Abstract
Using the culturomics approach, we isolated a new Streptococcus species, strain C17T, from the oropharynx mucosa sample of a healthy 5-year-old child living in Shenyang, China. We studied the phenotypic, phylogenetic, and genomic characteristics of strain C17T, which was identified as a Gram-positive, coccus-shaped, non-motile, aerobic, catalase-negative bacteria. Its growth temperatures ranged from 20 to 42 °C, with optimal growth at 37 °C. Acid production could be inhibited by two sugars, trehalose and raffinose. In C17T, the reactions for enzyme lipase (C14) were confirmed to be negative, whereas those for alkaline phosphatase, α-glucosidase, and hippuric acid hydrolysis were positive. The C17T genome contained 2,189,419 base pairs (bp), with an average G+C content of 39.95%, encoding 2092 genes in total. The 16S ribosomal RNA sequence showed 99.8% similarity with the newly identified Streptococcus pseudopneumoniae ATCC BAA-960T. The main fatty acid components in C17T were C16:0, C18:1 w7c, C18:0, and C18:1 w9c, all of which can be found in other species of the Streptococcus genus. Strain C17T showed high susceptibility to clindamycin, linezolid, vancomycin, chloramphenicol, and cefepime, and moderate susceptibility to erythromycin. The obtained dDDH value between strain C17T and the closest species was 52.9%. In addition, the whole genome sequence of strain C17T had an 82.21–93.40% average nucleotide identity (ANI) with those strains of closely related Streptococcus species, indicating that the strain C17T was unique among all Streptococcus species. Based on these characteristics, we determine that C17T is a novel species, named Streptococcus symci sp. nov. (= GDMCC 1.1633 = JCM 33582).
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Introduction
As an important part of the salivary microbiome, Streptococcus comprises 107 officially identified species (https://lpsn.dsmz.de/genus/streptococcus), which have been divided into six different groups according to 16S ribosomal RNA (rRNA) sequence results (anginosus, bovis, mitis, mutans, pyogenic, and salivarius) (http://www.bacterio.net/) (Kawamura et al. 1995). Many Streptococcus mitis strains are highly virulent, which result in various pathologies, such as meningitis, endocarditis, and pneumonia, by invading the normal microbial community of low pathogenic commensal species (Ricaboni et al. 2017). In a previous study, four antagonistic Streptococcus strains isolated from oropharyngeal microbiota were found to have bacteriostatic effects on pathogens and were involved in pharyngeal microbiome homeostasis (Li et al. 2019). The pathogenic and commensal species isolated from the upper respiratory tract of healthy people exhibited similar morphology on culture medium and were distinguished correctly and rapidly, especially species sharing a 16S rRNA sequence identity greater than 98.7%. This is of great significance for screening probiotics and monitoring disease epidemiology for clinical applications (Arbique et al. 2004). Therefore, it is necessary to use more accurate and rapid methods for their identification. Generally, the methods that are typically used include high-throughput screening together with matrix-assisted laser desorption/ionization-time of flight or 16S rRNA sequencing to identify isolated colonies in order to study the microbial community (Bittar et al. 2014). Several different housekeeping genes have been amplified for analysis, including sodA (Poyart et al. 1998), rpoB (Tapp et al. 2003), and groEL (Glazunova et al. 2009), which are recognized as the classification criteria for determining novel Streptococcus species (Okamoto et al. 2015; Vela et al. 2015; Vela et al. 2016). DNA-DNA hybridization (DDH) is a key criterion for the identification of new species (Auch et al. 2010). Average nucleotide identity (ANI) exhibits a strong correlation with DNA-DNA hybridization (DDH) values, with an ANI value ≥ 95% corresponding to the traditional 70% DDH threshold.
In this study, we analyzed the characteristics of a novel species by using a series of cultivation and genetic manipulations (Ramasamy et al. 2014) including phenotype identification, housekeeping gene sequencing, phylogenetic analysis, genome sequencing and annotation, fatty acid methylester analysis, and the antibiotic susceptibility test. This novel Streptococcus species was verified and named Streptococcus symci C17T (= GDMCC 1.1633 = JCM 33582).
Materials and methods
Sample collection and strain isolation
In this study, pharyngeal swabs were used to collect bacterial samples. Strain C17T was isolated from the oropharynx mucosa sample of a healthy 5-year-old child living in Shenyang, China in December 2015. After sample collection, the pharyngeal swab was immediately preserved in a 4 °C transport medium, sent to the laboratory, and stored at − 80 °C. The bacterial samples obtained were dissolved in 1 mL brain heart infusion (BHI) broth (bioMérieux, Craponne, France) and subsequently diluted to 1 L for further experiments. Approximately 200 μL of the sample mixture was spread onto Columbia agar (bioMérieux) supplemented with 5% (vv) defibrinated sheep blood (Solarbio, Beijing, China) and incubated at 37 °C aerobically in 5% CO2 for 24 h. Circular single colonies surrounded by a zone of α-hemolysis were picked from the plates using an inoculation needle, re-streaked on Columbia blood agar, and incubated at 37 °C for another 24 h. Separate colonies were chosen from the plate and cultured in liquid medium until subsequent use.
