From Culture to Metagenomics: How Methodological Advances Reshape Our Understanding of the Oral Microbiota of Venomous Snakes
Abstract
1. Introduction
2. Snakebite Complications and the Role of Oral Microbiota
2.1. Microbial Diversity in Snake Oral Flora and Post-Envenomation Infection
2.2. Clinical Translation and Therapeutic Implications
3. Early Studies Using Culture-Dependent Methods
4. Transition to Molecular and Culture-Independent Techniques
4.1. Current Advances: Full-Length 16S rRNA Gene Sequencing and Metagenomics
4.2. Limitations and Challenges of Molecular and Culture-Independent Techniques
5. Microbiota-Host-Venom Interactions and Ecological Considerations
5.1. Antimicrobial Potential & Biosynthetic Gene Clusters in Snake Oral Microbiota
5.2. Parallels with Amphibian Skin Microbiota
5.3. The Role of Snake Venoms in Antimicrobial Defense
6. Research Gaps and Future Directions
- Expand Geographical Representation: There is an urgent need to broaden the geographical scope of microbiome studies to encompass regions with high incidences of snake envenomations, such as Sub-Saharan Africa, where annual cases exceed 435,000, and Latin America, which reports approximately 57,500 cases yearly [11,40]. This expansion will facilitate a nuanced understanding of regional variations in snake oral microbiota and their ecological roles in post-bite infections. Systematic studies focusing on medically important venomous species from underrepresented regions will illuminate the global picture of snake microbiomes and their clinical implications [40,139].
- Establish Standardized Methodological Protocols: To enhance reproducibility and enable meaningful cross-study comparisons, international consensus guidelines must encompass sampling techniques, DNA extraction methods (mechanical vs. enzymatic lysis), hypervariable region selection (V1–V3 vs. V3–V4 vs. full-length 16S), and bioinformatics pipelines [140,141]. Standardization will ensure consistency across laboratories and regions, advancing field quality and data reliability in snake oral microbiota research.
- Characterize Antimicrobial Resistance Profiles and Clinical Implications: The growing prevalence of multidrug-resistant infections necessitates systematic documentation of resistance patterns in snake oral microbiota, with current studies suggesting 60–69% resistance to common antibiotics. Further investigation into venom-resistant bacterial strains and development of evidence-based antibiotic protocols for post-bite management is crucial to combat increasing antibiotic-resistant infections [11,23,84,142].
- Investigate Venom-Microbiome-Host Interactions and Temporal Dynamics: Understanding the complex relationships among venom composition, microbial communities, and envenomation outcomes requires longitudinal studies capturing seasonal variations, developmental changes, and environmental influences on microbiome stability and pathogenicity. These dynamic interactions may reveal how microbial communities modulate venoms and contribute to clinical outcomes following snakebites, leading to improved clinical care protocols and therapeutic strategies [77,143].
- Develop Microbiome-Guided Precision Medicine Approaches: Integration of functional metagenomics and host-specific microbiome profiling can enable personalized medicine for snake envenomation treatment. By characterizing individual patient microbiomes and identifying functional capabilities, clinicians can optimize antibiotic selection based on predicted resistance profiles and potentially harness microbial metabolites for therapeutic applications [144,145]. This precision medicine approach could revolutionize snakebite management and improve patient outcomes.
7. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| WHO | World Health Organization |
| NGS | Next-Generation Sequencing |
| PCR | Polymerase Chain Reaction |
| rRNA | ribosomal Ribonucleic Acid |
| ASVs | Amplicon Sequence Variants |
| OTUs | Operational Taxonomic Units |
| PacBio | Pacific Biosciences |
| IDSA | Infectious Diseases Society of America |
| AMPs | Antimicrobial Peptides |
| BGCs | Biosynthetic Gene Clusters |
References
- Valencia, B.M.; Zavaleta, A. La medicina complementaria en el tratamiento de las enfermedades tropicales desatendidas: Accidentes ofídicos. Rev. Peru. Med. Integr. 2017, 2, 58–67. [Google Scholar] [CrossRef][Green Version]
- Ahmed, S.; Koudou, G.B.; Bagot, M.; Drabo, F.; Bougma, W.R.; Pulford, C.; Bockarie, M.; Harrison, R.A. Health and economic burden estimates of snakebite management upon health facilities in three regions of southern Burkina Faso. PLoS Negl. Trop. Dis. 2021, 15, e0009464. [Google Scholar] [CrossRef]
- Kaulgud, R.S.; Hasan, T.; Vanti, G.L.; Kurjogi, M.M.; Astagimath, M.; Veeresh, S.; Belur, S. Nucleotidase as a Clinical Prognostic Marker in snakebites: A prospective study. Indian J. Crit. Care Med. 2025, 29, 125–129. [Google Scholar] [CrossRef] [PubMed]
- Williams, S.S.; A Wijesinghe, C.; Jayamanne, S.F.; A Buckley, N.; Dawson, A.H.; Lalloo, D.G.; De Silva, H.J. Delayed psychological morbidity associated with snakebite envenoming. PLoS Negl. Trop. Dis. 2011, 5, e1255. [Google Scholar] [CrossRef]
- Martín, G.; Erinjery, J.J.; Ediriweera, D.; de Silva, H.J.; Lalloo, D.G.; Iwamura, T.; Murray, K.A. A mechanistic model of snakebite as a zoonosis: Envenoming incidence is driven by snake ecology, socioeconomics and its impacts on snakes. PLoS Negl. Trop. Dis. 2022, 16, e0009867. [Google Scholar] [CrossRef]
- Martín, G.; Erinjery, J.; Ediriweera, D.; de Silva, H.J.; Lalloo, D.G.; Iwamura, T.; Murray, K.A. Redefining snakebite envenoming as a zoonosis: Disease incidence is driven by snake ecology, socioeconomics and anthropogenic impacts. bioRxiv 2021. [Google Scholar] [CrossRef]
- Chippaux, J.P.; Massougbodji, A.; Habib, A.G. The WHO strategy for prevention and control of snakebite envenoming: A sub-Saharan Africa plan. J. Venom. Anim. Toxins Incl. Trop. Dis. 2019, 25, e20190083. [Google Scholar] [CrossRef]
