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Research on oral microbiota of monozygotic twins with discordant caries experience - in vitro and in vivo study

A Publisher Correction to this article was published on 10 March 2020

This article has been updated


Oral microbiome is potentially correlated with many diseases, such as dental caries, periodontitis, oral cancer and some systemic diseases. Twin model, as an effective method for studying human microbiota, is widely used in research of relationship between oral microbiota and dental caries. However, there were few researches focusing on caries discordant twins. In this study, in vitro assays were conducted combined with 16S rRNA sequencing analysis on oral microbiota sampled from twins who presented discordant caries experience and mice model was developed as well. Results showed that oral microbiota from caries-active twin possessed higher metabolic activity and produced more lactic production. 16S rRNA sequencing analysis showed that more than 80% of family taxa could be transferred into gnotobiotic-mice. Key caries-associated genera were significantly different between twins and the same difference in genus level could be found in mice as well (p < 0.05). This study suggested that oral microbiota of twins could be distinguished from each other despite the similarities in genetic make-up, living environment, and lifestyle. The difference in microbiota was applied to develop a mice model which may facilitate the investigation of core microbiota of dental caries.


Dental caries, a multi-factors related disease, is a major factor of irreversible tooth decay and will in further lead to pulpitis, severe toothache, and chronic infections1. The etiology and related risk factors of dental caries have been a hot topic for a long period of time. The microbial factors are known as indispensable causes of the onset and progress of dental caries. Recently, core microbiota was considered to play important roles in the development of diseases, such as obesity and dental peri-implantitis2,3. Previous studies claimed that core microbiota was one of the most important elements in dental caries development4,5,6. More efforts should be put on exploring how core microbiota determines the progress of dental caries via in vitro and in vivo experiments. Therefore, an effective and accurate model is highly in need. The existing in vitro mono- or multi- species biofilm model7,8 or saliva biofilm model9 were utilized to simulate cariogenesis environment. Streptococcus mutans biofilm is one of the examples which contributed to the development of anti-caries material8,10. In our previous studies, we found that the growth media, not the substrates, have significant effects on the microbial community of saliva-derived biofilm in vitro11. However, in vitro model was unable to completely restore and delegate inner oral environment and microbiota due to the pH, temperature, enzymes and so forth. It can only reflect the condition of biofilm in exact situation.

Furthermore, there are other factors that can contribute to onset of dental caries, for instance, speed of salivary flow, saliva composition, fluoride exposure12,13, dietary habits, physical status, genetic factors and living conditions14,15,16. The common in vitro model can hardly take these factors into account. Thus, in vivo animal model is likely to be a better model than in vitro to imitate a relatively similar oral environment of human being. In our previous study, human oral microbiota-associated mouse model had developed via transplanting human saliva to mice. It successfully reconstructed human oral microbiota in gnotobiotic mice (results under review) and it can technically be used.

Biotechnology and bioinformatics methods develop rapidly in recent years, which stimulate the establishment of a better understanding of both cultured and un-cultured bacteria and the microbiota-related diseases. At the same time, those methods enable the determination of the composition and possible functions of microbiota in specific niches17,18,19. These brand-new technologies refresh the previous views on microbes in human body and relevant researches emerge to the public in an endless stream. A suitable model can possibly enhance the efficiency along with these technologies. For this purpose, a more effective research model is supposed to be established. Combining the utilization of biotechnology and bioinformatics, the highly precise results in human microbiome researches could be possessed.

Twins research involves comparisons of similarity or discrepancy between monozygotic twins or between monozygotic and dizygotic twins20,21,22. According to these comparisons, researchers can estimate the importance of genetic or environmental factors that influence the variation of human physical characteristics22,23,24. For example, Townsend et al. emphasized the value of twin studies in clarifying the effects of genetic factors on common dental problems, such as dental caries, periodontal diseases and malocclusion25. Because of the one hundred percent identical genes and comparable living conditions and lifestyles, monozygotic twins are supposed to own the same body features. Nonetheless, the twins discordant for obesity have been recruited in a research of gut microbiota26 implying the influence of the gut microbiota on the development of obesity using the germ-free mice model.

Papapostolou et al. reported that twins have similar experience of dental caries27. Nevertheless, it was observed that identical twins with the same diet, lifestyle and living environment can keep different DMFT. Therefore, twins with discordant caries experience might be a useful model for investigating the core microbiota of dental caries. Besides, it is important to mimic the different oral microbiota derived from the monozygotic twins with different dental caries experience. So far, there is no study investigating the difference of caries experience between those monozygotic twins. Therefore, based on the in vitro biofilm model and oral microbiota associated mice model, the present research is aimed to compare the oral microbiota between monozygotic twins with discordant caries.


