El microbioma como herramienta emergente en la identificación humana: Perspectivas y aplicaciones forenses

Autores/as

DOI:

https://doi.org/10.70881/mcj/v4/n1/117

Palabras clave:

microbioma humano, genética forense, secuenciación de próxima generación, ARN ribosómico 16S

Resumen

En genética forense, los avances en biología molecular han permitido la identificación de sospechosos de un delito mediante el análisis de microsatélites. Sin embargo, cuando no se dispone de evidencia biológica humana para identificar al autor, la investigación tiene un alcance limitado. El microbioma humano se ha convertido en una nueva herramienta forense mediante el análisis de los perfiles microbianos característicos de cada individuo, según su ubicación dentro del cuerpo. Las técnicas de secuenciación empleadas son clave para determinar con mayor precisión las firmas microbianas utilizando plataformas y marcadores universales, como las regiones de ARN ribosómico 16S y las regiones espaciadoras transcritas internas (ITS). Las firmas microbianas pueden depositarse por contacto y persistir en el tiempo en condiciones ambientales que pueden influir en el análisis metagenómico y su interpretación. Por lo tanto, las aplicaciones del microbioma pueden abarcar desde la identificación de un sospechoso tras tocar un objeto o persona hasta su vinculación con la escena del crimen e incluso determinar su ubicación geográfica

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Referencias

Adserias-Garriga, J., Feirstein, S., Bell, D., Skropits, H., & Dirkmaat, D. C. (2024). Human identification through forensic skeletal analysis: Three case reviews. Forensic Sciences Research, 9(3). https://doi.org/10.1093/fsr/owae053 DOI: https://doi.org/10.1093/fsr/owae053

Anders, S., Kunz, M., Gehl, A., Sehner, S., Raupach, T., & Beck-Bornholdt, H. P. (2013). Estimation of the time since death-reconsidering the re-establishment of rigor mortis. International Journal of Legal Medicine, 127(1), 127–130. https://doi.org/10.1007/S00414-011-0632-Z DOI: https://doi.org/10.1007/s00414-011-0632-z

Belk, A., Xu, Z. Z., Carter, D. O., Lynne, A., Bucheli, S., Knight, R., & Metcalf, J. L. (2018). Microbiome data accurately predicts the postmortem interval using random forest regression models. Genes, 9(2). https://doi.org/10.3390/genes9020104 DOI: https://doi.org/10.3390/genes9020104

Benschop, C. C. G., Quaak, F. C. A., Boon, M. E., Sijen, T., & Kuiper, I. (2012). Vaginal microbial flora analysis by next generation sequencing and microarrays; can microbes indicate vaginal origin in a forensic context? International Journal of Legal Medicine, 126(2), 303–310. https://doi.org/10.1007/S00414-011-0660-8 DOI: https://doi.org/10.1007/s00414-011-0660-8

Bisker, C., Taylor, G., Carney, H., & Ralebitso-Senior, T. K. (2021). A Combined Application of Molecular Microbial Ecology and Elemental Analyses Can Advance the Understanding of Decomposition Dynamics. Frontiers in Ecology and Evolution, 9. https://doi.org/10.3389/fevo.2021.605817 DOI: https://doi.org/10.3389/fevo.2021.605817

Bukyya, J. L., Tejasvi, M. L. A., Avinash, A., P., C. H., Talwade, P., Afroz, M. M., Pokala, A., Neela, P. K., Shyamilee, T. K., & Srisha, V. (2021). DNA Profiling in Forensic Science: A Review. Global Medical Genetics, 08(04), 135–143. https://doi.org/10.1055/s-0041-1728689 DOI: https://doi.org/10.1055/s-0041-1728689

Butler, I., Turner, O., Mohammed, K., Akhtar, M., Evans, D., Lambourne, J., Harris, K., O’Sullivan, D. M., & Sergaki, C. (2025). Standardization of 16S rRNA gene sequencing using nanopore long read sequencing technology for clinical diagnosis of culture negative infections. Frontiers in Cellular and Infection Microbiology, 15, 1517208. https://doi.org/10.3389/FCIMB.2025.1517208/FULL DOI: https://doi.org/10.3389/fcimb.2025.1517208