Strain identification and gene sequencing of 16S rRNA, groEL, rpoB, and sodA
Genomic DNA was isolated from the bacterial colonies using the Wizard Genomic DNA Purification Kit (Promega, Madison, WI, USA), and 16S rRNA gene sequencing was conducted using the protocol described by Delgado et al. (2006) and Jin et al. (2013). The universal eubacterial primers 27F/1492R (27F:5′ - agagtttgatcmtggctcag -3′ and 1492R:5′ - ggytaccttgttacgactt -3′) were applied during PCR analysis using the Gene Amp PCR System 3730 Thermal Cycler (ABI, Vernon, CA, USA), as previously described (Drancourt et al. 2000). A nucleotide basic local alignment search tool (BLASTn) analysis (Altschul et al. 1990) was performed and aligned within the national center for biotechnology information (NCBI) database. Gene alignment results indicated that the strain belonged to the Streptococcus genus. The groEL, rpoB, and sodA genes of strain C17T were amplified using the primer pairs streptogroELd/streptogroELr, 1730_F/3700_R, and d1/d2, respectively, as previously described (Drancourt et al. 2004; Glazunova et al. 2009; Poyart et al. 2002). Subsequently, BLAST analysis of these three genes was performed using default NCBI parameters.
Phylogenetic analysis
The genome sequences of the Streptococcus genus were obtained from the database list of prokaryotic names with standing in nomenclature (http://www.bacterio.net/streptococcus.html). The taxon of Streptococcus is based on Bergey’s Manual of Systematics of Archaea and Bacteria. The 16S rRNA genes of the new Streptococcus isolates were sequenced, aligned with those of other species of Streptococcus strains and related taxa. Phylogenetic trees were constructed and genetic distances were calculated using NCBI analysis (https://www.ncbi.nlm.nih.gov/nucleotide/), which was used for the sequence download of phylogenetically closest species. The sequences of groEL, rpoB, and sodA from the closest species with standing in nomenclature were directly downloaded from the NCBI after BLASTn analysis. The phylogenetic tree in this study was reconstructed with concatenated groEL, soda, and rpoB sequences of strain C17T and other closely related species. Alignment was performed using MEGA X software (Tamura et al. 2013; Kumar et al. 2018). The neighbor-joining method was applied for phylogenetic inference generation. Bootstrap analysis (1000 replications) was performed to assess the reliability of the nodes.
Morphologic observation and optimal growth conditions
After 24 h of incubation, the bacterial cells were Gram-stained and observed using a Leica DM 500 photonic microscope (Leica Microsystems, Nanterre Cedex, France) with a 100 × oil immersion lens. Cell morphology was determined using a scanning electron microscope (Hitachi, Tokyo, Japan) set to the following conditions: accelerating voltage 30,000 V, magnification 7000, working distance 6700 μm, and emission current 112,000 nA. Cell motility was evaluated on soft agar plates (Xu et al. 2013). To determine the optimal culture conditions, several culture conditions were tested for strain C17T. Culture assays were performed on Columbia agar supplemented with 5% defibrinated sheep blood (bioMerieux) at temperatures ranging from 4 to 45 °C (4 °C, 15 °C, 20 °C, 22 °C, 25 °C, 30 °C, 35 °C, 37 °C, 42 °C and 45 °C). The salt tolerance of strain C17T was tested at various NaCl concentrations (1.5%, 2.0%, 2.5%, 3.0%, 3.5%, 4.5% and 6.5%). The oxygen demand was tested under aerobic, anaerobic, and microaerophilic (GENbag; BioMerieux) conditions. Different pH values (from 4.0 to 10.0) were also tested. Hemolytic activity was observed on Columbia blood agar plates. Catalase assays (bioMerieux) were performed following standard protocols. The oxidase reaction was assessed using the Becton Dickinson oxidase reagent (Becton Dickinson, Franklin Lakes, NJ, USA).
Biochemical and fatty acid methylester analysis and antibiotic susceptibility test
Biochemical analysis
The identification of API 50CH, API20 NE, and API ZYM (bioMerieux) was used to distinguish Bacilli, Enterococcus, and adjacent Streptococcus strains with a positive enzyme test, and the experiments were carried out according to standard instructions.
Fatty acid analysis
Each tube of samples was prepared using approximately 30 mg of bacterial biomass harvested from several Columbia agar plates supplemented with 5% sheep blood. Cellular fatty acids were then extracted, modified, and analyzed according to the standard protocol, using gas chromatography (Agilent 7890; Agilent Technologies, Santa Clara, CA, USA) coupled with the Sherlock Microbial Identification System Version 6.3 (MIDI Inc., Newark, DE, USA).
Antibiotic susceptibility testing
The antibiotic susceptibility of strain C17T was tested on antibiotic-sensitive paper (OXOID) using disk diffusion assays following the Clinical Laboratory Standards Institute 2018 recommendations. The antibiotics used in this study were as follows: clindamycin, 2 μg/mL; linezolid, 30 μg/mL; chloramphenicol, 30 μg/mL; erythromycin, 15 μg/mL; cefepime, 30 μg/mL; vancomycin, 30 μg/mL; ampicillin, 10 μg/mL; ceftriaxone, 30 μg/mL; and cefotaxime, 30 μg/mL.
