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Testing the passive sampling hypothesis: The role of dispersal in shaping microbial species-area relationship

Dispersal is one of the key processes determining biodiversity. The passive sampling hypothesis, which emphasizes dispersal processes, suggests that larger habitats receive more species from the species pool as the main mechanism leading to more species in larger habitats than in smaller habitats (i...

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Autores principales: Deng, Wei, Yu, Guo-Bin, Yang, Xiao-Yan, Xiao, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909023/
https://www.ncbi.nlm.nih.gov/pubmed/36778859
http://dx.doi.org/10.3389/fmicb.2023.1093695
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author Deng, Wei
Yu, Guo-Bin
Yang, Xiao-Yan
Xiao, Wen
author_facet Deng, Wei
Yu, Guo-Bin
Yang, Xiao-Yan
Xiao, Wen
author_sort Deng, Wei
collection PubMed
description Dispersal is one of the key processes determining biodiversity. The passive sampling hypothesis, which emphasizes dispersal processes, suggests that larger habitats receive more species from the species pool as the main mechanism leading to more species in larger habitats than in smaller habitats (i.e., species-area relationships). However, the specific mechanisms by which dispersion shapes biodiversity still need to be discovered due to the difficulties of quantifying dispersal and the influence of multiple factors. Solving the above problem with a designed experiment is necessary to test the passive sampling hypothesis. This study designed a passive sampling experiment using sterile filter paper to quantify the microbial diffusion process, excluding the effects of pure sampling effects, habitat heterogeneity, and extinction processes. The results of high-throughput sequencing showed that a larger filter paper could receive more colonists, and the passive sampling hypothesis of SAR was confirmed. Dispersal shaped SAR by increasing species richness, especially rare species, and increasing the species replacement rate between habitats. These two processes are the mechanisms by which dispersal shapes biodiversity patterns. Compared with the results of this study, the commonly used mathematical model of passive sampling was able to predict the richness of non-rare species accurately but underestimated the richness of rare species. Underestimating rare species by mathematical models of passive sampling is more severe in small habitats. These findings provide new insights into the study of dispersal processes and the mechanism of species-area relationships.
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spelling pubmed-99090232023-02-10 Testing the passive sampling hypothesis: The role of dispersal in shaping microbial species-area relationship Deng, Wei Yu, Guo-Bin Yang, Xiao-Yan Xiao, Wen Front Microbiol Microbiology Dispersal is one of the key processes determining biodiversity. The passive sampling hypothesis, which emphasizes dispersal processes, suggests that larger habitats receive more species from the species pool as the main mechanism leading to more species in larger habitats than in smaller habitats (i.e., species-area relationships). However, the specific mechanisms by which dispersion shapes biodiversity still need to be discovered due to the difficulties of quantifying dispersal and the influence of multiple factors. Solving the above problem with a designed experiment is necessary to test the passive sampling hypothesis. This study designed a passive sampling experiment using sterile filter paper to quantify the microbial diffusion process, excluding the effects of pure sampling effects, habitat heterogeneity, and extinction processes. The results of high-throughput sequencing showed that a larger filter paper could receive more colonists, and the passive sampling hypothesis of SAR was confirmed. Dispersal shaped SAR by increasing species richness, especially rare species, and increasing the species replacement rate between habitats. These two processes are the mechanisms by which dispersal shapes biodiversity patterns. Compared with the results of this study, the commonly used mathematical model of passive sampling was able to predict the richness of non-rare species accurately but underestimated the richness of rare species. Underestimating rare species by mathematical models of passive sampling is more severe in small habitats. These findings provide new insights into the study of dispersal processes and the mechanism of species-area relationships. Frontiers Media S.A. 2023-01-26 /pmc/articles/PMC9909023/ /pubmed/36778859 http://dx.doi.org/10.3389/fmicb.2023.1093695 Text en Copyright © 2023 Deng, Yu, Yang and Xiao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Deng, Wei
Yu, Guo-Bin
Yang, Xiao-Yan
Xiao, Wen
Testing the passive sampling hypothesis: The role of dispersal in shaping microbial species-area relationship
title Testing the passive sampling hypothesis: The role of dispersal in shaping microbial species-area relationship
title_full Testing the passive sampling hypothesis: The role of dispersal in shaping microbial species-area relationship
title_fullStr Testing the passive sampling hypothesis: The role of dispersal in shaping microbial species-area relationship
title_full_unstemmed Testing the passive sampling hypothesis: The role of dispersal in shaping microbial species-area relationship
title_short Testing the passive sampling hypothesis: The role of dispersal in shaping microbial species-area relationship
title_sort testing the passive sampling hypothesis: the role of dispersal in shaping microbial species-area relationship
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909023/
https://www.ncbi.nlm.nih.gov/pubmed/36778859
http://dx.doi.org/10.3389/fmicb.2023.1093695
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