Denaturing Gradient Gel Electrophoresis Can Rapidly Display the Bacterial Diversity Contained in 16S rDNA Clone Libraries

Two different strategies for molecular analysis of bacterial diversity, 16S rDNA cloning and denaturing gradient gel electrophoresis (DGGE), were combined into a single protocol that took advantage of the best attributes of each: the ability of cloning to package DNA sequence information and the ability of DGGE to display a community profile. In this combined protocol, polymerase chain reaction products from environmental DNA were cloned, and then DGGE was used to screen the clone libraries. Both individual clones and pools of randomly selected clones were analyzed by DGGE, and these migration patterns were compared to the conventional DGGE profile produced directly from environmental DNA. For two simple bacterial communities (biofilm from a humics-fed laboratory reactor and planktonic bacteria filtered from an urban freshwater pond), pools of 35–50 clones produced DGGE profiles that contained most of the bands visible in the conventional DGGE profiles, indicating that the clone pools were adequate for identifying the dominant genotypes. However, DGGE profiles of two different pools of 50 clones from a lawn soil clone library were distinctly different from each other and from the conventional DGGE profile, indicating that this small number of clones poorly represented the bacterial diversity in soil. Individual clones with the same apparent DGGE mobility as prominent bands in the humics reactor community profiles were sequenced from the clone plasmid DNA rather than from bands excised from the gel. Because a longer fragment was cloned (∼1500 bp) than was actually analyzed in DGGE (∼350 bp), far more sequence information was available using this approach that could have been recovered from an excised gel band. This clone/DGGE protocol permitted rapid analysis of the microbial diversity in the two moderately complex systems, but was limited in its ability to represent the diversity in the soil microbial community. Nonetheless, clone/DGGE is a promising strategy for fractionating diverse microbial communities into manageable subsets consisting of small pools of clones.     

Analysis of a diverse assemblage of diazotrophic bacteria from Spartina alterniflora using DGGE and clone library screening

Methods to assess the diversity of the diazotroph assemblage in the rhizosphere of the salt marsh cordgrass, Spartina alterniflora were examined. The effectiveness of nifH PCR-denaturing gradient gel electrophoresis (DGGE) was compared to that of nifH clone library analysis. Seventeen DGGE gel bands were sequenced and yielded 58 nonidentical nifH sequences from a total of 67 sequences determined. A clone library constructed using the GC-clamp nifH primers that were employed in the PCR-DGGE (designated the GC-Library) yielded 83 nonidentical sequences from a total of 257 nifH sequences. A second library constructed using an alternate set of nifH primers (N-Library) yielded 83 nonidentical sequences from a total of 138 nifH sequences. Rarefaction curves for the libraries did not reach saturation, although the GC-Library curve was substantially dampened and appeared to be closer to saturation than the N-Library curve. Phylogenetic analyses showed that DGGE gel band sequencing recovered nifH sequences that were frequently sampled in the GC-Library, as well as sequences that were infrequently sampled, and provided a species composition assessment that was robust, efficient, and relatively inexpensive to obtain. Further, the DGGE method permits a large number of samples to be examined for differences in banding patterns, after which bands of interest can be sampled for sequence determination.     

PCR-DGGE研究微生物种群中多条带产生原因分析

鸡肠道微生物菌群经PCR-DGGE分析,回收PCR-DGGE分析胶上的一条DNA片段,回收的DNA片段再重复进行2次PCR-DGGE分析,以及分别用PCR反复循环扩增和PCR高保真酶扩增后再进行DGGE分析等方法研究PCR-DGGE分析中多条带产生原因。结果显示PCR-DGGE分析中多条带产生原因可能是作PCR扩增模板的DNA混杂有少量其他DNA片段,多条带现象不易被消除。DGGE分析胶上的DNA片段测序时,将该DNA片段回收、PCR扩增后克隆,提取多个阳性克隆菌的质粒DNA片段,分别与其原目的DNA片段进行DGGE分析,在DGGE分析胶上选取与原目的DNA片段处于同一电泳位置的质粒DNA测序,提高测序的准确性。     

Distinctive archaebacterial species associated with anaerobic rumen protozoan <Emphasis Type="Italic">Entodinium caudatum</Emphasis>

The diversity of archaebacteria associated with anaerobic rumen protozoan Entodinium caudatum in long term in vitro culture was investigated by denaturing gradient gel electrophoresis (DGGE) analysis of hypervariable V3 region of archaebacterial 16S rRNA gene. PCR was accomplished directly from DNA extracted from a single protozoal cell and from total community genomic DNA and the obtained fingerprints were compared. The analysis indicated the presence of a solitary intensive band present in Entodinium caudatum single cell DNA, which had no counterparts in the profile from total DNA. The identity of archaebacterium represented by this band was determined by sequence analysis which showed that the sequence fell to the cluster of ciliate symbiotic methanogens identified recently by 16S gene library approach.     

