Differential degradation of polycyclic aromatic hydrocarbon mixtures by indigenous microbial assemblages in soil.

UNLABELLED: Environmental contamination by polycyclic aromatic hydrocarbons (PAHs) typically occurs as mixtures of compounds. In this study, the response of indigenous soil bacterial and fungal communities to mixtures containing phenanthrene, fluoranthene and benzo(a)pyrene in various combinations was examined using molecular fingerprinting techniques and quantification of a key PAH degradative gene. Results were compared to a parallel study by Sawulski et al. (2014) which examined the effect of these PAHs on soil microbial communities when added as single contaminants. The rate of degradation of individual PAHs varied depending on whether the PAH was present as a single contaminant or in a mixture; phenanthrene was degraded most rapidly when present as a sole contaminant, fluoranthene was removed faster in the presence of the lower molecular weight phenanthrene and the rate of benzo(a)pyrene degradation was reduced in the presence of the 4-ring PAH, fluoranthene. Bacterial and fungal assemblages differed significantly between treatments regardless of which PAH was added to soil. Although less abundant than the Gram-negative PAH-RHDα gene, the gene associated with Gram-positive bacteria responded to a greater extent to the presence of PAHs, either as single compounds or as mixtures and this increase was significantly correlated with PAH degradation. SIGNIFICANCE AND IMPACT OF THE STUDY: Contaminated sites generally contain complex mixtures of pollutants. Development of effective bioremediation strategies for contaminated soils requires knowledge of the response of soil microbial communities to such mixtures. This study provides information on the degradation of different mixtures of three priority pollutants in soil with a history of polycyclic aromatic hydrocarbon contamination and examines the response of soil bacterial and fungal communities to the presence of these pollutants as sole contaminants or as part of a mixture. This is one of few studies to-date to compare the effects of single compounds and pollutant mixtures on more than one soil microbial community.

Responses of anaerobic rumen fungal diversity (phylum Neocallimastigomycota) to changes in bovine diet.

AIMS: Anaerobic rumen fungi (Neocallimastigales) play important roles in the breakdown of complex, cellulose-rich material. Subsequent decomposition products are utilized by other microbes, including methanogens. The aim of this study was to determine the effects of dietary changes on anaerobic rumen fungi diversity. METHODS AND RESULTS: Altered diets through increasing concentrate/forage (50 : 50 vs 90 : 10) ratios and/or the addition of 6% soya oil were offered to steers and the Neocallimastigales community was assessed by PCR-based fingerprinting with specific primers within the barcode region. Both a decrease in fibre content and the addition of 6% soya oil affected Neocallimastigales diversity within solid and liquid rumen phases. The addition of 6% soya oil decreased species richness. Assemblages were strongly affected by the addition of 6% soya oil, whereas unexpectedly, the fibre decrease had less effect. Differences in volatile fatty acid contents (acetate, propionate and butyrate) were significantly associated with changes in Neocallimastigales assemblages between the treatments. CONCLUSIONS: Diet clearly influences Neocallimastigales assemblages. The data are interpreted in terms of interactions with other microbial groups involved in fermentation processes within the rumen. SIGNIFICANCE AND IMPACT OF THE STUDY: Knowledge on the influence of diet on anaerobic fungi is necessary to understand changes in microbial processes occurring within the rumen as this may impact on other rumen processes such as methane production.

The effect of dietary concentrate and soya oil inclusion on microbial diversity in the rumen of cattle.

AIMS: Methane emissions from ruminants are a significant contributor to global greenhouse gas production. The aim of this study was to examine the effect of diet on microbial communities in the rumen of steers. METHODS AND RESULTS: The effects of dietary alteration (50 : 50 vs 90 : 10 concentrate-forage ratio, and inclusion of soya oil) on methanogenic and bacterial communities in the rumen of steers were examined using molecular fingerprinting techniques (T-RFLP and automated ribosomal intergenic spacer analysis) and real-time PCR. Bacterial diversity was greatly affected by diet, whereas methanogen diversity was not. However, methanogen abundance was significantly reduced (P = 0.009) in high concentrate-forage diets and in the presence of soya oil (6%). In a parallel study, reduced methane emissions were observed with these diets. CONCLUSIONS: The greater effect of dietary alteration on bacterial community in the rumen compared with the methanogen community may reflect the impact of substrate availability on the rumen bacterial community. This resulted in altered rumen volatile fatty acid profiles and had a downstream effect on methanogen abundance, but not diversity. SIGNIFICANCE AND IMPACT OF THE STUDY: Understanding how rumen microbial communities contribute to methane production and how these microbes are influenced by diet is essential for the rational design of methane mitigation strategies from livestock.

Incorporating the effects of spatial structure in discrete choice models of migration.

Discrete-choice theory and logit models are evaluated for their usefulness in analyzing migration patterns in a zonal system. The authors "argue that spatial effects and more specifically the relative location of zones are not taken into account in such analyses. We, therefore, introduce a measure of spatial structure and advocate its usage as a predictor of migration in such models. In an example of intrametropolitan migration in Toronto [Canada], we demonstrate that this variable is not only significant but also it improves the performance of all the other variables with the greatest impact on the distance between zones. In addition, inclusion of this variable improves the overall performance of the model in terms of residuals."

Population density, crowding and human behaviour.

PIP: The author reviews the existing literature on density and crowding from a geographical perspective, with a focus on the concerns of urban geographers. Several types of empirical studies are described and reviewed, and research on models of crowding is outlined^ieng