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International Journal of Systematic and Evolutionary Microbiology logoLink to International Journal of Systematic and Evolutionary Microbiology
. 2021 Mar 18;71(3):004715. doi: 10.1099/ijsem.0.004715

Closed genome sequences of Staphylococcus lloydii sp. nov. and Staphylococcus durrellii sp. nov. isolated from captive fruit bats (Pteropus livingstonii)

Kay Fountain 1,*, Marjorie J Gibbon 1, Anette Loeffler 2,, Edward J Feil 1,
PMCID: PMC8375422  PMID: 33734958

Abstract

The increasing availability of whole genome sequencing of bacteria has accelerated the discovery of novel species which may not have been easy to discriminate using standard phenotypic or single gene methods. Phylogenomic analysis of genome sequences from a collection of coagulase-negative staphylococcal species isolated from captive fruit bats revealed two clusters which were close to Staphylococcus kloosii. To assess the relatedness of the strains we used digital DNA–DNA hybridization (dDDH) and two methods for average nucleotide identity (ANI) computation which predicted two novel species having dDDH less than 70 % and ANI less than 95%. We propose these species as Staphylococcus lloydii sp. nov. (type strain 23_2_7_LYT=NCTC 14453T=DSM 111639T) and Staphylococcus durrellii sp. nov (type strain 27_4_6_LYT=NCTC 14454T=DSM 111640T).

Keywords: Livingstone’s bats, Staphylococcus kloosii, Staphylococcus durrellii, Staphylococcus lloydii


Staphylococci inhabit the skin and mucosae of most mammals and birds [1]. They are typically harmless commensal organisms, but can cause bacterial infection as opportunistic invaders of wounds or implant devices, or where host defences are compromised [2]. There are currently more than 50 recognized coagulase-negative and coagulase-positive species within the genus Staphylococcus, many of which are difficult to differentiate using either traditional phenotypic methods or single gene methods such as 16S rRNA [3]. Multilocus sequence analysis methods such as ribosomal MLST are more discriminatory, but the increasing availability of whole genome sequencing (WGS) and the use of phylogenomics not only allow the inference of species delineation but also allow species to be placed in their evolutionary context within genera [4–7]. The traditional technique of DNA–DNA hybridization (DDH) has been the gold standard for species delineation of closely related microbial species, but has been mostly superseded by in silico methods based on whole genome sequences [6, 7]. The similarity between two whole genomes can be measured as the average nucleotide identity (ANI), with 95 % similarity being a widely accepted species cut-off that is broadly in line with the DDH threshold [8]. Calculation of the genome-to-genome distance (GGD) gives better concurrence with DDH and several methods have been described to infer a digital DDH (dDDH) value based on a 70 % threshold for species identity [6, 7]. Genome blast distance phylogeny (GBDP) is one such method which has demonstrated robust agreement with DDH values, and includes resampling to provide confidence intervals for the results. It is incorporated into the workflow of the Type Strain Genome Server (TYGS), which calculates the closest related type strains, utilizes GBDP to calculate the dDDH, and the intergenomic distances to infer a phylogenetic tree [7].

Whole genome phylogenies of staphylococcal species have been used to define clades within the genus. For example, Naushad et al. defined five clades in bovine coagulase-negative staphylococci, the most recently diverged of which contains nine species including Staphylococcus saprophyticus, Staphylococcus arlettae and Staphylococcus kloosii [9].

We have previously assembled a collection of staphylococcal isolates recovered from captive Livingstone’s bats (Pteropus livingstonii), a critically endangered species of fruit bat native to the Comoros Islands, and from captive and free-ranging UK native bats [10]. Phenotypic identification of these isolates suggested that S. kloosii were numerous, but for some isolates recovered from Livingstone’s bats in Jersey Zoo, the species identification was not supported by matrix-assisted laser desorption-ionization time-of-flight mass spectrometry (MALDI-TOF MS). To help resolve these discrepancies we sequenced the whole genomes of seven representative presumptive S. kloosii isolates on the Illumina platform. Phylogenomic analysis of these data revealed two novel lineages related to, but distinct from, S. kloosii. We then used long-read sequencing on the Oxford nanopore platform to construct closed hybrid assemblies for a single representative isolate of each of these two clusters, plus a single S. kloosi isolate. Calculation of GGD and ANI based on these sequences established that the novel lineages correspond to new species which we designate Staphylococcus lloydii sp. nov. and Staphylococcus durrellii sp. nov.

