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Volume 11, Issue 2

Genomic diversity and evolutionary patterns of affecting farmed striped catfish () in Vietnam over 20 years Open Access

Abstract

continues to pose a significant risk to the health and production of striped catfish () in Vietnam. Whilst recent advances in genomic sequencing provide an insight into the global genomic diversity of this important fish pathogen, genome-wide analysis of Vietnamese isolates recovered over time is lacking. In this study, we used a whole-genome sequencing approach to compare the genomes of 31 isolates recovered over a 20-year period (2001–2021) and performed comparative genomic analysis to explore temporal changes in genome diversity, population structure and mechanisms driving pathogenesis and antimicrobial resistance. Our findings revealed an open pan-genome with 4148 genes and a core genome (3 060 genes) accounting for over two-thirds of the genome. Moreover, we found the genomes sequenced to classify into two distinct lineages and estimated the ancestral origin of these lineages within Vietnam to date back to the 1950s. Plasmids were highly prevalent in Vietnamese , with isolates harbouring up to four plasmids within their genome. Further, a diverse mobilome was observed with nine different plasmid types detected across the genome collection. Exploration of putative plasmids revealed a diverse set of antimicrobial resistance genes (ARGs) against key antibiotics used in Vietnamese aquaculture and virulence genes associated with protein secretion systems. Correlation analysis revealed the total number of ARGs detected in genomes to increase with isolate recovery time. Whilst the number of virulence genes remained relatively stable, temporal variation was noted in several virulence factors related to motility and immune system modulation. Findings from this study highlight the need for continued genomic surveillance to monitor changes in antimicrobial resistance and pathogenesis, to help inform the development of disease control and management strategies.

  • Received:
  • Accepted:
  • Published Online:
Keyword(s): antimicrobial resistance , Edwardsiella ictaluri , genome , Pangasianodon hypophthalmus , phylogenomics and virulence
Funding
This study was supported by the:
  • International Development Research Centre (IDRC) (Award 109057)
    • Principal Award Recipient: MargaretCrumlish
© 2025 The Authors
  • This is an open-access article distributed under the terms of the Creative Commons Attribution License.
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2025-02-19
2025-12-10

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References

  1. FAOFisheries and aquaculture software. FishStat Plus - Universal software for fishery statistical time series. Bibliographic citation [online] 2021
  2. Phan LT, Bui TM, Nguyen TTT, Gooley GJ, Ingram BA et al. Current status of farming practices of striped catfish, Pangasianodon hypophthalmus in the Mekong Delta, Vietnam. Aquaculture 2009; 296:227–236 [View Article]
     [Google Scholar]
  3. De Silva SS, Phuong NT. Striped catfish farming in the Mekong Delta, Vietnam: a tumultuous path to a global success. Rev Aquac 2011; 3:45–73 [View Article]
     [Google Scholar]
  4. Adeolu M, Alnajar S, Naushad S, S Gupta R. Genome-based phylogeny and taxonomy of the ‘Enterobacteriales’: proposal for Enterobacterales ord. nov. divided into the families Enterobacteriaceae, Erwiniaceae fam. nov., Pectobacteriaceae fam. nov., Yersiniaceae fam. nov., Hafniaceae fam. nov., Morganellaceae fam. nov., and Budviciaceae fam. nov. Int J Syst Evol Microbiol 2016; 66:5575–5599 [View Article] [PubMed]
