Population-level diversity-disease relationship (p-DDR) in the human microbiome associated diseases
Diversity-disease relationship (DDR) is a de facto standard analysis in the studies of human microbiome associated diseases (MADs). For example, the species richness or Shannon entropy are routinely compared between the healthy and diseased groups. Nevertheless, the basic scale of the standard diver...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2021-01-01
|
Series: | Computational and Structural Biotechnology Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2001037021001446 |
id |
doaj-389e62aa1616494da6995e14252ef24b |
---|---|
record_format |
Article |
spelling |
doaj-389e62aa1616494da6995e14252ef24b2021-04-30T07:21:13ZengElsevierComputational and Structural Biotechnology Journal2001-03702021-01-011922972306Population-level diversity-disease relationship (p-DDR) in the human microbiome associated diseasesWendy Li0Zhanshan (Sam) Ma1Computational Biology and Medical Ecology Lab, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, China; Kunming College of Life Sciences, University of Chinese Academy of Sciences, ChinaComputational Biology and Medical Ecology Lab, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China; Kunming College of Life Sciences, University of Chinese Academy of Sciences, China; Corresponding author at: Computational Biology and Medical Ecology Lab, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, China.Diversity-disease relationship (DDR) is a de facto standard analysis in the studies of human microbiome associated diseases (MADs). For example, the species richness or Shannon entropy are routinely compared between the healthy and diseased groups. Nevertheless, the basic scale of the standard diversity analysis is individual subject rather than a cohort or population because the diversity is computed for individual samples, not for the group. Here we aim to expand the current DDR study from individual focus to population level, which can offer important insights for understanding the epidemiology of MADs. We analyzed the diversity-disease relationship at cohort scale based on a collection of 23 datasets covering the major human MADs. Methodologically, we harness the power of a recent extension to the classic species-area relationship (SAR), i.e., the diversity-area relationship (DAR), to achieve the expansion from individual DDR to inter-subject diversity scaling analysis. Specifically, we apply the DAR analysis to estimate and compare the potentially maximal accrual diversities of the healthy and diseases groups, as well as the inter-subject diversity scaling parameters and the individual-to-population diversity ratios. It was shown that, except for the potential diversity (Dmax) at the cohort level in approximately 5.4% cases of MADs, DAR parameters displayed no significant differences between healthy and diseased treatments. That is, the DAR parameters are rather resilient against MADs, except for the potential diversity in some diseases. We compared our population-level DDR with the existing individual-level DDR patterns and proposed a hypothesis to interpret their differences.http://www.sciencedirect.com/science/article/pii/S2001037021001446Diversity-disease relationship (DDR)Population-level diversity-disease relationship (P-DDR)Diversity-area relationship (DAR)Microbiome-associated disease (MAD)Species-area relationship (SAR)Potential microbiome diversity |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wendy Li Zhanshan (Sam) Ma |
spellingShingle |
Wendy Li Zhanshan (Sam) Ma Population-level diversity-disease relationship (p-DDR) in the human microbiome associated diseases Computational and Structural Biotechnology Journal Diversity-disease relationship (DDR) Population-level diversity-disease relationship (P-DDR) Diversity-area relationship (DAR) Microbiome-associated disease (MAD) Species-area relationship (SAR) Potential microbiome diversity |
author_facet |
Wendy Li Zhanshan (Sam) Ma |
author_sort |
Wendy Li |
title |
Population-level diversity-disease relationship (p-DDR) in the human microbiome associated diseases |
title_short |
Population-level diversity-disease relationship (p-DDR) in the human microbiome associated diseases |
title_full |
Population-level diversity-disease relationship (p-DDR) in the human microbiome associated diseases |
title_fullStr |
Population-level diversity-disease relationship (p-DDR) in the human microbiome associated diseases |
title_full_unstemmed |
Population-level diversity-disease relationship (p-DDR) in the human microbiome associated diseases |
title_sort |
population-level diversity-disease relationship (p-ddr) in the human microbiome associated diseases |
publisher |
Elsevier |
series |
Computational and Structural Biotechnology Journal |
issn |
2001-0370 |
publishDate |
2021-01-01 |
description |
Diversity-disease relationship (DDR) is a de facto standard analysis in the studies of human microbiome associated diseases (MADs). For example, the species richness or Shannon entropy are routinely compared between the healthy and diseased groups. Nevertheless, the basic scale of the standard diversity analysis is individual subject rather than a cohort or population because the diversity is computed for individual samples, not for the group. Here we aim to expand the current DDR study from individual focus to population level, which can offer important insights for understanding the epidemiology of MADs. We analyzed the diversity-disease relationship at cohort scale based on a collection of 23 datasets covering the major human MADs. Methodologically, we harness the power of a recent extension to the classic species-area relationship (SAR), i.e., the diversity-area relationship (DAR), to achieve the expansion from individual DDR to inter-subject diversity scaling analysis. Specifically, we apply the DAR analysis to estimate and compare the potentially maximal accrual diversities of the healthy and diseases groups, as well as the inter-subject diversity scaling parameters and the individual-to-population diversity ratios. It was shown that, except for the potential diversity (Dmax) at the cohort level in approximately 5.4% cases of MADs, DAR parameters displayed no significant differences between healthy and diseased treatments. That is, the DAR parameters are rather resilient against MADs, except for the potential diversity in some diseases. We compared our population-level DDR with the existing individual-level DDR patterns and proposed a hypothesis to interpret their differences. |
topic |
Diversity-disease relationship (DDR) Population-level diversity-disease relationship (P-DDR) Diversity-area relationship (DAR) Microbiome-associated disease (MAD) Species-area relationship (SAR) Potential microbiome diversity |
url |
http://www.sciencedirect.com/science/article/pii/S2001037021001446 |
work_keys_str_mv |
AT wendyli populationleveldiversitydiseaserelationshippddrinthehumanmicrobiomeassociateddiseases AT zhanshansamma populationleveldiversitydiseaserelationshippddrinthehumanmicrobiomeassociateddiseases |
_version_ |
1721498580512931840 |