Evidence map›Paper›PMID 25684124›Full record

ArticleScientific reports2015

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

Caiyun Yang, Yi Li, Benjamin Zhou, Yanyan Zhou, Wei Zheng, Yun Tian, Joy D Van Nostrand, Liyou Wu, Zhili He, Jizhong Zhou and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed.

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  10. A Novel Algicidal Bacterium,Microbiology spectrum · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Caiyun YangState 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.
Yi LiState 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.
Benjamin ZhouDepartment of Computer Science, Stanford University, Stanford, California 94305, USA.
Yanyan ZhouState 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.
Wei ZhengState 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.
Yun TianState 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.
Joy D Van NostrandInstitute for Environmental Genomics and Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 730722, USA.
Liyou WuInstitute for Environmental Genomics and Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 730722, USA.
Zhili HeInstitute for Environmental Genomics and Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 730722, USA.
Jizhong Zhou1] Institute for Environmental Genomics and Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 730722, USA [2] Earth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA [3] School of Environment, Tsinghua University, Beijing 100084, China.
Tianling ZhengState 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AlphaproteobacteriaBacteriaChinaDinoflagellidaGammaproteobacteriaHigh-Throughput Nucleotide SequencingPolymerase Chain ReactionRNA, Ribosomal, 16SSeawaterSequence Analysis, RNARNA, Ribosomal, 16S

Identifiers

PMID25684124
PMCPMC4329561

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.