     [Google Scholar]
  5. Vu NT, Sang NV, Trong TQ, Duy NH, Dang NT et al. Breeding for improved resistance to Edwardsiella ictaluri in striped catfish (Pangasianodon hypophthalmus): quantitative genetic parameters. J Fish Dis 2019; 42:1409–1417 [View Article] [PubMed]
     [Google Scholar]
  6. Pirarat N, Ooi EL, Thompson KD, Thinh NH, Maita M et al. Examination of entry portal and pathogenesis of Edwardsiella ictaluri infection in striped catfish, Pangasianodon hypophthalmus. Aquaculture 2016; 464:279–285 [View Article]
     [Google Scholar]
  7. Ferguson HW, Turnbull JF, Shinn A, Thompson K, Dung TT et al. Bacillary necrosis in farmed Pangasius hypophthalmus (Sauvage) from the Mekong Delta, Vietnam. J Fish Dis 2001; 24:509–513 [View Article]
     [Google Scholar]
  8. Crumlish M, Dung TT, Turnbull JF, Ngoc NTN, Ferguson HW. Identification of Edwardsiella ictaluri from diseased freshwater catfish, Pangasius hypophthalmus (Sauvage), cultured in the Mekong Delta, Vietnam. J Fish Dis 2002; 25:733–736 [View Article]
     [Google Scholar]
  9. Hoa TTT, Boerlage AS, Duyen TTM, Thy DTM, Hang NTT et al. Nursing stages of striped catfish (Pangasianodon hypophthalmus) in Vietnam: pathogens, diseases and husbandry practices. Aquaculture 2021; 533:736114 [View Article]
     [Google Scholar]
  10. Phu TM, Phuong NT, Dung TT, Hai DM, Son VN et al. An evaluation of fish health-management practices and occupational health hazards associated with Pangasius catfish (Pangasianodon hypophthalmus) aquaculture in the Mekong Delta, Vietnam. Aquac Res 2016; 47:2778–2794 [View Article]
     [Google Scholar]
  11. Dang LT, Nguyen LT, Pham VT, Bui HTT. Usage and knowledge of antibiotics of fish farmers in small‐scale freshwater aquaculture in the Red River Delta, Vietnam. Aquac Res 2021; 52:3580–3590 [View Article]
     [Google Scholar]
  12. Dung TT, Haesebrouck F, Tuan NA, Sorgeloos P, Baele M et al. Antimicrobial susceptibility pattern of Edwardsiella ictaluri isolates from natural outbreaks of bacillary necrosis of Pangasianodon hypophthalmus in Vietnam. Microbial Drug Resistance 2008; 14:311–316 [View Article]
     [Google Scholar]
  13. Nguyen TL, Tran KC, Thi TNN, Nguyen LP-H, Thi NT et al. Identification of multi-antibiotic resistant bacteria isolated from Vietnamese climbing perch (Anabas testudineus) on fish farms in Ho Chi Minh City, Vietnam. IOP Conf Ser Earth Environ Sci 2021; 947:012036 [View Article]
     [Google Scholar]
  14. Nhinh DT, Giang NTH, Van Van K, Dang LT, Dong HT et al. Widespread presence of a highly virulent Edwardsiella ictaluri strain in farmed tilapia, Oreochromis spp. Transbound Emerg Dis 2022; 69:e2276–e2290 [View Article] [PubMed]
     [Google Scholar]
  15. Lulijwa R, Rupia EJ, Alfaro AC. Antibiotic use in aquaculture, policies and regulation, health and environmental risks: a review of the top 15 major producers. Rev Aquac 2020; 12:640–663 [View Article]
     [Google Scholar]
  16. Orlek A, Anjum MF, Mather AE, Stoesser N, Walker AS. Factors associated with plasmid antibiotic resistance gene carriage revealed using large-scale multivariable analysis. Sci Rep 2023; 13:2500 [View Article] [PubMed]
     [Google Scholar]