Genomic DNA extraction, genome sequencing, and assembly
Genomic DNA was extracted using the EZ1 DNA Tissue Kit (Qiagen, Hilden, Germany) according to the standard protocol. The DNA obtained was validated using gel electrophoresis and quantified using a Qubit® 2.0 Fluorometer (Thermo Fisher Scientific, Waltham, MA, USA). Approximately 1 μg of total DNA from each sample was used for sequencing. Libraries for sequencing were constructed using the NEBNext® Ultra™ DNA Library Prep Kit for Illumina (New England Biolabs, Ipswich, MA, USA) following standard recommendations, and index codes were included to attribute sequences to each sample. Each DNA sample was fragmented by sonication to an average size of 350 base pairs (bp). The fragments obtained were end-polished and A-tailed and then ligated with the adapter for further PCR amplification. Illumina PCR adapter reads and low-quality reads were discarded after the quality control step using their compilation pipeline. All paired-end reads with good quality were assembled using the SOAP denovo online software (Li et al. 2008; Li et al. 2010) (http://soap.genomics.org.cn/soapdenovo.html) into different DNA contigs that were handled by the next step for gap closing. PCR products were purified (AMPure XP PCR purification system; Beckman Coulter, Brea, CA, USA), and libraries for size distribution were analyzed with the Agilent 2100 Bioanalyzer and quantified using quantitative PCR. The genome of C17T was sequenced using the Illumina NovaSeq PE150 facility (Illumina Inc., San Diego, CA, USA) at the Beijing Novogene Bioinformatics Technology Co., Ltd. (Beijing, China). Raw data were further processed in four steps: discarding the reads of low-quality (≤ Q20) bases and N-base to reach a certain proportion of reads (default is 10%); discarding the reads whose overlap with adapter exceeded a certain threshold value (default value is 15 bp) and mismatch number < 3; and removing adapter and duplication contamination. Finally, 100 × coverage of reads was obtained with clean paired-end read data. The genome size was estimated using k-mer statistical analysis before assembly. Data were assembled with SOAP denovo (version 2.04) and validated with SPAdes (Bankevich et al. 2012) and ABySS (Simpson et al. 2009) assemblers. Finally, the software CISA (Lin and Liao. 2013) was used for integration. Gap close (version 1.12) software was used to optimize and mend the initial assembly results to obtain the final assembly results. Fragments below 500 bp were filtered out.
Genome annotation and analysis
For the final assembled results of each sample to be ≥ 500 bp, open reading frames were annotated using Prodigal with standard settings (http://prodigal.ornl. gov/) (Hyatt et al. 2010). The GeneMarkS program (Besemer et al. 2001) (http://topaz.gatech.edu/genemark/) was used to predict the coding region of the newly sequenced genome. Transfer RNA (tRNA), rRNA, and small nuclear RNA genes were analyzed using tRNAscan-SE (Lowe and Eddy 1997), rRNAmmer (Lagesen et al. 2007), and Pfam (Gardner et al. 2009; Nawrocki et al. 2009) databases. The interspersed repetitive sequences were analyzed using Repeat Masker (Saha et al. 2008) (http://www.repeatmasker.org/). Tandem repeats were analyzed using a tandem repeats finder (Benson 1999). The Island Path-DIOMB program (Hsiao et al. 2003) and transposon PSI were used to predict the genomic islands and transposons based on the homologous BLAST method. Prophage prediction was carried out by PHAST9 (Zhou et al. 2011) (http://phast.wishartlab.com/), and clustered regularly interspaced short palindromic repeat sequences (CRISPRs) were identified using CRISPR Finder (Grissa et al. 2007). The basic steps of the annotation function are listed below: The predicted protein sequence was compared with each functional database using diamond (e-value ≤ 1e-5). To filter the comparison results, the results with the highest scores (default identity ≥ 40%, coverage ≥ 40%) were selected for annotation. The bacterial proteome was predicted using the gene prediction program GeneMarkS (version 4.28) together with clusters of orthologous groups (COGs) database. The Pfam (El-Gebali et al. 2019) database was used to analyze protein function by identification of PFAM-A and PFAM-B domains using the hhmscan tool. The secreted proteins were predicted using the Signal P database (Petersen et al. 2011), and the prediction of Type I–VII proteins secreted by the pathogenic bacteria was based on the Effective eT3 software (Eichinger et al. 2016). Meanwhile, the secondary metabolism gene clusters were analyzed using antiSMASH (Medema et al. 2011). To further confirm the novelty of strain C17T, the genome-to-genome distance calculator 2.1 (GGDC) was applied to calculate the digital DDH (dDDH), which was estimated with confidence intervals under the recommended settings (Formula 2, http://ggdc.dsmz.de/distcalc2.php).We also measured the overall similarity among compared genomes by using Orthologous Average Nucleotide Identity Tool ( Lee et al. 2015).
Results
Phylogenetic analysis
A comparative analysis of the 16S rRNA of strain C17T showed a sequence identity of 99.8% with S. pseudopneumoniae strain ATCC BAA-960T (GenBank Accession No. AY612844), 99.6% with S. pneumoniae NCTC 7465T, and 99.4% with S. mitis ATCC 494565T, which were the phylogenetically closest species with standing in nomenclature (Fig. 1). The concatenated comparison of sequenced gro EL, rpoB, and sodA indicated that strain C17T and S. mitis were in the same branch of the evolutionary tree and had the most recent evolutionary relationship of all the species of Streptococcus. This result also revealed that the taxon represented by strain C17T was readily distinguished from its nearest neighbors S. pseudopneumoniae strain ATCC BAA-960T and S. pneumoniae NCTC 7465T (Fig. 2). The 16S rRNA sequence of strain C17T was deposited in the GenBank with the accession number MN068913.1.
