Abstract
Background: The microbial community residing in the animal gastrointestinal tract play a crucial role in host health. Because of the high complexity of gut microbes, many microbes remain unclassified. Deciphering the role of each bacteria in health and diseases is only possible after its culture, identification, and characterization. During the culturomics study of feral chicken cecal sample, we cultured a possible novel strain SW165 T.
Methods: For the possible novel strain SW165 T, phenotypic characterization was performed using colony morphology, Gram staining, growth in different temperature and pH and motility. Biochemical assays included carbon source utilization, enzymatic activity, cellular fatty acids and short chain fatty acid production. 16S rRNA sequencing and whole genome sequencing and comparison was performed for genetic analysis.
Results: This strain was isolated from cecal content of feral chickens in Brookings, South Dakota, USA. Phylogenetic analyses based on 16S rRNA gene sequence revealed that the closest valid neighbor was Olsenella profusa DSM 13989 T (96.33% similarity) within the family Atopobiaceae. Cells were Gram-strain-positive and obligately anaerobic bacilli in chains. The optimum temperature and pH for the growth of the microorganism were 37-45 oC and pH 6.0-7.5 respectively. This strain produced acetic acid as the primary fermentation product. Major fatty acids were C 12:0, C 14:0, C 14:0 DMA and summed feature 1 (C 13:1 at 12-13 and C 14:0 aldehyde). Strain SW165 T exhibited a genome size of 2.43 Mbp with a G+C content of 67.59 mol%, which is the second highest G+C content among members of the genus Olsenella. The digital DNA-DNA hybridization and OrthoANI values between SW165 T and DSM 13989 T were only 17.6 ± 5.3 and 74.35%, respectively.
Conclusion: Based on the phenotypic, biochemical, and genomic analyses, we propose the new species of the genus Olsenella, and name it Olsenella lakotia SW165 T sp. nov., (=DSM 107283 =CCOS 1887) as the type strain.
Keywords: Olsenella lakotia SW165T sp. nov., culturomics, chicken gut microbiota, taxono-genomics
Introduction
The chicken gut harbors highly diverse microbes 1. The gut microbes are known for their nutritional benefits by producing short chain fatty acids, enzymes, amino acids along with their ability to resist pathogens, immunity development and maintain homeostasis 2. Even though culture independent methods have highlighted the functional capability of gut microbes, validation of these functions requires their cultivation, identification, and characterization. Most of the intestinal bacteria have been never isolated in the laboratory 3, 4 thus hindering the understanding of their ecological and functional roles in the gut. Recently, “culturomics” strategy drives discovery of previously uncultured species based on modified culture conditions, such as media, temperature, pH and atmosphere and rapid identifying methods; matrix-assisted desorption ionization- time of flight mass spectrometry (MALDI-TOF MS) and 16S rRNA gene sequencing 5– 7. We employed culturomics to isolate bacteria from cecum of feral chickens. Based on bacterial isolation and identification, strain SW165 T was found as a new species within the genus Olsenella.
The members of the genus Olsenella are strictly anaerobic, Gram-positive, non-motile, non-spore-forming bacilli or cocci. This genus was first named by Dewhirst et al. 2001 8 and amended by Zhi et al 2009 9 and Kraatz et al 2011 10. This genus has recently been reclassified as a member of the family Atopobiaceae under order Coriobacteriales, class Coriobacteria, and phylum Actinobacteria 11. The genus Olsenella consists of nine published species; O. uli 12, O. profusa 8, O. umbonata 10, O. scatoligenes 13, O. urininfantis 14, O. congonensis 15, O. provencensis 16, O. phocaeensis 16, and O. mediterranea 16. The members of this genus are strictly anaerobic, Gram positive, non-motile, non-spore forming rod shaped with G+C content of DNA 62–64% 8, 13, 17. The main habitats of the Olsenella are the oral cavity and gastrointestinal tract of humans 18– 21, animals and various anaerobic environmental sites 22– 24. In chicken cecum, many members of genus Olsenella have been reported in the chicken microbiome in metagenomic-based studies 15, 25. However, only O. uli was isolated from chicken gut 26.
The taxono-genomics approach uses combination of phenotypic and genotypic characterization to describe new bacteria 27, 28. Phenotypic investigation includes morphological, physiological, and biochemical assays. Genome-based and 16S-based analysis are used in genotypic characterization. In this study, strain SW165 T was described using taxono-genomics and compared to its closely related phylogenetic neighbors. Following analysis, we found that strain SW165 T belongs to a novel species for which the name Olsenella lakotia SW165 T sp. nov. is proposed.
Methods
Strain isolation
The cecal content of feral chickens was collected in Brookings, South Dakota, USA. For cultivation, the samples were transferred into an anaerobic workstation (Coy Laboratory) containing 85% nitrogen, 10% hydrogen and 5 % carbon dioxide and plated on a modified Brain Heart Infusion (BHI-M) agar containing 37 g/L of BHI, 5 g/L of yeast extract, 1 ml of 1 mg/ml menadione, 0.3 g of L-cysteine, 1 ml of 0.25 mg/L of resazurin, 1 ml of 0.5 mg/ml hemin, 10 ml of vitamin and mineral mixture, 1.7 ml of 30 mM acetic acid, 2 ml of 8 mM propionic acid, 2 ml of 4 mM butyric acid, 100 µl of 1 mM isovaleric acid, and 1% of pectin and inulin. After 3 days of incubation at 37°C under anaerobic conditions, single colony of strain SW165 was identified by MALDI-TOF mass spectrometry using a Microflex spectrometer (Bruker Daltonics, Bremen, Germany). The strain was maintained in BHI-M medium and stored with 10% (v/v) Dimethyl Sulfoxide (DMSO) at -80°C.