Relevant characteristics of the twins

In this study, one pair of 23-year-old female monozygotic twins were recruited. The physical conditions were recorded and showed in Table 1. Both participants were born via cesarean. They lived together and had never been apart. Their eating habits were quite similar and both of them had preference to sweet foods. BMI index were 19.19 (the elder sister) and 18.82 (the younger sister) respectively when they took part in the research. As for the results of oral examination, both subjects possessed 24 teeth and the DMFT index of the elder twin was 0 and the younger one was 4. (Table 1).

Table 1 General characteristics of the twins recruited in this study.

Results of in vitro experiments of oral microbiota

Saliva and plaque samples were used to form biofilm in SHI medium28 on hydroxyapatite (HA) disks. Then, the biofilms were subjected to 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assays (MTT) and lactic acid measurements.

The MTT assay results (mean ± SD; n = 6) illustrated that saliva biofilm of the younger twin on hydroxyapatite(HA) specimen had almost 3 folds greater absorbance than the elder twin (p < 0.05) (Fig. 1a). Results of lactic acid productions of biofilm were plotted in Fig. 1b. Similarly, biofilm of saliva formed on HA specimen of the younger twin produced more lactic acid than the elder twin (p < 0.05). To the summary, the oral microbiota of the younger twin, who got higher DMFT, metabolized more absorbable nutrition and produced more lactic acid, which was a risk factor of caries. The higher metabolic viability and more lactic acid production may contribute to the formation of dental decay on host.

Figure 1

(a) Results of MTT test. Each value is the mean ± SD (n = 6). Values with stars on top are significantly different from each other. (p < 0.001; t-test). (b) Result of lactic acid production test.

16S rRNA sequencing analysis of twins’ saliva and dental plaque

The microbial communities in saliva and dental plaque of the discordant caries experienced-twins were characterized through 16S rRNA sequencing analysis and the differences of richness, diversity and relative abundances of each taxon were determined. In total, 16 phyla, 27 classes, 63 orders, 116 families, 294 genera, 484 species and 688 OTUs were detected from samples of the two participants. As for diversity, the Shannon index showed that microbial diversities were higher in both plaque and saliva samples of the elder than the younger twin (Fig. 2b).

Figure 2

Composition and diversity of bacterial community in saliva and dental plaque samples of the twins. (a) Abundance of bacteria of the twins’ saliva and plaque samples at genus level. (b) Diversity of bacterial community from the host saliva and dental plaque samples.

In 688 OTUs, 117 of which were detected in all the 4 samples, and 255 and 172 OTUs were shared by twins in saliva and plaque respectively (Supplementary Figure S1). The shared OTUs constituted 69.7% and 54.1% of all OTUs in the younger and the elder twin saliva samples, while that in their plaque samples occupied 70.5% and 39.8% of total OTUs. Though the community abundances were similar in both participants, the composition has some differences between twins.

In dental plaque samples, the dominant phyla were Proteobacteria, Firmicutes and Bacteroidetes, while in saliva samples, Firmicute and Proteobacteria were the most abundant phyla (both presented greater than 50%). At genus level, Streptococcus and Neisseria were the majority in saliva and plaque (Fig. 2a) except saliva of the elder which was predominated by Acinetobacter and Rhodococcus. The intra-pair twins‘ discrepancy of oral microbiota was smaller than unrelated individuals, which was proved by existing studies29. However, in this study, the difference of salivary microbiota was remarkable. Additionally, the proportions of the predominant taxa at the genus level were also compared. On one hand, there was a greater percentage of Streptococcus, Neisseria, Haemophilus and Veillonella in saliva of the younger sister, while the higher percentage of Acinetobacter, Rhodococcus and Geobacillus were found in saliva of the elder sister. On the other hand, in plaque community, more Streptococcus, Capnocytophaga and Lysinibacillus presented in the elder twin but there were more Neisseria, Corynebacterium, Porphyromonas and Leptotrichia observed in the younger sister.

In summary, from the 16S rRNA sequencing analysis, it was certified that there were several differences existing in microbiota of dental plaque and saliva of the twins the differences in the microbial diversity, composition of microbiota and the phyla colonized in saliva and dental plaque was observed in present study. The future research on the association between discrepancies and discordant caries experience is in need, however, whether those discrepancies contributed to the discordant caries experience between twins deserve further exploration.

Results of gnotobiotic mice trial

The saliva (stored in −80 °C before experiment) of the monozygotic twins were gavaged into recipient mice (2 groups, n = 7) respectively. After 5 weeks, 14 saliva samples were collected from each mice group and 16S rRNA gene amplicons were sequenced.