The phylogenetic tree shows the distance between S. symci strain C17T and other Streptococcus strains. The Gen Bank accession number of each strain is displayed in brackets. Sequences were aligned using ClustalW with standard parameters. Phylogenetic inferences were generated using MEGAX software following the neighbor-joining method with 1000 bootstrap replicates and rooted using E. faecalis JCM (AB012212) as the out group. The scale bar represents 1% nucleotide sequence divergence
groEL, rpoB, and sodA-based phylogenetic tree showing the position of S. symci strain C17T relative to other Streptococcus strains. The Gen Bank accession numbers of the strains are shown in brackets. Sequences were aligned using ClustalW with default parameters. Phylogenetic inferences were obtained using MEGAX software following the neighbor-joining method with 1000 bootstrap replicates. The scale bar represents 1% nucleotide sequence divergence
Phenotypic characteristics and biochemical features
Grass-green, α-hemolytic colonies of strain C17T were observed on 5% sheep’s blood-enriched Columbia agar (bioMérieux) after 24 h of incubation under aerobic conditions. Cells were confirmed to be Gram-positive using classical staining (Fig. 3a) and cells with a mean diameter of 5 μm (range, 4–8 μm) and non-spore-forming rods (Fig. 3b) were observed using scanning electron microscopy. The motility assay on soft agar plates revealed the cells were non-motile. C17T displayed a wide range of pH adaptability after a growth test at different pH values (4.0, 4.5, 5.0, 5.5, 6.0, 6.5, 7.0, 7.5, 8.0, 8.5, 9.0, 9.5 and 10.0). To determine salt-tolerance ability, the growth of C17T was observed in up to 2.5% NaCl. The growth of strain C17T was also observed from 20 to 42 °C under anaerobic, microaerophilic, and aerobic conditions. However, no growth was observed at 4 °C, 15 °C, or 45 °C, and the optimal growth was found at 37 °C under aerobic conditions. Catalase and oxidase activity tests were negative. The identification and general characteristics of strain C17T are summarized in Table 1.
Strain C17T could be easily distinguished from the nearest phylogenetic neighbors by its specific features, and the biochemical profile of this novel species could also be differentiated from those of closely related species (Table 2), including 16S rRNA gene similarity, lack of acid production from trehalose and raffinose, negative reactions for lipase (C14), and positive reactions for alkaline phosphatase, α-glucosidase, and hippuric acid hydrolysis. Using the API® 20A strip (bioMérieux), positive reactions were only observed for hippuric acid hydrolysis, leucyl-aminopeptidase, and D-lactose fermentation. Negative reactions were observed for the following tests: acid production from starch, esculin hydrolysis, glycogen hydrolysis, pyrrolidinyl arylamidase, Voges-Proskauer reaction, α-galactosidase, β-galactosidase, β-glucuronidase, arginine hydrolase, and fermentation of D-ribose, L-arabinose, D-mannitol, D-raffinose, D-sorbitol, D-trehalose, L-arabinose, and inulin.
Using the API® ZYM strip (bioMérieux), positive reactions were observed as follows: alkaline phosphatase, esterase lipase (C8), trypsin, α-fucosidase, α-glucosidase, α-mannosidase, β-galactosidase, β-glucuronidase, β-glucosidase, N-acetyl-β-glucosaminidase, and cystine arylamidase. Negative reactions were observed as follows: acid phosphatase, arylamidase, esterase (C4), leucine arylamidase, lipase (C14), valine, α-chymotrypsin, α-galactosidase, and naphthol-AS-BI-phosphohydrolase. Using the API® 50CH strip (bioMérieux), positive reactions were observed as follows: D-galactose, D-fructose, D-glucose, D-lactose, D-maltose, D-mannose, D-Sucrose, and N-acetylglucosamine. Negative reactions were observed as follows: D-adonitol, D-arabinose, D-arabitol, D-cellobiose, D-fucose, D-lyxose, D-mannitol, D-melibiose, D-melezitose, D-raffinose, D-ribose, D-saccharose, D-sorbitol, D-tagatose, D-trehalose, D-turanose, D-xylose, methyl-α-D-glucopyranoside, methyl-α-D-mannopyranoside, methyl- βD-xylopyranoside, amidone, amygdalin, arbutin, dulcitol, erythritol, esculin, gentiobiose, glycerol, glycogen, inositol, salicin, xylitol, L-arabinose, L-arabitol, L-fructose, L-rhamnose, L-sorbose, L-xylose, potassium gluconate, potassium 2-ketogluconate, potassium, and 5-ketogluconate.
The main fatty acid components identified from strain C17T were hexadecanoic acid (C16:0, 24.31%), 9-octadecenoic acid (C18:1 n9, 13.25%), branched fatty acids (C18:1 n7/C18:1 n6, 13.16%), and octadecanoic acid (C18:0, 12.39%), which could also be detected in closely related Streptococcus species. 11-Hexadecenoic acid (C16:1 n5, 1.42%) was detected in the isolated C17T strain rather than in other types of closely related species. A complete fatty acid analysis report of C17T and other related species of the family Streptococcaceae are summarized in Table 3.