Phenotypic and biochemical tests
For morphological characterization, the strain SW165 T was anaerobically cultivated in BHI-M medium, pH 6.8-7.2, at 37 o C. Colony morphologies were examined after 2–3 days of incubation on BHI-M agar plates. Gram-staining was performed using a Gram-Staining kit set (Difco), according to the manufacturer’s instructions. Cell morphologies were examined by scanning electron microscopy (SEM) of cultures during exponential growth. Aerotolerance was examined by incubating cultures for 2 days separately under aerobic and anaerobic conditions. Growth of strain SW165 T at 4, 20, 30, 37, 40 and 55°C was determined. For determining the range of pH for growth of SW165 T, the pH of the medium was adjusted to pH 4.0–9.0 with sterile anaerobic stock solutions of 0.1 M HCl and 0.1 M NaOH. Motility of this microorganism was determined using motility medium with triphenyltetrazolium chloride (TTC) 29. The growth was indicated by the presence of red color, reduced form of TTC after it is absorbed into bacterial cell wall.
Biochemical tests to determine standard taxonomic characteristics for strain SW165 T were performed in triplicate. The utilization of various substrates as sole carbon and energy sources and enzyme activities were performed using the AN MicroPlate (BIOLOG) and API ZYM (bioMérieux) according to the manufacturer's instructions. Reference strain, DSM 13989 T purchased from the DSMZ culture collection and isolated strains SW165 T were simultaneously cultured in BHI-M medium at 37°C for 24 h under anaerobic condition before cell biomass were harvested for cellular fatty acid analysis. The fatty acids were extracted, purified, methylated and analyzed using gas chromatography (Agilent 7890A) based on the instruction from Microbial Identification System (MIDI) 30. Metabolic end-products such as short-chain fatty acids of strain SW165 T and DSM 13989 T grown in BHI-M were determined using a gas chromatography. The cultures were deproteinized with 25% metaphosphoric acid before supernatant collection. The supernatant was analyzed for the presence of acetic acid, butyric acid, isovaleric acid and propionic acid using GC (Themo Scientific TM TRACE TM 1310 GC equipped with a TraceGOLD TM TG-WaxMS A GC column.).
16S RNA phylogenetical analysis
Genomic DNA of the strain SW165 T was extracted using a DNeasy Blood & Tissue kit (Qiagen), according to the manufacturer’s instructions. 16S rRNA gene sequence was amplified using universal primer set 27F (5’- AGAGTTTGATCMTGGCTCAG-3’; Lane et al., 1991) and 1492R (5’- ACCTTGTTACGACTT- 3’; Stackebrandt et al., 1993) 31, 32, and sequenced using a Sanger DNA sequencer (ABI 3730XL; Applied Biosystems). The 16S rRNA gene sequence of SW165 was then compared with closely related strains from the GenBank ( www.ncbi.nlm.nih.gov/genbank/) and EZBioCloud databases ( www.ezbiocloud.net/eztaxon) 33. Alignment and phylogenetic analysis were conducted using MEGA7 software 34. Multiple sequence alignments were generated using the CLUSTAL-W 35. Reconstruction of phylogenetic trees was carried out using the maximum-likelihood (ML) 36, maximum-parsimony (MP) 37, and neighbor-joining (NJ) 38 methods. The distance matrices were generated according to Kimura's two-parameter model. Bootstrap resampling analysis of 1000 replicates was performed to estimate the confidence of tree topologies.
Genome sequencing and analysis
The whole genome sequencing of strain SW165 T was performed using Illumina MiSeq sequencer using 2x 300 paired end V3 chemistry. The reads were assembled using Unicycler that builds an initial assembly graph from short reads using the de novo assembler SPAdes 3.11.1 39. The quality assessment for the assemblies was performed using QUAST5.0.2 40. Genome annotation was performed using Rapid Annotation using Subsystem Technology (RAST) server 41. The digital DNA-DNA hybridization (dDDH) was performed using Genome-to-Genome Distance Calculator (GGDC) web server ( http://ggdc.dsmz.de) to estimate the genomic similarity between strain SW165 T and the closest phylogenetic neighbor. Average nucleotide identity (ANI) between strain SW165 T and the closely related strains was also calculated using the OrthoANI software 42. Distribution of functional categories of strain SW165 T was compared to Olsenella species and was presented in a heatmap generated using Explicet version 2.10.5 43.