Butler, J. M. (2011). Advanced Topics in Forensic DNA Typing: Methodology. https://doi.org/https://doi.org/10.1016/C2011-0-04189-3 DOI: https://doi.org/10.1016/C2011-0-04189-3

Butler, J. M. (2023). Recent advances in forensic biology and forensic DNA typing: INTERPOL review 2019–2022. Forensic Science International: Synergy, 6. https://doi.org/10.1016/j.fsisyn.2022.100311 DOI: https://doi.org/10.1016/j.fsisyn.2022.100311

Caenazzo, L., & Tozzo, P. (2021). Microbiome Forensic Biobanking: A Step toward Microbial Profiling for Forensic Human Identification. Healthcare, 9(10), 1371. https://doi.org/10.3390/HEALTHCARE9101371 DOI: https://doi.org/10.3390/healthcare9101371

Castillo-Ortiz, J., Salinas-Pineda, L., Huerta-Pacheco, N. S., & Guardado-Estrada, M. (2025). Foren-STR: a comprehensive tool for rapid calculation of forensic parameters from autosomal STR data. International Journal of Legal Medicine, 139(6), 2675–2679. https://doi.org/10.1007/s00414-025-03540-z DOI: https://doi.org/10.1007/s00414-025-03540-z

Cho, H. W., & Eom, Y. Bin. (2021). Forensic Analysis of Human Microbiome in Skin and Body Fluids Based on Geographic Location. Frontiers in Cellular and Infection Microbiology, 11, 695191. https://doi.org/10.3389/FCIMB.2021.695191 DOI: https://doi.org/10.3389/fcimb.2021.695191

Dass, M., Abbai, N. S., & Ghai, M. (2025). The human skin microbiome: factors affecting individuality and application in forensic investigations. International Journal of Legal Medicine 2025, 1–18. https://doi.org/10.1007/S00414-025-03610-2 DOI: https://doi.org/10.1007/s00414-025-03610-2

Davidson, I. M., Nikbakht, E., Haupt, L. M., Ashton, K. J., & Dunn, P. J. (2024). Methodological approaches in 16S sequencing of female reproductive tract in fertility patients: a review. Journal of Assisted Reproduction and Genetics, 42(1), 15. https://doi.org/10.1007/S10815-024-03292-6 DOI: https://doi.org/10.1007/s10815-024-03292-6

DeBruyn, J. M., & Hauther, K. A. (2017). Postmortem succession of gut microbial communities in deceased human subjects. PeerJ, 2017(6). https://doi.org/10.7717/peerj.3437 DOI: https://doi.org/10.7287/peerj.preprints.2777v1

Dixon, R., Egan, S., Payne, M., Mullally, C., & Chapman, B. (2025). Bacterial transfer during sexual intercourse as a tool for forensic detection. IScience, 28(2). https://doi.org/10.1016/j.isci.2025.111861 DOI: https://doi.org/10.1016/j.isci.2025.111861

Dou, S., Ma, G., Liang, Y., Fu, G., Shen, J., Fu, L., Wang, Q., Li, T., Cong, B., & Li, S. (2023). Preliminary exploratory research on the application value of oral and intestinal meta-genomics in predicting subjects’ occupations–A case study of the distinction between students and migrant workers. Frontiers in Microbiology, 14. https://doi.org/10.3389/fmicb.2023.1330603 DOI: https://doi.org/10.3389/fmicb.2023.1330603

Fierer, N., Lauber, C. L., Zhou, N., McDonald, D., Costello, E. K., & Knight, R. (2010). Forensic identification using skin bacterial communities. 107(14), 6477–6481. https://doi.org/10.1073/pnas.1000162107 DOI: https://doi.org/10.1073/pnas.1000162107

FMD : Forensic Microbiome Database. (n.d.). Retrieved September 17, 2025, from http://fmd.jcvi.org/

Franceschetti, L., Lodetti, G., Blandino, A., Amadasi, A., & Bugelli, V. (2024a). Exploring the role of the human microbiome in forensic identification: opportunities and challenges. In International Journal of Legal Medicine (Vol. 138, Issue 5, pp. 1891–1905). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/s00414-024-03217-z

