Skip to main content
UKPMC Funders Author Manuscripts logoLink to UKPMC Funders Author Manuscripts
. Author manuscript; available in PMC: 2024 Jan 19.
Published in final edited form as: Int J Syst Evol Microbiol. 2023 Oct 1;73(10):10.1099/ijsem.0.006135. doi: 10.1099/ijsem.0.006135

Winogradskyella bathintestinalis sp. nov., isolated from the intestine of the deep-sea loosejaw dragonfish, Malacosteus niger

Shona Uniacke-Lowe 1,2,3, Crystal N Johnson 4, Catherine Stanton 2,3, Colin Hill 1,2, Paul Ross 1,2,*
PMCID: PMC7615552  EMSID: EMS193230  PMID: 37877999

Abstract

A novel bacterial strain, APC 3343T, was isolated from the intestine of a deep-sea loosejaw dragon fish, Malacosteus niger, caught at a depth of 1000 m in the Northwest Atlantic Ocean. Cells were aerobic, rod-shaped, yellow/orange-pigmented, non-motile and Gram-negative. Growth of strain APC 3343T was observed at 4–30°C (optimum, 21–25°C), pH 5.5–10 (optimum, pH 7–8) and 0.5–8 % (w/v) NaCl (optimum, 2–4 %). Phylogenetic analysis based on 16S rRNA gene sequences showed that strain APC 3343T was most closely related to members of the genus Winogradskyella, with the most closely related type strains being Winogradskyella algae Kr9-9T (98.46 % identity), Winogradskyella damuponensis F081-2T (98.07 %), Winogradskyella eximia CECT 7946T (97.93 %), Winogradskyella litoriviva KMM 6491T (97.79 %) and Winogradskyella endarachnes HL2-2T (97.79 %). Major fatty acids (>10 % of total) were iso-C16:0 3-OH, iso-C15:0, anteiso-C15:0 and iso-C17:0 3-OH. The predominant respiratory quinone was menaquinone-6 (MK-6). Polar lipids were phosphatidylethanolamine, three unknown aminolipids and eight unknown lipids. The draft genome sequence was 3.8 Mb in length with a G+C content of 33.43 mol %. Based on the phenotypic characteristics and phylogenetic analysis, strain APC 3343T is deemed to be a novel species of the genus Winogradskyella, and for which the name Winogradskyella bathintestinalis sp. nov. is proposed. The type strain of this species is APC 3343T (=DSM 115832T=NCIMB 15464T).

Keywords: deep sea, fish isolate, gut microbiome, sp. nov., Winogradskyella

Introduction

The genus Winogradskyella was first proposed by Nedashkovskaya et al. [1] as a novel member of the family Flavobacteriaceae and has subsequently been amended several times [24]. Members of the genus Winogradskyella are Gram-stain-negative and produce non-diffusible yellow or orange pigments. They are usually aerobic rod-shaped cells, but facultative anaerobic and coccoid cells have also been found [5, 6]. To date, there are 46 type strains within the genus Winogradskyella (https://lpsn.dsmz.de/genus/winogradskyella).

Winogradskyella species have been isolated from a wide variety of marine habitats such as seawater [7] and sediment [8], mostly in association with algae [1, 4, 9, 10] and marine invertebrates [2, 11, 12]. Culturable strains have also been recovered from the gills of marine fish [13]. Most recently, 16S rRNA gene amplicons belonging to members of the genus Winogradskyella have been detected in human faecal samples, yet no culturable representatives have been isolated [14]. Furthermore, Winogradskyella are of increasing biotechnological interest due to their antibiofilm activity [15, 16], exopolysaccharide production [17], heavy metal resistance [17] and bioremediation potential [18, 19].

There are suggestions that some Winogradskyella species are extremophilic: many characterized isolates are psychrotrophic, capable of growth below 10°C [7, 20] and some strains have been shown to be resistant to freeze–thaw cycles [17]. Winogradskyella gene sequences have been detected in habitats where sub-zero temperatures were recorded [21]; however, growth of Winogradskyella isolates at sub-zero temperatures (under laboratory conditions) has not yet been reported. To date, Winogradskyella ouciana represents the only type strain of this genus to be isolated from a habitat of extreme hydrostatic pressure (seawater from 7500 m deep) [22]. This is significant in that hydrostatic pressure increases by one atmosphere for every 10 m increase in water depth in the ocean [23].

A Winogradskyella strain, designated strain APC 3343T, was previously isolated from the intestine of a deep-sea dragon fish, Malacosteus niger, by our lab group during a study of the antimicrobial potential of deep-sea fish microbiome isolates [24]. Malacosteus niger (a.k.a. Stoplight loosejaw fish) are true deep-sea dwellers and are rarely found above the mesopelagic zone (500 m deep) [25]. They have specific adaptations to survive in their natural habitat such as unusual visual morphology for detecting specific bioluminescent wavelengths in dark waters [26], and a diet that consists predominantly of zooplankton (specifically copepods) but they are also capable of preying on large fish [27]. It has been reported that Flavobacteriales form part of the core gut microbiome of copepods from subtropical Atlantic and Antarctic waters [28, 29] and may accumulate in the copepod gut through feeding on phytoplankton, on which Flavobacteriaceae are abundant [29]. This perhaps also suggests a dietary route for strain APC 3343T to the deep-sea fish gut. Furthermore, Winogradskyella genomic DNA has been identified in faecal metagenome samples from Antarctic copepods [30]. However, it is yet to be determined if Winogradskyella species are core members of the gut microbiome of deep-sea fish.

In this study, we report the taxonomic characterization of strain APC 3343T, a novel member of the genus Winogradskyella.

Methods

Isolate information

Strain APC 3343T was previously isolated from the intestinal tract of a Malacosteus niger fish specimen. The fish was collected by research vessels in surveys in international waters near the Grand Banks of Newfoundland in the north-western Atlantic Ocean (43.282 N 49.121 W) from a depth of approximately 1000 m [31]. Bacterial isolates were recovered from fish intestinal samples, as previously reported [24]. In brief, swabs of the intestinal tract were streaked onto Difco marine agar 2216 (MA) and incubated aerobically for 3 weeks at 4°C. A yellow/orange-pigmented colony was selected and purified through sub-culturing on MA. The strain was deposited into the APC Culture Collection (APC Microbiome Ireland, Teagasc Food Research Centre, Moorepark, Fermoy, Co. Cork, Ireland) and designated strain APC 3343T. Cells were preserved in 35% (v/v) glycerol suspensions at –80°C. Strain APC 3343T was routinely cultured on MA at 20–25°C.

Winogradskyella sp. APC 3343T has been deposited into the National Collection of Industrial, Food and Marine Bacteria (=NCIMB 15464T) and the DSMZ-German Collection of Microorganisms and Cell Cultures GmbH (=DSM 115832T).