Results
Strain SW165 T was isolated from cecal contents of feral chicken in anaerobic chamber (Coy Laboratory Product, MI, USA). Colonies of SW165 T on BHI-M agar were 0.2–0.5 cm in diameter, appeared white, smooth, and umbonate with entire circular edges when grown at 37°C anaerobically after 48 hours of incubation. After cultivation, the colonies of this strain were subjected to identification by MALDI-TOF using a Microflex spectrometry (Bruker Daltonics, Bremen, Germany). MALDI-TOF did not identify the strain as the scores obtained were < 1.70. Thus, full length 16S rRNA gene was sequenced using Sanger sequencing method. The 16S rRNA of the strain SW165 T showed 96.33% identity with O. profusa DSM 13989 T (GenBank accession no. AF292374), the validly closest species within phylogenetical nomenclature ( Figure 1). The current cut off for species delineation from its nearest neighbor based on 16S rRNA is 98.7% 44. As the identity of 16S rRNA of strain SW165 T was lower than threshold, it was considered as a representative of putatively novel species within the genus Olsenella in the family Atopobiaceae. Phylogenetically, the strain was found to cluster together with other members of genus Olsenella, as shown in Figure 1, validating that SW165 T belongs to genus Olsenella taxonomically.
Figure 1. 16S rRNA based neighbor-joining tree of SW165 T and its neighbors.
Tree shows phylogenetic position of Olsenella lakotia DSM 107283 T and closely related species in the family Atopobiaceae. GenBank accession numbers of the 16S rRNA gene sequences are given in parentheses. Black circles indicate that the corresponding branches were also recovered both by maximum-likelihood and maximum parsimony methods. Bootstrap values (based on 1000 replications) greater than or equal to 70% are shown in percentages at each node. Bar, 0.01 substitutions per nucleotide position.
Phenotypic growth of strain SW165 T was observed on modified BHI-M agar after 2–3 days of incubation at temperature between 37°C and 45°C and pH between 6.0–7.0. The optimum temperature and pH for the growth were at 45°C and pH 7.0, respectively. Strain SW165 T grew only under anaerobic conditions, suggesting obligate anaerobic nature. Bacterial cells were Gram-stain-positive bacilli (0.5–2.0 µm), growing in pairs or as short chains and were non-motile ( Figure 2).
Figure 2. Scanning electron micrograph of O. lakotia SW165 T.
Cells were anaerobically cultured for 24 hours at 37 o C in BHI-M medium. Bar, 2 μm; uncropped/unedited image.
To further analyze the biochemical properties of the strain, we performed the carbon source utilization assay using BIOLOG AN microplate and compared it to closely related taxa. Strain SW165 T consumed various carbon sources for the growth, which differed from related strains in the utilization of D-fructose, L-fucose, D-galactose, maltose, D-melibiose and D-raffinose, and in the non-utilization of dulcitol. Based on enzymatic activity test, the strain produced several enzymes, including alkaline phosphatase, leucine arylamidase, cysteine arylamidase, α-galactosidase, β-galactosidase, β-glucuronidase, α-glucosidase, and β-glucosidase. Interestingly, alkaline phosphatase α-galactosidase, β-galactosidase and β-glucuronidase are not reported from its closest neighbors ( Table 1). Furthermore, the dominant cellular fatty acids of the strain SW165 T were saturated, including C 12 : 0 (25.5%) and C 14 : 0 (22.83%). Moreover, other dominant fatty acids were C 14 : 0 DMA (15.61%) and summed feature 1 [C 13:1 and/or C 14:0 aldehyde; 13.94%]. However, there were distinct quantities of some fatty acids between SW165 T and the relative strains ( Table 2). The major short chain fatty acids produced by SW165 when cultivated in BHI-M were acetic acid (3.74 mM) followed by propionic acid (0.53 mM).
Table 1. Characteristics of O. lakotia SW165 T and closely related strains.
Column headers show Strains designated in the following numbers: 1 - SW165 T; 2 - O. profusa DSM 13989 T; 3 - O. uli DSM 7084 T; 4 - O. umbonata DSM 22620 T; 5 - O. scatoligenes DSM 28304 T. Results for metabolic end products of SW165 are from this study with cells that were cultured for 3 days at 37°C in BHI-M. +, positive; -, negative; w, weak; ND, not determined.
Characteristic | 1 | 2 | 3 † | 4 † | 5 ‡ |
---|---|---|---|---|---|
Gram stain | + | + | + | + | + |
Growth at 37o C | + | + | + | + | + |
Motility | - | - | - | - | - |
Carbon source (BIOLOG AN) | |||||
Arbutin | + | + | ND | ND | ND |
D-Cellobiose | + | + | - | - | + |
Dextrin | + | + | ND | ND | ND |
D-Fructose | + | - | ND | ND | ND |
L-Fucose | + | - | ND | ND | ND |
D-Galactose | + | - | ND | ND | ND |
α-D-Glucose | + | + | ND | ND | ND |
Dulcitol | - | + | ND | ND | ND |
Maltose | + | - | - | + | ND |
D-Mannose | + | + | - | + | ND |
D-Melibiose | + | - | - | - | ND |
D-Raffinose | + | - | ND | ND | ND |
Salicin | + | + | - | - | + |
Sucrose | + | + | - | + | ND |
Turanose | + | + | ND | ND | ND |
Enzyme activity (API ZYM) | |||||
Alkaline phosphatase | + | - | + | - | ND |
Esterase (C 4) | - | - | + | + | - |
Leucine arylamidase | + | + | + | + | ND |
Cystine arylamidase | + | + | - | - | ND |
α-chymotrypsin | w | - | ND | ND | ND |
α-galactosidase | + | - | ND | ND | ND |
β-galactosidase | + | - | - | - | + |
β-glucuronidase | + | - | ND | ND | ND |
α-glucosidase | + | + | - | + | + |
β-glucosidase | + | + | + | - | + |
Short-chain fatty acid production | A | L, a, f | L, a, f | L, a, f | L, a, f |
DNA G+C content (mol%) | 67.59 | 64 | 64.7 | 64.9 | 62.1 |
Table 2. Cellular fatty acid compositions of O. lakotia SW165 T and related neighbors.
