Next Article in Journal
Recent Advances in Diagnosis and Treatment Approaches in Fungal Keratitis: A Narrative Review
Previous Article in Journal
An Open View on SARS-CoV-2 Infection
Previous Article in Special Issue
Advances in Campylobacter: Molecular Epidemiology, Virulence Factors, Immune Responses and Drug Resistance
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Communication

Whole Genome Sequences, De Novo Assembly, and Annotation of Antibiotic Resistant Campylobacter jejuni Strains S27, S33, and S36 Newly Isolated from Chicken Meat

Characterization and Interventions for Foodborne Pathogens Research Unit, Eastern Regional Research Center, Agricultural Research Service (ARS), United States Department of Agriculture (USDA), 600 East Mermaid Lane, Wyndmoor, PA 19038, USA
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Microorganisms 2024, 12(1), 159; https://doi.org/10.3390/microorganisms12010159
Submission received: 4 December 2023 / Revised: 4 January 2024 / Accepted: 12 January 2024 / Published: 13 January 2024

Abstract

:
Campylobacter is a leading bacterial cause of gastrointestinal infections in humans and has imposed substantial medical and public health burdens worldwide. Among a total of 39 species in the Campylobacter genus, C. jejuni is the most important species responsible for approx. 90% of human Campylobacter illness. Most cases of the infection were acquired by ingesting undercooked poultry meat due to the high prevalence of Campylobacter in the products. Here, we reported the dataset of raw sequences, de novo assembled and annotated genomes of C. jejuni strains S27, S33, and S36 recently isolated from retail chicken by using PacBio highly accurate long-read sequencing technology combined with bioinformatics tools. Our data revealed several virulence and antibiotic resistance genes in each of the chromosomes, a type IV secretion system in the plasmid (pCjS33) of C. jejuni S33, and a type VI secretion system and a phage in the plasmid (pCjS36) of C. jejuni S36. This study not only provides new sequence data but also extends the knowledge pertaining to the genomic and functional aspects of this important foodborne pathogen, including the genetic determinants of virulence and antibiotic resistance.

1. Introduction

Campylobacter spp. are Gram-negative, spiral-shaped, highly motile bacteria which can cause human diseases such as campylobacteriosis, a form of gastroenteritis characterized by diarrhea, fever, abdominal pain, and nausea [1,2,3]. Campylobacter is the most common bacterial cause of foodborne illness in the world, responsible for an estimated 96 million cases annually [4], where 80–90% of human illnesses are due to Campylobacter jejuni [5]. The main source of infection is the consumption of contaminated raw or undercooked meat products, particularly poultry [5,6,7] due to the high prevalence of Campylobacter jejuni in retail chicken [8,9]. Studies have shown that Campylobacter can colonize the gastrointestinal tract of birds, livestock, and other animals without causing symptoms [10]. However, in humans, Campylobacter can invade the intestinal mucosa and trigger an inflammatory response, leading to tissue damage and fluid loss [11]. In some cases, Campylobacter infection can also result in serious complications, such as reactive arthritis, Guillain–Barré syndrome, and bacteremia [12].
Given the global burden and public health impact of Campylobacter infection, there is a need for a better understanding of the biology, diversity, and pathogenicity of this bacterium. Whole genome sequencing (WGS) is a powerful tool capable of providing comprehensive information regarding the genetic features and evolutionary relationships of foodborne pathogens such as Campylobacter [13]. WGS unveils the presence and distribution of genes associated with virulence, antibiotic resistance, secretion systems, and mobile genetic elements such as phages and plasmids. These elements may influence the survival, adaptation, and virulence of Campylobacter in diverse environments and hosts [14]. Furthermore, WGS facilitates the identification and characterization of novel Campylobacter strains, along with detecting and identifying outbreaks and transmission sources [15]. Therefore, WGS plays a crucial role in developing more effective and targeted strategies for preventing, diagnosing and treating Campylobacter infection [16].
In this study, the complete genome sequences and annotation of three Campylobacter jejuni strains (S27, S33, and S36) isolated from retail chicken in the United States are presented. An analysis was conducted on their genomic features in comparison to other available C. jejuni strains in public databases addressing their potential implications for food safety and public health. This is the first report of the complete genome sequences and annotation of C. jejuni strains S27, S33, and S36. These findings stand as valuable resources poised to facilitate future studies in comparative and functional genomics of this important foodborne pathogen.