  17. Williams ML, Gillaspy AF, Dyer DW, Thune RL, Waldbieser GC et al. Genome sequence of Edwardsiella ictaluri 93-146, a strain associated with a natural channel catfish outbreak of enteric septicemia of catfish. J Bacteriol 2012; 194:740–741 [View Article]
     [Google Scholar]
  18. Machimbirike VI, Uthaipaisanwong P, Khunrae P, Dong HT, Senapin S et al. Comparative genomics of Edwardsiella ictaluri revealed four distinct host-specific genotypes and thirteen potential vaccine candidates. Genomics 2021; 113:1976–1987 [View Article]
     [Google Scholar]
  19. Bartie KL, Austin FW, Diab A, Dickson C, Dung TT et al. Intraspecific diversity of Edwardsiella ictaluri isolates from diseased freshwater catfish, Pangasianodon hypophthalmus (Sauvage), cultured in the Mekong Delta, Vietnam. J Fish Dis 2012; 35:671–682 [View Article]
     [Google Scholar]
  20. Rogge ML, Dubytska L, Jung TS, Wiles J, Elkamel AA et al. Comparison of Vietnamese and US isolates of Edwardsiella ictaluri. Dis Aquat Organ 2013; 106:17–29 [View Article] [PubMed]
     [Google Scholar]
  21. Griffin MJ, Reichley SR, Greenway TE, Quiniou SM, Ware C et al. Comparison of Edwardsiella ictaluri isolates from different hosts and geographic origins. J Fish Dis 2016; 39:947–969 [View Article]
     [Google Scholar]
  22. Erickson VI, Dung TT, Khoi LM, Hounmanou YMG, Phu TM et al. Genomic Insights into Edwardsiella ictaluri: molecular epidemiology and antimicrobial resistance in striped catfish (Pangasianodon hypophthalmus) aquaculture in Vietnam. Microorganisms 2024; 12:1182 [View Article] [PubMed]
     [Google Scholar]
  23. Payne CJ, Grace K, Phuong VH, Phuoc NN, Dung TT et al. Exploring the genetic diversity of Edwardsiella ictaluri in Vietnamese striped catfish (Pangasianodon hypophthalmus) farms over a 20-year period. Front Mar Sci 2023; 10: [View Article]
     [Google Scholar]
  24. Chen S. Ultrafast one-pass FASTQ data preprocessing, quality control, and deduplication using fastp. Imeta 2023; 2:e107 [View Article] [PubMed]
     [Google Scholar]
  25. Wick RR, Judd LM, Gorrie CL, Holt KE. Unicycler: resolving bacterial genome assemblies from short and long sequencing reads. PLoS Comput Biol 2017; 13:e1005595 [View Article] [PubMed]
     [Google Scholar]
  26. Olson RD, Assaf R, Brettin T, Conrad N, Cucinell C et al. Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): a resource combining PATRIC, IRD and ViPR. Nucleic Acids Research 2023; 51:D678–D689 [View Article]
     [Google Scholar]
  27. Parks DH, Imelfort M, Skennerton CT, Hugenholtz P, Tyson GW. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res 2015; 25:1043–1055 [View Article]
     [Google Scholar]
  28. Tatusova T, DiCuccio M, Badretdin A, Chetvernin V, Nawrocki EP et al. NCBI prokaryotic genome annotation pipeline. Nucleic Acids Res 2016; 44:6614–6624 [View Article] [PubMed]
     [Google Scholar]
  29. Clausen PTLC, Aarestrup FM, Lund O. Rapid and precise alignment of raw reads against redundant databases with KMA. BMC Bioinf 2018; 19:307 [View Article] [PubMed]
     [Google Scholar]
  30. Larsen MV, Cosentino S, Lukjancenko O, Saputra D, Rasmussen S et al. Benchmarking of methods for genomic taxonomy. J Clin Microbiol 2014; 52:1529–1539 [View Article]
     [Google Scholar]
  31. Hasman H, Saputra D, Sicheritz-Ponten T, Lund O, Svendsen CA et al. Rapid whole-genome sequencing for detection and characterization of microorganisms directly from clinical samples. J Clin Microbiol 2014; 52:139–146 [View Article] [PubMed]
     [Google Scholar]
  32. 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]