Franceschetti, L., Lodetti, G., Blandino, A., Amadasi, A., & Bugelli, V. (2024b). Exploring the role of the human microbiome in forensic identification: opportunities and challenges. International Journal of Legal Medicine, 138(5), 1891–1905. https://doi.org/10.1007/S00414-024-03217-Z DOI: https://doi.org/10.1007/s00414-024-03217-z

Fu, J., Song, B., Qian, J., Cheng, J., Chiampanichayakul, S., Anuchapreeda, S., & Fu, J. (2025). Exploring the Post Mortem Interval (PMI) Estimation Model by circRNA circRnf169 in Mouse Liver Tissue. International Journal of Molecular Sciences 2025, Vol. 26, Page 1046, 26(3), 1046. https://doi.org/10.3390/IJMS26031046 DOI: https://doi.org/10.3390/ijms26031046

Ghemrawi, M., Torres, A. R., Duncan, G., Colwell, R., Dadlani, M., & McCord, B. (2021). The genital microbiome and its potential for detecting sexual assault. Forensic Science International: Genetics, 51. https://doi.org/10.1016/j.fsigen.2020.102432 DOI: https://doi.org/10.1016/j.fsigen.2020.102432

Gosch, A., Euteneuer, J., Preuß-Wössner, J., & Courts, C. (2020). DNA transfer to firearms in alternative realistic handling scenarios. Forensic Science International: Genetics, 48. https://doi.org/10.1016/j.fsigen.2020.102355 DOI: https://doi.org/10.1016/j.fsigen.2020.102355

Gouello, A., Henry, L., Chadli, D., Salipante, F., Gibert, J., Boutet-Dubois, A., & Lavigne, J. P. (2024a). Evaluation of the Microbiome Identification of Forensically Relevant Biological Fluids: A Pilot Study. Diagnostics, 14(2). https://doi.org/10.3390/diagnostics14020187

Gouello, A., Henry, L., Chadli, D., Salipante, F., Gibert, J., Boutet-Dubois, A., & Lavigne, J. P. (2024b). Evaluation of the Microbiome Identification of Forensically Relevant Biological Fluids: A Pilot Study. Diagnostics 2024, Vol. 14, Page 187, 14(2), 187. https://doi.org/10.3390/DIAGNOSTICS14020187 DOI: https://doi.org/10.3390/diagnostics14020187

Gutiérrez-Hurtado, I. A., García-Acéves, M. E., Puga-Carrillo, Y., Guardado-Estrada, M., Becerra-Loaiza, D. S., Carrillo-Rodríguez, V. D., Plazola-Zamora, R., Godínez-Rubí, J. M., Rangel-Villalobos, H., & Aguilar-Velázquez, J. A. (2025). Past, Present and Future Perspectives of Forensic Genetics. In Biomolecules (Vol. 15, Issue 5). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/biom15050713 DOI: https://doi.org/10.3390/biom15050713

Haarkötter, C., Saiz, M., Gálvez, X., Medina-Lozano, M. I., Álvarez, J. C., & Lorente, J. A. (2021). Usefulness of Microbiome for Forensic Geolocation: A Review. Life 2021, Vol. 11, Page 1322, 11(12), 1322. https://doi.org/10.3390/LIFE11121322 DOI: https://doi.org/10.3390/life11121322

Hampton-Marcell, J. T., Larsen, P., Anton, T., Cralle, L., Sangwan, N., Lax, S., Gottel, N., Salas-Garcia, M., Young, C., Duncan, G., Lopez, J. V., & Gilbert, J. A. (2020). Detecting personal microbiota signatures at artificial crime scenes. Forensic Science International, 313. https://doi.org/10.1016/j.forsciint.2020.110351 DOI: https://doi.org/10.1016/j.forsciint.2020.110351

Kaszubinski, S. F., Pechal, J. L., Smiles, K., Schmidt, C. J., Jordan, H. R., Meek, M. H., & Benbow, M. E. (2020). Dysbiosis in the Dead: Human Postmortem Microbiome Beta-Dispersion as an Indicator of Manner and Cause of Death. Frontiers in Microbiology, 11. https://doi.org/10.3389/FMICB.2020.555347 DOI: https://doi.org/10.3389/fmicb.2020.555347