In the antibiotic susceptibility test, strain C17T was shown to be susceptible to clindamycin, linezolid, vancomycin, chloramphenicol, and cefepime, and the susceptibility of C17T to erythromycin was determined to be moderate. C17T was resistant to ceftriaxone, ampicillin, and cefotaxime.
Genomic properties
The draft genome size of strain C17T was 2,189,419 bp with a G+C content of 39.95% (Table 4, Fig. 4). It contained eight contigs covering 2092 predicted genes in total. Among these genes, 2057 were protein-coding genes, and 43 were genes coding for RNAs (including one 5S rRNA and 42 tRNA genes). A total of 340 genes were annotated as hypothetical proteins (16.53%). A total of 1782 genes (85.18%) were assigned to COGs, 201 of which were associated with virulence (9.61%). To search for potential secondary metabolite biosynthetic gene clusters (BGCs) in C17T, the genome sequence was unloaded to the antiSMASH program (version 2.0.2) for detailed screening. Only one BGC that was annotated as a bacteriocin was found in C17T. Meanwhile, eight CRISPR repeats were identified in the whole genome. Among the 25 general COG functional categories, five were not assigned to eight closely related species, including RNA processing and modification, chromatin structure and dynamics, nuclear structure, and cytoskeleton. Eight COG functional categories were grouped with more associated genes in C17T than other closely related strains. The detailed distribution of genes was as follows: translation, 164 genes; amino acid transport and metabolism, 161 genes; cell wall/membrane biogenesis, 121 genes; nucleotide transport and metabolism, 73 genes; posttranslational modification, protein turnover, and chaperons, 71 genes; signal transduction mechanism, 56 genes; energy production and conversion, 52 genes. The genome statistics are presented in Table 4, and the gene distribution into COG functional categories is summarized in Table 5.
The genome graphical circular map of S. symci C17T. The outermost circle is the position coordinate of the genomic sequence. From outer to inner: coding DNA sequences on the forward strand (the outer chain), coding DNA sequences on the reverse strand (the inner chain), COG category of genes on the forward strand (the positive chain by the outer circle); COG category of genes on the reverse strand (the negative chain by the inner circle); genome GC content (inward red part indicates that the GC content in this area is lower than the whole genome average GC content, the outward green part is opposite), genomic GC skew value (pink part indicates that the area G content is lower than C Content, the outward light green part is opposite). (Color figure online)
Genomic comparative analysis between C17T and closely related species
To calculate the dDDH between C17T and other available species that are phylogenetically closest (Table 6), the GGDC online formula 2 calculator was used for detailed comparative analysis. Strain C17T displayed dDDH values of 47.20, 52.90, 30.90, 44.90, and 26.20 for S. pseudopneumoniae ATCC BAA-960T, S. mitis ATCC 49456T, S. oralis ATCC 35037T, S. pneumoniae NCTC 7465T, and S. infantis ATCC 15192T, respectively. These dDDH values were lower than the threshold value of 70% for species demarcation. The pair-wise ANI values between strain C17T and the type strain of other Streptococcus species were 91.99%, 93.40%, 85.90%, 91.42% and 82.21% respectively, thereby indicating that the newly isolated strain is representative of a new Streptococcus species. The distribution of the predicted genes of S. symci C17T to different COG functional categories is summarized in Fig. 5.
Discussion
Recognized as an important part of commensal microbiota in humans, Streptococcus species are widely distributed in all parts of the human body, especially the mouth, skin, intestine, and upper respiratory tract. They are responsible for many types of diseases, including meningitis, pneumonia, and erysipelas (Krzysciak et al. 2013). However, many Streptococcus species are nonpathogenic symbionts. Here, we isolated a Streptococcus strain C17T from the oropharynx mucosa sample of a healthy 5-year-old child. Phenotypic and biochemical feature identification, phylogenetic analysis, and genome annotation were performed. The results indicated that C17T was a new species of the Streptococcus genus.
Set as a key criterion, a 70% threshold of dDDH value has been adopted to delimitate a species (Auch et al. 2010; Meier-Kolthoff et al. 2013; Wayne 1988). The dDDH values of C17T with other adjacent strains calculated by GGDC (online formula 2 calculator) were all less than 70%. Among all the comparative analyses, the dDDH for estimating the genomic distance between strain C17T and the nearest S. pseudopneumoniae (16S rRNA closest species with standing in nomenclature) was 47.2%, while the value for estimating C17T compared with S.mitis (Gro EL, rpoB, and sodA genes) was 52.9%. For the comparative analysis of C17T with other Streptococcus species, the dDDH values were even lower, 30.9% for S. oralis ATCC35037T, 44.90% for S. pneumoniae NCTC7465T, and 26.20 for S. infantis ATCC15192T (Table 6).The genome sequence of strain C17T had 82.21–93.40% ANI with type strains of other Streptococcus species (Table 7), which are below the ≥ 95% ANI cut-off to define a bacterial species (Richter and Rossello-Mora 2009). Thus, the results of genome distance analysis provide strong evidence supporting the identification of S. symci C17T as a new Streptococcus species. The results of phenotype analysis obtained through API strips indicated that strain C17T possessed unique profiles of enzyme spectra and sugar utilization for fermentation, compared with other closely related species (Table 2). The biochemical features of other neighboring strains were consistent with those reported in the literature (Huch et al. 2013). The fatty acid composition of C17T was also clearly distinct from other closely related species, indicating the unique metabolome profile of C17T. 16S rRNA can only be used for strain identification for classification up to the genus level; thus, among all Streptococcus species, the similarity of C17T to other Streptococcus species with highly homologous 16S rRNA was a common feature (Fig. 1). Meanwhile, the gene comparison analysis of concatenated groEL, rpoB, and sodA demonstrated high sequence identity with the closest S.mitis strain ATCC 49456T (Fig. 2). This result was consistent with that of the DDH analysis. The genomic analysis of C17T showed that eight COG functional categories were distributed with more associated genes in C17T, compared with the other closely related species, indicating that C17T is different from the other known Streptococcus species at the genetic level.
