4 resultados para Microbial genetics
Resumo:
283 p. : graf., map.
Resumo:
9 p.
Resumo:
Coherent ecological networks (EN) composed of core areas linked by ecological corridors are being developed worldwide with the goal of promoting landscape connectivity and biodiversity conservation. However, empirical assessment of the performance of EN designs is critical to evaluate the utility of these networks to mitigate effects of habitat loss and fragmentation. Landscape genetics provides a particularly valuable framework to address the question of functional connectivity by providing a direct means to investigate the effects of landscape structure on gene flow. The goals of this study are (1) to evaluate the landscape features that drive gene flow of an EN target species (European pine marten), and (2) evaluate the optimality of a regional EN design in providing connectivity for this species within the Basque Country (North Spain). Using partial Mantel tests in a reciprocal causal modeling framework we competed 59 alternative models, including isolation by distance and the regional EN. Our analysis indicated that the regional EN was among the most supported resistance models for the pine marten, but was not the best supported model. Gene flow of pine marten in northern Spain is facilitated by natural vegetation, and is resisted by anthropogenic landcover types and roads. Our results suggest that the regional EN design being implemented in the Basque Country will effectively facilitate gene flow of forest dwelling species at regional scale.
Resumo:
Soil microbial community changes associated to conventional and organic farming of two relevant crops (Beta vulgaris and Solanum lycopersicum) were analysed through 16s rRNA amplicon sequencing. This study revealed microbial communities in the agricultural soils studied to be similar to other reported nutrient-rich microbiomes, and some significant differences between the microbial communities associated to the two farming practices were found. Some phyla (Chloroflexi and Thermi) were found to be present in different abundances according to soil treatment. As chloroplast interference can be a stumbling block in plant-associated 16s rRNA amplicon metagenomics analysis of aerial plant tissues, two protocols for bacterial cell detachment (orbital shaking and ultrasound treatment) and two protocols for microbial biomass recovery (centrifugation and filtration) were tested regarding their efficiency at excluding plant-DNA. An alternative method to the one proposed by Rastogi et al (2010) for evaluating the chloroplast-amplicon content in post-PCR samples was tested, and the method revealed that filtration was the most efficient protocol in minimising chloroplast interference.