Kimura, H., Sugihara, M., Kato, K., & Hanada, S. (2006). Selective phylogenetic analysis targeted at 16S rRNA genes of thermophiles and hyperthermophiles in deep-subsurface geothermal environments. Applied and Environmental Microbiology, 72(1), 21–27. https://doi.org/10.1128/AEM.72.1.21-27.2006 DOI: https://doi.org/10.1128/AEM.72.1.21-27.2006

Lee, S. Y., Woo, S. K., Lee, S. M., & Eom, Y. Bin. (2016). Forensic analysis using microbial community between skin bacteria and fabrics. Toxicology and Environmental Health Sciences, 8(3), 263–270. https://doi.org/10.1007/S13530-016-0284-Y DOI: https://doi.org/10.1007/s13530-016-0284-y

Lei, Y., Li, M., Zhang, H., Deng, Y., Dong, X., Chen, P., Li, Y., Zhang, S., Li, C., Wang, S., & Tao, R. (2025a). Comparative analysis of the human microbiome from four different regions of China and machine learning-based geographical inference. MSphere, 10(1). https://doi.org/10.1128/msphere.00672-24

Lei, Y., Li, M., Zhang, H., Deng, Y., Dong, X., Chen, P., Li, Y., Zhang, S., Li, C., Wang, S., & Tao, R. (2025b). Comparative analysis of the human microbiome from four different regions of China and machine learning-based geographical inference. MSphere, 10(1). https://doi.org/10.1128/msphere.00672-24 DOI: https://doi.org/10.1128/msphere.00672-24

Liu, Z., Liu, J., Geng, J., Wu, E., Zhu, J., Cong, B., Wu, R., & Sun, H. (2024). Metatranscriptomic characterization of six types of forensic samples and its potential application to body fluid/tissue identification: A pilot study. Forensic Science International: Genetics, 68. https://doi.org/10.1016/j.fsigen.2023.102978 DOI: https://doi.org/10.1016/j.fsigen.2023.102978

Lovisolo, F., Ogbanga, N., Sguazzi, G., Renò, F., Migliario, M., Nelson, A., Procopio, N., & Gino, S. (2022). Oral and skin microbiome as potential tools in forensic field. Forensic Science International: Genetics Supplement Series, 8, 65–67. https://doi.org/10.1016/j.fsigss.2022.09.024 DOI: https://doi.org/10.1016/j.fsigss.2022.09.024

Lyte, J. M., Seyoum, M. M., Ayala, D., Kers, J. G., Caputi, V., Johnson, T., Zhang, L., Rehberger, J., Zhang, G., Dridi, S., Hale, B., De Oliveira, J. E., Grum, D., Smith, A. H., Kogut, M., Ricke, S. C., Ballou, A., Potter, B., & Proszkowiec-Weglarz, M. (2025). Do we need a standardized 16S rRNA gene amplicon sequencing analysis protocol for poultry microbiota research? Poultry Science, 104(7), 105242. https://doi.org/10.1016/J.PSJ.2025.105242 DOI: https://doi.org/10.1016/j.psj.2025.105242

Ma, Y., Chen, H., Lan, C., & Ren, J. (2018). Help, hope and hype: ethical considerations of human microbiome research and applications. Protein & Cell 2018 9:5, 9(5), 404–415. https://doi.org/10.1007/S13238-018-0537-4 DOI: https://doi.org/10.1007/s13238-018-0537-4

McGuire, A. L., Colgrove, J., Whitney, S. N., Diaz, C. M., Bustillos, D., & Versalovic, J. (2008). Ethical, legal, and social considerations in conducting the Human Microbiome Project. Genome Research, 18(12), 1861. https://doi.org/10.1101/GR.081653.108 DOI: https://doi.org/10.1101/gr.081653.108

Moitas, B., Caldas, I. M., & Sampaio-Maia, B. (2023). Microbiology and postmortem interval: a systematic review. Forensic Science, Medicine, and Pathology, 20(2), 696. https://doi.org/10.1007/S12024-023-00733-Z DOI: https://doi.org/10.1007/s12024-023-00733-z