Denaturing gradient gel method for mapping single base changes in human mitochondrial DNA.

A denaturing gradient gel electrophoresis (DGGE) method is described that detects even single base pair changes in mitochondrial DNA (mtDNA). In this method, restriction fragments of mtDNA are electrophoresed in a urea/formamide gradient gel at 60 degrees C. Migration distance of each mtDNA fragment in the gel depends on melting behavior which reflects base composition. Fragments are located by Southern blotting with specific mtDNA probes. With just four carefully chosen restriction enzymes and as little as 50-100 ng of mtDNA, the method covers almost the entire human mitochondrial genome. To demonstrate the method, human mtDNA was analyzed. In six normal individuals, DGGE revealed melting behavior polymorphisms (MBPs) in mtDNA fragments that were not detected by restriction fragment length polymorphism (RFLP) analysis in agarose gels. Another individual, shown to have a melting behavior polymorphism in the cytochrome b coding region, was studied in detail. By mapping, the mutation was deduced to lie between nt 14905 and 15370. The affected fragment was amplified by PCR and sequenced. Specific base changes were identified in the region predicted by the gel result. This method will be especially useful as a diagnostic tool in mitochondrial disease for rapid localization of mtDNA mutations to specific regions of the genome, but DGGE also could complement RFLP analysis as a more sensitive method to follow maternal lineage in human and animal populations in a variety of research fields.     

昆明盐矿古老岩盐沉积中的原核生物多样性

应用PCR-DGGE和rRNA分析法研究了昆明盐矿古老岩盐沉积中的原核生物多样性。样品的细菌DGGE分析得到27条带,古菌得到18条带。样品与纯培养得到的19个属菌株的DGGE图谱对比分析发现,细菌18个属菌株,只有1个属菌株与样品中的1条带迁移位置都不一致;古菌1个属的菌株不与样品中任何条带迁移位置一致。表明纯培养所得菌株并非该环境中的优势类群。同时,建立了样品细菌和古菌的16S rDNA克隆文库,从中分别挑取36个细菌克隆和20个古菌克隆进行ARDRA分析。细菌可分为10个OTUs,其中3个OTUs是优势类群,分别占38.9%,25.0%,16.7%,其余7个OTUs各含有1个克隆。古菌分为8个OTUs,没有明显的优势类群。每个OTU的代表克隆16S rDNA序列分析表明,细菌分属3大类群:α-Proteobacteria,γ-Proteobacteria和Actinobacteria,以Pseudomonas属菌为优势,含有其它岩盐沉积中没有发现的Actinobacteria。古菌主要是Halorubrum属、Haloterrigena属菌和未培养古菌。本研究表明,昆明盐矿古老岩盐沉积具有较丰富的原核生物多样性,含有大量未知的、未培养或不可培养的原核生物,但在原核生物物种组成和丰度上,免培养与此前的纯培养研究结果存在一定差异。因此,结合使用两类方法才能较全面地认识高盐极端环境微生物的多样性。     

Optimized sequence retrieval from single bands of temperature gradient gel electrophoresis profiles of the amplified 16S rDNA fragments from an activated sludge system

