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. 2018 Oct 11;8(4):e00702. doi: 10.1002/mbo3.702

Taxonogenomics description of Parabacteroides timonensis sp. nov. isolated from a human stool sample

Melhem Bilen 1,4, Maxime Descartes Mbogning Fonkou 1, Saber Khelaifia 1, Enora Tomei 1, Frédéric Cadoret 1, Ziad Daoud 2, Nicholas Armstrong 1, Fadi Bittar 1, Pierre‐Edouard Fournier 1, Didier Raoult 1,3,5, Gregory Dubourg 1,
PMCID: PMC6460270  PMID: 30311407

Abstract

Intensive efforts have been made to describe the human microbiome and its involvement in health and disease. Culturomics has been recently adapted to target formerly uncultured bacteria and other unclassified bacterial species. This approach enabled us to isolate in the current study a new bacterial species, Parabacteroides timonensis strain Marseille‐P3236T, from a stool sample of a healthy 39‐year‐old pygmy male. This strain, is an anaerobic, gram‐negative, nonspore‐forming motile rod. Its genome is made up of 6,483,434 bp with 43.41% G+C content, 5046 protein‐encoding genes, and 84 RNA genes. We herein provide the full description of Parabacteroides timonensis strain Marseille‐P3236T through the taxonogenomic approach.

Keywords: culturomics, human, microbiome, new species, Parabacteroides timonensis

1. INTRODUCTION

The gut microbiota is well‐known for its microbial diversity and its role in health as well as in diseases. Even though scientific technologies have been greatly developed over the past years and have drastically facilitated the description of the gut microbiota, it still remains a challenging task (Turnbaugh et al., 2007) as the massive data generated over the last decade do not yet allow the clear depiction of the gut microbiota composition (Lagier et al., 2012). Nevertheless, the fact that 1 g of human stool might contain up to 1012 bacteria drives us to pursue our efforts in describing the human gut microbiota for which only around 2,776 species have been reported (Bilen et al., 2018; Hugon et al., 2015). Consequently, our laboratory has developed a new approach called culturomics which aims to isolate previously uncultured bacteria using sophisticated culture methods (Lagier et al., 2012). In doing so, culturomics has expanded our capabilities in human gut microbiota description and therefore lead to the isolation of a significant number of new genera and species (Lagier et al., 2016). The process begins with the cultivation of stool samples under varying conditions and bacterial growth is assessed over 30 days. At this point, Matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry (MALDI‐TOF MS) is primarily used for colony identification and 16S rRNA sequencing is adapted in case of MALDI‐TOF MS's identification failure. Subsequently, unidentified species are subjected to taxonogenomics description (Fournier & Drancourt, 2015). The genome of the concerned species is then sequenced for a genomic description, followed by a phenotypic and biochemical analysis (Fournier & Drancourt, 2015; Fournier, Lagier, Dubourg, & Raoult, 2015; Lagier et al., 2012). By adapting this procedure, we isolated a new species known as Parabacteroides timonensis (P. timonensis), a member of the Parabacteroides genus known to be gram‐negative, obligate anaerobic, nonmotile, rod‐shaped, and nonspore‐forming (Sakamoto & Benno, 2006). To date, eight Parabacteroides species have been isolated, out of which six were isolated from the human gut (www.bacterio.net). We demonstrate here the description of P. timonensis strain Marseille‐P3236T (=Culture Collection University Gothenburg (CCUG) 71183, =Collection de Souches de l'Unité des Rickettsies (CSUR) P3236) using the taxonogenomic approach.

2. MATERIALS AND METHODS

2.1. Ethics and sample collection

Before stool sample collection in Congo, the sample's donor has signed an informed consent. The donor is a healthy 39‐year‐old pygmy male and the collected stool samples were stored at −80°C for further analysis. In addition, an approval from the ethic committee of the Institut Fédératif de Recherche IFR48 (Marseille, France) carrying the number 09‐022 was obtained before launching the study.

2.2. Strain isolation

A loop of stool sample was diluted in phosphate‐buffered saline (Life Technologies, Carlsbad, CA, USA) prior to incubation in a blood culture bottle (BD BACTEC®, Plus Anaerobic/F Media, Le Pont de Claix, France), supplemented with 5% sheep blood and 5% filtered rumen, at 37°C under anaerobic conditions. Bacterial growth and isolation was done by subculturing samples after 5 days on 5% sheep's blood–enriched Columbia agar solid medium (bioMérieux, Marcy l'Etoile, France).

2.3. Colony identification

Isolated bacterial colonies identification trials were done first by using MALDI‐TOF MS analysis as previously described (Elsawi et al., 2017). In case of MALDI‐TOF MS identification failure, complete 16S rRNA sequencing was performed for further analysis with the same protocol used in our previous studies (Elsawi et al., 2017). Complete 16S rRNA nucleotide sequence are assembled and manipulated using CodonCode Aligner software (http://www.codoncode.com) and blasted in the online PubMed National Center for Biotechnology Information (NCBI) database for phylogenetic analysis. According to Kim, Oh, Park, & Chun (2014), a threshold of 98.65% 16S rRNA gene sequence similarity was used to classify a new species, whereas a threshold of 95% 16S rRNA gene sequence was used for new genus classification. Generated mass spectrum of the concerned species was added to our custom database and its 16S rRNA gene sequence was submitted to EMBL‐EBI database.

