google Scholar]
  6. Fox EM, Leonard N, Jordan K. Physiological and transcriptional characterization of persistent and nonpersistent Listeria monocytogenes isolates. Appl Environ Microbiol 2011; 77:6559–6569 [View Article] [PubMed]
    [Google Scholar]
  7. Stessl B, Fricker M, Fox E, Karpiskova R, Demnerova K et al. Collaborative survey on the colonization of different types of cheese-processing facilities with Listeria monocytogenes. Foodborne Pathog Dis 2014; 11:8–14 [View Article] [PubMed]
    [Google Scholar]
  8. Chiara M, D’Erchia AM, Manzari C, Minotto A, Montagna C et al. Draft genome sequences of six listeria monocytogenes strains isolated from dairy products from a processing plant in Southern Italy. Genome Announc 2014; 2:e00282–14 [View Article] [PubMed]
    [Google Scholar]
  9. Schmitz-Esser S, Müller A, Stessl B, Wagner M. Genomes of sequence type 121 Listeria monocytogenes strains harbor highly conserved plasmids and prophages. Front Microbiol 2015; 6:380 [View Article] [PubMed]
    [Google Scholar]
  10. Maury MM, Tsai Y-H, Charlier C, Touchon M, Chenal-Francisque V et al. Uncovering Listeria monocytogenes hypervirulence by harnessing its biodiversity. Nat Genet 2016; 48:308–313 [View Article] [PubMed]
    [Google Scholar]
  11. Kwong JC, Mercoulia K, Tomita T, Easton M, Li HY et al. Prospective whole-genome sequencing enhances national surveillance of listeria monocytogenes. J Clin Microbiol 2016; 54:333–342 [View Article] [PubMed]
    [Google Scholar]
  12. Knudsen GM, Nielsen JB, Marvig RL, Ng Y, Worning P et al. Genome-wide-analyses of Listeria monocytogenes from food-processing plants reveal clonal diversity and date the emergence of persisting sequence types. Environ Microbiol Rep 2017; 9:428–440 [View Article] [PubMed]
    [Google Scholar]
  13. Rychli K, Wagner EM, Ciolacu L, Zaiser A, Tasara T et al. Comparative genomics of human and non-human Listeria monocytogenes sequence type 121 strains. PLoS One 2017; 12:e0176857 [View Article] [PubMed]
    [Google Scholar]
  14. Pasquali F, Palma F, Guillier L, Lucchi A, De Cesare A et al. Listeria monocytogenes sequence Types 121 and 14 repeatedly isolated within one year of sampling in a rabbit meat processing plant: persistence and ecophysiology. Front Microbiol 2018; 9:596 [View Article] [PubMed]
    [Google Scholar]
  15. McLauchlin J, Aird H, Amar C, Boyd G, Brindle A et al. Listeriosis associated with pre-prepared sandwich consumption in hospital in England, 2017. Epidemiol Infect 2021; 149:e220 [View Article]
    [Google Scholar]
  16. Holch A, Webb K, Lukjancenko O, Ussery D, Rosenthal BM et al. Genome sequencing identifies two nearly unchanged strains of persistent Listeria monocytogenes isolated at two different fish processing plants sampled 6 years apart. Appl Environ Microbiol 2013; 79:2944–2951 [View Article] [PubMed]
    [Google Scholar]
  17. López-Alonso V, Ortiz S, Martínez-Suárez JV. Genome sequences of five disinfectant-resistant Listeria monocytogenes strains from two iberian pork-processing plants. Genome Announc 2015; 3:00077–15 [View Article] [PubMed]
    [Google Scholar]
  18. Ortiz S, López-Alonso V, Rodríguez P, Martínez-Suárez JV. The connection between persistent, disinfectant-resistant Listeria monocytogenes strains from two geographically separate Iberian pork processing plants: evidence from comparative genome analysis. Appl Environ Microbiol 2016; 82:308–317 [View Article] [PubMed]
