META-ANALYSIS OF MICROBIAL DIVERSITY IN YOUNG CATS USING T-BIOINFO SERVER
DOI:
https://doi.org/10.55766/sujst-2024-06-e04790Keywords:
Feline microbiota, Gender-specific microbiota, Gut microbiome, Bronchoalveolar lavage fluid (BALF), Oropharyngeal microbiotaAbstract
The present computational study re-analyzes microbial diversity in young felines using NCBI data to explore site-specific and gender-related patterns. Microbial communities across four anatomical sites-the gut, oropharynx, bronchoalveolar lavage fluid (BALF), and blood-were examined using the T-BioInfo server. Gut microbiota showed high abundances of Bacteroidaceae and Lachnospiraceae, with gender-based variations, such as increased Bacteroidaceae in females. In the oropharynx, Pasteurellaceae predominated in males, while Moraxellaceae was higher in females. BALF analysis revealed Pseudomonadaceae as the most abundant family, with Sphingobacteriaceae more prevalent in females and Bradyrhizobiaceae in males. Blood samples contained Sphingobacteriaceae and Bradyrhizobiaceae, with notable gender differences: Sphingobacteriaceae was more abundant in females, and Bacteroidaceae was exclusive to female samples. These findings emphasize individual and gender-based microbiota diversity across body sites, highlighting the importance of such variations for future research and veterinary care.
References
Callahan, B.J., McMurdie, P.J., Rosen, M.J., Han, A.W., Johnson, A.J.A., and Holmes, S.P. (2016). DADA2: High-resolution sample inference from Illumina amplicon data. Nature Methods, 13(7):581-583. https://doi.org/10.1038/nmeth.3869
Caputi, V., Bastiaanssen, T.F., Peterson, V., Sajjad, J., Murphy, A., Stanton, C., and O'Mahony, S.M. (2022). Sex, pain, and the microbiome: The relationship between baseline gut microbiota composition, gender and somatic pain in healthy individuals. Brain, Behavior, and Immunity, 104:191-204. https://doi.org/10.1016/j.bbi.2022.02.006
Huang, W., Fu, K., Gao, Q., Tejo, R.P., Floeter-Winter, L.M., and Gutierrez, A.P. (Eds.). (2022). Host-microbe interaction and coevolution. Elsevier. https://doi.org/10.3389/978-2-88976-649-9
Karl, J.P., Hatch, A.M., Arcidiacono, S.M., Pearce, S.C., Pantoja-Feliciano, I.G., and Soares, J.W. (2018). Effects of psychological, environmental and physical stressors on the gut microbiota. Frontiers in Microbiology, 9:372026. https://doi.org/10.3389/fmicb.2018.00838
Kerr, K.R., Dowd, S.E., and Swanson, K.S. (2014). Faecal microbiota of domestic cats fed raw whole chicks v. an extruded chicken-based diet. Journal of Nutritional Science, 3:e22. https://doi.org/10.1017/jns.2014.22
Kim, Y., Carrai, M., Leung, M.H., Chin, J., Li, J., Lee, P. K., and Barrs, V.R. (2021). Dysbiosis of the urinary bladder microbiome in cats with chronic kidney disease. mSystems, 6(4):e00510-21. https://doi.org/10.1128/msystems.00510-21
Krumbeck, J.A., Reiter, A.M., Pohl, J.C., Tang, S., Kim, Y.J., Linde, A., and Melgarejo, T. (2021). Characterization of oral microbiota in cats: Novel insights on the potential role of fungi in feline chronic gingivostomatitis. Pathogens, 10(7):904. https://doi.org/10.3390/pathogens10070904
Ma, X., Brinker, E., Cao, W., Graff, E.C., and Wang, X. (2022). Effect of mineral oil as a lubricant to collect feces from cats for microbiome studies. Journal of Veterinary Internal Medicine, 36(5):1,728-1,736. https://doi.org/10.1111/jvim.16550