2.4. Growth conditions

In order to determine the optimal growth environment, strain Marseille‐P3236T was cultured using different conditions such as temperature, pH, atmosphere, and salinity. To begin with, this strain was cultured under anaerobic, aerobic, and microaerophilic conditions on 5% sheep's blood–enriched Colombia agar (bioMérieux) at 28, 45, 37, and 55°C. GENbag anaer and GENbag microaer systems (bioMérieux) were used for anaerobic and microaerophilic environment establishment, respectively. Furthermore, salt and acidity tolerance were evaluated using concentration of 0%, 5%, 15%, and 45% NaCl and pH values of 6, 6.5, 7, and 8.5.

2.5. Morphological and biochemical assays

Biochemical characteristics of Marseille‐P3236T strain were determined using different API galleries (20A, ZYM, and 50CH, bioMérieux) according to the manufacturer's instructions. Not to mention, sporulation ability was tested by culturing this strain after exposing a bacterial suspension to a thermic shock of 80°C for 10 min. Strain Marseille‐P3236T morphology was determined as previously described (Elsawi et al., 2017). Additionally, DM1000 photonic microscope (Leica Microsystems, Nanterre, France) was used to observe the motility of strain Marseille‐P3236T from a fresh culture with a 100× objective lens. Cellular fatty acid methyl ester (FAME) analysis was performed using around 43 mg of bacterial biomass per tube as formerly described (Elsawi et al., 2017).

2.6. Antibiotic susceptibility

Antibiotics susceptibility testing (AST) of Marseille P‐3236T strain was evaluated by performing minimum inhibitory concentrations (MICs) using the E‐test strip method (Biomérieux) on Columbia agar + 5% sheep blood (Biomérieux) with the following agents: rifampicin, imipenem, amikacin, cefotaxime, benzylpenicillin, vancomycin, erythromycin, amoxicillin, ceftriaxone, minocycline, metronidazole, teicoplanin, and daptomycin.

2.7. Genome sequencing and analysis

Genomic DNA (gDNA) of Marseille‐P3236T strain was extracted as previously described with 50 μL being eluted (Elsawi et al., 2017). Quantification was done using the Qubit assay with the high sensitivity kit (Life technologies, Carlsbad, CA, USA) and determined to be 134 ng/μl.

gDNA sequencing, library preparation, fragmentation, and tagmentation were performed as previously described with an optimal DNA fragment size of 8.675 kb (Lagier et al., 2016). Circularization was done using 511.4 ng of tagmented fragments with no size selection. The circularized DNA was mechanically sheared to small fragments with optima at 1059 bp on the Covaris device S2 in T6 tubes (Covaris, Woburn, MA, USA). Library profile visualization was done on a High Sensitivity Bioanalyzer LabChip (Agilent Technologies Inc, Santa Clara, CA, USA) and the final library concentration was determined at 27.8 nmol/L. After that, libraries were normalized at 2 nM and pooled. Dilution at 15 pM was done after a denaturation step and pooled libraries were loaded in the sequencer for automated cluster generation and a single sequencing run of 39 h in a 2 × 151‐bp was performed. Total information of 5.1 Gb were generated from a 542 K/mm2 cluster density with a quality control filters threshold of 95.7% (10,171,000 passing filter paired reads). Within this run, index representation for Marseille‐P3236T strain was determined to 7.69%. The 782,587 paired reads were trimmed and then assembled. Genome assembly, annotation, and comparison were done using the same pipeline and tools as previously described (Elsawi et al., 2017).

3. RESULTS AND DISCUSSION

3.1. Strain identification and phylogenetic analysis

The identification of P3236T strain using MALDI‐TOF MS failed due to the absence of its mass spectrum in the current databases. However, a typical spectrum was added to our custom database (Figure 1) after performing a complete 16s rRNA gene sequencing. Strain Marseille‐P3236T exhibited a 97.05% sequence similarity with Parabacteroides gordonii strain MS‐1 (NR_112835.1), the phylogenetically closest species with standing nomenclature (Figure 2). Accordingly, with more than 1.3% sequence divergence from its phylogenetically closest species with standing in nomenclature, we propose the classification of Marseille‐P3236T strain as a new species within the Parabacteroides genus. The protein spectrum of Marseille‐P3236T strain was compared with those of other close species under the same family. This comparison revealed its uniqueness with specific and different peaks compared to others (Figure 3).

Figure 1.

Figure 1

Reference mass spectrum representing Parabacteroides timonensis strain Marseille‐P3236T

Figure 2.

Figure 2

Phylogenetic subtree highlighting the position of Parabacteroides timonensis strain Marseille‐P3236T relative to other close species

Figure 3.

