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Articles by Josh D. Neufeld in JoVE

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DNA-איזוטופ יציב גשוש (ה-DNA SIP)


JoVE 2027 8/02/2010

Department of Biology, University of Waterloo

DNA-איזוטופ יציב חיטוט היא שיטת טיפוח עצמאית לזהות ולאפיין הקהילות פעיל של מיקרואורגניזמים המסוגלים ניצול מצעים ספציפיים. הטמעת מצע מועשר באיזוטופ הכבד מוביל התאגדות של אטומים שכותרתו לתוך ביומסה של חיידקים. שיפוע ultracentrifugation צפיפות מאחזר DNA שכותרתו עבור ניתוחים מולקולריים במורד הזרם.

Other articles by Josh D. Neufeld on PubMed

Serial Analysis of Ribosomal Sequence Tags (SARST): a High-throughput Method for Profiling Complex Microbial Communities

Two decades of culture-independent studies have confirmed that microbial communities represent the most complex and concentrated pool of phylogenetic diversity on the planet. There remains a need for innovative molecular tools that can further our knowledge of microbial diversity and its functional implications. We present the method and application of serial analysis of ribosomal sequence tags (SARST) as a novel tool for elucidating complex microbial communities, such as those found in soils and sediments. Serial analysis of ribosomal sequence tags uses a series of enzymatic reactions to amplify and ligate ribosomal sequence tags (RSTs) from bacterial small subunit rRNA gene (SSU rDNA) V1-regions into concatemers that are cloned and sequenced. This approach offers a significant increase in throughput over traditional SSU rDNA clone libraries, as up to 20 RSTs are obtained from each sequencing reaction. To test SARST and measure the bias associated with this approach, RST libraries were prepared from a defined mixture of pure cultures and from duplicate arctic soil DNA samples. The actual RST distribution reflected the theoretical composition of the original defined mixture. Data from duplicate soil libraries (1345 and 1217 RSTs, with 525 and 505 unique RSTs, respectively) indicated that replication provides a strongly correlated RST profile (r(2) = 0.80) and division-level distribution of RSTs (r(2) = 0.99). Using sequence data from abundant soil RSTs, we designed specific primers that successfully amplified a larger portion of the SSU rDNA for further phylogenetic analysis. These results suggest that SARST is a powerful approach for reproducible high-throughput profiling of microbial diversity amenable to medical, industrial or environmental microbiology applications.

Fluorophore-labeled Primers Improve the Sensitivity, Versatility, and Normalization of Denaturing Gradient Gel Electrophoresis

Denaturing gradient gel electrophoresis (DGGE) is widely used in microbial ecology. We tested the effect of fluorophore-labeled primers on DGGE band migration, sensitivity, and normalization. The fluorophores Cy5 and Cy3 did not visibly alter DGGE fingerprints; however, 6-carboxyfluorescein retarded band migration. Fluorophore modification improved the sensitivity of DGGE fingerprint detection and facilitated normalization of samples from multiple gels by the application of intralane standards.

Unexpectedly High Bacterial Diversity in Arctic Tundra Relative to Boreal Forest Soils, Revealed by Serial Analysis of Ribosomal Sequence Tags

Arctic tundra and boreal forest soils have globally relevant functions that affect atmospheric chemistry and climate, yet the bacterial composition and diversity of these soils have received little study. Serial analysis of ribosomal sequence tags (SARST) and denaturing gradient gel electrophoresis (DGGE) were used to compare composite soil samples taken from boreal and arctic biomes. This study comprises an extensive comparison of geographically distant soil bacterial communities, involving the analysis of 12,850 ribosomal sequence tags from six composite soil samples. Bacterial diversity estimates were greater for undisturbed arctic tundra soil samples than for boreal forest soil samples, with the highest diversity associated with a sample from an extreme northern location (82(o)N). The lowest diversity estimate was obtained from an arctic soil sample that was disturbed by compaction and sampled from a greater depth. Since samples from the two biomes did not form distinct clusters on the basis of SARST data and DGGE fingerprints, factors other than latitude likely influenced the phylogenetic compositions of these communities. The high number of ribosomal sequences analyzed enabled the identification of possible cosmopolitan and endemic bacterial distributions in particular soils.