Strains: 1 - SW165 T; 2 - O. profusa DSM 13989 T; 3 - O. uli DSM 7084 T; 4- O. umbonata DSM 22620 T; 5- O. scatoligenes DSM 28304 T. Values are percentages of total fatty acids detected. Fatty acids with contents of less than 1% in all strains are not shown; ND, Not detected.
Fatty acid composition | 1 | 2 | 3 ‡ | 4 ‡ | 5 ‡ |
---|---|---|---|---|---|
Straight chain | |||||
C10 : 00 | 3.34 | ND | ND | ND | ND |
C12 : 00 | 25.5 | ND | 2.8 | ND | ND |
C14 : 00 | 22.83 | 9.94 | 1.3 | 31.6 | 25.9 |
C16 : 00 | 2.69 | 5.82 | 4.3 | 6.2 | 2.7 |
C16 : 0 aldehyde | 0.92 | 3.48 | ND | ND | ND |
Demethylacetal (DMA) | |||||
C12 : 0 DMA | 8.44 | ND | ND | ND | ND |
C14 : 0 DMA | 15.61 | 4.33 | ND | ND | ND |
C16 : 0 DMA | 1.21 | 13.97 | ND | ND | ND |
C18 : 0 DMA | 0.65 | 1.18 | ND | ND | ND |
Branched | |||||
C14 : 0 iso | ND | 22.34 | ND | ND | ND |
C13 : 0 anteiso | ND | 1.79 | ND | ND | ND |
C15 : 0 anteiso | ND | 14.48 | ND | ND | ND |
C15 : 0 anteiso DMA | ND | 5.17 | ND | ND | ND |
Unsaturated | |||||
C18 : 1 ω9 c | 1.82 | 3.9 | 69.8 | 20.7 | 25.7 |
C18 : 2 ω6,9 c | 0.89 | 2.03 | ND | ND | ND |
Summed Feature 1 | 13.94 | 2.15 | ND | 11.3 | 20.7 |
Summed Feature 13 | ND | 5.17 | ND | ND | ND |
‡Data from et al. (2015) 13
*Summed features are fatty acids that could not be separated using the MIDI System. Summed feature 1 contains C 13 : 1 and/or C 14 : 0 aldehyde. Summed feature 13 contains C 15 : 0 anteiso and/or C 14 : 0 2-OH.
We examined the genome of the strain SW165 T to investigate its differentiation from the neighbors. The genome size of strain SW165 T was 2,427,227 bp with 67.59 mol% G+C content. The draft genome was assembled into 33 contigs with 2,228 protein-coding sequences and 52 RNAs ( Table 3) and is visualized as Figure 3. The genomes sizes for the Olsenella species were comparable to one another except for O. urininfantis whose was only 1.75 Mbps. However, the G+C contents strain SW165 T and O. mediterranea were the highest but comparable to other neighboring Olsenella species ( Table 3). The genome of SW165 T possessed a total of 1, 230 genes with putative function and 998 genes as hypothetical proteins. Among 1,230 genes, 823 were classified as features in subsystem, following functional categories (COGs). Majority of categories included amino acid and derivatives (172 genes), carbohydrates (163 genes), and protein metabolism (132 genes) ( Extended data: Supplemental Table 1 45).
Table 3. General genome characteristic of O. lakotia SW165 T and its neighbors.
Species | Strain | Size
(Mbp) |
% G+C | CDSs | rRNA | tRNA | GenBank
accession number |
---|---|---|---|---|---|---|---|
O. lakotia SW165 T | DSM 107283 | 2.43 | 67.6 | 2228 | 3 | 49 | PRJNA545153 |
O. profusa | F0195 | 2.72 | 64.2 | 2610 | 3 | 48 | GCA_000468755.1 |
O. umbonata | DSM 22620 | 2.35 | 64.9 | 2060 | 12 | 57 | GCA_900105025.1 |
O. uli | DSM 7084 | 2.05 | 64.7 | 1772 | 3 | 49 | GCA_000143845.1 |
O. scatoligenes | SK9K4 | 2.47 | 62.4 | 2110 | 3 | 47 | GCA_001494635.1 |
O. urininfantis | Marseille-P3197 | 1.75 | 64.3 | 1558 | 7 | 48 | GCA_900155635.1 |
O. phocaeensis | Marseille-P2936 | 2.24 | 66.3 | 2190 | 3 | 50 | GCF_900120385.1 |
O. mediterranea | Marseille-P3256 | 2.37 | 67.6 | 2045 | 6 | 52 | GCA_900119385.1 |
Figure 3. Graphical circular map of O. lakotia SW165 T genome.
From outside to the center: coding sequences on the forward strand (CDS +), coding sequences on the reverse strand (CDS -), tRNAs, rRNAs, GC content, and GD skew.