Characteristics of saliva microbiota in mice oral cavity

Saliva microbiota of two groups of mice which received saliva from the caries active twin and the caries inactive twin were analyzed. Similar composition of saliva microbiota was developed by mice received distinct saliva. All samples contained considerable percentage of Firmicutes at phylum level, Proteobacteria and Bacteroidetes also showed high abundance. At genus level, Streptococcus, Leuconostoc, Geobacillus and Enterococcus were very common genera in mice oral cavity (Fig. 3a). Streptococcus, Leuconostoc, Geobacillus, Enterococcus and Acinetobacter were the major genera and ranked the top 5 genera in both groups, most of which were common in human oral microbial community. Nevertheless, there were some variations in abundance of genus-level taxa between two groups. More Streptococcus colonized in mice of caries-active group (mice who received saliva from the younger twin) than inactive group (the abundance was 37.77% vs. 26.9%), and the difference was significant (p < 0.05). As for caries-inactive group (mice who received saliva from the elder sister), there were higher percentage of Leuconostoc (p < 0.05), Fusobacterium (p < 0.05) and Enterococcus (p < 0.05). In addition, Geobacillus and Acinetobacter were also more abundant in caries-inactive group abundances were not significantly different (p > 0.05) (Fig. 3c).

Figure 3

16S rRNA sequence analysis of two groups of host saliva-transplanted mice; the caries-active group received saliva from the younger sister with caries while the caries-inactive group received saliva from the elder sister without caries. (a) Abundance of microorganism in twins and mice saliva. (b) Alpha diversity comparison in Shannon, Simpson, Chao 1 and ACE index (p > 0.05; t-test) of groups of mice. (c) Top 15 different genera-level taxa in mice oral microbiota with different host saliva samples. (* represented for significant difference and ** stand for extremely different between two groups, Wilcoxon rank-sum test). (d) PCoA result of comparison between two group of mice.

Moreover, Shannon index indicated that caries-active group was higher in diversity than caries-inactive group, but the difference was not significant (p > 0.05). Similarly, Simpson, ACE and Chao1 indices were not significantly varied between two groups (p > 0.05) (Fig. 3b).

As for the beta diversity, the PCoA was conducted and the result showed that two groups of mice possessed similar saliva oral microbiota (Fig. 3d).

Comparison of hosts oral microbiota and mice saliva microbiota

The saliva microbiota of mice and hosts were compared. In general, we successfully transplanted human oral microbiota into mice oral cavity. Previous researches had developed humanized mice model and transplanted 88% of genus-level taxa and 11 of 12 bacterial classes of donor gut microbiota into mice gut30. The transplantation rates in the present study reached 88.4% and 81.6% at family level in caries-active group and caries-inactive group respectively, which was consistent to our previous study. Besides, 90% and 80.9% of bacterial orders were transplanted into mice and at the class level, the transplantation rates were 90% and 86.4% in caries-active group and caries-inactive group. The mice model that recruited twins was successfully constructed, and it was able to receive the majority of microbiota from the donors.

Meanwhile, we found that recipient mice could not only presented the oral microbiota of the donors but also displayed the difference of oral microbiota between the donors. In this study, the genera, occupying higher than 1% of total microbiota, whose quantitative difference between two donors was higher than 10% were selected. Meanwhile, the genera occupying over 0.1% but less than 1% and the quantitative differences being more than 0.3% between two individuals were selected (Supplementary Table S1). Genera Streptococcus, Haemophilus, Acinetobacter, Rhodococcus and Neisseria and so on were included. In comparison to the previous study proved that Streptococcus, Prevotella, Leptotrichia, Veillonella and Fusobacterium were correlated with onset and progress of caries18, and we found significant difference between the abundance of Streptococcus, Prevotella, Leptotrichia and Fusobacterium of the twins in the present study. 3 of these taxa also showed obvious difference in the mice oral cavity including Streptococcus, Prevotella and Fusobacterium. 75% of key taxa variations in host were successfully transferred into mice and they could reflect the difference between oral microbiota of the monozygotic twins. In addition, Veillonella showed no difference in both twins‘ saliva and mice saliva. The successful transplantation of difference in caries-correlated taxa indicates the possibility of investigation of caries-associated microbiota via our mice model utilized caries discordant twin pairs.