Figure 3

Gel view comparing mass the mass spectrum of Parabacteroides timonensis strain Marseille‐P3236T to other species. The gel view displays the raw spectra of loaded spectrum files arranged in a pseudo‐gel like look. The x‐axis records the m/z value. The left y‐axis displays the running spectrum number originating from subsequent spectra loading. The peak intensity is expressed by a Gray scale scheme code. The right y‐axis indicates the relation between the color of a peak and its intensity, in arbitrary units. Displayed species are indicated on the left

3.2. Phenotypic and biochemical characterization

Strain Marseille‐P3236T is a gram‐negative rod, motile, unable to sporulate, and grows anaerobically between 25 and 42°C but optimally at 37° (Table 1). It is able to endure a range of pH between 6 and 8.5 and can sustain only a 5% salinity concentration. Strain Marseille‐P3236T is catalase positive, oxidase negative, and can be seen as smooth colonies with a diameter of 0.9–1 mm. Under electron microscopy, each bacterial cell has an average length of 1.4–2.7 μm and an average diameter of 0.5 μm (Figure 4).

Table 1.

Classification and general features of Parabacteroides timonensis strain Marseille‐P3236T

Property Term
Current classification Domain: Bacteria
Phylum: Bacteroidetes
Class: Bacteroidia
Order: Bacteroidales
Family: Porphyromonadaceae
Genus: Parabacteroides
Species: Parabacteroides timonensis
Type strain: P3236
Gram strain Negative
Cell shape Rod
Motility Motile
Sporulation Negative
Temperature range 30‐42°C
Optimum temperature 37°C

Figure 4.

Figure 4

Electron micrographs of Parabacteroides timonensis strain Marseille‐P3236T using a Tecnai G20, at an operating voltage of 200 keV. Scale bar = 200 nm

MICs of strain Marseille‐P3236T for various antimicrobial agents were as follows: rifampicin (8 μg/ml), Imipenem (8 μg/ml), amikacin (>256 μg/ml), cefotaxime (6 μg/ml), benzylpenicillin (16 μg/ml), vancomycin (4 μg/ml), erythromycin (0.016 μg/ml), amoxicillin (1.5 μg/ml), ceftriaxone (4 μg/ml), minocycline (0.25 μg/ml), metronidazole (>256 μg/ml), teicoplanin (2 μg/ml), and daptomycin (12 μg/ml).

The main biochemical features obtained by API tests are summarized in Table 2. Additionally, the general features of strain Marseille‐P3236T have been listed in Table 3.

Table 2.

Main biochemical features of strain Parabacteroides timonensis strain Marseille‐P3236T obtained by API tests (20A, 50CH, and ZYM)

Test Results Test Results Test Results
Alkaline phosphatase + Fermentation (d‐glucose) + Fermentation (d‐turanose) +
Esterase (C4) + Fermentation (d‐fructose) + Fermentation (d‐lyxose)
Esterase Lipase (C8) + Fermentation (d‐mannose) + Fermentation (d‐tagatose) +
Lipase (C14) Fermentation (l‐sorbose) Fermentation (d‐fucose)
Leucine arylamidase + Fermentation (l‐rhamnose) + Fermentation (l‐fucose)
Valine arylamidase + Fermentation (d‐ulcitol) Fermentation (d‐arabitol)
Cystine arylamidase + Fermentation (Inositol) Fermentation (l‐arabitol)
Trypsin Fermentation (d‐mannitol) + Fermentation (potassium gluconate) +
α‐chymotrypsin Fermentation (d‐sorbitol) + Fermentation (potassium 2‐Ketogluconate)
Acid phosphatase + Fermentation (Methyl‐αd‐mannopyranoside) + Fermentation (potassium 5‐Ketogluconate)
Naphthol‐AS‐BI‐phosphohydrolase + (Fermentation (Methyl‐αd‐glucosamine)) + Indole formation
α‐galactosidase + Fermentation (n‐acetylglucosamine) + Urease
β‐galactosidase + Fermentation (Amygdaline) + Acidification (Glucose) +
β‐glucuronidase + Fermentation (Arbutin) + Acidification (Mannitol)
α‐glucosidase + Fermentation (Esculin ferric citrate) + Acidification (Lactose) +
β‐glucosidase + Fermentation (Salicin) + Acidification (Saccharose) +
N‐acetyl‐β‐glucosaminidase + Fermentation (d‐cellobiose) + Acidification (Maltose) +
α‐mannosidase Fermentation (d‐Maltose) + Acidification (Salicin)
α‐fucosidase Fermentation (d‐lactose) + Acidification (Xylose) +
Fermentation (Glycerol) Fermentation (d‐melibiose) + Acidification (Arabinose) +
Fermentation (Erythritol) + Fermentation (d‐saccharose/sucrose) + Hydrolysis (protease) (Gelatin)
Fermentation (d‐arabinose) + Fermentation (d‐trehalose) + Hydrolysis β‐ glucosidase (Esculin)
Fermentation (l‐arabinose) + Fermentation (Inuline) + Acidification (Glycerol)
Fermentation (d‐ribose) + Fermentation (d‐melezitose) + Acidification (Cellobiose)
Fermentation (d‐xylose) + Fermentation (d‐raffinose) + Acidification (Mannose) +
Fermentation (l‐xylose) Fermentation (Starch) + Acidification (Melezitose)
Fermentation (d‐adonitol) Fermentation (Glycogen) Acidification (Raffinose) +
Fermentation (Methyl‐β‐d‐xylopyranoside) Fermentation (xylitol) Acidification (Sorbitol)
Fermentation (d‐galactose) + Fermentation (Gentiobiose) + Acidification (Rhamnose) +
Acidification (Trehalose) +

Table 3.