Moon, C.D., Young, W., Maclean, P.H., Cookson, A.L., and Bermingham, E.N. (2018). Metagenomic insights into the roles of Proteobacteria in the gastrointestinal microbiomes of healthy dogs and cats. MicrobiologyOpen, 7(5):e00677. https://doi.org/10.1002/mbo3.677
Nealon, N.J., Wood, A., Rudinsky, A.J., Klein, H., Salerno, M., Parker, V.J., and Winston, J.A. (2023). Fecal identification markers impact the feline fecal microbiota. Frontiers in Veterinary Science, 10. https://doi.org/10.3389/fvets.2023.1039931
Rodrigues, M.X., Bicalho, R.C., Fiani, N., Lima, S.F., and Peralta, S. (2019). The subgingival microbial community of feline periodontitis and gingivostomatitis: Characterization and comparison between diseased and healthy cats. Scientific Reports, 9(1):1-10. https://doi.org/10.1038/s41598-019-48852-4
Santos-Marcos, J.A., Mora-Ortiz, M., Tena-Sempere, M., Lopez-Miranda, J., and Camargo, A. (2023). Interaction between gut microbiota and sex hormones and their relation to sexual dimorphism in metabolic diseases. Biology of Sex Differences, 14(1):4. https://doi.org/10.1186/s13293-023-00490-2
Suchodolski, J.S. (2011). Intestinal microbiota of dogs and cats: A bigger world than we thought. Veterinary Clinics of North America: Small Animal Practice, 41(2):261-272. https://doi.org/10.1016/j.cvsm.2010.12.006
Taddese, R., Garza, D.R., Ruiter, L.N., de Jonge, M.I., Belzer, C., Aalvink, S., and Boleij, A. (2020). Growth rate alterations of human colorectal cancer cells by 157 gut bacteria. Gut Microbes, 12(1):1799733. https://doi.org/10.1080/19490976.2020.1799733
Tay, D.D., Siew, S.W., Kamal, S.S., Razali, M.N., and Ahmad, H.F. (2022). Full-length ITS1 genes amplicon analysis of gut mycobiome using Nanopore Flongle sequencing reveals unique fungal communities between indoor and outdoor felines in Malaysia. Journal of Fungi. (In press) https://doi.org/10.21203/rs.3.rs-1456898/v1
Tun, H.M., Brar, M.S., Khin, N., Jun, L., Hui, R.K.H., Dowd, S.E., and Leung, F.C.C. (2012). Gene-centric metagenomics analysis of feline intestinal microbiome using 454 junior pyrosequencing. Journal of Microbiological Methods, 88(3):369-376. https://doi.org/10.1016/j.mimet.2011.12.014
Valeri, F. and Endres, K. (2021). How biological sex of the host shapes its gut microbiota. Frontiers in Neuroendocrinology, 61:100912. https://doi.org/10.1016/j.yfrne.2021.100912
Vientos-Plotts, A.I. (2022). The respiratory microbiota of dogs and cats in health and disease: Expanding our breadth of knowledge. (Doctoral dissertation). University of Missouri-Columbia.
Vientos-Plotts, A.I., Ericsson, A.C., Rindt, H., Grobman, M.E., Graham, A., Bishop, K., and Reinero, C.R. (2017). Dynamic changes of the respiratory microbiota and its relationship to fecal and blood microbiota in healthy young cats. PLOS ONE, 12(3):e0173818. https://doi.org/10.1371/journal.pone.0173818
Zhang, K., Liu, G., Wu, Y., Zhang, T., Guo, M., Lei, Y., and Chen, Y. (2023). Gut microbial succession patterns and metabolic profiling during pregnancy and lactation in a goat model. Microbiology Spectrum, 11(1):e02955-22. https://doi.org/10.1128/spectrum.02955-22
Zhou, X., Shen, X., Johnson, J.S., Spakowicz, D.J., Agnello, M., Zhou, W., and Snyder, M.P. (2024). Longitudinal profiling of the microbiome at four body sites reveals core stability and individualized dynamics during health and disease. Cell Host and Microbe, 32(4):506-526. https://doi.org/10.1016/j.chom.2023.09.012