- Aglanu, L.M.; Amuasi, J.H.; Schut, B.A.; Steinhorst, J.; Beyuo, A.; Dari, C.D.; Agbogbatey, M.K.; Blankson, E.S.; Punguyire, D.; Lalloo, D.G.; et al. What the snake leaves in its wake: Functional limitations and disabilities among snakebite victims in Ghanaian communities. PLoS Negl. Trop. Dis. 2022, 16, e0010322. [Google Scholar] [CrossRef]
- Essafti, M.; Fajri, M.; Rahmani, C.; Abdelaziz, S.; Mouaffak, Y.; Younous, S. Snakebite envenomation in children: An ongoing burden in Morocco. Ann. Med. Surg. 2022, 77, 103574. [Google Scholar] [CrossRef] [PubMed]
- Huang, L.W.; Wang, J.D.; Huang, J.A.; Hu, S.Y.; Wang, L.M.; Tsan, Y.T. Wound infections secondary to snakebite in central Taiwan. J. Venom. Anim. Toxins Incl. Trop. Dis. 2012, 18, 272–276. [Google Scholar] [CrossRef]
- Bonilla-Aldana, D.K.; Bonilla-Aldana, J.L.; Ulloque-Badaracco, J.R.; Al-Kassab-Córdova, A.; Hernandez-Bustamante, E.A.; Alarcon-Braga, E.A.; Siddiq, A.; Benites-Zapata, V.A.; Rodriguez-Morales, A.J.; Luna, C.; et al. Snakebite-associated infections: A systematic review and meta-analysis. Am. J. Trop. Med. Hyg. 2024, 110, 874–886. [Google Scholar] [CrossRef] [PubMed]
- Muhammed, A.; Dalhat, M.M.; Joseph, B.O.; Ahmed, A.; Nguku, P.; Poggensee, G.; Adeiza, M.; Yahya, G.I.; Hamza, M.; Habib, Z.G.; et al. Predictors of depression among patients receiving treatment for snakebite in General Hospital, Kaltungo, Gombe State, Nigeria: August 2015. Int. J. Ment. Health Syst. 2017, 11, 26. [Google Scholar] [CrossRef]
- Wagener, M.; Naidoo, M.; Aldous, C. Wound infection secondary to snakebite. S. Afr. Med. J. 2017, 107, 315–319. [Google Scholar] [CrossRef]
- Maduwage, K.; Isbister, G.K. Current treatment for venom-induced consumption coagulopathy resulting from snakebite. PLoS Negl. Trop. Dis. 2014, 8, e3220. [Google Scholar] [CrossRef]
- Ahannach, S.; Delanghe, L.; Spacova, I.; Wittouck, S.; Van Beeck, W.; De Boeck, I.; Lebeer, S. Microbial enrichment and storage for metagenomics of vaginal, skin, and saliva samples. iScience 2021, 24, 103306. [Google Scholar] [CrossRef] [PubMed]
- Houttu, V.; Boulund, U.; Nicolaou, M.; Holleboom, A.G.; Grefhorst, A.; Galenkamp, H.; Born, B.-J.v.D.; Zwinderman, K.; Nieuwdorp, M. Physical activity and dietary composition relate to differences in gut microbial patterns in a multi-ethnic cohort-the HELIUS study. Metabolites 2021, 11, 858. [Google Scholar] [CrossRef]
- Gulyás, G.; Kakuk, B.; Dörmő, Á.; Járay, T.; Prazsák, I.; Csabai, Z.; Henkrich, M.M.; Boldogkői, Z.; Tombácz, D. Cross-comparison of gut metagenomic profiling strategies. bioRxiv 2023. [Google Scholar] [CrossRef] [PubMed]
- Abuabara-Franco, E.; Rico-Fontalvo, J.E.; Leal-Martínez, V.; Pájaro-Galvis, N.; Bohórquez-Rivero, J.; Barrios, N.d.J.; Ortega-Gaibao, M.F.; Figueroa-Quintero, M. Lesión renal aguda secundaria a mordedurade serpiente del génerobothrops: A propósitode un caso. Rev. Colomb. Nefrol. 2022, 9, e536. [Google Scholar] [CrossRef]
- Maguiña-Vargas, C.; Chincha-Lino, O.; Vilcapoma-Balbín, P.; Morante, D. Actualización en clínica y terapia de mordedura de serpiente (ofidismo). Rev. Med. Hered. 2020, 31, 48–55. [Google Scholar] [CrossRef]
- Miralda Méndez, S.T. Caracterización clínica del paciente pediátrico atendido por mordedura de serpiente, Hospital Escuela, Tegucigalpa, 2015–2019. Rev. Med. Hondureña 2021, 89, 24–28. [Google Scholar] [CrossRef]
- Quiroga-Centeno, A.C.; Hoyos-Rizo, K.; Chaparro-Zaraza, A.F.; Pinilla-Merchán, P.F.; Chávez, M.C.P.; Serrano-Pastrana, J.P.; Ochoa, S.A.G. Infección temprana de la malla quirúrgica en herniorrafia incisional. Incidencia, factores de riesgo y desenlaces en más de 60.000 pacientes. Rev. Colomb. Cir. 2022, 37, 194–205. [Google Scholar] [CrossRef]
- Paul, A.; Joseph, J.J.; Saijan, S.; Sebastian, S.; Tom, A.A.; Iqbal, T. Unveiling the potential threat of bacterial oral flora of snake in snake bite envenomation: A case report. Infect. Dis. Clin. Pract. 2021, 29, e184–e185. [Google Scholar] [CrossRef]
- Chuang, P.C.; Lin, W.H.; Chen, Y.C.; Chien, C.C.; Chiu, I.M.; Tsai, T.S. Oral bacteria and their antibiotic susceptibilities in Taiwanese venomous snakes. Microorganisms 2022, 10, 951. [Google Scholar] [CrossRef]
- Lin, C.-C.; Chen, Y.-C.; Goh, Z.N.L.; Seak, C.-K.; Seak, J.C.-Y.; Shi-Ying, G.; Seak, C.-J.; SPOT Investigators. Wound infections of snakebites from the venomous Protobothrops mucrosquamatus and Viridovipera stejnegeri in Taiwan: Bacteriology, antibiotic susceptibility, and predicting the need for antibiotics—A BITE study. Toxins 2020, 12, 575. [Google Scholar] [CrossRef]
- Resiere, D.; Mehdaoui, H.; Névière, R.; Olive, C.; Severyns, M.; Beaudoin, A.; Florentin, J.; Brouste, Y.; Banydeen, R.; Cabié, A.; et al. Infectious complications following snakebite by Bothrops lanceolatus in Martinique: A case series. Am. J. Trop. Med. Hyg. 2020, 102, 232–240. [Google Scholar] [CrossRef] [PubMed]
- Mao, Y.-C.; Huang, S.-T.; Lai, W.-C.; Yang, C.-C.; Hung, D.-Z.; Liu, P.-Y.; Hung, Y.-M. Bacteriology of Naja atra snakebite wound and its implications for antibiotic therapy. Am. J. Trop. Med. Hyg. 2016, 94, 1129–1135. [Google Scholar] [CrossRef]
- Dehghani, R.; Sharif, M.R.; Moniri, R.; Sharif, A.; Kashani, H.H. The identification of bacterial flora in oral cavity of snakes. Comp. Clin. Pathol. 2016, 25, 279–283. [Google Scholar] [CrossRef]
- Brenes-Chacon, H.; Gutiérrez, J.M.; Avila-Aguero, M.L. Use of antibiotics following snakebite in the era of antimicrobial stewardship. Toxins 2024, 16, 37. [Google Scholar] [CrossRef]
- Amador Ahumada, C.; Luna Rondón, J.M.; Puello Alcocer, E.C. Comportamiento de la intoxicación moderada y severa por Ofidiotoxicosis Bothrópica en Córdoba- Colombia. Rev. Av. Salud 2017, 2, 7–15. [Google Scholar] [CrossRef]
- Zapata, J.; Carvallo, A. Complicaciones Asociadas a Tratamiento Biológico en Pacientes con Artritis Reumatoide: Consideraciones en relación a un Caso Clínico. Rev. Chil. Reumatol. 2023, 35, 55–58. [Google Scholar] [CrossRef]