Methods

Bacterial isolates

Frozen stored isolates from captive Livingstone’s fruit bats in Jersey Zoo (Channel Islands) collected as described in Fountain et al., and from captive and free-ranging UK native bats were used [10]. Isolates had previously been identified phenotypically using the Staph ID32 test kit (bioMérieux) and two MALDI-TOF MS runs, with the second run using an updated database to include more relevant animal associated species (Bruker Microflex LT, Bruker Daltonics; database versions 6 and 7). The identification and origin of the isolates are listed in Table 1.

Table 1.

Identity and origin of seven presumptive S. kloosii isolates from captive bats and results of whole genome sequencing

Isolate ID

Species

Host species (sample site)†

No. of contigs

G+C content %

Length (bp)

Plasmids (bp)

17942E* (2_7_1_Y)

S. kloosii

SB (L)

5

32.79

2 700 772

49440, 25020, 21690, 5440

14_7_6_SW

S. kloosii

LFB (S)

10

32.85

2 644 309

None

14_4_1_W

S. kloosii

WB (S)

12

32.79

2 743 246

31207, 21157, 3877

18_1_E_LY

S. lloydii

LFB (ME)

8

33.24

2 544 180

None

23_2_7_LYT*

S. lloydii

LFB (S)

1

33.24

2 568 697

None

23_2_20_HW

S. lloydii

LFB (S)

9

33.5

2 501 648

None

27_4_7_LYT*

S. durrellii

LFB (O)

3

32.51

2 633 060

86290, 4692

*Denotes isolates with closed genomes assembled from long and short reads. Length and G+C content of assemblies of genomes of S. kloosii, S. lloydii sp. nov. and S. durrellii sp. nov. from bats in base pairs plus lengths of plasmids inferred using Mob-suite [15].

†LFB, Livingstone’s fruit bat; WB, whiskered bat (Myotis mystacinus); SB, serotine bat (Eptesicus serotinus); L, lesion; S, skin; O, oropharynx; ME, mouth ejecta.

Phenotypic identification

Isolates were identified using aerobic growth at 37 °C on Columbia agar with 5 % sheep blood, Gram-staining, slide clumping-factor test and tube coagulase test using rabbit plasma (Pro-Lab Diagnostics), catalase test, modified oxidase test using 1 % Kovacs oxidase reagent (Acros Organics, Thermo Fisher Scientific), DNase agar test, oxacillin-resistance screening agar (ORSAB) and Staph ID32 test kit (all reagents from Oxoid, Thermo Fisher Scientific, unless otherwise stated). Further antimicrobial resistance was assessed by disc diffusion tests on Muller–Hinton agar as described in Fountain et al. with the addition of the antibiotic polymyxin B (300 IU) [10].

Genome sequencing

In order to provide additional evidence concerning the identification of the isolates for which the MALDI-TOF MS data was equivocal, we chose seven isolates for full genome sequencing on the Illumina Hi-Seq platform. Although all seven isolates were characterised as S. kloosi on the basis of the phenotypic tests, the MALDI-TOF MS data did not confirm these assignments for four of these isolates.

These seven isolates were genome sequenced using Illumina Hiseq (MicrobesNG). DNA was extracted using incubation with lysostaphin, RNase A and proteinase K, followed by purification using SPRI beads. Libraries were prepared using the Nextera XT Library Prep Kit (Illumina) and sequenced on the Illumina HiSeq using a 250 bp paired-end protocol.