2. Materials and Methods

2.1. Sample Preparation

C. jejuni strains S27, S33, and S36 were isolated from separate packages of raw chicken samples collected from local supermarkets using a previously described method [17]. Briefly, a 450 g chicken sample was rinsed with 250 mL Buffered Peptone Water, BPW (BioRad, Hercules, Ca). The rinse was concentrated by centrifugation and enriched microaerobically (5% O2, 10% CO2 and 85% N2) in Bolton broth (Oxoid, Basingstoke, Hampshire, UK) containing 5% laked horse blood (Remel, Lenexa, KS) and antibiotic selective supplement package containing cefoperazone, trimethoprim, vancomycin, and cycloheximide (Oxoid, Basingstoke, Hampshire, UK) at 42 °C for 24 h. Due to the high motility of Campylobacter, passive filtration with 0.65μm sterile cellulose acetate membranes (Merck-Millipore LTD, Cork Ireland) of the enrichment onto Brucella agar (Becton Dickinson, Sparks, MD) was chosen for bacterial isolation. Following colony purification, the genus and species of the isolates were determined using the previously reported multiplex qPCR assay [18]. Genomic DNA extraction was performed using the Qiagen genomic tip 100/G kit (Valencia, CA, USA) and quantified using the Qubit 3.0 fluorimeter (Thermo Fisher Scientific, Waltham, MA, USA) following the manufacturers’ instructions.

2.2. Whole Genome Sequencing, De Novo Assembly, and Annotation

Whole genome sequencing was conducted in the Sequel II Single Molecule Real Time (SMRT) system (Pacific Biosciences, Menlo Park, CA, USA). The library was constructed using the SMRTbell Prep Kit with the selection of insert sizes ranging from 500 bp to over 20 kb.
The raw reads obtained from PacBio long and accurate HiFi sequencing were deposited in the SRA database in GenBank. Subsequently, they underwent de novo assembly using Canu v2.2 [19] and were trimmed using the “getfasta” command of bedtools software v2.27.1. The sequences were then oriented to the dnaA starting point using Circlator 1.5.5 [20]. Functional annotation was carried out using the Rapid Annotation using Subsystem Technology (RAST) server [21]. All software was used with default parameters unless otherwise noted. The complete genomes were submitted to the genome database in GenBank and annotated using the NCBI Prokaryotic Genomic Annotation Pipeline (https://www.ncbi.nlm.nih.gov/genome/annotation_prok/, accessed on 7 August 2023) and the Rapid Annotation using Subsystems Technology (RAST, http://rast.nmpdr.org/, accessed on 27 July 2023).

