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Characterization of Distinct CyanoHABs-Related Modules in Microbial Recurrent Association Network

To elucidate the interspecies connectivity between cyanobacteria and other bacteria (non-cyanobacteria) during cyanobacterial harmful algal blooms (cyanoHABs), samples were collected from the Nakdong River, Korea, from June 2016 to August 2017, and microbial recurrent association network (MRAN) anal...

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Autores principales: Chun, Seong-Jun, Cui, Yingshun, Lee, Chang Soo, Cho, A Ra, Baek, Kiwoon, Choi, Ahyoung, Ko, So-Ra, Lee, Hyung-Gwan, Hwang, Seungwoo, Oh, Hee-Mock, Ahn, Chi-Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6650593/
https://www.ncbi.nlm.nih.gov/pubmed/31379787
http://dx.doi.org/10.3389/fmicb.2019.01637
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author Chun, Seong-Jun
Cui, Yingshun
Lee, Chang Soo
Cho, A Ra
Baek, Kiwoon
Choi, Ahyoung
Ko, So-Ra
Lee, Hyung-Gwan
Hwang, Seungwoo
Oh, Hee-Mock
Ahn, Chi-Yong
author_facet Chun, Seong-Jun
Cui, Yingshun
Lee, Chang Soo
Cho, A Ra
Baek, Kiwoon
Choi, Ahyoung
Ko, So-Ra
Lee, Hyung-Gwan
Hwang, Seungwoo
Oh, Hee-Mock
Ahn, Chi-Yong
author_sort Chun, Seong-Jun
collection PubMed
description To elucidate the interspecies connectivity between cyanobacteria and other bacteria (non-cyanobacteria) during cyanobacterial harmful algal blooms (cyanoHABs), samples were collected from the Nakdong River, Korea, from June 2016 to August 2017, and microbial recurrent association network (MRAN) analysis was performed to overcome the limitations of conventional network analysis. Microcystis blooms were tightly linked with Pseudanabaena in summer and were accompanied by significant changes in the non-cyanobacterial community composition (nCCC) compared to non-bloom period. Riverine bacterial communities could be clearly separated into modules that were involved in the formation, maintenance, and decomposition of cyanoHABs. Roseomonas and Herbaspirillum were directly linked with major cyanobacteria and assigned to connector and module hub in cyanoHABs-related modules, respectively. The functional profiles of the cyanoHABs-related modules suggested that nitrate reduction, aerobic ammonia oxidation, fermentation, and hydrocarbon degradation could be increased during the Microcystis bloom periods. In conclusion, MRAN analysis revealed that specific bacteria belonging to cyanoHABs-related module, including connectors and module hubs, appeared to contribute to the development and collapse of cyanoHABs. Therefore, to understand cyanoHABs, a modular microbial perspective may be more helpful than a single bacterial species perspective.
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spelling pubmed-66505932019-08-02 Characterization of Distinct CyanoHABs-Related Modules in Microbial Recurrent Association Network Chun, Seong-Jun Cui, Yingshun Lee, Chang Soo Cho, A Ra Baek, Kiwoon Choi, Ahyoung Ko, So-Ra Lee, Hyung-Gwan Hwang, Seungwoo Oh, Hee-Mock Ahn, Chi-Yong Front Microbiol Microbiology To elucidate the interspecies connectivity between cyanobacteria and other bacteria (non-cyanobacteria) during cyanobacterial harmful algal blooms (cyanoHABs), samples were collected from the Nakdong River, Korea, from June 2016 to August 2017, and microbial recurrent association network (MRAN) analysis was performed to overcome the limitations of conventional network analysis. Microcystis blooms were tightly linked with Pseudanabaena in summer and were accompanied by significant changes in the non-cyanobacterial community composition (nCCC) compared to non-bloom period. Riverine bacterial communities could be clearly separated into modules that were involved in the formation, maintenance, and decomposition of cyanoHABs. Roseomonas and Herbaspirillum were directly linked with major cyanobacteria and assigned to connector and module hub in cyanoHABs-related modules, respectively. The functional profiles of the cyanoHABs-related modules suggested that nitrate reduction, aerobic ammonia oxidation, fermentation, and hydrocarbon degradation could be increased during the Microcystis bloom periods. In conclusion, MRAN analysis revealed that specific bacteria belonging to cyanoHABs-related module, including connectors and module hubs, appeared to contribute to the development and collapse of cyanoHABs. Therefore, to understand cyanoHABs, a modular microbial perspective may be more helpful than a single bacterial species perspective. Frontiers Media S.A. 2019-07-17 /pmc/articles/PMC6650593/ /pubmed/31379787 http://dx.doi.org/10.3389/fmicb.2019.01637 Text en Copyright © 2019 Chun, Cui, Lee, Cho, Baek, Choi, Ko, Lee, Hwang, Oh and Ahn. http://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
Chun, Seong-Jun
Cui, Yingshun
Lee, Chang Soo
Cho, A Ra
Baek, Kiwoon
Choi, Ahyoung
Ko, So-Ra
Lee, Hyung-Gwan
Hwang, Seungwoo
Oh, Hee-Mock
Ahn, Chi-Yong
Characterization of Distinct CyanoHABs-Related Modules in Microbial Recurrent Association Network
title Characterization of Distinct CyanoHABs-Related Modules in Microbial Recurrent Association Network
title_full Characterization of Distinct CyanoHABs-Related Modules in Microbial Recurrent Association Network
title_fullStr Characterization of Distinct CyanoHABs-Related Modules in Microbial Recurrent Association Network
title_full_unstemmed Characterization of Distinct CyanoHABs-Related Modules in Microbial Recurrent Association Network
title_short Characterization of Distinct CyanoHABs-Related Modules in Microbial Recurrent Association Network
title_sort characterization of distinct cyanohabs-related modules in microbial recurrent association network
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6650593/
https://www.ncbi.nlm.nih.gov/pubmed/31379787
http://dx.doi.org/10.3389/fmicb.2019.01637
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