Distribution and Phylogeny of Hexachlorocyclohexane-degrading Bacteria in Soils from Spain

Hexachlorocyclohexane (HCH)-degrading bacteria are believed to mediate natural attenuation of HCH contamination and have potential for active bioremediation processes. This study addressed the very limited understanding of the distribution, diversity and substrate specificity of such bacteria from 13 soil samples, varying in levels of HCH contamination, from four sites in Spain. Hexachlorocyclohexane removal occurred in 16 of 36 enrichment cultures. Hexachlorocyclohexane-degrading populations were clearly associated with HCH-contaminated soils, and populations growing on the delta-HCH isomer were only found in soil contaminated with delta-HCH. beta-Hexachlorocyclohexane was persistent in enrichment cultures, and there was no evidence for populations growing on beta-HCH. From alpha- and gamma-HCH enrichment cultures, nine HCH-degrading isolates were obtained, which were all Sphingomonas spp. Attempts to isolate organisms from delta-HCH enrichment cultures failed. None of the isolates grew on HCH as a sole organic substrate in pure culture. All isolates degraded alpha- and gamma-HCH, and most degraded beta-HCH. delta-Hexachlorocyclohexane inhibited growth of most isolates, but could be degraded by cell suspensions of at least four strains. Denaturing gradient gel electrophoresis indicated that the isolates represented predominant populations in the enrichment cultures, but additional predominant populations, including some Pseudomonas spp., could not be isolated.

Composition of Microbial Communities in Hexachlorocyclohexane (HCH) Contaminated Soils from Spain Revealed with a Habitat-specific Microarray

Microarray technology was used to characterize and compare hexachlorocyclohexane (HCH) contaminated soils from Spain. A library of 2,290 hypervariable 16S rRNA gene sequences was prepared with serial analysis of ribosomal sequence tags (SARST) from a composite of contaminated and uncontaminated soils. By designing hybridization probes specific to the 100 most abundant ribosomal sequence tags (RSTs) in the composite library, the RST array was designed to be habitat-specific and predicted to monitor the most abundant polymerase chain reaction (PCR)-amplified phylotypes in the individual samples. The sensitivity and specificity of the RST array was tested with a series of pure culture-specific probes and hybridized with labelled soil PCR products to generate hybridization patterns for each soil. Sequencing of prominent bands in denaturing gradient gel electrophoresis (DGGE) fingerprints derived from these soils provided a means by which we successfully confirmed the habitat-specific array design and validated the bulk of the probe signals. Non-metric multidimensional scaling revealed correlations between probe signals and soil physicochemical parameters. Among the strongest correlations to total HCH contamination were probe signals corresponding to unknown Gamma Proteobacteria, potential pollutant-degrading phylotypes, and several organisms with acid-tolerant phenotypes. The strongest correlations to alpha-HCH were probe signals corresponding to the genus Sphingomonas, which contains known HCH degraders. This suggests that the population detected was enriched in situ by HCH contamination and may play a role in HCH degradation. Other environmental parameters were also likely instrumental in shaping community composition in these soils. The results highlight the power of habitat-specific microarrays for comparing complex microbial communities.

Methodological Considerations for the Use of Stable Isotope Probing in Microbial Ecology

Stable isotope probing (SIP) is a method used for labeling uncultivated microorganisms in environmental samples or directly in field studies using substrate enriched with stable isotope (e.g., (13)C). After consumption of the substrate, the cells of microorganisms that consumed the substrate become enriched in the isotope. Labeled biomarkers, such as phospholipid-derived fatty acid (PLFA), ribosomal RNA, and DNA can be analyzed with a range of molecular and analytical techniques, and used to identify and characterize the organisms that incorporated the substrate. The advantages and disadvantages of PLFA-SIP, RNA-SIP, and DNA-SIP are presented. Using examples from our laboratory and from the literature, we discuss important methodological considerations for a successful SIP experiment.

