Analyze Diet
BMC veterinary research2024; 20(1); 306; doi: 10.1186/s12917-024-04166-w

Assessment of fecal bacterial viability and diversity in fresh and frozen fecal microbiota transplant (FMT) product in horses.

Abstract: Currently, lack of standardization for fecal microbiota transplantation (FMT) in equine practice has resulted in highly variable techniques, and there is no data on the bacterial metabolic activity or viability of the administered product. The objectives of this study were to compare the total and potentially metabolically active bacterial populations in equine FMT, and assess the effect of different frozen storage times, buffers, and temperatures on an equine FMT product. Fresh feces collected from three healthy adult horses was subjected to different storage methods. This included different preservation solutions (saline plus glycerol or saline only), temperature (-20 °C or -80 °C), and time (fresh, 30, 60, or 90 days). Samples underwent DNA extraction to assess total bacterial populations (both live and dead combined) and RNA extraction followed by reverse transcription to cDNA as a proxy to assess viable bacteria, then 16s rRNA gene amplicon sequencing using the V1-V2 region. Results: The largest difference in population indices and taxonomic composition at the genus level was seen when evaluating the results of DNA-based (total) and cDNA-based (potentially metabolically active) extraction method. At the community level, alpha diversity (observed species, Shannon diversity) was significantly decreased in frozen samples for DNA-based analysis (P < 0.05), with less difference seen for cDNA-based sequencing. Using DNA-based analysis, length of storage had a significant impact (P < 0.05) on the bacterial community profiles. For potentially metabolically active populations, storage overall had less of an effect on the bacterial community composition, with a significant effect of buffer (P < 0.05). Individual horse had the most significant effect within both DNA and cDNA bacterial communities. Conclusions: Frozen storage of equine FMT material can preserve potentially metabolically active bacteria of the equine fecal microbiome, with saline plus glycerol preservation more effective than saline alone. Larger studies are needed to determine if these findings apply to other individual horses. The ability to freeze FMT material for use in equine patients could allow for easier clinical use of fecal transplant in horses with disturbances in their intestinal microbiome.
Publication Date: 2024-07-10 PubMed ID: 38987780PubMed Central: PMC11234551DOI: 10.1186/s12917-024-04166-wGoogle Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
  • Journal Article

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The research investigates the effect of various storage methods and buffers on the bacterial viability and diversity in equine fecal microbiota transplant (FMT) product. It finds that frozen storage can preserve potentially metabolically active bacteria in equine feces, with saline plus glycerol proving more effective than saline alone.

Objective and Methodology

  • The study was undertaken to understand the impact of different storage times, buffers and temperatures on the bacterial metabolic activity and viability in equine FMT product. The need for this research arises from the lack of standardization in equine FMT procedures, currently leading to highly variable results.
  • The study used fresh feces collected from three healthy adult horses and subjected it to different preservation solutions (saline plus glycerol or saline only), temperature (-20 °C or -80 °C), and time (fresh, 30, 60, or 90 days).
  • The researchers used two types of extraction methods to assess the bacterial populations: DNA extraction to assess total bacterial populations and RNA extraction followed by reverse transcription to cDNA as a proxy to assess viable bacteria.
  • Bacterial viability and diversity were determined by 16s rRNA gene amplicon sequencing (a common molecular method for studying microbial communities).

Observations and Findings

  • Significant differences in population indices and taxonomic composition were observed when comparing results from DNA and cDNA extraction methods.
  • DNA-based analysis showed a significant decrease in alpha diversity (observed species, Shannon diversity) in frozen samples, indicating the impact of freezing on total bacterial populations.
  • Conversely, cDNA-based sequencing, representing potentially metabolically active populations, showed less difference in alpha diversity indicating that frozen storage had less of an effect on the viability of the bacterial community.
  • The type of buffer used had a significant effect on potentially metabolically active populations, with saline plus glycerol proving more effective than saline alone.
  • Individual differences between horses had the most significant effect within both DNA and cDNA bacterial communities, indicating the influence of the individual horse’s microbiome on the effectiveness of FMT.

