PCR‐DGGE Fingerprinting Analysis of Plankton Communities and Its Relationship to Lake Trophic Status

Plankton communities in eight lakes of different trophic status near Yangtze, China were charac‐terized by using denatured gradient gel electrophoresis (DGGE). Various water quality parameters were also measured at each collection site. Following extraction of DNA from plankton communi‐ties, 16S rRNA and 18S rRNA genes were amplified with specific primers for prokaryotes and eu‐karyotes, respectively; DNA profiles were developed by DGGE. The plankton community of each lake had its own distinct DNA profile. The total number of bands identified at 34 sampling stations ranged from 37 to 111. Both prokaryotes and eukaryotes displayed complex fingerprints composed of a large number of bands: 16 to 59 bands were obtained with the prokaryotic primer set; 21 to 52 bands for the eukaryotic primer set. The DGGE‐patterns were analyzed in relation to water quality parameters by canonical correspondence analysis (CCA). Temperature, pH, alkalinity, and the con‐centration of COD, TP and TN were strongly correlated with the DGGE patterns. The parameters that demonstrated a strong correlation to the DGGE fingerprints of the plankton community differed among lakes, suggesting that differences in the DGGE fingerprints were due mainly to lake trophic status. Results of the present study suggest that PCR‐DGGE fingerprinting is an effective and precise method of identifying changes to plankton community composition, and therefore could be a useful ecological tool for monitoring the response of aquatic ecosystems to environmental perturbations. (© 2009 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

Particle-attached and free-living bacterial communities in a contrasting marine environment: Victoria Harbor, Hong Kong

Diversity of particle-attached and free-living marine bacteria in Victoria Harbor, Hong Kong, and its adjacent coastal and estuarial environments was investigated using DNA fingerprinting and clone library analysis. Denaturing gradient gel electrophoresis (DGGE) analysis of 16S rRNA genes showed that bacterial communities in three stations of Victoria Harbor were similar, but differed from those in adjacent coastal and estuarine stations. Particle-attached and free-living bacterial community composition differed in the Victoria Harbor area. DNA sequencing of 28 bands from DGGE gel showed Alphaproteobacteria was the most abundant group, followed by the Bacteroidetes, and other Proteobacteria. Bacterial species richness (number of DGGE bands) differed among stations and populations (particle-attached and free-living; bottom and surface). BIOENV analysis indicated that the concentrations of suspended solids were the major contributing parameter for the spatial variation of total bacterial community structure. Samples from representative stations were selected for clone library (548 clones) construction and their phylogenetic distributions were similar to those of sequences from DGGE. Approximately 80% of clones were affiliated to Proteobacteria, Bacteroidetes and Cyanobacteria. The possible influences of dynamic pollution and hydrological conditions in the Victoria Harbor area on the particle-attached and free-living bacterial community structures were discussed.     

Genetic diversity patterns of microbial communities in a subtropical riverine ecosystem (Jiulong River,southeast China)

Prokaryotic and eukaryotic microbes are key organisms in aquatic ecosystems and play pivotal roles in the biogeochemical cycles, but little is known about genetic diversity of these communities in subtropical rivers. In this study, microbial planktonic communities were determined by using denaturing gradient gel electrophoresis (DGGE) analysis from the Jiulong River, southeast China, and their relationships with local environmental factors were studied. The Betaproteobacteria (26%) and Dinophyceae (26%) were the most dominant taxa in prokaryotic and eukaryotic clones derived from DGGE bands, respectively. Further, both cluster and ordination analyses of prokaryotic and eukaryotic DGGE fingerprinting resulted in three identical groups from the 15 sites, which were closely related with the environmental factors. Partial redundancy analysis (partial RDA) revealed that agricultural pollution (phosphorus and nitrogen) and saltwater intrusion (conductivity and salinity) were the main factors impacting microbial community composition, by explaining more than two-thirds of the total variation in both prokaryotic (67.0%) and eukaryotic (70.5%) communities. Moreover, the robust and quantifiable relationship between DGGE results and environmental variables indicated that the community-level molecular fingerprinting techniques could support the physicochemical assessment of riverine water quality and ecosystem health.     