DNA Stable-isotope Probing

Stable-isotope probing is a method used in microbial ecology that provides a means by which specific functional groups of organisms that incorporate particular substrates are identified without the prerequisite of cultivation. Stable-isotope-labeled carbon (13C) or nitrogen (15N) sources are assimilated into microbial biomass of environmental samples. Separation and molecular analysis of labeled nucleic acids (DNA or RNA) reveals phylogenetic and functional information about the microorganisms responsible for the metabolism of a particular substrate. Here, we highlight general guidelines for incubating environmental samples with labeled substrate and provide a detailed protocol for separating labeled DNA from unlabeled community DNA. The protocol includes a modification of existing published methods, which maximizes the recovery of labeled DNA from CsCl gradients. The separation of DNA and retrieval of unlabeled and labeled fractions can be performed in 4-5 days, with much of the time being committed to the ultracentrifugation step.

Who Eats What, Where and When? Isotope-labelling Experiments Are Coming of Age

Isotope-labelling experiments have changed the way microbial ecologists investigate the ecophysiology of microbial populations and cells in the environment. Insight into the 'uncultivated majority' accompanies methodology that involves the incorporation of stable isotopes or radioisotopes into sub-populations of environmental samples. Subsequent analysis of labelled biomarkers of sub-populations with stable-isotope probing (DNA-SIP, RNA-SIP, phospholipid-derived fatty acid-SIP) or individual cells with a combination of fluorescence in situ hybridization and microautoradiography reveals linked phylogenetic and functional information about the organisms that assimilated these compounds. Here, we review some of the most recent literature, with an emphasis on methodological improvements to the sensitivity and utility of these methods. We also highlight related isotope techniques that are in continued development and hold promise to transform the way we link phylogeny and function in complex microbial communities.

Stable-isotope Probing Implicates Methylophaga Spp and Novel Gammaproteobacteria in Marine Methanol and Methylamine Metabolism

The metabolism of one-carbon (C(1)) compounds in the marine environment affects global warming, seawater ecology and atmospheric chemistry. Despite their global significance, marine microorganisms that consume C(1) compounds in situ remain poorly characterized. Stable-isotope probing (SIP) is an ideal tool for linking the function and phylogeny of methylotrophic organisms by the metabolism and incorporation of stable-isotope-labelled substrates into nucleic acids. By combining DNA-SIP and time-series sampling, we characterized the organisms involved in the assimilation of methanol and methylamine in coastal sea water (Plymouth, UK). Labelled nucleic acids were analysed by denaturing gradient gel electrophoresis (DGGE) and clone libraries of 16S rRNA genes. In addition, we characterized the functional gene complement of labelled nucleic acids with an improved primer set targeting methanol dehydrogenase (mxaF) and newly designed primers for methylamine dehydrogenase (mauA). Predominant DGGE phylotypes, 16S rRNA, methanol and methylamine dehydrogenase gene sequences, and cultured isolates all implicated Methylophaga spp, moderately halophilic marine methylotrophs, in the consumption of both methanol and methylamine. Additionally, an mxaF sequence obtained from DNA extracted from sea water clustered with those detected in (13)C-DNA, suggesting a predominance of Methylophaga spp among marine methylotrophs. Unexpectedly, most predominant 16S rRNA and functional gene sequences from (13)C-DNA were clustered in distinct substrate-specific clades, with 16S rRNA genes clustering with sequences from the Gammaproteobacteria. These clades have no cultured representatives and reveal an ecological adaptation of particular uncultured methylotrophs to specific C(1) compounds in the coastal marine environment.

Handlebar: a Flexible, Web-based Inventory Manager for Handling Barcoded Samples

Witnessing the Last Supper of Uncultivated Microbial Cells with Raman-FISH

Something from (almost) Nothing: the Impact of Multiple Displacement Amplification on Microbial Ecology

Microbial ecology is a field that applies molecular techniques to analyze genes and communities associated with a plethora of unique environments on this planet. In the past, low biomass and the predominance of a few abundant community members have impeded the application of techniques such as PCR, microarray analysis and metagenomics to complex microbial populations. In the absence of suitable cultivation methods, it was not possible to obtain DNA samples from individual microorganisms. Recently, a method called multiple displacement amplification (MDA) has been used to circumvent these limitations by amplifying DNA from microbial communities in low-biomass environments, individual cells from uncultivated microbial species and active organisms obtained through stable isotope probing incubations. This review describes the development and applications of MDA, discusses its strengths and limitations and highlights the impact of MDA on the field of microbial ecology. Whole genome amplification via MDA has increased access to the genomic DNA of uncultivated microorganisms and low-biomass environments and represents a 'power tool' in the molecular toolbox of microbial ecologists.