3. Results

C. jejuni S27, S33, and S36 were isolated from separate packages of fresh chicken collected from local retailers in February 2023. These isolates displayed colonies with round shapes, smooth edges, and a glistening translucent yellowish or pinkish color on Brucellar agar plates. Confirmation of the genus and species of the strains was achieved through a real-time qPCR assay. Whole genome sequencing of C. jejuni S27, S33, and S36 from chicken samples was performed using PacBio long and accurate HiFi sequencing, followed by de novo assembly into complete genomes. Table 1 summarizes the statistics of raw sequence data and assembled complete genomes of the C. jejuni isolates.
The assembled genome sizes (~1.6–1.7 Mb) and G + C contents (30.4–30.5%) of these new isolates as shown in Table 1, align closely with other C. jejuni genomes found in the NCBI database. Each strain contains a circular chromosome and, in addition to this, C. jejuni S33 harbors a 40.7 kb plasmid (pCjS33), while C. jejuni S36 carries an 86.8 kb plasmid (pCjS36). Comparison with the available plasmids in GenBank showed that pCjS33 shares 99.30% sequence identity and 96% query coverage with the Campylobacter pTet plasmid, while pCjS36 exhibits up to 99.87% sequence identity and 98% query coverage with multiple C. jejuni plasmids.
The functional prediction of the chromosomes by Rapid Annotation using Subsystems Technology (RAST, http://rast.nmpdr.org/, accessed on 27 July 2023) is summarized in Table 2. Among the subsystems identified by RAST, there were more than 47 genes associated with the virulence, disease causation, defense, and motility of the C. jejuni strains, including cadF, jlpA, porA, and pebA genes associated with adhesion, ciaB, pldA, and flaC for invasion, and a cytolethal distending toxin cdtABC gene cluster.
The annotation of the pTet plasmid (pCjS33) in C. jejuni S33 revealed a gene cluster containing the cag pathogenicity island, which encodes a type IV secretion system (T4SS) and a tetO gene that encodes tetracycline resistance protein. This protein protects bacterial ribosomes from binding tetracycline. The prevalence of pTet family plasmids in Campylobacter is notable because they can be horizontally transmitted between the strains, which is a major factor in acquired resistance in Campylobacter spp. In contrast, the plasmid pCjS36 possesses a gene cluster associated with a type VI secretion system (T6SS), which is a novel virulence factor responsible for delivering toxic effectors. These effectors play roles in host colonization, cell adhesion and invasion, and the lysis of erythrocytes [22,23,24]. Collectively these findings underscore the potential of the strains to cause human disease.
Furthermore analyses of the C. jejuni S33 and S36 genomes revealed the presence of numerous phage proteins as predicted by the NCBI Prokaryotic Genomic Annotation Pipeline (PGAP) [25]. Table A1 and Table A2 show the genes and proteins associated with phage packaging, portals, and terminases in C. jejuni S33 and S36, respectively. Consistent with the PGAP predictions, PHASTER, a web-based phage search tool (https://phaster.ca/), predicted an intact 40 kb phage (30.58% GC content) containing 62 proteins along with phage attachment sites (attL and attR) within the sequence region 79591–119622 in C. jejuni S33 chromosome. Similarly, PHASTER detected a 43.4 kb intact phage (29.69% GC content) containing 56 proteins and phage attachment sites (attL and attR) within the sequence region 49017–92474 in C. jejuni S36. Bacteriophage and plasmids play pivotal roles in the horizontal transfer of genetic material. The finding of these mobile genetic elements within the genomes indicates genetic divergence and rearrangement in Campylobacter evolution.