Sequence retrieval from single bands of polymerase chain reaction (PCR)-denaturing gel electrophoresis (DGE) profiles is an important but often difficult step for molecular diversity analysis of complex microbial communities such as activated sludge systems. We analyzed the temperature gradient gel electrophoresis (TGGE) profiles of PCR-amplified 16S rDNA fragments from an activated sludge sample of a coking wastewater treatment plant. Single bands were excised, and a clone library was constructed for each. Sequence heterogeneity in each single band was found to be significantly overestimated due to single-stranded DNA (ssDNA) contamination formed during the PCR amplification, since only 10-60% of library clones of each single TGGE band had identical migration behavior compared with the parent band. Three methods, digestion with mung bean nuclease, optimization of PCR amplification, and purification via denatured polyacrylamide gel electrophoresis (d-PAGE), were compared for their ability to minimize ssDNA contamination, with the last one being the most efficient. After using d-PAGE to minimize ssDNA to a nearly nondetectable level, 70-100% of library clones for each single TGGE band had identical migration compared with the parent band. Several sequences were found in each of six single bands, and this co-migration could be predicted with the Poland software. The predominant bacteria of the activated sludge were assessed via a combination of sequence retrieval from each single TGGE band and band intensity analysis. Only beta and alpha subclasses of the Proteobacteria were detected, 93.8% and 6.2%, respectively. Our work suggests that prior to constructing a clone library to retrieve the actual sequence diversity of a single DGE band, it is advisable to minimize ssDNA contamination to a nondetectable level.     

Application of rDNA-PCR amplification and DGGE fingerprinting for detection of microbial diversity in a Malaysian crude oil

Two culture-independent methods, namely ribosomal DNA libraries and denaturing gradient gel electrophoresis (DGGE), were adopted to examine the microbial community of a Malaysian light crude oil. In this study, both 16S and 18S rDNAs were PCR-amplified from bulk DNA of crude oil samples, cloned, and sequenced. Analyses of restriction fragment length polymorphism (RFLP) and phylogenetics clustered the 16S and 18S rDNA sequences into seven and six groups, respectively. The ribosomal DNA sequences obtained showed sequence similarity between 90 to 100% to those available in the GenBank database. The closest relatives documented for the 16S rDNAs include member species of Thermoincola and Rhodopseudomonas, whereas the closest fungal relatives include Acremonium, Ceriporiopsis, Xeromyces, Lecythophora, and Candida. Others were affiliated to uncultured bacteria and uncultured ascomycete. The 16S rDNA library demonstrated predomination by a single uncultured bacterial type by >80% relative abundance. The predomination was confirmed by DGGE analysis.     

Methanotrophic diversity in high arctic wetlands on the islands of Svalbard (Norway)--denaturing gradient gel electrophoresis analysis of soil DNA and enrichment cultures

The methanotrophic community in arctic soil from the islands of Svalbard, Norway (78 degrees N) was analysed by combining group-specific PCR with PCR of the highly variable V3 region of the 16S rRNA gene and then by denaturing gradient gel electrophoresis (DGGE). Selected bands were sequenced for identification. The analyses were performed with DNA extracted directly from soil and from enrichment cultures at 10 and 20 degrees C. The two genera Methylobacter and Methylosinus were found in all localities studied. The DGGE band patterns were simple, and DNA fragments with single base differences were separated. The arctic tundra is a potential source of extensive methane emission due to climatic warming because of its large reservoirs of stored organic carbon. Higher temperatures due to climatic warming can cause increased methane production, and the abundance and activity of methane-oxidizing bacteria in the arctic soil may be important regulators for methane emission to the atmosphere.     

Association of Phosphatidylcholine with Soybean 11S Globulin

To address the multiplicity of aromatic ring hydroxylation dioxygenases, we used PCR amplification and denaturing gradient gel electrophoresis (DGGE). The amplified DNA fragments separated into five bands, A to E. Southern hybridization analysis of RHA1 total DNA using the probes for each band showed that band C originated from a couple of homologous genes. The nucleotide sequences of the bands showed that bands A, C, and E would be parts of new dioxygenase genes in RHA1. That of band B agreed with the bphA1 gene, which was characterized previously. That of band D did not correspond to any known gene sequences. The regions including the entire open reading frames (ORFs) were cloned and sequenced. The nucleotide sequences of ORFs suggested that the genes of bands A,C, and E may respectively encode benzoate, biphenyl, and polyhydrocarbon dioxygenases. Northern hybridization indicated the induction of the gene of band A by benzoate and biphenyl, and that of the gene of band C by biphenyl and ethylbenzene, supporting the above notions. The gene of band E was not induced by any of these substrates. Thus the combination of DGGE and Southern hybridization enable us to address the multiplicity of the ring hydroxylation dioxygenase genes and to isolate some of them.     

Denaturing gradient gel electrophoresis (DGGE) approaches to study the diversity of ammonia-oxidizing bacteria

Denaturing gradient gel electrophoresis (DGGE) of PCR amplicons of the ammonia monooxygenase gene (amoA) was developed and employed to investigate the diversity of ammonia-oxidizing bacteria (AOB) in four different habitats. The results were compared to DGGE of PCR-amplified partial 16S rDNA sequences made with primers specific for ammonia-oxidizing bacteria. Potential problems, such as primer degeneracy and multiple gene copies of the amoA gene, were investigated to evaluate and minimize their possible impact on the outcome of a DGGE analysis. amoA and 16S rDNA amplicons were cloned, and a number of clones screened by DGGE to determine the abundance of different motility types in the clone library. The abundance of clones was compared to the relative intensity of bands emerging in the band pattern produced by direct amplification of the genes from the environmental sample. Selected clones were sequenced to evaluate the specificity of the respective primers. The 16S rDNA primer pair, reported to be specific for ammonia-oxidizing bacteria (AOB), generated several sequences that were not related to the known Nitrosospira-Nitrosomonas group and, thus, not likely to be ammonia oxidizers. However, no false positives were found among the sequences retrieved with the modified amoA primers. Some phylogenetic information could be deduced from the position of amoA bands in DGGE gels. The Nitrosomonas-like sequences were found within a denaturant range from 30% to 46%, whereas the Nitrosospira-like sequences migrated to 50% to 60% denaturant. The majority of retrieved sequences from all four habitats with high ammonia loads were Nitrosomonas-like and only few Nitrosospira-like sequences were detected.     

Multiplicity of aromatic ring hydroxylation dioxygenase genes in a strong PCB degrader, Rhodococcus sp. strain RHA1 demonstrated by denaturing gradient gel electrophoresis

To address the multiplicity of aromatic ring hydroxylation dioxygenases, we used PCR amplification and denaturing gradient gel electrophoresis (DGGE). The amplified DNA fragments separated into five bands, A to E. Southern hybridization analysis of RHA1 total DNA using the probes for each band showed that band C originated from a couple of homologous genes. The nucleotide sequences of the bands showed that bands A, C, and E would be parts of new dioxygenase genes in RHA1. That of band B agreed with the bphA1 gene, which was characterized previously. That of band D did not correspond to any known gene sequences. The regions including the entire open reading frames (ORFs) were cloned and sequenced. The nucleotide sequences of ORFs suggested that the genes of bands A, C, and E may respectively encode benzoate, biphenyl, and polyhydrocarbon dioxygenases. Northern hybridization indicated the induction of the gene of band A by benzoate and biphenyl, and that of the gene of band C by biphenyl and ethylbenzene, supporting the above notions. The gene of band E was not induced by any of these substrates. Thus the combination of DGGE and Southern hybridization enable us to address the multiplicity of the ring hydroxylation dioxygenase genes and to isolate some of them.     

Combining culture-dependent and -independent methodologies for estimation of richness of estuarine bacterioplankton consuming riverine dissolved organic matter

Three different methods for analyzing natural microbial community diversity were combined to maximize an estimate of the richness of bacterioplankton catabolizing riverine dissolved organic matter (RDOM). We also evaluated the ability of culture-dependent quantitative DNA-DNA hybridization, a 16S rRNA gene clone library, and denaturing gradient gel electrophoresis (DGGE) to detect bacterial taxa in the same sample. Forty-two different cultivatable strains were isolated from rich and poor solid media. In addition, 50 unique clones were obtained by cloning of the bacterial 16S rDNA gene amplified by PCR from the community DNA into an Escherichia coli vector. Twenty-three unique bands were sequenced from 12 DGGE profiles, excluding a composite fuzzy band of the Cytophaga-Flavobacterium group. The different methods gave similar distributions of taxa at the genus level and higher. However, the match at the species level among the methods was poor, and only one species was identified by all three methods. Consequently, all three methods identified unique subsets of bacterial species, amounting to a total richness of 97 operational taxonomic units in the experimental system. The confidence in the results was, however, dependent on the current precision of the phylogenetic determination and definition of the species. Bacterial consumers of RDOM in the studied estuary were primarily both cultivatable and uncultivable taxa of the Cytophaga-Flavobacterium group, a concordant result among the methods applied. Culture-independent methods also suggested several not-yet-cultivated beta-proteobacteria to be RDOM consumers.     

