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. 2021 Aug 5;10(31):e00546-21. doi: 10.1128/MRA.00546-21

Genome Sequences of Lactococcus garvieae and Lactococcus petauri Strains Isolated from Traditional Montenegrin Brine Cheeses

Aleksandra Martinovic a,, Adriana Cabal b, Andjela Nisic a, Jasmin Sucher b, Anna Stöger b, Franz Allerberger b, Werner Ruppitsch b,c,
Editor: Steven R Gilld
PMCID: PMC8340862  PMID: 34351226

ABSTRACT

Lactococcus garvieae and Lactococcus petauri cause lactococcosis in fish. Both species have also been isolated from various food products and are considered emerging zoonotic pathogens. Here, we report the genomes of L. garvieae INF126 and L. petauri INF110, obtained from traditional Montenegrin brine cheeses.

ANNOUNCEMENT

Lactococcus garvieae and Lactococcus petauri are members of the lactic acid bacteria (LAB) group. L. garvieae was first described as Streptococcus garvieae in 1983 (1) and subsequently separated into subgroups A and B (2). Genomic analysis reassigned L. garvieae subgroup A strains to the recently described species L. petauri (3). Consequently, both species can be considered the etiological agents of lactococcosis in fish (4, 5) and emerging opportunistic zoonotic pathogens (68). The isolation of both species from a variety of food (911) also implicates a contribution to the quality and typicity of various traditional food products (10). Comparison with other sequenced strains may provide new information on their safety (12), adaptation to diverse environments, and importance for traditional food products (10).

Enrichment and isolation of bacterial isolates from traditional Montenegrin white brine cheeses was performed using M17 and de Man, Rogosa, and Sharpe (MRS) broth (both from HiMedia, India) according to the method previously described (13). Colonies morphologically suspected to be LAB were subcultured on MRS agar for species identification by matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) (Microflex LT/SH, MBT Compass IVD 4.2; Bruker, Billerica, MA, USA) and whole-genome sequencing (WGS).

For WGS, genomic DNA was obtained from overnight cultures grown on MRS agar at 37°C using the MagAttract high-molecular-weight (HMW) DNA kit (Qiagen, Hilden, Germany). Libraries were prepared using Nextera XT (Illumina, Inc., San Diego, CA, USA), and 2 × 300-bp sequencing was performed on a MiSeq instrument (Illumina, Inc.) as previously described (14).

Default parameters were used for all software unless otherwise specified. FastQC v0.11.9. was used to control raw read quality, Trimmomatic v0.36 (15) was used to remove adapter sequences and to trim the last 10 bp of each sequence and sequences with quality scores of <20, and SPAdes v3.15.2 (16) was used for read assembly. Contigs were filtered for a minimum coverage of 5-fold and a minimum length of 200 bp using SeqSphere+ software v7.5.2 (Ridom GmbH, Würzburg, Germany).

WGS of L. petauri INF110 and L. garvieae INF126 generated 1,839,606 and 1,035,909 reads, respectively. Assemblies resulted in 172 and 149 contigs with a mean coverage of 55- and 41-fold and a GC content of 37.9% and 38.8%, respectively. The NCBI Prokaryotic Genome Automatic Annotation Pipeline (17) identified 2,256 and 2,383 genes, 2,197 and 2,244 coding sequences, 163 and 70 pseudogenes, and 59 and 69 RNA genes, respectively (Table 1).

TABLE 1.

Characteristics and accession numbers of genomes of L. garvieae isolates from Montenegrin brine cheesea

Strain Species (dDDH and rMLST) Genome size (Mb) GC content (%) No. of reads Total no. of genes CDS No. of RNA genes Avg coverage (×) No. of contigs Contig N50 (bp) AMR genes MGE Plasmids Bacteriocin gene GenBank accession no. SRA accession no.
INF110 L. petauri 2.2 37.9 1,839,606 2,256 2,197 59 55 172 50,638 mdt(A), clpI ISLll1, ISS1N, ISS1X, IS-LL6 pVF21 (PLACNETw: 11,324 bp/21,739 bp; REL, 98.333%; RIP, 98.695%), pGL5 (PLACNETw: 34.207 bp/68,798 bp; no REL/RIP sequences; BLAST: 83.61–97.92% identity/19% coverage) garQ JAGYXE000000000 SRR14581598
INF126 L. garvieae 2.3 38.8 1,035,909 2,383 2,244 59 41 149 217,709 lsa(D), clpI IS1068, ISS1N, ISTeha2 rep33 (ResFinder), pClS8 (PLACNETw: 40,920 bp/80,592 bp; REL, 96.667%; RIP, 78.553%), pGL5 (PLACNETw: 18,661 bp/68,798 bp; REL, 94.667%; RIP, 83.069%; BLAST: 96.33–99.27% identity/9% coverage) garQ JAGYXD000000000 SRR14581597
a

Isolates were identified as nonpathogenic (CGE-PathoFinder). AMR, antimicrobial resistance; MGE, mobile genetic elements; REL, relaxases; RIP, replication initiation proteins; rMLST, ribosomal multilocus sequence typing; CDS, coding DNA sequences.

