Global Microbiome Diversity Scaling in Hot Springs With DAR (Diversity-Area Relationship) Profiles
The spatial distribution of biodiversity (i.e., the biogeography) of the hot-spring microbiome is critical for understanding the microbial ecosystems in hot springs. We investigated the microbiome diversity scaling (changes) over space by analyzing the diversity-area relationship (DAR), which is an...
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doaj-7d48e9c99fd94abf947a30fb2ff23ce22020-11-24T21:41:36ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2019-02-011010.3389/fmicb.2019.00118431426Global Microbiome Diversity Scaling in Hot Springs With DAR (Diversity-Area Relationship) ProfilesLianwei Li0Lianwei Li1Zhanshan Ma2Zhanshan Ma3Zhanshan Ma4Computational Biology and Medical Ecology Lab, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, ChinaKunming College of Life Sciences, University of Chinese Academy of Sciences, Kunming, ChinaComputational Biology and Medical Ecology Lab, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, ChinaKunming College of Life Sciences, University of Chinese Academy of Sciences, Kunming, ChinaCenter for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, ChinaThe spatial distribution of biodiversity (i.e., the biogeography) of the hot-spring microbiome is critical for understanding the microbial ecosystems in hot springs. We investigated the microbiome diversity scaling (changes) over space by analyzing the diversity-area relationship (DAR), which is an extension to classic SAR (species-area relationship) law in biogeography. We built DAR models for archaea and bacteria with 16S-rRNA sequencing datasets from 165 hot springs globally. From the DAR models, we sketch out the biogeographic maps of hot-spring microbiomes by constructing: (i) DAR profile—measuring the archaea or bacteria diversity scaling over space (areas); (ii) PDO (pair-wise diversity overlap or similarity) profile—estimating the PDO between two hot springs; (iii) MAD (maximal accrual diversity) profile—predicting the global MAD; (iv) LRD/LGD (ratio of local diversity to regional or global diversity) profile. We further investigated the differences between archaea and bacteria in their biogeographic maps. For example, the comparison of DAR-profile maps revealed that the archaea diversity is more heterogeneous (i.e., more diverse) or scaling faster than the bacterial diversity does in terms of species numbers (species richness), but is less heterogeneous (i.e., less diverse) or scaling slower than bacteria when the diversity (Hill numbers) were weighted in favor of more abundant dominant species. When the diversity is weighted equally in terms of species abundances, archaea, and bacteria are equally heterogeneous over space or scaling at the same rate. Finally, unified DAR models (maps) were built with the combined datasets of archaea and bacteria.https://www.frontiersin.org/article/10.3389/fmicb.2019.00118/fullbiogeography of hot-spring microbiomeDAR (diversity-area relationship)MAD (maximal accrual diversity)local to regional (global) diversity (LED/LGD)biogeographic differences between archaea and bacteria |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lianwei Li Lianwei Li Zhanshan Ma Zhanshan Ma Zhanshan Ma |
spellingShingle |
Lianwei Li Lianwei Li Zhanshan Ma Zhanshan Ma Zhanshan Ma Global Microbiome Diversity Scaling in Hot Springs With DAR (Diversity-Area Relationship) Profiles Frontiers in Microbiology biogeography of hot-spring microbiome DAR (diversity-area relationship) MAD (maximal accrual diversity) local to regional (global) diversity (LED/LGD) biogeographic differences between archaea and bacteria |
author_facet |
Lianwei Li Lianwei Li Zhanshan Ma Zhanshan Ma Zhanshan Ma |
author_sort |
Lianwei Li |
title |
Global Microbiome Diversity Scaling in Hot Springs With DAR (Diversity-Area Relationship) Profiles |
title_short |
Global Microbiome Diversity Scaling in Hot Springs With DAR (Diversity-Area Relationship) Profiles |
title_full |
Global Microbiome Diversity Scaling in Hot Springs With DAR (Diversity-Area Relationship) Profiles |
title_fullStr |
Global Microbiome Diversity Scaling in Hot Springs With DAR (Diversity-Area Relationship) Profiles |
title_full_unstemmed |
Global Microbiome Diversity Scaling in Hot Springs With DAR (Diversity-Area Relationship) Profiles |
title_sort |
global microbiome diversity scaling in hot springs with dar (diversity-area relationship) profiles |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Microbiology |
issn |
1664-302X |
publishDate |
2019-02-01 |
description |
The spatial distribution of biodiversity (i.e., the biogeography) of the hot-spring microbiome is critical for understanding the microbial ecosystems in hot springs. We investigated the microbiome diversity scaling (changes) over space by analyzing the diversity-area relationship (DAR), which is an extension to classic SAR (species-area relationship) law in biogeography. We built DAR models for archaea and bacteria with 16S-rRNA sequencing datasets from 165 hot springs globally. From the DAR models, we sketch out the biogeographic maps of hot-spring microbiomes by constructing: (i) DAR profile—measuring the archaea or bacteria diversity scaling over space (areas); (ii) PDO (pair-wise diversity overlap or similarity) profile—estimating the PDO between two hot springs; (iii) MAD (maximal accrual diversity) profile—predicting the global MAD; (iv) LRD/LGD (ratio of local diversity to regional or global diversity) profile. We further investigated the differences between archaea and bacteria in their biogeographic maps. For example, the comparison of DAR-profile maps revealed that the archaea diversity is more heterogeneous (i.e., more diverse) or scaling faster than the bacterial diversity does in terms of species numbers (species richness), but is less heterogeneous (i.e., less diverse) or scaling slower than bacteria when the diversity (Hill numbers) were weighted in favor of more abundant dominant species. When the diversity is weighted equally in terms of species abundances, archaea, and bacteria are equally heterogeneous over space or scaling at the same rate. Finally, unified DAR models (maps) were built with the combined datasets of archaea and bacteria. |
topic |
biogeography of hot-spring microbiome DAR (diversity-area relationship) MAD (maximal accrual diversity) local to regional (global) diversity (LED/LGD) biogeographic differences between archaea and bacteria |
url |
https://www.frontiersin.org/article/10.3389/fmicb.2019.00118/full |
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