Testing the Anna Karenina Principle in Human Microbiome-Associated Diseases

Summary: The AKP (Anna Karenina principle), which refers to observations inspired by the opening line of Leo Tolstoy's Anna Karenina, “all happy families are all alike; each unhappy family is unhappy in its own way,” predicts that all “healthy” microbiomes are alike and each disease-associated...

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Main Author: Zhanshan (Sam) Ma
Format: Article
Language:English
Published: Elsevier 2020-04-01
Series:iScience
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004220301917
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spelling doaj-4bdbe31614a741d48651d3af52bbf1252020-11-25T02:44:17ZengElsevieriScience2589-00422020-04-01234Testing the Anna Karenina Principle in Human Microbiome-Associated DiseasesZhanshan (Sam) Ma0Computational Biology and Medical Ecology Lab, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China; Corresponding authorSummary: The AKP (Anna Karenina principle), which refers to observations inspired by the opening line of Leo Tolstoy's Anna Karenina, “all happy families are all alike; each unhappy family is unhappy in its own way,” predicts that all “healthy” microbiomes are alike and each disease-associated microbiome is “sick” in its own way in human microbiome-associated diseases (MADs). The AKP hypothesis predicts the rise of heterogeneity/stochasticity in human microbiomes associated with dysbiosis due to MADs. We used the beta-diversity in Hill numbers and stochasticity analysis to detect AKP and anti-AKP effects. We tested the AKP with 27 human MAD studies and discovered that the AKP, anti-AKP, and non-AKP effects were exhibited in approximately 50%, 25%, and 25% of the MAD cases, respectively. Mechanistically, AKP effects are primarily influenced by highly dominant microbial species and less influenced by rare species. In contrast, all species appear to play equal roles in influencing anti-AKP effects. : Microbiology; Microbiome; In Silico Biology Subject Areas: Microbiology, Microbiome, In Silico Biologyhttp://www.sciencedirect.com/science/article/pii/S2589004220301917
collection DOAJ
language English
format Article
sources DOAJ
author Zhanshan (Sam) Ma
spellingShingle Zhanshan (Sam) Ma
Testing the Anna Karenina Principle in Human Microbiome-Associated Diseases
iScience
author_facet Zhanshan (Sam) Ma
author_sort Zhanshan (Sam) Ma
title Testing the Anna Karenina Principle in Human Microbiome-Associated Diseases
title_short Testing the Anna Karenina Principle in Human Microbiome-Associated Diseases
title_full Testing the Anna Karenina Principle in Human Microbiome-Associated Diseases
title_fullStr Testing the Anna Karenina Principle in Human Microbiome-Associated Diseases
title_full_unstemmed Testing the Anna Karenina Principle in Human Microbiome-Associated Diseases
title_sort testing the anna karenina principle in human microbiome-associated diseases
publisher Elsevier
series iScience
issn 2589-0042
publishDate 2020-04-01
description Summary: The AKP (Anna Karenina principle), which refers to observations inspired by the opening line of Leo Tolstoy's Anna Karenina, “all happy families are all alike; each unhappy family is unhappy in its own way,” predicts that all “healthy” microbiomes are alike and each disease-associated microbiome is “sick” in its own way in human microbiome-associated diseases (MADs). The AKP hypothesis predicts the rise of heterogeneity/stochasticity in human microbiomes associated with dysbiosis due to MADs. We used the beta-diversity in Hill numbers and stochasticity analysis to detect AKP and anti-AKP effects. We tested the AKP with 27 human MAD studies and discovered that the AKP, anti-AKP, and non-AKP effects were exhibited in approximately 50%, 25%, and 25% of the MAD cases, respectively. Mechanistically, AKP effects are primarily influenced by highly dominant microbial species and less influenced by rare species. In contrast, all species appear to play equal roles in influencing anti-AKP effects. : Microbiology; Microbiome; In Silico Biology Subject Areas: Microbiology, Microbiome, In Silico Biology
url http://www.sciencedirect.com/science/article/pii/S2589004220301917
work_keys_str_mv AT zhanshansamma testingtheannakareninaprincipleinhumanmicrobiomeassociateddiseases
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