    [Google Scholar]
  19. Melero B, Manso B, Stessl B, Hernández M, Wagner M et al. Distribution and persistence of Listeria monocytogenes in a heavily contaminated poultry processing facility. J Food Prot 2019; 82:1524–1531 [View Article] [PubMed]
    [Google Scholar]
  20. Kaszoni-Rückerl I, Mustedanagic A, Muri-Klinger S, Brugger K, Wagner K-H et al. Predominance of distinct Listeria Innocua and Listeria Monocytogenes in recurrent contamination events at dairy processing facilities. Microorganisms 2020; 8:234 [View Article]
    [Google Scholar]
  21. Zhang H, Wang J, Chang Z, Liu X, Chen W et al. Listeria monocytogenes contamination characteristics in two ready-to-eat meat plants from 2019 to 2020 in Shanghai; 2021 https://www.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2021.729114/full accessed 23 May 2024
  22. Murr L, Huber I, Pavlovic M, Guertler P, Messelhaeusser U et al. Whole-genome sequence comparisons of Listeria monocytogenes isolated from meat and fish reveal high inter- and intra-sample diversity. Microorganisms 2022; 10:2120 [View Article] [PubMed]
    [Google Scholar]
  23. Takeuchi-Storm N, Hansen LT, Nielsen NL, Andersen JK. Presence and persistence of Listeria monocytogenes in the danish ready-to-eat food production environment. Hygiene 2023; 3:18–32 [View Article]
    [Google Scholar]
  24. Xu J, Wu S, Liu M, Xiao Z, Peng Y et al. Prevalence and contamination patterns of Listeria monocytogenes in Pleurotus eryngii (king oyster mushroom) production plants. Front Microbiol 2023; 14:1064575 [View Article]
    [Google Scholar]
  25. Stasiewicz MJ, Oliver HF, Wiedmann M, Bakker HC. Whole-genome sequencing allows for improved identification of persistent listeria monocytogenes in food-associated environments. Appl Environ Microbiol 2015; 81:6024–6037
    [Google Scholar]
  26. Müller A, Rychli K, Zaiser A, Wieser C, Wagner M et al. The listeria monocytogenes transposon Tn6188 provides increased tolerance to various quaternary ammonium compounds and ethidium bromide. FEMS Microbiol Lett 2014; 361:166–173
    [Google Scholar]
  27. Hein I, Klinger S, Dooms M, Flekna G, Stessl B et al. Stress survival islet 1 (SSI-1) survey in Listeria monocytogenes reveals an insert common to Listeria innocua in sequence type 121 L. monocytogenes strains. Appl Environ Microbiol 2011; 77:2169–2173 [View Article] [PubMed]
    [Google Scholar]
  28. Harter E, Wagner EM, Zaiser A, Halecker S, Wagner M et al. Stress Survival Islet 2, predominantly present in Listeria monocytogenes strains of sequence Type 121, is involved in the alkaline and oxidative stress responses. Appl Environ Microbiol 2017; 83:e00827-17 [View Article] [PubMed]
    [Google Scholar]
  29. Rychli K, Grunert T, Ciolacu L, Zaiser A, Razzazi-Fazeli E et al. Exoproteome analysis reveals higher abundance of proteins linked to alkaline stress in persistent listeria monocytogenes strains. Int J Food Microbiol 2016; 218:17–26
    [Google Scholar]
  30. Wiktorczyk-Kapischke N, Skowron K, Grudlewska-Buda K, Wałecka-Zacharska E, Korkus J et al. Adaptive response of Listeria monocytogenes to the stress factors in the food processing environment. Front Microbiol 2021; 12:710085 [View Article] [PubMed]
    [Google Scholar]
