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Co-occurrence pattern and function prediction of bacterial community in Karst cave

BACKGROUND: Karst caves are considered as extreme environments with nutrition deficiency, darkness, and oxygen deprivation, and they are also the sources of biodiversity and metabolic pathways. Microorganisms are usually involved in the formation and maintenance of the cave system through various me...

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Autores principales: Dong, Yiyi, Gao, Jie, Wu, Qingshan, Ai, Yilang, Huang, Yu, Wei, Wenzhang, Sun, Shiyu, Weng, Qingbei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7257168/
https://www.ncbi.nlm.nih.gov/pubmed/32471344
http://dx.doi.org/10.1186/s12866-020-01806-7
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author Dong, Yiyi
Gao, Jie
Wu, Qingshan
Ai, Yilang
Huang, Yu
Wei, Wenzhang
Sun, Shiyu
Weng, Qingbei
author_facet Dong, Yiyi
Gao, Jie
Wu, Qingshan
Ai, Yilang
Huang, Yu
Wei, Wenzhang
Sun, Shiyu
Weng, Qingbei
author_sort Dong, Yiyi
collection PubMed
description BACKGROUND: Karst caves are considered as extreme environments with nutrition deficiency, darkness, and oxygen deprivation, and they are also the sources of biodiversity and metabolic pathways. Microorganisms are usually involved in the formation and maintenance of the cave system through various metabolic activities, and are indicators of changes environment influenced by human. Zhijin cave is a typical Karst cave and attracts tourists in China. However, the bacterial diversity and composition of the Karst cave are still unclear. The present study aims to reveal the bacterial diversity and composition in the cave and the potential impact of tourism activities, and better understand the roles and co-occurrence pattern of the bacterial community in the extreme cave habitats. RESULTS: The bacterial community consisted of the major Proteobacteria, Actinobacteria, and Firmicutes, with Proteobacteria being the predominant phylum in the rock, soil, and stalactite samples. Compositions and specialized bacterial phyla of the bacterial communities were different among different sample types. The highest diversity index was found in the rock samples with a Shannon index of 4.71. Overall, Zhijin cave has relatively lower diversity than that in natural caves. The prediction of function showed that various enzymes, including ribulose-bisphosphate carboxylase, 4-hydroxybutyryl-CoA dehydratase, nitrogenase NifH, and Nitrite reductase, involved in carbon and nitrogen cycles were detected in Zhijin cave. Additionally, the modularity indices of all co-occurrence network were greater than 0.40 and the species interactions were complex across different sample types. Co-occurring positive interactions in the bacteria groups in different phyla were also observed. CONCLUSION: These results uncovered that the oligotrophic Zhijin cave maintains the bacterial communities with the diverse metabolic pathways, interdependent and cooperative co-existence patterns. Moreover, as a hotspot for tourism, the composition and diversity of bacterial community are influenced by tourism activities. These afford new insights for further exploring the adaptation of bacteria to extreme environments and the conservation of cave ecosystem.
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spelling pubmed-72571682020-06-07 Co-occurrence pattern and function prediction of bacterial community in Karst cave Dong, Yiyi Gao, Jie Wu, Qingshan Ai, Yilang Huang, Yu Wei, Wenzhang Sun, Shiyu Weng, Qingbei BMC Microbiol Research Article BACKGROUND: Karst caves are considered as extreme environments with nutrition deficiency, darkness, and oxygen deprivation, and they are also the sources of biodiversity and metabolic pathways. Microorganisms are usually involved in the formation and maintenance of the cave system through various metabolic activities, and are indicators of changes environment influenced by human. Zhijin cave is a typical Karst cave and attracts tourists in China. However, the bacterial diversity and composition of the Karst cave are still unclear. The present study aims to reveal the bacterial diversity and composition in the cave and the potential impact of tourism activities, and better understand the roles and co-occurrence pattern of the bacterial community in the extreme cave habitats. RESULTS: The bacterial community consisted of the major Proteobacteria, Actinobacteria, and Firmicutes, with Proteobacteria being the predominant phylum in the rock, soil, and stalactite samples. Compositions and specialized bacterial phyla of the bacterial communities were different among different sample types. The highest diversity index was found in the rock samples with a Shannon index of 4.71. Overall, Zhijin cave has relatively lower diversity than that in natural caves. The prediction of function showed that various enzymes, including ribulose-bisphosphate carboxylase, 4-hydroxybutyryl-CoA dehydratase, nitrogenase NifH, and Nitrite reductase, involved in carbon and nitrogen cycles were detected in Zhijin cave. Additionally, the modularity indices of all co-occurrence network were greater than 0.40 and the species interactions were complex across different sample types. Co-occurring positive interactions in the bacteria groups in different phyla were also observed. CONCLUSION: These results uncovered that the oligotrophic Zhijin cave maintains the bacterial communities with the diverse metabolic pathways, interdependent and cooperative co-existence patterns. Moreover, as a hotspot for tourism, the composition and diversity of bacterial community are influenced by tourism activities. These afford new insights for further exploring the adaptation of bacteria to extreme environments and the conservation of cave ecosystem. BioMed Central 2020-05-29 /pmc/articles/PMC7257168/ /pubmed/32471344 http://dx.doi.org/10.1186/s12866-020-01806-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Dong, Yiyi
Gao, Jie
Wu, Qingshan
Ai, Yilang
Huang, Yu
Wei, Wenzhang
Sun, Shiyu
Weng, Qingbei
Co-occurrence pattern and function prediction of bacterial community in Karst cave
title Co-occurrence pattern and function prediction of bacterial community in Karst cave
title_full Co-occurrence pattern and function prediction of bacterial community in Karst cave
title_fullStr Co-occurrence pattern and function prediction of bacterial community in Karst cave
title_full_unstemmed Co-occurrence pattern and function prediction of bacterial community in Karst cave
title_short Co-occurrence pattern and function prediction of bacterial community in Karst cave
title_sort co-occurrence pattern and function prediction of bacterial community in karst cave
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7257168/
https://www.ncbi.nlm.nih.gov/pubmed/32471344
http://dx.doi.org/10.1186/s12866-020-01806-7
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