- Santisteban, R.R.; Muñoz-Rodríguez, L.C.; Díaz Nieto, J.; Pachón Londoño, V.; Curiel Peña, J. Seroprevalencia del virus de inmunodeficiencia felina (VIF) y el virus de la leucemia felina (ViLeF) en gatos del centro de Risaralda, Colombia. Rev. Investig. Vet. Peru. 2021, 32, e18901. [Google Scholar] [CrossRef]
- Sierra, Y.D.; Vence, N.; Herrera, P.; Cañate, A.S.; Vanegas, J. Parásitos gastrointestinales en mamíferos silvestres cautivos en el Centro de Fauna de San Emigdio, Palmira (Colombia). Rev. Fac. Med. Vet. Zootec. 2021, 67, 230–238. [Google Scholar] [CrossRef]
- Mao, Y.-C.; Chuang, H.-N.; Shih, C.-H.; Hsieh, H.-H.; Jiang, Y.-H.; Chiang, L.-C.; Lin, W.-L.; Hsiao, T.-H.; Liu, P.-Y. An investigation of conventional microbial culture for the Naja atra bite wound, and the comparison between culture-based 16S Sanger sequencing and 16S metagenomics of the snake oropharyngeal bacterial microbiota. PLoS Negl. Trop. Dis. 2021, 15, e0009331. [Google Scholar] [CrossRef]
- Martinez-Montalvo, C.M.; Cortes, C.; Arévalo-Romero, A. Una neumonía complicada por un germen inusual: Reporte de caso. Infectio 2020, 24, 255–258. [Google Scholar] [CrossRef]
- Loza Sánchez, E.H. INFECCIÓN DE PIEL Y PARTES BLANDAS, TRATAMIENTO EN EDAD PEDIÁTRICA. Enfermería Investig. 2024, 9, 53–63. [Google Scholar] [CrossRef]
- Lin, J.H.; Sung, W.C.; Mu, H.W.; Hung, D.Z. Local cytotoxic effects in cobra envenoming: A pilot study. Toxins 2022, 14, 122. [Google Scholar] [CrossRef]
- Sachett, J.A.G.; Da Silva, I.M.; Alves, E.C.; Oliveira, S.S.; Sampaio, V.S.; Vale, F.F.D.; Romero, G.A.S.; Dos Santos, M.C.; Marques, H.O.; Colombini, M.; et al. Poor efficacy of preemptive amoxicillin clavulanate for preventing secondary infection from Bothrops snakebites in the Brazilian Amazon: A randomized controlled clinical trial. PLoS Negl. Trop. Dis. 2017, 11, e0005745. [Google Scholar] [CrossRef] [PubMed]
- Artavia-León, A.; Romero-Guerrero, A.; Sancho-Blanco, C.; Rojas, N.; Umaña-Castro, R. Diversity of aerobic bacteria isolated from oral and cloacal cavities from free-living snakes species in Costa Rica Rainforest. Int. Sch. Res. Not. 2017, 2017, 8934285. [Google Scholar] [CrossRef] [PubMed]
- Résière, D.; Olive, C.; Kallel, H.; Cabié, A.; Névière, R.; Mégarbane, B.; Gutiérrez, J.M.; Mehdaoui, H. Oral Microbiota of the snake Bothrops lanceolatus in Martinique. Int. J. Environ. Res. Public Health 2018, 15, 2122. [Google Scholar] [CrossRef] [PubMed]
- Mendes, V.K.d.G.; Pereira, H.d.S.; Elias, I.C.; Soares, G.S.; Santos, M.; Talhari, C.; Cordeiro-Santos, M.; Monteiro, W.M.; Sachett, J.d.A.G. Secondary infection profile after snakebite treated at a tertiary referral center in the Brazilian Amazon. Rev. Soc. Bras. Med. Trop. 2022, 55, e0244. [Google Scholar] [CrossRef] [PubMed]
- Smith, L.K.; Vardanega, J.; Smith, S.; White, J.; Little, M.; Hanson, J. The incidence of infection complicating snakebites in tropical Australia: Implications for clinical management and antimicrobial prophylaxis. J. Trop. Med. 2023, 2023, 5812766. [Google Scholar] [CrossRef] [PubMed]
- Lin, W.H.; Tsai, T.S. Comparisons of the oral Microbiota from seven species of wild venomous snakes in Taiwan using the high-throughput amplicon sequencing of the full-length 16S rRNA gene. Biology 2023, 12, 1206. [Google Scholar] [CrossRef] [PubMed]
- Yeh, H.; Gao, S.Y.; Lin, C.C. Wound infections from Taiwan cobra (Naja atra) bites: Determining bacteriology, antibiotic susceptibility, and the use of antibiotics—A cobra BITE study. Toxins 2021, 13, 183. [Google Scholar] [CrossRef] [PubMed]
- Yeh, H.; Gao, S.Y.; Lin, C.C. Wound Infection of Snakebite from Venomous Protobothrops mucrosquamatus, Viridovipera stejnegeri and Naja atra in Taiwan: Validation of BITE and Cobra BITE Scoring Systems and their Bacteriological Differences in Wound Cultures. Toxins 2023, 15, 78. [Google Scholar] [CrossRef]
- Mao, Y.C.; Liu, P.Y.; Lai, K.L.; Luo, Y.; Chen, K.T.; Lai, C.S. Clinical characteristics of snakebite envenomings in Taiwan. Toxins 2024, 17, 14. [Google Scholar] [CrossRef]
- Huang, Y.; Zhao, X.; Cui, L.; Huang, S. Metagenomic and metatranscriptomic insight into oral biofilms in periodontitis and related systemic diseases. Front. Microbiol. 2021, 12, 728585. [Google Scholar] [CrossRef]
- Hu, S.; Lou, Z.; Shen, Y.; Tu, M. Bacteriological studies of venomous snakebite wounds in Hangzhou, southeast China. Am. J. Trop. Med. Hyg. 2022, 107, 925–929. [Google Scholar] [CrossRef]
- Houcke, S.; Resiere, D.; Lontsingoula, G.R.; Cook, F.; Lafouasse, P.; Pujo, J.M.; Demar, M.; Matheus, S.; Hommel, D.; Kallel, H. Characteristics of snakebite-related infection in french Guiana. Toxins 2022, 14, 89. [Google Scholar] [CrossRef]
- Chiang, L.-C.; Tsai, W.-J.; Liu, P.-Y.; Ho, C.-H.; Su, H.-Y.; Lai, C.-S.; Lai, K.-L.; Lin, W.-L.; Lee, C.-H.; Yang, Y.-Y.; et al. Envenomation by Trimeresurus stejnegeri stejnegeri: Clinical manifestations, treatment and associated factors for wound necrosis. J. Venom. Anim. Toxins Incl. Trop. Dis. 2020, 26, e20200043. [Google Scholar] [CrossRef]
- Schurer, J.M.; Admasu, M.T.; Bonaventure, M.; Hakizimana, D.; Murara, E.; MacDonald, L.E.; Rafferty, E. “I sold my towel and shoes to pay the traditional healer”: Care-seeking costs and productivity losses among snakebite victims in Eastern Province, Rwanda. PLoS Negl. Trop. Dis. 2023, 17, e0011768. [Google Scholar] [CrossRef]
- Steinhorst, J.; Aglanu, L.M.; Ravensbergen, S.J.; Dari, C.D.; Abass, K.M.; Mireku, S.O.; Poku, J.K.A.; Enuameh, Y.A.K.; Blessmann, J.; Harrison, R.A.; et al. “The medicine is not for sale”: Practices of traditional healers in snakebite envenoming in Ghana. PLoS Negl. Trop. Dis. 2021, 15, e0009298. [Google Scholar] [CrossRef] [PubMed]