Phylogenetic analysis using a maximum-likelihood tree constructed in RAxML-NG based on core-gene analysis of the Illumina data using Roary revealed two clusters that were related to, but distinct from, S. kloosi (data not shown) [11, 12]. In order to further characterize these two clusters, a representative isolate from each was selected for long read sequencing using Oxford Nanopore (Oxford Nanopore Technologies), as well as a third isolate confirmed as S. kloosi. Genomic DNA was extracted using the Wizard DNA Extraction Kit (Promega). Libraries were prepared using the Rapid Barcoding Kit and multiplexed samples were sequenced using a R9.4.1 flow cell on a MinION (Oxford Nanopore Technologies). Reads were demultiplexed using Deepbinner followed by hybrid assembly to produce a closed genome using Unicycler [13, 14]. Genomes were annotated using Prokka [15]. Potential plasmid sequences were confirmed using plasmidSPAdes and investigated using Mob-recon from Mob-suite to classify them against the database of known plasmids [16, 17]. Closed genomes were aligned using progressiveMauve [18].

Species identification

ANI comparisons of the genomes were calculated using both the blast method in Kostas Lab webserver and OrthoANI using usearch in Chunlab webserver [8, 19, 20]. The TYGS was used to calculate GGD and 16S rRNA sequence similarity, using genomes in the public databases as described in Meier-Kolthoff et al. [7]. The method is as follows: All pairwise comparisons among the set of genomes were conducted using GBDP and accurate intergenomic distances inferred under the algorithm ‘trimming’ and distance formula d5. One hundred distance replicates were calculated each. dDDH values and confidence intervals were calculated using the recommended settings of the Genome-to-Genome Distance Calculator (GGDC 2.1). The resulting intergenomic distances were used to infer a balanced minimum-evolution tree with branch support via FastME 2.1.4 including SPR postprocessing. Branch support was inferred from 100 pseudo-bootstrap replicates each [7].

Results and discussion

Genomes

Seven genome sequences were produced: three closed genomes using hybrid assembly of short and long reads, and four more from short reads with fewer than 12 contigs (Table 1). Phylogenetic analysis, ANI and dDDH calculation as detailed below identified two novel species which we henceforth refer to as S. lloydii sp. nov. and S. durrellii sp. nov. (Fig. 1, Table 2)

Fig. 1.

Fig. 1.

Tree inferred with FastME 2.1.6.1 from GBDP distances calculated from genome sequences using the TYGS workflow [7]. The branch lengths are scaled in terms of GBDP distance formula d5. The numbers above branches are GBDP pseudo-bootstrap support values >60 % from 100 replications, with an average branch support of 77.6 %. The tree was rooted at the midpoint. Coloured branches and tip labels are isolates from bats. Four of these form two distinct clusters separate from any known species (blue and red).

Table 2.

Genome distance measures of seven bat isolates against S. kloosii type strain NCTC12415, and mean MALDI-TOF MS score for species assignment

ANI>95 %, dDDH>70 % and MALDI-TOF MS>1.7 indicate strong species identification. nr, MALDI-TOF MS score not reported.

Isolate ID

Species

MALDI-TOF MS score (S. kloosii)

16S rRNA sequence identity (S. kloosii AB009940)

Mean ANI (vs type Strain)

dDDH (vs type strain) [confidence Interval]

17942E (2_7_1_Y)

S. kloosii

>2

99.88

99

91.3 [89.1–93.0]

14_7_6_SW

S. kloosii

>2

100

99

91.2 [89.0–93.0]

14_4_1_W

S. kloosii

>2

100

96

68.4 [65.6–71.4]

18_1_E_LY

S. lloydii

1.41

100

90

42.5 [40.0–45.1]

23_2_7_LYT

S. lloydii

1.47

100

90

42.5 [40.0–45.1]

23_2_20_HW

S. lloydii

S. simiae (nr), S. succinus (1.31)

100

90

42.4 [39.9–45.0]

