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Tansirichaiya S, Songsomboon K, Chaianant N, Lertsivawinyu W, Al‐Haroni M. Impact of cell lysis treatment before saliva metagenomic DNA extraction on the oral microbiome and the associated resistome. Clin Exp Dent Res 2024; 10:e905. [PMID: 38938117 PMCID: PMC11211641 DOI: 10.1002/cre2.905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 04/30/2024] [Accepted: 05/13/2024] [Indexed: 06/29/2024] Open
Abstract
OBJECTIVES The human oral microbiome, a complex ecosystem linked to oral and systemic health, harbors a diverse array of microbial populations, including antimicrobial resistance genes (ARGs). As a critical component of the One Health approach to tackle antibiotic resistance, comprehending the oral resistome's composition and diversity is imperative. The objective of this study was to investigate the impact of chemical cell lysis treatment using MetaPolyzyme on the detectability of the oral microbiome, resistome, and DNA quality and quantity. MATERIALS AND METHODS Saliva samples were collected from five healthy individuals, and each of the samples was subjected to DNA extraction with and without the treatment with MetaPolyzyme. Through metagenomic sequencing, we analyzed, assessed, and compared the microbial composition, resistome, and DNA characteristics between both groups of extracted DNA. RESULTS Our study revealed that MetaPolyzyme treatment led to significant shifts in the detectability of microbial composition, favoring Gram-positive bacteria, notably Streptococcus, over Gram-negative counterparts. Moreover, the MetaPolyzyme treatment also resulted in a distinct change in ARG distribution. This shift was characterized by an elevated proportion of ARGs linked to fluoroquinolones and efflux pumps, coupled with a reduction in the prevalence of tetracycline and β-lactam resistance genes when compared with the nontreated group. Alpha diversity analysis demonstrated altered species and ARG distribution without affecting overall diversity, while beta diversity analysis confirmed significant differences in the taxonomical composition and oral resistome between treated and nontreated groups. CONCLUSIONS These findings underscore the critical role of cell lysis treatment in optimizing oral metagenomic studies and enhance our understanding of the oral resistome's dynamics in the context of antimicrobial resistance.
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Affiliation(s)
- Supathep Tansirichaiya
- Department of Microbiology, Faculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
- Department of Clinical Dentistry, Faculty of Health SciencesUiT the Arctic University of NorwayTromsøNorway
- Centre for New Antimicrobial StrategiesUiT the Arctic University of NorwayTromsøNorway
| | - Kittikun Songsomboon
- School of Life and Environmental SciencesThe University of SydneySydneyAustralia
| | - Nichamon Chaianant
- Faculty of Dentistry and Research Unit in Mineralized Tissue ReconstructionThammasat UniversityPathumthaniThailand
| | - Wasawat Lertsivawinyu
- Department of Microbiology, Faculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
| | - Mohammed Al‐Haroni
- Department of Clinical Dentistry, Faculty of Health SciencesUiT the Arctic University of NorwayTromsøNorway
- Centre for New Antimicrobial StrategiesUiT the Arctic University of NorwayTromsøNorway
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Zhang H, Wang X, Chen A, Li S, Tao R, Chen K, Huang P, Li L, Huang J, Li C, Zhang S. Comparison of the full-length sequence and sub-regions of 16S rRNA gene for skin microbiome profiling. mSystems 2024:e0039924. [PMID: 38934545 DOI: 10.1128/msystems.00399-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 06/02/2024] [Indexed: 06/28/2024] Open
Abstract
The skin microbiome plays a pivotal role in human health by providing protective and functional benefits. Furthermore, its inherent stability and individual specificity present novel forensic applications. These aspects have sparked considerable research enthusiasm among scholars across various fields. However, the selection of specific 16S rRNA hypervariable regions for skin microbiome studies is not standardized and should be validated through extensive research tailored to different research objectives and targeted bacterial taxa. Notably, third-generation sequencing (TGS) technology leverages the full discriminatory power of the 16S gene and enables more detailed and accurate microbial community analyses. Here, we conducted full-length 16S sequencing of 141 skin microbiota samples from multiple human anatomical sites using the PacBio platform. Based on this data, we generated derived 16S sub-region data through an in silico experiment. Comparisons between the 16S full-length and the derived variable region data revealed that the former can provide superior taxonomic