MALDI-TOF identified both isolates as L. garvieae. Digital DNA-DNA hybridization (dDDH) (18) identified INF110 as L. petauri with similarities of 82.3% to L. petauri 159469T and 50.7% to L. garvieae ATCC 49156T. INF126 was identified as L. garvieae with 80.2% similarity to L. garvieae ATCC 49156T and 54.8% to L. petauri 159469T. The average nucleotide identity (ANI) (19) between INF110/INF126 and L. petauri 159469T and L. garvieae ATCC 49156T was 97.21% and 92.80% and 92.32% and 97.56%, respectively. A gene-by-gene comparison with an ad hoc core genome scheme comprising 1,268 targets using SeqSphere+ with default settings and strain ATCC 49156 as a reference showed 1,177 allelic differences between INF110 and INF126 and no similarities to other strains deposited in GenBank. For safety evaluation of pathogenicity and antimicrobial resistance, plasmids and mobile genetic elements were determined through the tools available from the Center for Genomic Epidemiology (http://www.genomicepidemiology.org/) and PLACNETw (20), respectively (Table 1).

Data availability.

The whole-genome shotgun (WGS) project has been deposited in DDBJ/ENA/GenBank under the BioProject PRJNA727069 with the accession no. JAGYXE000000000 (INF110) and JAGYXD000000000 (INF126). The versions described in this paper are the first versions, JAGYXE010000000 and JAGYXD010000000. The raw sequence reads have been deposited in the Sequence Read Archive (SRA) under accession no. SRR14581598 (INF110) and SRR14581597 (INF126).

ACKNOWLEDGMENT

The research was funded through a grant from the Ministry of Science of Montenegro, innovation project “Products and Process Innovation in the Montenegrin Food Industry, INNOFOOD,” no. MNE-INNO-2018-24.

Contributor Information

Aleksandra Martinovic, Email: aleksandra.martinovic@udg.edu.me.

Werner Ruppitsch, Email: werner.ruppitsch@ages.at.