  33. Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics 2014; 30:2068–2069 [View Article]
     [Google Scholar]
  34. Price MN, Dehal PS, Arkin AP. FastTree 2--approximately maximum-likelihood trees for large alignments. PLoS One 2010; 5:e9490 [View Article] [PubMed]
     [Google Scholar]
  35. Jolley KA, Bray JE, Maiden MCJ. Open-access bacterial population genomics: BIGSdb software, the PubMLST.org website and their applications. Wellcome Open Res 2018; 3:124 [View Article] [PubMed]
     [Google Scholar]
  36. Buján N, Balboa S, L. Romalde J, E. Toranzo A, Magariños B. Population genetic and evolution analysis of controversial genus Edwardsiella by multilocus sequence typing. Mol Phylogenet Evol 2018; 127:513–521 [View Article]
     [Google Scholar]
  37. Kaas RS, Leekitcharoenphon P, Aarestrup FM, Lund O. Solving the problem of comparing whole bacterial genomes across different sequencing platforms. PLoS One 2014; 9:e104984 [View Article] [PubMed]
     [Google Scholar]
  38. Cheng L, Connor TR, Sirén J, Aanensen DM, Corander J. Hierarchical and spatially explicit clustering of DNA sequences with BAPS software. Mol Biol Evol 2013; 30:1224–1228 [View Article] [PubMed]
     [Google Scholar]
  39. Tonkin-Hill G, Lees JA, Bentley SD, Frost SDW, Corander J. RhierBAPS: an R implementation of the population clustering algorithm hierBAPS. Wellcome Open Res 2018; 3:93 [View Article] [PubMed]
     [Google Scholar]
  40. Jain C, Rodriguez-R LM, Phillippy AM, Konstantinidis KT, Aluru S. High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries. Nat Commun 2018; 9:5114 [View Article] [PubMed]
     [Google Scholar]
  41. 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: [View Article]
     [Google Scholar]
  42. Rambaut A, Lam TT, Max Carvalho L, Pybus OG. Exploring the temporal structure of heterochronous sequences using TempEst (formerly Path-O-Gen). Virus Evol 2016; 2:vew007 [View Article]
     [Google Scholar]
  43. Bouckaert R, Vaughan TG, Barido-Sottani J, Duchêne S, Fourment M et al. BEAST 2.5: an advanced software platform for Bayesian evolutionary analysis. PLoS Comput Biol 2019; 15:e1006650 [View Article] [PubMed]
     [Google Scholar]
  44. Flouri T, Izquierdo-Carrasco F, Darriba D, Aberer AJ, Nguyen L-T et al. The phylogenetic likelihood library. Syst Biol 2015; 64:356–362 [View Article] [PubMed]
     [Google Scholar]
  45. Darriba D, Posada D, Kozlov AM, Stamatakis A, Morel B et al. ModelTest-NG: a new and scalable tool for the selection of DNA and protein evolutionary models. Mol Biol Evol 2020; 37:291–294 [View Article] [PubMed]
     [Google Scholar]
  46. Russel PM, Brewer BJ, Klaere S, Bouckaert RR. Model selection and parameter inference in phylogenetics using nested sampling. Syst Biol 2019; 68:219–233 [View Article] [PubMed]
     [Google Scholar]
  47. Marçais G, Delcher AL, Phillippy AM, Coston R, Salzberg SL et al. MUMmer4: a fast and versatile genome alignment system. PLoS Comput Biol 2018; 14:e1005944 [View Article] [PubMed]
     [Google Scholar]
  48. Wickham H. ggplot2. wires computational statistics [internet]; 2011 https://doi.org/10.1002/wics.147
  49. Monlong J. MUMmerplots with ggplot2 [Internet]; 2018 https://jmonlong.github.io/Hippocamplus/2017/09/19/mummerplots-with-ggplot2/
  50. Zhang Z, Schwartz S, Wagner L, Miller W. A greedy algorithm for aligning DNA sequences. J Comput Biol 2000; 7:203–214 [View Article]
     [Google Scholar]