Longitudinal Changes in the Bacterial Community Composition of the Danube River: a Whole-River Approach

The Danube River is the second longest river in Europe, and its bacterial community composition has never been studied before over its entire length. In this study, bacterial community composition was determined by denaturing gradient gel electrophoresis (DGGE) analysis of PCR-amplified portions of the bacterial 16S rRNA gene from a total of 98 stations on the Danube River (73 stations) and its major tributaries (25 stations), covering a distance of 2,581 km. Shifts in the bacterial community composition were related to changes in environmental conditions found by comparison with physicochemical parameters (e.g., temperature and concentration of nutrients) and the concentration of chlorophyll a (Chl a). In total, 43 distinct DGGE bands were detected. Sequencing of selected bands revealed that the phylotypes were associated with typical freshwater bacteria. Apparent bacterial richness in the Danube varied between 18 and 32 bands and correlated positively with the concentration of P-PO₄ (r = 0.56) and negatively with Chl a (r = −0.52). An artificial neural network-based model explained 90% of the variation of apparent bacterial richness using the concentrations of N-NO₂ and P-PO₄ and the distance to the Black Sea as input parameters. Between the cities of Budapest and Belgrade, apparent bacterial richness was significantly lower than that of other regions of the river, and Chl a showed a pronounced peak. Generally, the bacterial community composition developed gradually; however, an abrupt and clear shift was detected in the section of the phytoplankton bloom. Large impoundments did not have a discernible effect on the bacterial community of the water column. In conclusion, the riverine bacterial community was largely influenced by intrinsic factors.     

Spatiotemporal variability in archaeal communities of tropical coastal waters

Spatiotemporal variations in the archaeal community structure from four locations along the central west coast of India were analyzed by denaturing gradient gel electrophoresis (DGGE) profiling and sequencing of prominent bands on the DGGE gels. A total of 36 water samples were collected during pre-monsoon, post-monsoon and monsoon seasons from three depths (surface, mid-depth , and close to bottom ～20 m). The community DNA extracts from these samples were subjected to DGGE analysis. The results of this study clearly indicate a significant difference in the community structure between sampling locations and seasons. Location-wise variation was more pronounced during pre-monsoon and post-monsoon seasons. During monsoon, however, the depth-wise variation was pronounced, suggesting monsoon influence on archaeal community structure. Sequencing of DGGE bands suggested the presence of marine group I and II archaea. Canonical correspondence analysis indicated that nitrate, nitrite and chlorophyll a were the significant explanatory variables responsible for > 60 % variation in archaeal community in these coastal waters.     

Seasonal variation of microbial eukaryotic community composition in the large,shallow, subtropical Taihu Lake,China

Microbial eukaryotic community (0.8–20 μm) composition and its seasonal variation were investigated in large, shallow, subtropical Lake Taihu located in Southeast China. The water samples were collected monthly from August 2006 to July 2007 at two sites distantly located in Meiliang Bay and Lake Center, which differed strongly in their trophic status and sediment resuspension. The microbial eukaryotic community compositions (MECC) were measured using denaturing gradient gel electrophoresis (DGGE) of PCR-amplified eukaryotic 18S rRNA gene fragments. Seasonal variations were related to environmental factors by means of redundancy analysis (RDA) in order to reveal the most important regulating factors. At both sites, the structures and Shannon–Wiener indices of the microbial eukaryotic communities displayed apparent seasonal variations, which were significantly related to environmental variables. There were significant intrahabitat differences in environmental factors regulating MECC, as well as in the seasonal dynamics of the two sites during the study period. At Meiliang Bay, the variations of total phosphorus concentration and cladocera abundance had the most profound impacts on the microbial eukaryotic community composition, while at Lake Center, the total nitrogen concentration and conductivity were most influential. Our results suggest that the DGGE method is a cost-effective way to analyze the seasonal dynamics of MECC and their interaction with environmental variables, which will provide new insights into the diversity and dynamics of MECC.     