4. Discussion

Campylobacter jejuni is a major cause of foodborne gastroenteritis worldwide, mainly associated with the consumption of contaminated poultry products. Despite this significance, the complete molecular mechanism behind Campylobacter infections remains incompletely understood, suggesting dependance on a number of virulence factors involving cell adhesion, invasion, and motility [26]. Whole genome sequencing was employed to examine the genomic characteristics of three C. jejuni strains (S27, S33, and S36) recently isolated from retail chicken in the United States. Comparing their genomic features with those of other C. jejuni strains available in public databases revealed the presence of virulence determinants within these three strains. These include factors associated with motility (flaAB, flaC, flgE, flgP, flgR, flgS, fliS, fliW, and pflAB) and chemotaxis (cheA, cheW, cheV, cheY, cheR, and cheB), as well as factors associated with adhesion and invasion to host cells (htrA, cadF, flpA, jlpA, capA, porA, pebA, ciaAB, and pldA). Furthermore, these strains carry cytolethal distending toxin (cdtABC) associated with binding to host cells, resulting in enlargement and cell death. Additionally, the strains possess lipooligosaccharide (LOS) facilitating attachment and endocytosis into host cells.
Additionally, a type IV secretion system was identified in the plasmid (pCjS33) of C. jejuni S33, a critical virulence factor typically encoded in mobile genomic islands (plasmids, conjugative elements, or pathogenicity islands). This system is involved in protein transfer across the cell envelope, enhances the oxidative stress response, and contributes to host colonization [27]. In contrast, the plasmid (pCjS36) of C. jejuni S36 contains a gene cluster that encodes a type VI secretion system. This system has demonstrated important roles in contact-dependent host cell adherence and invasion, promoting colonization, inducing cytotoxicity of red blood cells, and enhancing survival within the host gastrointestinal tract under conditions of oxidative stress [28,29].
The presence of these genes within the genomes could confer advantages to C. jejuni, enhancing its survival, adaptation, transmission, and pathogenicity across different environments and hosts. These findings emphasize the potential risks associated with C. jejuni infection originating from retail chicken, underscoring the need for improved food safety and public health measures. Moreover, this study contributes to understanding the molecular mechanisms governing C. jejuni–host interactions and horizontal gene transfer. Such insights may facilitate the development of novel therapeutic strategies for managing campylobacteriosis. Notably, this is the first report detailing the complete genome sequences and annotation of C. jejuni strains S27, S33, and S36. These resources hold value for future studies in comparative and functional genomics concerning this important foodborne pathogen.

Author Contributions

Y.H. and J.C.: designing and performing experiments, analyzing data, and writing manuscript. S.K.: bioinformatics analysis and manuscript preparation, S.R. and J.L.: performing experiments. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the U.S. Department of Agriculture, Agricultural Research Service (USDA-ARS), National Program 108, Current Research Information System number 8072-42000-093-000-D. This research used resources provided by the SCINet project and the AI Center of Excellence of the USDA Agricultural Research Service, ARS project number 0500-00093-001-00-D. Mention of trade names or commercial products in this article is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the U. S. Department of Agriculture. USDA is an equal opportunity provider and employer.

Data Availability Statement

Genome sequence reads were obtained from the PacBio Sequel II system. The raw sequences of C. jejuni strains S27, S33, and S36 were deposited into the SRA database in GenBank, NCBI under the identifiers of SRA: SRP451999 and Bioproject: PRJNA999693. The complete genome sequences (chromosome/plasmid) are available in GenBank under accession numbers CP131444, CP131442/CP131443, and CP131440/CP131441.

Conflicts of Interest

The authors declare no conflicts of interest.