- Wang, C.-C.; Yang, C.-H.O.; Hsu, C.-P.; Liu, C.-C.; Yu, J.-S.; Lo, C.-H.; Fann, W.-C.; Chen, Y.-C.; Lin, C.C. Taiwan cobra envenoming: Serum venom concentration before and after specific treatment and relationship with debridement of necrotic wound tissue. J. Venom. Anim. Toxins Incl. Trop. Dis. 2023, 29, e20220027. [Google Scholar] [CrossRef]
- Jackson, C.R.; Randolph, K.C.; Osborn, S.L.; Tyler, H.L. Culture dependent and independent analysis of bacterial communities associated with commercial salad leaf vegetables. BMC Microbiol. 2013, 13, 274. [Google Scholar] [CrossRef]
- Moon, J.-H.; Lee, J.-H.; Lee, J.-Y. Subgingival microbiome in smokers and non-smokers in Korean chronic periodontitis patients. Mol. Oral Microbiol. 2015, 30, 227–241. [Google Scholar] [CrossRef]
- Viana, T.F.C.; Campelo, A.P.S.; Baldani, J.I.; Fernandes-Júnior, P.I.; Baldani, V.L.D.; Silva, W.M.; Paggi, G.M.; Brasil, M.S. Cultivable bacterial diversity associated with bromeliad roots from ironstone outcrops in central Brazil. Braz. J. Biol. 2020, 80, 872–880. [Google Scholar] [CrossRef]
- Tedjo, D.I.; Jonkers, D.M.A.E.; Savelkoul, P.H.; Masclee, A.A.; van Best, N.; Pierik, M.J.; Penders, J. The effect of sampling and storage on the fecal microbiota composition in healthy and diseased subjects. PLoS ONE 2015, 10, e0126685. [Google Scholar] [CrossRef]
- Salter, S.J.; Cox, M.J.; Turek, E.M.; Calus, S.T.; Cookson, W.O.; Moffatt, M.F.; Turner, P.; Parkhill, J.; Loman, N.J.; Walker, A.W. Reagent and laboratory contamination can critically impact sequence-based microbiome analyses. BMC Biol. 2014, 12, 87. [Google Scholar] [CrossRef]
- Jangi, S.; Gandhi, R.; Cox, L.M.; Li, N.; von Glehn, F.; Yan, R.; Patel, B.; Mazzola, M.A.; Liu, S.; Glanz, B.L.; et al. Alterations of the human gut microbiome in multiple sclerosis. Nat. Commun. 2016, 7, 12015. [Google Scholar] [CrossRef]
- McNab, E.; Benedetto, D.; Hsiang, T. The creeping bentgrass microbiome: Traditional culturing and sequencing results compared with metagenomic techniques. Int. Turfgrass Soc. Res. J. 2022, 14, 911–915. [Google Scholar] [CrossRef]
- Ngo, C.T.; Aujoulat, F.; Veas, F.; Jumas-Bilak, E.; Manguin, S. Bacterial diversity associated with wild caught Anopheles mosquitoes from Dak Nong Province, Vietnam using culture and DNA fingerprint. PLoS ONE 2015, 10, e0118634. [Google Scholar] [CrossRef] [PubMed]
- Demirci, T.; Oraç, A.; Aktaş, K.; Dertli, E.; Akyol, I.; Akın, N. Comparison of culture-dependent and culture-independent techniques in the detection of lactic acid bacteria biodiversity and dynamics throughout the ripening process: The case of Turkish artisanal Tulum cheese produced in the Anamur region. J. Dairy Res. 2021, 88, 445–451. [Google Scholar] [CrossRef]
- Yashiro, E.; Spear, R.N.; McManus, P.S. Culture-dependent and culture-independent assessment of bacteria in the apple phyllosphere: Apple phyllosphere bacteria. J. Appl. Microbiol. 2011, 110, 1284–1296. [Google Scholar] [CrossRef]
- Shin, J.; Lee, S.; Go, M.-J.; Lee, S.Y.; Kim, S.C.; Lee, C.-H.; Cho, B.-K. Analysis of the mouse gut microbiome using full-length 16S rRNA amplicon sequencing. Sci. Rep. 2016, 6, 29681. [Google Scholar] [CrossRef]
- Graf, J.; Ledala, N.; Caimano, M.J.; Jackson, E.; Gratalo, D.; Fasulo, D.; Driscoll, M.D.; Coleman, S.; Matson, A.P. High-resolution differentiation of Enteric bacteria in premature infant fecal microbiomes using a novel rRNA amplicon. mBio 2021, 12, e03656-20. [Google Scholar] [CrossRef]
- Johnson, J.S.; Spakowicz, D.J.; Hong, B.-Y.; Petersen, L.M.; Demkowicz, P.; Chen, L.; Leopold, S.R.; Hanson, B.M.; Agresta, H.O.; Gerstein, M.; et al. Evaluation of 16S rRNA gene sequencing for species and strain-level microbiome analysis. Nat. Commun. 2019, 10, 5029. [Google Scholar] [CrossRef]
- Callahan, B.J.; Wong, J.; Heiner, C.; Oh, S.; Theriot, C.M.; Gulati, A.S.; McGill, S.K.; Dougherty, M.K. High-throughput amplicon sequencing of the full-length 16S rRNA gene with single-nucleotide resolution. Nucleic Acids Res. 2019, 47, e103. [Google Scholar] [CrossRef]
- Wang, Q.; Garrity, G.M.; Tiedje, J.M.; Cole, J.R. Naïve Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl. Environ. Microbiol. 2007, 73, 5261–5267. [Google Scholar] [CrossRef] [PubMed]
- Bao, Z.; Zhang, B.; Yao, J.; Li, M.D. MultiTax-human: An extensive and high-resolution human-related full-length 16S rRNA reference database and taxonomy. Microbiol. Spectr. 2025, 13, e0131224. [Google Scholar] [CrossRef] [PubMed]
- Chiarello, M.; McCauley, M.; Villéger, S.; Jackson, C.R. Ranking the biases: The choice of OTUs vs. ASVs in 16S rRNA amplicon data analysis has stronger effects on diversity measures than rarefaction and OTU identity threshold. PLoS ONE 2022, 17, e0264443. [Google Scholar] [CrossRef] [PubMed]
- Murovec, B.; Deutsch, L.; Stres, B. General Unified Microbiome Profiling Pipeline (GUMPP) for large scale, streamlined and reproducible analysis of bacterial 16S rRNA data to predicted microbial metagenomes, enzymatic reactions and metabolic pathways. Metabolites 2021, 11, 336. [Google Scholar] [CrossRef]
- Grützke, J.; Malorny, B.; Hammerl, J.A.; Busch, A.; Tausch, S.H.; Tomaso, H.; Deneke, C. Fishing in the soup—Pathogen detection in food safety using metabarcoding and metagenomic sequencing. Front. Microbiol. 2019, 10, 1805. [Google Scholar] [CrossRef]
- Schloss, P.D.; Handelsman, J. Introducing DOTUR, a computer program for defining operational taxonomic units and estimating species richness. Appl. Environ. Microbiol. 2005, 71, 1501–1506. [Google Scholar] [CrossRef] [PubMed]
- Komiya, S.; Matsuo, Y.; Nakagawa, S.; Morimoto, Y.; Kryukov, K.; Okada, H.; Hirota, K. MinION, a portable long-read sequencer, enables rapid vaginal microbiota analysis in a clinical setting. BMC Med. Genom. 2022, 15, 68. [Google Scholar] [CrossRef] [PubMed]
- Cuscó, A.; Catozzi, C.; Viñes, J.; Sanchez, A.; Francino, O. Microbiota profiling with long amplicons using Nanopore sequencing: Full-length 16S rRNA gene and the 16S-ITS-23S of the rrn operon. F1000Research 2019, 7, 1755. [Google Scholar] [CrossRef] [PubMed]