In this study, the preliminary tests showed that strain C17T had the effect of antagonizing pathogens, which was different from that of S. mitis. Together with other studies on strain characteristics, it was concluded that the classification of strain C17T was similar, but still did not belong to S. mitis. Unfortunately, due to the high genomic similarity with various pathogenic Streptococcus genera, we still have no adequate evidence to rule out the possibility that this bacterium is virulent, and no virulence factor analysis was conducted in this study. However, strain C17T is an independent species in the Streptococcus genus and may develop into a type of probiotic that is necessary for maintaining the health of the human oropharynx.
Description of S. symci sp. nov.
Streptococcus symci (sym'ci. N.L. gen. n. symci, arbitrary epithet derived from Shenyang Medical College, where the sample was characterized).
It is a non-motile, non-spore-forming, aerobic, and Gram-positive bacteria with an approximate diameter of 5 μm. The cells formed grass-green, α-hemolytic colonies on Columbia agar plates containing 5% sheep blood after 24 h of incubation. The cells can grow at a temperature ranging from 20 to 42 °C with an optimal temperature of 37 °C under anaerobic, microaerophilic, and aerobic conditions. The growth of C17T was observed at different pH values (from 5.0 to 8.5) and salt concentrations of up to 2.5% NaCl. No oxidase and catalase activities were detected. The major fatty acids were hexadecanoic acid (24.31%), 9-octadecenoic acid (13.25%), branched fatty acids C18:1 n7/C18:1 n6 (13.16%), and octadecanoic acid (12.39%).
This strain of Streptococcus symci sp. nov., C17T, was first isolated from the oropharynx of a healthy 5-year-old child in Shenyang. The size of the genome was 2,189,419 bp, with a DNA G+C content of 39.95%. The 16S rRNA sequences of C17T were uploaded to the GenBank with the accession number MN068913.1. The whole-genome shotgun sequence was uploaded to the GenBank under accession number VFJA00000000. The habitat of this bacterium was a healthy oropharynx.
References
Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ (1990) Basic local alignment search tool. J Mol Biol 215:403–410. https://doi.org/10.1016/s0022-2836(05)80360-2
Arbique JC et al (2004) Accuracy of phenotypic and genotypic testing for identification of Streptococcus pneumoniae and description of Streptococcus pseudopneumoniae sp. nov. J Clin Microbiol 42:4686–4696. https://doi.org/10.1128/jcm.42.10.4686-4696.2004
Auch AF, von Jan M, Klenk HP, Goker M (2010) Digital DNA-DNA hybridization for microbial species delineation by means of genome-to-genome sequence comparison. Stand Genom Sci 2:117–134. https://doi.org/10.4056/sigs.531120
Bankevich A et al (2012) SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol 19:455–477. https://doi.org/10.1089/cmb.2012.0021
Benson G (1999) Tandem repeats finder: a program to analyze DNA sequences. Nucleic Acids Res 27:573–580. https://doi.org/10.1093/nar/27.2.573
Besemer J, Lomsadze A, Borodovsky M (2001) GeneMarkS: a self-training method for prediction of gene starts in microbial genomes. Implications for finding sequence motifs in regulatory regions. Nucleic Acids Res 29:2607–2618. https://doi.org/10.1093/nar/29.12.2607
Bittar F, Keita MB, Lagier JC, Peeters M, Delaporte E, Raoult D (2014) Gorilla gorilla gorilla gut: a potential reservoir of pathogenic bacteria as revealed using culturomics and molecular tools. Sci Rep 4:7174. https://doi.org/10.1038/srep07174
Delgado S, Suarez A, Mayo B (2006) Identification of dominant bacteria in feces and colonic mucosa from healthy Spanish adults by culturing and by 16S rDNA sequence analysis. Dig Dis Sci 51:744–751. https://doi.org/10.1007/s10620-006-3201-4
Drancourt M, Bollet C, Carlioz A, Martelin R, Gayral JP, Raoult D (2000) 16S ribosomal DNA sequence analysis of a large collection of environmental and clinical unidentifiable bacterial isolates. J Clin Microbiol 38:3623–3630
Drancourt M, Roux V, Fournier PE, Raoult D (2004) rpoB gene sequence-based identification of aerobic gram-positive cocci of the genera streptococcus, enterococcus, gemella, abiotrophia, and granulicatella. J Clin Microbiol 42:497–504. https://doi.org/10.1128/jcm.42.2.497-504.2004
Eichinger V, Nussbaumer T, Platzer A, Jehl MA, Arnold R, Rattei T (2016) EffectiveDB–updates and novel features for a better annotation of bacterial secreted proteins and Type III, IV, VI secretion systems. Nucleic Acids Res 44:D669-674. https://doi.org/10.1093/nar/gkv1269