resolution. However, even with full 16S gene sequencing, limitations arise in achieving 100% taxonomic resolution at the species level for skin samples. Additionally, the capability to resolve high-abundance bacteria (TOP30) at the genus level remains generally consistent across different 16S variable regions. Furthermore, the V1-V3 region offers a resolution comparable with that of full-length 16S sequences, in comparison to other hypervariable regions studied. In summary, while acknowledging the benefits of full-length 16S gene analysis, we propose the targeting of specific sub-regions as a practical choice for skin microbial research, especially when balancing the accuracy of taxonomic classification with limited sequencing resources, such as the availability of only short-read sequencing or insufficient DNA.IMPORTANCESkin acts as the primary barrier to human health. Considering the different microenvironments, microbial research should be conducted separately for different skin regions. Third-generation sequencing (TGS) technology can make full use of the discriminatory power of the full-length 16S gene. However, 16S sub-regions are widely used, particularly when faced with limited sequencing resources including the availability of only short-read sequencing and insufficient DNA. Comparing the 16S full-length and the derived variable region data from five different human skin sites, we confirmed the superiority of the V1-V3 region in skin microbiota analysis. We propose the targeting of specific sub-regions as a practical choice for microbial research.
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Affiliation(s)
- Han Zhang
- Institute of Forensic Science, Fudan University, Shanghai, China
- Department of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou, China
| | - Xiang Wang
- Institute of Cancer Stem Cell, Cancer Center, Dalian Medical University, Dalian, Liaoning, China
| | - Anqi Chen
- Institute of Forensic Science, Fudan University, Shanghai, China
| | - Shilin Li
- Institute of Forensic Science, Fudan University, Shanghai, China
- MOE Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China
| | - Ruiyang Tao
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Ministry of Justice, Academy of Forensic Science, Shanghai, China
| | - Kaiqin Chen
- Key Laboratory of Cell Engineering of Guizhou Province, Clinical Stem Cell Research Institute, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China
| | - Ping Huang
- Institute of Forensic Science, Fudan University, Shanghai, China
| | - Liliang Li
- Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Jiang Huang
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou, China
| | - Chengtao Li
- Institute of Forensic Science, Fudan University, Shanghai, China
| | - Suhua Zhang
- Institute of Forensic Science, Fudan University, Shanghai, China
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Manoil D, Parga A, Bostanci N, Belibasakis GN. Microbial diagnostics in periodontal diseases. Periodontol 2000 2024. [PMID: 38797888 DOI: 10.1111/prd.12571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 03/27/2024] [Accepted: 04/15/2024] [Indexed: 05/29/2024]
Abstract
Microbial analytical methods have been instrumental in elucidating the complex microbial etiology of periodontal diseases, by shaping our understanding of subgingival community dynamics. Certain pathobionts can orchestrate the establishment of dysbiotic communities that can subvert the host immune system, triggering inflammation and tissue destruction. Yet, diagnosis and management of periodontal conditions still rely on clinical and radiographic examinations, overlooking the well-established microbial etiology. This review summarizes the chronological emergence of periodontal etiological models and the co-evolution with technological advances in microbial detection. We additionally review the microbial analytical approaches currently accessible to clinicians, highlighting their value in broadening the periodontal assessment. The epidemiological importance of obtaining culture-based antimicrobial susceptibility profiles of periodontal taxa for antibiotic resistance surveillance is also underscored, together with clinically relevant analytical approaches to guide antibiotherapy choices, when necessary. Furthermore, the importance of 16S-based community and shotgun metagenomic profiling is discussed in outlining dysbiotic microbial signatures. Because dysbiosis precedes periodontal damage, biomarker identification offers early diagnostic possibilities to forestall disease relapses during maintenance. Altogether, this review highlights the underutilized potential of clinical microbiology in periodontology, spotlighting the clinical areas most conductive to its diagnostic implementation for enhancing prevention, treatment predictability, and addressing global antibiotic resistance.