  31. Kuenne C, Billion A, Mraheil MA, Strittmatter A, Daniel R et al. Reassessment of the Listeria monocytogenes pan-genome reveals dynamic integration hotspots and mobile genetic elements as major components of the accessory genome. BMC Genom 2013; 14:47 [View Article] [PubMed]
    [Google Scholar]
  32. Ramisetty BCM, Sudhakari PA. Bacterial ‘grounded’ prophages: hotspots for genetic renovation and innovation. Front Genet 2019; 10:65
    [Google Scholar]
  33. Orsi RH, Borowsky ML, Lauer P, Young SK, Nusbaum C et al. Short-term genome evolution of Listeria monocytogenes in a non-controlled environment. BMC Genom 2008; 9:539 [View Article] [PubMed]
    [Google Scholar]
  34. Brabban AD, Hite E, Callaway TR. Evolution of foodborne pathogens via temperate bacteriophage-mediated gene transfer. Foodborne Pathog Dis 2005; 2:287–303 [View Article] [PubMed]
    [Google Scholar]
  35. Wendling CC, Refardt D, Hall AR. Fitness benefits to bacteria of carrying prophages and prophage-encoded antibiotic-resistance genes peak in different environments. Evolution 2021; 75:515–528 [View Article] [PubMed]
    [Google Scholar]
  36. Kim JW, Kathariou S. Temperature-dependent phage resistance of Listeria monocytogenes epidemic clone II. Appl Environ Microbiol 2009; 75:2433–2438 [View Article] [PubMed]
    [Google Scholar]
  37. Bondy-Denomy J, Qian J, Westra ER, Buckling A, Guttman DS et al. Prophages mediate defense against phage infection through diverse mechanisms. ISME J 2016; 10:2854–2866 [View Article] [PubMed]
    [Google Scholar]
  38. Bondy-Denomy J, Davidson AR. When a virus is not a parasite: the beneficial effects of prophages on bacterial fitness. J Microbiol 2014; 52:235–242 [View Article] [PubMed]
    [Google Scholar]
  39. Diaz M, Aird H, Le Viet T, Gutiérrez AV, Larke-Mejia N et al. Microbial composition and dynamics in environmental samples from a ready-to-eat food production facility with a long-term colonization of Listeria monocytogenes. Food Microbiol 2025; 125:104649 [View Article] [PubMed]
    [Google Scholar]
  40. CLSI Methods for Dilution Antimicrobial Susceptibility Tests f or Bacteria That Grow Aerobically, 9th edn 2012
    [Google Scholar]
  41. Oxford Nanopore Technologies nanoporetech/minknow_api; 2024 https://github.com/nanoporetech/minknow_api accessed 31 October 2024
  42. Bonenfant Q, Noé L, Touzet H. Porechop_ABI: discovering unknown adapters in Oxford nanopore technology sequencing reads for downstream trimming. Bioinform Adv 2023; 3:vbac085 [View Article] [PubMed]
    [Google Scholar]
  43. Wick R. rrwick/Filtlong; 2024 https://github.com/rrwick/Filtlong accessed 31 October 2024
  44. Wood DE, Lu J, Langmead B. Improved metagenomic analysis with Kraken 2. Genome Biol 2019; 20:257 [View Article] [PubMed]
    [Google Scholar]
  45. Lu J, Salzberg SL. Removing contaminants from databases of draft genomes. PLoS Comput Biol 2018; 14:e1006277 [View Article]
    [Google Scholar]
  46. Kolmogorov M, Yuan J, Lin Y, Pevzner PA. Assembly of long, error-prone reads using repeat graphs. Nat Biotechnol 2019; 37:540–546 [View Article] [PubMed]
    [Google Scholar]
  47. Oxford Nanopore Technologies nanoporetech/medaka; 2024 https://github.com/nanoporetech/medaka accessed 31 October 2024
  48. Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 2014; 30:2114–2120 [View Article] [PubMed]