Genetic diversity of picoeukaryotes in eight lakes differing in trophic status

The genetic diversity of picoeukaryotes (0.2-5.0 μm) was investigated in 8 lakes differing in trophic status in Nanjing, China. Denaturing gradient gel electrophoresis (DGGE) and cloning and sequencing of 18S rRNA genes were applied to analyze the picoeukaryotic communities. DGGE analysis showed that among the 8 lakes, the diversity of picoeukaryotes was greatest in the mesotrophic Lake Nan (24 bands) and least in the oligotrophic Lake Qian (12 bands). Cluster analysis of DGGE profiles revealed that the 8 lakes were grouped into 2 distinct clusters. Cluster 1 contained lakes Mochou, Zixia, Huashen, Nan, Pipa, and Qian, while cluster 2 contained lakes Xuanwu and Baijia. Clone libraries were constructed from the mesotrophic Lake Xuanwu and the oligotrophic Lake Zixia, and the 2 libraries were compared using the program LIBSHUFF. This analysis indicated that the picoeukaryotic community composition differed significantly between the 2 lakes (p = 0.001). A total of 25 operational taxonomic units were detected; 18 (62 clones) were related to known eukaryotic groups, while 7 (30 clones) were not affiliated with any known eukaryotic group. Alveolates and stramenopiles were the dominant groups in Lake Xuanwu, while alveolates and chlorophyta predominated in Lake Zixia. Multivariate statistical analysis indicated that the differences in the picoeukaryotic community composition of the 8 lakes might be related to trophic status and top-down regulation by metazooplankton.     

Genetic Diversity of Plankton Community as Depicted by PCR-DGGE Fingerprinting and its Relation to Morphological Composition and Environmental Factors in Lake Donghu

To collect information about the genetic diversity of the plankton community and to study how plankton respond to environmental conditions, plankton samples were collected from five stations representing different trophic levels in a shallow, eutrophic lake (Lake Donghu), and investigated by PCR-DGGE fingerprinting. A total of 100 bands (61 of 16S rDNA bands and 39 of 18S rDNA bands) were detected. The DGGE bands unique to any single station accounted for 38% of the total bands, whereas common bands detected at all five stations accounted for only 11%. Using UPGMA clustering and MDS ordination of DGGE fingerprints, stations I and II were found to initially group together into one cluster, which was later joined by station V. Stations III and IV were isolated into two separate groups of one station each. Some differences in grouping relationships were found when analysis was completed on the basis of chemical characteristics and morphological composition, with zooplankton composition showing the greatest variability. However, the most similar stations (I and II) were always initially grouped into one cluster. Moreover, stations that exhibited the same or similar trophic level (stations III and IV), but different concentrations of heavy metals, were further differentiated by the DGGE method. Results of the present study indicated that PCR-DGGE fingerprinting was more sensitive than the traditional methods, as other studies suggested. Additionally, PCR-DGGE appears to be more appropriate for diversity characterization of the plankton community, as it is more canonical, systematic, and effective. Most importantly, fingerprinting results are more convenient for the comparative analyses between different studies. Therefore, the use of the described fingerprinting analysis may provide an operable and sensitive biomonitoring approach to identify critical, and potentially negative, stress within an aquatic ecosystem.     

Spatial heterogeneity of bacterial community structure in the sediments of the Pearl River estuary

Denaturing gradient gel electrophoresis (DGGE) and multivariate statistical analytical methods were applied to investigate the spatial variation of bacterial community structure in the Pearl River estuary sediment and to address the relationship between microbial community composition and bottom water chemistry in ten different stations. Preliminary results of sequencing analysis of the excised DGGE bands suggested that α-Proteobacteria, γ-Proteobacteria, Acidobacteria and Actinobacteria were the dominant bacterial groups in the Pearl River estuary sediment. Results of multidimensional scaling analysis of these field data suggested that the composition of bacterial communities varied with sampling sites. Finally, canonical correspondence analysis of the data of environmental variables and bacterial community suggested that bacterial community structure was significantly influenced by the change of environmental variables (total phosphorus, nitrite, ammonium, dissolved oxygen, pH and salinity).     