In this research, the involved monozygotic twins possessed theoretically same gene, similar living environment as well as dietary habits according to the questionnaires. However, they had discordant caries experiences. The younger sister underwent dental treatment due to caries and subsequently diagnosed with caries in mandibular molars. On the contrary, the elder sister never had caries. In this study, emphasis was put on the bacterial factor which was well known to have great impact on progress of dental caries. Higher metabolic viability and more lactic acid production of biofilm formed by saliva of the caries-active twin were observed. Although in vitro test cannot completely mimic the real environment in host, due to the improvement of culture media, the composition and diversity of in vitro saliva-derived biofilm presented higher similarity to host oral microbiota than previous studies11,28, indicating the reliability of in vitro experiment. However, in recent decades, non-cultured technology was becoming mainstream gradually, a mice model was taken into consideration using caries discordant twin based on the previous work about gut microbiota transplantation26,30.

Differences of the twins‘ oral microbiota were detected through 16S rRNA sequencing. Teng et al. reported that there existed 20 species of bacteria that played an important role in the prediction of early-childhood caries and might have strong correlation with onset of caries18. In our previous research, 5 species were selected, namely Streptococcus, Prevotella, Leptotrichia, Fusobacterium and Veillonella. Results showed that the multi-species microbial biofilm containing these 5 genera had greater ability of demineralization, contributing to the accelerated the caries development. There were several potential caries-associated bacteria found in caries-active host including Streptococcus, Prevotella, Leptotrichia and Fusobacterium except Veillonella, which were different from previous researches18. The possible reason may be that former study tried to found the predicative bacterial community of early childhood caries while adult participants were recruited in this study. However, whether this disparity suggesting Veillonella playing different roles in childhood and adult caries warranted further examinations and verifications. At the same time, there was always a debate on Veillonella about its role in dental caries. Previous Existing researches reported that it was had highly correlatedion with caries31,32, but a latest study suggested presented a controversy result33 and researchers pointed out that Veillonella may be related contribute to caries-free state. Even though, there was a consensus reported that the Veillonella was a health-associated genus which can be utilized to prevent disease in the future34. This debate remained to be settled and our analysis will be a key point of later study on how Veillonella can influence the dental caries. The association between Veillonella and dental caries requires confirmation of further study. Our findings could be an entry point in future exploration of how Veillonella can influence the dental caries.

According to the results of 16S rRNA sequencing, there was higher percentage of Streptococcus in both saliva and plaque from caries-active participant than another one. We all have known that Streptococcus is a potential caries-related bacterium, a lot of research have tested its capacity of acid production, duration of acid and ability to adhere to tooth surface. Nevertheless, the reason behind monozygotic twins with different caries experience is not clearly yet. The role that Streptococcus plays warrant further investigation.

In this study, human oral microbiota related mice model not only successfully expressed microbiota transplanted from human oral saliva, but also copied variations of key potential caries-related taxa of the caries discordant twins. Gnotobiotic mice model is of increasing popularity in the investigation of the relationship between gut microbiome and diseases in replacement of human body35. Nevertheless, gnotobiotic mice model is barely used in oral microbiome research, so, we are trying to use this mice model in the study of possible mechanism of discordance in the oral microbiota from the caries-discordant twins. Furthermore, the core microbiota of dental caries is likely to be a new therapeutic target for preventing and treating dental caries.

In conclusion, this research explored the difference of metabolic activity and lactic acid production of the discordant caries experience in monozygotic twins and this kind of twins’ oral microbiota was firstly utilized to construct humanized mice model, in which the characteristics of those recipient mice were analyzed. However, due to the small sample size, the different metabolic activity and colonization of oral microbiota between twins need further confirmation. And the modifications and insightful investigations are in need to better mice model.

Materials and Methods

Ethical considerations

The study was conducted in accordance with the Declaration of Helsinki, the policy of Sichuan University and West China School of Stomatology, and the protocol was approved by the Ethical Committee of West China School of Stomatology, Sichuan University (Chengdu, China) (Project identification code: WCHSIRB-D-2016-070, approval date: 03/03/2016). The written informed consent was obtained from each participant upon admission to oral examination, photos and samples.

Samples Characterizations

The samples consisted of 1 pair of twins who were 23-year-old females, and informed consents for inclusion were obtained from participants. Assessment of oral health showed that the elder one had zero DMFT, while the younger sister has 4 DMFT. None of them had systemic diseases and antibiotic usage in last 3 months. They lived together since they were born and had same oral hygiene behaviors.