    [Google Scholar]
  49. Walker BJ, Abeel T, Shea T, Priest M, Abouelliel A et al. Pilon: an integrated tool for comprehensive microbial variant detection and genome assembly improvement. PLoS One 2014; 9:e112963 [View Article] [PubMed]
    [Google Scholar]
  50. Lee T. thanhleviet/nf-pilon [Internet]; 2022 https://github.com/thanhleviet/nf-pilon accessed 31 October 2024
  51. Moura A, Criscuolo A, Pouseele H, Maury MM, Leclercq A et al. Whole genome-based population biology and epidemiological surveillance of Listeria monocytogenes. Nat Microbiol 2016; 2:16185 [View Article] [PubMed]
    [Google Scholar]
  52. Krueger F, James F, Ewels P, Afyounian E, Weinstein M et al. FelixKrueger/TrimGalore: v0.6.10 - add default decompression path [Internet]. Zenodo; 2023 https://zenodo.org/records/7598955 accessed 31 October 2024
  53. Wingett SW, Andrews S. FastQ Screen: a tool for multi-genome mapping and quality control. F1000Res 2018; 7:1338 [View Article] [PubMed]
    [Google Scholar]
  54. Seeman T. tseemann/shovill [Internet]; 2024 https://github.com/tseemann/shovill accessed 31 October 2024
  55. Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M et al. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol 2012; 19:455–477 [View Article] [PubMed]
    [Google Scholar]
  56. Kolmogorov M, Raney B, Paten B, Pham S. Ragout-a reference-assisted assembly tool for bacterial genomes. Bioinformatics 2014; 30:i302–i309 [View Article] [PubMed]
    [Google Scholar]
  57. Seeman T. tseemann/snippy [Internet]; 2024 https://github.com/tseemann/snippy accessed 31 October 2024
  58. Quinlan AR. BEDTools: the Swiss-army tool for genome feature analysis. Curr Protoc Bioinform 2014; 47:11 [View Article] [PubMed]
    [Google Scholar]
  59. Page AJ, Taylor B, Delaney AJ, Soares J, Seemann T et al. SNP-sites: rapid efficient extraction of SNPs from multi-FASTA alignments. Microb Genom 2016; 2:e000056 [View Article] [PubMed]
    [Google Scholar]
  60. Stamatakis A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 2014; 30:1312–1313 [View Article] [PubMed]
    [Google Scholar]
  61. Minh BQ, Schmidt HA, Chernomor O, Schrempf D, Woodhams MD et al. IQ-TREE 2: new models and efficient methods for phylogenetic inference in the genomic era. Mol Biol Evol 2020; 37:1530–1534 [View Article] [PubMed]
    [Google Scholar]
  62. Tonkin-Hill G, Lees JA, Bentley SD, Frost SDW, Corander J. Fast hierarchical Bayesian analysis of population structure. Nucleic Acids Res 2019; 47:5539–5549 [View Article] [PubMed]
    [Google Scholar]
  63. Didelot X, Croucher NJ, Bentley SD, Harris SR, Wilson DJ. Bayesian inference of ancestral dates on bacterial phylogenetic trees. Nucleic Acids Res 2018; 46:e134 [View Article] [PubMed]
    [Google Scholar]
  64. Bawn M, Alikhan N-F, Thilliez G, Kirkwood M, Wheeler NE et al. Evolution of Salmonella enterica serotype Typhimurium driven by anthropogenic selection and niche adaptation. PLoS Genet 2020; 16:e1008850 [View Article] [PubMed]
    [Google Scholar]
  65. Plummer M, Best N, Cowles K. CODA: convergence diagnosis and output analysis for MCMC; 2006; 6
  66. Schwengers O, Jelonek L, Dieckmann MA, Beyvers S, Blom J et al. Bakta: rapid and standardized annotation of bacterial genomes via alignment-free sequence identification. Microb Genom 2021; 7:000685 [View Article] [PubMed]