Genome sequencing, assembly and annotation

Strain APC 3343T was cultured in Difco marine broth 2216 (MB) for 72 h at 20°C. Genomic DNA (gDNA) extraction, whole-genome sequencing and annotation was carried out as previously described [24]. In brief, the bacterial gDNA was extracted using the GeneJET Genomic DNA Purification Kit (Thermo Scientific). The gDNA was sequenced and assembled by MicrobesNG (https://microbesng.com/, University of Birmingham, UK) using the Illumina platform and SPAdes de novo assembly method, and assembly quality was checked using quast. The assembled contigs were submitted to GenBank and annotated upon submission using NCBI’s Prokaryotic Annotation Pipeline. Additionally, gene annotations were made with rast and subsystem features determined using seed [3234]. The presence of secondary metabolite and bacteriocin biosynthetic gene clusters (BGCs) was queried using antiSMASH and bagel4, respectively, as previously reported [24].

16S rRNA gene phylogeny

The complete 16S rRNA gene sequence (1522 bp) was extracted from the whole genome sequence data using barrnap (version 0.9, https://github.com/tseemann/barrnap). The 16S sequence was queried using the EzTaxon-e server in the EzBioCloud service [35]. fasta files of the hit sequences were downloaded and imported into mega X [36]. Multiple alignments with the query sequence were created using muscle [37] within mega X. Gaps from the 5′ and 3′ ends were removed manually, and the partial gap deletion (95% site coverage) parameter was applied. Phylogenetic trees (neighbour-joining, maximum-likelihood and maximum-parsimony) were created in mega X and inferred using the Kimura two-parameter method [38]. Tree robustness was guaranteed by bootstrap analyses based on 1000 replicates [39]. The tree was rooted by including a sequence from the family Flavobacteriaceae as an outlier; namely, the 16S rRNA gene sequence from Marixanthomonas spongiae Hn-E44 (NR 179850.1).

Genome phylogeny

For the following pairwise average nucleotide identity (ANI) and roary analyses, all available Winogradskyella reference genome assemblies (including type strains, n=31) were downloaded from the GenBank database (www.ncbi.nlm.nih.gov/data-hub/genome/). Prior to analysis using roary, the assemblies were annotated using prokka [40] to obtain the GFF3 files. The genomes of W. algae and W. damuponensis have not yet been included in the Type (Strain) Genome Server (TYGS) database nor in GenBank, and we were not able to acquire these type strains for this study.

ANI values were calculated between APC 3343T and the Winogradskyella reference genome assemblies. Pairwise ANI values were calculated with Pyani (version 0.2.12 [41]) using the ANIm method [42]. The DSMZ TYGS annotation platform (https://tygs.dsmz.de/) [43] was used to calculate digital DNA–DNA hybridization (dDDH) values between APC 3343T and related type strains from the database. roary [44] was used to determine and create alignments of the core genes of APC 3343T and the Winogradskyella reference genomes. The genomic assembly from Marixanthomonas spongiae Hn-E44 (GCA003095375.1) was also annotated and included as an outlier (roary parameters: 90% blast ID, 99% of isolates that must have gene, 100000 cluster limit). RaxML [45] was used to generate a maximum-likelihood phylogenetic tree from the core gene alignment, which was then visualized in mega X.

Biochemical and phenotypic characterization

The following tests were performed on strain APC 3343T and, unless stated otherwise, were carried out at 25°C under aerobic conditions. Growth at different temperatures was tested at 4, 9, 21, 25, 30, 37, 40 and 44°C on MA. NaCl range for growth was tested by measuring the optical density at OD600nm in MB with the NaCl concentration adjusted within the range 0–16% w/v (in increments of 1% from 0–10% NaCl, and in increments of 2% from 12–16% NaCl). The pH range for growth was tested in MB from pH 5 to 11 (in increments of 0.5 from pH 5–9 and increments of 1 from pH 9–11). The pH was adjusted by the addition of 1 M HCl and/or 1 M NaOH.

Anaerobic growth was assessed on MA incubated in an AnaeroGen anaerobic system (Thermo Scientific Oxoid) for up to 14 days at 21°C. Colony morphology was assessed after incubating on MA at 25°C for 3 days. Cells were examined using phase contrast microscopy and scanning electron microscopy (SEM). SEM imaging was carried out by UCD Conway Imaging Core (UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Ireland). Gram staining was carried out according to standard methods. Production of oxidase was tested using oxidase strips (Millipore) according to manufacturer’s instructions. Production of catalase was tested by transferring a mass of colonies onto a glass slide and exposing them to 1–2 drops of 3% hydrogen peroxide and observing for effervescence. Observation for motility was carried out using the hanging drop method according to the method outlined by Bernardet et al. [46] except that a cavity microscope slide was used. The presence of flexirubin-type pigments was tested using the KOH method as described by Bernardet et al. [46].

Artificial seawater (ASW) salts base used in the subsequent tests was prepared, as per Kurilenko et al. [9] and Bruns et al. [47], as follows: 30 g l−1 NaCl, 5.94 g l−1 MgSO4·7H2O, 4.53 g l−1 MgCl2·6H2O, 0.64 g l−1 KCl and 1.3 g l−1 CaCl2·2H2O. Hydrolysis of DNA was determined by plating on DNase Test Agar (Thermo Scientific) supplemented with ASW salts; following incubation, the DNase plates were flooded with 1M HCl and observed for zones of clearance around colonies. Hydrolysis of casein was tested on agar-medium (1.5% agar) containing ASW salts supplemented with 10% skimmed milk powder. Hydrolysis of cellulose was tested on agar medium containing ASW salts supplemented with 2 g l−1 cellulose and 5 g l−1 peptone; following incubation, the plate was then stained with 1% Congo red, washed with 1 M NaCl and observed for zones of clearance around colonies. Assimilation of Tween 80 and starch was tested by plating on ASW-based medium containing ASW salts, 5 g l−1 peptone, 1g l−1 yeast extract, 0.1 g l−1 K2HPO4, 15 g l−1 agar and 1% v/v Tween 80 or 0.2% w/v starch. Production of hydrogen sulphide was determined using Watman lead acetate strips (Sigma-Aldrich) suspended above an inoculum of the strain in MB for up to 7 days.

Remaining biochemical tests were carried out using the API 20E and API 20NE kits (bioMérieux) incubated at 25°C for up to 5 days, the API ZYM kits, incubated at 25°C for 18 h; and the GEN III MicroPlate (Biolog) incubated at 25°C for up to 7 days. Results were recorded every day. Bacterial suspensions were prepared in ASW (3% NaCl) for the API test kits. For the GEN III MicroPlate, protocol B was used with inoculating fluid B (IFB) supplemented with 2% NaCl. Due to the mucoid nature of strain APC 3343T, the inoculum for the IFB was prepared from broth culture. In brief, an overnight culture of strain 3343T was resuspended and washed in PBS. The PBS cell suspension was then used to inoculate the IFB to the correct cell density.