Steven R. Gill, University of Rochester School of Medicine and Dentistry

REFERENCES

  • 1.Collins MD, Farrow JA, Phillips BA, Kandler O. 1983. Streptococcus garvieae sp. nov. and Streptococcus plantarum sp. nov. J Gen Microbiol 129:3427–3431. doi: 10.1099/00221287-129-11-3427. [DOI] [PubMed] [Google Scholar]
  • 2.Morita H, Toh H, Oshima K, Yoshizaki M, Kawanishi M, Nakaya K, Suzuki T, Miyauchi E, Ishii Y, Tanabe S, Murakami M, Hattori M. 2011. Complete genome sequence and comparative analysis of the fish pathogen Lactococcus garvieae. PLoS One 6:e23184. doi: 10.1371/journal.pone.0023184. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Goodman LB, Lawton MR, Franklin-Guild RJ, Anderson RR, Schaan L, Thachil AJ, Wiedmann M, Miller CB, Alcaine SD, Kovac J. 2017. Lactococcus petauri sp. nov., isolated from an abscess of a sugar glider. Int J Syst Evol Microbiol 67:4397–4404. doi: 10.1099/ijsem.0.002303. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Vendrell D, Balcázar JL, Ruiz-Zarzuela I, de Blas I, Gironés O, Múzquiz JL. 2006. Lactococcus garvieae in fish: a review. Comp Immunol Microbiol Infect Dis 29:177–198. doi: 10.1016/j.cimid.2006.06.003. [DOI] [PubMed] [Google Scholar]
  • 5.Kotzamanidis C, Malousi A, Bitchava K, Vafeas G, Chatzidimitriou D, Skoura L, Papadimitriou E, Chatzopoulou F, Zdragas A. 2020. First report of isolation and genome sequence of L. petauri strain from a rainbow trout lactococcosis outbreak. Curr Microbiol 77:1089–1096. doi: 10.1007/s00284-020-01905-8. [DOI] [PubMed] [Google Scholar]
  • 6.Gibello A, Galán-Sánchez F, Blanco MM, Rodríguez-Iglesias M, Domínguez L, Fernández-Garayzábal JF. 2016. The zoonotic potential of Lactococcus garvieae: an overview on microbiology, epidemiology, virulence factors and relationship with its presence in foods. Res Vet Sci 109:59–70. doi: 10.1016/j.rvsc.2016.09.010. [DOI] [PubMed] [Google Scholar]
  • 7.Lee JY, Hyun M, Kim HA, Ryu SY. 2020. Infectious spondylitis and septicemia due to Lactococcus garvieae: a literature review of non-endocarditis cases. Infect Chemother 52:e63. doi: 10.3947/ic.2019.0015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Cai J, Chen J, Schwarz S, Wang Y, Zhang R. 2021. Detection of the plasmid-borne oxazolidinone/phenicol resistance gene optrA in Lactococcus garvieae isolated from faecal samples. Clin Microbiol Infect doi: 10.1016/j.cmi.2021.04.027. [DOI] [PubMed] [Google Scholar]
  • 9.Garroni E, Doulgeraki AI, Pavli F, Spiteri D, Valdramidis VP. 2020. Characterization of indigenous lactic acid bacteria in cow milk of the Maltese Islands: a geographical and seasonal assessment. Microorganisms 8:812. doi: 10.3390/microorganisms8060812. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Jin Y, Luo B, Cai J, Yang B, Zhang Y, Tian F, Ni Y. 2021. Evaluation of indigenous lactic acid bacteria of raw mare milk from pastoral areas in Xinjiang, China, for potential use in probiotic fermented dairy products. J Dairy Sci 104:5166–5184. doi: 10.3168/jds.2020-19398. [DOI] [PubMed] [Google Scholar]
  • 11.Sorge US, Huber-Schlenstedt R, Schierling K. 2021. In vitro antimicrobial resistance profiles of Streptococcus uberis, Lactococcus spp., and Enterococcus spp. from quarter milk samples of cows between 2015 and 2019 in southern Germany. J Dairy Sci 104:5998–6012. doi: 10.3168/jds.2020-19896. [DOI] [PubMed] [Google Scholar]
  • 12.Laulund S, Wind A, Derkx P, Zuliani V. 2017. Regulatory and safety requirements for food cultures. Microorganisms 5:28. doi: 10.3390/microorganisms5020028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Martinovic A, Radulovic Z, Wind A, Janzen T, Obradovic D. 2005. Isolation and characterization of bacterial flora from farmhouse fermented milk products of Serbia and Montenegro. Acta Veterinaria 55:307–318. [Google Scholar]
  • 14.Ruppitsch W, Nisic A, Stöger A, Allerberger F, Martinovic A. 2020. Draft genome sequences of five Enterococcus faecium isolates from traditional Montenegrin brine cheese. Microbiol Resour Announc 9:e00353-20. doi: 10.1128/MRA.00353-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Bolger AM, Lohse M, Usadel B. 2014. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30:2114–2120. doi: 10.1093/bioinformatics/btu170. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, Lesin VM, Nikolenko SI, Pham S, Prjibelski AD, Pyshkin AV, Sirotkin AV, Vyahhi N, Tesler G, Alekseyev MA, Pevzner PA. 2012. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol 19:455–477. doi: 10.1089/cmb.2012.0021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Zhang Z, Schwartz S, Wagner L, Miller W. 2000. A greedy algorithm for aligning DNA sequences. J Comput Biol 7:203–214. doi: 10.1089/10665270050081478. [DOI] [PubMed] [Google Scholar]
  • 18.Meier-Kolthoff JP, Göker M. 2019. TYGS is an automated high-throughput platform for state-of-the-art genome-based taxonomy. Nat Commun 10:2182. doi: 10.1038/s41467-019-10210-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Richter M, Rosselló-Móra R, Glöckner FO, Peplies J. 2015. JSpeciesWS: a Web server for prokaryotic species circumscription based on pairwise genome comparison. Bioinformatics 32:929–931. doi: 10.1093/bioinformatics/btv681. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Vielva L, de Toro M, Lanza VF, de la Cruz F. 2017. PLACNETw: a Web-based tool for plasmid reconstruction from bacterial genomes. Bioinformatics 33:3796–3798. doi: 10.1093/bioinformatics/btx462. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The whole-genome shotgun (WGS) project has been deposited in DDBJ/ENA/GenBank under the BioProject PRJNA727069 with the accession no. JAGYXE000000000 (INF110) and JAGYXD000000000 (INF126). The versions described in this paper are the first versions, JAGYXE010000000 and JAGYXD010000000. The raw sequence reads have been deposited in the Sequence Read Archive (SRA) under accession no. SRR14581598 (INF110) and SRR14581597 (INF126).


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