University of Alcalá

About: University of Alcalá is a education organization based out in Alcalá de Henares, Spain. It is known for research contribution in the topics: Population & Receptor. The organization has 10795 authors who have published 20718 publications receiving 410089 citations. The organization is also known as: University of Alcala & University of Alcala de Henares.

Diversity buffers winegrowing regions from climate change losses

Abstract: Agrobiodiversity—the variation within agricultural plants, animals, and practices—is often suggested as a way to mitigate the negative impacts of climate change on crops [S. A. Wood et al., Trends Ecol. Evol. 30, 531–539 (2015)]. Recently, increasing research and attention has focused on exploiting the intraspecific genetic variation within a crop [Hajjar et al., Agric. Ecosyst. Environ. 123, 261–270 (2008)], despite few relevant tests of how this diversity modifies agricultural forecasts. Here, we quantify how intraspecific diversity, via cultivars, changes global projections of growing areas. We focus on a crop that spans diverse climates, has the necessary records, and is clearly impacted by climate change: winegrapes (predominantly Vitis vinifera subspecies vinifera). We draw on long-term French records to extrapolate globally for 11 cultivars (varieties) with high diversity in a key trait for climate change adaptation—phenology. We compared scenarios where growers shift to more climatically suitable cultivars as the climate warms or do not change cultivars. We find that cultivar diversity more than halved projected losses of current winegrowing areas under a 2 °C warming scenario, decreasing areas lost from 56 to 24%. These benefits are more muted at higher warming scenarios, reducing areas lost by a third at 4 °C (85% versus 58%). Our results support the potential of in situ shifting of cultivars to adapt agriculture to climate change—including in major winegrowing regions—as long as efforts to avoid higher warming scenarios are successful.

Revisiting phylogenetic signal; strong or negligible impacts of polytomies and branch length information?

Abstract: Inaccurate estimates of phylogenetic signal may mislead interpretations of many ecological and evolutionary processes, and hence understanding where potential sources of uncertainty may lay has become a priority for comparative studies. Importantly, the sensitivity of phylogenetic signal indices and their associated statistical tests to incompletely resolved phylogenies and suboptimal branch-length information has been only partially investigated. Here, we use simulations of trait evolution along phylogenetic trees to assess whether incompletely resolved phylogenies (polytomic chronograms) and phylogenies with suboptimal branch-length information (pseudo-chronograms) could produce directional biases in significance tests (p-values) associated with Blomberg et al.’s K and Pagel’s lambda (λ) statistics, two of the most widely used indices to measure and test phylogenetic signal. Specifically, we conducted pairwise comparisons between the p-values resulted from the use of “true” chronograms and their degraded counterparts (i.e. polytomic chronograms and pseudo-chronograms), and computed the frequency with which the null hypothesis of no phylogenetic signal was accepted using “true” chronograms but rejected when using their degraded counterparts (type I bias) and vice versa (type II bias). We found that the use of polytomic chronograms in combination with Blomberg et al.’s K resulted in both, clearly inflated estimates of phylogenetic signal and moderate levels of type I and II biases. More importantly, pseudo-chronograms led to high rates of type I biases. In contrast, Pagel’s λ was strongly robust to either incompletely resolved phylogenies and suboptimal branch-length information. Our results suggest that pseudo-chronograms can lead to strong overestimation of phylogenetic signal when using Blomberg et al.’s K (i.e. high rates of type I biases), while polytomies may be a minor concern given other sources of uncertainty. In contrast, Pagel’s λ seems strongly robust to either incompletely resolved phylogenies and suboptimal branch-length information. Hence, Pagel’s λ may be a more appropriate alternative over Blomberg et al.’s K to measure and test phylogenetic signal in most ecologically relevant traits when phylogenetic information is incomplete.

HCV‐associated thrombocytopenia: clinical characteristics and platelet response after recombinant α2b‐interferon therapy

Abstract: Hepatitis C virus (HCV) has been proposed as a possible causative agent of chronic thrombocytopenia We investigated HCV infection in a series of 51 unselected Spanish patients with chronic acquired thrombocytopenia Anti-HCV and HCV viraemia were detected in 13/51 (225%) of cases; this prevalence was particularly significant when compared with HCV seropositivity in age-matched controls (04%) Anti-HCV-positive patients, four men and nine women with a median age of 593 years (range 36-72), had a mean platelet count of 558 x 109/l (range 12-96) Only one of our HCV-positive thrombocytopenic patients had hypersplenism Platelet-associated IgG (PAIgG) was negative, as measured by immunofluorescent flow cytometric analysis in 11/13 HCV-positive thrombocytopenic patients Thus, thrombocytopenia in our HCV-positive patients appeared to be non-autoimmune mediated In six patients, a trial of recombinant alpha2b-interferon (IFN-alpha) given at a dose of 3 MU three times per week for 6-24 months gave a durable (> 1 year) and significant increase in platelet count in all six patients The maximum increase occurred after 6 months of IFN-alpha therapy In conclusion, the ability of IFN-alpha to increase platelet counts in HCV-positive thrombocytopenic patients supports mechanisms involving a direct role for HCV inhibiting platelet production

Simple sequence repeat primers used in polymerase chain reaction amplifications to study genetic diversity in barley.

Abstract: In combination with oligonucleotides of arbitrary sequence, 5′ anchored oligonucleotides based on simple sequence repeats were used in polymerase chain reaction amplifications to produce barley DNA fingerprints. The aim of this work was (i) to develop a simple nonradioactive experimental procedure to reveal polymorphism in regions containing SSRs, (ii) to determine the genetic nature of polymorphisms, and (iii) to investigate the efficacy of polymorphisms contained in such fingerprints in disclosing genetic relationships between 14 European barley cultivars with known pedigrees. Different 10-mer oligonucleotides containing a dinucleotide motif were used as single primers and also in pairs with 10-mer oligonucleotides of arbitrary sequence. Further, the arbitrary oligonucleotides were used as single primers to produce RAPDs. Thirteen combinations of primers containing either GT(CA)4 or GC(CA)4 were selected on the basis of number and intensity of scorable bands in silver-stained 7% polyacrylamide gels. Of ...

Towards life-long visual localization using an efficient matching of binary sequences from images

Abstract: Life-long visual localization is one of the most challenging topics in robotics over the last few years. The difficulty of this task is in the strong appearance changes that a place suffers due to dynamic elements, illumination, weather or seasons. In this paper, we propose a novel method (ABLE-M) to cope with the main problems of carrying out a robust visual topological localization along time. The novelty of our approach resides in the description of sequences of monocular images as binary codes, which are extracted from a global LDB descriptor and efficiently matched using FLANN for fast nearest neighbor search. Besides, an illumination invariant technique is applied. The usage of the proposed binary description and matching method provides a reduction of memory and computational costs, which is necessary for long-term performance. Our proposal is evaluated in different life-long navigation scenarios, where ABLE-M outperforms some of the main state-of-the-art algorithms, such as WI-SURF, BRIEF-Gist, FAB-MAP or SeqSLAM. Tests are presented for four public datasets where a same route is traversed at different times of day or night, along the months or across all four seasons.