Analyses of cellular fatty acids, polar lipids and respiratory quinones were carried out by DSMZ (Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures GmbH, Braunschweig, Germany). For fatty acid and polar lipid analyses, strain APC 3343T was cultivated in MA at 25°C. Cellular fatty acids were determined using the Sherlock MIS (midi) system (version 6.1, TSBA40 method, TSBA6 calculation).

Susceptibility to antibiotics was determined using the disc-diffusion method on MA with commercial antibiotics discs (Oxoid) with the following antibiotics: ampicillin (10 μg), chloramphenicol (30 μg) erythromycin (15 μg), gentamicin (10 μg), kanamycin (30 μg), lincomycin (15 μg), neomycin (30 μg), novobiocin (5 μg), oleandomycin (15 μg), penicillin G (10 U), polymyxin B (300 U), rifampcin (30 μg), streptomycin (10 μg) and tetracycline (30 μg). Zone diameters were measured after 36 h at 25°C (aerobic). Due to the lack of CLSI guidelines for interpretation criteria for the genus Winogradskyella, antibiotic susceptibility and resistance was interpreted as no growth or growth, respectively, in accordance with previous species descriptions of taxonomic neighbours [9, 20].

Results

Genomic features and characterization

The draft genome assembly of strain APC 3343T was 3832957 bp long with a G+C content of 33.43%. The draft assembly consisted of 53 contigs. An overview of the general characteristics of the draft genome of strain APC 3343T is given in Table 1. An overview of the rast annotation of subsytem features is given in Fig. 1. In total, 978 subsytem features were identified across 25 categories. The largest subsystem category was ‘amino acids and derivatives’ for which 197 features were identified, representing 20% of the overall features. The second largest category was ‘cofactors, vitamins, prosthetic groups and pigments’ for which 130 (13%) features were identified; this category included genes associated with riboflavin metabolism and Vitamin B biosynthesis. Some other interesting subsystems in this strain identified by rast included heavy metal resistance (copper homeostasis, five features; cobalt–zinc–cadmium resistance, four; resistance to fluoroquinolones, two) and stress response (including cold shock, one; oxidative stress, nine). Among the secondary metabolism features were genes associated with plant alkaloid synthesis and auxin biosynthesis. No features associated with motility were identified, which is in agreement with the phenotypic motility test results. It was also noted that more features were dedicated to protein metabolism (103) than carbohydrate metabolism (92).

Table 1. General characteristics of the draft genome of strain APC 3343T.

Genomic feature
Draft genome size (bp) 3832957
G+C content (mol%) 33.43
N50 1042040
L50 2
Number of contigs 53
Largest contig 1191771
CDS 3371
RNA genes (rast) 37
   rRNA genes (rast) 1
   rRNA genes (barrnap) 6
   tRNA genes (rast) 36
AMR genes (ABRicate) 0

Fig. 1.

Fig. 1

Overview of rast annotation of subsystem features from the draft genome of APC 3343T. The counts of features per subsystem category are given. The total number of subsystem features was 978.

Secondary metabolite BGC and bacteriocin gene screening

Four secondary metabolite BGCs were identified using antiSMASH: two terpenes, one type-3 polyketide synthase (T3PKS) and one hybrid non-ribosomal peptide synthetase (NRPS) – type-1 polyketide synthase (T1PKS). One of the terpene BGCs was most similar to that of carotenoid, at 28% similarity. The T3PKS shared 8% similairity to a beta-lactam BGC in the database from an uncultured organism. The remaining BGCs of APC 3343T had no identifiable cluster hit within the antiSMASH database. bagel4 identified one sactipeptide BGC, though it lacked a core sactipeptide gene. One of the genes in the cluster shared 41.4% similarity to moaA, a gene encoding the radical S-adenosyl-L-methionine (SAM) family protein GTP-3′,8-cyclase (Uniprot B7ULX8). An overview of the antiSMASH and bagel4 screening results is given in Table S1.

16S rRNA phylogenetic analysis

The 16S rRNA gene sequence similarity analysis indicated that APC 3343T was most closely related to members of the genus Winogradskyella within the family Flavobacteriaceae. The APC 3343T sequence showed the highest similarity to that of Winogradskyella algae Kr9-9T [9] (98.46% similarity), followed by Winogradskyella damuponensis F081-2T [20] (98.07%), Winogradskyella eximia CECT 7946T (=KMM 3944T) [1] (97.93%), Winogradskyella litoriviva KMM 6491T [7] (97.79%) and Winogradskyella endarachnes HL2-2T [10] (97.79%). These closely related strains were selected to be used as reference strains for the comparative phenotypic, biochemical and chemotaxonomic analyses. The 16S rRNA sequence similarity values between APC 3343T and the reference strains are below the currently accepted threshold of 98.7% for species [48], indicating that strain 3343T represents a separate species of the genus Winogradskyella. In the maximum-likelihood (Fig. 2) and neighbour-joining (Fig. S1, available in the online version of this article) phylogenetic trees, generated from the 16S rRNA gene sequence alignments, APC 3343T placed closely to Winogradskyella algae Kr9-9T. In the maximum-parsimony phylogenetic tree APC 3343T formed its own clade (Fig. S2).

Fig. 2.

Fig. 2

Maximum-likelihood tree based on 16S rRNA gene sequences showing the relationship of strain ACP 3343T and other members of the genus Winogradskyella and related taxa. Distances were calculated based on the Kimura two-parameter model. Bootstrap values as% based on 1000 replications (>50%) are shown beside each branch node. Bar, 0·01 substitution per nucleotide position.

Genome phylogenetic analysis

The ANI values between APC 3343T and the available Winogradskyella type strain reference genomes ranged from 83.69 to 85.03% (Fig. 3). The ANI alignment coverage ranged from 1 to 28% (data not shown). An overview of the dDDH values and G+C content difference between APC 3343T and the top TYGS database hits are given in Table S2. The dDDH (d4) values between APC 3343T and W. eximia, W. litoriviva and W. endarachnes were 23.4, 22.6 and 21.5%, respectively. ANI and dDDH values of 95–96 and 70%, respectively, are considered the general cut-off for species and should be assessed as part of the overall genome related index when the 16S rRNA gene sequence identity values are ≥98.7% [48]. The ANI and dDDH values in this study indicate that strain APC 3343T represents a separate species among these Winogradskyella reference genomes. roary was used also to assess phylogeny based on the alignment of 33 core genes from strain APC 3343T, the reference Winogradskyella genomes and the outlier, Marixanthomonas spongiae Hn-E44. The maximum-likelihood phylogenetic tree generated from this core gene alignment is shown in Fig. S3.