General characteristics of Parabacteroides timonensis strain Marseille‐P3236T

Properties Parabacteroides timonensis
Cell length (μm) 1.4‐2.7
Oxygen requirement Strictly anaerobic
Gram stain Negative
Salt requirement
Motility +
Endospore formation
Indole
Production of
Alkaline phosphatase +
Catalase +
Oxidase
Urease
β‐galactosidase +
n‐acetyl‐glucosamine +
Acid from
l‐Arabinose +
d‐Ribose +
d‐Mannose +
d‐Mannitol +
d‐glucose +
d‐fructose +
d‐maltose +
d‐lactose +
G+C content (mol%) 43.41
Habitat Human gut

The major fatty acid found in this strain was 12‐methyl‐tetradecanoic acid (46%). Several specific 3‐hydroxy branched structures were described. Minor amounts of unsaturated, branched, and other saturated fatty acids were also detected (Table 4).

Table 4.

Cellular fatty acids composition of Parabacteroides timonensis strain Marseille‐P3236T

Fatty acids Name Mean relative % (a)
15:0 anteiso 12‐methyl‐tetradecanoic acid 46.0 ± 0.5
15:0 Pentadecanoic acid 8.6 ± 0.4
18:1n9 9‐Octadecenoic acid 8.4 ± 0.4
17:0 3‐OH iso 3‐hydroxy‐15‐methyl‐Hexadecanoic acid 7.6 ± 0.4
16:0 Hexadecanoic acid 6.1 ± 0.1
18:2n6 9,12‐Octadecadienoic acid 5.8 ± 0.5
15:0 iso 13‐methyl‐tetradecanoic acid 4.7 ± 0.1
16:0 3‐OH 3‐hydroxy‐Hexadecanoic acid 3.9 ± 0.3
17:0 3‐OH anteiso 3‐hydroxy‐14‐methyl‐Hexadecanoic acid 1.4 ± 0.6
14:0 iso 12‐methyl‐Tridecanoic acid 1.2 ± 0.1
5:0 iso 3‐methyl‐butanoic acid 1.0 ± 0.1
14:0 Tetradecanoic acid 1.0 ± 0.1
18:0 Octadecanoic acid TR
16:1n7 9‐Hexadecenoic acid TR
15:0 3‐OH 3‐hydroxy‐Pentadecanoic acid TR
17:0 3‐OH 3‐hydroxy‐Heptadecanoic acid TR
17:1n7 10‐Heptadecenoic acid TR
20:4n6 5,8,11,14‐Eicosatetraenoic acid TR
13:0 iso 11‐methyl‐Dodecanoic acid TR
18:1n7 11‐Octadecenoic acid TR
16:0 3‐OH iso 3‐hydroxy‐14‐methyl‐Pentadecanoic acid TR
16:0 9,10‐methylene 2‐hexyl‐Cyclopropaneoctanoic acid TR
13:0 anteiso 10‐methyl‐Dodecanoic acid TR
17:0 Heptadecanoic acid TR
13:0 Tridecanoic acid TR

Mean peak area percentage; TR = trace amounts <1%.

3.3. Genome properties

Strain Marseille‐P3236T had a genome of 6,483,434 bp long with 43.41 mol% of G+C content. It is composed of eight scaffolds (composed of 13 contigs). Of the 5,130 predicted genes, 5,046 were protein‐coding genes and 84 were RNAs (6 genes are 5S rRNA, 1 gene is 16S rRNA, 5 genes are 23S rRNA, and 72 genes are tRNA genes). A total of 3,253 genes (64.47%) were assigned as putative function (by cogs or by NR blast) and 202 genes were identified as ORFans (4%). The remaining genes were annotated as hypothetical proteins (1,483 genes; 29.39%) (Table 5). The representations of strain Marseille‐P3236T’ genome and its genes repartition into COG functional categories were done in Figure 5 and Table 6, respectively.

Table 5.

General genomic characteristics of strain Marseille‐P3236T

Number Percenta
Size (bp) 6,483,434 100
Number of G+C 2,813,492 43.41
Number total of genes 5,130 100
Number total of protein genes 5,046 98.36
Number total of RNA genes 84 1.64
Number total of tRNA genes 72 1.40
Number total of RNA (5S, 16S, 23S) genes 12 0.23
Coding sequence size 5,884,794 90.77
Coding sequence gene protein size 5,858,682 90.36
Coding sequence tRNA gene size 5,555 0.09
Coding sequence (5S, 16S, 23S) gene size 20,557 0.32
Number of protein‐coding gene 5,046 100
Number of protein associated to COGs 2,513 49.80
Number of protein associated to orfan 202 4.00
Number of protein with peptide sigNAl 1,641 32.52
Number of gene associated to resistance genes 0 0
Number of gene associated to PKS or NRPS 11 0.22
Number of genes associated to virulence 705 13.97
a

The total is based on either the size of the genome in base pairs or the total number of protein‐coding genes in the annotated genome.