Conclusions and Implications

  • Frozen storage can preserve potentially metabolically active bacteria of the equine fecal microbiome.
  • This has significant implications for the use of FMT in horses with disturbances in their intestinal microbiome, as it could potentially allow for easier clinical usage of fecal transplants.
  • However, the results of the study are preliminary and require further research and validation through larger studies to confirm these findings apply to other individual horses.

Cite This Article

APA
Long AE, Pitta D, Hennessy M, Indugu N, Vecchiarelli B, Luethy D, Aceto H, Hurcombe S. (2024). Assessment of fecal bacterial viability and diversity in fresh and frozen fecal microbiota transplant (FMT) product in horses. BMC Vet Res, 20(1), 306. https://doi.org/10.1186/s12917-024-04166-w

Publication

ISSN: 1746-6148
NlmUniqueID: 101249759
Country: England
Language: English
Volume: 20
Issue: 1
Pages: 306

Researcher Affiliations

Long, Alicia E
  • Department of Clinical Studies, New Bolton Center, University of Pennsylvania, Kennett Square, PA, USA. lalicia@vet.upenn.edu.
Pitta, Dipti
  • Department of Clinical Studies, New Bolton Center, University of Pennsylvania, Kennett Square, PA, USA.
Hennessy, Meagan
  • Department of Clinical Studies, New Bolton Center, University of Pennsylvania, Kennett Square, PA, USA.
Indugu, Nagaraju
  • Department of Clinical Studies, New Bolton Center, University of Pennsylvania, Kennett Square, PA, USA.
Vecchiarelli, Bonnie
  • Department of Clinical Studies, New Bolton Center, University of Pennsylvania, Kennett Square, PA, USA.
Luethy, Daniela
  • Department of Clinical Studies, New Bolton Center, University of Pennsylvania, Kennett Square, PA, USA.
Aceto, Helen
  • Department of Clinical Studies, New Bolton Center, University of Pennsylvania, Kennett Square, PA, USA.
Hurcombe, Samuel
  • Department of Clinical Studies, New Bolton Center, University of Pennsylvania, Kennett Square, PA, USA.
  • Veterinary Innovative Partners, New York, NY, USA.

MeSH Terms

  • Animals
  • Horses / microbiology
  • Feces / microbiology
  • Bacteria / classification
  • Bacteria / genetics
  • Bacteria / isolation & purification
  • RNA, Ribosomal, 16S / genetics
  • Fecal Microbiota Transplantation / veterinary
  • Freezing
  • Microbial Viability
  • Cryopreservation / veterinary
  • DNA, Bacterial / genetics

Grant Funding

  • 580-5805-1-461612-xxxx-2000-5872 / Raymond Firestone Trust
  • 580-5805-1-461612-xxxx-2000-5872 / Raymond Firestone Trust

Conflict of Interest Statement

The authors declare no competing interests.