Response of bacterioplankton community structures to hydrological conditions and anthropogenic pollution in contrasting subtropical environments

Bacterioplankton community structures under contrasting subtropical marine environments (Hong Kong waters) were analyzed using 16S rRNA gene denaturing gradient gel electrophoresis (DGGE) and subsequent sequencing of predominant bands for samples collected bimonthly from 2004 to 2006 at five stations. Generally, bacterial abundance was significantly higher in the summer than in the winter. The general seasonal variations of the bacterial community structure, as indicated by cluster analysis of the DGGE pattern, were best correlated with temperature at most stations, except for the station close to a sewage discharge outfall, which was best explained by pollution-indicating parameters (e.g. biochemical oxygen demand). Anthropogenic pollutions appear to have affected the presence and the intensity of DGGE bands at the stations receiving discharge of primarily treated sewage. The relative abundance of major bacterial species, calculated by the relative intensity of DGGE bands after PCR amplification, also indicated the effects of hydrological or seasonal variations and sewage discharges. For the first time, a systematic molecular fingerprinting analysis of the bacterioplankton community composition was carried out along the environmental and pollution gradient in a subtropical marine environment, and it suggests that hydrological conditions and anthropogenic pollutions altered the total bacterial community as well as the dominant bacterial groups.     

Longitudinal changes in the bacterial community composition of the Danube River: a whole-river approach

The Danube River is the second longest river in Europe, and its bacterial community composition has never been studied before over its entire length. In this study, bacterial community composition was determined by denaturing gradient gel electrophoresis (DGGE) analysis of PCR-amplified portions of the bacterial 16S rRNA gene from a total of 98 stations on the Danube River (73 stations) and its major tributaries (25 stations), covering a distance of 2,581 km. Shifts in the bacterial community composition were related to changes in environmental conditions found by comparison with physicochemical parameters (e.g., temperature and concentration of nutrients) and the concentration of chlorophyll a (Chl a). In total, 43 distinct DGGE bands were detected. Sequencing of selected bands revealed that the phylotypes were associated with typical freshwater bacteria. Apparent bacterial richness in the Danube varied between 18 and 32 bands and correlated positively with the concentration of P-PO(4) (r = 0.56) and negatively with Chl a (r = -0.52). An artificial neural network-based model explained 90% of the variation of apparent bacterial richness using the concentrations of N-NO(2) and P-PO(4) and the distance to the Black Sea as input parameters. Between the cities of Budapest and Belgrade, apparent bacterial richness was significantly lower than that of other regions of the river, and Chl a showed a pronounced peak. Generally, the bacterial community composition developed gradually; however, an abrupt and clear shift was detected in the section of the phytoplankton bloom. Large impoundments did not have a discernible effect on the bacterial community of the water column. In conclusion, the riverine bacterial community was largely influenced by intrinsic factors.     

Comparative studies to assess bacterial communities on the clover phylloplane using MLST, DGGE and T-RFLP

Denaturing gradient gel electrophoresis (DGGE) and terminal restriction fragment length polymorphism (T-RFLP) were used to characterise the changes that occurred in Bacillus cereus group strains present in the phylloplane of clover Trifolium hybridum over 4 months. These strains had previously been analysed by multiple locus sequence typing (MLST). DGGE displayed many equally intense bands which indicated many equally abundant ribotypes. The bacterial community composition was variable and the leaves sampled as little as a week apart were found to have some temporal variability, indicating that diverse phylloplane bacterial communities follow sequential patterns from time to time. The B. cereus group community clearly clustered into early, mid and late branches, possibly due to multiple successional sequences occurring during growing seasons. The functionally and phylogenetically diverse microbial communities appeared to exhibit predictable successional patterns over shorter time scales. DGGE analysis with the molecular marker rpoB gave better resolution than 16S rRNA amplicons. There were no strong similarities between the dendrograms produced by DGGE, MLST and T-RFLP and the clustering produced by the automated T-RFLP method was variable even between the three restriction enzymes used. The DGGE–MLST method emerged as a superior method to T-RFLP–MLST for rapid typing of bacterial communities.     

The Native Bacterioplankton Community in the Central Baltic Sea Is Influenced by Freshwater Bacterial Species

The Baltic Sea is one of the largest brackish environments on Earth. Despite extensive knowledge about food web interactions and pelagic ecosystem functioning, information about the bacterial community composition in the Baltic Sea is scarce. We hypothesized that due to the eutrophic low-salinity environment and the long water residence time (>5 years), the bacterioplankton community from the Baltic proper shows a native “brackish” composition influenced by both freshwater and marine phylotypes. The bacterial community composition in surface water (3-m depth) was examined at a single station throughout a full year. Denaturing gradient gel electrophoresis (DGGE) showed that the community composition changed over the year. Further, it indicated that at the four extensive samplings (16S rRNA gene clone libraries and bacterial isolates from low- and high-nutrient agar plates and seawater cultures), different bacterial assemblages associated with different environmental conditions were present. Overall, the sequencing of 26 DGGE bands, 160 clones, 209 plate isolates, and 9 dilution culture isolates showed that the bacterial assemblage in surface waters of the central Baltic Sea was dominated by Bacteroidetes but exhibited a pronounced influence of typical freshwater phylogenetic groups within Actinobacteria, Verrucomicrobia, and Betaproteobacteria and a lack of typical marine taxa. This first comprehensive analysis of bacterial community composition in the central Baltic Sea points to the existence of an autochthonous estuarine community uniquely adapted to the environmental conditions prevailing in this brackish environment.     