El-Gebali S et al (2019) The Pfam protein families database in 2019. Nucleic Acids Res 47:D427-d432. https://doi.org/10.1093/nar/gky995
Gardner PP et al (2009) Rfam: updates to the RNA families database. Nucleic Acids Res 37:D136-140. https://doi.org/10.1093/nar/gkn766
Glazunova OO, Raoult D, Roux V (2009) Partial sequence comparison of the rpoB, sodA, groEL and gyrB genes within the genus Streptococcus. Int J Syst Evol Microbiol 59:2317–2322. https://doi.org/10.1099/ijs.0.005488-0
Grissa I, Vergnaud G, Pourcel C (2007) CRISPRFinder: a web tool to identify clustered regularly interspaced short palindromic repeats. Nucleic Acids Res 35:W52-57. https://doi.org/10.1093/nar/gkm360
Hsiao W, Wan I, Jones SJ, Brinkman FS (2003) IslandPath: aiding detection of genomic islands in prokaryotes. Bioinformatics 19:418–420. https://doi.org/10.1093/bioinformatics/btg004
Huch M et al (2013) Streptococcus rubneri sp. nov., isolated from the human throat. Int J Syst Evol Microbiol 63:4026–4032. https://doi.org/10.1099/ijs.0.048538-0
Hyatt D, Chen GL, Locascio PF, Land ML, Larimer FW, Hauser LJ (2010) Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinform 11:119. https://doi.org/10.1186/1471-2105-11-119
Jin D et al (2013) Dynamics of fecal microbial communities in children with diarrhea of unknown etiology and genomic analysis of associated Streptococcus lutetiensis. BMC Microbiol 13:141. https://doi.org/10.1186/1471-2180-13-141
Kawamura Y, Hou XG, Sultana F, Miura H, Ezaki T (1995) Determination of 16S rRNA sequences of Streptococcus mitis and Streptococcus gordonii and phylogenetic relationships among members of the genus Streptococcus. Int J Syst Bacteriol 45:406–408. https://doi.org/10.1099/00207713-45-2-406
Krzysciak W, Pluskwa KK, Jurczak A, Koscielniak D (2013) The pathogenicity of the Streptococcus genus. Eur J Clin Microbiol Infect Dis 32:1361–1376. https://doi.org/10.1007/s10096-013-1914-9
Lagesen K, Hallin P, Rodland EA, Staerfeldt HH, Rognes T, Ussery DW (2007) RNAmmer: consistent and rapid annotation of ribosomal RNA genes. Nucleic Acids Res 35:3100–3108. https://doi.org/10.1093/nar/gkm160
Lee I, Kim YO, Park SC, Chun JS (2015) OrthoANI: an improved algorithm and software for calculating average nucleotide identity. Int J Syst Evol Microbiol 66(2):1100–1103. https://doi.org/10.1099/ijsem.0.000760
Li R, Li Y, Kristiansen K, Wang J (2008) SOAP: short oligonucleotide alignment program. Bioinformatics 24:713–714. https://doi.org/10.1093/bioinformatics/btn025
Li R et al (2010) De novo assembly of human genomes with massively parallel short read sequencing. Genome Res 20:265–272. https://doi.org/10.1101/gr.097261.109
Li X, Yang B, Sun Y, Li S, Liu D, Zou Y, Xiao C (2019) Screening of antagonistic strains of respiratory origin and analysis of their bacteriostatic effects on pathogens. MicrobiologyOpen 8(12):e940. https://doi.org/10.1002/mbo3.940
Lin SH, Liao YC (2013) CISA: contig integrator for sequence assembly of bacterial genomes. PLoS One 8:e60843. https://doi.org/10.1371/journal.pone.0060843
Lowe TM, Eddy SR (1997) tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Res 25:955–964. https://doi.org/10.1093/nar/25.5.955
Medema MH et al (2011) antiSMASH: rapid identification, annotation and analysis of secondary metabolite biosynthesis gene clusters in bacterial and fungal genome sequences. Nucleic Acids Res 39:W339-346. https://doi.org/10.1093/nar/gkr466
Meier-Kolthoff JP, Auch AF, Klenk HP, Goker M (2013) Genome sequence-based species delimitation with confidence intervals and improved distance functions. BMC Bioinform 14:60. https://doi.org/10.1186/1471-2105-14-60
Nawrocki EP, Kolbe DL, Eddy SR (2009) Infernal 1.0: inference of RNA alignments. Bioinformatics 25:1335–1337. https://doi.org/10.1093/bioinformatics/btp157
Okamoto M et al (2015) Streptococcus panodentis sp. nov. from the oral cavities of chimpanzees. Microbiol Immunol 59:526–532. https://doi.org/10.1111/1348-0421.12290
Petersen TN, Brunak S, von Heijne G, Nielsen H (2011) SignalP 4.0: discriminating signal peptides from transmembrane regions. Nat Methods 8:785–786. https://doi.org/10.1038/nmeth.1701
Poyart C, Quesne G, Coulon S, Berche P, Trieu-Cuot P (1998) Identification of streptococci to species level by sequencing the gene encoding the manganese-dependent superoxide dismutase. J Clin Microbiol 36:41–47
Poyart C, Quesne G, Trieu-Cuot P (2002) Taxonomic dissection of the streptococcus bovis group by analysis of manganese-dependent superoxide dismutase gene (sodA) sequences: reclassification of “Streptococcus infantarius subsp. coli” as Streptococcus lutetiensis sp. nov. and of Streptococcus bovis biotype 11.2 as Streptococcus pasteurianus sp. nov. Int J Syst Evol Microbiol 52:1247–1255. https://doi.org/10.1099/00207713-52-4-1247
Ramasamy D et al (2014) A polyphasic strategy incorporating genomic data for the taxonomic description of novel bacterial species. Int J Syst Evol Microbiol 64:384–391. https://doi.org/10.1099/ijs.0.057091-0
Ricaboni D et al (2017) Noncontiguous finished genome sequence and description of Streptococcus timonensis sp. nov. isolated from the human stomach. New Microbes New Infect 15:77–88. https://doi.org/10.1016/j.nmni.2016.11.013
Richter M, Rossello-Mora R (2009) Shifting the genomic goldstandard for the prokaryotic species definition. Proc Natl Acad Sci USA 106(45):19126–19131. https://doi.org/10.1073/pnas.0906412106
Saha S, Bridges S, Magbanua ZV, Peterson DG (2008) Empirical comparison of ab initio repeat finding programs. Nucleic Acids Res 36:2284–2294. https://doi.org/10.1093/nar/gkn064
Simpson JT, Wong K, Jackman SD, Schein JE, Jones SJ, Birol I (2009) ABySS: a parallel assembler for short read sequence data. Genome Res 19:1117–1123. https://doi.org/10.1101/gr.089532.108
Tamura K, Stecher G, Peterson D, Filipski A, Kumar S (2013) MEGA6: molecular evolutionary genetics analysis version 6.0. Mol Biol Evol 30:2725–2729. https://doi.org/10.1093/molbev/mst197
Kumar S, Stecher G, Michael L, Knyaz C, Tamura K (2018) MEGA X: molecular evolutionary genetics analysis across computing platforms. Mol Biol Evol 35(6):1547–1549. https://doi.org/10.1093/molbev/msy096
Tapp J, Thollesson M, Herrmann B (2003) Phylogenetic relationships and genotyping of the genus Streptococcus by sequence determination of the RNase P RNA gene, rnpB. Int J Syst Evol Microbiol 53:1861–1871. https://doi.org/10.1099/ijs.0.02639-0
Vela AI, Casas-Diaz E, Lavin S, Dominguez L, Fernandez-Garayzabal JF (2015) Streptococcus pharyngis sp. nov., a novel streptococcal species isolated from the respiratory tract of wild rabbits. Int J Syst Evol Microbiol 65:2903–2907. https://doi.org/10.1099/ijs.0.000351
Vela AI, Mentaberre G, Lavin S, Dominguez L, Fernandez-Garayzabal JF (2016) Streptococcus caprae sp. nov., isolated from Iberian ibex (Capra pyrenaica hispanica). Int J Syst Evol Microbiol 66:196–200. https://doi.org/10.1099/ijsem.0.000697
Wayne LG (1988) International committee on systematic bacteriology announcement of the report of the ad hoc committee on reconciliation of approaches to bacterial systematics. J Appl Bacteriol 64:283–284. https://doi.org/10.1111/j.1365-2672.1988.tb01872.x
Xu Y et al (2013) An O island 172 encoded RNA helicase regulates the motility of Escherichia coli O157:H7. PLoS One 8:e64211. https://doi.org/10.1371/journal.pone.0064211
Zhou Y, Liang Y, Lynch KH, Dennis JJ, Wishart DS (2011) PHAST: a fast phage search tool. Nucleic Acids Res 39:W347-352. https://doi.org/10.1093/nar/gkr485
Funding
This study was supported by the Shenyang Science and Technology Bureau Project (18-400-09).
Author information
Authors and Affiliations
Contributions
CX: Conceptualization (lead); HQ: Resources (lead); Data Curation (lead);Formal Analysis (lead);Writing–original draft (lead); Writing–review and editing (lead); DL: Methodology (equal);Formal Analysis (equal);Writing–original draft (equal); YZ: Methodology (equal); Formal Analysis (equal);Writing–original draft (equal); NW: Methodology (equal);Resources (equal);Data Curation (equal); HT: Methodology (equal); Validation (equal); Writing–original draft (equal). All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare no conflict of interest.
Ethics approval
The study was conducted in accordance with the guidelines of the “Helsinki Declaration” and approved by the ethics committee of Shenyang Medical College under number 2015052902.
Informed consent
The participating donors provided informed consent.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Qi, H., Liu, D., Zou, Y. et al. Description and genomic characterization of Streptococcus symci sp. nov., isolated from a child’s oropharynx. Antonie van Leeuwenhoek 114, 113–127 (2021). https://doi.org/10.1007/s10482-020-01505-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10482-020-01505-3