    [Google Scholar]
  67. Page AJ, Cummins CA, Hunt M, Wong VK, Reuter S et al. Roary: rapid large-scale prokaryote pan genome analysis. Bioinformatics 2015; 31:3691–3693 [View Article] [PubMed]
    [Google Scholar]
  68. Carhuaricra-Huaman D, Setubal JC. Step-by-step bacterial genome comparison. In Setubal JC, Stadler PF, Stoye J. eds Comparative Genomics: Methods and Protocols [Internet] New York, NY: Springer US; 2024 pp 107–134 [View Article]
    [Google Scholar]
  69. Tettelin H, Riley D, Cattuto C, Medini D. Comparative genomics: the bacterial pan-genome. Curr Opin Microbiol 2008; 11:472–477 [View Article] [PubMed]
    [Google Scholar]
  70. Kieft K, Zhou Z, Anantharaman K. VIBRANT: automated recovery, annotation and curation of microbial viruses, and evaluation of viral community function from genomic sequences. Microbiome 2020; 8:90 [View Article] [PubMed]
    [Google Scholar]
  71. Kurtz S, Phillippy A, Delcher AL, Smoot M, Shumway M et al. Versatile and open software for comparing large genomes. Genome Biol 2004; 5:R12 [View Article] [PubMed]
    [Google Scholar]
  72. BLAST: Basic Local Alignment Search Tool [Internet]. n.d https://blast.ncbi.nlm.nih.gov/Blast.cgi accessed 31 October 2024
  73. Ondov BD, Treangen TJ, Melsted P, Mallonee AB, Bergman NH et al. Mash: fast genome and metagenome distance estimation using MinHash. Genome Biol 2016; 17:132 [View Article] [PubMed]
    [Google Scholar]
  74. Cook R, Brown N, Redgwell T, Rihtman B, Barnes M et al. Infrastructure for a phage reference database: identification of large-scale biases in the current collection of cultured phage genomes. Phage 2021; 2:214–223 [View Article] [PubMed]
    [Google Scholar]
  75. Brynildsrud O, Bohlin J, Scheffer L, Eldholm V. Rapid scoring of genes in microbial pan-genome-wide association studies with Scoary. Genome Biol 2016; 17:238 [View Article] [PubMed]
    [Google Scholar]
  76. Grant JR, Enns E, Marinier E, Mandal A, Herman EK et al. Proksee: in-depth characterization and visualization of bacterial genomes. Nucleic Acids Res 2023; 51:W484–W492 [View Article] [PubMed]
    [Google Scholar]
  77. Bouras G, Nepal R, Houtak G, Psaltis AJ, Wormald PJ et al. Pharokka: a fast scalable bacteriophage annotation tool. Bioinformatics 2023; 39:btac776 [View Article] [PubMed]
    [Google Scholar]
  78. Gilchrist CLM, Chooi YH. clinker & clustermap.js: automatic generation of gene cluster comparison figures. Bioinformatics 2021; 37:2473–2475 [View Article] [PubMed]
    [Google Scholar]
  79. Wishart DS, Han S, Saha S, Oler E, Peters H et al. PHASTEST: faster than PHASTER, better than PHAST. Nucleic Acids Res 2023; 51:W443–W450 [View Article] [PubMed]
    [Google Scholar]
  80. Katoh K, Standley DM. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol 2013; 30:772–780 [View Article] [PubMed]
    [Google Scholar]
  81. MAFFT < EMBL-EBI [Internet]. n.d https://www.ebi.ac.uk/jdispatcher/msa/mafft?stype=protein accessed 31 October 2024
  82. Madeira F, Madhusoodanan N, Lee J, Eusebi A, Niewielska A et al. The EMBL-EBI Job Dispatcher sequence analysis tools framework in 2024. Nucleic Acids Res 2024; 52:W521–W525 [View Article] [PubMed]
    [Google Scholar]
  83. Shade sequence alignments with Boxshade - Junli Zhang’s Blog [Internet]. n.d https://junli.netlify.app/apps/boxshade/ accessed 31 October 2024
