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Does Ulcerative Colitis Influence the Inter-individual Heterogeneity of the Human Intestinal Mucosal Microbiome?

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机构: [1]Department of Gastroenterology, The First Affiliated Hospital of Kunming Medical University,Yunnan Institute of Digestive Disease, Kunming, China [2]Computational Biology and MedicalEcology Lab, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute ofZoology, Chinese Academy of Sciences, Kunming, China [3]Kunming College of Life Sciences,University of Chinese Academy of Sciences, Kunming, China [4]Department of Rheumatology andImmunology, The First Affiliated Hospital of Kunming Medical University, Yunnan Institute ofDigestive Disease, Kunming, China [5]Department of General Surgery, The First Affiliated Hospitalof Kunming Medical University, Yunnan Institute of Digestive Disease, Kunming, China [6]Collegeof Mathematics, Honghe University, Mengzi, China [7]Faculty of Science, Kunming University ofScience and Technology, Kunming, China
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关键词: Taylor's power law extensions (TPLEs) spatial heterogeneity ulcerative colitis (UC) gut microbiome resilience randomization test

摘要:
The dysbiosis of the gut microbiome associated with ulcerative colitis (UC) has been extensively studied in recent years. However, the question of whether UC influences the spatial heterogeneity of the human gut mucosal microbiome has not been addressed. Spatial heterogeneity (specifically, the inter-individual heterogeneity in microbial species abundances) is one of the most important characterizations at both population and community scales, and can be assessed and interpreted by Taylor's power law (TPL) and its community-scale extensions (TPLEs). Due to the high mobility of microbes, it is difficult to investigate their spatial heterogeneity explicitly; however, TPLE offers an effective approach to implicitly analyze the microbial communities. Here, we investigated the influence of UC on the spatial heterogeneity of the gut microbiome with intestinal mucosal microbiome samples collected from 28 UC patients and healthy controls. Specifically, we applied Type-I TPLE for measuring community spatial heterogeneity and Type-III TPLE for measuring mixed-species population heterogeneity to evaluate the heterogeneity changes of the mucosal microbiome induced by UC at both the community and species scales. We further used permutation test to determine the possible differences between UC patients and healthy controls in heterogeneity scaling parameters. Results showed that UC did not significantly influence gut mucosal microbiome heterogeneity at either the community or mixed-species levels. These findings demonstrated significant resilience of the human gut microbiome and confirmed a prediction of TPLE: that the inter-subject heterogeneity scaling parameter of the gut microbiome is an intrinsic property to humans, invariant with UC disease.

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出版当年[2020]版:
大类 | 4 区 生物
小类 | 3 区 数学与计算生物学 4 区 进化生物学
最新[2023]版:
大类 | 4 区 生物学
小类 | 4 区 进化生物学 4 区 数学与计算生物学
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出版当年[2019]版:
Q4 EVOLUTIONARY BIOLOGY Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY
最新[2023]版:
Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Q4 EVOLUTIONARY BIOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2019版] 出版当年五年平均 出版前一年[2018版] 出版后一年[2020版]

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第一作者机构: [1]Department of Gastroenterology, The First Affiliated Hospital of Kunming Medical University,Yunnan Institute of Digestive Disease, Kunming, China
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通讯机构: [1]Department of Gastroenterology, The First Affiliated Hospital of Kunming Medical University,Yunnan Institute of Digestive Disease, Kunming, China [7]Faculty of Science, Kunming University ofScience and Technology, Kunming, China [*1]Department of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Yunnan Institute of Digestive Disease, Kunming 650032, China [*2]Faculty of Science, Kunming University of Science and Technology, Kunming 650500, China
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