288 research outputs found
Alkane hydroxylase genes in psychrophile genomes and the potential for cold active catalysis.
BackgroundPsychrophiles are presumed to play a large role in the catabolism of alkanes and other components of crude oil in natural low temperature environments. In this study we analyzed the functional diversity of genes for alkane hydroxylases, the enzymes responsible for converting alkanes to more labile alcohols, as found in the genomes of nineteen psychrophiles for which alkane degradation has not been reported. To identify possible mechanisms of low temperature optimization we compared putative alkane hydroxylases from these psychrophiles with homologues from nineteen taxonomically related mesophilic strains.ResultsSeven of the analyzed psychrophile genomes contained a total of 27 candidate alkane hydroxylase genes, only two of which are currently annotated as alkane hydroxylase. These candidates were mostly related to the AlkB and cytochrome p450 alkane hydroxylases, but several homologues of the LadA and AlmA enzymes, significant for their ability to degrade long-chain alkanes, were also detected. These putative alkane hydroxylases showed significant differences in primary structure from their mesophile homologues, with preferences for specific amino acids and increased flexibility on loops, bends, and α-helices.ConclusionA focused analysis on psychrophile genomes led to discovery of numerous candidate alkane hydroxylase genes not currently annotated as alkane hydroxylase. Gene products show signs of optimization to low temperature, including regions of increased flexibility and amino acid preferences typical of psychrophilic proteins. These findings are consistent with observations of microbial degradation of crude oil in cold environments and identify proteins that can be targeted in rate studies and in the design of molecular tools for low temperature bioremediation
Identification of Microbial Dark Matter in Antarctic Environments
Numerous studies have applied molecular techniques to understand the diversity, evolution, and ecological function of Antarctic bacteria and archaea. One common technique is sequencing of the 16S rRNA gene, which produces a nearly quantitative profile of community membership. However, the utility of this and similar approaches is limited by what is known about the evolution, physiology, and ecology of surveyed taxa. When representative genomes are available in public databases some of this information can be gleaned from genomic studies, and automated pipelines exist to carry out this task. Here the paprica metabolic inference pipeline was used to assess how well Antarctic microbial communities are represented by the available completed genomes. The NCBI’s Sequence Read Archive (SRA) was searched for Antarctic datasets that used one of the Illumina platforms to sequence the 16S rRNA gene. These data were quality controlled and denoised to identify unique reads, then analyzed with paprica to determine the degree of overlap with the closest phylogenetic neighbor with a completely sequenced genome. While some unique reads had perfect mapping to 16S rRNA genes from completed genomes, the mean percent overlap for all mapped reads was 86.6%. When samples were grouped by environment, some environments appeared more or less well represented by the available genomes. For the domain Bacteria, seawater was particularly poorly represented with a mean overlap of 80.2%, while for the domain Archaea glacial ice was particularly poorly represented with an overlap of only 48.0% for a single sample. These findings suggest that a considerable effort is needed to improve the representation of Antarctic microbes in genome sequence databases
Wolverine, Gulo gulo, Home Range Size and Denning Habitat in Lowland Boreal Forest in Ontario
We conducted the first radio-telemetry study of Wolverines in northwestern Ontario during the winter of 2003-2004 to determine whether home ranges and movements of Wolverines in lowland boreal forest were typical of this species in other ecosystems and to describe reproductive den sites in this habitat type. Seven Wolverines (3 M, 4 F) were radio-tagged and monitored for 31 to 269 (Mean ± SE = 153 ± 35) days using a combination of remotely monitored Argos satellite and conventional aerial telemetry. Male and female 95% minimum convex polygon (MCP) home ranges (±SE) during December to October were 2,563 (796) km2 and 428 (118) km2, respectively, for combined VHF and Argos locations. A lactating female had a 95% MCP home range of 262 km2. The den site for this female included large boulders and downed trees, similar to dens described for this species in montane ecosystems. Boulder complexes and downed trees may be critical features of wolverine dens in lowland boreal forests. Mean road densities (± SE) within 95% MCP and 50% MCP home ranges were 0.43 (0.13) and 0.33 (0.23) km/km2, respectively, and our results suggest that road densities may affect selection of home ranges by Wolverines. The Wolverine population was a resident, reproductive population. Erratum for table included
Modeling polar marine ecosystem functions guided by bacterial physiological and taxonomic traits
Heterotrophic marine bacteria utilize organic carbon for growth and biomass synthesis. Thus, their physiological variability is key to the balance between the production and consumption of organic matter and ultimately particle export in the ocean. Here we investigate a potential link between bacterial traits and ecosystem functions in the rapidly warming West Antarctic Peninsula (WAP) region based on a bacteria-oriented ecosystem model. Using a data assimilation scheme, we utilize the observations of bacterial groups with different physiological traits to constrain the group-specific bacterial ecosystem functions in the model. We then examine the association of the modeled bacterial and other key ecosystem functions with eight recurrent modes representative of different bacterial taxonomic traits. Both taxonomic and physiological traits reflect the variability in bacterial carbon demand, net primary production, and particle sinking flux. Numerical experiments under perturbed climate conditions demonstrate a potential shift from low nucleic acid bacteria to high nucleic acid bacteria-dominated communities in the coastal WAP. Our study suggests that bacterial diversity via different taxonomic and physiological traits can guide the modeling of the polar marine ecosystem functions under climate change
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Ecosystem Service Supply in the Antarctic Peninsula Region: Evaluating an Expert-Based Assessment Approach and a Novel Seascape Data Model
The Southern Ocean and coastal Antarctica provide a variety of ecosystem services with
benefits for humankind that are of regional and global importance. Despite being nearly
uninhabited, increasing exploitation of natural resources, a growing human presence, and
environmental change threaten the sustained provisioning of these services. Ecosystem
service assessments have proven as a suitable tool to understand the relevance
of ecosystems for human well-being and guide decision-making, but the fluid and
transboundary nature of marine ecosystems poses challenges to analyzing ecosystem
services in regions with large marine sections. New methods to objectively assess the
supply of ecosystem services for such realms are needed, and this need is exemplified by
the Antarctic Peninsula region which encompasses rich marine, coastal, and terrestrial
ecosystems but faces growing impacts and needs for taking action. In this study we
applied the matrix method, an expert-based approach that employs a tabular matrix of
ecosystem services and service providing units (SPUs) to elicit expert knowledge and
rate the actual supply of key ecosystems services from the Antarctic Peninsula region.
Further, we tested the applicability of this method on conventional definitions of SPUs
and on objectively defined physico-chemical seascape units for a subset of the study
region. Our results show high variations in the estimated supply of ecosystem services
for the Antarctic Peninsula region, both with respect to the applied data models and in
terms of the assessed service
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Editorial : Sea Ice: Bridging Spatial-Temporal Scales and Disciplines
Non peer reviewe
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Relate well with surface elevation [29] at Redberry Lake. This correlation reflects the increasing rate of salinity change at Redberry.<p><b>Copyright information:</b></p><p>Taken from "Chemical and physical properties of some saline lakes in Alberta and Saskatchewan"</p><p>http://www.salinesystems.org/content/4/1/3</p><p>Saline Systems 2008;4():3-3.</p><p>Published online 22 Apr 2008</p><p>PMCID:PMC2365950.</p><p></p
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