Diversity of an ectomycorrhizal fungal community studied by a root tip and total soil DNA approach

Molecular methods based on soil DNA extracts are increasingly being used to study the fungal diversity of ectomycorrhizal (EM) fungal communities in soil. Contrary to EM root tip identification, the use of molecular methods enables identification of extramatrical mycelia in soil. To compare fungal diversity as determined by root tip identification and mycelial identification, six soil samples were analysed. Root tips were extracted from the six samples and after amplification, the basidiomycete diversity on the root tips was analysed by denaturing gradient gel electrophoresis (DGGE). The soil from the six samples was sieved, total soil DNA was extracted and after amplification, the basidiomycete diversity in the soil fractions was analysed by DGGE. Fourteen different bands were excised from the DGGE gel and sequenced; fungal taxon names could be assigned to eight bands. Out of a total of 14 fungal taxa detected in soil, 11 fungal taxa were found on root tips, of which seven were EM fungal taxa. To examine whether the sieving treatment would affect EM species diversity, two different sieve mesh sizes were used and in addition, the organic soil fraction was analysed separately. DGGE analysis showed no differences in banding pattern for the different soil fractions. The organic fraction gave the highest DGGE band intensities. This work demonstrates that there is a high correspondence between basidiomycete diversity detected by molecular analysis of root tips and soil samples, irrespective of the soil fraction being analysed.     

Observation of bias associated with re-amplification of DNA isolated from denaturing gradient gels

DNA from environmental PCR products separated by denaturing gradient gel electrophoresis (DGGE) was isolated from the background smear rather than from discrete bands of the DGGE gel. The "interband" region was considered as a potential source of less dominant members of natural microbial communities. Surprisingly, instead of detecting new bands from the re-amplified PCR products, patterns very similar to the original ones were obtained regardless of the position of the "interband" region. The results suggest that the separation of amplicons by DGGE may not be perfect and band re-amplification based sequence analyses need careful interpretation.     

红树林土壤细菌群落16S rDNA V3片段PCR产物的DGGE分析

从土壤中抽提微生物总DNA ,直接扩增 16SrDNAV3片段 ,应用变性梯度凝胶电泳 (DGGE)和分子克隆技术分析 16SrDNAV3片段的多态性 ,发现地域因素和红树品种都是影响土壤细菌群落结构的因素。通过对杯萼海桑土壤 16SrDNAV3片段PCR产物两个DGGE条带进行分子克隆、序列测定和Blast分析 ,发现每个DGGE条带包含着许多不同的 16SrDNAV3片段 ,并且其中多数为NCBI未收录的序列。这表明DGGE和克隆技术相结合的方法是研究土壤微生物群落结构的一种可行方法。     

Detection and characterization of fungal infections of Ammophila arenaria (marram grass) roots by denaturing gradient gel electrophoresis of specifically amplified 18s rDNA.

Marram grass (Ammophila arenaria L.), a sand-stabilizing plant species in coastal dune areas, is affected by a specific pathosystem thought to include both plant-pathogenic fungi and nematodes. To study the fungal component of this pathosystem, we developed a method for the cultivation-independent detection and characterization of fungi infecting plant roots based on denaturing gradient gel electrophoresis (DGGE) of specifically amplified DNA fragments coding for 18S rRNA (rDNA). A nested PCR strategy was employed to amplify a 569-bp region of the 18S rRNA gene, with the addition of a 36-bp GC clamp, from fungal isolates, from roots of test plants infected in the laboratory, and from field samples of marram grass roots from both healthy and degenerating stands from coastal dunes in The Netherlands. PCR products from fungal isolates were subjected to DGGE to examine the variation seen both between different fungal taxa and within a single species. DGGE of the 18S rDNA fragments could resolve species differences from fungi used in this study yet was unable to discriminate between strains of a single species. The 18S rRNA genes from 20 isolates of fungal species previously recovered from A. arenaria roots were cloned and partially sequenced to aid in the interpretation of DGGE data. DGGE patterns recovered from laboratory plants showed that this technique could reliably identify known plant-infecting fungi. Amplification products from field A. arenaria roots also were analyzed by DGGE, and the major bands were excised, reamplified, sequenced, and subjected to phylogenetic analysis. Some recovered 18S rDNA sequences allowed for phylogenetic placement to the genus level, whereas other sequences were not closely related to known fungal 18S rDNA sequences. The molecular data presented here reveal fungal diversity not detected in previous culture-based surveys.     