Nilsson, R. H., Ryberg, M., Abarenkov, K., Sjökvist, E., & Kristiansson, E. (2009). The ITS region as a target for characterization of fungal communities using emerging sequencing technologies. FEMS Microbiology Letters, 296(1), 97–101. https://doi.org/10.1111/j.1574-6968.2009.01618.x DOI: https://doi.org/10.1111/j.1574-6968.2009.01618.x

Nodari, R., Arghittu, M., Bailo, P., Cattaneo, C., Creti, R., D’Aleo, F., Saegeman, V., Franceschetti, L., Novati, S., Fernández-Rodríguez, A., Verzeletti, A., Farina, C., & Bandi, C. (2024). Forensic Microbiology: When, Where and How. Microorganisms 2024, Vol. 12, Page 988, 12(5), 988. https://doi.org/10.3390/MICROORGANISMS12050988 DOI: https://doi.org/10.3390/microorganisms12050988

Noyes, N., Cho, K. C., Ravel, J., Forney, L. J., & Abdo, Z. (2018). Associations between sexual habits, menstrual hygiene practices, demographics and the vaginal microbiome as revealed by Bayesian network analysis. PLoS ONE, 13(1). https://doi.org/10.1371/journal.pone.0191625 DOI: https://doi.org/10.1371/journal.pone.0191625

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. In BMJ (Vol. 372). BMJ Publishing Group. https://doi.org/10.1136/bmj.n71 DOI: https://doi.org/10.1136/bmj.n71

Parfrey, L. W., Walters, W. A., Lauber, C. L., Clemente, J. C., Berg-Lyons, D., Teiling, C., Kodira, C., Mohiuddin, M., Brunelle, J., Driscoll, M., Fierer, N., Gilbert, J. A., & Knight, R. (2014). Communities of microbial eukaryotes in the mammalian gut within the context of environmental eukaryotic diversity. Frontiers in Microbiology, 5(JUN). https://doi.org/10.3389/fmicb.2014.00298 DOI: https://doi.org/10.3389/fmicb.2014.00298

Phan, K., Barash, M., Spindler, X., Gunn, P., & Roux, C. (2020). Retrieving forensic information about the donor through bacterial profiling. International Journal of Legal Medicine, 134(1), 21–29. https://doi.org/10.1007/s00414-019-02069-2 DOI: https://doi.org/10.1007/s00414-019-02069-2

Pittner, S., Bugelli, V., Eric Benbow, M., Ehrenfellner, B., Zissler, A., Campobasso, C. P., Oostra, R. J., Aalders, M. C. G., Zehner, R., Lutz, L., Monticelli, F. C., Staufer, C., Helm, K., Pinchi, V., Receveur, J. P., Geißenberger, J., Steinbacher, P., & Amendt, J. (2020). The applicability of forensic time since death estimation methods for buried bodies in advanced decomposition stages. PLoS ONE, 15(12 December). https://doi.org/10.1371/journal.pone.0243395 DOI: https://doi.org/10.1371/journal.pone.0243395

Procopio, N., Sguazzi, G., Eriksson, E. V., Ogbanga, N., McKell, F. C., Newton, E. P., Magni, P. A., Bonicelli, A., & Gino, S. (2024). Transferability of Human and Environmental Microbiome on Clothes as a Tool for Forensic Investigations. Genes, 15(3). https://doi.org/10.3390/genes15030375 DOI: https://doi.org/10.3390/genes15030375

Robinson, J. M., Pasternak, Z., Mason, C. E., & Elhaik, E. (2021). Forensic Applications of Microbiomics: A Review. In Frontiers in Microbiology (Vol. 11). Frontiers Media S.A. https://doi.org/10.3389/fmicb.2020.608101 DOI: https://doi.org/10.3389/fmicb.2020.608101

Schmedes, S. E., Woerner, A. E., & Budowle, B. (2017a). Forensic Human Identification Using Skin Microbiomes. https://doi.org/10.1128/AEM

Schmedes, S. E., Woerner, A. E., & Budowle, B. (2017b). Forensic Human Identification Using Skin Microbiomes. https://doi.org/10.1128/AEM DOI: https://doi.org/10.1128/AEM.01672-17