  51. Wick RR, Schultz MB, Zobel J, Holt KE. Bandage: interactive visualization of de novo genome assemblies. Bioinformatics 2015; 31:3350–3352 [View Article] [PubMed]
     [Google Scholar]
  52. Stohr JJJM, Kluytmans-van den Bergh MFQ, Wedema R, Friedrich AW, Kluytmans JAJW et al. Detection of extended-spectrum beta-lactamase (ESBL) genes and plasmid replicons in Enterobacteriaceae using PlasmidSPAdes assembly of short-read sequence data. Microb Genom 2020; 6:mgen000400 [View Article] [PubMed]
     [Google Scholar]
  53. 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]
  54. Petkau A, Stuart-Edwards M, Stothard P, Van Domselaar G. Interactive microbial genome visualization with GView. Bioinformatics 2010; 26:3125–3126 [View Article]
     [Google Scholar]
  55. Jia B, Raphenya AR, Alcock B, Waglechner N, Guo P et al. CARD 2017: expansion and model-centric curation of the comprehensive antibiotic resistance database. Nucleic Acids Res 2017; 45:D566–D573 [View Article]
     [Google Scholar]
  56. Atxaerandio-Landa A, Arrieta-Gisasola A, Laorden L, Bikandi J, Garaizar J et al. A practical bioinformatics workflow for routine analysis of bacterial WGS data. Microorganisms 2022; 10:2364 [View Article] [PubMed]
     [Google Scholar]
  57. Chen L, Zheng D, Liu B, Yang J, Jin Q. VFDB 2016: hierarchical and refined dataset for big data analysis—10 years on. Nucleic Acids Res 2016; 44:D694–D697 [View Article]
     [Google Scholar]
  58. Zhou M, Wu Y, Kudinha T, Jia P, Wang L et al. Comprehensive pathogen identification, antibiotic resistance, and virulence genes prediction directly from simulated blood samples and positive blood cultures by nanopore metagenomic sequencing. Front Genet 2021; 12:620009 [View Article] [PubMed]
     [Google Scholar]
  59. Dong HT, Senapin S, Jeamkunakorn C, Nguyen VV, Nguyen NT et al. Natural occurrence of edwardsiellosis caused by Edwardsiella ictaluri in farmed hybrid red tilapia (Oreochromis sp.) in Southeast Asia. Aquaculture 2019; 499:17–23 [View Article]
     [Google Scholar]
  60. Nguyen TTT. Patterns of use and exchange of genetic resources of the striped catfish Pangasianodon hypophthalmus (Sauvage 1878). Rev Aquac 2009; 1:224–231 [View Article]
     [Google Scholar]
  61. Mawardi M, Jaelani J, Zainun Z, Mundayana Y, Chilora BS et al. Identification and characterization of Edwardsiella ictaluri from diseased Pangasius pangasius, cultured in Cirata Lake, Indonesia. Biodiversitas 2018; 19:816–822 [View Article]
     [Google Scholar]
  62. Shaw LP, Wang AD, Dylus D, Meier M, Pogacnik G et al. The phylogenetic range of bacterial and viral pathogens of vertebrates. Mol Ecol 2020; 29:3361–3379 [View Article]
     [Google Scholar]
  63. Duchêne S, Holt KE, Weill F-X, Le Hello S, Hawkey J et al. Genome-scale rates of evolutionary change in bacteria. Microb Genom 2016; 2:e000094 [View Article] [PubMed]
     [Google Scholar]
  64. Phuong NT, Oanh DTH. Striped catfish aquaculture in Vietnam: a decade of unprecedented development. In Success Stories in Asian Aquaculture 2010 pp 137–147 [View Article]
     [Google Scholar]
  65. Hasan MR, Shipton TA. Aquafeed value chain analysis of striped catfish in Vietnam. Aquaculture 2021; 541:736798 [View Article]
     [Google Scholar]
  66. Bullones-Bolaños A, Bernal-Bayard J, Ramos-Morales F. The NEL family of bacterial E3 ubiquitin ligases. Int J Mol Sci 2022; 23:7725 [View Article] [PubMed]
     [Google Scholar]
  67. San Millan A, MacLean RC. Fitness costs of plasmids: a limit to plasmid transmission. Microbiol Spectr 2017; 5: [View Article] [PubMed]