Twins saliva and dental plaque collection

Saliva was collected from the adult twin donors, and participants did not use antibiotics within the past three months. The donors were demanded not to brush teeth for 24 h before collection and abstained from food/drink intake for at least 2 hours prior to donating saliva. Stimulated saliva was collected during parafilm chewing and kept in ice. Saliva samples were centrifuged at 2600 g for 10 min to remove large debris and eukaryotic cells, then each sample was diluted in sterile glycerol to a saliva concentration of 70% and stored at −80 °C before experiment28,36. Supragingival dental plaque from the buccal surface was collected with a sterile hand probe from 11, 16, 26, 31, 36, 46 teeth of each participant. Samples were deposited into coded sterile plastic tubes with sterile Tris-EDTA buffer solution, transported in ice to the microbiology laboratory and processed within 3 h of sampling. After that, the samples were diluted in sterile glycerol and stored at −80 °C37.

Biofilms using SHI medium

2 mL of each saliva sample was mixed with an equal volume of phosphate-buffered saline (PBS) and mixture was centrifuged at 14,000 g for 3 min. Then, 200 µl supernatant was added to each well that contains one piece of normalized hydroxyapatite(HA) tablet of the 24-well plate to pre-coat the HA tablets and plate were incubated at 37 °C with lid opened for 1 h to dry the saliva coating. Plates were then sterilized under ultraviolet (UV) light for 1 h before 150 µL of each saliva samples were inoculated into pre-coated well containing 850 µL SHI medium. The composition of SHI medium were refer to the previous assay28. Plates were incubated at 37 °C under anaerobic conditions to allow biofilm formation.

3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyltetrazolium bromide assay of metabolic activity

A 3-[4,5-dimethylthiazol-2-yl]−2,5-diphenyltetrazolium bromide (MTT) assay was used to examine the metabolic activity of the biofilms. MTT is a colorimetric assay that measures the enzymatic reduction of MTT, a yellow tetrazole, to purple formazan. Disks with 2-day biofilms (n = 6) were transferred to a new 24-well plate, and 1 mL of MTT dye (0.5 mg/mL−1 MTT in PBS) was added to each well and incubated at 37 °C under 5% CO2 for 1 h. During the incubation, metabolically active bacteria metabolized the MTT to formazan inside the living cells. Disks were then transferred to new 24-well plates, and 1 mL of dimethyl sulfoxide (DMSO) was added to solubilize the formazan crystals. The plates were incubated for 20 min with gentle mixing at room temperature. Two hundred microliters of the DMSO solution from each well was collected, and the absorbance was measured at 540 nm using microplate reader (SpectraMax M5; Molecular Devices, Sunnyvale, CA, USA optical density, OD540). The higher absorbance, the higher formazan concentration in wells, indicating higher metabolic activity in the biofilm on the composite surface10,36.

Lactic acid production by biofilms of saliva and plaque of the twins

Disks with 2-day biofilms (n = 6) were rinsed with cysteine peptone water (CPW) to remove loose bacteria, and then transferred to 24-well plates containing 1.5 mL of buffered-peptone water (BPW) plus 0.2% sucrose. The specimens were incubated for 3 h to allow the biofilms to produce acid. Then, the BPW solutions were collected for lactate analysis using an enzymatic method. Absorbance of BPW was determined at 340-nm with a microplate reader (SpectraMax M5; Molecular Devices, Sunnyvale, CA, USA). Standard curves were prepared using a standard lactic acid (Supelco Analytical, Bellefonte, PA, USA) as described in previous studies10,36.

16S rRNA gene sequencing

The saliva-derived biofilms samples were sent to Shanghai Majorbio Bio-pharm Technology Co., Ltd (Shanghai, China) where the total DNA was extracted, amplified and sequenced according to their standard procedures38,39,40. In brief, microbial DNA was extracted from the saliva-derived biofilms by using the E.Z.N.A.® Soil DNA Kit (Omega Bio-tek) according to manufacturer’s protocols. DNA concentration was assessed by Nanodrop2000 (Thermo Scientific, Wilmington, USA) and DNA quality was determined by 1% agarose gel electrophoresis. The universal target V4–V5 regions of the 16S rRNA gene were PCR-amplified using barcoded primers 515 F (5′-GTGCCAGCMGCCGCGG-3′) and 907 R (5′-CCGTCAATTCMTTTRAGTTT-3′). PCR reactions were performed in triplicate 20 μL mixture containing 4 μL of 5× FastPfu Buffer, 2 μL of 2.5 mM dNTPs, 0.8 μL of each primer (5 μM), 0.4 μL of FastPfu Polymerase and 10 ng of template DNA. The amplicons were then extracted from 2% agarose gels and further purified by using the AxyPrep DNA Gel Extraction Kit (Axygen Biosciences, Union City, CA, USA) and quantified by QuantiFluor -ST (Promega, USA) according to the protocols. Purified amplicons were pooled in equimolar and paired-end sequenced (2 × 300) on an Illumina MiSeq platform (Illumina, San Diego, USA) according to the instruction. The raw reads were deposited into the NCBI Sequence Read Archive (SRA) database (Accession Number: SRP092150).