Schmedes, S. E., Woerner, A. E., Novroski, N. M. M., Wendt, F. R., King, J. L., Stephens, K. M., & Budowle, B. (2018). Targeted sequencing of clade-specific markers from skin microbiomes for forensic human identification. Forensic Science International: Genetics, 32, 50–61. https://doi.org/10.1016/j.fsigen.2017.10.004 DOI: https://doi.org/10.1016/j.fsigen.2017.10.004

Schoch, C. L., Seifert, K. A., Huhndorf, S., Robert, V., Spouge, J. L., Levesque, C. A., Chen, W., Bolchacova, E., Voigt, K., Crous, P. W., Miller, A. N., Wingfield, M. J., Aime, M. C., An, K. D., Bai, F. Y., Barreto, R. W., Begerow, D., Bergeron, M. J., Blackwell, M., … Schindel, D. (2012). Nuclear ribosomal internal transcribed spacer (ITS) region as a universal DNA barcode marker for Fungi. Proceedings of the National Academy of Sciences of the United States of America, 109(16), 6241–6246. https://doi.org/10.1073/pnas.1117018109 DOI: https://doi.org/10.1073/pnas.1207508109

Schuwirth, B. S., Borovinskaya, M. A., Hau, C. W., Zhang, W., Vila-Sanjurjo, A., Holton, J. M., & Cate, J. H. D. (2005). Structures of the bacterial ribosome at 3.5 Å resolution. Science, 310(5749), 827–834. https://doi.org/10.1126/science.1117230 DOI: https://doi.org/10.1126/science.1117230

Secco, L., Palumbi, S., Padalino, P., Grosso, E., Perilli, M., Casonato, M., Cecchetto, G., & Viel, G. (2025). “Omics” and Postmortem Interval Estimation: A Systematic Review. International Journal of Molecular Sciences, 26(3), 1034. https://doi.org/10.3390/IJMS26031034/S1 DOI: https://doi.org/10.3390/ijms26031034

Selway, C. A., Eisenhofer, R., & Weyrich, L. S. (2020). Microbiome applications for pathology: challenges of low microbial biomass samples during diagnostic testing. The Journal of Pathology: Clinical Research, 6(2), 97. https://doi.org/10.1002/CJP2.151 DOI: https://doi.org/10.1002/cjp2.151

Servicio Nacional de Medicina Legal y Ciencias Forenses. (2023). Informe Preliminar de Rendición de Cuentas. chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.cienciasforenses.gob.ec/wp-content/uploads/2024/03/Informe-preliminar-de-Rendicio%CC%81n-de-Cuentas-2023-SNMLCF.pdf?utm_source

Sguazzi, G., Mickleburgh, H. L., Ghignone, S., Voyron, S., Renò, F., Migliario, M., Sellitto, F., Lovisolo, F., Camurani, G., Ogbanga, N., Gino, S., & Procopio, N. (2022). Microbial DNA in human nucleic acid extracts: Recoverability of the microbiome in DNA extracts stored frozen long-term and its potential and ethical implications for forensic investigation. Forensic Science International: Genetics, 59. https://doi.org/10.1016/j.fsigen.2022.102686 DOI: https://doi.org/10.1016/j.fsigen.2022.102686

Sherier, A. J., Woerner, A. E., & Budowle, B. (2022). Determining Informative Microbial Single Nucleotide Polymorphisms for Human Identification. Applied and Environmental Microbiology, 88(7). https://doi.org/10.1128/aem.00052-22 DOI: https://doi.org/10.1128/aem.00052-22

Shrestha, R., Kanchan, T., & Krishan, K. (2023). Methods of Estimation of Time Since Death. StatPearls. https://www.ncbi.nlm.nih.gov/books/NBK549867/

Sreekutti, S., Ndomondo, S., Sharma, P., Patel, R., & Mevada, V. (2025). Forensic application of metagenomics: Methods and future directions. Journal of Microbiological Methods, 239. https://doi.org/10.1016/J.MIMET.2025.107300 DOI: https://doi.org/10.1016/j.mimet.2025.107300

Suvitha, M. R., Sona, A. S. A., Jose, L., Priyatha, C. V., & Prasad, M. S. S. (2025). Application of Microbiome in Forensics: A Critical Review. Journal of Pure and Applied Microbiology, 19(4), 2441–2456. https://doi.org/10.22207/JPAM.19.4.37 DOI: https://doi.org/10.22207/JPAM.19.4.37