- Nygaard, A.B.; Tunsjø, H.S.; Meisal, R.; Charnock, C. A preliminary study on the potential of Nanopore MinION and Illumina MiSeq 16S rRNA gene sequencing to characterize building-dust microbiomes. Sci. Rep. 2020, 10, 3209. [Google Scholar] [CrossRef]
- Cong, X.; Liu, X.; Zhou, D.; Xu, Y.; Liu, J.; Tong, F. Characterization and comparison of the fecal bacterial microbiota in Red Back Pine Root Snake (Oligodon formosanus) and Chinese Slug-Eating Snake (Pareas chinensis). Front. Microbiol. 2025, 16, 1575405. [Google Scholar] [CrossRef]
- Smith, S.N.; Colston, T.J.; Siler, C.D. Venomous snakes reveal ecological and phylogenetic factors influencing variation in gut and oral microbiomes. Front. Microbiol. 2021, 12, 657754. [Google Scholar] [CrossRef]
- Bell, S.E.; Nash, A.K.; Zanghi, B.M.; Otto, C.M.; Perry, E.B. An assessment of the stability of the canine oral Microbiota after probiotic administration in healthy dogs over time. Front. Vet. Sci. 2020, 7, 616. [Google Scholar] [CrossRef]
- Hu, X.; Yang, L.; Zhang, Y.; Yang, M.; Li, J.; Fan, Y.; Guo, P.; Tian, Z. Fecal and oral microbiome analysis of snakes from China reveals a novel natural emerging disease reservoir. Front. Microbiol. 2023, 14, 1339188. [Google Scholar] [CrossRef]
- Du, Y.; Chen, J.-Q.; Liu, Q.; Fu, J.-C.; Lin, C.-X.; Lin, L.-H.; Li, H.; Qu, Y.-F.; Ji, X. Dietary correlates of oral and gut Microbiota in the water monitor lizard, Varanus salvator (Laurenti, 1768). Front. Microbiol. 2021, 12, 771527. [Google Scholar] [CrossRef]
- Kennedy, N.A.; Walker, A.W.; Berry, S.H.; Duncan, S.H.; Farquarson, F.M.; Louis, P.; Thomson, J.M. The impact of different DNA extraction kits and laboratories upon the assessment of human gut microbiota composition by 16S rRNA gene sequencing. PLoS ONE 2014, 9, e88982. [Google Scholar] [CrossRef] [PubMed]
- Zou, A.; Nadeau, K.; Xiong, X.; Wang, P.W.; Copeland, J.K.; Lee, J.Y.; Pierre, J.S.; Ty, M.; Taj, B.; Brumell, J.H.; et al. Systematic profiling of the chicken gut microbiome reveals dietary supplementation with antibiotics alters expression of multiple microbial pathways with minimal impact on community structure. Microbiome 2022, 10, 127. [Google Scholar] [CrossRef] [PubMed]
- Pascal, V.; Pozuelo, M.; Borruel, N.; Casellas, F.; Campos, D.; Santiago, A.; Martinez, X.; Varela, E.; Sarrabayrouse, G.; Machiels, K.; et al. A microbial signature for Crohn’s disease. Gut 2017, 66, 813–822. [Google Scholar] [CrossRef]
- Anderson, A.C.; von Ohle, C.; Frese, C.; Boutin, S.; Bridson, C.; Schoilew, K.; Peikert, S.A.; Hellwig, E.; Pelz, K.; Wittmer, A.; et al. The oral microbiota is a reservoir for antimicrobial resistance: Resistome and phenotypic resistance characteristics of oral biofilm in health, caries, and periodontitis. Ann. Clin. Microbiol. Antimicrob. 2023, 22, 37. [Google Scholar] [CrossRef] [PubMed]
- Abe, F.C.; Kodaira, K.; Motta, C.d.C.B.; Barberato-Filho, S.; Silva, M.T.; Guimarães, C.C.; Martins, C.C.; Lopes, L.C. Antimicrobial resistance of microorganisms present in periodontal diseases: A systematic review and meta-analysis. Front. Microbiol. 2022, 13, 961986. [Google Scholar] [CrossRef]
- Pinart, M.; Nimptsch, K.; Forslund, S.K.; Schlicht, K.; Gueimonde, M.; Brigidi, P.; Turroni, S.; Ahrens, W.; Hebestreit, A.; Wolters, M.; et al. Identification and characterization of human observational studies in nutritional epidemiology on gut microbiomics for joint data analysis. Nutrients 2021, 13, 3292. [Google Scholar] [CrossRef]
- Srila, W.; Sripilai, K.; Binlateh, T.; Thammanichanon, P.; Tiskratok, W.; Noisa, P.; Jitprasertwong, P. Relationship between the salivary microbiome and oral malodor metabolites in older Thai individuals with periodontitis and the cytotoxic effects of malodor compounds on human oral squamous carcinoma (HSC-4) cells. Dent. J. 2025, 13, 36. [Google Scholar] [CrossRef]
- Thu, M.S.; Sawaswong, V.; Chanchaem, P.; Klomkliew, P.; Campbell, B.J.; Hirankarn, N.; Fothergill, J.L.; Payungporn, S. Optimization of a DNA extraction protocol for improving bacterial and fungal classification based on Nanopore sequencing. Access Microbiol. 2024, 6, 000754-v3. [Google Scholar] [CrossRef]
- You, K.; Yang, L.; Su, Z.; Shen, J.; Fan, X.; Guo, Y.; Yuan, Z.; Lu, H. Butyric acid modulates gut Microbiota to alleviate inflammation and secondary bone loss in ankylosing spondylitis. Biomedicines 2024, 13, 9. [Google Scholar] [CrossRef]
- Koregol, A.C.; Kalburgi, N.B.; Puttarevanna, T.; Patil, R.S.; Singh, P.; Sulakod, K. Antimicrobial efficacy of grape seed extract in terminating the ramifications of plaque microorganisms: A randomized control study. Med. Pharm. Rep. 2022, 95, 185–190. [Google Scholar] [CrossRef]
- Tong, Z.; Zhou, X.; Chu, Y.; Zhang, T.; Zhang, J.; Zhao, X.; Wang, Z.; Ding, R.; Meng, Q.; Yu, J.; et al. Implications of oral streptococcal bacteriophages in autism spectrum disorder. npj Biofilms Microbiomes 2022, 8, 91. [Google Scholar] [CrossRef]
- Krishnankutty, S.P.; Muraleedharan, M.; Perumal, R.C.; Michael, S.; Benny, J.; Balan, B.; Kumar, P.; Manazhi, J.; Kumar, B.D.; Santhosh, S.; et al. Next-generation sequencing analysis reveals high bacterial diversity in wild venomous and non-venomous snakes from India. J. Venom. Anim. Toxins Incl. Trop. Dis. 2018, 24, 41. [Google Scholar] [CrossRef]
- Qin, Z.; Wang, S.; Guo, D.; Zhu, J.; Chen, H.; Bai, L.; Luo, X.; Yin, Y. Comparative analysis of intestinal bacteria among venom secretion and non-secrection snakes. Sci. Rep. 2019, 9, 6335. [Google Scholar] [CrossRef] [PubMed]
- Tang, W.; Zhu, G.; Shi, Q.; Yang, S.; Ma, T.; Mishra, S.K.; Wen, A.; Xu, H.; Wang, Q.; Jiang, Y.; et al. Characterizing the microbiota in gastrointestinal tract segments of Rhabdophis subminiatus: Dynamic changes and functional predictions. Microbiologyopen 2019, 8, e00789. [Google Scholar] [CrossRef]
- Colston, T.J.; Noonan, B.P.; Jackson, C.R. Phylogenetic analysis of bacterial communities in different regions of the gastrointestinal tract of Agkistrodon piscivorus, the cottonmouth snake. PLoS ONE 2015, 10, e0128793. [Google Scholar] [CrossRef] [PubMed]