Scratching the Surface of the Rare Biosphere with Ribosomal Sequence Tag Primers

Increasingly large datasets of 16S rRNA gene sequences reveal new information about the extent of microbial diversity and the surprising extent of the rare biosphere. Currently, many of the largest datasets are represented by short and variable ribosomal sequence tags (RSTs) that are limited in their ability to accurately assign sequences to broad-scale phylogenetic trees. In this study, we selected 30 rare RSTs from existing sequence datasets and designed primers to amplify c. 1400 bases of the 16S rRNA gene to determine whether these sequences were represented by existing databases or if they might reveal new lineages within the Bacteria. Approximately one-third of the RST primers successfully amplified longer portions of these low-abundance 16S rRNA genes in a specific manner. Subsequent phylogenetic analysis demonstrated that most of these sequences were (1) distantly related to existing cultivated microorganisms and (2) closely related to uncultivated clone sequences that were recently deposited in GenBank. The presence of so many recently collected 16S rRNA gene reference sequences in existing databases suggests that progress is being made quickly towards a microbial census, one which has begun scratching the surface of the 'rare biosphere'.

Revealing the Uncultivated Majority: Combining DNA Stable-isotope Probing, Multiple Displacement Amplification and Metagenomic Analyses of Uncultivated Methylocystis in Acidic Peatlands

Peatlands represent an enormous carbon reservoir and have a potential impact on the global climate because of the active methanogenesis and methanotrophy in these soils. Uncultivated methanotrophs from seven European peatlands were studied using a combination of molecular methods. Screening for methanotroph diversity using a particulate methane monooxygenase-based diagnostic gene array revealed that Methylocystis-related species were dominant in six of the seven peatlands studied. The abundance and methane oxidation activity of Methylocystis spp. were further confirmed by DNA stable-isotope probing analysis of a sample taken from the Moor House peatland (England). After ultracentrifugation, (13)C-labelled DNA, containing genomic DNA of these Methylocystis spp., was separated from (12)C DNA and subjected to multiple displacement amplification (MDA) to generate sufficient DNA for the preparation of a fosmid metagenomic library. Potential bias of MDA was detected by fingerprint analysis of 16S rRNA using denaturing gradient gel electrophoresis for low-template amplification (0.01 ng template). Sufficient template (1-5 ng) was used in MDA to circumvent this bias and chimeric artefacts were minimized by using an enzymatic treatment of MDA-generated DNA with S1 nuclease and DNA polymerase I. Screening of the metagenomic library revealed one fosmid containing methanol dehydrogenase and two fosmids containing 16S rRNA genes from these Methylocystis-related species as well as one fosmid containing a 16S rRNA gene related to that of Methylocella/Methylocapsa. Sequencing of the 14 kb methanol dehydrogenase-containing fosmid allowed the assembly of a gene cluster encoding polypeptides involved in bacterial methanol utilization (mxaFJGIRSAC). This combination of DNA stable-isotope probing, MDA and metagenomics provided access to genomic information of a relatively large DNA fragment of these thus far uncultivated, predominant and active methanotrophs in peatland soil.