Tozzo, P., D’angiolella, G., Brun, P., Castagliuolo, I., Gino, S., & Caenazzo, L. (2020). Skin Microbiome Analysis for Forensic Human Identification: What Do We Know So Far? Microorganisms, 8(6), 1–19. https://doi.org/10.3390/MICROORGANISMS8060873 DOI: https://doi.org/10.3390/microorganisms8060873

Udogadi, N. S., Abdullahi, M. K., Bukola, A. T., Imose, O. P., & Esewi, A. D. (2020). Forensic dna profiling: Autosomal short tandem repeat as a prominent marker in crime investigation. In Malaysian Journal of Medical Sciences (Vol. 27, Issue 4, pp. 22–35). Penerbit Universiti Sains Malaysia. https://doi.org/10.21315/mjms2020.27.4.3 DOI: https://doi.org/10.21315/mjms2020.27.4.3

van Oorschot, R. A. H., Meakin, G. E., Kokshoorn, B., Goray, M., & Szkuta, B. (2021). DNA transfer in forensic science: recent progress towards meeting challenges. In Genes (Vol. 12, Issue 11). MDPI. https://doi.org/10.3390/genes12111766 DOI: https://doi.org/10.3390/genes12111766

Wang, S., Song, F., Gu, H., Wei, X., Zhang, K., Zhou, Y., & Luo, H. (2022). Comparative Evaluation of the Salivary and Buccal Mucosal Microbiota by 16S rRNA Sequencing for Forensic Investigations. Frontiers in Microbiology, 13. https://doi.org/10.3389/fmicb.2022.777882 DOI: https://doi.org/10.3389/fmicb.2022.777882

Y, K., & Isukapatla, A. R. (2025). Postmortem Microbiome dynamics: Review of forensic microbial clock. Journal of Forensic and Legal Medicine, 103024. https://doi.org/10.1016/J.JFLM.2025.103024 DOI: https://doi.org/10.1016/j.jflm.2025.103024

Yılmaz, S. S., Kuşkucu, M. A., Çakan, H., & Aygün, G. (2024). Effective use of skin microbiome signatures for fingerprint identification. Skin Research and Technology, 30(9). https://doi.org/10.1111/srt.70052 DOI: https://doi.org/10.1111/srt.70052

Zhang, J., Liu, W., Simayijiang, H., Hu, P., & Yan, J. (2022). Application of Microbiome in Forensics. Genomics, Proteomics & Bioinformatics, 21(1), 97. https://doi.org/10.1016/J.GPB.2022.07.007

Zhang, J., Liu, W., Simayijiang, H., Hu, P., & Yan, J. (2023). Application of Microbiome in Forensics. In Genomics, Proteomics and Bioinformatics (Vol. 21, Issue 1, pp. 97–107). Beijing Genomics Institute. https://doi.org/10.1016/j.gpb.2022.07.007 DOI: https://doi.org/10.1016/j.gpb.2022.07.007

Zhang, J., Wang, M., Qi, X., Shi, L., Zhang, J., Zhang, X., Yang, T., Ren, J., Liu, F., Zhang, G., & Yan, J. (2021). Predicting the postmortem interval of burial cadavers based on microbial community succession. Forensic Science International: Genetics, 52. https://doi.org/10.1016/j.fsigen.2021.102488 DOI: https://doi.org/10.1016/j.fsigen.2021.102488

Zhang, J., Yu, D., Wang, T., Gao, N., Shi, L., Wang, Y., Huo, Y., Ji, Z., Li, J., Zhang, X., Zhang, L., & Yan, J. (2024). Body fluids should be identified before estimating the time since deposition (TsD) in microbiome-based stain analyses for forensics. Microbiology Spectrum, 12(4). https://doi.org/10.1128/spectrum.02480-23 DOI: https://doi.org/10.1128/spectrum.02480-23

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2026-01-29

Cómo citar

Loyola, L. A., Guevara-Ramírez, P., & Valera-Hurtado, E. E. (2026). El microbioma como herramienta emergente en la identificación humana: Perspectivas y aplicaciones forenses. Multidisciplinary Collaborative Journal, 4(1), 166-187. https://doi.org/10.70881/mcj/v4/n1/117

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