27_4_6_LYT

S. durrellii

1.44

99.53

86

38.1 [35.6–40.6]

Genome distance analysis

The TYGS analysis identified the 28 type strains that were most similar to the seven genomes from bats. The four bat genomes that were not unequivocally assigned as S. kloosi using MALDI-TOF MS are resolved into two novel lineages, one of which is a cluster of three similar isolates, and the fourth (27_4_6_LYT) representing a more diverged lineage. These lineages appear distant from all type strains, suggesting they represent two new species. In contrast, the three sequenced isolates that were assigned as S. kloosi by MALDI-TOF MS cluster much more closely with the type strain of this species (Fig. 1).

The four isolates corresponding to the two diverged lineages described above have a mean ANI less than 95 % and dDDH less than 70 %, when compared to the S. kloosi type strain NCTC 12415 (isolated from squirrel skin), thus confirming they are novel species (Table 2). This analysis also confirms that the other three sequenced isolates that cluster with S. kloosi fall within the sequence divergence threshold for this species.

To further compare the genome content of the two novel species with S. kloosi, we used progressiveMauve to align the three closed genomes generated using hybrid assembly (Fig. 2). This analysis revealed a high degree of synteny between the genomes (conserved gene order) except for a localized rearrangement (shown in magenta) reflecting bacteriophages present in S. kloosii and S. lloydii sp. nov. but absent from S. durrellii sp. nov. The two phages each have different insertion points and only share around 30 % blastn similarity. All isolates of the two novel species lack the urease operon and phenotypic testing confirmed that they do not produce urease.

Fig. 2.

Fig. 2.

ProgressiveMauve alignment of closed genomes of S. kloosii, (top) S. lloydii sp. nov. (middle) and S. durrellii sp. nov. (bottom) from bats. Apart from one small reordering (magenta) which represents a bacteriophage, there is most variation closest to the origin of replication on the extreme left and right of the figure.

S. durrellii sp. nov. is predicted by Mob-typer to contain two plasmids classified as novel plasmids closest to pC221 from S. aureus (4692 bp) and pC2014-2 from S. equorum (86 290 bp) [17].

Phenotypic and chemotaxonomic characterization

Using Gram stain the isolates were purple cocci, and occurred singly, paired and in clusters. Smooth, shiny, domed, non-haemolytic colonies were seen after 24 h aerobic growth on Columbia 5 % sheep blood agar (Table 3); however, S. durrellii sp. nov. also showed mucoid growth (Fig. 3). The phenotypic characteristics of the seven isolates are detailed in Table 4.

Table 3.

Colony size and colour of seven isolates from bats after 24 h aerobic growth at 37 °C on Columbia agar with 5 % sheep blood

ID

Species

Host species

Colony size

Colony colour

2_7_1_Y (17942E)

S. kloosii

Serotine bat

1–2 mm

White/cream

14_7_6_SW

S. kloosii

Livingstone’s bat

2–3 mm

White

14_4_1_W

S. kloosii

Whiskered bat

1–2 mm

White

23_2_7_LYT

S. lloydii

Livingstone’s bat

1–2 mm

Yellow/cream

23_2_20_HW

S. lloydii

Livingstone’s bat

1–2 mm

White

18_1_E_LY

S. lloydii

Livingstone’s bat

2–3 mm

Cream

27_4_7_LYT

S. durrellii

Livingstone’s bat

1 mm

Yellow

Fig. 3.

Fig. 3.

S. durrellii sp. nov. (27_4_7_LYT) showing yellow pigment and mucoid growth after 24 hours aerobic growth at 37 °C on Columbia agar with 5% sheep blood.

Table 4.

Phenotypic characteristics of the S. kloosii type strain (NCTC 12415) [21], three confirmed S. kloosii isolates from bats, three S. lloydii sp. nov. isolates from fruit bats and one S. durrellii sp. nov. isolate from a fruit bat

+, All isolates positive; −, all isolates negative; v, variable (33–66 % of strains positive); nd, not done.