Appendix A

Table A1. Phage proteins in C. jejuni S33 chromosome predicted by PGAP.
Table A1. Phage proteins in C. jejuni S33 chromosome predicted by PGAP.
Locus_Tag
in NCBI
GeneProtein IDLength of Amino AcidFunction
StartStop
Q7259_004008599885510WLF63783162Phage virion morphogenesis protein
Q7259_004058821586002WLF63784737Phage tail tape measure protein
Q7259_004158891388674WLF63786 79Phage tail assembly protein
Q7259_004208957589066WLF63787169Phage major tail tube protein
Q7259_004259079589602WLF63788397Phage tail sheath family protein
Q7259_004459388492805WLF63792 359Phage tail protein
Q7259_004509450493884WLF63793206Phage tail protein I
Q7259_004559566794501WLF63794388Phage baseplate J/gp47 family protein
Q7259_004609595495664WLF6379596Phage baseplate wedge protein/gp25 family protein
Q7259_004709678396151WLF63797210Phage baseplate assembly protein V
Q7259_004759709796783WLF63798104Phage holin family protein
Q7259_005059877999594WLF63804271Phage protease
Q7259_00515100127101104WLF63806325Phage major capsid protein
Q7259_00530102269103939WLF63809556Phage terminase large subunit
Q7259_00535103949105319WLF63810456DUF935 family protein (Mu phage gp29)
Q7259_00540105321106559WLF63811412Phage minor head protein
Q7259_00545106685107059WLF63812124Phage tail protein
Q7259_00550107052107243WLF63813 63Phage tail protein X
Q7259_00555107237108214WLF63814325Phage tail protein
Q7259_00570109560109276WLF6381794Mor transcription activator family protein, phage Mu
Q7259_00585111088110639WLF63819149Regulatory protein GemA, phage Mu
Q7259_00620114570114085WLF63826161Host-nuclease inhibitor Gam family protein, phage
Q7259_00640116413115490WLF63830307ATPase/bacteriophage DNA transposition B protein
Q7259_00645118659116584WLF63831691Transposase family protein, phage Mu
Table A2. Phage proteins in C. jejuni S36 chromosome predicted by PGAP.
Table A2. Phage proteins in C. jejuni S36 chromosome predicted by PGAP.
Locus_Tag
in NCBI
GeneProtein IDLength of Amino AcidFunction
StartStop
Q7260_002755954958572WLF67118325Phage tail formation protein GpD
Q7260_002856010159727WLF67120124Phage tail protein GpU
Q7260_002906146560227WLF67121412Phage minor head protein (Mu phage gp30)
Q7260_002956283761467WLF67122456DUF935 family protein (Mu phage gp29)
Q7260_003006451762847WLF67916556Phage terminase large subunit
Q7260_003056511664517WLF67123199DUF1804 family protein (Mu phage gp31)
Q7260_003106556765109WLF67124152DUF1320 family protein (Mu phage gp36)
Q7260_003156666065683WLF67125325Major capsid protein E, phage head
Q7260_003256800867193WLF67127271Phage protease (Mu phage gp32)
Q7260_003556969170005WLF67133104Phage holin family protein
Q7260_003607000570637WLF67917210Phage baseplate assembly protein GpV
Q7260_003707083471124WLF6713596Phage baseplate assembly protein GpW (gp25 family)
Q7260_003757112172287WLF67136388Phage baseplate assembly protein GpJ (gp47 family)
Q7260_003807228472904WLF67137206Phage tail formation protein GpI
Q7260_004057591877111WLF67141397Phage tail sheath family protein
Q7260_004107713877647WLF67142169Phage major tail tube protein
Q7260_004157780078039WLF6714379Phage tail assembly protein
Q7260_004257849880720WLF67145740Phage tail tape measure protein
Q7260_004308072481212WLF67146162Phage virion morphogenesis protein
Q7260_004358131782132WLF67147271Phage DNA adenine methylase
Q7260_004558376183132WLF67151209S24 family peptidase (putative phage repressor protein)
Q7260_0658512503421251517WLF66625391Tyrosine-type recombinase/integrase (Phage integrase)
Q7260_0666012582221257491WLF66640243phage regulatory protein/anti-repressor Ant
Q7260_0675012703101269993WLF66658105head-tail adaptor protein
Q7260_0675512707601270323WLF66659145Phage gp6-like head-tail connector protein
Q7260_0676512721851271019WLF66661388Phage major capsid protein, HK97 family
Q7260_0677012727591272202WLF66662185HK97 family phage prohead protease
Q7260_0681012825371281995WLF66670180HK97 gp10 family phage protein
Q7260_0681512837061282534WLF66671390Phage portal protein
Q7260_0682512859801284355WLF66673541Phage terminase large subunit
Q7260_0683012866191285984WLF66674211P27 family phage terminase small subunit