References

This article includes 67 references
  1. Gough E, Shaikh H, Manges AR. Systematic review of intestinal microbiota transplantation (fecal bacteriotherapy) for recurrent Clostridium difficile infection.. Clin Infect Dis 2011;53(10):994–1002.
    doi: 10.1093/cid/cir632pubmed: 22002980google scholar: lookup
  2. Allen-Vercoe E, Reid G, Viner N, Gloor GB, Hota S, Kim P. A Canadian working group report on fecal microbial therapy: microbial ecosystems therapeutics.. Can J Gastroenterol 2012;26(7):457–62.
    doi: 10.1155/2012/213828pmc: PMC3395448pubmed: 22803022google scholar: lookup
  3. Leffler DA, Lamont JT. Clostridium difficile infection.. N Engl J Med 2015;372(16):1539–48.
    doi: 10.1056/NEJMra1403772pubmed: 25875259google scholar: lookup
  4. Hamilton M, Weingarden A, Sadowsky M, Khoruts A. Standardized frozen preparation for transplantation of fecal microbiota for recurrent Clostridium difficile infection.. Am J Gastroenterol 2012;107(5):761–7.
    doi: 10.1038/ajg.2011.482pubmed: 22290405google scholar: lookup
  5. Aggeletopoulou I, Konstantakis C, Assimakopoulos SF, Triantos C. The role of the gut microbiota in the treatment of inflammatory bowel diseases.. Microb Pathog 2019;137:103774.
    doi: 10.1016/j.micpath.2019.103774pubmed: 31586663google scholar: lookup
  6. Rokkas T, Gisbert JP, Gasbarrini A, Hold GL, Tilg H, Malfertheiner P. A network meta-analysis of randomized controlled trials exploring the role of fecal microbiota transplantation in recurrent Clostridium difficile infection.. United Eur Gastroenterol J 2019;7(8):1051–63.
    doi: 10.1177/2050640619854587pmc: PMC6794697pubmed: 31662862google scholar: lookup
  7. Youngster I, Sauk J, Pindar C, Wilson RG, Kaplan JL, Smith MB. Fecal microbiota transplant for relapsing Clostridium difficile infection using a frozen inoculum from unrelated donors: a randomized, open-label, controlled pilot study.. Clin Infect Dis 2014;58(11):1515–22.
    doi: 10.1093/cid/ciu135pmc: PMC4017893pubmed: 24762631google scholar: lookup
  8. Bakken JS, Borody T, Brandt LJ, Brill JV, Demarco DC, Franzos MA. Treating Clostridium difficile infection with fecal microbiota transplantation.. Clin Gastroenterol Hepatol 2011;9(12):1044–9.
    doi: 10.1016/j.cgh.2011.08.014pmc: PMC3223289pubmed: 21871249google scholar: lookup
  9. Satokari R, Mattila E, Kainulainen V, Arkkila PET. Simple faecal preparation and efficacy of frozen inoculum in faecal microbiota transplantation for recurrent Clostridium difficile infection – an observational cohort study.. Aliment Pharmacol Ther 2015;41(1):46–53.
    doi: 10.1111/apt.13009pubmed: 25355279google scholar: lookup
  10. Li N, Tian HL, Chen QY, Yang B, Ma CL, Lin ZL. Efficacy analysis of fecal microbiota transplantation in the treatment of 2010 patients with intestinal disorders.. Chin J Gastrointest Surg 2019;22(9):861–8.
    pubmed: 31550826
  11. Tuniyazi M, Wang W, Zhang N. A systematic review of current applications of fecal microbiota transplantation in horses.. Vet Sci 2023;10(4):290.
    pmc: PMC10141098pubmed: 37104445
  12. Buffie CG, Pamer EG. Microbiota-mediated colonization resistance against intestinal pathogens.. Nat Rev Immunol 2013;13(11):790–801.
    doi: 10.1038/nri3535pmc: PMC4194195pubmed: 24096337google scholar: lookup
  13. Abt MC, Pamer EG. Commensal bacteria mediated defenses against pathogens.. Curr Opin Immunol 2014;0:16–22.