     [Google Scholar]
  68. Janda JM, Duman M. Expanding the spectrum of diseases and disease associations caused by Edwardsiella tarda and related species. Microorganisms 2024; 12:1031 [View Article] [PubMed]
     [Google Scholar]
  69. Machimbirike VI, Crumlish M, Dong HT, Santander J, Khunrae P et al. Edwardsiella ictaluri: a systemic review and future perspectives on disease management. Rev Aquac 2022; 14:1613–1636 [View Article]
     [Google Scholar]
  70. Ström GH, Björklund H, Barnes AC, Da CT, Nhi NHY et al. Antibiotic use by small-scale farmers for freshwater aquaculture in the upper Mekong Delta, Vietnam. J Aquat Anim Health 2019; 31:290–298 [View Article] [PubMed]
     [Google Scholar]
  71. Alday-Sanz V, Corsin F, Irde E, Bondad-Reantaso MG. Survey on the use of veterinary medicines in aquaculture. In Bondad-Reantaso MG, Arthur JR, Subasinghe RP. eds AO Fisheries and Aquaculture Technical Paper No 547 - Improving Biosecurity through Prudent and Responsible Use of Veterinary Medicines in Aquatic Food Production 547 Rome: FAO; 2012 pp 29–44
     [Google Scholar]
  72. MARD Amendments and supplements to circular no. 15/2009/tt-bnn dated 17/3/2009 by the ministry of agriculture and rural development for the list of drugs. In Chemicals and Antimicrobials Are Prohibited and Restricted Use in Aquaculture 2012
     [Google Scholar]
  73. Luu QH, Nguyen TBT, Nguyen TLA, Do TTT, Dao THT et al. Antibiotics use in fish and shrimp farms in Vietnam. Aquac Rep 2021; 20:100711 [View Article]
     [Google Scholar]
  74. Carrique-Mas JJ, Hue LT, Dung LT, Thuy NT, Padungtod P. Restrictions on antimicrobial use in aquaculture and livestock, Viet Nam. Bull World Health Organ 2023; 101:223–225 [View Article] [PubMed]
     [Google Scholar]
  75. The Prime Minister of Vietnam Decision 985/QD-ttg dated august 16, 2022 on the national aquaculture development program for the period of 2021 - 2030; 2022
  76. Islam MI, Ridone P, Lin A, Michie KA, Matzke NJ et al. Ancestral reconstruction of the MotA stator subunit reveals that conserved residues far from the pore are required to drive flagellar motility. Microlife 2023; 4:uqad011 [View Article] [PubMed]
     [Google Scholar]
  77. Hawke JP, McWHORTER AC, Steigerwalt AG, Brenner DJ. Edwardsiella ictaluri sp. nov., the causative agent of enteric septicemia of catfish. Int J Syst Bacteriol 1981; 31:396–400 [View Article]
     [Google Scholar]
  78. Lovewell RR, Collins RM, Acker JL, O’Toole GA, Wargo MJ et al. Step-wise loss of bacterial flagellar torsion confers progressive phagocytic evasion. PLoS Pathog 2011; 7:e1002253 [View Article]
     [Google Scholar]
  79. Thakur A, Mikkelsen H, Jungersen G. Intracellular pathogens: host immunity and microbial persistence strategies. J Immunol Res 2019; 2019:1356540 [View Article] [PubMed]
     [Google Scholar]
  80. Remer KA, Bartrow M, Roeger B, Moll H, Sonnenborn U et al. Split immune response after oral vaccination of mice with recombinant Escherichia coli Nissle 1917 expressing fimbrial adhesin K88. Int J Med Microbiol 2009; 299:467–478 [View Article] [PubMed]
     [Google Scholar]
  81. Dubreuil JD, Isaacson RE, Schifferli DM. Animal enterotoxigenic Escherichia coli. EcoSal Plus 2016; 7: [View Article] [PubMed]
     [Google Scholar]
  82. Zhang L, Wang F, Jia L, Yan H, Gao L et al. Edwardsiella piscicida infection reshapes the intestinal microbiome and metabolome of big-belly seahorses: mechanistic insights of synergistic actions of virulence factors. Front Immunol 2023; 14:1135588 [View Article] [PubMed]