Methane Assimilation and Trophic Interactions with Marine Methylomicrobium in Deep-water Coral Reef Sediment off the Coast of Norway

Deep-water coral reefs are seafloor environments with diverse biological communities surrounded by cold permanent darkness. Sources of energy and carbon for the nourishment of these reefs are presently unclear. We investigated one aspect of the food web using DNA stable-isotope probing (DNA-SIP). Sediment from beneath a Lophelia pertusa reef off the coast of Norway was incubated until assimilation of 5 micromol 13CH4 g(-1) wet weight occurred. Extracted DNA was separated into 'light' and 'heavy' fractions for analysis of labelling. Bacterial community fingerprinting of PCR-amplified 16S rRNA gene fragments revealed two predominant 13C-specific bands. Sequencing of these bands indicated that carbon from 13CH4 had been assimilated by a Methylomicrobium and an uncultivated member of the Gammaproteobacteria. Cloning and sequencing of 16S rRNA genes from the heavy DNA, in addition to genes encoding particulate methane monooxygenase and methanol dehydrogenase, all linked Methylomicrobium with methane metabolism. Putative cross-feeders were affiliated with Methylophaga (Gammaproteobacteria), Hyphomicrobium (Alphaproteobacteria) and previously unrecognized methylotrophs of the Gammaproteobacteria, Alphaproteobacteria, Deferribacteres and Bacteroidetes. This first marine methane SIP study provides evidence for the presence of methylotrophs that participate in sediment food webs associated with deep-water coral reefs.

Substrate-specific Clades of Active Marine Methylotrophs Associated with a Phytoplankton Bloom in a Temperate Coastal Environment

Marine microorganisms that consume one-carbon (C(1)) compounds are poorly described, despite their impact on global climate via an influence on aquatic and atmospheric chemistry. This study investigated marine bacterial communities involved in the metabolism of C(1) compounds. These communities were of relevance to surface seawater and atmospheric chemistry in the context of a bloom that was dominated by phytoplankton known to produce dimethylsulfoniopropionate. In addition to using 16S rRNA gene fingerprinting and clone libraries to characterize samples taken from a bloom transect in July 2006, seawater samples from the phytoplankton bloom were incubated with (13)C-labeled methanol, monomethylamine, dimethylamine, methyl bromide, and dimethyl sulfide to identify microbial populations involved in the turnover of C(1) compounds, using DNA stable isotope probing. The [(13)C]DNA samples from a single time point were characterized and compared using denaturing gradient gel electrophoresis (DGGE), fingerprint cluster analysis, and 16S rRNA gene clone library analysis. Bacterial community DGGE fingerprints from (13)C-labeled DNA were distinct from those obtained with the DNA of the nonlabeled community DNA and suggested some overlap in substrate utilization between active methylotroph populations growing on different C(1) substrates. Active methylotrophs were affiliated with Methylophaga spp. and several clades of undescribed Gammaproteobacteria that utilized methanol, methylamines (both monomethylamine and dimethylamine), and dimethyl sulfide. rRNA gene sequences corresponding to populations assimilating (13)C-labeled methyl bromide and other substrates were associated with members of the Alphaproteobacteria (e.g., the family Rhodobacteraceae), the Cytophaga-Flexibacter-Bacteroides group, and unknown taxa. This study expands the known diversity of marine methylotrophs in surface seawater and provides a comprehensive data set for focused cultivation and metagenomic analyses in the future.

Marine Methylotrophs Revealed by Stable-isotope Probing, Multiple Displacement Amplification and Metagenomics

The concentrations of one-carbon substrates that fuel methylotrophic microbial communities in the ocean are limited and the specialized guilds of bacteria that use these molecules may exist at low relative abundance. As a result, these organisms are difficult to identify and are often missed with existing cultivation and gene retrieval methods. Here, we demonstrate a novel proof of concept: using environmentally-relevant substrate concentrations in stable-isotope probing (SIP) incubations to yield sufficient DNA for large-insert metagenomic analysis through multiple displacement amplification (MDA). A marine surface-water sample was labelled sufficiently by incubation with near in situ concentrations of methanol. Picogram quantities of labelled (13)C-DNA were purified from caesium chloride gradients, amplified with MDA to produce microgram amounts of high-molecular-weight DNA ( 10 000 clones. Denaturing gradient gel electrophoresis (DGGE) demonstrated minimal bias associated with the MDA step and implicated Methylophaga-like phylotypes with the marine metabolism of methanol. Polymerase chain reaction screening of 1500 clones revealed a methanol dehydrogenase (MDH) containing insert and shotgun sequencing of this insert resulted in the assembly of a 9-kb fragment of DNA encoding a cluster of enzymes involved in MDH biosynthesis, regulation and assembly. This novel combination of methodology enables future structure-function studies of microbial communities to achieve the long-desired goal of identifying active microbial populations using in situ conditions and performing a directed metagenomic analysis for these ecologically relevant microorganisms.

