Tristrom Winsley

Community fingerprinting in a sequencing world

Despite decreasing costs, generating large-scale, well-replicated and multivariate microbial ecology investigations with sequencing remains an expensive and time-consuming option. As a result, many microbial ecology investigations continue to suffer from a lack of appropriate replication. We evaluated two fingerprinting approaches - terminal restriction fragment length polymorphism (T-RFLP) and automated ribosomal intergenic spacer analysis (ARISA) against 454 pyrosequencing, by applying them to 225 polar soil samples from East Antarctica and the high Arctic. By incorporating local and global spatial scales into the dataset, our aim was to determine whether various approaches differed in their ability and hence utility, to identify ecological patterns. Through the reduction in the 454 sequencing data to the most dominant OTUs, we revealed that a surprisingly small proportion of abundant OTUs (< 0.25%) was driving the biological patterns observed. Overall, ARISA and T-RFLP had a similar capacity as sequencing to separate samples according to distance at a local scale, and to correlate environmental variables with microbial community structure. Pyrosequencing had a greater resolution at the global scale but all methods were capable of significantly differentiating the polar sites. We conclude fingerprinting remains a legitimate approach to generating large datasets as well as a cost-effective rapid method to identify samples for elucidating taxonomic information or diversity estimates with sequencing methods.

Cultivating previously uncultured soil bacteria using a soil substrate membrane system

Most bacteria are recalcitrant to traditional cultivation in the laboratory. The soil substrate membrane system provides a simulated environment for the cultivation of previously undescribed soil bacteria as microcolonies. The system uses a polycarbonate membrane as a solid support for growth and soil extract as the substrate. Diverse microcolonies can be visualized using total bacterial staining combined with fluorescence in situ hybridization (FISH) after 7–10-d incubation. Molecular typing shows that the majority of microcolony-forming bacteria recovered using this protocol were resistant to growth using standard methods. The protocol takes <4 h of bench time over the 10-d period.

Applications of flow cytometry in environmental microbiology and biotechnology

Flow cytometry (FCM) is a technique for counting, examining and sorting microscopic particles suspended in a stream of fluid. It uses the principles of light scattering, light excitation and the emission from fluorescent molecules to generate specific multiparameter data from particles and cells. The cells are hydrodynamically focussed in a sheath solution before being intercepted by a focused light source provided by a laser. FCM has been used primarily in medical applications but is being used increasingly for the examination of individual cells from environmental samples. It has found uses in the isolation of both culturable and hitherto non-culturable bacteria present infrequently in environmental samples using appropriate growth conditions. FCM lends itself to high-throughput applications in directed evolution for the analysis of single cells or cell populations carrying mutant genes. It is also suitable for encapsulation studies where individual bacteria are compartmentalised with substrate in water-in-oil-in-water emulsions or with individual genes in transcriptional/translational mixtures for the production of mutant enzymes. The sensitivity of the technique has allowed the examination of gene optimisation by a procedure known as random or neutral drift where screening and selection is based on the retention of some predetermined level of activity through multiple rounds of mutagenesis.

Capturing Greater 16S rRNA Gene Sequence Diversity within the Domain Bacteria

ABSTRACT A large proportion of “universal” 16S PCR primers lack sequence homology to many of the “candidate” divisions, severely limiting bacterial diversity assessments. We designed a primer set that offers a 50% increase in silico in coverage of the domain Bacteria over the commonly used primer combination 27F/519R. Comparisons using pyrosequencing on soil environments showed a significant increase in recovery of taxonomic diversity with around a 3-fold increase in recovery of sequences from candidate divisions.

Smooth brome invasion increases rare soil bacterial species prevalence, bacterial species richness and evenness

Summary Plant and soil communities are tightly linked, but the mechanisms by which the invasion of an exotic plant and the resulting shifts in plant diversity and productivity influence soil bacterial community structure remain poorly understood. We investigated the effects of invasive smooth brome (Bromus inermis) on grassland soil bacterial community structure using massively parallel sequencing of the 16S rRNA gene to determine bacterial community richness, evenness, composition and beta diversity (UniFrac indices) of soils collected along a gradient of smooth brome abundance. We evaluated several hypotheses including: (a) that the declines in native plant diversity associated with smooth brome invasion would cause declines in bacterial community diversity and (b) that mechanisms driving smooth brome effects on bacterial community structure involved altered soil edaphic properties rather than preferential invasion in areas of high soil nitrogen and distinct soil microbial communities. Smooth brome invasion led to increased soil nitrogen, soil carbon and root biomass. Bacterial evenness and bacterial richness increased with increasing smooth brome cover, while bacterial beta diversity declined. We found no evidence of a dominant direct link between the alteration of soil edaphic properties by brome and the changes in the soil bacterial community. Rather, the main controls on the soil bacterial community were direct effects of pH and smooth brome that could not be linked to the edaphic changes. The most important effect of brome on the bacterial community was the selective suppression of dominant bacterial species, which allowed rarer bacteria to increase in relative abundance. Synthesis. Here, we show that plant community composition influences bacterial community structure at a very fine scale, but that these changes are not due to altered soil total nitrogen or carbon content. The dominant direct effect of smooth brome invasion on soil communities suggests non-edaphic, that is inter- and intratrophic, interactions among smooth brome and non-bacterial components of the soil ecosystem are key drivers of soil community structure.