16S rDNA技术研究新生腹泻仔猪粪样细菌区系的多样性变化

用PCR/DGGE技术跟踪一窝5头新生腹泻仔猪自然康复、补饲、断奶过程中粪样细菌区系的演变,构建3头仔猪42日龄粪样的16S rDNA克隆库,分析匹配于DGGE优势谱带23个克隆的16S rDNA序列。结果表明,DGGE图谱由简单(2日龄)到复杂(10日龄),再回复简单(16日龄)到复杂(断奶),最后趋于稳定。2、16日龄DGGE图谱最简单、相似,最优势谱带为大肠杆菌;10日龄(补饲后3天)图谱复杂,大肠杆菌存在但不是最优势谱带,补饲前后图谱的相似性低,补饲导致了粪样细菌区系结构的显著变化;断奶前(27日龄)和后(35、42日龄)图谱复杂,优势谱带、图谱相似性均趋向稳定。序列分析表明,23个克隆中除5个与未知细菌最相似外,其余最相似菌分属于肠球菌(Enterococcus),链球菌(Streptococcus),梭菌(Clostridium),消化链球菌(Peptostreptococcus)和乳酸杆菌(Lactobacillus)。     

Community Dynamics of Free-living and Particle-associated Bacterial Assemblages during a Freshwater Phytoplankton Bloom

Bacterial community dynamics were followed in a 19-day period during an induced diatom bloom in two freshwater mesocosms. The main goal was to compare diversity and succession among free-living (<10 MM) AND PARTICLE-ASSOCIATED (>10 mm) bacteria. Denaturing gradient gel electrophoresis (DGGE) of PCR amplified 16S rDNA showed the highest number of bands among free-living bacteria, but with a significant phylogenetic overlap in the two size fractions indicating that free-living bacteria were also important members of the particle-associated bacterial assemblage. Whereas the number of bands in the free-living fraction decreased during the course of the bloom, several phylotypes unique to particles appeared towards the end of the experiment. Besides the primer set targeting Bacteria, a primer set targeting most members of the Cytophaga-Flavobacterium (CF)-cluster of the Cytophaga-Flavobacterium-Bacteroides group and a primer set mainly targeting a-Proteobacteria were applied. PCR-DGGE analyses revealed that a number of phylotypes targeted by those primer sets were found solely on particles. Almost all sequenced bands from the bacterial DGGE gel were related to phylogenetic groups commonly found in freshwater: a-Proteobacteria, CF, and Firmicutes. Despite the use of primers intended to be specific mainly for a-Proteobacteria most bands sequenced from the a-proteobacterial DGGE gel formed a cluster within the Verrucomicrobiales subdivision of the Verrucomicrobia division and were not related to a-Proteobacteria. Bands sequenced from the CF DGGE gel were related to members of the CF cluster. From the present study, we suggest that free-living and particle-associated bacterial communities should not be perceived as separate entities, but rather as interacting assemblages, where the extent of phylogenetic overlap is dependent on the nature of the particulate matter.     

Combining Culture-Dependent and -Independent Methodologies for Estimation of Richness of Estuarine Bacterioplankton Consuming Riverine Dissolved Organic Matter

Three different methods for analyzing natural microbial community diversity were combined to maximize an estimate of the richness of bacterioplankton catabolizing riverine dissolved organic matter (RDOM). We also evaluated the ability of culture-dependent quantitative DNA-DNA hybridization, a 16S rRNA gene clone library, and denaturing gradient gel electrophoresis (DGGE) to detect bacterial taxa in the same sample. Forty-two different cultivatable strains were isolated from rich and poor solid media. In addition, 50 unique clones were obtained by cloning of the bacterial 16S rDNA gene amplified by PCR from the community DNA into an Escherichia coli vector. Twenty-three unique bands were sequenced from 12 DGGE profiles, excluding a composite fuzzy band of the Cytophaga-Flavobacterium group. The different methods gave similar distributions of taxa at the genus level and higher. However, the match at the species level among the methods was poor, and only one species was identified by all three methods. Consequently, all three methods identified unique subsets of bacterial species, amounting to a total richness of 97 operational taxonomic units in the experimental system. The confidence in the results was, however, dependent on the current precision of the phylogenetic determination and definition of the species. Bacterial consumers of RDOM in the studied estuary were primarily both cultivatable and uncultivable taxa of the Cytophaga-Flavobacterium group, a concordant result among the methods applied. Culture-independent methods also suggested several not-yet-cultivated β-proteobacteria to be RDOM consumers.