Metagenomic Analysis of Isotopically Enriched DNA

This detailed protocol describes an approach for combining DNA stable-isotope probing-based enrichment, multiple displacement amplification (MDA), and metagenomics. Together, these three methodologies enable selective access to the genomes of uncultivated organisms that actively grow using isotopically labelled carbon and nitrogen sources. Incubations with stable-isotope-labelled substrates enrich isotopically labelled DNA from functionally relevant micro-organisms; this serves as a filter to reduce the complexity of the metagenome. The MDA step generates sufficient DNA from labelled nucleic acid for metagenomic library construction. Subsequently, genome fragments can be subjected to a variety of screens for phylogenetic or functional genes relevant to active community members. The MDA-generated DNA can also serve as template for direct high-throughput sequencing to aid reconstruction of metabolic pathways of those active organisms. Recent proof-of-concept studies have demonstrated that this novel combination of molecular methods can offer substantial enhancements to gene detection frequencies and may have great future potential for the discovery of novel genes, enzymes, and metabolic pathways.

Generation of Multimillion-sequence 16S RRNA Gene Libraries from Complex Microbial Communities by Assembling Paired-end Illumina Reads

Microbial communities host unparalleled taxonomic diversity. Adequate characterization of environmental and host-associated samples remains a challenge for microbiologists, despite the advent of 16S rRNA gene sequencing. In order to increase the depth of sampling for diverse bacterial communities, we developed a method for sequencing and assembling millions of paired-end reads from the 16S rRNA gene (spanning the V3 region; ∼200 nucleotides) by using an Illumina genome analyzer. To confirm reproducibility and to identify a suitable computational pipeline for data analysis, sequence libraries were prepared in duplicate for both a defined mixture of DNAs from known cultured bacterial isolates (>1 million postassembly sequences) and an Arctic tundra soil sample (>6 million postassembly sequences). The Illumina 16S rRNA gene libraries represent a substantial increase in number of sequences over all extant next-generation sequencing approaches (e.g., 454 pyrosequencing), while the assembly of paired-end 125-base reads offers a methodological advantage by incorporating an initial quality control step for each 16S rRNA gene sequence. This method incorporates indexed primers to enable the characterization of multiple microbial communities in a single flow cell lane, may be modified readily to target other variable regions or genes, and demonstrates unprecedented and economical access to DNAs from organisms that exist at low relative abundances.

Minimum Information About a Marker Gene Sequence (MIMARKS) and Minimum Information About Any (x) Sequence (MIxS) Specifications

Here we present a standard developed by the Genomic Standards Consortium (GSC) for reporting marker gene sequences--the minimum information about a marker gene sequence (MIMARKS). We also introduce a system for describing the environment from which a biological sample originates. The 'environmental packages' apply to any genome sequence of known origin and can be used in combination with MIMARKS and other GSC checklists. Finally, to establish a unified standard for describing sequence data and to provide a single point of entry for the scientific community to access and learn about GSC checklists, we present the minimum information about any (x) sequence (MIxS). Adoption of MIxS will enhance our ability to analyze natural genetic diversity documented by massive DNA sequencing efforts from myriad ecosystems in our ever-changing biosphere.

Active Autotrophic Ammonia-oxidizing Bacteria in Biofilm Enrichments from Simulated Creek Ecosystems at Two Ammonium Concentrations Respond to Temperature Manipulation