Furthermore, we compared the genome of SW165 T to its neighbor using OrthoANI as shown in Figure 4. The genome of SW165 was only 73.41% identical to its nearest neighbor O. profusa DSM 13989 T. Also, the OrthoANI values for SW165 T and closely related strains ranged from 65.40 to 74.18 % ( Figure 4) indicating that the genome of SW165 T is unique compared to its neighbors. The proposed cut off for OrthoANI for the species delineation is 95-96% identity 46, 47. In addition, dDDH between SW165 T and the closest neighbor, O. profusa DSM 13989 T was only 17.6 ± 5.3. These values were lower than threshold of ANI and dDDH for delineating prokaryotic species, suggesting that these strains are distinct species. Also, the gene distribution into COGs was comparable in all eight compared Olsenella genomes ( Figure 5). Hence, the phenotypic and genetic discrepancy of the SW165 T with its close neighbor apparently supports that strain SW165 T represents a new species of the genus Olsenella.
Figure 4. Average nucleotide Identity comparison of O. lakotia SW165 T and closely related strains.
Heatmap represents OrthoANI values generated using OAT software between O. lakotia and related taxa with valid taxonomy.
Figure 5. Distribution of functional features of predicted coding sequences of O. lakotia SW165 T and its neighbors.
The functional features were predicted based on the clusters of orthologous groups. Heatmap was generated from genome annotation of individual species by RAST using Explicet software.
Discussion
Culturomics of the gut microbiota has evolved as a strong tool to increase the isolation of diverse previously uncultured bacteria from the gut 5, 48. The cultivation of the gut microbiota enables to improve the health through an enhanced understanding of their roles in the gut ecosystem and finally to the host. Thus, using the culturomics strategy, we were able to isolate previously uncultured bacterium SW165 T from cecal content of feral chicken and finally characterize and describe it using taxono-genomics as a novel microorganism.
The novelty of a prokaryotic organism is universally determined by the comparison of 16S rRNA gene sequence homology 49. The threshold values are used at distinct taxonomic levels 46. In this context, the newly discovered bacterium was initially validated using the full-length 16S rRNA gene sequences, which were thereafter used for taxonomic classification. Phylogenetic analysis of 16S rRNA gene showed that the novel strain SW165 T clustered with closely related taxa in the genus Olsenella within the family Atopobiaceae ( Figure 1). This genus composes of nine species, most of which are members of gut microbiota of humans and animals. However, O. uli is only a species that have been isolated from chicken gut 26. Remarkable, this study revealed a new member of Olsenella from gut microbiota of chicken.
Phenotypic analyses are performed to differentiate closely valid bacteria. Based on phenotypic tests, strains SW165 T appeared several distinct properties compared to other members of the genus Olsenella ( Table 1 and Table 2). The obvious distinct phenotypic features were observed in biochemical tests including enzymatic activity and carbon source utilization, thereby they might be important parameters for discriminating closely related species. These differences suggested the novelty of this microorganism belonging to Olsenella.
In addition to 16S based comparison, whole genome can be used for distinguishing, distinct bacteria. Recently, digital DNA-DNA hybridizations (dDDH) becomes a key measurement in delineation of prokaryotic species. It is an in-silico genome-to-genome comparison inferring whole genome distance to mimic DDH 50. Besides, Average Nucleotides Identification (ANI) is another particular tool that confirm the taxonomic delineation. It measures the overall similarity between two genome sequences 51. Recent publication of novel bacteria trend to perform genome-based analysis to support the results of 16S rRNA gene-based analysis. The strengths of genome-based analyses include comparison of all nucleotides in prokaryotic taxonomy and functional prediction 52. Based on genomic evidence, strain SW165 T showed low similarity in terms of OrthoANI with Olsenella species of the family Atopobiaceae ( Figure 4) . Further, genome features and distribution of predicted functional categories of strain SW165 T was corresponded to all other Olsenella species ( Figure 5 and Table 3). Thus, we proposed the strain SW165 T as a new species Olsenella lakotia SW165 T sp. nov., within the family Atopobiaceae.
Description of Olsenella lakotia SW165 T sp. nov.
O. lakotia sp. nov. (la.ko’tia N.L n. referring to native American tribe). Cells are strictly anaerobic, Gram-positive streptobacillus and non-motile. The average size of each cell is 0.5–2.0 µm. Colonies are visible on BHI-M agar after 2 days and are approximately 0.2–0.5 cm in diameter, cream-white, smooth, slightly umbonate with entire circular margin. The microorganism exhibits optimal growth in BHI-M medium at 45°C and pH 7.0. The strain utilizes arbutin, cellobiose, dextrin, D-fructose, L-fucose, D-galactose, α-D-glucose, maltose, D-mannose, D-melibiose, D-raffinose, salicin, sucrose and turanose as a carbon source. Positive enzymatic reactions are obtained for alkaline phosphatase, leucine arylamidase, cysteine arylamidase, α-galactosidase, β-galactosidase, β-glucuronidase, α-glucosidase and β-glucosidase. The volatile fatty acid produced by this strain is acetic acid. The primary cellular fatty acids are C 12 : 0, C 14 : 0, C 14 : 0 DMA and summed feature 1. The genome is 2,427,227 bp and its G+C is 67.59 mol%.