- Batut, B.; Gravouil, K.; Defois, C.; Hiltemann, S.; Brugère, J.-F.; Peyretaillade, E.; Peyret, P. ASaiM: A Galaxy-based framework to analyze microbiota data. GigaScience 2018, 7, giy057. [Google Scholar] [CrossRef]
- Munoz-Benavent, M.; Hartkopf, F.; Van Den Bossche, T.; Piro, V.C.; García-Ferris, C.; Latorre, A.; Renard, B.Y.; Muth, T. gNOMO: A multi-omics pipeline for integrated host and microbiome analysis of non-model organisms. Res. Sq. 2019. [Google Scholar] [CrossRef]
- Onate, F.P.; Batto, J.-M.; Juste, C.; Fadlallah, J.; Fougeroux, C.; Gouas, D.; Pons, N.; Kennedy, S.; Levenez, F.; Dore, J.; et al. Quality control of microbiota metagenomics by k-mer analysis. BMC Genom. 2015, 16, 183. [Google Scholar] [CrossRef]
- Meslier, V.; Menozzi, E.; David, A.; Morabito, C.; Del Pozo, S.L.; Famechon, A.; North, J.; Quinquis, B.; Koletsi, S.; Macnaughtan, J.; et al. Evaluation of an adapted semi-automated DNA extraction for human salivary shotgun metagenomics. Biomolecules 2023, 13, 1505. [Google Scholar] [CrossRef]
- Idris, A.; Hasnain, S.Z.; Huat, L.Z.; Koh, D. Human diseases, immunity and the oral microbiota—Insights gained from metagenomic studies. Oral Sci. Int. 2017, 14, 27–32. [Google Scholar] [CrossRef]
- Zelasko, S.; Swaney, M.H.; Suh, W.S.; Sandstrom, S.; Carlson, C.; Cagnazzo, J.; Golfinos, A.; Fossen, J.; Andes, D.; Kalan, L.R.; et al. Altered oral microbiota of drug-resistant organism carriers exhibit impaired gram-negative pathogen inhibition. bioRxiv 2024. [Google Scholar] [CrossRef]
- Pochon, Z.; Bergfeldt, N.; Kırdök, E.; Vicente, M.; Naidoo, T.; van der Valk, T.; Altınışık, N.E.; Krzewińska, M.; Dalén, L.; Götherström, A.; et al. aMeta: An accurate and memory-efficient ancient metagenomic profiling workflow. Genome Biol. 2023, 24, 242. [Google Scholar] [CrossRef] [PubMed]
- Utter, D.R.; Borisy, G.G.; Eren, A.M.; Cavanaugh, C.M.; Mark Welch, J.L. Metapangenomics of the oral microbiome provides insights into habitat adaptation and cultivar diversity. Genome Biol. 2020, 21, 293. [Google Scholar] [CrossRef]
- Fleming, E.; Pabst, V.; Scholar, Z.; Xiong, R.; Voigt, A.Y.; Zhou, W.; Hoyt, A.; Hardy, R.; Peterson, A.; Beach, R.; et al. Cultivation of common bacterial species and strains from human skin, oral, and gut microbiota. BMC Microbiol. 2021, 21, 278. [Google Scholar] [CrossRef]
- Wu, Y.; Wang, H.; Gao, Z.; Wang, H.; Zou, H. Comparison of the intestinal bacterial communities between captive and semi-free-range red-crowned cranes (Grus japonensis) before reintroduction in Zhalong National Nature Reserve, China. Animals 2023, 14, 3. [Google Scholar] [CrossRef] [PubMed]
- Jiang, F.; Song, P.; Liu, D.; Zhang, J.; Qin, W.; Wang, H.; Liang, C.; Gao, H.; Zhang, T. Marked variations in gut microbial diversity, functions, and disease risk between wild and captive alpine musk deer. Appl. Microbiol. Biotechnol. 2023, 107, 5517–5529. [Google Scholar] [CrossRef] [PubMed]
- Lan, L.; You, Y.; Hong, Q.; Liu, Q.; Xu, C.; Chen, W.; Zhu, Y.; Du, X.; Fan, P. The gut microbiota of gibbons across host genus and captive site in China. Am. J. Primatol. 2022, 84, e23360. [Google Scholar] [CrossRef]
- Jiang, F.; Song, P.; Wang, H.; Zhang, J.; Liu, D.; Cai, Z.; Gao, H.; Chi, X.; Zhang, T. Comparative analysis of gut microbial composition and potential functions in captive forest and alpine musk deer. Appl. Microbiol. Biotechnol. 2022, 106, 1325–1339. [Google Scholar] [CrossRef]
- Alberdi, A.; Martin Bideguren, G.; Aizpurua, O. Diversity and compositional changes in the gut microbiota of wild and captive vertebrates: A meta-analysis. Sci. Rep. 2021, 11, 22660. [Google Scholar] [CrossRef]
- Reese, A.T.; Chadaideh, K.S.; E Diggins, C.; Schell, L.D.; Beckel, M.; Callahan, P.; Ryan, R.; Thompson, M.E.; Carmody, R.N. Effects of domestication on the gut microbiota parallel those of human industrialization. eLife 2021, 10, e60197. [Google Scholar] [CrossRef]
- Bornbusch, S.L.; Greene, L.K.; Rahobilalaina, S.; Calkins, S.; Rothman, R.S.; Clarke, T.A.; LaFleur, M.; Drea, C.M. Gut microbiota of ring-tailed lemurs (Lemur catta) vary across natural and captive populations and correlate with environmental microbiota. Anim. Microbiome 2022, 4, 29. [Google Scholar] [CrossRef]
- Liu, X.; Yu, J.; Huan, Z.; Xu, M.; Song, T.; Yang, R.; Zhu, W.; Jiang, J. Comparing the gut microbiota of Sichuan golden monkeys across multiple captive and wild settings: Roles of anthropogenic activities and host factors. BMC Genom. 2024, 25, 148. [Google Scholar] [CrossRef]
- Alam, I.; Ojha, R.; Quasimi, H.; Alam, A. Therapeutic potential of snake venoms as antimicrobial agents. Front. Drug Chem. Clin. Res. 2019, 2, 1–9. [Google Scholar] [CrossRef]
- Espín-Angulo, J.; Vela, D. Exploring the Venom Gland Transcriptome of Bothrops asper and Bothrops jararaca: De Novo Assembly and Analysis of Novel Toxic Proteins. Toxins 2024, 16, 511. [Google Scholar] [CrossRef] [PubMed]
- Valencia-Aguilar, A.; Cortés-Gómez, A.M.; Ruiz-Agudelo, C.A. Ecosystem services provided by amphibians and reptiles in Neotropical ecosystems. Int. J. Biodivers. Sci. Ecosyst. Serv. Manag. 2013, 9, 257–272. [Google Scholar] [CrossRef]
- Esmaeilishirazifard, E.; Usher, L.; Trim, C.; Denise, H.; Sangal, V.; Tyson, G.H.; Barlow, A.; Redway, K.F.; Taylor, J.D.; Kremyda-Vlachou, M.; et al. Microbial adaptation to venom is common in snakes and spiders. bioRxiv 2018. [Google Scholar] [CrossRef]
- Wei, L.; Gao, J.; Zhang, S.; Wu, S.; Xie, Z.; Ling, G.; Kuang, Y.-Q.; Yang, Y.; Yu, H.; Wang, Y. Identification and characterization of the first cathelicidin from sea snakes with potent antimicrobial and anti-inflammatory activity and special mechanism. J. Biol. Chem. 2015, 290, 16633–16652. [Google Scholar] [CrossRef]