Characteristic

S. kloosii type strain (NCTC 12415)

S. kloosii (n=3)

S. lloydii sp. nov. (n=3)

S. durrellii sp. nov. (n=1)

DNase

Beta-haemolysis

Oxidase

Acetoin (Vokes–Proskauer)

+

Urease

+

+

Arginine dihydrolase

Ornithine decarboxylase

Aesculin hydrolysis

d-Glucose

+

+

+

+

d-Fructose

+

+

+

+

d-Mannose

Maltose

+/−

+

+

Lactose

+/−

v

Trehalose

+/−

+

v

+

d-Mannitol

+/−

+

v

+

Raffinose

d-Ribose

+

Cellobiose

Nitrate reduction

Beta-galactosidase

+

+

Arginine arylamidase

v

v

Alkaline phosphatase

+

+

v

+

Pyrrolidonyl arylamidase

+

+

+

+

Novobiocin resistance

+

+

+

+

Polymyxin B resistance

nd

Sucrose fermentation

N-Acetyl-glucosamine fermentation

v

Turanose fermentation

l-Arabinose fermentation

+/−

v

Beta-glucuronidase

+

v

+

Conclusion

We produced whole genome sequence data for staphylococcal isolates that could not be identified with confidence on the basis of MALDI-TOF MS data. Phylogenetic analysis of the genome data revealed two novel clusters, for which a TYGS search did not provide any alternative species designation [6, 7]. Comparisons of representative isolates of these clusters with the S. kloosi type strain based on ANI and dDDH confirmed that these isolates were sufficiently divergent as to be regarded as separate novel staphylococcal species which we designate Staphylococcus lloydii sp. nov. and Staphylococcus durrellii sp. nov. Further work is needed to establish the host species range of these novel species which have so far only been isolated from Livingstone’s fruit bats. The type strains and closed genomes of examples of each species plus S. kloosii isolated from bats have been made publicly available.

Description of Staphylococcus lloydii sp. nov.

Staphylococcus lloydii (lloy’di.i. N.L. gen. n. lloydii after the eminent veterinary dermatologist and microbiologist David H. Lloyd).

Based on the characterization of three isolates originating from Livingstone’s fruit bats the cells are Gram-positive cocci occurring singly, in pairs and clusters. After 24 h aerobic growth at 37 °C on Columbia agar with 5 % sheep blood the colonies are smooth, shiny, circular, domed, white or yellow/cream and 1–2 mm in diameter, displaying no haemolysis. All isolates are catalase-positive, clumping-factor negative, coagulase-negative, oxidase-negative, DNase negative, resistant to novobiocin, sensitive to polymyxin B and grow in 10 % NaCl tryptone soy broth. They are positive for acetoin production by the Vokes−Proskauer reaction and pyrrolidonyl arylamidase. They are negative for urease production, arginine dihydrolase, ornithine decarboxylase, aesculin hydrolysis, nitrate reduction, β-galactosidase and β-glucuronidase. Variable reactions were seen for arginine arylamidase, alkaline phosphatase and N-acetyl-glucosamine fermentation. Acid production is positive from d-glucose, d-fructose and maltose; negative from d-mannose, lactose, raffinose, d-ribose, sucrose, turanose, l-arabinose and cellobiose; variable from trehalose and d-mannitol.

The type strain is strain 23_2_7_LYT (NCTC 14453T=DSM 111639T), isolated in 2015 from the skin of a captive Livingstone’s fruit bat in Jersey Zoo. The genome size is 2 568 697 bp and the DNA G+C content of the type strain is 33.24 mol%.

Description of Staphylococcus durrellii sp. nov.

Staphylococcus durrellii (dur.rell’i.i N.L. gen. n. durrellii after the innovative naturalist and conservationist Gerald Durrell who founded Jersey Zoo and played a vital role in the establishment of the captive breeding colony of Livingstone’s bats from which the strain was isolated).