The type strain SW165 T (=DSM 107283 =CCOS 1887) was isolated from the cecum of feral chicken was deposited in the DSMZ and CCOS collections under accession numbers DSM 107283 and CCOS 1887 ( Extended data: Supplemental Data 1 53), respectively. The 16S rRNA and genome sequence are available in GenBank under accession numbers MK963074 and BioProject PRJNA545153, respectively.
Data availability
Underlying data
Olsenella sp. strain SW165 16S ribosomal RNA gene, partial sequence, Accession number MK963074: https://www.ncbi.nlm.nih.gov/nuccore/MK963074
Olsenella lakotia SW165 Genome sequencing and assembly, Accession number PRJNA545153: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA545153
Extended data
Figshare: Extended data; Supplemental Table 1 (Functional categories (COGs) from genome of strain SW165 T), https://doi.org/10.6084/m9.figshare.12793544.v1 45.
Figshare: Supplemental Data 1 (DSMZ and CCOS accession numbers of strain SW165 T), https://doi.org/10.6084/m9.figshare.12793610.v1 53.
Data are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).
Acknowledgements
SW gratefully acknowledges Science Achievement Scholarship of Thailand (SAST) for providing fellowship. The authors would like to thank Electron Microscopy Core Facility at the Bowling Green State University, Ohio, USA for assistance with scanning electron microscopy.
A previous version of this article was published on bioRxiv: https://doi.org/10.1101/670927
Funding Statement
This research project was supported by Mahidol University to SC and TJ, and was funded in part by the USDA National Institute of Food and Agriculture, Hatch projects SD00H532-14 and SD00R540-15, and a grant from the South Dakota Governor’s Office of Economic Development to JS.
[version 1; peer review: 2 approved]
References
- 1. Huang P, Zhang Y, Xiao K, et al. : The chicken gut metagenome and the modulatory effects of plant-derived benzylisoquinoline alkaloids. Microbiome. 2018;6(1):211. 10.1186/s40168-018-0590-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Shang Y, Kumar S, Oakley B, et al. : Chicken gut microbiota: importance and detection technology. Front Vet Sci. 2018;5:254. 10.3389/fvets.2018.00254 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Walker AW, Duncan SH, Louis P, et al. : Phylogeny, culturing, and metagenomics of the human gut microbiota. Trends Microbiol. 2014;22(5):267–74. 10.1016/j.tim.2014.03.001 [DOI] [PubMed] [Google Scholar]
- 4. Stewart EJ: Growing unculturable bacteria. J Bacteriol. 2012;194(16):4151–60. 10.1128/JB.00345-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Lagier JC, Khelaifia S, Alou MT, et al. : Culture of previously uncultured members of the human gut microbiota by culturomics. Nat Microbiol. 2016;1:16203. 10.1038/nmicrobiol.2016.203 [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
- 6. Rettedal EA, Gumpert H, Sommer MO: Cultivation-based multiplex phenotyping of human gut microbiota allows targeted recovery of previously uncultured bacteria. Nat Commun. 2014;5:4714. 10.1038/ncomms5714 [DOI] [PubMed] [Google Scholar]
- 7. Zou Y, Xue W, Luo G, et al. : 1,520 reference genomes from cultivated human gut bacteria enable functional microbiome analyses. Nat Biotechnol. 2019;37(2):179–85. 10.1038/s41587-018-0008-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Dewhirst FE, Paster BJ, Tzellas N, et al. : Characterization of novel human oral isolates and cloned 16S rDNA sequences that fall in the family Coriobacteriaceae: description of olsenella gen. nov., reclassification of Lactobacillus uli as Olsenella uli comb. nov. and description of Olsenella profusa sp. nov. Int J Syst Evol Microbiol. 2001;51(Pt 5):1797–804. 10.1099/00207713-51-5-1797 [DOI] [PubMed] [Google Scholar]
- 9. Zhi XY, Li WJ, Stackebrandt E: An update of the structure and 16S rRNA gene sequence-based definition of higher ranks of the class Actinobacteria, with the proposal of two new suborders and four new families and emended descriptions of the existing higher taxa. Int J Syst Evol Microbiol. 2009;59(Pt 3):589–608. 10.1099/ijs.0.65780-0 [DOI] [PubMed] [Google Scholar]
- 10. Kraatz M, Wallace RJ, Svensson L: Olsenella umbonata sp. nov., a microaerotolerant anaerobic lactic acid bacterium from the sheep rumen and pig jejunum, and emended descriptions of Olsenella, Olsenella uli and Olsenella profusa. Int J Syst Evol Microbiol. 2011;61(Pt 4):795–803. 10.1099/ijs.0.022954-0 [DOI] [PubMed] [Google Scholar]
- 11. Gupta RS, Chen WJ, Adeolu M, et al. : Molecular signatures for the class Coriobacteriia and its different clades; proposal for division of the class Coriobacteriia into the emended order Coriobacteriales, containing the emended family Coriobacteriaceae and Atopobiaceae fam. nov., and Eggerthellales ord. nov., containing the family Eggerthellaceae fam. nov. Int J Syst Evol Microbiol. 2013;63(Pt 9):3379–97. 10.1099/ijs.0.048371-0 [DOI] [PubMed] [Google Scholar]