References

  1. Galanis, E. Campylobacter and bacterial gastroenteritis. Cmaj 2007, 177, 570–571. [Google Scholar] [CrossRef] [PubMed]
  2. Kaakoush, N.O.; Castaño-Rodríguez, N.; Mitchell, H.M.; Man, S.M. Global epidemiology of Campylobacter infection. Clin. Microbiol. Rev. 2015, 28, 687–720. [Google Scholar] [CrossRef] [PubMed]
  3. Igwaran, A.; Okoh, A.I. Human campylobacteriosis: A public health concern of global importance. Heliyon 2019, 5, e02814. [Google Scholar] [CrossRef] [PubMed]
  4. Rushton, S.P.; Sanderson, R.A.; Diggle, P.J.; Shirley, M.D.F.; Blain, A.P.; Lake, I.; Maas, J.A.; Reid, W.D.K.; Hardstaff, J.; Williams, N.; et al. Climate, human behaviour or environment: Individual-based modelling of Campylobacter seasonality and strategies to reduce disease burden. J. Transl. Med. 2019, 17, 34. [Google Scholar] [CrossRef] [PubMed]
  5. Liu, F.; Lee, S.A.; Xue, J.; Riordan, S.M.; Zhang, L. Global epidemiology of campylobacteriosis and the impact of COVID-19. Front. Cell. Infect. Microbiol. 2022, 12, 1666. [Google Scholar] [CrossRef] [PubMed]
  6. Perez-Arnedo, I.; Gonzalez-Fandos, E. Prevalence of Campylobacter spp. in Poultry in Three Spanish Farms, A Slaughterhouse and A Further Processing Plant. Foods 2019, 8, 111. [Google Scholar] [CrossRef]
  7. Silva, J.; Leite, D.; Fernandes, M.; Mena, C.; Gibbs, P.A.; Teixeira, P. Campylobacter spp. as a foodborne pathogen: A review. Front. Microbiol. 2011, 2, 200. [Google Scholar] [CrossRef]
  8. Poudel, S.; Li, T.; Chen, S.; Zhang, X.; Cheng, W.-H.; Sukumaran, A.T.; Kiess, A.S.; Zhang, L. Prevalence, Antimicrobial Resistance, and Molecular Characterization of Campylobacter Isolated from Broilers and Broiler Meat Raised without Antibiotics. Microbiol. Spectr. 2022, 10, e00251-22. [Google Scholar] [CrossRef]
  9. Guyard-Nicodème, M.; Anis, N.; Naguib, D.; Viscogliosi, E.; Chemaly, M. Prevalence and Association of Campylobacter spp., Salmonella spp., and Blastocystis sp. in Poultry. Microorganisms 2023, 11, 1983. [Google Scholar] [CrossRef]
  10. Facciolà, A.; Riso, R.; Avventuroso, E.; Visalli, G.; Delia, S.A.; Laganà, P. Campylobacter: From microbiology to prevention. J. Prev. Med. Hyg. 2017, 58, E79–E92. [Google Scholar]
  11. Stahl, M.; Vallance, B.A. Insights into Campylobacter jejuni colonization of the mammalian intestinal tract using a novel mouse model of infection. Gut Microbes 2015, 6, 143–148. [Google Scholar] [CrossRef] [PubMed]
  12. Callahan, S.M.; Dolislager, C.G.; Johnson, J.G. The Host Cellular Immune Response to Infection by Campylobacter Spp. and Its Role in Disease. Infect. Immun. 2021, 89, e0011621. [Google Scholar] [CrossRef]
  13. Llarena, A.K.; Taboada, E.; Rossi, M. Whole-Genome Sequencing in Epidemiology of Campylobacter jejuni Infections. J. Clin. Microbiol. 2017, 55, 1269–1275. [Google Scholar] [CrossRef]
  14. Quino, W.; Caro-Castro, J.; Hurtado, V.; Flores-León, D.; Gonzalez-Escalona, N.; Gavilan, R.G. Genomic Analysis and Antimicrobial Resistance of Campylobacter jejuni and Campylobacter coli in Peru. Front. Microbiol. 2021, 12, 802404. [Google Scholar] [CrossRef] [PubMed]