Fig. 3.

Fig. 3

Pairwise average nucleotide identity (ANI) of APC 3343T and all available Winogradskyella type strain reference genomes from the GenBank database. ANI values were calculated using Pyani using the ANIm method. Blue cells correspond to an ANI of <95%, indicating separate species. Red cells correspond to an ANI of >95%, indicating the same species. The colour intensities lighten as the ANI value approaches 95%. The dendrograms are created by hierarchal clustering of the pairwise ANI values.

Biochemical and phenotypic characterization

Strain APC 3343T was found to be aerobic, Gram-stain-negative and non-motile. Colonies were circular, smooth and convex, measuring 0.8–1.2 mm after incubating on MA at 25°C for 3 days (Fig. 4). Colonies produced a pale yellow, non-flexirubin-type pigment and intensified in colour with prolonged incubation time, resulting in colonies turning progressively orange in colour. Cells were rod-shaped (1–1.5 μm x 0.3 μm) without flagella (Fig. 5). SEM images of clustering cells revealed the presence of network-like structures on the cell surface of strain APC 3343T (Fig. 5b). Similar structures have been described for W. thalassocola KMM 3907T, W. epiphytica KMM 3906T and W. eximia KMM 3944T, but are not present on other Winogradskyella species such as W. haliclonae [49]. Such structures are believed to be an adaptation for cellular attachment and aggregate formation [1].

Fig. 4.

Fig. 4

Colonies of strain APC 3343T (after 3 days on MA at 25°C).

Fig. 5.

Fig. 5

Scanning electron microscopy image of APC 3343T at ×400K (a) and ×140K (b).

Differential characteristics between APC 3343T and the reference Winogradskyella strains (Winogradskyella algae Kr9-9T [9], Winogradskyella damuponensis F081-2T [20], Winogradskyella eximia KMM 3944T [1, 4], Winogradskyella litoriviva KMM 6491T [7] and Winogradskyella endarachnes HL2-2T [10]) are provided in Table 2. All data for strain APC 3343T is from this study. The phenotypic and biochemical data for the reference strains was acquired from the respective literature. In the phenotypic assays, APC 3343T shared a number of characteristics that are in accordance with Winogradskyella species [1], such as a requirement for NaCl, alkaline phosphatase, oxidase and catalase and gelatin degradation activities, except strain APC 3343T did not degrade DNA. The temperature range for growth of strain APC 3343T, of 4–30°C (optimum 21–25°C), was lower than those of the reference Winogradskyella strains [1, 4, 7, 8, 11, 20]. The NaCl range for growth of strain APC 3343T, at 0.5–8% (optimum, 2–4%), was wider than those of the reference strains, though almost identical to that of W. litoriviva KMM 6491T (0.5–7% NaCl) [7]. The pH range for growth of strain APC 3343T was pH 5.5–10 (optimum, pH 7–8), equal to that of W. algae Kr9-9T [9] and W. litorviva KMM 6491T [7]. The main differences observed between strain APC 3343T and the reference strains in the phenotypic assays were in its ability to produce, albeit weakly, lipase and β-glucosidase. Strain APC 3343T also uniquely showed some β-galactosidase activity with paranitrophenyl-β-d-galactopyranoside as the substrate (API 20NE PNPG assay).

Table 2. Differential characteristics of isolate APC 3343T and closely related Winogradskyella type strains.

Strains: 1, APC 3343T (data from this study); 2, W. algae Kr9-9T (data from Kurilenko et al. [9]); 3, W. damuponensis F081-2T (data from Lee et al. [20]); 4, W. eximia KMM 3944T (data from Nedashkovskaya et al. [1] and Nedashkovskaya et al. [4]); 5, W. litoriviva KMM 6491T (data from Nedashkovskaya et al. [7]); 6, W. endarachnes HL2-2T (data from Xu et al. [10]). nd, No data available; +, positive; –, negative; w, weakly positive.

Characteristic 1 2 3 4 5 6
Growth at/with:
   37°C +
   Temperature range (°C) 4–30 7–36 4–35 4–35 4–34 20–40
   Temperature optimum (°C) 21–25 28–30 25–30 21–23 25–28 30
   NaCl range (%, w/v) 0.5–8 2–6 1–5 1–8 0.5–7 0–5
   pH range 5.5–10 5.5–10.0 6.0–9.5 ND 5.5–10 5.5–8
Nitrate reduction + nd
Glucose fermentation + +
H2S production w w w nd
Hydrolysis:
   Aesculin + + + + + nd
   Casein + nd
   DNA + nd
   Starch w + + + nd
Assimilation of:
   Cellobiose w nd + + +
   d-Galactose + nd + + nd
   d-Glucose + + + +
   d-Mannose + + + +
   Mannitol + + +
Enzyme activity (API ZYM):
   Esterase + + + + w +
   Esterase lipase + + + + + +
   Lipase (C14) w +
   Leucine arylamidase + + + + +
   Valine arylamidase + + + + + +
   Cystine arylamidase + w + + +
   Trypsin +
   α-Chymotrypsin + + +
   α-Galactosidase +
   α-Glucosidase w + +
   β-Glucosidase w
Susceptibility to antibiotics:
   Ampicillin + + + +
   Chloramphenicol + + + + + +
   Erythromycin + + + + +
   Gentamicin +
   Kanamycin +
   Lincomycin + + + + +
   Neomycin +
   Leandomycin + + + + nd
   Penicillin G + + + + nd
   Polymyxin B +
   Rifampcin + + + + + nd
   Streptomycin +
   Tetracycline + + nd + +

It is to be noted that the Biolog GEN III plate results were difficult to interpret due to apparent weak metabolic activity by strain APC 3343T. This is possibly an indication of the fastidious nature of this strain or an inability to grow on a single carbon source. A second assay using the GEN III MicroPlates and protocol C2 with inoculating fluid C (for fastidious organisms) was also carried out; however, some colour production (oxidation) was observed in the negative control well and therefore these results were not used. From the API ZYM assay results, APC 3343T was positive for alkaline phosphatase, esterase, esterase lipase, leucine arylamidase, valine arylamidase, cystine arylamidase, acid phosphatase and naphthol-AS-BI-phosphohydrolase activity, weakly positive for lipase (C14), α-glucosidase and β-glucosidase activity, and negative for trypsin, α-chymotrypsin, α-galactosidase, β-galactosidase (2-naphthyl-β-d-galactopyranoside as substrate), β-glucuronidase, N-acetyl-β-glucosaminidase, mannosidase and fucosidase activity.

The predominant (>10% of total) cellular fatty acids of strain APC 3343T were iso-C16:0 3-OH (13.3%), iso-C15:0 (13.1%), anteiso-C15:0 (11.9%) and iso-C17:0 3-OH (10.6%). The full list of identified cellular fatty acids in this strain and those of the reference strains are provided in Table 3. APC 3343T contained a unique fatty acid profile compared to the reference strains, particularly with regard to the hydroxy and saturated fatty acids and summed features [4, 7, 8, 11, 20]. Unusually, a trace amount (<1%) of an unknown fatty acid of an estimated carbon length of 13.6 was identified in strain APC 3343T. The sole respiratory quinone was menaquinone 6 (MK6), in accordance with members of the genus Winogradskyella [1]. The cellular polar lipid profile of APC 3343T consisted of phosphatidylethanolamine, three unknown aminolipids and eight unknown lipids (Fig. S4) and, when compared to the reference strains, was most similar to that of W. algae Kr9-9T [9] except that APC 3343T contained a higher number of unknown/unidentified lipids (Table S3).

Table 3. Cellular fatty acid compositions (%) of APC 3343T and closely related type strain members of the genus Winogradskyella.

Strains: 1, APC 3343T (data from this study); 2, W. algae Kr9-9T [9]; 3, W. damuponensis F081-2T [20]; 4, W. eximia KMM 3944T [1]; 5, W. litoriviva KMM 6491T [7]; 6, W. endarachnes HL2-2T [10]. Major fatty acids (>10%) are highlighted in bold. Fatty acids amounting <1.0% for all reference strains are not shown. TR, Trace amount (<1%); −, not detected. ECL, estimated carbon length.

Fatty acid 1* 2 3* 4 5 6
Saturated:
   C15:0 tr 8.3 5.3 7.9 6.4
   C16:0 1.8 tr tr 19.6
   C17:0 cyclo 2.3
   C18:0 2.1
Unsaturated:
   C15:1 2.7
   C15:1 ω6c 2.8 1.9 1.4
   C15:1 ω8c 1.7
   C16:1 3.2
   C17:1 ω6c 2.8 1.1
   C18:1 ω5c 2.5
Branched chain:
   iso-C12:0 1.3
   ios-C13:0 1.3
   ios-C14:0 1.4 1.3 1.3 1.4 tr
   ios-C15:0 13.1 14.4 25.3 25.6 19.4 37.0
   ios-C15:1 9.9 11.4 15.5
   ios-C15:1 G 9.0 14.6 8.9
   ios-C16:0 2.2 2.7 1.9 5.7 tr
   ios-C16:1 1.8 4.7
   ios-C16:1 H 4.3 2.2
   anteiso-C15:0 11.9 12.7 7.8 4.9 9.5 4.1
   anteiso-C15:1 1.6 4.8
   anteiso-C15:1 A 4.4 3.4 3.9
   anteiso-C17:1 2.3
   anteiso-C17:1 ω9c 2.6
Hydroxy:
   C15:0 2-OH 3.0 2.0 1.0 tr
   C15:0 3-OH 1.2 tr
   C16:0 3-OH 1.5 tr tr
   C17:0 2-OH 5.2 2.6 1.0 tr
   C18:0 2-OH 1.0
   iso-C15:0 2-OH 1.4 1.9
   iso-C15:0 3-OH 4.7 3.6 7.6 2.6 9.6 7.8
   iso-C16:0. 2-OH 1.2
   iso-C16:0 3-OH 13.3 12.9 6.7 3.2 4.6 1.6
   iso-C17:0 3-OH 10.6 7.4 9.3 6.7 8.4 8.1
   anteiso-C15:0 2-OH 1.7
   anteiso-C15:0 3-OH 2.5
   anteiso-C17:0 3-OH 4.5 4.7
Methylated:
   C16:0 10 methyl 6.3
Other:
   C16:1 ω7, iso-C15:0 2-OH 6.1 5.8
   Unknown tr (ECL 13.6) 5.6
   Summed feature 3 7.0 (C16:1 ω7c / C16:1 ω6c) 2.0 (C16:1 ω6c and/or C16:1 ω7c)
   Summed feature 9 1.8 (iso-C17:1 ω9c) 2.4 (C10-methyl and/or iso-C17:1 ω9c) tr (iso-C17:1 ω9c/10-methyl-C16:0)
*

Analysis carried out at 25°C.

Analysis carried out at 28°C.

Analysis carried out at 30°C.

Strain APC 3343T was susceptible to ampicillin (10 μg), chloramphenicol (30 μg), erythromycin (15 μg), lincomycin (15 μg), novobiocin (5 μg), oleandomycin (15 μg), penicillin G (10 U), rifampcin (30 μg) and tetracycline (30 μg); and resistant to gentamicin (10 μg), kanamycin (30 μg), neomycin (30 μg), polymyxin B (300 U) and streptomycin (10 μg). The antibiotic susceptibility profile of strain 3343T, including the zone diameter measurements, is given in Table S4. Antibiotic susceptibility and resistance were interpreted as no growth or growth, respectively, in accordance with previous species descriptions of taxonomic neighbours [9, 20] and due to the lack of CLSI guidelines for interpretation criteria for the genus Winogradskyella. It was also noted that members of the Winogradskyella genus lack standardized protocols for growth conditions from which phenotypic information has been described, such as the use of MA rather than Mueller–Hinton, and variable growth temperatures among species representatives ranging from 28°C for W. algae and 25°C for W. damuponensis, rather than the recommended incubation temperature of 18°C for psychrophilic Flavobacteriaceae [20]. Only three species within this genus (W. lutea [3], W. flava [50] and W. damuponensis [20]) were reported following CLSI guidelines, with none detailing the break-point values used to assign resistance/susceptibility, and only one (W. maritima) stating interpretations were performed according to the CLSI criteria for the family Enterobacteriaceae [51]. This divergence in antimicrobial susceptibility testing highlights a deficiency in the standardization within this group, however, we have reported our results in line with the existing literature.

Strain APC 3343T clearly differed from the most closely related strain, W. algae Kr9-9T [9], in its inability to reduce nitrate or hydrolyse cellulose, lack of α-chymotrypsin activity and its sensitivity to ampicillin, erythromycin, lincomycin and tetracycline (as well as in the above-mentioned range for growth parameters). These assays may be useful in differentiating these two strains.

Based on the combination of phylogenetic distance, phenotypic and biochemical characteristics, strain APC 3343T represents a novel species for which we propose the name Winogradskyella bathintestinalis sp. nov.

Description of Winogradskyella Bathintestinalis Sp. Nov

Winogradskyella bathintestinalis (bath.in.tes.ti.na’lis. Gr. masc. adj. bathys, deep; N.L. masc. adj. intestinalis, pertaining to the intestine; N.L. fem. adj. bathintestinalis, of the deep intestine).

Cells are Gram-stain-negative, rod-shaped (1–1.5×0.3 μm), aerobic, non-motile and non-flagellated. Colonies are pale yellow/orange-pigmented, raised, circular, shiny/mucoid with smooth margins after incubation on MA at 25°C for 3 days. Cell-associated filaments are produced. Pigments are non-flexirubin-type. Growth occurs at 4–30°C (optimum, 21–25°C), 0.5–8% (w/v) NaCl (optimum, 2–4%) and pH 5.5–10 (optimum, pH 7–8). Positive for oxidase and catalase activity. H2S is weakly produced under aerobic conditions. Positive for hydrolysis of Tween 80, weakly positive for hydrolysis of starch. Agar, casein, cellulose and DNA are not hydrolysed. From the API 20E assay results: positive for gelatinase and weakly positive for tryptophan deaminase activity; negative for activity of β-galactosidase (OPNG assay), arginine dihydrolase (anaerobic), lysine decarboxylase (anaerobic), ornithine decarboxylase (anaerobic) and urease (anaerobic); negative for citrate utilization and H2S production (anaerobic) and negative for acid production from d-glucose, d-mannitol, inositol, d-sorbitol, l-rhamnose, sucrose, melibiose amygdalin and l-arabinose. From the API 20NE assay results: positive for hydrolysis of gelatin and aesculin; weakly positive for activity of β-galactosidase (PNPG assay); negative for nitrate reduction, indole production, fermentation of glucose, arginine dihydrolase activity (anaerobic) and urease production (anaerobic), and negative for assimilation of d-glucose, l-arabinose, d-mannose, d-mannitol, N-acetyl-glucosamine, maltose, potassium gluconate, capric acid, adipic acid, malic acid, trisodium citrate and phenylacetic acid. From the Biolog GENIII assay: positive for oxidation of trehalose, sucrose, stachyose, melibiose, N-acetyl-β-d-mannosamine, N-acetyl-d-galactosamine, N-acetyl neuraminic acid, l-fucose, l-glutamic acid, acetoacetic acid and acetic acid; weakly positive for oxidation of maltose, cellobiose, gentobiose, turanose, lactose, α-d-glucose, d-mannose, d-fructose, d-galactose, d-fucose, l-rhamnose, sorbitol, d-mannitol, d-arabitol, myo-inositol, glycyl-l-proline, glucuronamide, mucic acid and α-keto-glutaric acid; negative for the remaining 40 substrates. The sole cellular respiratory quinone is menaquinone-6 (MK6). The cellular polar lipids are phosphatidylethanolamine, three unknown aminolipids and eight unknown lipids. The major cellular fatty acids are iso-C16:0 3-OH, iso-C15:0, anteiso-C15:0 and iso-C17:0 3-OH.

The type strain, APC 3343T (=DSM 115832T=NCIMB 15464T), was isolated from the intestinal tract of a deep-sea fish, Malacosteus niger, from a depth of approximately 1000 m in the Northwest Atlantic Ocean (43.282 N 49.121 W). The DNA G+C content of the type strain is 33.43 mol%.

The GenBank accession numbers for the 16S rRNA gene sequence and the genome sequence of strain APC 3343T are OP920974 and JASDDK000000000, respectively.

Supplementary Material

Supplementary information

Acknowledgements

The authors would like to thank N. Stephens and staff at the Conway Institute of Biomolecular and Biomedical Research (University College Dublin) for carrying out the SEM imaging, and A. Oren of the Alexander Silberman Institute of Life Sciences (The Hebrew University of Jerusalem) for assistance with nomenclature.

Funding information

This work was co-funded by a Teagasc Walsh Fellowship (grant number 2017218), Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2273_P2 and the European Union (ERC, BACtheWINNER, 101054719). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them

Abbreviations

ANI

average nucleotide identity

ASW

artificial seawater

BGC

biosynthetic gene cluster

dDDH

digital DNA–DNA hybridization

IFB

inoculating fluid B

MA

marine agar

MB

marine broth

ONPG

orthonitrophenyl-β-d-galactopyranoside

PNPG

paranitrophenyl-β-d-galactopyranoside

Footnotes

Conflicts of interest

The authors declare that there are no conflicts of interest.

Ethical statement

No animal testing was performed during this study. The fish specimens were collected as part of a NAFO groundfish bottom trawl survey carried out in international waters by research staff from the Instituto Español de Oceanografía (IEO). The fish were not sacrificed for this study. Fish necropsy was performed on site, and intestinal contents were stored frozen until the vessel returned to Cork. Intestinal contents were subsequently extracted for metagenomic profiling [31] and cultured for species isolation [24]. Bacterial isolates were submitted to the APC Culture Collection (APC Microbiome Ireland, Cork, Ireland). The isolates in this study were acquired from the APC Culture Collection.

References

  • 1.Nedashkovskaya OI, Kim SB, Suzuki M, Shevchenko LS, Lee MS, et al. Winogradskyella thalassocola gen. nov., sp. nov., Winogradskyella epiphytica sp. nov. and Winogradskyella eximia sp. nov., marine bacteria of the family Flavobacteriaceae. Int J Syst Evol Microbiol. 2005;55:2583–2588. doi: 10.1099/ijs.0.63307-0. [DOI] [PubMed] [Google Scholar]
  • 2.Ivanova EP, Christen R, Gorshkova NM, Zhukova NV, Kurilenko VV, et al. Winogradskyella exilis sp. nov., isolated from the starfish Stellaster equestris and emended description of the genus Winogradskyella. Int J Syst Evol Microbiol. 2010;60:1577–1580. doi: 10.1099/ijs.0.012476-0. [DOI] [PubMed] [Google Scholar]
  • 3.Yoon B-J, Byun H-D, Kim J-Y, Lee D-H, Kahng H-Y, et al. Winogradskyella lutea sp. nov., isolated from seawater, and emended description of the genus Winogradskyella. Int J Syst Evol Microbiol. 2011;61:1539–1543. doi: 10.1099/ijs.0.025528-0. [DOI] [PubMed] [Google Scholar]
  • 4.Nedashkovskaya OI, Kukhlevskiy AD, Zhukova NV. Winograd-skyella ulvae sp. nov., an epiphyte of a Pacific seaweed, and emended descriptions of the genus Winogradskyella and Winogradskyella thalassocola, Winogradskyella echinorum Winograd-skyella exilis and Winogradskyella eximia. Int J Syst Evol Microbiol. 2012;62:1450–1456. doi: 10.1099/ijs.0.032219-0. [DOI] [PubMed] [Google Scholar]
  • 5.Begum Z, Srinivas TNR, Manasa P, Sailaja B, Sunil B, et al. Winogradskyella psychrotolerans sp. nov., a marine bacterium of the family Flavobacteriaceae isolated from Arctic sediment. Int J Syst Evol Microbiol. 2013;63:1646–1652. doi: 10.1099/ijs.0.044669-0. [DOI] [PubMed] [Google Scholar]
  • 6.Alejandre-Colomo C. Taxonomic study of nine new Winogradskyella species occurring in the shallow waters of Helgoland Roads, North Sea. Proposal of Winogradskyella schleiferi sp. nov., Winogradskyella costae sp. nov., Winogradskyella helgolandensis sp. nov., Winogradskyella vidalii sp. nov., Winogradskyella forsetii sp. nov., Winogradskyella ludwigii sp. nov., Winogradskyella ursingii sp. nov., Winogradskyella wichelsiae sp. nov., and candidatus “Winogradskyella atlantica” sp. nov. Syst Appl Microbiol. 2020;43 doi: 10.1016/j.syapm.2020.126128. [DOI] [PubMed] [Google Scholar]
  • 7.Nedashkovskaya OI, Kukhlevskiy AD, Zhukova NV, Kim S-J, Rhee S-K, et al. Winogradskyella litoriviva sp. nov., isolated from coastal seawater. Int J Syst Evol Microbiol. 2015;65:3652–3657. doi: 10.1099/ijsem.0.000470. [DOI] [PubMed] [Google Scholar]
  • 8.Wang C, Han J-R, Liu C-L, Du Z-J. Winogradskyella tangerina sp. nov., a member of the Flavobacteriaceae isolated from coastal sediment. Int J Syst Evol Microbiol. 2018;68:2832–2837. doi: 10.1099/ijsem.0.002908. [DOI] [PubMed] [Google Scholar]
  • 9.Kurilenko VV, Romanenko LA, Isaeva MP, Svetashev VI, Mikhailov VV. Winogradskyella algae sp. nov., a marine bacterium isolated from the brown alga. Antonie van Leeuwenhoek. 2019;112:731–739. doi: 10.1007/s10482-018-1207-5. [DOI] [PubMed] [Google Scholar]
  • 10.Xu Y, Li J, Hu Y, Li H, Peng T, et al. Winogradskyella endarachnes sp. nov., a marine bacterium isolated from the brown alga Endarachne binghamiae. Int J Syst Evol Microbiol. 2020;71:1. doi: 10.1099/ijsem.0.004577. [DOI] [PubMed] [Google Scholar]
  • 11.Park S, Park JM, Won SM, Yoon JH. Winogradskyella crassostreae sp. nov., isolated from an oyster Crassostrea gigas. Int J Syst Evol Microbiol. 2015;65:2890–2895. doi: 10.1099/ijs.0.000350. [DOI] [PubMed] [Google Scholar]
  • 12.Franco A, Busse H-J, Schubert P, Wilke T, Kämpfer P, et al. Winogradskyella pocilloporae sp. nov. isolated from healthy tissue of the coral Pocillopora damicornis. Int J Syst Evol Microbiol. 2018;68:1689–1696. doi: 10.1099/ijsem.0.002731. [DOI] [PubMed] [Google Scholar]
  • 13.Valdenegro-Vega V, Naeem S, Carson J, Bowman JP, Tejedor del Real JL, et al. Culturable microbiota of ranched southern bluefin tuna (Thunnus maccoyii Castelnau) J Appl Microbiol. 2013;115:923–932. doi: 10.1111/jam.12286. [DOI] [PubMed] [Google Scholar]
  • 14.Magzal F, Shochat T, Haimov I, Tamir S, Asraf K, et al. Increased physical activity improves gut microbiota composition and reduces short-chain fatty acid concentrations in older adults with insomnia. Sci Rep. 2022;12:2265. doi: 10.1038/s41598-022-05099-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Rizzo C, Zammuto V, Lo Giudice A, Rizzo MG, Spanò A, et al. Antibiofilm activity of antarctic sponge-associated bacteria against Pseudomonas aeruginosa and Staphylococcus aureus. JMSE. 2021;9:243. [Google Scholar]
  • 16.Dash S, Jin C, Lee OO, Xu Y, Qian P-Y. Antibacterial and antilarval-settlement potential and metabolite profiles of novel sponge-associated marine bacteria. J Ind Microbiol Biotechnol. 2009;36:1047–1056. doi: 10.1007/s10295-009-0588-x. [DOI] [PubMed] [Google Scholar]
  • 17.Caruso C, Rizzo C, Mangano S, Poli A, Di Donato P, et al. Production and biotechnological potential of extracellular polymeric substances from sponge-associated antarctic bacteria. Appl Environ Microbiol. 2018;84:e01624–17. doi: 10.1128/AEM.01624-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Wang W, Zhang R, Shan D, Shao Z. Indigenous oil-degrading bacteria in crude oil-contaminated seawater of the Yellow sea, China. Appl Microbiol Biotechnol. 2014;98:7253–7269. doi: 10.1007/s00253-014-5817-1. [DOI] [PubMed] [Google Scholar]
  • 19.Pira H, Risdian C, Müsken M, Schupp PJ, Wink J. Winogradskyella luteola sp.nov., Erythrobacter ani sp. nov., and Erythrobacter crassostrea sp.nov., isolated from the hemolymph of the Pacific oyster Crassostrea gigas. Arch Microbiol. 2022;204:488. doi: 10.1007/s00203-022-03099-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Lee D-H, Cho SJ, Kim SM, Lee SB. Winogradskyella damuponensis sp. nov., isolated from seawater. Int J Syst Evol Microbiol. 2013;63:321–326. doi: 10.1099/ijs.0.041384-0. [DOI] [PubMed] [Google Scholar]
  • 21.Rapp JZ, Fernández-Méndez M, Bienhold C, Boetius A. Effects of ice-algal aggregate export on the connectivity of bacterial communities in the central arctic ocean. Front Microbiol. 2018;9:1035. doi: 10.3389/fmicb.2018.01035. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.He X, Liu R, Liang J, Li Y, Zhao X, et al. Winogradskyella ouciana sp. nov., isolated from the hadal seawater of the Mariana Trench. Int J Syst Evol Microbiol. 2021;71:3. doi: 10.1099/ijsem.0.004687. [DOI] [PubMed] [Google Scholar]