- Wang, Y.; Zhang, Z.; Chen, L.; Guang, H.; Li, Z.; Yang, H.; Li, J.; You, D.; Yu, H.; Lai, R. Cathelicidin-BF, a snake cathelicidin-derived antimicrobial peptide, could be an excellent therapeutic agent for acne vulgaris. PLoS ONE 2011, 6, e22120. [Google Scholar] [CrossRef]
- Samy, R.P.; Gopalakrishnakone, P.; Stiles, B.G.; Girish, K.S.; Swamy, S.N.; Hemshekhar, M.; Tan, K.S.; Rowan, E.G.; Sethi, G.; Chow, V.T. Snake venom phospholipases A2: A novel tool against bacterial diseases. Curr. Med. Chem. 2012, 19, 6150–6162. [Google Scholar] [CrossRef]
- Allane, D.; Oussedik-Oumehdi, H.; Harrat, Z.; Seve, M.; Laraba-Djebari, F. Isolation and characterization of an anti-leishmanial disintegrin from Cerastes cerastes venom. J. Biochem. Mol. Toxicol. 2018, 32, e22018. [Google Scholar] [CrossRef] [PubMed]
- Barros, G.A.C.; Pereira, A.V.; Barros, L.C.; Lourenço, A., Jr.; Calvi, S.A.; Santos, L.D.; Barraviera, B.; Ferreira, R.S. In vitro activity of phospholipase A2 and of peptides from Crotalus durissus terrificus venom against amastigote and promastigote forms of Leishmania (L.) infantum chagasi. J. Venom. Anim. Toxins Incl. Trop. Dis. 2015, 21, 48. [Google Scholar] [CrossRef]
- Okumu, M.O.; Eyaan, K.L.; Bett, L.K.; Gitahi, N. Antibacterial Activity of Venom from the Puff Adder (Bitis arietans), Egyptian Cobra (Naja haje), and Red Spitting Cobra (Naja pallida). Int. J. Microbiol. 2023, 2023, 7924853. [Google Scholar] [CrossRef] [PubMed]
- Murdoch, B.; Kleinschmit, A.J.; Santibáñez-López, C.E.; Graham, M.R. Microbiota discovered in scorpion venom. bioRxiv 2025. [Google Scholar] [CrossRef]
- Yacoub, T.; Rima, M.; Karam, M.; Fajloun, J.Z. Antimicrobials from venomous animals: An overview. Molecules 2020, 25, 2402. [Google Scholar] [CrossRef]
- Teodoro, A.; Gonçalves, F.J.M.; Oliveira, H.; Marques, S. Venom of Viperidae: A perspective of its antibacterial and antitumor potential. Curr. Drug Targets 2022, 23, 126–144. [Google Scholar] [CrossRef]
- Almeida, J.R.; Palacios, A.L.V.; Patiño, R.S.P.; Mendes, B.; Teixeira, C.A.S.; Gomes, P.; da Silva, S.L. Harnessing snake venom phospholipases A2 to novel approaches for overcoming antibiotic resistance. Drug Dev. Res. 2019, 80, 68–85. [Google Scholar] [CrossRef]
- Schneider, R.; Primon-Barros, M.; Von Borowski, R.G.; Chat, S.; Nonin-Lecomte, S.; Gillet, R.; Macedo, A.J. Pseudonajide peptide derived from snake venom alters cell envelope integrity interfering on biofilm formation in Staphylococcus epidermidis. Res. Sq. 2020. [Google Scholar] [CrossRef]
- Fadum, J.M.; Borton, M.A.; Daly, R.A.; Wrighton, K.C.; Hall, E.K. Dominant nitrogen metabolisms of a warm, seasonally anoxic freshwater ecosystem revealed using genome resolved metatranscriptomics. mSystems 2024, 9, e0105923. [Google Scholar] [CrossRef]
- Paula, C.C.P.D.; Sirová, D.; Sarmento, H.; Fernandes, C.C.; Kishi, L.T.; Bichuette, M.E.; Seleghim, M.H.R. First report of halobacteria dominance in a tropical cave microbiome. bioRxiv 2021. [Google Scholar] [CrossRef]
- Martínez-Mota, R.; Vásquez-Aguilar, A.A.; Hernández-Rodríguez, D.; Suárez-Domínguez, E.A.; Krömer, T. Close neighbors, not intruders: Investigating the role of tank bromeliads in shaping faunal microbiomes. PeerJ 2025, 13, e19376. [Google Scholar] [CrossRef] [PubMed]
- Gallagher, T.; Roberts, S.; Silva-Sanchez, C.; Sutton, L.; Laventure, K. The use of serum protein analysis in the diagnosis of fatal envenomation via Crotalus horridus (timber rattlesnake). J. Forensic Sci. 2023, 68, 711–715. [Google Scholar] [CrossRef] [PubMed]
- Safika, S.; Indrawati, A.; Afiff, U.; Hastuti, Y.T.; Zureni, Z.; Jati, A.P. First Study on profiling of gut microbiome in wild and captive Sumatran orangutans (Pongo abelii). Vet. World 2023, 16, 717–727. [Google Scholar] [CrossRef]
- Fernández-Pato, A.; Sinha, T.; Gacesa, R.; Andreu-Sánchez, S.; Gois, M.F.B.; Gelderloos-Arends, J.; Jansen, D.B.H.; Kruk, M.; Jaeger, M.; Joosten, L.A.B.; et al. Choice of DNA extraction method affects stool microbiome recovery and subsequent phenotypic association analyses. Sci. Rep. 2024, 14, 3911. [Google Scholar] [CrossRef]
- Deikumah, J.P.; Biney, R.P.; Awoonor-Williams, J.K.; Gyakobo, M.K. Compendium of medically important snakes, venom activity and clinical presentations in Ghana. PLoS Negl. Trop. Dis. 2023, 17, e0011050. [Google Scholar] [CrossRef]
- Kanika, N.H.; Liaqat, N.; Chen, H.; Ke, J.; Lu, G.; Wang, J.; Wang, C. Fish gut microbiome and its application in aquaculture and biological conservation. Front. Microbiol. 2024, 15, 1521048. [Google Scholar] [CrossRef]
- Ostria-Hernández, M.L.; Hernández-Zulueta, J.; Vargas-Ponce, O.; Díaz-Pérez, L.; Araya, R.; Rodríguez-Troncoso, A.P.; Ríos-Jara, E.; Rodríguez-Zaragoza, F.A. Core microbiome of corals Pocillopora damicornis and Pocillopora verrucosa in the northeastern tropical Pacific. Mar. Ecol. 2022, 43, e12729. [Google Scholar] [CrossRef]
- Quek, J.J.W.; Wong, J.L.; Tan, J.L.; Yeo, C.C.; Saw, S.H. Integrating metagenomic and culture-based techniques to detect foodborne pathogens and antimicrobial resistance genes in Malaysian produce. Foods 2025, 14, 352. [Google Scholar] [CrossRef]
- Chen, Y.H.; Chiang, P.W.; Rogozin, D.Y.; Degermendzhy, A.G.; Chiu, H.H.; Tang, S.L. Salvaging complete and high-quality genomes of novel microbial species from a meromictic lake using a workflow combining long- and short-read sequencing platforms. bioRxiv 2021. [Google Scholar] [CrossRef]
- Lertsakulbunlue, S.; Suebtuam, R.; Eamchotchawalit, T.; Chantkran, W.; Chaisakul, J. Clinical profile and pharmacological management of snakebites in community care units: A retrospective study using two military hospital databases in South Thailand. Trop. Med. Infect. Dis. 2023, 8, 346. [Google Scholar] [CrossRef]
- Esmaeilishirazifard, E.; Usher, L.; Trim, C.; Denise, H.; Sangal, V.; Tyson, G.H.; Barlow, A.; Redway, K.F.; Taylor, J.D.; Kremyda-Vlachou, M.; et al. Bacterial adaptation to venom in snakes and Arachnida. Microbiol. Spectr. 2022, 10, e0240821. [Google Scholar] [CrossRef] [PubMed]