  84. MOTIF: Searching Protein Sequence Motifs [Internet]. n.d https://www.genome.jp/tools/motif/ accessed 31 October 2024
  85. McLauchlin J, Aird H, Amar C, Barker C, Dallman T et al. Listeria monocytogenes in cooked chicken: detection of an outbreak in the United Kingdom (2016 to 2017) and Analysis of L. monocytogenes from unrelated monitoring of foods (2013 to 2017). J Food prot 2020; 83:2041–2052 [View Article]
    [Google Scholar]
  86. Sarr M, Tidjani Alou M, Delerce J, Khelaifia S, Diagne N et al. A Listeria monocytogenes clone in human breast milk associated with severe acute malnutrition in West Africa: A multicentric case-controlled study. PLoS Negl Trop Dis 2021; 15:e0009555 [View Article] [PubMed]
    [Google Scholar]
  87. Togo AH, Dubourg G, Camara A, Konate S, Delerce J et al. Listeria monocytogenes in human milk in Mali: a potential health emergency. J Infect 2020; 80:121–142 [View Article] [PubMed]
    [Google Scholar]
  88. Lee S. Bacteriocins of Listeria monocytogenes and their potential as a virulence factor. Toxins 2020; 12:103 [View Article] [PubMed]
    [Google Scholar]
  89. Tisza MJ, Pastrana DV, Welch NL, Stewart B, Peretti A et al. n.d. Discovery of several thousand highly diverse circular DNA viruses. Elife 9:e51971 [View Article] [PubMed]
    [Google Scholar]
  90. O’Sullivan DJ, Zagula K, Klaenhammer TR. In vivo restriction by LlaI is encoded by three genes, arranged in an operon with llaIM, on the conjugative Lactococcus plasmid pTR2030. J Bacteriol 1995; 177:134–143 [View Article] [PubMed]
    [Google Scholar]
  91. Djordjevic GM, Klaenhammer TR. Positive selection, cloning vectors for gram-positive bacteria based on a restriction endonuclease cassette. Plasmid 1996; 35:37–45 [View Article] [PubMed]
    [Google Scholar]
  92. Morozova N, Sabantsev A, Bogdanova E, Fedorova Y, Maikova A et al. Temporal dynamics of methyltransferase and restriction endonuclease accumulation in individual cells after introducing a restriction-modification system. Nucleic Acids Res 2016; 44:790–800 [View Article] [PubMed]
    [Google Scholar]
  93. Murphy J, Mahony J, Ainsworth S, Nauta A, van Sinderen D. Bacteriophage orphan DNA methyltransferases: insights from their bacterial origin, function, and occurrence. Appl Environ Microbiol 2013; 79:7547–7555 [View Article] [PubMed]
    [Google Scholar]
  94. Hennecke H, Springer M, Böck A. A specialized transducing λ phage carrying the Escherichia coli genes for phenylalanyl-tRNA synthetase. Molec Gen Genet 1977; 152:205–210 [View Article]
    [Google Scholar]
  95. Viboud GI, Bliska JB. Yersinia outer proteins: role in modulation of host cell signaling responses and pathogenesis. Annu Rev Microbiol 2005; 59:69–89 [View Article] [PubMed]
    [Google Scholar]
  96. Nirody JA, Budin I, Rangamani P. ATP synthase: evolution, energetics, and membrane interactions. J Gen Physiol 2020; 152:e201912475 [View Article] [PubMed]
    [Google Scholar]
  97. Torrance EL, Diop A, Bobay LM. Homologous recombination shapes the architecture and evolution of bacterial genomes. bioRxiv 20242024.05.31.596828 [View Article] [PubMed]
    [Google Scholar]
  98. Voronina OL, Ryzhova NN, Aksenova EI, Kunda MS, Kutuzova AV et al. Genetic diversity of Listeria detected in the production environment of meat processing. Mol Gen Microbiol Virol 2023; 38:21–28 [View Article] [PubMed]