    doi: 10.1016/j.coi.2014.03.003pmc: PMC4132187pubmed: 24727150google scholar: lookup
  14. Costa MC, Arroyo LG, Allen-Vercoe E, Stämpfli HR, Kim PT, Sturgeon A. Comparison of the fecal microbiota of healthy horses and horses with colitis by high throughput sequencing of the V3-V5 region of the 16S rRNA gene.. PLoS One 2012;7(7).
    pmc: PMC3409227pubmed: 22859989
  15. Stewart HL, Southwood LL, Indugu N, Vecchiarelli B, Engiles JB, Pitta D. Differences in the equine faecal microbiota between horses presenting to a tertiary referral hospital for colic compared with an elective surgical procedure.. Equine Vet J 2019;51(3):336–42.
    doi: 10.1111/evj.13010pubmed: 30153353google scholar: lookup
  16. Arnold C, Pilla R, Chaffin K, Lidbury J, Steiner J, Suchodolski J. Alterations in the fecal microbiome and metabolome of horses with antimicrobial-associated diarrhea compared to antibiotic-treated and non-treated healthy case controls.. Animals 2021;11(6):1807.
    doi: 10.3390/ani11061807pmc: PMC8235368pubmed: 34204371google scholar: lookup
  17. Weese JS, Holcombe SJ, Embertson RM, Kurtz KA, Roessner HA, Jalali M. Changes in the faecal microbiota of mares precede the development of post partum colic.. Equine Vet J 2015;47(6):641–9.
    doi: 10.1111/evj.12361pubmed: 25257320google scholar: lookup
  18. Elzinga SE, Weese JS, Adams AA. Comparison of the fecal microbiota in horses with equine metabolic syndrome and metabolically normal controls fed a similar all-forage diet.. J Equine Vet Sci 2016;44:9–16.
  19. Leclere M, Costa MC. Fecal microbiota in horses with asthma.. J Vet Intern Med 2020;34(2):996–1006.
    doi: 10.1111/jvim.15748pmc: PMC7096608pubmed: 32128892google scholar: lookup
  20. Dias DPM, Sousa SS, Molezini FA, Ferreira HSD, de Campos R. Efficacy of faecal microbiota transplantation for treating acute colitis in horses undergoing colic surgery.. Pesq Vet Bras 2018;38(8):1564–9.
  21. McKinney CA, Oliveira BCM, Bedenice D, Paradis MR, Mazan M, Sage S. The fecal microbiota of healthy donor horses and geriatric recipients undergoing fecal microbial transplantation for the treatment of diarrhea.. PLoS ONE 2020;15(3).
    pmc: PMC7064224pubmed: 32155205
  22. Di Pietro R. Development of a protocol with concentrated bacteria for fecal microbiota transplantation and impact on the equine fecal microbiota after antibiotic-induced dysbiosis.. Published Online January 14, 2021.
  23. McKinney CA, Bedenice D, Pacheco AP, Oliveira BCM, Paradis MR, Mazan M. Assessment of clinical and microbiota responses to fecal microbial transplantation in adult horses with diarrhea.. PLoS ONE 2021;16(1):e0244381.
  24. Costa M, Di Pietro R, Bessegatto JA, Pereira PFV, Stievani FC, Gomes RG. Evaluation of changes in microbiota after fecal microbiota transplantation in 6 diarrheic horses.. Can Vet J 2021;62(10):1123–30.
    pmc: PMC8439339pubmed: 34602643
  25. Laustsen L, Edwards JE, Hermes GDA, Luthersson N, van Doorn DA, Okrathok. Free faecal water: analysis of horse faecal microbiota and the impact of faecal microbial transplantation on symptom severity.. Anim (Basel) 2021;11(10):2776.
    pmc: PMC8533009pubmed: 34679798
  26. Kinoshita Y, Niwa H, Uchida-Fujii E, Nukada T, Ueno T. Simultaneous daily fecal microbiota transplantation fails to prevent metronidazole-induced dysbiosis of equine gut microbiota.. J Equine Vet Sci 2022;114:104004.
    doi: 10.1016/j.jevs.2022.104004pubmed: 35526726google scholar: lookup
  27. Di Pietro R, Arroyo LG, Leclere M, Costa M. Effects of concentrated fecal microbiota transplant on the equine fecal microbiota after antibiotic-induced dysbiosis.. Can J Vet Res 2023;87(2):85–96.
    pmc: PMC10069150pubmed: 37020579
  28. Stewart HL, Pitta D, Indugu N, Vecchiarelli B, Engiles JB, Southwood LL. Characterization of the fecal microbiota of healthy horses.. Am J Vet Res 2018;79(8):811–9.
    doi: 10.2460/ajvr.79.8.811pubmed: 30058849google scholar: lookup
  29. Takahashi M, Ishikawa D, Sasaki T, Lu YJ, Kuwahara-Arai K, Kamei M. Faecal freezing preservation period influences colonization ability for faecal microbiota transplantation.. J Appl Microbiol 2019;126(3):973–84.
    doi: 10.1111/jam.14167pubmed: 30489686google scholar: lookup
  30. Kopper JJ, Alexander TL, Kogan CJ, Berreta AR, Burbick CR. In vitro evaluation of the effect of storage at – 20°C and proximal gastrointestinal conditions on viability of equine fecal microbiota transplant.. J Equine Vet Sci 2021;98:103360.
    doi: 10.1016/j.jevs.2020.103360pubmed: 33663713google scholar: lookup
  31. Loublier C, Taminiau B, Heinen J, Lecoq L, Amory H, Daube G, Cesarini C. Evaluation of bacterial composition and viability of equine feces after processing for transplantation.. Microorganisms 2023;11(2):231.
  32. Kaplan-Shabtai V, Indugu N, Hennessy ML, Vecchiarelli B, Bender JS, Stefanovski D. Using structural equation modeling to understand interactions between bacterial and archaeal populations and volatile fatty acid proportions in the rumen.. Front Microbiol 2021;12.
    pmc: PMC8248675pubmed: 34220728
  33. Li R, Tun HM, Jahan M, Zhang Z, Kumar A, Dilantha Fernando WG. Comparison of DNA-, PMA-, and RNA-based 16S rRNA Illumina sequencing for detection of live bacteria in water.. Sci Rep 2017;7:5752.
    doi: 10.1038/s41598-017-02516-3pmc: PMC5515937pubmed: 28720878google scholar: lookup
  34. Gosalbes MJ, Durbán A, Pignatelli M, Abellan JJ, Jiménez-Hernández N, Pérez-Cobas AE. Metatranscriptomic approach to analyze the functional human gut microbiota.. PLoS One 2011;6(3):e17447.
    pmc: PMC3050895pubmed: 21408168
  35. Holzhausen EA, Nikodemova M, Deblois CL, Barnet JH, Peppard PE, Suen G. Assessing the impact of storage time on the stability of stool microbiota richness, diversity, and composition.. Gut Pathogens 2021;13(1):75.
    doi: 10.1186/s13099-021-00470-0pmc: PMC8686582pubmed: 34930464google scholar: lookup
  36. Bundgaard-Nielsen C, Hagstrøm S, Sørensen S. Interpersonal variations in gut microbiota profiles supersedes the effects of differing fecal storage conditions.. Sci Rep 2018;8(1):17367.
    doi: 10.1038/s41598-018-35843-0pmc: PMC6255890pubmed: 30478355google scholar: lookup
  37. Al KF, Bisanz JE, Gloor GB, Reid G, Burton JP. Evaluation of sampling and storage procedures on preserving the community structure of stool microbiota: a simple at-home toilet-paper collection method.. J Microbiol Methods 2018;144:117–21.
    doi: 10.1016/j.mimet.2017.11.014pubmed: 29155236google scholar: lookup
  38. Fouhy F, Deane J, Rea MC, O’Sullivan Ó, Ross RP, O’Callaghan G. The effects of freezing on faecal microbiota as determined using MiSeq sequencing and culture-based investigations.. PLoS ONE 2015;10(3):e0119355.
  39. Guo Y, Li SH, Kuang YS, He JR, Lu JH, Luo BJ. Effect of short-term room temperature storage on the microbial community in infant fecal samples.. Sci Rep 2016;6:26648.
    doi: 10.1038/srep26648pmc: PMC4880902pubmed: 27226242google scholar: lookup
  40. Theelen MJP, Luiken REC, Wagenaar JA, van Sloet MM, Rossen JWA, Zomer AL. The equine faecal microbiota of healthy horses and ponies in the Netherlands: impact of host and environmental factors.. Animals 2021;11(6):1762.
    doi: 10.3390/ani11061762pmc: PMC8231505pubmed: 34204691google scholar: lookup
  41. Indugu N, Hennessy M, Kaplan-Shabtai VS, de Assis Lage CF, Räisänen SE, Melgar A. Comparing noninvasive sampling techniques with standard cannula sampling method for ruminal microbial analysis.. JDS Commun 2021;2(6):329–33.
    doi: 10.3168/jdsc.2021-0094pmc: PMC9623630pubmed: 36337103google scholar: lookup
  42. Li F, Henderson G, Sun X, Cox F, Janssen PH, Guan LL. Taxonomic assessment of rumen microbiota using total RNA and targeted amplicon sequencing approaches.. Front Microbiol 2016;7:987.
    pmc: PMC4916217pubmed: 27446027
  43. Shakya M, Lo CC, Chain PSG. Advances and challenges in metatranscriptomic analysis.. Front Genet 2019;10.
    pmc: PMC6774269pubmed: 31608125
  44. Lettat A, Benchaar C. Diet-induced alterations in total and metabolically active microbes within the rumen of dairy cows.. PLoS ONE 2013;8(4):e60978.
  45. Lee S, Kemp PF. Single-cell RNA content of natural marine planktonic bacteria measured by hybridization with multiple 16S rRNA-targeted fluorescent probes.. Limnol Oceanogr 1994;39(4):869–79.
    doi: 10.4319/lo.1994.39.4.0869google scholar: lookup
  46. Knecht H, Neulinger SC, Heinsen FA, Knecht C, Schilhabel A, Schmitz RA. Effects of β-Lactam antibiotics and fluoroquinolones on human gut microbiota in relation to Clostridium difficile Associated Diarrhea.. PLoS ONE 2014;9(2):e89417.
  47. Kumar SS, Ghosh AR. Assessment of bacterial viability: a comprehensive review on recent advances and challenges.. Microbiology 2019;165(6):593–610.
    doi: 10.1099/mic.0.000786pubmed: 30843781google scholar: lookup
  48. Beckers KF, Schulz CJ, Childers GW. Rapid regrowth and detection of microbial contaminants in equine fecal microbiome samples.. PLoS ONE 2017;12(11):e0187044.
  49. Martin de Bustamante M, Plummer C, MacNicol J, Gomez D. Impact of ambient temperature sample storage on the equine fecal microbiota.. Animals 2021;11(3):819.
    doi: 10.3390/ani11030819pmc: PMC8001224pubmed: 33803934google scholar: lookup
  50. Gavriliuc S, Stothart MR, Henry A, Poissant J. Long-term storage of feces at – 80°C versus – 20°C is negligible for 16S rRNA amplicon profiling of the equine bacterial microbiome.. PeerJ 2021;9:e10837.
    doi: 10.7717/peerj.10837pmc: PMC7953882pubmed: 33854827google scholar: lookup
  51. Ma J, Sheng L, Hong Y, Xi C, Gu Y, Zheng N. Variations of gut microbiome profile under different storage conditions and preservation periods: a multi-dimensional evaluation.. Front Microbiol 2020;11.
    pmc: PMC7267014pubmed: 32536906
  52. Willette JA, Pitta D, Indugu N, Vecchiarelli B, Hennessy ML, Dobbie T. Experimental crossover study on the effects of withholding feed for 24 h on the equine faecal bacterial microbiota in healthy mares.. BMC Vet Res 2021;17(1):3.
    doi: 10.1186/s12917-020-02706-8pmc: PMC7786913pubmed: 33402190google scholar: lookup
  53. Pitta DW, Indugu N, Vecchiarelli B, Rico DE, Harvatine KJ. Alterations in ruminal bacterial populations at induction and recovery from diet-induced milk fat depression in dairy cows.. J Dairy Sci 2018;101(1):295–309.
    doi: 10.3168/jds.2016-12514pubmed: 29103706google scholar: lookup
  54. De Weirdt R, Hernandez-Sanabria E, Fievez V, Mees E, Geirnaert A, Van Herreweghen F. Mucosa-associated biohydrogenating microbes protect the simulated colon microbiome from stress associated with high concentrations of poly-unsaturated fat.. Environ Microbiol 2017;19(2):722–39.
    doi: 10.1111/1462-2920.13622pubmed: 27883264google scholar: lookup
  55. Bhattacharya S. Cryoprotectants and their usage in cryopreservation process.. Cryopreservation Biotechnology in Biomedical and Biological sciences IntechOpen; 2018. pp. 7–19.
  56. Hubálek Z. Protectants used in the cryopreservation of microorganisms.. Cryobiology 2003;46(3):205–29.
    doi: 10.1016/S0011-2240(03)00046-4pubmed: 12818211google scholar: lookup
  57. Gaci N, Chaudhary PP, Tottey W, Alric M, Brugère JF. Functional amplification and preservation of human gut microbiota.. Microb Ecol Health Dis 2017;28(1):1308070.
    pmc: PMC5443092pubmed: 28572754
  58. Deschamps C, Fournier E, Uriot O, Lajoie F, Verdier C, Comtet-Marre S. Comparative methods for fecal sample storage to preserve gut microbial structure and function in an in vitro model of the human colon.. Appl Microbiol Biotechnol 2020;104(23):10233–47.
    doi: 10.1007/s00253-020-10959-4pubmed: 33085024google scholar: lookup
  59. Cammarota G, Ianiro G, Kelly CR, Mullish BH, Allegretti JR, Kassam Z. International consensus conference on stool banking for faecal microbiota transplantation in clinical practice.. Gut 2019;68(12):2111–21.
    pmc: PMC6872442pubmed: 31563878
  60. Yu Z, Morrison M. Improved extraction of PCR-quality community DNA from digesta and fecal samples.. Biotechniques 2004;36(5):808–12.
    doi: 10.2144/04365ST04pubmed: 15152600google scholar: lookup
  61. Song SJ, Lauber C, Costello EK, Lozupone CA, Humphrey G, Berg-Lyons D. Cohabiting family members share microbiota with one another and with their dogs.. Elife 2013;2:e00458.
    doi: 10.7554/eLife.00458pmc: PMC3628085pubmed: 23599893google scholar: lookup
  62. Bolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet CC, Al-Ghalith GA. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2.. Nat Biotechnol 2019;37(8):852–7.
    doi: 10.1038/s41587-019-0209-9pmc: PMC7015180pubmed: 31341288google scholar: lookup
  63. Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJA, Holmes SP. DADA2: high-resolution sample inference from Illumina amplicon data.. Nat Methods 2016;13(7):581–3.
    doi: 10.1038/nmeth.3869pmc: PMC4927377pubmed: 27214047google scholar: lookup
  64. Katoh K, Standley DM. MAFFT multiple sequence alignment Software Version 7: improvements in performance and usability.. Mol Biol Evol 2013;30(4):772–80.
    doi: 10.1093/molbev/mst010pmc: PMC3603318pubmed: 23329690google scholar: lookup
  65. Price MN, Dehal PS, Arkin AP. FastTree 2–approximately maximum-likelihood trees for large alignments.. PLoS ONE 2010;5(3):e9490.
  66. DeSantis TZ, Hugenholtz P, Larsen N, Rojas M, Brodie EL, Keller K. Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB.. Appl Environ Microbiol 2006;72(7):5069–72.
    doi: 10.1128/AEM.03006-05pmc: PMC1489311pubmed: 16820507google scholar: lookup
  67. Anderson MJ. A new method for non-parametric multivariate analysis of variance.. Austral Ecol 2001;26(1):32–46.