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Title: Distance-Decay Relationship for Biological Wastewater Treatment Plants

Abstract

Patterns in the spatial distribution of organisms provide important information about mechanisms underlying biodiversity and the complexity of ecosystems. One of the most well-documented spatial patterns is the distance-decay relationship, which is a universal biogeographic pattern observed repeatedly for plant and animal communities, particularly for microorganisms in natural ecosystems such as soil, ocean, and salt marsh sediment. However, it is uncertain whether the microorganisms exhibit a distance-decay pattern in engineered ecosystems. Therefore, we measured the distance-decay relationship across various microbial functional and phylogenetic groups in 26 biological wastewater treatment plants (WWTPs) in China using a functional gene array (GeoChip 4.2). We found that microbial communities of activated sludge in WWTPs exhibited a significant but very weak distance-decay relationship. The taxon-areazvalues for different functional and phylogenetic groups were <0.0065, which is about 1 to 2 orders of magnitude lower than those observed in microbial communities elsewhere. Variation-partitioning analysis (VPA) showed that the relationships were driven by both environmental heterogeneity and geographic distance. Collectively, these results provided new insights into the spatial scaling of microbial communities in engineering ecosystems and highlighted the importance of environmental heterogeneity and geographic distance in shaping biogeographic patterns.Determining the distance-decay relationship of microbial biodiversity is important butmore » challenging in microbial ecology. All studies to date are based on natural environments; thus, it remains unclear whether there is such a relationship in an engineered ecosystem. The present study shows that there is a very weak distance-decay relationship in an engineered ecosystem (WWTPs) at the regional-to-continental scale. This study makes fundamental contributions to a mechanistic, predictive understanding of microbial biogeography.« less

Authors:
 [1];  [2];  [3];  [2]; ORCiD logo [2];  [4]
  1. Tsinghua Univ., Beijing (China); Beijing Univ. of Chemical Technology, Beijing (China)
  2. Tsinghua Univ., Beijing (China)
  3. Chinese Academy of Sciences (CAS), Beijing (China)
  4. Tsinghua Univ., Beijing (China); Univ. of Oklahoma, Norman, OK (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1580047
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Applied and Environmental Microbiology
Additional Journal Information:
Journal Volume: 82; Journal Issue: 16; Journal ID: ISSN 0099-2240
Publisher:
American Society for Microbiology
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES

Citation Formats

Wang, Xiaohui, Wen, Xianghua, Deng, Ye, Xia, Yu, Yang, Yunfeng, and Zhou, Jizhong. Distance-Decay Relationship for Biological Wastewater Treatment Plants. United States: N. p., 2016. Web. doi:10.1128/AEM.01071-16.
Wang, Xiaohui, Wen, Xianghua, Deng, Ye, Xia, Yu, Yang, Yunfeng, & Zhou, Jizhong. Distance-Decay Relationship for Biological Wastewater Treatment Plants. United States. doi:10.1128/AEM.01071-16.
Wang, Xiaohui, Wen, Xianghua, Deng, Ye, Xia, Yu, Yang, Yunfeng, and Zhou, Jizhong. Fri . "Distance-Decay Relationship for Biological Wastewater Treatment Plants". United States. doi:10.1128/AEM.01071-16. https://www.osti.gov/servlets/purl/1580047.
@article{osti_1580047,
title = {Distance-Decay Relationship for Biological Wastewater Treatment Plants},
author = {Wang, Xiaohui and Wen, Xianghua and Deng, Ye and Xia, Yu and Yang, Yunfeng and Zhou, Jizhong},
abstractNote = {Patterns in the spatial distribution of organisms provide important information about mechanisms underlying biodiversity and the complexity of ecosystems. One of the most well-documented spatial patterns is the distance-decay relationship, which is a universal biogeographic pattern observed repeatedly for plant and animal communities, particularly for microorganisms in natural ecosystems such as soil, ocean, and salt marsh sediment. However, it is uncertain whether the microorganisms exhibit a distance-decay pattern in engineered ecosystems. Therefore, we measured the distance-decay relationship across various microbial functional and phylogenetic groups in 26 biological wastewater treatment plants (WWTPs) in China using a functional gene array (GeoChip 4.2). We found that microbial communities of activated sludge in WWTPs exhibited a significant but very weak distance-decay relationship. The taxon-areazvalues for different functional and phylogenetic groups were <0.0065, which is about 1 to 2 orders of magnitude lower than those observed in microbial communities elsewhere. Variation-partitioning analysis (VPA) showed that the relationships were driven by both environmental heterogeneity and geographic distance. Collectively, these results provided new insights into the spatial scaling of microbial communities in engineering ecosystems and highlighted the importance of environmental heterogeneity and geographic distance in shaping biogeographic patterns.Determining the distance-decay relationship of microbial biodiversity is important but challenging in microbial ecology. All studies to date are based on natural environments; thus, it remains unclear whether there is such a relationship in an engineered ecosystem. The present study shows that there is a very weak distance-decay relationship in an engineered ecosystem (WWTPs) at the regional-to-continental scale. This study makes fundamental contributions to a mechanistic, predictive understanding of microbial biogeography.},
doi = {10.1128/AEM.01071-16},
journal = {Applied and Environmental Microbiology},
number = 16,
volume = 82,
place = {United States},
year = {2016},
month = {5}
}

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