     [Google Scholar]
  83. Santander J, Golden G, Wanda SY, Curtiss R. Fur-regulated iron uptake system of Edwardsiella ictaluri and its influence on pathogenesis and immunogenicity in the catfish host. Infect Immun 2012; 80:2689–2703 [View Article] [PubMed]
     [Google Scholar]
  84. Santander J, Martin T, Loh A, Pohlenz C, Gatlin DM et al. Mechanisms of intrinsic resistance to antimicrobial peptides of Edwardsiella ictaluri and its influence on fish gut inflammation and virulence. Microbiology 2013; 159:1471–1486 [View Article] [PubMed]
     [Google Scholar]
  85. Booth NJ, Beekman JB, Thune RL. Edwardsiella ictaluri encodes an acid-activated urease that is required for intracellular replication in channel catfish (Ictalurus punctatus) macrophages. Appl Environ Microbiol 2009; 75:6712–6720 [View Article]
     [Google Scholar]
  86. Filloux A. Bacterial protein secretion systems: game of types. Microbiology 2022; 168: [View Article] [PubMed]
     [Google Scholar]
  87. Kalindamar S, Abdelhamed H, Kordon AO, Tekedar HC, Pinchuk L et al. Characterization of type VI secretion system in Edwardsiella ictaluri. PLoS One 2023; 18:e0296132 [View Article] [PubMed]
     [Google Scholar]
  88. Dubytska LP, Rogge ML, Thune RL. Identification and characterization of putative translocated effector proteins of the Edwardsiella ictaluri type III secretion system. mSphere 2016; 1:1–14 [View Article] [PubMed]
     [Google Scholar]
  89. Costa TRD, Harb L, Khara P, Zeng L, Hu B et al. Type IV secretion systems: advances in structure, function, and activation. Mol Microbiol 2021; 115:436–452 [View Article] [PubMed]
     [Google Scholar]
  90. Juhas M, Crook DW, Hood DW. Type IV secretion systems: tools of bacterial horizontal gene transfer and virulence. Cell Microbiol 2008; 10:2377–2386 [View Article] [PubMed]
     [Google Scholar]
  91. Cabezón E, Ripoll-Rozada J, Peña A, de la Cruz F, Arechaga I. Towards an integrated model of bacterial conjugation. FEMS Microbiol Rev 2015; 39:81–95 [View Article] [PubMed]
     [Google Scholar]
  92. Liu Y, Gao Y, Liu X, Liu Q, Zhang Y et al. Transposon insertion sequencing reveals T4SS as the major genetic trait for conjugation transfer of multi-drug resistance pEIB202 from Edwardsiella. BMC Microbiol 2017; 17:112 [View Article] [PubMed]
     [Google Scholar]
  93. Meuskens I, Saragliadis A, Leo JC, Linke D. Type V secretion systems: an overview of passenger domain functions. Front Microbiol 2019; 10:1163 [View Article] [PubMed]
     [Google Scholar]
  94. Williams ML, Lawrence ML. Identification and characterization of a two-component hemolysin from Edwardsiella ictaluri. Vet Microbiol 2005; 108:281–289 [View Article]
     [Google Scholar]
  95. Wang X, Wang Q, Xiao J, Liu Q, Wu H et al. Hemolysin EthA in Edwardsiella tarda is essential for fish invasion in vivo and in vitro and regulated by two-component system EsrA–EsrB and nucleoid protein HhaEt. Fish Shellfish Immunol 2010; 29:1082–1091 [View Article]
     [Google Scholar]
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Genomic diversity and evolutionary patterns of Edwardsiella ictaluri affecting farmed striped catfish (Pangasianodon hypophthalmus) in Vietnam over 20 years
M Gen 11, 001368 (2025); https://doi.org/10.1099/mgen.0.001368
/content/journal/mgen/10.1099/mgen.0.001368
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