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Affiliation(s)
- Daniel Manoil
- Division of Cariology and Endodontics, University Clinics of Dental Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Division of Oral Health and Periodontology, Department of Dental Medicine, Karolinska Institutet, Huddinge, Stockholm, Sweden
| | - Ana Parga
- Division of Cariology and Endodontics, University Clinics of Dental Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Department of Microbiology and Parasitology, CIBUS-Faculty of Biology, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | - Nagihan Bostanci
- Division of Oral Health and Periodontology, Department of Dental Medicine, Karolinska Institutet, Huddinge, Stockholm, Sweden
| | - Georgios N Belibasakis
- Division of Oral Health and Periodontology, Department of Dental Medicine, Karolinska Institutet, Huddinge, Stockholm, Sweden
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Han H, Lee HJ, Kim KS, Chung J, Na HS. Comparison of the performance of MiSeq and NovaSeq in oral microbiome study. J Oral Microbiol 2024; 16:2344293. [PMID: 38645704 PMCID: PMC11028001 DOI: 10.1080/20002297.2024.2344293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 04/15/2024] [Indexed: 04/23/2024] Open
Abstract
Objective Next generation sequencing is commonly used to characterize the microbiome structure. MiSeq is most commonly used to analyze the microbiome due to its relatively long read length. Illumina also introduced the 250 × 2 chip for NovaSeq. The purpose of this study was to compare the performance of MiSeq and NovaSeq in the context of oral microbiome study. Methods Total read count, read quality score, relative bacterial abundance, community diversity, and correlation between two platforms were analyzed. Phylogenetic trees were analyzed for Streptococcus and periodontopathogens. Results NovaSeq produced significantly more read counts and assigned more operational taxonomic units (OTUs) compared to MiSeq. Community diversity was similar between MiSeq and NovaSeq. NovaSeq were able to detect more unique OTUs compared to MiSeq. When phylogenetic trees were constructed for Streptococcus and periodontopathogens, both platforms detected OTUs for most of the clades. Conclusion Taken together, while both MiSeq and NovaSeq platforms effectively characterize the oral microbiome, NovaSeq outperformed MiSeq in terms of read counts and detection of unique OTUs, highlighting its potential as a valuable tool for large scale oral microbiome studies.
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Affiliation(s)
- Hyejung Han
- Department of Oral Microbiology, School of Dentistry, Pusan National University, Yangsan, South Korea
| | - Hyo-Jung Lee
- Department of Periodontology, Section of Dentistry, Seoul National University Bundang Hospital, Seongnam-si, South Korea
| | - Keun-Suh Kim
- Department of Periodontology, Section of Dentistry, Seoul National University Bundang Hospital, Seongnam-si, South Korea
| | - Jin Chung
- Department of Oral Microbiology, School of Dentistry, Pusan National University, Yangsan, South Korea
| | - Hee Sam Na
- Department of Oral Microbiology, School of Dentistry, Pusan National University, Yangsan, South Korea