Bioinformatics and statistical analysis

Raw reads were demultiplexed and quality-filtered by QIIME (version 1.9.1)41. Operational Taxonomic Units (OTUs) were clustered with 98.5% similarity cutoff using UPARSE (version 7.1). The taxonomy of each 16S rRNA gene sequence was analyzed by Ribosomal Database Project Classifier42 ( against the Human Oral Microbiome Database with confidence threshold of 70%43. Alpha diversity indices (Shannon index, Simpson index)44 and richness estimators (ACE index and Chao 1 index)45 calculations were performed using Mothur v.1.30.2. Phylogenetic beta diversity measures such as the unweighted UniFrac distance metrics analysis was determined using the represent sequences of OTUs for each sample, and principal component analysis (PCA) was conducted according to the distance matrices. In this study, a P value threshold of 0.05 (Wilcoxon rank-sum test) and an effect size threshold of 2 were used for all biomarkers discussed. OTUs are picked using a closed-reference OTU picking protocol (QIIME 1.9.1) against the Greengenes database pre-clustered at 70% identify. The obtained OTU table was normalized by 16S rRNA copy number. The other data subjected to non-parametric Mann–Whitney analysis or student t test. Differences were considered significant when P < 0.05 and extremely significant when P < 0.01. Software SPSS19.0 (SPSS Inc., Chicago, IL, USA) was applied for statistical analysis.

Animal experiment

The in vivo study was approved by the ethics committee of West China School of Stomatology, Sichuan University (WCHSIRB-D-2016-070), and all experiments were performed according to the National Institutes of Health Guide for the Care and Use of Laboratory Animals.

Germ-free adult male C57BL/6 J mice were maintained in plastic gnotobiotic isolators under a strict 12-hour light cycle, donators ‘saliva were gavage into germ-free recipients (n = 7). Mice were subsequently maintained in separate cages in a gnotobiotic isolator and fed normal diet which was in line with national standard GB-T14924.3-2001. At the 35th day after humanization, mice were killed and saliva samples were collected and stored at −80 °C as soon as possible30.

Data availability

The datasets generated and analyzed during the current study are available from the corresponding author on reasonable requests.

Change history

  • 10 March 2020

    An amendment to this paper has been published and can be accessed via a link at the top of the paper.


  1. 1.

    Selwitz, R. H., Ismail, A. I. & Pitts, N. B. Dental caries. Lancet 369, 51–59, (2007).

    CAS  Article  PubMed  Google Scholar 

  2. 2.

    Maruyama, N. et al. Intraindividual variation in core microbiota in peri-implantitis and periodontitis. Scientific reports 4, 6602, (2014).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  3. 3.

    Elli, M., Colombo, O. & Tagliabue, A. A common core microbiota between obese individuals and their lean relatives? Evaluation of the predisposition to obesity on the basis of the fecal microflora profile. Medical hypotheses 75, 350–352, (2010).

    CAS  Article  PubMed  Google Scholar 

  4. 4.

    Larsen, T. & Fiehn, N. E. Dental biofilm infections - an update. APMIS: acta pathologica, microbiologica, et immunologica Scandinavica 125, 376–384, (2017).

    CAS  Article  PubMed  Google Scholar 

  5. 5.

    Fejerskov, O. Changing paradigms in concepts on dental caries: consequences for oral health care. Caries research 38, 182–191, (2004).

    CAS  Article  PubMed  Google Scholar 

  6. 6.

    Scheie, A. A. & Petersen, F. C. The Biofilm Concept: Consequences for Future Prophylaxis Of Oral Diseases? Critical reviews in oral biology and medicine: an official publication of the American Association of Oral Biologists 15, 4–12 (2004).

    Article  Google Scholar 

  7. 7.

    Zhang, K. et al. Effect of antibacterial dental adhesive on multispecies biofilms formation. Journal of dental research 94, 622–629, (2015).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  8. 8.

    Wang, S. et al. Antibacterial effect of dental adhesive containing dimethylaminododecyl methacrylate on the development of Streptococcus mutans biofilm. International journal of molecular sciences 15, 12791–12806, (2014).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  9. 9.

    Cheng, L. et al. Dental primer and adhesive containing a new antibacterial quaternary ammonium monomer dimethylaminododecyl methacrylate. Journal of dentistry 41, 345–355, (2013).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Wang, S. P. et al. Effect of anti-biofilm glass-ionomer cement on Streptococcus mutans biofilms. International journal of oral science 8, 76–83, (2016).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  11. 11.

