Journal Article
- Carbohydrate metabolism genes dominant in a subtropical marine mangrove ecosystem revealed by metagenomics analysis
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Huaxian Zhao , Bing Yan , Shuming Mo , Shiqing Nie , Quanwen Li , Qian Ou , Bo Wu , Gonglingxia Jiang , Jinli Tang , Nan Li , Chengjian Jiang
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J. Microbiol. 2019;57(7):575-586. Published online June 27, 2019
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DOI: https://doi.org/10.1007/s12275-019-8679-5
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Abstract
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Mangrove sediment microorganisms play a vital role in the
energy transformation and element cycling in marine wetland
ecosystems. Using metagenomics analysis strategy, we
compared the taxonomic structure and gene profile of the
mangrove and non-mangrove sediment samples at the subtropical
estuary in Beibu Gulf, South China Sea. Proteobacteria,
Bacteroidetes, and Firmicutes were the most abundant
bacterial phyla. Archaeal family Methanosarcinaceae
and bacterial genera Vibrio and Dehalococcoides were significantly
higher in the mangrove sediments than in the nonmangrove
sediments. Functional analysis showed that “Carbohydrate
metabolism” was the most abundant metabolic
category. The feature of carbohydrate-active enzymes (CZs)
was analyzed using the Carbohydrate-Active EnZymes Database.
The significant differences of CZs between mangrove
and non-mangrove sediments, were attributed to the amounts
of polyphenol oxidase (EC 1.10.3.-), hexosyltransferase (EC
2.4.1.-), and β-N-acetylhexosaminidase (EC 3.2.1.52), which
were higher in the mangrove sediment samples. Principal
component analysis indicated that the microbial community
and gene profile between mangrove and non-mangrove sediments
were distinct. Redundancy analysis showed that total
organic carbon is a significant factor that affects the microbial
community and gene distribution. The results indicated
that the mangrove ecosystem with massive amounts of organic
carbon may promote the richness of carbohydrate metabolism
genes and enhance the degradation and utilization
of carbohydrates in the mangrove sediments.
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Citations
Citations to this article as recorded by

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Marine Pollution Bulletin.2024; 209: 117166. CrossRef - Unraveling the role of bacterial communities in mangrove habitats under the urban influence, using a next-generation sequencing approach
Mayukhmita Ghose, Ashutosh Shankar Parab, Cathrine Sumathi Manohar, Deepika Mohanan, Ashwini Toraskar
Journal of Sea Research.2024; 198: 102469. CrossRef - Living in mangroves: a syntrophic scenario unveiling a resourceful microbiome
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BMC Microbiology.2024;[Epub] CrossRef - Metagenomic 16S rRNA analysis and predictive functional profiling revealed intrinsic organohalides respiration and bioremediation potential in mangrove sediment
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BMC Microbiology.2024;[Epub] CrossRef -
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Science of The Total Environment.2021; 792: 148486. CrossRef -
Acuticoccus mangrovi sp. nov., with an antibacterial property, isolated from mangrove sediment
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International Journal of Systematic and Evolutionary Microbiology
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Research Support, Non-U.S. Gov't
- Microbial communities inhabiting oil-contaminated soils from two major oilfields in Northern China: Implications for active petroleum-degrading capacity
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Weimin Sun , Yiran Dong , Pin Gao , Meiyan Fu , Kaiwen Ta , Jiwei Li
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J. Microbiol. 2015;53(6):371-378. Published online May 30, 2015
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DOI: https://doi.org/10.1007/s12275-015-5023-6
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59
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Abstract
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Although oilfields harbor a wide diversity of microorganisms
with various metabolic potentials, our current knowledge
about oil-degrading bacteria is limited because the vast majority
of oil-degrading bacteria remain uncultured. In the
present study, microbial communities in nine oil-contaminated
soils collected from Daqing and Changqing, two of the
largest oil fields in China, were characterized through highthroughput
sequencing of 16S rRNA genes. Bacteria related
to the phyla Proteobacteria and Actinobacteria were dominant
in four and three samples, respectively. At the genus level,
Alkanindiges, Arthrobacter, Pseudomonas, Mycobacterium,
and Rhodococcus were frequently detected in nine soil samples.
Many of the dominant genera were phylogenetically
related to the known oil-degrading species. The correlation
between physiochemical parameters within the microbial
communities was also investigated. Canonical correspondence
analysis revealed that soil moisture, nitrate, TOC, and pH
had an important impact in shaping the microbial communities
of the hydrocarbon-contaminated soil. This study provided
an in-depth analysis of microbial communities in oilcontaminated
soil and useful information for future bioremediation
of oil contamination.
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