Figure 5.

Figure 5

Graphical circular map of the genome of Parabacteroides timonensis strain Marseille‐P3236T. From outside to the center: Contigs (red/gray), COG category of genes on the forward strand (three circles), genes on forward strand (blue circle), genes on the reverse strand (red circle), COG category on the reverse strand (three circles), G+C content

Table 6.

Number of genes associated with the 25 general COG functional categories

Code Value % of total Description
[J] 194 3.8446293 Translation
[A] 0 0 RNA processing and modification
[K] 194 3.8446293 Transcription
[L] 165 3.2699168 Replication, recombination and repair
[B] 0 0 Chromatin structure and dynamics
[D] 25 0.49544194 Cell cycle control, mitosis, and meiosis
[Y] 0 0 Nuclear structure
[V] 128 2.5366626 Defense mechanisms
[T] 183 3.6266348 Signal transduction mechanisms
[M] 233 4.617519 Cell wall/membrane biogenesis
[N] 22 0.43598887 Cell motility
[Z] 1 0.019817676 Cytoskeleton
[W] 0 0 Extracellular structures
[U] 37 0.7332541 Intracellular trafficking and secretion
[O] 96 1.902497 Posttranslational modification, protein turnover, chaperones
[X] 25 0.49544194 Mobilome: prophages, transposons
[C] 142 2.8141103 Energy production and conversion
[G] 248 4.914784 Carbohydrate transport and metabolism
[E] 180 3.5671818 Amino acid transport and metabolism
[F] 67 1.3277843 Nucleotide transport and metabolism
[H] 131 2.5961156 Coenzyme transport and metabolism
[I] 83 1.6448673 Lipid transport and metabolism
[P] 297 5.8858504 Inorganic ion transport and metabolism
[Q] 36 0.7134364 Secondary metabolites biosynthesis, transport and catabolism
[R] 229 4.538248 General function prediction only
[S] 108 2.140309 Function unknown
_ 2,533 50.19818 Not in COGs

3.4. Comparison of genome properties

The draft genome sequence of Marseille‐P3236T strain was compared to those of Parabacteroides gordonii (P. gordonii) (AUAE00000000), Parabacteroides distasonis (P. distasonis) (JNHP00000000), Porphyromonas canoris (P. canoris) (JQZV00000000), Parabacteroides johnsonii (P. johnsonii) (ABYH00000000), Parabacteroides merdae (P. merdae) (AJPU00000000), and Tannerella forsythia (T. forsythia) (CP003191).

Genome of Marseille‐P3236T strain was smaller than those of P. gordonii (6,483 and 6,677 MB, respectively), but was nevertheless larger than those of P. distasonis, P. canoris, P. johnsonii, P. merdae, and T. forsythia (5,316, 2,203, 4,787, 4,459, and 3,282 MB, respectively). The G+C content of Marseille‐P3236T strain was smaller than those of P. distasonis, P. canoris, P. johnsonii, P. merdae, T. forsythia, and P. gordonii (43.41%, 44.85%, 44.75%, 45.2%, 45.25%, 47.14%, and 44.43%, respectively). The gene content of Marseille‐P3236T strain was smaller than those of P. gordonii (5,046 and 5,326, respectively), but was larger than those of P. distasonis, P. canoris, P. johnsonii, P. merdae, and T. forsythia (4,800, 1,612, 4,515, 3,703, and 2,492, respectively).

Distribution of functional classes of predicted genes according to the COGs database regarding strain Marseille‐P3236T is presented in Figure 6. The distribution was similar in all the studied genomes. Strain Marseille‐P3236T shared the highest number of orthologous proteins with P. gordonii (2,614 with 84.62% similarity at the nucleotide level, Table 7).

Figure 6.

Figure 6

Distribution of functional classes of predicted genes according to the clusters of orthologous groups of proteins for Parabacteroides timonensis strain Marseille‐P3236T

Table 7.

The numbers of orthologous proteins shared between strain Marseille‐P3236T genomes and others closely related species genomes (upper right), average percentage similarity of nucleotides of shared orthologous proteins between genomes (lower left) and numbers of proteins per genome (bold)

TF PM PC PT PJ PG PD
TF 2,492 1,287 822 1,388 1,207 1,379 1,248
PM 59.79 3,703 905 2,279 2,147 2,224 1,991
PC 56.21 55.97 1,612 935 860 922 871
PT 58.35 61.94 56.9 5,046 2,222 2,614 2,237
PJ 59.7 76.79 56.11 61.54 4,515 2,176 1,943
PG 58.45 62.12 56.94 84.62 61.71 5,326 2,216
PD 59.15 64.48 55.61 61.98 63.46 62 4,800

Note. TF, Tannerella forsythia; PM, Parabacteroides merdae; PC, PorphyromoNAs canoris; PT, Parabacteroides timonensis; PJ, Parabacteroides johnsonii; PG, Parabacteroides gordonii; PD, Parabacteroides distasonis.

As for digital DNA‐DNA hybridization (dDDH) values between strain Marseille‐P3236T and its phylogenetic closest species, it was 21.6 [19.3–24], 31 [28.6–33.5], 21.5 [19.2–23.9], 28 [25.7–30.5], and 23.5 [21.2–25.9] with P. johnsonii, P. canoris, P. distasonis, P. gordonii, and T. forsythia, respectively. In fact, 70% dDDH value is considered as a threshold to define a new bacterial species (Tindall, Rosselló‐Móra, Busse, Ludwig, & Kämpfer, 2010; Wayne et al., 1987). According to our results, strain Marseille‐P3236T shared with all its phylogenetically closest species with standing in nomenclature dDDH value of less than 70% and thus confirming it as a new species (Table 8).

Table 8.

Pairwise comparison of Parabacteroides timonensis strain Marseille‐P3236Twith other species using GGDC, formula 2 (DDH estimates based on identities/HSP length)a upper right

PT PJ PC PD PG TF
PT 100% 21.6 [19.3–24%] 31 [28.6–33.5%] 21.5 [19.2–23.9%] 28 [25.7–30.5%] 23.5 [21.2–25.9%]
PJ 100% 30.8 [28.4–33.3%] 22.5 [20.2–24.9%] 21.3 [19.1–23.8%] 28.8 [26.4–31.3%]
PC 100% 28 [25.7–30.5%] 33.3 [25.7–30.5%] 32.9 [25.7–30.5%]
PD 100% 20.5 [18.3–23%] 23.2 [20.9–25.6%]
PG 100% 17.1 [15–19.5%]
TF 100%

Note. TF, Tannerella forsythia; PM, Parabacteroides merdae; PC, PorphyromoNAs canoris; PT, Parabacteroides timonensis; PJ, Parabacteroides johnsonii; PG, Parabacteroides gordonii; PD, Parabacteroides distasonis.

a

The confidence intervals indicate the inherent uncertainty in estimating DDH values from intergenomic distances based on models derived from empirical test data sets.

4. DISCUSSION

The human gut microbiota has been extensively studied by the scientific community and it has already been correlated with several health conditions such as obesity (Million et al., 2016), gastrointestinal diseases (Guinane & Cotter, 2013), or nonalcoholic fatty acid liver disease (Abu‐Shanab & Quigley, 2010). Profiling the bacterial content and its ratio in the human gut have led to the development of several therapeutic strategies such as probiotics, and also therapeutic improvements such as the case of CTLA‐4‐based cancer immunotherapy (Vétizou et al., 2015). Hence, describing the human gut microbiota without neglecting a group of its population is essential. Culturomics was developed for the purpose of isolating previously uncultured organisms along with attempting to correlate its sequences to operational taxonomic units (Lagier et al., 2012, 2016). This work adds on the previously performed descriptive studies on the human gut microbiota via culturomics (Lagier et al., 2016) by isolating a new bacterial species belonging to the Parabacteroides genus (Sakamoto & Benno, 2006). However, Parabacteroides has been previously isolated from clinical cases (Kierzkowska et al., 2017) and was the causative agent of bacteremia (Awadel‐Kariem, Patel, Kapoor, Brazier, & Goldstein, 2010). This fact renders the isolation and description of a new Parbacteroides species important as it can now be more easily identified if isolated in the future during a clinical case and thus facilitating medical diagnoses.

5. CONCLUSION

In conclusion, describing the human microbiota remains a challenging task requiring intensive efforts. Even though sequencing approaches proved to be efficient in this field, culturomics reemphasized the importance of culture in deciphering the dark matter of the human microbiome by shedding the light on previously unidentified and uncultured species (Lagier et al., 2016). Herein, we report the isolation of a new bacterial species from the human gut, Parabacteroides timonensis strain P3236T which represents the ninth Parabacteroides species and the seventh found in the human gut.

5.1. Description of Parabacteroides timonensis sp. nov

Parabacteroides timonensis (ti.mo.nen′sis. N.L. masc. adj. timonensis pertaining to La Timone, Marseilles’ hospital name, France, where the strain was isolated).

P. timonensis is motile, gram‐negative rod, catalase positive, oxidase negative, nonspore‐forming, strictly anaerobic, and has a cell length ranging between 1.4 and 2.7 μm. Colonies of P. timonensis are smooth and exhibit a diameter of 0.8–1 mm. The optimal growth temperature of P. timonensis is 37°C.

Positive reactions are observed with alkaline phosphatase, α‐glucosidase, esterase lipase C8, valine arylamidase, acid phosphatase, cystine arylamidase, α –galactosidase, naphthol‐AS‐BI‐phosphohydrolase, β‐galactosidase, leucine arylamidase, β‐glucuronidase, β‐glucosidase, esterase C4, N‐acetyl‐β‐glucosaminidase but negative with lipase (C14), trypsin, α‐chymotrypsin, α‐mannosidase, and α‐fucosidase. Acidification reactions are positive for saccharose, glucose, arabinose, lactose, maltose, raffinose, xylose, trehalose, and rhamnose but negative for glycerol, cellobiose, melezitose, sorbitol, mannitol, and salicin. This strain fails to form indole, is urease negative, and cannot hydrolyze gelatin or esculin. Strain Marseille‐P3236T is able to ferment d‐saccharose, d‐arabinose, d‐xylose, d‐glucose, d‐fructose, d‐ribose, d‐mannose, d‐glucose, l‐rhamnose, erythritol, salicin, methyl‐αd‐mannopyranoside, l‐arabinose, d‐cellobiose, d‐fructose, d‐galactose, d‐raffinose, d‐mannitol, d‐tagatose, d‐sorbitol, d‐maltose, arbutin, d‐lactose, methyl‐αd‐glucosamine, amygdaline, n‐acetylglucosamine, esculin ferric citrate, d‐trehalose, d‐melibiose, inulin, d‐melezitose, d‐turanose, starch, and potassium gluconate but not xylitol, potassium 5‐ketogluconate, potassium 2‐ketogluconate, methyl‐βd‐xylopyranoside, l‐xylose, l‐sorbose, l‐fucose, l‐arabitol, inositol, glycerol, glycogen, d‐ulcitol, d‐lyxose, d‐fucose, d‐arabitol, and d‐adonitol. Its major fatty acid is 12‐methyl‐tetradecanoic acid (46%).

Strain Marseille‐P3236T genome is 6,483,434 bp long with 43.41 mol% of G+C content. The 16S rRNA and genome sequences of P. timonensis were deposited in EMBL‐EBI under accession number LT598573 and FQSE01000000, respectively [32]. The type strain is Marseille‐P3236T (=CSUR P3236 = CCUG 71183), and was isolated from the stool sample of a healthy 39‐year‐old pygmy male from Congo.

CONFLICT OF INTEREST

The authors declare no conflict of interest.

ACKNOWLEDGMENTS

The authors acknowledge Xegen (http://www.xegen.fr/) for genomic analyses performance and Claudia Andrieu for administrative assistance.

Bilen M, Mbogning Fonkou MD, Khelaifia S, et al. Taxonogenomics description of Parabacteroides timonensis sp. nov. isolated from a human stool sample. MicrobiologyOpen. 2019;8:e702 10.1002/mbo3.702

Funding information

This work has benefited from the French State support, managed by the ‘Agence Nationale pour la Recherche’ including the “Programme d'Investissement d'avenir” under the reference Méditerranée Infection 10‐IAHU‐03. This work was supported by Région Provence Alpes Côte d'Azur and European funding FEDER PRIMI.

DATA ACCESSIBILITY

16S rRNA gene sequence was deposited under the accession number: LT598573. The genome bioproject was deposited under the accession number: PRJEB18032. The strain was deposited under the following strain deposit numbers: CSUR P3236 and CCUG 71183.

REFERENCES

  1. Abu‐Shanab, A. , & Quigley, E. M. M. (2010). The role of the gut microbiota in nonalcoholic fatty liver disease. Nature Reviews Gastroenterology & Hepatology, 7(12), 691–701. 10.1038/nrgastro.2010.172 [DOI] [PubMed] [Google Scholar]
  2. Awadel‐Kariem, F. M. , Patel, P. , Kapoor, J. , Brazier, J. S. , & Goldstein, E. J. C. (2010). First report of Parabacteroides goldsteinii bacteraemia in a patient with complicated intra‐abdominal infection. Anaerobe, 16(3), 223–225. 10.1016/j.anaerobe.2010.01.001 [DOI] [PubMed] [Google Scholar]
  3. Bilen, M. , Dufour, J.‐C. , Lagier, J.‐C. , Cadoret, F. , Daoud, Z. , Dubourg, G. , & Raoult, D. (2018). The contribution of culturomics to the repertoire of isolated human bacterial and archaeal species | Microbiome | Full Text [Internet]. Retrieved from https://microbiomejournal.biomedcentral.com/articles/10.1186/s40168-018-0485-5 (cited 2018 May 28). [DOI] [PMC free article] [PubMed]
  4. Elsawi, Z. , Togo, A. H. , Beye, M. , Dubourg, G. , Andrieu, C. , Armsrtong, N. , … Fournier, P. E. (2017). Hugonella massiliensis gen. nov., sp. nov., genome sequence, and description of a new strictly anaerobic bacterium isolated from the human gut. MicrobiologyOpen, 6(4), e00458 10.1002/mbo3.458 [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Fournier, P.‐E. , & Drancourt, M. (2015). New microbes new infections promotes modern prokaryotic taxonomy: A new section “TaxonoGenomics: New genomes of microorganisms in humans”. New Microbes New Infect, 7, 48–49. 10.1016/j.nmni.2015.06.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Fournier, P.‐E. , Lagier, J.‐C. , Dubourg, G. , & Raoult, D. (2015). From culturomics to taxonomogenomics: A need to change the taxonomy of prokaryotes in clinical microbiology. Anaerobe, 36 (Suppl C), 73–78. 10.1016/j.anaerobe.2015.10.011 [DOI] [PubMed] [Google Scholar]
  7. Guinane, C. M. , & Cotter, P. D. (2013). Role of the gut microbiota in health and chronic gastrointestinal disease: Understanding a hidden metabolic organ. Ther Adv Gastroenterol, 6(4), 295–308. 10.1177/1756283X13482996 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Hugon, P. , Dufour, J.‐C. , Colson, P. , Fournier, P.‐E. , Sallah, K. , & Raoult, D. (2015). A comprehensive repertoire of prokaryotic species identified in human beings. Lancet Infect Dis, 15(10), 1211–1219. 10.1016/S1473-3099(15)00293-5 [DOI] [PubMed] [Google Scholar]
  9. Kierzkowska, M. , Majewska, A. , Szymanek‐Majchrzak, K. , Sawicka‐Grzelak, A. , Mlynarczyk, A. , & Mlynarczyk, G. (2017). The in vitro effect of clindamycin against Bacteroides and Parabacteroides isolates in Poland. J Glob Antimicrob Resist, 9, P49–52. [DOI] [PubMed] [Google Scholar]
  10. Kim, M. , Oh, H.‐S. , Park, S.‐C. , & Chun, J. (2014). Towards a taxonomic coherence between average nucleotide identity and 16S rRNA gene sequence similarity for species demarcation of prokaryotes. International Journal of Systematic and Evolutionary Microbiology, 64(Pt 2), 346–351. 10.1099/ijs.0.059774-0 [DOI] [PubMed] [Google Scholar]
  11. Lagier, J. C. , Armougom, F. , Million, M. , Hugon, P. , Pagnier, I. , Robert, C. , … Trape, J. F. (2012). Microbial culturomics: Paradigm shift in the human gut microbiome study. Clin Microbiol Infect Off Publ Eur Soc Clin Microbiol Infect Dis, 18(12), 1185–1193. [DOI] [PubMed] [Google Scholar]
  12. Lagier, J. C. , Khelaifia, S. , Alou, M. T. , Ndongo, S. , Dione, N. , Hugon, P. , … Durand, G. (2016). Culture of previously uncultured members of the human gut microbiota by culturomics. Nat Microbiol, 1, 16203 10.1038/nmicrobiol.2016.203 [DOI] [PubMed] [Google Scholar]
  13. Million, M. , Alou, M. T. , Khelaifia, S. , Bachar, D. , Lagier, J. C. , Dione, N. , … Fromonot, J. (2016). Increased gut redox and depletion of anaerobic and methanogenic prokaryotes in severe acute malnutrition. Scientific Reports, 6(1), 26051 Retrieved from http://www.nature.com/articles/srep26051 [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  14. Sakamoto, M. , & Benno, Y. (2006). Reclassification of Bacteroides distasonis, Bacteroides goldsteinii and Bacteroides merdae as Parabacteroides distasonis gen. nov., comb. nov., Parabacteroides goldsteinii comb. nov. and Parabacteroides merdae comb. nov. International Journal of Systematic and Evolutionary Microbiology, 56(7), 1599–1605. 10.1099/ijs.0.64192-0 [DOI] [PubMed] [Google Scholar]
  15. Tindall, B. J. , Rosselló‐Móra, R. , Busse, H.‐J. , Ludwig, W. , & Kämpfer, P. (2010). Notes on the characterization of prokaryote strains for taxonomic purposes. International Journal of Systematic and Evolutionary Microbiology, 60(Pt 1), 249–266. 10.1099/ijs.0.016949-0 [DOI] [PubMed] [Google Scholar]
  16. Turnbaugh, P. J. , Ley, R. E. , Hamady, M. , Fraser‐Liggett, C. M. , Knight, R. , & Gordon, J. I. (2007). The human microbiome project. Nature, 449(7164), 804–810. 10.1038/nature06244 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Vétizou, M. , Pitt, J. M. , Daillère, R. , Lepage, P. , Waldschmitt, N. , Flament, C. , … Poirier‐Colame, V. (2015). Anticancer immunotherapy by CTLA‐4 blockade relies on the gut microbiota. Science, 350(6264), 1079–1084. 10.1126/science.aad1329 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Wayne, L. G. , Brenner, D. J. , Colwell, R. R. , Grimont, P. A. D. , Kandler, O. , Krichevsky, M. I. , … Starr, M. P. (1987). Report of the ad hoc committee on reconciliation of approaches to bacterial systematics. International Journal of Systematic and Evolutionary Microbiology, 37(4), 463–464. 10.1099/00207713-37-4-463 [DOI] [Google Scholar]

Associated Data

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

Data Availability Statement

16S rRNA gene sequence was deposited under the accession number: LT598573. The genome bioproject was deposited under the accession number: PRJEB18032. The strain was deposited under the following strain deposit numbers: CSUR P3236 and CCUG 71183.


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