    Li, B. et al. Effects of different substrates/growth media on microbial community of saliva-derived biofilm. FEMS microbiology letters 364, (2017).

  12. 12.

    Cardoso, A. A. et al. Influence of salivary parameters in the caries development in orthodontic patients-an observational clinical study. International journal of paediatric dentistry/the British Paedodontic Society [and] the International Association of Dentistry for Children, (2017).

    Article  Google Scholar 

  13. 13.

    Kimoto, M., Kishino, M., Yura, Y. & Ogawa, Y. A role of salivary carbonic anhydrase VI in dental plaque. Archives of oral biology 51, 117–122, (2006).

    CAS  Article  PubMed  Google Scholar 

  14. 14.

    Featherstone, J. D. et al. Caries management by risk assessment: consensus statement, April 2002. Journal of the California Dental Association 31, 257–269 (2003).

    PubMed  Google Scholar 

  15. 15.

    Vieira, A. R., Modesto, A. & Marazita, M. L. Caries: review of human genetics research. Caries research 48, 491–506, (2014).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  16. 16.

    Gonzalez Munoz, M., Adobes Martin, M. & Gonzalez de Dios, J. Systematic review about dental caries in children and adolescents with obesity and/or overweight. Nutricion hospitalaria 28, 1372–1383, (2013).

    Article  PubMed  Google Scholar 

  17. 17.

    Guo, Z. et al. Intestinal Microbiota Distinguish Gout Patients from Healthy Humans. Scientific reports 6, 20602, (2016).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  18. 18.

    Teng, F. et al. Prediction of Early Childhood Caries via Spatial-Temporal Variations of Oral Microbiota. Cell host & microbe 18, 296–306, (2015).

    CAS  Article  Google Scholar 

  19. 19.

    Qin, N. et al. Alterations of the human gut microbiome in liver cirrhosis. Nature 513, 59–64, (2014).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  20. 20.

    Bockmann, M. R. et al. Timing of colonization of caries-producing bacteria: an approach based on studying monozygotic twin pairs. International journal of dentistry 2011, 571573, (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  21. 21.

    Corby, P. M. et al. Mutans streptococci in preschool twins. Archives of oral biology 50, 347–351, (2005).

    CAS  Article  PubMed  Google Scholar 

  22. 22.

    Murphy, K. et al. The gut microbiota composition in dichorionic triplet sets suggests a role for host genetic factors. PloS one 10, e0122561, (2015).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Stewart, J. A., Chadwick, V. S. & Murray, A. Investigations into the influence of host genetics on the predominant eubacteria in the faecal microflora of children. Journal of medical microbiology 54, 1239–1242, (2005).

    CAS  Article  PubMed  Google Scholar 

  24. 24.

    Ooi, G., Townsend, G. & Seow, W. K. Bacterial colonization, enamel defects and dental caries in 4-6-year-old mono- and dizygotic twins. International journal of paediatric dentistry / the British Paedodontic Society [and] the International Association of Dentistry for Children 24, 152–160, (2014).

    Article  Google Scholar 

  25. 25.

    Townsend, G. C., Richards, L., Hughes, T., Pinkerton, S. & Schwerdt, W. The value of twins in dental research. Australian dental journal 48, 82–88 (2003).

    CAS  Article  Google Scholar 

  26. 26.

    Ridaura, V. K. et al. Gut microbiota from twins discordant for obesity modulate metabolism in mice. Science 341, 1241214, (2013).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  27. 27.

    Papapostolou, A., Kroffke, B., Tatakis, D. N., Nagaraja, H. N. & Kumar, P. S. Contribution of host genotype to the composition of health-associated supragingival and subgingival microbiomes. Journal of clinical periodontology 38, 517–524, (2011).

    Article  PubMed  Google Scholar 

  28. 28.

    Tian, Y. et al. Using DGGE profiling to develop a novel culture medium suitable for oral microbial communities. Molecular oral microbiology 25, 357–367, (2010).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  29. 29.

    Stahringer, S. S. et al. Nurture trumps nature in a longitudinal survey of salivary bacterial communities in twins from early adolescence to early adulthood. Genome research 22, 2146–2152, (2012).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  30. 30.

    Turnbaugh, P. J. et al. The effect of diet on the human gut microbiome: a metagenomic analysis in humanized gnotobiotic mice. Science translational medicine 1, 6ra14, (2009).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  31. 31.