  15. Joensen, K.G.; Schjørring, S.; Gantzhorn, M.R.; Vester, C.T.; Nielsen, H.L.; Engberg, J.H.; Holt, H.M.; Ethelberg, S.; Müller, L.; Sandø, G.; et al. Whole genome sequencing data used for surveillance of Campylobacter infections: Detection of a large continuous outbreak, Denmark, 2019. Eurosurveillance 2021, 26, 2001396. [Google Scholar] [CrossRef] [PubMed]
  16. Köser, C.U.; Ellington, M.J.; Peacock, S.J. Whole-genome sequencing to control antimicrobial resistance. Trends Genet. 2014, 30, 401–407. [Google Scholar] [CrossRef]
  17. He, Y.; Reed, S.; Bhunia, A.K.; Gehring, A.; Nguyen, L.H.; Irwin, P.L. Rapid identification and classification of Campylobacter spp. using laser optical scattering technology. Food Microbiol. 2015, 47, 28–35. [Google Scholar] [CrossRef]
  18. He, Y.; Yao, X.; Gunther, N.W.; Xie, Y.; Tu, S.-I.; Shi, X. Simultaneous Detection and Differentiation of Campylobacter jejuni, C. coli, and C. lari in Chickens Using a Multiplex Real-Time PCR Assay. Food Anal. Methods 2010, 3, 321–329. [Google Scholar] [CrossRef]
  19. Koren, S.; Walenz, B.P.; Berlin, K.; Miller, J.R.; Bergman, N.H.; Phillippy, A.M. Canu: Scalable and accurate long-read assembly via adaptive k-mer weighting and repeat separation. Genome Res. 2017, 27, 722–736. [Google Scholar] [CrossRef]
  20. Hunt, M.; Silva, N.D.; Otto, T.D.; Parkhill, J.; Keane, J.A.; Harris, S.R. Circlator: Automated circularization of genome assemblies using long sequencing reads. Genome Biol. 2015, 16, 1–10. [Google Scholar] [CrossRef]
  21. Overbeek, R.; Olson, R.; Pusch, G.D.; Olsen, G.J.; Davis, J.J.; Disz, T.; Edwards, R.A.; Gerdes, S.; Parrello, B.; Shukla, M. The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST). Nucleic Acids Res. 2014, 42, D206–D214. [Google Scholar] [CrossRef] [PubMed]
  22. Quinlan, A.R.; Hall, I.M. BEDTools: A flexible suite of utilities for comparing genomic features. Bioinformatics 2010, 26, 841–842. [Google Scholar] [CrossRef] [PubMed]
  23. Lertpiriyapong, K.; Gamazon, E.R.; Feng, Y.; Park, D.S.; Pang, J.; Botka, G.; Graffam, M.E.; Ge, Z.; Fox, J.G. Campylobacter jejuni type VI secretion system: Roles in adaptation to deoxycholic acid, host cell adherence, invasion, and in vivo colonization. PLoS ONE 2012, 7, e42842. [Google Scholar] [CrossRef] [PubMed]
  24. Bleumink-Pluym, N.M.; van Alphen, L.B.; Bouwman, L.I.; Wösten, M.M.; van Putten, J.P. Identification of a functional type VI secretion system in Campylobacter jejuni conferring capsule polysaccharide sensitive cytotoxicity. PLoS Pathog. 2013, 9, e1003393. [Google Scholar] [CrossRef] [PubMed]
  25. Tatusova, T.; DiCuccio, M.; Badretdin, A.; Chetvernin, V.; Nawrocki, E.P.; Zaslavsky, L.; Lomsadze, A.; Pruitt, K.D.; Borodovsky, M.; Ostell, J. NCBI prokaryotic genome annotation pipeline. Nucleic Acids Res. 2016, 44, 6614–6624. [Google Scholar] [CrossRef]
  26. Tegtmeyer, N.; Sharafutdinov, I.; Harrer, A.; Soltan Esmaeili, D.; Linz, B.; Backert, S. Campylobacter Virulence Factors and Molecular Host–Pathogen Interactions. In Fighting Campylobacter Infections: Towards a One Health Approach; Backert, S., Ed.; Springer International Publishing: Cham, Switzerland, 2021; pp. 169–202. [Google Scholar] [CrossRef]