Based on the characterization of one isolate originating from a Livingstone’s fruit bat the cells are Gram-positive cocci occurring singly, in pairs and clusters. After 24 h aerobic growth at 37 ℃ on Columbia agar with 5 % sheep blood the colonies are smooth, shiny, circular, domed, yellow and 1–2 mm in diameter, displaying mucoidy but no haemolysis. The isolate is catalase-positive, clumping-factor negative, coagulase-negative, oxidase-negative, DNase negative, resistant to novobiocin, sensitive to polymyxin B and grew in 10 % NaCl tryptone soy broth. It is positive for pyrrolidonyl arylamidase, β-glucuronidase and alkaline phosphatase reactions. It is negative for urease production, acetoin production by the Vokes–Proskauer reaction, arginine dihydrolase, ornithine decarboxylase, aesculin hydrolysis, nitrate reduction, β-galactosidase, arginine arylamidase and N-acetyl-glucosamine fermentation. Acid production is positive from d-glucose, d-fructose, trehalose and d-mannitol, and negative from maltose, d-mannose, lactose, raffinose, d-ribose, sucrose, turanose, l-arabinose and cellobiose.

The type strain is strain 27_4_6_LYT (NCTC 14454T=DSM 111640T) isolated in 2016 from the oropharynx of a captive Livingstone’s fruit bat in Jersey Zoo. The genome size is 2 633 060 bp and the DNA G+C content of the type strain is 32.51 mol%.

Funding information

K. F. is self-funded, E. J. F. and M. J. G. are funded by MRC project OH-DART (MR/S004769/1). E. J. F. is funded by JPI-AMR project SpARK (MR/R00241X/1). A. L. is an employee at the Royal Veterinary College. This work received no specific grant from any funding agency; however, we thank the European Society of Veterinary Dermatology for funding the project which enabled the initial recovery and identification of the isolates (ESVD 3577).

Acknowledgements

We thank all staff at the Durrell Wildlife Conservation Trust and Amanda Millar at Hurstpierpoint Bat Hospital for assistance with gathering of bacterial isolates. We also thank Lee Durrell for kind permission to name a species after the late Gerald Durrell, and David H. Lloyd for being the inspiration behind this project and for permission to name a species after him.

Conflicts of interest

The authors declare that there are no conflicts of interest.

Ethical statement

The use of animals in this study was approved by the Royal Veterinary College Clinical Research Ethical Review Board (CRERB URN 2015 1332) and by the Durrell Wildlife Conservation Trust.

Footnotes

Abbreviations: ANI, average nucleotide identity; DDH, DNA-DNA hybridisation; GBDP, genome BLAST distance phylogeny; GGD, genome-to-genome distance; MALDI-TOF MS, matrix-assisted laser desorption-ionization time-of-flight mass spectrometry; TYGS, Type Strain Genome Server; WGS, whole genome sequencing.

References

  • 1.Heaton CJ, Gerbig GR, Sensius LD, Patel V, Smith TC. Staphylococcus aureus epidemiology in Wildlife: a systematic review. Antibiotics. 2020;9:89. doi: 10.3390/antibiotics9020089. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Carson M, Meredith AL, Shaw DJ, Giotis ES, Lloyd DH, et al. Foxes as a potential wildlife reservoir for mecA -positive Staphylococci . Vector Borne Zoonotic Dis. 2012;12:583–587. doi: 10.1089/vbz.2011.0825. [DOI] [PubMed] [Google Scholar]
  • 3.Cunha MdeLRS, Sinzato YK, Silveira LVA. Comparison of methods for the identification of coagulase-negative staphylococci . Memórias do Instituto Oswaldo Cruz. 2004;99:855–860. doi: 10.1590/S0074-02762004000800012. [DOI] [PubMed] [Google Scholar]
  • 4.Jolley KA, Bliss CM, Bennett JS, Bratcher HB, Brehony C, et al. Ribosomal multilocus sequence typing: universal characterization of bacteria from domain to strain. Microbiology. 2012;158:1005–1015. doi: 10.1099/mic.0.055459-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Lalucat J, Mulet M, Gomila M, García-Valdés E. Genomics in bacterial taxonomy: impact on the genus Pseudomonas . Genes. 2020;11:139. doi: 10.3390/genes11020139. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Auch AF, von Jan M, Klenk H-P, Göker M. Digital DNA-DNA hybridization for microbial species delineation by means of genome-to-genome sequence comparison. Stand Genomic Sci. 2010;2:117–134. doi: 10.4056/sigs.531120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Meier-Kolthoff JP, Göker M. TYGS is an automated high-throughput platform for state-of-the-art genome-based taxonomy. Nat Commun. 2019;10:2182. doi: 10.1038/s41467-019-10210-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Yoon S-H, Ha S-min, Lim J, Kwon S, Chun J. A large-scale evaluation of algorithms to calculate average nucleotide identity. Antonie van Leeuwenhoek. 2017;110:1281–1286. doi: 10.1007/s10482-017-0844-4. [DOI] [PubMed] [Google Scholar]
  • 9.Naushad S, Barkema HW, Luby C, Condas LAZ, Nobrega DB, et al. Comprehensive phylogenetic analysis of bovine Non-aureus staphylococci species based on whole-genome sequencing. Front Microbiol. 2016;7 doi: 10.3389/fmicb.2016.01990. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Fountain K, Roberts L, Young V, Barbon A, Frosini S-M. Diversity of staphylococcal species cultured from captive Livingstone’s fruit bats (Pteropus livingstonii) and their environment. J Zoo Wildl Med. 2019;50:266–269. doi: 10.1638/2018-0121. [DOI] [PubMed] [Google Scholar]
  • 11.Kozlov AM, Darriba D, Flouri T, Morel B, Stamatakis A. RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference. Bioinformatics. 2019;35:4453–4455. doi: 10.1093/bioinformatics/btz305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.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. doi: 10.1093/bioinformatics/btv421. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Wick RR, Judd LM, Holt KE. Deepbinner: demultiplexing barcoded Oxford nanopore reads with deep convolutional neural networks. PLoS Comput Biol. 2018;14:e1006583. doi: 10.1371/journal.pcbi.1006583. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.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. doi: 10.1371/journal.pcbi.1005595. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics. 2014;30:2068–2069. doi: 10.1093/bioinformatics/btu153. [DOI] [PubMed] [Google Scholar]
  • 16.Antipov D, Hartwick N, Shen M, Raiko M, Lapidus A, et al. plasmidSPAdes: assembling plasmids from whole genome sequencing data. Bioinformatics. 2016;151:btw493–3387. doi: 10.1093/bioinformatics/btw493. [DOI] [PubMed] [Google Scholar]
  • 17.Robertson J, Nash JHE. MOB-suite: software tools for clustering, reconstruction and typing of plasmids from draft assemblies. Microb Genom. 2018;4 doi: 10.1099/mgen.0.000206. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Darling AE, Mau B, Perna NT. progressiveMauve: multiple genome alignment with gene gain, loss and rearrangement. PLoS One. 2010;5:e11147. doi: 10.1371/journal.pone.0011147. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Goris J, Konstantinidis KT, Klappenbach JA, Coenye T, Vandamme P, et al. DNA–DNA hybridization values and their relationship to whole-genome sequence similarities. Int J Syst Evol Microbiol. 2007;57:81–91. doi: 10.1099/ijs.0.64483-0. [DOI] [PubMed] [Google Scholar]
  • 20.Rodriguez-R LM, Konstantinidis KT. Bypassing cultivation to identify bacterial species. Microbe Magazine. 2014;9:111–118. doi: 10.1128/microbe.9.111.1. [DOI] [Google Scholar]
  • 21.Reimer LC, Sarda Carbasse J, Koblitz J, Podstawka A, Overmann J. Staphylococcus kloosii Schleifer, et al. 1985. 2020.

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