- Fredriksen, S.; Neila-Ibáñez, C.; Hennig-Pauka, I.; Guan, X.; Dunkelberger, J.; de Oliveira, I.F.; Ferrando, M.L.; Correa-Fiz, F.; Aragon, V.; Boekhorst, J.; et al. Streptococcus suis infection on European farms is associated with an altered tonsil microbiome and resistome. bioRxiv 2022. [Google Scholar] [CrossRef] [PubMed]
- Villa, M.A.; Tavares, C.O.; Moreira, G.C.; Mendes, C.A.C. Secondary infection with Aeromonas hydrophila and death of two patients with probable Bothrops envenomation. Rev. Soc. Bras. Med. Trop. 2025, 58, e04302024. [Google Scholar] [CrossRef] [PubMed]
- da Silva, A.R.S.; de Souza de Azevedo, P.O.; Converti, A.; de Souza Oliveira, R.P. Cultivation of lactic acid bacteria and evaluation of the antimicrobial potential of partially purified bacteriocin-like inhibitory substances against cariogenic and food pathogens. Fermentation 2022, 8, 400. [Google Scholar] [CrossRef]
- Andrade-Oliveira, A.L.; Rossi, C.C.; Souza-Silva, T.; Giambiagi-deMarval, M. Staphylococcus nepalensis, a commensal of the oral microbiota of domestic cats, is a reservoir of transferrable antimicrobial resistance. Microbiology 2020, 166, 727–734. [Google Scholar] [CrossRef]
- Augimeri, G.; Caparello, G.; Caputo, I.; Reda, R.; Testarelli, L.; Bonofiglio, D. Mediterranean diet: A potential player in the link between oral microbiome and oral diseases. J. Oral Microbiol. 2024, 16, 2329474. [Google Scholar] [CrossRef] [PubMed]



| Method | Description | Strengths | Limitations |
|---|---|---|---|
| Culture-dependent methods | Traditional method of isolating and growing microorganisms on selective media | Easy to perform, allows for phenotypic characterization, provides pure cultures for detailed studies | Limited to culturable organisms; many microbes are unculturable; may not represent the total community [15] |
| 16S rRNA gene Sequencing | Amplification and sequencing of a specific region of the 16S rRNA gene to identify taxonomic composition | Cost-effective, provides relatively quick insights into community diversity, minimal prior processing | Primarily reveals taxonomic composition, lacks functional insights, may miss rare species due to biases [16] |
| Full-Length 16S Sequencing | Utilizes long-read sequencing technology to obtain full-length 16S rRNA gene sequences | Accurate taxonomic identification, better resolution of chimeric sequences, comprehensive data on community structure | Higher costs, lower throughput than short-read sequencing, requires more advanced bioinformatics [15] |
| Shotgun Metagenomics | Random sequencing of fragments from all DNA in a sample to analyze the entire microbial community | Provides taxonomic and functional insights, detects rare and unculturable species, assesses metabolic pathways | High cost, challenging data analysis, requires large amounts of data storage, potential contamination issues [17] |
| Reference | Geographic Location | Targeted 16S Region | Snakes Species | Key Findings/Outcomes |
|---|---|---|---|---|
| Krishnankutty et al. (2018) [92] | Asia | V3 | Naja naja, Ophiophagus hannah, Python molurus | Proteobacteria and Actinobacteria were the most predominant phyla present in the oral cavities of snakes. A total of 147 bacterial species were identified. |
| Qin et al. (2019) [93] | Asia | High-throughput 16S rRNA sequencing | Deinagkistrodon, Naja, and Ptyas mucosa | 29 bacterial phyla and 545 bacterial genera were identified |
| Cong et al. (2025) [76] | Asia | Metagenomic shotgun sequencing | Oligodon formosanus, and Pareas chinensis | Proteobacteria, Bacteroidetes, Firmicutes, Verrucomicrobia, Actinobacteria, and Fusobacteria were the dominant phyla |
| Lin & Tsai, (2023) [42] | Asia | Full-length 16S rRNA | Naja atra, Bungarus multicinctus, Protobothrops mucrosquamatus, Trimeresurus stejnegeri, Daboia siamensis, Deinagkistrodon acutus and Trimeresurus gracilis | Proteobacteria, Bacteroidetes, and Firmicute were the dominant phyla. Up to 1064 bacterial species were identified. First study in Taiwan using full-length 16S rRNA sequencing to investigate oral microbiota of multiple snake species. |
| Smith et al., (2021) [77] | Asia | V4 | Laticauda laticaudata, Trimeresurus flavomaculatus and Boiga dendrophila | Dominant phyla included Proteobacteria, Bacteroidetes, Firmicutes, and Actinobacteria |
| Tang et al. (2019) [94] | Asia | V4 | Rhabdophis subminiatus | Examined microbiota across gastrointestinal segments. First study to investigate the distribution of the gut microbiota and to predict the microbial function. Forty-seven bacterial phyla were found in the entire GIT, of which Proteobacteria, Firmicutes, and Bacteroidetes were predominant. |
| Colston et al. (2015) [95] | North America | Variable region of the 16S rRNA gene (Region not specified) | Agkistrodon piscivorus | Firmicutes and Bacteroidetes were the most dominant phyla in the GIT |
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Young Yusty, S.; Prescilla-Ledezma, A. From Culture to Metagenomics: How Methodological Advances Reshape Our Understanding of the Oral Microbiota of Venomous Snakes. Microbiol. Res. 2025, 16, 233. https://doi.org/10.3390/microbiolres16110233
Young Yusty S, Prescilla-Ledezma A. From Culture to Metagenomics: How Methodological Advances Reshape Our Understanding of the Oral Microbiota of Venomous Snakes. Microbiology Research. 2025; 16(11):233. https://doi.org/10.3390/microbiolres16110233
Chicago/Turabian StyleYoung Yusty, Stephany, and Alexa Prescilla-Ledezma. 2025. "From Culture to Metagenomics: How Methodological Advances Reshape Our Understanding of the Oral Microbiota of Venomous Snakes" Microbiology Research 16, no. 11: 233. https://doi.org/10.3390/microbiolres16110233
APA StyleYoung Yusty, S., & Prescilla-Ledezma, A. (2025). From Culture to Metagenomics: How Methodological Advances Reshape Our Understanding of the Oral Microbiota of Venomous Snakes. Microbiology Research, 16(11), 233. https://doi.org/10.3390/microbiolres16110233