  27. Gabbert, A.D.; Mydosh, J.L.; Talukdar, P.K.; Gloss, L.M.; McDermott, J.E.; Cooper, K.K.; Clair, G.C.; Konkel, M.E. The Missing Pieces: The Role of Secretion Systems in Campylobacter jejuni Virulence. Biomolecules 2023, 13, 135. [Google Scholar] [CrossRef]
  28. Liaw, J.; Hong, G.; Davies, C.; Elmi, A.; Sima, F.; Stratakos, A.; Stef, L.; Pet, I.; Hachani, A.; Corcionivoschi, N.; et al. The Campylobacter jejuni Type VI Secretion System Enhances the Oxidative Stress Response and Host Colonization. Front. Microbiol. 2019, 10, 2864. [Google Scholar] [CrossRef]
  29. Agnetti, J.; Seth-Smith, H.M.B.; Ursich, S.; Reist, J.; Basler, M.; Nickel, C.; Bassetti, S.; Ritz, N.; Tschudin-Sutter, S.; Egli, A. Clinical impact of the type VI secretion system on virulence of Campylobacter species during infection. BMC Infect. Dis. 2019, 19, 237. [Google Scholar] [CrossRef]
Table 1. Statistics of the sequence data and assembled genomes for C. jejuni strains.
Table 1. Statistics of the sequence data and assembled genomes for C. jejuni strains.
C. jejuni StrainSRA Accession No.Accession No. Chromosome/
Plasmid
No. of Reads/
Av. Length
QualityReads N50/
N90
Average Read DepthSize of Chromosome/Plasmid (bp)GC Content of Chromosome/Plasmid (%)
S27SRX21182642CP131444/N/A432,285/
12,361
Q3612,878/
9041
31761,663,226/
N/A
30.5/
N/A
S33SRX21182643CP131442/CP131443438,906/
13,482
Q3514,143/
9886
6991,748,761/
40,686
30.4/
28.4
S36SRX21182644CP131440/CP131441420,379/
12,137
Q3612,672/876727681,715,845/
86,827
30.4/
26.0
Table 2. Summarized features of the annotated chromosomes in C. jejuni strains.
Table 2. Summarized features of the annotated chromosomes in C. jejuni strains.
C. jejuni StrainNo. of Coding SequencesNo. of RNAsNo. of Functional SubsystemsNo. of Virulence, Disease & Defense GenesNo. of Motility & Chemotaxis Genes
S271667531891730
S331850531881732
S361825501881733
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

He, Y.; Kanrar, S.; Reed, S.; Lee, J.; Capobianco, J. Whole Genome Sequences, De Novo Assembly, and Annotation of Antibiotic Resistant Campylobacter jejuni Strains S27, S33, and S36 Newly Isolated from Chicken Meat. Microorganisms 2024, 12, 159. https://doi.org/10.3390/microorganisms12010159

AMA Style

He Y, Kanrar S, Reed S, Lee J, Capobianco J. Whole Genome Sequences, De Novo Assembly, and Annotation of Antibiotic Resistant Campylobacter jejuni Strains S27, S33, and S36 Newly Isolated from Chicken Meat. Microorganisms. 2024; 12(1):159. https://doi.org/10.3390/microorganisms12010159

Chicago/Turabian Style

He, Yiping, Siddhartha Kanrar, Sue Reed, Joe Lee, and Joseph Capobianco. 2024. "Whole Genome Sequences, De Novo Assembly, and Annotation of Antibiotic Resistant Campylobacter jejuni Strains S27, S33, and S36 Newly Isolated from Chicken Meat" Microorganisms 12, no. 1: 159. https://doi.org/10.3390/microorganisms12010159

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop