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19.2: The Human Microbiome

  • Page ID
    163542
    • Ying Liu, Serena Chang, Grace Murphy, Esther Ajayi-Akinsulire, Isobel Ardren, Izabella Guy, Kai Johnston, Saskia Lee, and Lauren Russell
    • City College of San Francisco

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    Learning Objectives
    • Describe the goals and major accomplishments of the Human Microbiome Project (HMP) and iHMP
    • Explain how microbial communities vary across different body sites
    • Analyze how local conditions (e.g., moist, dry, or oily) influence microbiome composition

    The Human Microbiome

    It was evident that the human microbiome and its involvement in a micro and macro scale needed to be characterized. The Human Microbiome Project (HMP) set out in 2007 with this as one of its primary goals (Turnbaugh et al., 2007). The program also set out with initiatives to develop a set of microbial genome sequences, explain the relationship between disease and microbiome changes and evaluate the data with multi-omics approaches, develop new tools and technology for computational analysis, establish a data analysis and coordinating center and research repositories, as well as address ethical, social, and legal implications of HMP research (Human Microbiome Project). The second phase of the HMP launched in 2014, called the Integrative Human Microbiome Project (iHMP), having the main mission to completely characterize the human microbiota with a key focus on human health and disease using three projects: pregnancy and preterm birth, onset of inflammatory bowel disease (IBD), and onset of type 2 diabetes (NIH Human Microbiome Project, The Integrative HMP (iHMP) Research Network Consortium, 2019). Aside from these, the human microbiome and disruption of the microbiota has been linked to several other important conditions and diseases including multiple sclerosis, diabetes (types 1 and 2), allergies, asthma, autism, and cancer (Backhed et al., 2012, Hsiao et al., 2013, Petersen and Round, 2014, Trompette et al., 2014, Garrett, 2015, Lloyd-Price et al., 2016).

    Microbiome_Sites_(27058471125).jpgFigure \(\PageIndex{1}\): This diagram shows the microbial composition across different sites on the human body, highlighting variation by location and skin type (oily, moist, or dry). Each site’s pie charts represent the relative abundance of bacteria, fungi, and other microbial kingdoms. Dominant bacterial genera include Propionibacterium, Corynebacterium, and Staphylococcus, while Malassezia is the primary fungal genus. The figure illustrates how microbial communities are shaped by local environmental conditions. "Microbiome Sites" by National Human Genome Research Institute is licensed under CC BY 2.0.

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    It makes sense that the human microbiome can have such an impact on human health and behavior if you consider that we are essentially a collection of organisms forming a living entity. In a way, our symbionts may even actually define more of who we are than just our own unique biological makeup. For instance, the ratio of microbial cells associated with a human body could equal, if not exceed (traditional estimates were tenfold), the number of human cells (Sender et al., 2016). Even more interesting is viewing our genetic makeup; the human genome contains about 20,000 genes, but its hologenome contains > 33 million genes brought by its microbiota (Huttenhower et al., 2012, Lloyd-Price et al., 2016, Simon et al., 2019). Furthermore, the composition and rate of change of each person’s microbiota is distinctive from one individual to another since it is influenced by variables like age, lifestyle, diet, antibiotics, occupation, environment, etc. (Gilbert et al., 2018). The genetic wealth and member diversity contributed from the microbiota has roles in adaptation, survival, development, growth, and reproduction of the holobiont and can affect fitness in the short term as well as have long lasting effects concerning the evolution of both partners (Rosenberg, and Zilber-Rosenberg, 2011).

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    Co-evolution of the host-microbiota symbiosis can be considered even more unique when viewing the microbial consortium at different locations or organs in the host, as their makeup is governed by and reflects specific physiological processes in those areas. For example, the bacteria found in the human gut microbiota are primarily from the phyla Bacteroides and Firmicutes, whereas Actinobacteria and Proteobacteria command the skin microbiome, though there is some overlap and it is important to note that there are differences depending on exact location (e.g. dry vs. moist areas of the skin) (Grice and Segre, 2011, Jandhyala et al. 2015). Though there are differences between various microbiota within a holobiont, they can still influence each other to some degree. In the case of the gut and skin microbiotas in humans, deemed the ‘gut-skin axis’, there are indications that both the health of the gastrointestinal (GI) tract and skin, as well as their response to stressors, are correlated (Levcovich et al., 2013, O’Neill et al., 2016, Salem et al. 2018). Even more interesting is the effects certain microbiota can have on germ-free organs like the brain. Studies on the ‘gut-brain axis’ show that the microbiota in the GI tract, and in some cases disruption of it, are associated with many mental illnesses and neurodegenerative disorders including depression, anxiety, autism, schizophrenia, Parkinson’s disease, and Alzheimer’s disease (Clapp et al. 2017, Foster et al. 2017, Cryan et al. 2019). A variety of different ‘axes’ which demonstrate interplay between microbiota, organs, and locations have been identified in the human body and much of what is known about their connections is novel and early in its research.

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    Key Concepts and Summary

    • The Human Microbiome Project (HMP) was launched in 2007 to characterize the human microbiome, explore its connection to health and disease, and develop tools for microbial genomics and data analysis.

    • The Integrative Human Microbiome Project (iHMP), launched in 2014, focused on microbiome changes related to pregnancy/preterm birth, inflammatory bowel disease (IBD), and type 2 diabetes.

    • Disruptions to the human microbiome have been associated with a wide range of diseases and conditions, including allergies, asthma, cancer, and neurological disorders.

    • The microbiome is site-specific, varying by body location (e.g., gut, skin), and is influenced by environmental conditions such as moisture and pH.

    • Humans are holobionts - a complex ecosystem of host and microbial cells—where the microbiota contributes the majority of genetic content (the hologenome).

    • The microbiome is shaped by lifestyle, diet, age, antibiotic use, and environment, resulting in highly individualized microbial communities.

    • Key symbiotic pathways such as the gut-skin axis and gut-brain axis illustrate the deep interconnection between microbiota and host systems, including immune, nervous, and integumentary systems.

    Media Attributions

    References

    1. Apprill, A. (2017). Marine Animal Microbiomes: Toward Understanding Host–Microbiome Interactions in a Changing Ocean. Frontiers in Marine Science, 4, 222. https://doi.org/10.3389/fmars.2017.00222
    2. Arif, I., Batool, M., & Schenk, P. M. (2020). Plant Microbiome Engineering: Expected Benefits for Improved Crop Growth and Resilience. Trends in Biotechnology, 38(12), 1385–1396. https://doi.org/10.1016/j.tibtech.2020.04.015
    3. Backhed F, Fraser CM, Ringel Y, Sanders ME, Sartor RB, Sherman PM, et al. Defining a healthy human gut microbiome: current concepts, future directions, and clinical applications. Cell Host Microbe. 2012;12:611–22. https://doi.org/10.1016/j.chom.2012.10.012
    4. Baedke, J., Fábregas-Tejeda, A., & Nieves Delgado, A. (2020). The holobiont concept before Margulis. Journal of Experimental Zoology Part B: Molecular and Developmental Evolution, 334(3), 149–155. https://doi.org/10.1002/jez.b.22931
    5. Bashiardes S, Zilberman-Schapira G, Elinav E. Use of Metatranscriptomics in Microbiome Research. Bioinformatics and Biology Insights. January 2016. doi:10.4137/BBI.S34610
    6. Berg, G., Rybakova, D., Fischer, D. et al. Microbiome definition re-visited: old concepts and new challenges. Microbiome 8, 103 (2020). https://doi.org/10.1186/s40168-020-00875-0
    7. Busby PE, Soman C, Wagner MR, Friesen ML, Kremer J, Bennett A, et al. (2017) Research priorities for harnessing plant microbiomes in sustainable agriculture. PLoS Biol 15(3): e2001793. https://doi.org/10.1371/journal.pbio.2001793
    8. Clapp M, Aurora N, Herrera L, Bhatia M, Wilen E, Wakefield S. Gut Microbiota’s Effect on Mental Health: The Gut-Brain Axis. Clinics and Practice. 2017; 7(4):131-136. https://doi.org/10.4081/cp.2017.987
    9. Cryan, J. F., O’Riordan, K. J., Cowan, C. S. M., Sandhu, K. v, Bastiaanssen, T. F. S., Boehme, M., Codagnone, M. G., Cussotto, S., Fulling, C., Golubeva, A. v, Guzzetta, K. E., Jaggar, M., Long-Smith, C. M., Lyte, J. M., Martin, J. A., Molinero-Perez, A., Moloney, G., Morelli, E., Morillas, E., … Dinan, T. G. (2019). The Microbiota-Gut-Brain Axis. Physiological Reviews, 99(4), 1877–2013. https://doi.org/10.1152/physrev.00018.2018
    10. Diakite, A., Dubourg, G., Dione, N. et al. Optimization and standardization of the culturomics technique for human microbiome exploration. Sci Rep 10, 9674 (2020). https://doi.org/10.1038/s41598-020-66738-8
    11. Elhady, A., Adss, S., Hallmann, J., & Heuer, H. (2018). Rhizosphere Microbiomes Modulated by Pre-crops Assisted Plants in Defense Against Plant-Parasitic Nematodes. Frontiers in Microbiology, 9, 1133. https://www.frontiersin.org/article/10.3389/fmicb.2018.01133
    12. Daliri, E. B., Wei, S., Oh, D. H., & Lee, B. H. (2017). The human microbiome and metabolomics: Current concepts and applications. Critical reviews in food science and nutrition, 57(16), 3565–3576. https://doi.org/10.1080/10408398.2016.1220913
    13. Foster, J. A., Rinaman, L., & Cryan, J. F. (2017). Stress & the gut-brain axis: Regulation by the microbiome. Neurobiology of Stress, 7, 124–136. https://doi.org/https://doi.org/10.1016/j.ynstr.2017.03.001
    14. Garrett W. S. (2015). Cancer and the microbiota. Science (New York, N.Y.), 348(6230), 80–86. https://doi.org/10.1126/science.aaa4972
    15. Gilbert, J. A., Blaser, M. J., Caporaso, J. G., Jansson, J. K., Lynch, S. v, & Knight, R. (2018). Current understanding of the human microbiome. Nature Medicine, 24(4), 392–400. https://doi.org/10.1038/nm.4517
    16. Grice, E., Segre, J. The skin microbiome. Nat Rev Microbiol 9, 244–253 (2011). https://doi.org/10.1038/nrmicro2537
    17. Hannula, S., Morriën, E., de Hollander, M. et al. Shifts in rhizosphere fungal community during secondary succession following abandonment from agriculture. ISME J 11, 2294–2304 (2017). https://doi.org/10.1038/ismej.2017.90
    18. Hernández-Álvarez, C., García-Oliva, F., Cruz-Ortega, R., Romero, M. F., Barajas, H. R., Piñero, D., & Alcaraz, L. D. (2022). Squash root microbiome transplants and metagenomic inspection for in situ arid adaptations. Science of The Total Environment, 805, 150136. https://doi.org/https://doi.org/10.1016/j.scitotenv.2021.150136
    19. Hirt, H. (2020). Healthy soils for healthy plants for healthy humans. EMBO Reports, 21(8), e51069. https://doi.org/https://doi.org/10.15252/embr.202051069
    20. 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(7), 1451–1463. https://doi.org/10.1016/j.cell.2013.11.024
    21. Lin, H., He, Q. Y., Shi, L., Sleeman, M., Baker, M. S., & Nice, E. C. (2019). Proteomics and the microbiome: pitfalls and potential. Expert review of proteomics, 16(6), 501–511. https://doi.org/10.1080/14789450.2018.1523724
    22. Human Microbiome Project / Program Initiatives. The NIH Common Fund. Retrieved 9 September 2021. https://commonfund.nih.gov/hmp/initiatives
    23. Huttenhower C, Gevers D, Knight R, Abubucker S, Badger JH, Chinwalla AT, Creasy HH, Earl AM, FitzGerald MG, Fulton RS, et al. Human Microbiome Project Consortium (2012). Structure, function and diversity of the healthy human microbiome. Nature, 486(7402), 207–214. https://doi.org/10.1038/nature11234
    24. Integrative HMP (iHMP) Research Network Consortium (2014). The Integrative Human Microbiome Project: dynamic analysis of microbiome-host omics profiles during periods of human health and disease. Cell host & microbe, 16(3), 276–289. https://doi.org/10.1016/j.chom.2014.08.014
    25. Jandhyala SM, Talukdar R, Subramanyam C, Vuyyuru H, Sasikala M, Nageshwar Reddy D. Role of the normal gut microbiota. World J Gastroenterol. 2015 Aug 7;21(29):8787-803. doi: 10.3748/wjg.v21.i29.8787. PMID: 26269668; PMCID: PMC4528021. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4528021/
    26. Jansson, J. K., & Hofmockel, K. S. (2018). The soil microbiome—from metagenomics to metaphenomics. Current Opinion in Microbiology, 43, 162–168. https://doi.org/10.1016/j.mib.2018.01.013
    27. Jiang, D., Armour, C. R., Hu, C., Mei, M., Tian, C., Sharpton, T. J., & Jiang, Y. (2019). Microbiome Multi-Omics Network Analysis: Statistical Considerations, Limitations, and Opportunities. Frontiers in genetics, 10, 995. https://doi.org/10.3389/fgene.2019.00995
    28. Lederberg J, Mccray AT. `Ome Sweet `Omics–A genealogical treasury of words. The Scientist. 2001;15(7):8–8. https://lhncbc.nlm.nih.gov/LHC-publications/pubs/OmeSweetOmicsAGenealogicalTreasuryofWords.html
    29. Levkovich T, Poutahidis T, Smillie C, Varian BJ, Ibrahim YM, Lakritz JR, et al. (2013) Probiotic Bacteria Induce a ‘Glow of Health’. PLoS ONE 8(1): e53867. https://doi.org/10.1371/journal.pone.0053867
    30. Lloyd-Price, J., Abu-Ali, G. & Huttenhower, C. The healthy human microbiome. Genome Med 8, 51 (2016). https://doi.org/10.1186/s13073-016-0307-y
    31. Marchesi, J. R., & Ravel, J. (2015). The vocabulary of microbiome research: a proposal. Microbiome, 3, 31. https://doi.org/10.1186/s40168-015-0094-5
    32. Margulis L. Symbiosis as a source of evolutionary innovation: speciation and morphogenesis. In: Cambridge MA MLFR, editor. Symbiogenesis and Symbionticism: MIT Press; 1991. p. 1–14.
    33. NIH Human Microbiome Project – About the Human Microbiome. https://hmpdacc.org/ihmp/overview/. Retrieved 9 September 2021.
    34. O’Neill, C.A., Monteleone, G., McLaughlin, J.T. and Paus, R. (2016), The gut-skin axis in health and disease: A paradigm with therapeutic implications. BioEssays, 38: 1167-1176. https://doi.org/10.1002/bies.201600008
    35. Petersen, C., & Round, J. L. (2014). Defining dysbiosis and its influence on host immunity and disease. Cellular microbiology, 16(7), 1024–1033. https://doi.org/10.1111/cmi.12308
    36. Pratama, A. A., & van Elsas, J. D. (2018). The ‘Neglected’ Soil Virome – Potential Role and Impact. Trends in Microbiology, 26(8), 649–662. https://doi.org/https://doi.org/10.1016/j.tim.2017.12.004
    37. Rosenberg, E. and Zilber-Rosenberg, I. (2011), Symbiosis and development: The hologenome concept. Birth Defects Research Part C: Embryo Today: Reviews, 93: 56-66. https://doi.org/10.1002/bdrc.20196
    38. Saleem, M., Hu, J., & Jousset, A. (2019). More Than the Sum of Its Parts: Microbiome Biodiversity as a Driver of Plant Growth and Soil Health. Annual Review of Ecology, Evolution, and Systematics, 50(1), 145–168. https://doi.org/10.1146/annurev-ecolsys-110617-062605
    39. Salem I, Ramser A, Isham N and Ghannoum MA (2018) The Gut Microbiome as a Major Regulator of the Gut-Skin Axis. Front. Microbiol. 9:1459. doi: 10.3389/fmicb.2018.01459
    40. Sender R, Fuchs S, Milo R (2016) Revised Estimates for the Number of Human and Bacteria Cells in the Body. PLoS Biol 14(8): e1002533. https://doi.org/10.1371/journal.pbio.1002533
    41. Simon, JC., Marchesi, J.R., Mougel, C. et al. Host-microbiota interactions: from holobiont theory to analysis. Microbiome 7, 5 (2019). https://doi.org/10.1186/s40168-019-0619-4
    42. The Integrative HMP (iHMP) Research Network Consortium. The Integrative Human Microbiome Project. Nature 569, 641–648 (2019). https://doi.org/10.1038/s41586-019-1238-8
    43. Trompette, A., Gollwitzer, E. S., Yadava, K., Sichelstiel, A. K., Sprenger, N., Ngom-Bru, C., Blanchard, C., Junt, T., Nicod, L. P., Harris, N. L., & Marsland, B. J. (2014). Gut microbiota metabolism of dietary fiber influences allergic airway disease and hematopoiesis. Nature medicine, 20(2), 159–166. https://doi.org/10.1038/nm.3444
    44. Turnbaugh, P., Ley, R., Hamady, M. et al. The Human Microbiome Project. Nature 449, 804–810 (2007). https://doi.org/10.1038/nature06244
    45. Whipps J, Lewis K, Cooke R. Mycoparasitism and plant disease control. In: Burge M, editor. Fungi Biol Control Syst. Manchester University Press; 1988. p. 161-187.
    46. Zhong, W., Yian, G., Ville-Petri, F., A, K. G., Yangchun, X., Qirong, S., & Alexandre, J. (2021). Initial soil microbiome composition and functioning predetermine future plant health. Science Advances, 5(9), eaaw0759. https://doi.org/10.1126/sciadv.aaw0759

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