The first step of nitrification, the oxidation of ammonia to nitrite, is important for reducing eutrophication in freshwater environments when coupled with anammox (anaerobic ammonium oxidation) or denitrification. We analyzed active formerly biofilm-associated aerobic ammonia-oxidizing communities originating from Ammerbach (AS) and Leutra South (LS) stream water (683 ± 550 [mean ± standard deviation] and 16 ± 7 μM NH(4)(+), respectively) that were developed in a flow-channel experiment and incubated under three temperature regimens. By stable-isotope probing using (13)CO(2), we found that members of the Bacteria and not Archaea were the functionally dominant autotrophic ammonia oxidizers at all temperatures under relatively high ammonium loads. The copy numbers of bacterial amoA genes in (13)C-labeled DNA were lower at 30°C than at 13°C in both stream enrichment cultures. However, the community composition of the ammonia-oxidizing bacteria (AOB) in the (13)C-labeled DNA responded differently to temperature manipulation at two ammonium concentrations. In LS enrichments incubated at the in situ temperature (13°C), Nitrosomonas oligotropha-like sequences were retrieved with sequences from Nitrosospira AmoA cluster 4, while the proportion of Nitrosospira sequences increased at higher temperatures. In AS enrichments incubated at 13°C and 20°C, AmoA cluster 4 sequences were dominant; Nitrosomonas nitrosa-like sequences dominated at 30°C. Biofilm-associated AOB communities were affected differentially by temperature at two relatively high ammonium concentrations, implicating them in a potential role in governing contaminated freshwater AOB distributions.

Butyric Acid- and Dimethyl Disulfide-assimilating Microorganisms in a Biofilter Treating Air Emissions from a Livestock Facility

Biofiltration has proven an efficient tool for the elimination of volatile organic compounds (VOCs) and ammonia from livestock facilities, thereby reducing nuisance odors and ammonia emissions to the local environment. The active microbial communities comprising these filter biofilms have not been well characterized. In this study, a trickle biofilter treating air from a pig facility was investigated and proved efficient in removing carboxylic acids (>70% reduction), mainly attributed to the primary filter section within which reduced organic sulfur compounds were also depleted (up to 50%). The secondary filter eliminated several aromatic compounds: phenol (81%), p-cresol (89%), 4-ethylphenol (68%), indole (48%), and skatole (69%). The active butyric acid degrading bacterial community of an air filter sample was identified by DNA stable-isotope probing (DNA-SIP) and microautoradiography, combined with fluorescence in situ hybridization (MAR-FISH). The predominant 16S rRNA gene sequences from a clone library derived from "heavy" DNA from [(13)C(4)]butyric acid incubations were Microbacterium, Gordonia, Dietzia, Rhodococcus, Propionibacterium, and Janibacter, all from the Actinobacteria. Actinobacteria were confirmed and quantified by MAR-FISH as being the major bacterial phylum assimilating butyric acid along with several Burkholderiales-related Betaproteobacteria. The active bacterial community assimilating dimethyl disulfide (DMDS) was characterized by DNA-SIP and MAR-FISH and found to be associated with the Actinobacteria, along with a few representatives of Flavobacteria and Sphingobacteria. Interestingly, ammonia-oxidizing Betaproteobacteria were also implicated in DMDS degradation, as were fungi. Thus, multiple isotope-based methods provided complementary data, enabling high-resolution identification and quantitative assessments of odor-eliminating Actinobacteria-dominated populations of these biofilter environments.

Prevalence of Anaerobic Ammonium-oxidizing Bacteria in Contaminated Groundwater

Anaerobic ammonium-oxidizing (anammox) bacteria perform an important step in the global nitrogen cycle: anaerobic oxidation of ammonium and reduction of nitrite to form dinitrogen gas (N(2)). Anammox organisms appear to be widely distributed in natural and artificial environments. However, their roles in groundwater ammonium attenuation remain unclear and only limited biomarker-based data confirmed their presence prior to this study. We used complementary molecular and isotope-based methods to assess anammox diversity and activity occurring at three ammonium-contaminated groundwater sites: quantitative PCR, denaturing gradient gel electrophoresis, sequencing of 16S rRNA genes, and (15)N-tracer incubations. Here we show that anammox performing organisms were abundant bacterial community members. Although all sites were dominated by Candidatus Brocadia-like sequences, the community at one site was particularly diverse, possessing four of five known genera of anammox bacteria. Isotope data showed that anammox produced up to 18 and 36% of N(2) at these sites. By combining molecular and isotopic results we have demonstrated the diversity, abundance, and activity of these autotrophic bacteria. Our results provide strong evidence for their important biogeochemical role in attenuating groundwater ammonium contamination.