- 12. Olsen I, Johnson JL, Moore LV, et al. : Lactobacillus uli sp. nov. and Lactobacillus rimae sp. nov. from the human gingival crevice and emended descriptions of Lactobacillus minutus and Streptococcus parvulus. Int J Syst Bacteriol. 1991;41(2):261–6. 10.1099/00207713-41-2-261 [DOI] [PubMed] [Google Scholar]
- 13. Li X, Jensen RL, Hojberg O, et al. : Olsenella scatoligenes sp. nov., a 3-methylindole- (skatole) and 4-methylphenol-( p-cresol) producing bacterium isolated from pig faeces. Int J Syst Evol Microbiol. 2015;65(Pt 4):1227–33. 10.1099/ijs.0.000083 [DOI] [PubMed] [Google Scholar]
- 14. Morand A, Chabrol B, Fournier PE: “ Olsenella urininfantis”, a new bacterial species isolated from a urine sample of a 26-day-old boy suffering from gastroesophageal reflux. Human Microbiome Journal. 2016;2:17–8. 10.1016/j.humic.2016.11.003 [DOI] [Google Scholar]
- 15. Bilen M, Cadoret F, Dubourg G, et al. : ' Olsenella congonensis' sp.nov., identified in human stool sample. New Microbes New Infect. 2017;19:132–3. 10.1016/j.nmni.2017.05.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Ricaboni D, Mailhe M, Vitton V, et al. : Olsenella provencensis sp. nov., Olsenella phocaeensis sp. nov., and Olsenella mediterranea sp. nov. isolated from the human colon. Human Microbiome Journal. 2017;4:22–3. 10.1016/j.humic.2017.05.002 [DOI] [Google Scholar]
- 17. Goker M, Held B, Lucas S, et al. : Complete genome sequence of Olsenella uli type strain (VPI D76D-27C). Stand Genomic Sci. 2010;3(1):76–84. 10.4056/sigs.1082860 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Munson MA, Banerjee A, Watson TF, et al. : Molecular analysis of the microflora associated with dental caries. J Clin Microbiol. 2004;42(7):3023–9. 10.1128/JCM.42.7.3023-3029.2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Bahrani-Mougeot FK, Paster BJ, Coleman S, et al. : Diverse and novel oral bacterial species in blood following dental procedures. J Clin Microbiol. 2008;46(6):2129–32. 10.1128/JCM.02004-07 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Krogius-Kurikka L, Kassinen A, Paulin L, et al. : Sequence analysis of percent G+C fraction libraries of human faecal bacterial DNA reveals a high number of Actinobacteria. BMC Microbiol. 2009;9:68. 10.1186/1471-2180-9-68 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Khachatryan ZA, Ktsoyan ZA, Manukyan GP, et al. : Predominant role of host genetics in controlling the composition of gut microbiota. PLoS One. 2008;3(8):e3064. 10.1371/journal.pone.0003064 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Hernandez JD, Scott PT, Shephard RW, et al. : The characterization of lactic acid producing bacteria from the rumen of dairy cattle grazing on improved pasture supplemented with wheat and barley grain. J Appl Microbiol. 2008;104(6):1754–63. 10.1111/j.1365-2672.2007.03696.x [DOI] [PubMed] [Google Scholar]
- 23. Leser TD, Amenuvor JZ, Jensen TK, et al. : Culture-independent analysis of gut bacteria: the pig gastrointestinal tract microbiota revisited. Appl Environ Microbiol. 2002;68(2):673–90. 10.1128/aem.68.2.673-690.2002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Weiss A, Jerome V, Freitag R, et al. : Diversity of the resident microbiota in a thermophilic municipal biogas plant. Appl Microbiol Biotechnol. 2008;81(1):163–73. 10.1007/s00253-008-1717-6 [DOI] [PubMed] [Google Scholar]
- 25. Ferrario C, Alessandri G, Mancabelli L, et al. : Untangling the cecal microbiota of feral chickens by culturomic and metagenomic analyses. Environ Microbiol. 2017;19(11):4771–83. 10.1111/1462-2920.13943 [DOI] [PubMed] [Google Scholar]
- 26. Medvecky M, Cejkova D, Polansky O, et al. : Whole genome sequencing and function prediction of 133 gut anaerobes isolated from chicken caecum in pure cultures. BMC Genomics. 2018;19(1):561. 10.1186/s12864-018-4959-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Fournier PE, Drancourt M: New Microbes New Infections promotes modern prokaryotic taxonomy: a new section "TaxonoGenomics: new genomes of microorganisms in humans". New Microbes New Infect. 2015;7:48–9. 10.1016/j.nmni.2015.06.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Patil PP, Kumar S, Midha S, et al. : Taxonogenomics reveal multiple novel genomospecies associated with clinical isolates of Stenotrophomonas maltophilia. Microb Genom. 2018;4(8):e000207. 10.1099/mgen.0.000207 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Shields P, Cathcart L: Motility test medium protocol. American Society for Microbiology. 2011. Reference Source [Google Scholar]
- 30. Sasser M: Identification of bacteria by gas chromatography of cellular fatty acids. MIDI Technical Note 101 Newark, DE: MIDI Inc.1990. Reference Source [Google Scholar]
- 31. Lane DJ: 16S/23S rRNA. Sequencing. In: Stackebrandt E and Goodfellow M, Nucleic Acid Techniques in Bacterial Systematic.John Wiley and Sons, New York.1991. Reference Source [Google Scholar]