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Ju HM, Ahn YW, Ok SM, Jeong SH, Na HS, Chung J. Microbial Profiles in Oral Lichen Planus: Comparisons with Healthy Controls and Erosive vs. Non-Erosive Subtypes. Diagnostics (Basel) 2024; 14:828. [PMID: 38667474 PMCID: PMC11049134 DOI: 10.3390/diagnostics14080828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 04/04/2024] [Accepted: 04/13/2024] [Indexed: 04/28/2024] Open
Abstract
Recent studies have begun exploring the potential involvement of microbiota in the pathogenesis of oral lichen planus (OLP), yet comprehensive investigations remain limited. Hence, this study aimed to compare the microbial profiles in saliva samples obtained from patients with OLP against those from healthy controls (HC), along with a comparison between erosive (E) and non-erosive (NE) OLP patients. Saliva samples were collected from 60 OLP patients (E: n = 25, NE: n = 35) and 30 HC individuals. Analysis revealed no significant differences in alpha diversity, as assessed by the Chao1 and Shannon index, across the three groups. However, Bray-Curtis distance analysis indicated a significant disparity in microbiome composition distribution between HC and E-OLP, as well as HC and NE-OLP groups. The six most abundant phyla observed across the groups were Firmicutes, Bacteroidetes, Proteobacteria, Actinobacteria, Fusobacteria, and Saccharibacteria (TM7). Notably, OLP groups exhibited a higher prevalence of Bacteroidetes. Prevotella emerged as the predominant genus in the OLP groups, while Capnocytophaga showed a relatively higher prevalence in E-OLP compared to NE-OLP. This study's findings indicate a notable difference in microbiota composition between HC and patients with OLP. Additionally, differences in the microbiome were identified between the E-OLP and NE-OLP groups. The increase in the proportion of certain bacterial species in the oral microbiome suggests that they may exacerbate the inflammatory response and act as antigens for OLP.
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Affiliation(s)
- Hye-Min Ju
- Department of Oral Medicine, Dental and Life Science Institute, School of Dentistry, Pusan National University, Busandaehak-ro 49, Mulgeum-eup, Yangsan 50612, Republic of Korea; (H.-M.J.); (Y.-W.A.); (S.-M.O.); (S.-H.J.)
- Department of Oral Medicine, Dental Research Institute, School of Dentistry, Pusan National University, Busandaehak-ro 49, Mulgeum-eup, Yangsan 50612, Republic of Korea
| | - Yong-Woo Ahn
- Department of Oral Medicine, Dental and Life Science Institute, School of Dentistry, Pusan National University, Busandaehak-ro 49, Mulgeum-eup, Yangsan 50612, Republic of Korea; (H.-M.J.); (Y.-W.A.); (S.-M.O.); (S.-H.J.)
- Department of Oral Medicine, Dental Research Institute, School of Dentistry, Pusan National University, Busandaehak-ro 49, Mulgeum-eup, Yangsan 50612, Republic of Korea
| | - Soo-Min Ok
- Department of Oral Medicine, Dental and Life Science Institute, School of Dentistry, Pusan National University, Busandaehak-ro 49, Mulgeum-eup, Yangsan 50612, Republic of Korea; (H.-M.J.); (Y.-W.A.); (S.-M.O.); (S.-H.J.)
- Department of Oral Medicine, Dental Research Institute, School of Dentistry, Pusan National University, Busandaehak-ro 49, Mulgeum-eup, Yangsan 50612, Republic of Korea
| | - Sung-Hee Jeong
- Department of Oral Medicine, Dental and Life Science Institute, School of Dentistry, Pusan National University, Busandaehak-ro 49, Mulgeum-eup, Yangsan 50612, Republic of Korea; (H.-M.J.); (Y.-W.A.); (S.-M.O.); (S.-H.J.)