珠江口水体浮游细菌种群多样性空间分布特征

为认识珠江口水体浮游细菌的多样性分布规律,运用聚合酶链式反应-变性梯度凝胶电泳(PCR-DGGE)和多维尺度分析(MDS)的方法,研究了春季珠江口十个站位表底水层浮游细菌种群16SrRNA基因多样性特征。研究结果表明,珠江口浮游细菌种群具有丰富的基因多样性;不同站位细菌群落结构和优势种群变化显著:大多数站位表底层细菌群落结构比较相似,河口外站位(A12,A14和C5),表底层细菌群落结构差异性较大:多样性分析表明A14,B6和C5站位底层细菌多样性大于表层。遗传发育分析表明,序列归属于变形细菌(Proteobacteria),酸杆菌(Acidobacteria),蓝细菌(Cyanobacteria),厚壁细菌(Firmicutes)和放线菌(Actinobacteria)。变形细菌(Proteobacteria)种类最多,从河口内淡水区到河口外海水区都有大量分布,是珠江口水域占优势的菌群;同时也检测到种类丰富的放线菌(Actinobacteria)的存在,也是珠江口水域的优势菌群。     

Relating MEC population dynamics to anode performance from DGGE and electrical data

The microbial electrolysis cell (MEC) is a promising system for H₂ production, but little is known about the active microbial population in MEC systems. Therefore, the microbial community of five different MEC graphite felt anodes was analyzed using denaturing gradient gel electrophoresis (DGGE) profiling. The results showed that the bacterial population was very diverse and there were substantial differences between microorganisms in anolyte and anode samples. The archaeal population in the anolyte and at the anodes, and between the different MEC anodes, was very similar. SEM and FISH imaging showed that Archaea were mainly present in the spaces between the electrode fibers and Bacteria were present at the fiber surface, which suggested that Bacteria were the main microorganisms involved in MEC electrochemical activity. Redundancy analysis (RDA) and QR factorization-based estimation (QRE) were used to link the composition of the bacterial community to electrochemical performance of the MEC. The operational mode of the MECs and their consequent effects on current density and anode resistance on the populations were significant. The results showed that the community composition was most strongly correlated with current density. The DGGE band mostly correlated with current represented a Clostridium sticklandii strain, suggesting that this species had a major role in current from acetate generation at the MEC anodes. The combination of RDA and QRE seemed especially promising for obtaining an insight into the part of the microbial population actively involved in electrode interaction in the MEC.     

Microbial Biogeography along an Estuarine Salinity Gradient: Combined Influences of Bacterial Growth and Residence Time

Shifts in bacterioplankton community composition along the salinity gradient of the Parker River estuary and Plum Island Sound, in northeastern Massachusetts, were related to residence time and bacterial community doubling time in spring, summer, and fall seasons. Bacterial community composition was characterized with denaturing gradient gel electrophoresis (DGGE) of PCR-amplified 16S ribosomal DNA. Average community doubling time was calculated from bacterial production ([¹⁴C]leucine incorporation) and bacterial abundance (direct counts). Freshwater and marine populations advected into the estuary represented a large fraction of the bacterioplankton community in all seasons. However, a unique estuarine community formed at intermediate salinities in summer and fall, when average doubling time was much shorter than water residence time, but not in spring, when doubling time was similar to residence time. Sequencing of DNA in DGGE bands demonstrated that most bands represented single phylotypes and that matching bands from different samples represented identical phylotypes. Most river and coastal ocean bacterioplankton were members of common freshwater and marine phylogenetic clusters within the phyla Proteobacteria, Bacteroidetes, and Actinobacteria. Estuarine bacterioplankton also belonged to these phyla but were related to clones and isolates from several different environments, including marine water columns, freshwater sediments, and soil.     