    [Google Scholar]
  99. Pérez-Baltar A, Pérez-Boto D, Medina M, Montiel R. Genomic diversity and characterization of Listeria monocytogenes from dry-cured ham processing plants. Food Microbiol 2021; 99:103779 [View Article] [PubMed]
    [Google Scholar]
  100. Lambrechts K, Gouws P, Rip D. Genetic diversity of Listeria monocytogenes from seafood products, its processing environment, and clinical origin in the Western Cape, South Africa using whole genome sequencing. AIMS Microbiol 2024; 10:608–643 [View Article] [PubMed]
    [Google Scholar]
  101. Zhang P, Ji L, Wu X, Chen L, Yan W et al. Prevalence, genotypic characteristics, and antibiotic resistance of Listeria monocytogenes from retail foods in Huzhou, China. J Food Prot 2024; 87:100307 [View Article] [PubMed]
    [Google Scholar]
  102. Moura A, Lefrancq N, Wirth T, Leclercq A, Borges V et al. Emergence and global spread of Listeria monocytogenes main clinical clonal complex. Sci Adv 2021; 7:eabj9805 [View Article] [PubMed]
    [Google Scholar]
  103. Deng X, Phillippy AM, Li Z, Salzberg SL, Zhang W. Probing the pan-genome of Listeria monocytogenes: new insights into intraspecific niche expansion and genomic diversification. BMC Genomics 2010; 11:500 [View Article]
    [Google Scholar]
  104. Lee G, Chakraborty U, Gebhart D, Govoni GR, Zhou ZH et al. F-Type bacteriocins of Listeria monocytogenes: a new class of phage tail-like structures reveals broad Parallel Coevolution between Tailed Bacteriophages and High-Molecular-Weight Bacteriocins. J Bacteriol 2016; 198:2784–2793 [View Article] [PubMed]
    [Google Scholar]
  105. Sigal N, Lichtenstein-Wolfheim R, Schlussel S, Azulay G, Borovok I et al. Specialized Listeria monocytogenes produce tailocins to provide a population-level competitive growth advantage. Nat Microbiol 2024; 9:2727–2737 [View Article] [PubMed]
    [Google Scholar]
  106. Hain T, Ghai R, Billion A, Kuenne CT, Steinweg C et al. Comparative genomics and transcriptomics of lineages I, II, and III strains of Listeria monocytogenes. BMC Genomics 2012; 13:144 [View Article] [PubMed]
    [Google Scholar]
  107. Römling U, Galperin MY. Bacterial cellulose biosynthesis: diversity of operons, subunits, products, and functions. Trends Microbiol 2015; 23:545–557 [View Article] [PubMed]
    [Google Scholar]
  108. Vasu K, Nagaraja V. Diverse functions of restriction-modification systems in addition to cellular defense. Microbiol Mol Biol Rev 2013; 77:53–72 [View Article] [PubMed]
    [Google Scholar]
  109. Harrand AS, Jagadeesan B, Baert L, Wiedmann M, Orsi RH. Evolution of Listeria monocytogenes in a food processing plant involves limited single-nucleotide substitutions but considerable diversification by gain and loss of prophages. Appl Environ Microbiol 2020; 86:e02493-19 [View Article] [PubMed]
    [Google Scholar]
  110. Loessner MJ. Improved procedure for bacteriophage typing of listeria strains and evaluation of new phages. Appl Environ Microbiol 1991; 57:882–884 [View Article] [PubMed]
    [Google Scholar]
  111. Vu HTK, Stasiewicz MJ, Benjakul S, Vongkamjan K. Genome sequences of listeria phages induced from lysogenic isolates of listeria monocytogenes from seafood and a seafood processing environment in thailand. Genome Announc 2018; 6:00546–18 [View Article] [PubMed]