Aquarium Nitrification Revisited: Thaumarchaeota Are the Dominant Ammonia Oxidizers in Freshwater Aquarium Biofilters

Ammonia-oxidizing archaea (AOA) outnumber ammonia-oxidizing bacteria (AOB) in many terrestrial and aquatic environments. Although nitrification is the primary function of aquarium biofilters, very few studies have investigated the microorganisms responsible for this process in aquaria. This study used quantitative real-time PCR (qPCR) to quantify the ammonia monooxygenase (amoA) and 16S rRNA genes of Bacteria and Thaumarchaeota in freshwater aquarium biofilters, in addition to assessing the diversity of AOA amoA genes by denaturing gradient gel electrophoresis (DGGE) and clone libraries. AOA were numerically dominant in 23 of 27 freshwater biofilters, and in 12 of these biofilters AOA contributed all detectable amoA genes. Eight saltwater aquaria and two commercial aquarium nitrifier supplements were included for comparison. Both thaumarchaeal and bacterial amoA genes were detected in all saltwater samples, with AOA genes outnumbering AOB genes in five of eight biofilters. Bacterial amoA genes were abundant in both supplements, but thaumarchaeal amoA and 16S rRNA genes could not be detected. For freshwater aquaria, the proportion of amoA genes from AOA relative to AOB was inversely correlated with ammonium concentration. DGGE of AOA amoA genes revealed variable diversity across samples, with nonmetric multidimensional scaling (NMDS) indicating separation of freshwater and saltwater fingerprints. Composite clone libraries of AOA amoA genes revealed distinct freshwater and saltwater clusters, as well as mixed clusters containing both freshwater and saltwater amoA gene sequences. These results reveal insight into commonplace residential biofilters and suggest that aquarium biofilters may represent valuable biofilm microcosms for future studies of AOA ecology.

Nonlinear Electrophoresis for Purification of Soil DNA for Metagenomics

Purification of microbial DNA from soil is challenging due to the co-extraction of humic acids and associated phenolic compounds that inhibit subsequent cloning, amplification or sequencing. Removal of these contaminants is critical for the success of metagenomic library construction and high-throughput sequencing of extracted DNA. Using three different composite soil samples, we compared a novel DNA purification technique using nonlinear electrophoresis on the synchronous coefficient of drag alteration (SCODA) instrument with alternate purification methods such as direct current (DC) agarose gel electrophoresis followed by gel filtration or anion exchange chromatography, Wizard DNA Clean-Up System, and the PowerSoil DNA Isolation kit. Both nonlinear and DC electrophoresis were effective at retrieving high-molecular weight DNA with high purity, suitable for construction of large-insert libraries. The PowerSoil DNA Isolation kit and the nonlinear electrophoresis had high recovery of high purity DNA suitable for sequencing purposes. All methods demonstrated high consistency in the bacterial community profiles generated from the DNA extracts. Nonlinear electrophoresis using the SCODA instrument was the ideal methodology for the preparation of soil DNA samples suitable for both high-throughput sequencing and large-insert cloning applications.

PANDAseq: PAired-eND Assembler for Illumina Sequences

ABSTRACT: BACKGROUND: Illumina paired-end reads are used to analyse microbial communities by targeting amplicons of the 16S rRNA gene. Publicly available tools are needed to assemble overlapping paired-end reads while correcting mismatches and uncalled bases; many errors could be corrected to obtain higher sequence yields using quality information. RESULTS: PANDAseq assembles paired-end reads rapidly and with the correction of most errors. Uncertain error corrections come from reads with many low-quality bases identified by upstream processing. Benchmarks were done using real error masks on simulated data, a pure source template, and a pooled template of genomic DNA from known organisms. PANDAseq assembled reads more rapidly and with reduced error incorporation compared to alternative methods. CONCLUSIONS: PANDAseq rapidly assembles sequences and scales to billions of paired-end reads. Assembly of control libraries showed a 4{50% increase in the number of assembled sequences over naive assembly with negligible loss of "good" sequence.

Omics for Understanding Microbial Functional Dynamics

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