Recruitment of Antarctic marine eukaryotes onto artificial surfaces

Activities related to Antarctic research stations have caused significant local impacts on the marine environment, potentially affecting the recruitment of benthic invertebrates. Herein, we report the community structure of recruiting marine eukaryotes onto artificial substrata using molecular techniques. Slides were deployed at three sites adjacent to McMurdo Station, Scott Base, and Cape Armitage in McMurdo Sound. Denaturing gradient gel electrophoresis (DGGE) analysis revealed complex and diverse eukaryotic communities had established on artificial surfaces deployed at a range of site and depth regimes after 12 months. Analysis of similarity results detected significantly greater variability in community profiles among sites than within sites. The nonmetric multidimensional scaling plot constructed from DGGE banding patterns revealed different benthic communities had established at 12 and 18 m depths. Despite this, the variation in community composition was greater among sites than between depths, especially at Cape Armitage and Scott Base. Sequence analysis of excised DGGE bands revealed a predominance of arthropod and dinoflagellate sequences at Cape Armitage. In contrast, a wide diversity of phyla including cnidaria, bryozoa, protozoa, dinoflagellates, arthropods, platyhelminths, and annelids were present adjacent to the two research stations. The abundance of diatoms detected in Cape Armitage benthic assemblages exceeded the abundance of diatoms from McMurdo Station and Scott Base by almost two orders of magnitude. The discovery that distinct eukaryotic communities recruit at different sites and depths is probably due to complex interactions between multiple factors including water quality, larval supply, and light. The detection of sessile phyla on slides at each of the sites indicates that the pollution profiles present at each site is not an impediment to successful recruitment of these species.     

Influence of Effluent Irrigation on Community Composition and Function of Ammonia-Oxidizing Bacteria in Soil

The effect of effluent irrigation on community composition and function of ammonia-oxidizing bacteria (AOB) in soil was evaluated, using techniques of molecular biology and analytical soil chemistry. Analyses were conducted on soil sampled from lysimeters and from a grapefruit orchard which had been irrigated with wastewater effluent or fertilizer-amended water (FAW). Specifically, comparisons of AOB community composition were conducted using denaturing gradient gel electrophoresis (DGGE) of PCR-amplified fragments of the gene encoding the α-subunit of the ammonia monooxygenase gene (amoA) recovered from soil samples and subsequent sequencing of relevant bands. A significant and consistent shift in the population composition of AOB was detected in soil irrigated with effluent. This shift was absent in soils irrigated with FAW, despite the fact that the ammonium concentration in the FAW was similar. At the end of the irrigation period, Nitrosospira-like populations were dominant in soils irrigated with FAW, while Nitrosomonas-like populations were dominant in effluent-irrigated soils. Furthermore, DGGE analysis of the amoA gene proved to be a powerful tool in evaluating the soil AOB community population and population shifts therein.     

Ultra- and microplankton assemblages as indicators of trophic status in a Mediterranean lagoon

The seasonal abundance distribution of heterotrophic prokaryotes, pico- and nanophytoplankton, was investigated in connection with environmental variables and microplankton abundance at five stations in Ghar El Melh Lagoon (northeastern Tunisia). Flow cytometry analysis of ultraplankton resolved (i) five heterotrophic prokaryote groups labelled LNA1, LNA2 (low nucleic acid content), HNA1, HNA2 and HNA3 (high nucleic acid content) and (ii) at least 14 ultraphytoplankton groups assigned to picoeukaryotes, picoprokaryotes, nanoeukaryotes, cryptophyte-like cells and some unknown communities. Redundancy analysis (RDA) revealed (i) autumn-summer outbreaks of heterotrophic prokaryotes dominated by HNA groups and (ii) winter-summer proliferation of ultraphytoplankton dominated by nanophytoplankton groups. Generalized additive models (GAM) highlighted the role of (i) water temperature and orthophosphate concentrations in heterotrophic prokaryote distribution and (ii) water temperature and salinity in ultraphytoplankton abundance variation. Based on Spearman's rank correlation, significant negative correlations were established between ultra- and microplankton communities suggesting that, through grazing pressure, microplankton may be behind the drastic decrease in ultraplankton abundances in spring.