- Department of Oral Medicine, Dental Research Institute, School of Dentistry, Pusan National University, Busandaehak-ro 49, Mulgeum-eup, Yangsan 50612, Republic of Korea
| | - Hee-Sam Na
- Department of Oral Microbiology, School of Dentistry, Pusan National University, Yangsan 50612, Republic of Korea
- Oral Genomics Research Center, Pusan National University, Yangsan 50612, Republic of Korea
- Dental Research Institute, BK21 PLUS Project, School of Dentistry, Pusan National University, Yangsan 50612, Republic of Korea
| | - Jin Chung
- Department of Oral Microbiology, School of Dentistry, Pusan National University, Yangsan 50612, Republic of Korea
- Oral Genomics Research Center, Pusan National University, Yangsan 50612, Republic of Korea
- Dental Research Institute, BK21 PLUS Project, School of Dentistry, Pusan National University, Yangsan 50612, Republic of Korea
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Podar NA, Carrell AA, Cassidy KA, Klingeman DM, Yang Z, Stahler EA, Smith DW, Stahler DR, Podar M. From wolves to humans: oral microbiome resistance to transfer across mammalian hosts. mBio 2024; 15:e0334223. [PMID: 38299854 PMCID: PMC10936156 DOI: 10.1128/mbio.03342-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 12/21/2023] [Indexed: 02/02/2024] Open
Abstract
The mammalian mouth is colonized by complex microbial communities, adapted to specific niches, and in homeostasis with the host. Individual microbes interact metabolically and rely primarily on nutrients provided by the host, with which they have potentially co-evolved along the mammalian lineages. The oral environment is similar across mammals, but the diversity, specificity, and evolution of community structure in related or interacting mammals are little understood. Here, we compared the oral microbiomes of dogs with those of wild wolves and humans. In dogs, we found an increased microbial diversity relative to wolves, possibly related to the transition to omnivorous nutrition following domestication. This includes a larger diversity of Patescibacteria than previously reported in any other oral microbiota. The oral microbes are most distinct at bacterial species or strain levels, with few if any shared between humans and canids, while the close evolutionary relationship between wolves and dogs is reflected by numerous shared taxa. More taxa are shared at higher taxonomic levels including with humans, supporting their more ancestral common mammalian colonization followed by diversification. Phylogenies of selected oral bacterial lineages do not support stable human-dog microbial transfers but suggest diversification along mammalian lineages (apes and canids). Therefore, despite millennia of cohabitation and close interaction, the host and its native community controls and limits the assimilation of new microbes, even if closely related. Higher resolution metagenomic and microbial physiological studies, covering a larger mammalian diversity, should help understand how oral communities assemble, adapt, and interact with their hosts.IMPORTANCENumerous types of microbes colonize the mouth after birth and play important roles in maintaining oral health. When the microbiota-host homeostasis is perturbed, proliferation of some bacteria leads to diseases such as caries and periodontitis. Unlike the gut microbiome, the diversity of oral microbes across the mammalian evolutionary space is not understood. Our study compared the oral microbiomes of wild wolves, dogs, and apes (humans, chimpanzees, and bonobos), with the aim of identifying if microbes have been potentially exchanged between humans and dogs as a result of domestication and cohabitation. We found little if any evidence for such exchanges. The significance of our research is in finding that the oral microbiota and/or the host limit the acquisition of exogenous microbes, which is important in the context of natural exclusion of potential novel pathogens. We provide a framework for expanded higher-resolution studies across domestic and wild animals to understand resistance/resilience.
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Affiliation(s)
- Nicholas A. Podar
- School of Engineering, Vanderbilt University, Nashville, Tennessee, USA
| | - Alyssa A. Carrell
- Biosciences Department, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
| | - Kira A. Cassidy
- Yellowstone Center for Resources, National Park Service, Yellowstone National Park, Wyoming, USA
| | - Dawn M. Klingeman
- Biosciences Department, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
| | - Zamin Yang
- Biosciences Department, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
| | - Erin A. Stahler
- Yellowstone Center for Resources, National Park Service, Yellowstone National Park, Wyoming, USA
| | - Douglas W. Smith
- Yellowstone Center for Resources, National Park Service, Yellowstone National Park, Wyoming, USA
| | - Daniel R. Stahler
- Yellowstone Center for Resources, National Park Service, Yellowstone National Park, Wyoming, USA
| | - Mircea Podar
- Biosciences Department, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
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