  • 23.Somero GN. Biochemical ecology of deep-sea animals. Experientia. 1992;48:537–543. doi: 10.1007/BF01920236. [DOI] [PubMed] [Google Scholar]
  • 24.Uniacke-Lowe S, Collins FWJ, Hill C, Ross RP. Bioactivity screening and genomic analysis reveals deep-sea fish microbiome isolates as sources of novel antimicrobials. Mar Drugs. 2023;21:444. doi: 10.3390/md21080444. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Harold A. Malacosteus niger in The IUCN Red List of Threatened Species. 2015. http://www.iucnredlist.org/species/190149/21909439 .
  • 26.Somiya H, Marshall NB. Yellow lens eyes of a Stomiatoid deep-sea fish. Proc R Soc Lond B Biol Sci. 1982;215:481–489. doi: 10.1098/rspb.1982.0055. [DOI] [PubMed] [Google Scholar]
  • 27.Sutton TT. Trophic ecology of the deep-sea fish Malacosteus niger(Pisces: Stomiidae): an enigmatic feeding ecology to facilitate a unique visual system? Deep Sea Research Part I: Oceanographic Research Papers. 2005;52:2065–2076. [Google Scholar]
  • 28.Shoemaker KM, Moisander PH. Seasonal variation in the copepod gut microbiome in the subtropical North Atlantic Ocean. Environ Microbiol. 2017;19:3087–3097. doi: 10.1111/1462-2920.13780. [DOI] [PubMed] [Google Scholar]
  • 29.Datta MS, Almada AA, Baumgartner MF, Mincer TJ, Tarrant AM, et al. Inter-individual variability in copepod microbiomes reveals bacterial networks linked to host physiology. ISME J. 2018;12:2103–2113. doi: 10.1038/s41396-018-0182-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Oh HN, Ri MN, Kim T, Min G-S, Kim S, et al. Changes in fecal pellet microbiome of the cold-adapted antarctic copepod Tigriopus king-sejongensis at different temperatures and developmental stages. Microb Ecol. 2021;84:1029–1041. doi: 10.1007/s00248-021-01928-z. [DOI] [PubMed] [Google Scholar]
  • 31.Collins FWJ, Walsh CJ, Gomez-Sala B, Guijarro-García E, Stokes D, et al. The microbiome of deep-sea fish reveals new microbial species and a sparsity of antibiotic resistance genes. Gut Microbes. 2021;13:1–13. doi: 10.1080/19490976.2021.1921924. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Overbeek R, Olson R, Pusch GD, Olsen GJ, Davis JJ, et al. The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST) Nucleic Acids Res. 2014;42:D206–D214. doi: 10.1093/nar/gkt1226. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Aziz RK, Bartels D, Best AA, DeJongh M, Disz T, et al. The RAST Server: rapid annotations using subsystems technology. BMC Genomics. 2008;9:75. doi: 10.1186/1471-2164-9-75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Brettin T, Davis JJ, Disz T, Edwards RA, Gerdes S, et al. RASTtk: a modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes. Sci Rep. 2015;5:8365. doi: 10.1038/srep08365. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Yoon S-H, Ha S-M, Kwon S, Lim J, Kim Y, et al. Introducing EzBioCloud: a taxonomically united database of 16S rRNA gene sequences and whole-genome assemblies. Int J Syst Evol Microbiol. 2017;67:1613–1617. doi: 10.1099/ijsem.0.001755. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Kumar S, Stecher G, Li M, Knyaz C, Tamura K. MEGA X: Molecular Evolutionary Genetics Analysis across computing platforms. Mol Biol Evol. 2018;35:1547–1549. doi: 10.1093/molbev/msy096. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Edgar RC. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004;32:1792–1797. doi: 10.1093/nar/gkh340. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Kimura M. A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences. J Mol Evol. 1980;16:111–120. doi: 10.1007/BF01731581. [DOI] [PubMed] [Google Scholar]
  • 39.Felsenstein J. Confidence limits on phylogenies: an approach using the bootstrap. Evolution. 1985;39:783–791. doi: 10.1111/j.1558-5646.1985.tb00420.x. [DOI] [PubMed] [Google Scholar]
  • 40.Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics. 2014;30:2068–2069. doi: 10.1093/bioinformatics/btu153. [DOI] [PubMed] [Google Scholar]
  • 41.Pritchard L, Glover RH, Humphris S, Elphinstone JG, Toth IK. Genomics and taxonomy in diagnostics for food security: soft-rotting enterobacterial plant pathogens. Anal Methods. 2016;8:12–24. [Google Scholar]
  • 42.Richter M, Rosselló-Móra R. Shifting the genomic gold standard for the prokaryotic species definition. Proc Natl Acad Sci USA. 2009;106:19126–19131. doi: 10.1073/pnas.0906412106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.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]
  • 44.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]
  • 45.Stamatakis A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics. 2014;30:1312–1313. doi: 10.1093/bioinformatics/btu033. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Bernardet J-F, Nakagawa Y, Holmes B. Proposed minimal standards for describing new taxa of the family Flavobacteriaceae and emended description of the family. Int J Syst Evol Microbiol. 2002;52:1049–1070. doi: 10.1099/00207713-52-3-1049. [DOI] [PubMed] [Google Scholar]
  • 47.Bruns A, Rohde M, Berthe-Corti L. Muricauda ruestringensis gen. nov., sp. nov., a facultatively anaerobic, appendaged bacterium from German North Sea intertidal sediment. Int J Syst Evol Microbiol. 2001;51:1997–2006. doi: 10.1099/00207713-51-6-1997. [DOI] [PubMed] [Google Scholar]
  • 48.Chun J, Oren A, Ventosa A, Christensen H, Arahal DR, et al. Proposed minimal standards for the use of genome data for the taxonomy of prokaryotes. Int J Syst Evol Microbiol. 2018;68:461–466. doi: 10.1099/ijsem.0.002516. [DOI] [PubMed] [Google Scholar]
  • 49.Schellenberg J, Busse H-J, Hardt M, Schubert P, Wilke T, et al. Winogradskyella haliclonae sp. nov., isolated from a marine sponge of the genus Haliclona. Int J Syst Evol Microbiol. 2017;67:4902–4910. doi: 10.1099/ijsem.0.002192. [DOI] [PubMed] [Google Scholar]
  • 50.Lee JH, Kang JW, Shin SB, Seong CN. Winogradskyella flava sp. nov., isolated from the brown alga, Sargassum fulvellum. Int J Syst Evol Microbiol. 2017;67:3540–3546. doi: 10.1099/ijsem.0.002161. [DOI] [PubMed] [Google Scholar]
  • 51.Kang H, Kim H, Joung Y, Joh K. Winogradskyella maritima sp. nov., isolated from seawater. Int J Syst Evol Microbiol. 2017;67:3840–3845. doi: 10.1099/ijsem.0.002205. [DOI] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

Supplementary information

RESOURCES