3,134 publications from this institution
Rios, M. T.1; Dominguez-Sardiña, M.1; Pousa, L.1; Perez De Lis, J.1; Otero, A.2; Fontao, M. J.3; Fernandez, J. R.3; Ayala, D. E.3; Hermida, R. C.3 Author Information
Tomato, Solanum Lycopersicum L., is the second most consumed fruit in the world. According to the Food and Agriculture Organization (FAO, 2020), more than 180 million tons of tomatoes are produced worldwide, but, depending on the season, 5–10% are discarded for fresh consumption due to their ripening stage, colour, size or shape. This represents important losses for the producers and has a negative impact on the environment. Those tomato wastes are normally destroyed, but there is a large potential for valorization in the food supply chain. Tomato waste constitutes a largely chemical value from which a variety of valuable chemicals can be derived. On the other hand, it can be used in animal feed, composting and vermiculture and as a substrate for microbial growth, being an excellent biological source.
A preparation of crude polysaccharides (TPS) was isolated from Camellia sinensis by precipitation and ultrafiltration. TPS1, TPS2, and TPS3 had molecular weights of 240, 21.4, and 2.46 kDa, respectively. The radical scavenging activities of TPS were evaluated by DPPH free radical, hydroxyl radical and superoxide radical scavenging. These results revealed that TPS exhibited strong radical scavenging activity in a concentration-dependent manner. TPS3 with lowest molecular weight showed a higher radical scavenging activity.
Current phylogenomic data sets highlight the need for species tree methods able to deal with several sources of gene tree/species tree incongruence. At the same time, we need to make most use of all available data. Most species tree methods deal with single processes of phylogenetic discordance, namely, gene duplication and loss, incomplete lineage sorting (ILS) or horizontal gene transfer. In this manuscript, we address the problem of species tree inference from multilocus, genome-wide data sets regardless of the presence of gene duplication and loss and ILS therefore without the need to identify orthologs or to use a single individual per species. We do this by extending the idea of Maximum Likelihood (ML) supertrees to a hierarchical Bayesian model where several sources of gene tree/species tree disagreement can be accounted for in a modular manner. We implemented this model in a computer program called guenomu whose inputs are posterior distributions of unrooted gene tree topologies for multiple gene families, and whose output is the posterior distribution of rooted species tree topologies. We conducted extensive simulations to evaluate the performance of our approach in comparison with other species tree approaches able to deal with more than one leaf from the same species. Our method ranked best under simulated data sets, in spite of ignoring branch lengths, and performed well on empirical data, as well as being fast enough to analyze relatively large data sets. Our Bayesian supertree method was also very successful in obtaining better estimates of gene trees, by reducing the uncertainty in their distributions. In addition, our results show that under complex simulation scenarios, gene tree parsimony is also a competitive approach once we consider its speed, in contrast to more sophisticated models.
The relationship between the structural properties of selected dietary polyphenols and their affinities for bovine hemoglobin (bHB) was investigated by fluorescence analysis. The presence of an additional methoxy group on flavonoids weakened the affinities for bHB by 1.15-13.80 times. Hydroxylation on rings A, B, and C also significantly affected the affinity for bHB. The glycosylation of flavonoids decreased the affinities for bHB by 1 order of magnitude depending on the conjugation site and the class of sugar moiety. Hydrogenation of the C2═C3 double bond also decreased the binding affinity. The galloylated catechins exhibited higher binding affinities for bHB than nongalloylated. The glycosylation of resveratrol increased its affinity for bHB. The binding process with bHB was strongly influenced by the structural differences of dietary polyphenols. The affinities for bHB increased with increasing partition coefficients and decreased with increasing hydrogen bond donor and acceptor numbers of polyphenols, which suggested that the binding interaction was mainly caused by the hydrophobic force.