Bacterial Targets as Potential Indicators of Diesel Fuel Toxicity in Subantarctic Soils

ABSTRACT Appropriate remediation targets or universal guidelines for polar regions do not currently exist, and a comprehensive understanding of the effects of diesel fuel on the natural microbial populations in polar and subpolar soils is lacking. Our aim was to investigate the response of the bacterial community to diesel fuel and to evaluate if these responses have the potential to be used as indicators of soil toxicity thresholds. We set up short- and long-exposure tests across a soil organic carbon gradient. Utilizing broad and targeted community indices, as well as functional genes involved in the nitrogen cycle, we investigated the bacterial community structure and its potential functioning in response to special Antarctic blend (SAB) diesel fuel. We found the primary effect of diesel fuel toxicity was a reduction in species richness, evenness, and phylogenetic diversity, with the resulting community heavily dominated by a few species, principally Pseudomonas. The decline in richness and phylogenetic diversity was linked to disruption of the nitrogen cycle, with species and functional genes involved in nitrification significantly reduced. Of the 11 targets we evaluated, we found the bacterial amoA gene indicative of potential ammonium oxidation, the most suitable indicator of toxicity. Dose-response modeling for this target generated an average effective concentration responsible for 20% change (EC20) of 155 mg kg−1, which is consistent with previous Macquarie Island ecotoxicology assays. Unlike traditional single-species tolerance testing, bacterial targets allowed us to simultaneously evaluate more than 1,700 species from 39 phyla, inclusive of rare, sensitive, and functionally relevant portions of the community.

Archaea and bacteria mediate the effects of native species root loss on fungi during plant invasion

Although invasive plants can drive ecosystem change, little is known about the directional nature of belowground interactions between invasive plants, native roots, bacteria, archaea and fungi. We used detailed bioinformatics and a recently developed root assay on soils collected in fescue grassland along a gradient of smooth brome (Bromus inermis Leyss) invasion to examine the links between smooth brome shoot litter and root, archaea, bacteria and fungal communities. We examined (1) aboveground versus belowground influences of smooth brome on soil microbial communities, (2) the importance of direct versus microbe-mediated impacts of plants on soil fungal communities, and (3) the web of roots, shoots, archaea, bacteria and fungi interactions across the A and B soil horizons in invaded and non-invaded sites. Archaea and bacteria influenced fungal composition, but not vice versa, as indicated by redundancy analyses. Co-inertia analyses suggested that bacterial–fungal variance was driven primarily by 12 bacterial operational taxonomic units (OTUs). Brome increased bacterial diversity via smooth brome litter in the A horizon and roots in the B horizon, which then reduced fungal diversity. Archaea increased abundance of several bacterial OTUs, and the key bacterial OTUs mediated changes in the fungi’s response to invasion. Overall, native root diversity loss and bacterial mediation were more important drivers of fungal composition than were the direct effects of increases in smooth brome. Critically, native plant species displacement and root loss appeared to be the most important driver of fungal composition during invasion. This causal web likely gives rise to the plant–fungi feedbacks, which are an essential factor determining plant diversity in invaded grassland ecosystems.

Geological connectivity drives microbial community structure and connectivity in polar, terrestrial ecosystems

Landscape heterogeneity impacts community assembly in animals and plants, but it is not clear if this ecological concept extends to microbes. To examine this question, we chose to investigate polar soil environments from the Antarctic and Arctic, where microbes often form the major component of biomass. We examined soil environments that ranged in connectivity from relatively well-connected slopes to patchy, fragmented landforms that comprised isolated frost boils. We found landscape connectedness to have a significant correlation with microbial community structure and connectivity, as measured by co-occurrence networks. Soils from within fragmented landforms appeared to exhibit less local environmental heterogeneity, harboured more similar communities, but fewer biological associations than connected landforms. This effect was observed at both poles, despite the geographical distances and ecological differences between them. We suggest that microbial communities inhabiting well-connected landscape elements respond consistently to regional-scale gradients in biotic and edaphic factors. Conversely, the repeated freeze thaw cycles that characterize fragmented landscapes create barriers within the landscape and act to homogenize the soil environment within individual frost boils and consequently the microbial communities. We propose that lower microbial connectivity in the fragmented landforms is a function of smaller patch size and continual disturbances following soil mixing.

Application of a Bayesian nonparametric model to derive toxicity estimates based on the response of Antarctic microbial communities to fuel-contaminated soil.

Ecotoxicology is primarily concerned with predicting the effects of toxic substances on the biological components of the ecosystem. In remote, high latitude environments such as Antarctica, where field work is logistically difficult and expensive, and where access to adequate numbers of soil invertebrates is limited and response times of biota are slow, appropriate modeling tools using microbial community responses can be valuable as an alternative to traditional single-species toxicity tests. In this study, we apply a Bayesian nonparametric model to a soil microbial data set acquired across a hydrocarbon contamination gradient at the site of a fuel spill in Antarctica. We model community change in terms of OTUs (operational taxonomic units) in response to a range of total petroleum hydrocarbon (TPH) concentrations. The Shannon diversity of the microbial community, clustering of OTUs into groups with similar behavior with respect to TPH, and effective concentration values at level x, which represent the TPH concentration that causes x% change in the community, are presented. This model is broadly applicable to other complex data sets with similar data structure and inferential requirements on the response of communities to environmental parameters and stressors.

Flow cytometry in environmental microbiology: a rapid approach for the isolation of single cells for advanced molecular biology analysis.

The isolation and subsequent characterization of microbial cells from within environmental samples is a difficult process. Flow cytometry and cell sorting, when combined with the application of fluorescent probes, have the capability for the detection and separation of diverse microbial populations from within complex mixtures. The isolation of single cells allows for downstream investigations towards system-level characterization of unknown Bacterial Phyla to occur. We describe here the combination of fluorescent in situ hybridization and cell sorting for the detection and isolation of Candidate Division TM7 bacteria from an enriched soil sample. The result is the isolation of rare cells suitable for advanced molecular analysis including whole genome amplification and high-throughput pyrosequencing.