    Becker, M. R. et al. Molecular analysis of bacterial species associated with childhood caries. Journal of clinical microbiology 40, 1001–1009 (2002).

    CAS  Article  Google Scholar 

  32. 32.

    Rozkiewicz, D. et al. Bacterial composition in the supragingival plaques of children with and without dental caries. Advances in medical sciences 51(Suppl 1), 182–186 (2006).

    PubMed  Google Scholar 

  33. 33.

    Gomez, A. et al. Host Genetic Control of the Oral Microbiome in Health and Disease. Cell host & microbe 22, 269–278 e263, (2017).

    CAS  Article  Google Scholar 

  34. 34.

    Sanz, M. et al. Role of microbial biofilms in the maintenance of oral health and in the development of dental caries and periodontal diseases. Consensus report of group 1 of the Joint EFP/ORCA workshop on the boundaries between caries and periodontal disease. Journal of clinical periodontology 44(Suppl 18), S5–S11, (2017).

    Article  PubMed  Google Scholar 

  35. 35.

    Seedorf, H. et al. Bacteria from diverse habitats colonize and compete in the mouse gut. Cell 159, 253–266, (2014).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  36. 36.

    Cheng, L. et al. One-year water-ageing of calcium phosphate composite containing nano-silver and quaternary ammonium to inhibit biofilms. International journal of oral science 8, 172–181, (2016).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  37. 37.

    Signori, C., van de Sande, F. H., Maske, T. T., de Oliveira, E. F. & Cenci, M. S. Influence of the Inoculum Source on the Cariogenicity of in vitro Microcosm Biofilms. Caries research 50, 97–103, (2016).

    CAS  Article  PubMed  Google Scholar 

  38. 38.

    Zhu, Y. et al. Meat, dairy and plant proteins alter bacterial composition of rat gut bacteria. Scientific reports 5, 15220, (2015).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  39. 39.

    Wang, A. H. et al. Human colorectal mucosal microbiota correlates with its host niche physiology revealed by endomicroscopy. Scientific reports 6, 21952, (2016).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  40. 40.

    Yin, X. et al. Study of enteropathogenic bacteria in children with acute diarrhoea aged from 7 to 10 years in Xuzhou, China. Microbial pathogenesis 91, 41–45, (2016).

    Article  PubMed  Google Scholar 

  41. 41.

    Caporaso, J. G. et al. QIIME allows analysis of high-throughput community sequencing data. Nature methods 7, 335–336, (2010).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  42. 42.

    Cole, J. R. et al. The Ribosomal Database Project (RDP-II): sequences and tools for high-throughput rRNA analysis. Nucleic acids research 33, D294–296, (2005).

    CAS  Article  PubMed  Google Scholar 

  43. 43.

    Dewhirst, F. E. et al. The human oral microbiome. Journal of bacteriology 192, 5002–5017, (2010).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  44. 44.

    Chao, A., Lee, S. M. & Jeng, S. L. Estimating Population Size for Capture-Recapture Data When Capture Probabilities Vary by Time and Individual Animal. Biometrics 48, 201–216, (1992).

    CAS  Article  PubMed  MATH  Google Scholar 

  45. 45.

    Chao, A. & Shen, T.-J. Nonparametric estimation of Shannon’s index of diversity when there are unseen species in sample. Environmental and Ecological Statistics 10, 429–443, (2003).

    MathSciNet  Article  Google Scholar 

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This study was supported by the National Key Research Program of China (2017YFC0840100 and 2017YFC0840107) (L.C.); National Natural Science Foundation of China grant 81600858 (B.R.), and 81430011 (X.Z.); Recruitment Program for Young Professionals (M.F.) the Youth Grant of the Science and Technology Department of Sichuan Province, China 2017JQ0028 (L.C.). Innovative Research Team Program of Sichuan Province (L.C.).

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Hongle Wu, Lei Cheng and Xuedong Zhou conceived and designed the experiments; Hongle Wu, Benhua Zeng, Bolei Li, Biao Ren, Mingyun Li, Xian Peng, Mingye Feng and Jiyao Li performed the experiments; Hongle Wu, Benhua Zeng, Bolei Li, and Jianhua Zhao analyzed the data; Hongle Wu, Benhua Zeng and Lei Cheng wrote the paper; Hong Wei and Xuedong Zhou revised the paper. All authors reviewed the manuscript.

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Correspondence to Hong Wei, Lei Cheng or Xuedong Zhou.

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Wu, H., Zeng, B., Li, B. et al. Research on oral microbiota of monozygotic twins with discordant caries experience - in vitro and in vivo study. Sci Rep 8, 7267 (2018).

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