Resultados de investigación

Two 90° apart views of the superposition of the P1 structures determined by X-ray crystallography (PDB code 6RC9) and in this work in the complex P1-Fab(P1/MCA4) (in brown and green, respectively)., Peer reviewed

2 files.-- Supplementary files for https://doi.org/10.1080/10871209.2024.2423924, Recreational hunting, particularly trophy big game hunting, significantly influences large territories and demands specific wildlife management measures. The pursuit of maximum hunter satisfaction can compromise species conservation. Is key to identify the factors that drive the satisfaction of recreational trophy hunters. We investigated the factors influencing recreational trophy hunters' satisfaction in Southern Spain. We attended 20 dog-driven Iberian red deer hunts, collecting geographical and biometrical data from 556 hunted specimens and conducting 159 face-to-face surveys with hunters. Based on partial least-square path models, we found that overall satisfaction was positively correlated with achievement, appreciation, and service dimensions. Contextual variables, including hunters' experience, hunting scenarios, and individual and group hunting bags, showed different effects on these satisfaction dimensions. Several dimensions of hunters' satisfaction were affected by management decisions, which may have implications for conservation within our study system and broader implications for natural game management versus canned hunt practices, Peer reviewed

a) Two 90° apart views of the whole cryo-EM map of the P1-Fab(P1/MCA4) complex. The map is crispy, with well-defined side chains, for most of P1 and also for the Fab variable module (VL-VH). Inset shows the map at the epitope-paratope interface (same color code as in Fig 1a). b) The quality of the map allowed the identification of a large number of solvent molecules in the N-terminal domain of P1., Peer reviewed

1) M. pneumoniae ; 2) P1Glob. Thr29-Ala1375; 3) P1 C-terminal A1400-D1521; 4) P1 C-terminal K1376-D1521; 5) C-terminal P140 S1244-D1351. The key peptide in the epitope of P1 (1426 TDLFDPVTMLVYD 1438) presents a high sequence identity with the corresponding peptide in P140 (1270 TELFDPNTMFVYD 1282)., Peer reviewed

14 pages, 5 figures, Incorporating macroalgae like Ulva species into integrated multi-trophic aquaculture (IMTA) enhances sustainability by filtering effluents and provide epiphytic bacteria, that can contribute to disease prevention. Colonizing Ulva ohnoi with Phaeobacter sp. 4UAC3 is promising for disease control in IMTA systems, but high light intensity impacts Phaeobacter’s persistence on Ulva. This study investigated the effect of different light intensities and regimes on the ability of Phaeobacter sp. 4UAC3·to colonize U. ohnoi. Experiments assessed algal growth, water physicochemistry, and microbial profiles using culture techniques and 16S rRNA gene sequencing. Light intensities of 143, 75, 45, and 0 μmol photons m−2 s−1 were tested on U. ohnoi and non-living surfaces inoculated with Phaeobacter sp. 4UAC3. Results showed that Phaeobacter sp. 4UAC3 colonization on U. ohnoi decreased in the light but remained stable in the dark. On non-living surfaces, Phaeobacter persisted regardless of light intensity, suggesting light does not directly affect the bacterium. However, light had an impact on microbial community structure on U. ohnoi, with genera including Glaciecola, Maribacter and Roseobacter significantly enriched under higher light conditions. This suggests the disappearance of Phaeobacter sp. 4UAC3 is in part a result of competition with specific bacteria. Additionally, the chemical microenvironment of the algae influenced by light could be important in Phaeobacter disappearance, although further research is required. Finally, optimal co-culture involved alternating dark and low-light (45 μmol photons·m−2 s−1) phases, enhancing Phaeobacter sp. 4UAC3 maintenance and optimal algal growth. This knowledge will optimize a fish-algae IMTA-RAS using Ulva colonized with Phaeobacter, Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. The IntegRas project (AGL 2013- 41868-R) and the UlvaQuo Project (RTI2018-095062-B-C21) were funded by the Spanish Agencia Estatal de Investigación. Gonzalo Del Olmo was beneficiary of a grant from the Galician Axencia Galega de Innovación (IN606A-2021/038), Peer reviewed

This repository hosts the data, R scripts, and Stan models needed to reproduce results and figures from the article Detecting context-dependence in the expression of life history tradeoffs. See the README file for a description of the different files contained in this repository., Peer reviewed

A) Different constructs containing C-term trimmed versions (1 to 10) or N-term trimmed versions (11 to 18) of P1 and the minimal amino acid sequence (in red) needed to detect P1 by Mab P1/MCA4. B) Western blot analyses of the different constructs using Mab P1/MCA4. The + symbol denotes that a particular construct is detected by Mab P1/MCA4., Peer reviewed

In each of the two samples containing the Mab P1/MCA4 and a construct of the C-domain from P1 is clear the presence of a complex with molecular weight of ~179.4 and 189.5 kDa, for constructs A1400 (a) and K1376 (b), respectively., Peer reviewed

Nucleotides and amino-acids sequences corresponding to the Heavy and the (two) Light chains from Mab P1/MCA4., Peer reviewed

Repository containing datasets and code for manuscript entitled "Downscaling mutualistic networks from species to individuals reveals consistent interaction niches and roles within plant populations". Please refer to makefile.R for project outline, explanation and codes used, and to the README.md in networks folder for data structure and compilation. For this study, we compiled 46 empirical individual-based networks on plant-animal seed dispersal mutualism, encompassing 1037 plant individuals across 29 species from various regions. We compare the structure of individual-based networks to that of species-based networks and by extending the niche concept to interaction assemblages, we explore levels of individual plant specialization. We examine how individual variation influences network structure and how plant individuals "explore" the interaction niche of the population., Peer reviewed