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Title: Illumina sequencing-based analysis of free-living bacterial community dynamics during an Akashiwo sanguine bloom in Xiamen sea, China

Abstract

Although phytoplankton are the major source of marine dissolved organic matter (DOM), their blooms are a global problem that can greatly affect marine ecological systems, especially free-living bacteria, which are the primary DOM degraders. In this study, we analyzed free-living bacterial communities from Xiamen sea during an Akashiwo sanguine bloom using Illumina MiSeq sequencing of 16S rRNA gene amplicons. The bloom was probably stimulated by low salinity and ended after abatement of eutrophication pollution. A total of 658,446 sequence reads and 11,807 OTUs were obtained in both bloom and control samples with Alpha-proteobacteria and Gamma-proteobacteria being the predominant classes detected. The bloom decreased bacterial diversity, increased species evenness and significantly changed the bacterial community structure. Bacterial communities within the bloom were more homogeneous than those within the control area. The bacteria stimulated by this bloom included the SAR86 and SAR116 clades and the AEGEAN-169 marine group, but a few were suppressed. In addition, many bacteria known to be associated with phytoplankton were detected only in the bloom samples. This study revealed the great influence of an A. sanguinea bloom on free-living bacterial communities and provided new insights into the relationship between bacteria and A. sanguinea in marine ecosystems.

Authors:
 [1];  [2];  [3];  [2];  [2];  [2];  [4];  [4];  [4];  [5];  [2]
  1. State Key Laboratory for Marine Environmental Science and Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, School of Life Sciences, Xiamen University, Xiamen, China
  2. State Key Laboratory for Marine Environmental Science and Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, School of Life Sciences, Xiamen University, Xiamen, 361005, China
  3. Stanford Univ., Stanford, CA (United States). Dept. of Computer Science
  4. Univ. of Oklahoma, Norman, OK, (United States). Inst. for Environmental Genomics and Dept. of Microbiology and Plant Biology
  5. Univ. of Oklahoma, Norman, OK, (United States). Inst. for Environmental Genomics and Dept. of Microbiology and Plant Biology; ; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Earth Sciences Division
Publication Date:
Research Org.:
Lawrence Berkeley National Lab (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Sciene (SC); The Natural Science Foundation of China; Public Science and Technology Research Funds for Ocean Projects; Program for Changjiang Scholars and Innovative Research Team in University
OSTI Identifier:
1624758
Grant/Contract Number:  
AC02-05CH11231; 41376119; 40930847; 201305016; 201305022; 41121091
Resource Type:
Accepted Manuscript
Journal Name:
Scientific Reports
Additional Journal Information:
Journal Volume: 5; Journal Issue: 1; Journal ID: ISSN 2045-2322
Publisher:
Nature Publishing Group
Country of Publication:
United States
Language:
English
Subject:
Science & Technology - Other Topics

Citation Formats

Yang, Caiyun, Li, Yi, Zhou, Benjamin, Zhou, Yanyan, Zheng, Wei, Tian, Yun, Van Nostrand, Joy D., Wu, Liyou, He, Zhili, Zhou, Jizhong, and Zheng, Tianling. Illumina sequencing-based analysis of free-living bacterial community dynamics during an Akashiwo sanguine bloom in Xiamen sea, China. United States: N. p., 2015. Web. doi:10.1038/srep08476.
Yang, Caiyun, Li, Yi, Zhou, Benjamin, Zhou, Yanyan, Zheng, Wei, Tian, Yun, Van Nostrand, Joy D., Wu, Liyou, He, Zhili, Zhou, Jizhong, & Zheng, Tianling. Illumina sequencing-based analysis of free-living bacterial community dynamics during an Akashiwo sanguine bloom in Xiamen sea, China. United States. https://doi.org/10.1038/srep08476
Yang, Caiyun, Li, Yi, Zhou, Benjamin, Zhou, Yanyan, Zheng, Wei, Tian, Yun, Van Nostrand, Joy D., Wu, Liyou, He, Zhili, Zhou, Jizhong, and Zheng, Tianling. Mon . "Illumina sequencing-based analysis of free-living bacterial community dynamics during an Akashiwo sanguine bloom in Xiamen sea, China". United States. https://doi.org/10.1038/srep08476. https://www.osti.gov/servlets/purl/1624758.
@article{osti_1624758,
title = {Illumina sequencing-based analysis of free-living bacterial community dynamics during an Akashiwo sanguine bloom in Xiamen sea, China},
author = {Yang, Caiyun and Li, Yi and Zhou, Benjamin and Zhou, Yanyan and Zheng, Wei and Tian, Yun and Van Nostrand, Joy D. and Wu, Liyou and He, Zhili and Zhou, Jizhong and Zheng, Tianling},
abstractNote = {Although phytoplankton are the major source of marine dissolved organic matter (DOM), their blooms are a global problem that can greatly affect marine ecological systems, especially free-living bacteria, which are the primary DOM degraders. In this study, we analyzed free-living bacterial communities from Xiamen sea during an Akashiwo sanguine bloom using Illumina MiSeq sequencing of 16S rRNA gene amplicons. The bloom was probably stimulated by low salinity and ended after abatement of eutrophication pollution. A total of 658,446 sequence reads and 11,807 OTUs were obtained in both bloom and control samples with Alpha-proteobacteria and Gamma-proteobacteria being the predominant classes detected. The bloom decreased bacterial diversity, increased species evenness and significantly changed the bacterial community structure. Bacterial communities within the bloom were more homogeneous than those within the control area. The bacteria stimulated by this bloom included the SAR86 and SAR116 clades and the AEGEAN-169 marine group, but a few were suppressed. In addition, many bacteria known to be associated with phytoplankton were detected only in the bloom samples. This study revealed the great influence of an A. sanguinea bloom on free-living bacterial communities and provided new insights into the relationship between bacteria and A. sanguinea in marine ecosystems.},
doi = {10.1038/srep08476},
journal = {Scientific Reports},
number = 1,
volume = 5,
place = {United States},
year = {Mon Feb 16 00:00:00 EST 2015},
month = {Mon Feb 16 00:00:00 EST 2015}
}

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