- 32. Stackebrandt E, Liesack W: Nucleic acids and classification. In: Goodfellow M and O'Donnell AG (ed.), Handbook of new bacterial systematics.Academic Press, London, England.1993. Reference Source [Google Scholar]
- 33. Kim OS, Cho YJ, Lee K, et al. : Introducing EzTaxon-e: a prokaryotic 16S rRNA gene sequence database with phylotypes that represent uncultured species. Int J Syst Evol Microbiol. 2012;62(Pt 3):716–21. 10.1099/ijs.0.038075-0 [DOI] [PubMed] [Google Scholar]
- 34. Kumar S, Stecher G, Tamura K: MEGA7: Molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol. 2016;33(7):1870–4. 10.1093/molbev/msw054 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Thompson JD, Higgins DG, Gibson TJ: CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res. 1994;22(22):4673–80. 10.1093/nar/22.22.4673 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Felsenstein J: Evolutionary trees from DNA sequences: a maximum likelihood approach. J Mol Evol. 1981;17(6):368–76. 10.1007/BF01734359 [DOI] [PubMed] [Google Scholar]
- 37. Fitch WM: Toward defining the course of evolution: minimum change for a specific tree topology. Systematic Zoology. 1971;20(4):406–16. 10.2307/2412116 [DOI] [Google Scholar]
- 38. Saitou N, Nei M: The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987;4(4):406–25. 10.1093/oxfordjournals.molbev.a040454 [DOI] [PubMed] [Google Scholar]
- 39. Wick RR, Judd LM, Gorrie CL, et al. : Unicycler: resolving bacterial genome assemblies from short and long sequencing reads. PLoS Comput Biol. 2017;13(6):e1005595. 10.1371/journal.pcbi.1005595 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Gurevich A, Saveliev V, Vyahhi N, et al. : QUAST: quality assessment tool for genome assemblies. Bioinformatics. 2013;29(8):1072–5. 10.1093/bioinformatics/btt086 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Aziz RK, Bartels D, Best AA, et al. : The RAST Server: rapid annotations using subsystems technology. BMC Genomics. 2008;9:75. 10.1186/1471-2164-9-75 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Goris J, Konstantinidis KT, Klappenbach JA, et al. : DNA-DNA hybridization values and their relationship to whole-genome sequence similarities. Int J Syst Evol Microbiol. 2007;57(Pt 1):81–91. 10.1099/ijs.0.64483-0 [DOI] [PubMed] [Google Scholar]
- 43. Robertson CE, Harris JK, Wagner BD, et al. : Explicet: graphical user interface software for metadata-driven management, analysis and visualization of microbiome data. Bioinformatics. 2013;29(23):3100–1. 10.1093/bioinformatics/btt526 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Stackebrandt E, Ebers J: Taxonomic parameters revisited: tarnished gold standards. Microbiology Today. 2006;33:152–5. Reference Source [Google Scholar]
- 45. Wongkuna S, Ghimire S, Janvilisri T, et al. : Extended data. figshare.Dataset.2020. 10.6084/m9.figshare.12793544.v1 [DOI] [Google Scholar]
- 46. Kim M, Oh HS, Park SC, et al. : Towards a taxonomic coherence between average nucleotide identity and 16S rRNA gene sequence similarity for species demarcation of prokaryotes. Int J Syst Evol Microbiol. 2014;64(Pt 2):346–51. 10.1099/ijs.0.059774-0 [DOI] [PubMed] [Google Scholar]
- 47. Lee I, Ouk Kim Y, Park SC, et al. : OrthoANI: An improved algorithm and software for calculating average nucleotide identity. Int J Syst Evol Microbiol. 2016;66(2):1100–3. 10.1099/ijsem.0.000760 [DOI] [PubMed] [Google Scholar]
- 48. Browne HP, Forster SC, Anonye BO, et al. : Culturing of 'unculturable' human microbiota reveals novel taxa and extensive sporulation. Nature. 2016;533(7604):543–6. 10.1038/nature17645 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Clarridge JE, 3rd: Impact of 16S rRNA gene sequence analysis for identification of bacteria on clinical microbiology and infectious diseases. Clin Microbiol Rev. 2004;17(4):840–62. 10.1128/CMR.17.4.840-862.2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Auch AF, von Jan M, Klenk HP, et al. : Digital DNA-DNA hybridization for microbial species delineation by means of genome-to-genome sequence comparison. Stand Genomic Sci. 2010;2(1):117–34. 10.4056/sigs.531120 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Figueras MJ, Beaz-Hidalgo R, Hossain MJ, et al. : Taxonomic affiliation of new genomes should be verified using average nucleotide identity and multilocus phylogenetic analysis. Genome Announc. 2014;2(6):e00927–14. 10.1128/genomeA.00927-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Konstantinidis KT, Tiedje JM: Genomic insights that advance the species definition for prokaryotes. Proc Natl Acad Sci U S A. 2005;102(7):2567–72. 10.1073/pnas.0409727102 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Wongkuna S, Ghimire S, Janvilisri T, et al. : Supplementary Data 1. figshare.Dataset.2020. 10.6084/m9.figshare.12793610.v1 [DOI] [Google Scholar]