Temporal and spatial influences incur reconfiguration of Arctic heathland soil bacterial community structure.

Microbial responses to Arctic climate change could radically alter the stability of major stores of soil carbon. However, the sensitivity of plot-scale experiments simulating climate change effects on Arctic heathland soils to potential confounding effects of spatial and temporal changes in soil microbial communities is unknown. Here, the variation in heathland soil bacterial communities at two survey sites in Sweden between spring and summer 2013 and at scales between 0-1 m and, 1-100 m and between sites (> 100 m) were investigated in parallel using 16S rRNA gene T-RFLP and amplicon sequencing. T-RFLP did not reveal spatial structuring of communities at scales < 100 m in any site or season. However, temporal changes were striking. Amplicon sequencing corroborated shifts from r- to K-selected taxon-dominated communities, influencing in silico predictions of functional potential. Network analyses reveal temporal keystone taxa, with a spring betaproteobacterial sub-network centred upon a Burkholderia operational taxonomic unit (OTU) and a reconfiguration to a summer sub-network centred upon an alphaproteobacterial OTU. Although spatial structuring effects may not confound comparison between plot-scale treatments, temporal change is a significant influence. Moreover, the prominence of two temporally exclusive keystone taxa suggests that the stability of Arctic heathland soil bacterial communities could be disproportionally influenced by seasonal perturbations affecting individual taxa.

Taxon interactions control the distributions of cryoconite bacteria colonizing a High Arctic ice cap.

Microbial colonization of glacial ice surfaces incurs feedbacks which affect the melting rate of the ice surface. Ecosystems formed as microbe-mineral aggregates termed cryoconite locally reduce ice surface albedo and represent foci of biodiversity and biogeochemical cycling. Consequently, greater understanding the ecological processes in the formation of functional cryoconite ecosystems upon glacier surfaces is sought. Here, we present the first bacterial biogeography of an ice cap, evaluating the respective roles of dispersal, environmental and biotic filtration occurring at local scales in the assembly of cryoconite microbiota. 16S rRNA gene amplicon semiconductor sequencing of cryoconite colonizing a Svalbard ice cap coupled with digital elevation modelling of physical parameters reveals the bacterial community is dominated by a ubiquitous core of generalist taxa, with evidence for a moderate pairwise distance-decay relationship. While geographic position and melt season duration are prominent among environmental predictors of community structure, the core population of taxa appears highly influential in structuring the bacterial community. Taxon co-occurrence network analysis reveals a highly modular community structured by positive interactions with bottleneck taxa, predominantly Actinobacteria affiliated to isolates from soil humus. In contrast, the filamentous cyanobacterial taxon (assigned to Leptolyngbya/Phormidesmis pristleyi) which dominates the community and binds together granular cryoconite are poorly connected to other taxa. While our study targeted one ice cap, the prominent role of generalist core taxa with close environmental relatives across the global cryosphere indicate discrete roles for cosmopolitan Actinobacteria and Cyanobacteria as respective keystone taxa and ecosystem engineers of cryoconite ecosystems colonizing ice caps.

Effects of simulated herbivory on defensive compounds in forage plants of norwegian alpine rangelands.

A field study on the effects of current grazing practices on plants in central Norway found no increase in either phenolic compounds or proteinase inhibitors in plants subjected to grazing by sheep. This could either reflect insufficient damage to the plants due to low grazing intensity or a lack of a long-term response of the plants to grazing. In this study, we tested the hypothesis that damage to forage plants used by sheep and rodents in Norwegian alpine rangelands can stimulate a long-term (at least 2-week) increase in levels of defensive compounds. We used clipping experiments to manipulate the severity and timing of damage to eight species of common plants used by herbivores in Norway. Under greenhouse conditions (i.e., climate-controlled), we subjected mature plants to one of four clipping treatments: control (0% leaf tissue removed), low (10-15% leaf tissue removed), high (70-75% leaf tissue removed), or sustained (15% of leaf tissue removed every other day up to a total removal of 75%, i.e., five clippings over 9 days). Samples were collected 2 weeks after final clipping and analyzed for concentrations of total phenolics, proteinase inhibitors, ratio of total phenolics to soluble proteins, and ratio of proteinase inhibitors to soluble plant proteins. As expected, the different species of plants responded differently to simulated herbivory, but most plants either showed no response to mechanical wounding and tissue loss or had reduced defensive compounds. Thus, our results do not support the hypothesis that herbivory induces a long-term increase in defensive compounds in alpine rangelands of Norway, a result consistent with those from field studies.

MitiGate; an online meta-analysis database for quantification of mitigation strategies for enteric methane emissions.

The body of peer-reviewed papers on enteric methane mitigation strategies in ruminants is rapidly growing and allows for better estimation of the true effect of each strategy though the use of meta-analysis methods. Here we present the development of an online database of measured methane mitigation strategies called MitiGate, currently comprising 412 papers. The database is accessible through an online user-friendly interface that allows data extraction with various levels of aggregation on one hand and data-uploading for submission to the database allowing for future refinement and updates of mitigation estimates as well as providing easy access to relevant data for integration into modelling efforts or policy recommendations. To demonstrate and verify the usefulness of the MitiGate database those studies where methane emissions were expressed per unit of intake (293 papers resulting in 845 treatment comparisons) were used in a meta-analysis. The meta-analysis of the current database estimated the effect size of each of the mitigation strategies as well as the associated variance and measure of heterogeneity. Currently, under-representation of certain strategies, geographic regions and long term studies are the main limitations in providing an accurate quantitative estimation of the mitigation potential of each strategy under varying animal production systems. We have thus implemented the facility for researchers to upload meta-data of their peer reviewed research through a simple input form in the hope that MitiGate will grow into a fully inclusive resource for those wishing to model methane mitigation strategies in ruminants.