DOI QR코드

DOI QR Code

Effects of Dietary Ptecticus tenebrifer on the Fecal Microbiomes of Bichon Frise

동애등에 사료 급여가 반려견의 분변내 미생물에 미치는 영향

  • Choi, In-Hag (Department of Companion Animal & Animal Resources Science, Joongbu University) ;
  • Park, Kwan-Ho (National Institute of Agricultural Science, Rural Development Administration) ;
  • Choi, Sung-Up (Department of Companion Animal & Animal Resources Science, Joongbu University) ;
  • Jung, Yeon-Woo (Department of Companion Animal & Animal Resources Science, Joongbu University) ;
  • Kim, San (Microbiome Interaction Laboratory, BRD Korea Institute) ;
  • Park, Chan-Yeong (Microbiome Interaction Laboratory, BRD Korea Institute) ;
  • Chung, Tae-Ho (Department of Companion Animal & Animal Resources Science, Joongbu University)
  • 최인학 (중부대학교 애완동물자원학전공) ;
  • 박관호 (농촌진흥청국립농업과학원) ;
  • 최성업 (중부대학교 애완동물자원학전공) ;
  • 정연우 (중부대학교 애완동물자원학전공) ;
  • 김산 (비알디코리아) ;
  • 박찬영 (비알디코리아) ;
  • 정태호 (중부대학교 애완동물자원학전공)
  • Received : 2022.05.06
  • Accepted : 2022.06.07
  • Published : 2022.06.30

Abstract

This study aimed to investigate the effects of dietary Ptecticus tenebrifer on the fecal microbiomes of bichon frise. A total of 16 bichon frise dogs (average weight, 2 kg) were randomly allotted to 4 dietary treatments (4 dogs/group): general pet food, two types of domestic pet food containing Ptecticus tenebrifer, and one imported pet food containing Ptecticus tenebrifer. In the controls, Firmicutes accounted for the highest proportion (82%) at the phylum level in the fecal microbiomes. The Tax4Fun2's functional prediction program indicated that the control groups showed a relatively high amount of obesity-related microorganisms; the pathways included three types of carbohydrate metabolism. Among the treatments, Firmicutes abundances was the least in the treatments with the two types of domestic pet food containing Ptecticus tenebrifer; this did not affect the functional prediction of Tax4Fun2. In conclusion, the two types of domestic feed with Ptecticus tenebrifer were healthy and suitable for bichon frise; they could be beneficial in terms of obesity.

Keywords

Acknowledgement

본 연구는 농촌진흥청연구사업(동애등에의 동물사료 최적화 접목기술개발: PJ015818032021)의 지원에 의해 이루어진 것입니다.

