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An in vitro batch culture fermentation experiment was conducted with fecal inocula from three healthy volunteers in the presence and absence of a red wine extract. Changes in main bacterial groups were determined by FISH during a 48 h fermentation period. The catabolism of main flavonoids (i.e., flavan-3-ols and anthocyanins) and the formation of a wide a range of phenolic microbial metabolites were determined by a targeted UPLC-PAD-ESI-TQ MS method. Statistical analysis revealed that catechol/pyrocatechol, as well as 4-hydroxy-5-(phenyl)-valeric, 3- and 4-hydroxyphenylacetic, phenylacetic, phenylpropionic, and benzoic acids, showed the greatest increases in concentration during fermentation, whereas 5-(3'-hydroxyphenyl)-γ-valerolactone, its open form 4-hydroxy-5-(3'-hydroxyphenyl)-valeric acid, and 3,4-dihydroxyphenylacetic acid represented the largest interindividual variations in the catabolism of red wine polyphenols. Despite these changes, microbial catabolism did not produce significant changes in the main bacterial groups detected, although a slight inhibition of the Clostridium histolyticum group was observed.  相似文献   
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The genetic diversity of the late blight pathogen Phytophthora infestans infecting cultivated potato and alternative hosts growing in the vicinity of fields in the main potato-growing areas of the Peruvian Andes was characterized using collections from 1997–2013 as reference. The Peruvian P. infestans population, including previously collected and current isolates, consists of four clonal lineages (EC-1, US-1, PE-3 and PE-7) that belong to the A1 mating type and have been present in the country for decades. The first report of US-1 was in isolates collected between 1982 and 1986; meanwhile, EC-1 and PE-3 appeared for the first time in isolates from 1992 and PE-7 was found in 1997. The pathogen has a very broad host range among the solanaceous plants infecting cultivated potato, tomato, pear melon and several wild species. The solanaceous species growing in the vicinity of the potato fields sampled were identified and surveyed for late blight-like symptoms. Phytophthora infestans was isolated from nine wild species, including three new host species: Solanum zahlbruckneri, Solanum grandidentatum and Iochroma grandiflorum. There was no clear host specialization, but geographical substructuring was found as well as changes in the pathogen populations at the regional level. The clonal lineage EC-1, which is mostly resistant to metalaxyl, has complex virulence and contains a high level of subclonal variation, continues to dominate the population. Some multilocus genotypes of the EC-1 lineage were sampled in high frequencies and were found among the previously collected and new samples.  相似文献   
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Ecuador has the highest deforestation rate in South America, causing large‐scale soil erosion. Inter‐Andean watersheds are especially affected by a rapid increase of the population leading to the conversion of large areas of montane forest into pasture and cropland. In this study, we estimate soil erosion risk in a small mixed land‐use watershed in the southern Andes of Ecuador. Soil loss was estimated at a spatial resolution of 30 m, using the Revised Universal Soil Loss Equation (RUSLE) where the RUSLE factors were estimated on the basis of limited public available data. Land‐cover maps for 1976, 2008 and 2040 were created assuming increasing deforestation rates over the ensuing decades. Greater erosion rates are estimated for succession areas with agricultural cropland and pasture with maximum values of 936 Mg ha−1 y−1, where slopes and precipitation amounts are the greatest. Under natural forest vegetation, the estimated soil erosion rates are negligible (1·5 to 40 Mg ha−1 y−1) even at steep slopes and higher elevations where rainfall amounts and intensities are generally higher. When the entire watershed has undergone substantial deforestation in 2040, erosion values may reach 2,021 Mg ha−1 y−1. Vegetation cover is the most important factor for potential soil erosion. Secondary factors are related to rainfall (R‐factor) and topography (LS factors). Although the spatial predictions of potential soil erosion have only limited meaning for erosion risk, this method provides an important screening tool for land management and assessment of land‐cover change. Copyright © 2013 John Wiley & Sons, Ltd.  相似文献   
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