Spatial variation of bacterial community structure of the Northern South China Sea in relation to water chemistry

Ling, Juan; Dong, Junde; Wang, You‐Shao; Zhang, Yanying; Deng, Chao; Lin, Li; Wu, Mei-Lin; Sun, Fu-Lin

doi:10.1007/s10646-012-0941-0

Cited by 15 publications

(7 citation statements)

References 52 publications

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“…The main bacterial group, Proteobacteria and Cyanobacteria, were significantly affected by water salinity and nitrate (Ling et al 2012;Du et al 2013;Sun et al2014). However, vertical distributions of bacterial communities in this region are not well understood.…”

Section: Introductionmentioning

confidence: 99%

Spatial and vertical distribution of bacterial community in the northern South China Sea

Sun

Wang

et al. 2015

Ecotoxicology

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Microbial communities are highly diverse in coastal oceans and response rapidly with changing environments. Learning about this will help us understand the ecology of microbial populations in marine ecosystems. This study aimed to assess the spatial and vertical distributions of the bacterial community in the northern South China Sea. Multi-dimensional scaling analyses revealed structural differences of the bacterial community among sampling sites and vertical depth. Result also indicated that bacterial community in most sites had higher diversity in 0-75 m depths than those in 100-200 m depths. Bacterial community of samples was positively correlation with salinity and depth, whereas was negatively correlation with temperature. Proteobacteria and Cyanobacteria were the dominant groups, which accounted for the majority of sequences. The α-Proteobacteria was highly diverse, and sequences belonged to Rhodobacterales bacteria were dominant in all characterized sequences. The current data indicate that the Rhodobacterales bacteria, especially Roseobacter clade are the diverse group in the tropical waters.

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Section: Introductionmentioning

confidence: 99%

Spatial and vertical distribution of bacterial community in the northern South China Sea

Sun

Wang

et al. 2015

Ecotoxicology

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“…Likewise, stations A3 and A6 were in the same cluster owing to being near Xisha Islands and Luzon Island, respectively. It has been reported that stations located near the island had the similar bacterial community (Ling et al 2012). The distribution of eukaryotic ultraplankton may be influenced by the island effect.…”

Section: Discussionmentioning

confidence: 95%

“…In recent years, DGGE has been widely applied to investigate the community analysis in different ecosystems, such as oceanic waters (Díez et al 2001a;López-García et al 2001;Moon-van der Staay et al 2001;Marie et al 2006;Ling et al 2012), fresh waters (Lindström 2004;Gremberghe et al 2008;Yan et al 2008), and soil Zaady et al 2010). It has been proven that the DGGE of 18S rDNA is a high efficient method for eukaryotic microorganisms' study (Díez et al 2001a;Savin et al 2004).…”

Section: Introductionmentioning

confidence: 99%

“…The eukaryotic ultraplankton 558 Z.-Y. Jiang et al community in the nSCS has remained elusive, although a few studies were conducted in bacterial community (Lai et al 2006;Li et al 2006Li et al , 2007Ling et al 2012). In this paper, the aims were to (1) examine the diversity and spatial distribution of marine eukaryotic ultraplankton with DGGE of 18S rDNA in the nSCS, and (2) establish the relationship among the environmental characteristics, eukaryotic ultraplankton distribution and phylogenetic diversity.…”

Section: Introductionmentioning

confidence: 99%

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Spatial structure of eukaryotic ultraplankton community in the northern South China Sea

2014

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Spatial distribution, diversity and composition of eukaryotic ultraplankton community of the northern South China Sea (nSCS) surface water and the relationship with the in situ water environment were investigated by the method of polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE). A total of 18 DGGE intensive bands were detected and the sequence analysis of these DGGE bands revealed that Alveolata was the dominant eukaryotic ultraplankton group of surface water in the nSCS (50%). Other species belonged to Bicoecea, Bolidophyceae, Polycystinea and Chlorophyta, which accounted for less proportion of eukaryotic ultraplankton in the study area. Unweighted pair group method with arithmetic averages clustering of the sampling stations indicated that all stations were classified mainly based on geographical proximity. Redundancy analysis (RDA) was employed to further investigate the relationships between DGGE band pattern and the environmental variables. Based on the RDA analysis, temperature, salinity, phosphorus and silicate were the important factors to shape the eukaryotic ultraplankton community composition in the nSCS.

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“…two depth samples were used in the latter while four seasonal samples at a single site were used in this study. Bacterial communities of seawater mainly consisted of Proteobacteria (α-subdivision, β-subdivision, γ-subdivision), Actinobacteria, and Bacteroidetes [15,20,23,25]. In addition to the common predominant members, dominance of Firmicutes [15,18,23] and Cyanobacteria [23] was reported.…”

Section: Discussionmentioning

confidence: 99%

Seasonal Variations in the Bacterial Community of Gwangyang Bay Seawater

Park

Lee²,

Kang³

et al. 2014

Journal of Life Science

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Seasonal variations in the bacterial community of Gwangyang Bay seawater were analyzed using both isolation and cultivation-independent methods. Amplified rDNA restriction analysis was applied to 200 bacterial isolates. Bacterial isolates were composed of four phyla: Firmicutes, Proteobacteria, Actinobacteria, and Bacteroidetes. Pyrosequencing was conducted, in addition to denaturing gradient gel electrophoresis (DGGE) of genomic DNA extracted directly from the water samples. The bacterial sequences obtained by pyrosequencing of 16S rRNA genes consisted of 24 phyla in the spring and summer, 39 in the fall, and 32 in the winter. The diversity index was high in the fall, whereas the dominancy index was high in the spring. In the spring, phylum Firmicutes was dominant, whereas phylum Proteobacteria dominated in the other three seasons. The second most dominant phyla were Proteobacteria in the spring, Firmicutes in the summer, and Bacteroidetes both in the fall and winter.Bacilliaceae was the most predominant family in the spring. Rhodobacteraceae and Bacilliaceae dominated in the summer, and Rhodobacteraceae dominated in the winter. Neither was dominant in the fall Twenty-seven bands purified from DGGE profiles were cloned and analyzed phylogenetically. In the spring, phylum Firmicutes dominated, followed by Proteobacteria. Proteobacteria dominated in all other seasons. Thus, two cultivation-independent methods for determination of seasonal variation patterns at the phylum level were in accordance with each other.

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Spatial variation of bacterial community structure of the Northern South China Sea in relation to water chemistry

Cited by 15 publications

References 52 publications

Spatial and vertical distribution of bacterial community in the northern South China Sea

Spatial and vertical distribution of bacterial community in the northern South China Sea

Spatial structure of eukaryotic ultraplankton community in the northern South China Sea

Seasonal Variations in the Bacterial Community of Gwangyang Bay Seawater

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