References

  1. Amplicon PCR., 2013, 16s metagenomic sequencing library preparation." Illumina: San Diego, CA, USA.
  2. Callahan, B. J., McMurdie, P. J., Rosen, M. J., Han, A. W., Johnson, A. J., Holmes, S. P., 2016, DADA2: High-resolution sample inference from Illumina amplicon data., Nat. methods., 13, 581-583. https://doi.org/10.1038/nmeth.3869
  3. Choi, J., Lee, S., Won, J., Jin, Y., Hong, Y., Hur, T. Y., Kim, J. H., Lee, S. R., Hong, Y., 2018, Pathophysiological and neurobehavioral characteristics of a propionic acid-mediated autism-like rat model, PLoS One., 13, e0192925. https://doi.org/10.1371/journal.pone.0192925
  4. Choi, J. H., Hong, Y. G., 2020, The comprehension of composition, diversity, related diseases, and treatment of the gut microbiome in companion dogs: friend or foe?, J. Life Sci., 30, 1021-1032. https://doi.org/10.5352/JLS.2020.30.11.1021
  5. Everard, A., Belzer, C., Geurts, L.,Ouwerkerk, J. P., Druart, C., Bindels, L. B., Guiot, Y., Derrien, M., Muccioli, G. G., Delzenne, N. M., de Vos, W. M., Cani, P. D., 2013, Cross-talk between Akkermansiamuciniphila and intestinal epithelium controls diet-induced obesity, Proc Natl AcadSci USA., 110, 9066-9071. https://doi.org/10.1073/pnas.1219451110
  6. Grzeskowiak, L., Endo, A., Beasley, S., Salminen, S., 2015, Microbiota and probiotics in canine and feline welfare, Anaerobe., 34, 14-23. https://doi.org/10.1016/j.anaerobe.2015.04.002
  7. Hsiao, E. Y., McBride, S. W., Hsien, S., Sharon, G., Hyde, E. R., McCue, T., Codelli, J. A., Chow, J., Reisman, S. E., Petrosino, J. F., Patterson, P. H., Mazmanian, S. K., 2013, Microbiota modulate behavioral and physiological abnormalities associated with neurodevelopmental disorders, Cell., 155, 1451-1463. https://doi.org/10.1016/j.cell.2013.11.024
  8. Ilinskaya, O. N.,Ulyanova, V. V., Yarullina, D. R., Gataullin, I. G., 2017, Secretome of intestinal Bacilli: a natural guard against pathologies, Front. Microbiol., 8, 1666. https://doi.org/10.3389/fmicb.2017.01666
  9. Ishinashi, N., Shimamura, S., 1993, Bifidobacteria: Research and development in Japan, Food Technol., 6, 126-129.
  10. Kim, E. S., Park, J. Y., Lee, S. H., Kim, Y. G., 2014, Identification and physiological characters of intestinal bacteria of the black soldier fly, Hermetiaillucens, Korean J. Appl. Entomol., 53, 15-26. https://doi.org/10.5656/KSAE.2013.09.0.049
  11. Ley, R. E., Backhed, F., Turnbaugh, P., Lozupone, C. A., Knight, R. D., Gordon, J. I., 2005, Obesity alters gut microbial ecology, Proc Natl AcadSci.,102, 11070-11075. https://doi.org/10.1073/pnas.0504978102
  12. Murtagh, F., Legendre, P., 2014, Ward's hierarchical agglomerative clustering method: which algorithms implement Ward's criterion?, J. Classif,, 31, 274-295. https://doi.org/10.1007/s00357-014-9161-z
  13. Park, J., Lee, S., Lee, H., Kim, Y., 2013, Effect of stress sound on the development of the black soldier fly, Hermetiaillucens, Korean J. Appl. Entomol., 52, 227-237. https://doi.org/10.5656/KSAE.2013.06.0.025
  14. Quast, C., Pruesse, E., Yilmaz, P., Gerken, J., Schweer, T., Yarza, P., Peplies, J., Glockner, F. O., 2012, The SILVA ribosomal RNA gene database project: improved data processing and web-based tools, Nucleic acids Res., 41, D590-D596. https://doi.org/10.1093/nar/gks1219
  15. Sze, M. A., Schloss, P. D., 2016, Looking for a Signal in the Noise: Revisiting Obesity and the Microbiome, MBio., 7, e01018-16.
  16. Surendra, K. C., Olivier, R., Tomberlin, J. K., Jha, R., Khanal, S. K., 2016, Bioconversion of organic wastes into biodiesel and animal feed via insect farming, Renew. Energy., 98, 197-202. https://doi.org/10.1016/j.renene.2016.03.022
  17. Swanson, K. S., Dowd, S. E., Suchodolski, J. S., Middelbos, I. S.,Vester, B. M., Barry, K. A., Nelson, K. E.,Torralba, M.,Henrissat, B.,Coutinho, P. M.,Cann, I. K. O., White, B. A., Fahey, G. C., 2011, Phylogenetic and gene-centric metagenomics of the canine intestinal microbiome reveals similarities with humans and mice, IMSE J., 5, 639-649.
  18. Wemheuer, F., Taylor, J. A., Daniel, R., Johnston, E., Meinicke, P., Thomas, T., WemheuerWemheuer, B., 2020, Tax4Fun2: prediction of habitat-specific functional profiles and functional redundancy based on 16S rRNA gene sequences, Environ. Microbiomes., 15, 1-12. https://doi.org/10.1186/s40793-019-0349-z