    [Google Scholar]
  112. Vu HTK, Stasiewicz MJ, Benjakul S, Vongkamjan K. Genomic analysis of prophages recovered from Listeria monocytogenes lysogens found in seafood and seafood-related environment. Microorganisms 2021; 9:1354 [View Article] [PubMed]
    [Google Scholar]
  113. Dorscht J, Klumpp J, Bielmann R, Schmelcher M, Born Y et al. Comparative genome analysis of listeria bacteriophages reveals extensive mosaicism, programmed translational frameshifting, and a novel prophage insertion site. J Bacteriol 2009; 191:7206–7215 [View Article] [PubMed]
    [Google Scholar]
  114. Makyio H, Iino R, Ikeda C, Imamura H, Tamakoshi M et al. Structure of a central stalk subunit F of prokaryotic V-type ATPase/synthase from Thermus thermophilus. EMBO J 2005; 24:3974–3983 [View Article] [PubMed]
    [Google Scholar]
  115. Beier D, Spohn G, Rappuoli R, Scarlato V. Identification and characterization of an operon of Helicobacter pylori that is involved in motility and stress adaptation. J Bacteriol 1997; 179:4676–4683 [View Article] [PubMed]
    [Google Scholar]
  116. Steiner RE, Kyle AM, Ibba M. Oxidation of phenylalanyl-trna synthetase positively regulates translational quality control. Proc Natl Acad Sci 2019; 116:10058–10063 [View Article] [PubMed]
    [Google Scholar]
  117. Rajagopal L, Vo A, Silvestroni A, Rubens CE. Regulation of purine biosynthesis by a eukaryotic-type kinase in Streptococcus agalactiae. Mol Microbiol 2005; 56:1329–1346 [View Article] [PubMed]
    [Google Scholar]
  118. Galyov EE, Håkansson S, Forsberg A, Wolf-Watz H. A secreted protein kinase of yersinia Pseudotuberculosis is an indispensable virulence determinant. Nature 1993; 361:730–732 [View Article] [PubMed]
    [Google Scholar]
  119. Papavinasasundaram KG, Chan B, Chung JH, Colston MJ, Davis EO et al. Deletion of the Mycobacterium tuberculosis pknH gene confers a higher bacillary load during the chronic phase of infection in BALB/c mice. J Bacteriol 2005; 187:5751–5760 [View Article] [PubMed]
    [Google Scholar]
  120. Madec E, Laszkiewicz A, Iwanicki A, Obuchowski M, Séror S. Characterization of a membrane-linked Ser/Thr protein kinase in Bacillus subtilis, implicated in developmental processes. Mol Microbiol 2002; 46:571–586 [View Article] [PubMed]
    [Google Scholar]
  121. Hussain H, Branny P, Allan E. A eukaryotic-type serine/threonine protein kinase is required for biofilm formation, genetic competence, and acid resistance in Streptococcus mutans. J Bacteriol 2006; 188:1628–1632 [View Article] [PubMed]
    [Google Scholar]
  122. Neu JM, MacMillan SV, Nodwell JR, Wright GD. StoPK‐1, a serine/threonine protein kinase from the glycopeptide antibiotic producer Streptomyces toyocaensis NRRL 15009, affects oxidative stress response. Molecular Microbiology 2002; 44:417–430 [View Article]
    [Google Scholar]
  123. Pensinger DA, Boldon KM, Chen GY, Vincent WJB, Sherman K et al. The Listeria monocytogenes PASTA Kinase PrkA and Its substrate YvcK Are required for cell wall homeostasis, metabolism, and virulence. PLoS Pathog 2016; 12:e1006001 [View Article] [PubMed]
    [Google Scholar]
  124. Lawrence JG, Hendrix RW, Casjens S. Where are the pseudogenes in bacterial genomes?. Trends Microbiol 2001; 9:535–540 [View Article] [PubMed]
    [Google Scholar]
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