BUSCADOR RECOLECTA

Figure S1. Identification of flagellaless GR4flaAB-derivative transposants impaired in the response to volatile 2-tridecanone (2-TDC). Figure S2. Multiple sequence alignment by MUSCLE of DnaJ amino acid sequences from different bacterial species Figure S3. Growth of S. meliloti dnaJ mutants and their parental strains on solid and liquid media. Figure S4. Effect of H2O2 on S. meliloti GR4 and GR4flaAB cell survival. Figure S5. Appearance of alfalfa plants inoculated with S. meliloti dnaJ mutant strains at the end of the nodulation kinetics experiment. Figure S6. Complementation of the symbiotic phenotype of S. meliloti dnaJ mutants. Table S1. Bacterial strains and plasmids used in this study. Table S2. List of primers used in this study, Peer reviewed

S1 Table. List of primers employed by SybrGreen for real-time PCR., Peer reviewed

S2 Table. Kinases employed in this study., Cellular senescence and low-grade inflammation favor the acceleration of aging. The liver is an essential metabolic organ because changes related to its function are related to age-related diseases. The objective of this study was to evaluate the effects of maraviroc (MVC) and/or rapamycin (RAPA) on liver tissue in an experimental model of frailty syndrome in mice, since MVC and RAPA are two molecules able to decrease CCR5 expression, which is overexpressed in patients with frailty. Methods: Eighty male homozygous IL10KO mice were randomly assigned to one of 4 groups (n = 20): i) IL10KO group; ii) MVC group, iii) RAPA group, and iv) MVC-RAPA group. Liver samples were analyzed. Gene expression quantification and western blotting were also performed. The proinflammatory cytokines IL-6 and IL-18 were decreased in MVC and MVC/RAPA groups, IL-12 was decreased in RAPA and MVC/RAPA groups and TNF-α was decreased in all therapeutic groups. P21 was decreased in RAPA and MVC/RAPA groups, Galactosidase beta-1, was also significantly reduced in all therapeutic groups, as were NF-kB1, NF-kB2 and STAT3. In all groups, mTOR and CCL5 were significantly reduced. CCR5 expression was decreased in the MVC and MVC/RAPA groups. Conclusion: MVC and RAPA may protect against some factors involved in liver aging. More studies will be necessary to verify their clinical applications., Peer reviewed

S1 Fig. Original blots of the western blot analysis of Fig 3., Peer reviewed

Data_files_1: Final data frames containing 111 records with information on the individual ID of the birds (id), the aviary where they stayed during the experiment (aviary), and their corresponding sex (sex), reproductive status: bred vs not bred (reproductive), body weight before releasing in the aviaries ingrams (body.mass), malondialdehyde acid values in uM (mda), identification of laboratory analysis session (mda.lab.session), glutathione values in mM (glutathione), identification of laboratory analysis session (glutathione.lab.session), telomere length values in T/S ratio (telomere.length), strength of the pair relationship log transformed (pair.bond.strength.log), strength of the relationship with non-pair members log transformed (Non.pair.sociability.log), and strength of the relationships with all individuals in the avirary (overall.sociability.log). (Romero-Haro et al individuals ddbb.xlsx). This data was used for the analysis at the individual level to run the two linear mixed-effect models (one for males and one for females) that include pre-breeding pair bond strength the response variable, and the physiological variables (MDA, glutathione, and telomere length) as predictor variables. Data_files_2: Final data frames containing50 records with information on the individual ID of the females (female.ID) and the males (male.ID), the aviary where they stayed during the experiment (aviary), malondialdehyde acid values in uM for females (female.oxidative.damage.mda) and males (male.oxidative.damage.mda), identification of laboratory analysis session for the female (female.mda.session) and the male (male.mda.session) sample, glutathione values in mM for the female (female.glutathione) and the male (male.glutathione), identification of laboratory analysis session for the female (female.glutathione.session) and the male (male.glutatione.session), telomere length values in T/S ratio for the female (female.telomere.length) and the male (male.telomere.length), latency to breed in days (latency.to.breed), strength of the pair relationship log transformed (pair.bond.strength.log), strength of the relationship with non-pair members log transformed for the female (non.pair.sociability.female.log) and the males (non.pair.sociability.male.log) (Romero-Haro et al pair ddbb.xlsx). This data was used to run the analysis at the dyadic level on assortative mating and the pair-focused linear mixed-effects model that includes the bond strength of the pair as the response variable, and the levels of oxidative damage of the female and the male of the pair, and their interaction, as predictor variables., Peer reviewed

Appendix of Emerging Microbes & Infections 13: 2295389 (2024), Rat hepatitis E virus (ratHEV; species Rocahepevirus ratti) is considered a newly emerging cause of acute hepatitis of zoonotic origin. ratHEV infection of people living with HIV (PLWH) might portend a worse, as with hepatitis E virus (HEV; species Paslahepevirus balayani), and consequently this group may constitute a high-risk population. We aimed to evaluate the prevalence of ratHEV by measuring viral RNA and specific IgG antibodies in a large Spanish cohort of PLWH. Multicentre study conducted in Spain evaluating PLWHIV included in the Spanish AIDS Research Network (CoRIS). Patients were evaluated for ratHEV infection using PCR at baseline and anti-ratHEV IgG by dot blot analysis to evaluate exposure to ratHEV strains. Patients with detectable ratHEV RNA were followed-up to evaluate persistence of viremia and IgG seroconversion. Eight-hundred and forty-two individuals were tested. A total of 9 individuals showed specific IgG antibodies against ratHEV, supposing a prevalence of 1.1 (95% CI; 0.5%−2.1%). Of these, only one was reactive to HEV IgG antibodies by ELISA. One sample was positive for ratHEV RNA (prevalence of infection: 0.1%; 95% CI: 0.08%−0.7%). The case was a man who had sex with men exhibiting a slightly increased alanine transaminase level (49 IU/L) as only biochemical alteration. In the follow-up, the patients showed undetectable ratHEV RNA and seroconversion to specific ratHEV IgG antibodies. Our study shows that ratHEV is geographical broadly distributed in Spain, representing a potential zoonotic threat., This work was supported by the Andalusian General Secretariat for Research, Development, and Innovation in Health (PI-0287-2019), the Spanish Ministry of Health (RD12/0017/0012), co-financed by European Regional Development Fund (ERDF), and the Carlos III Health Institute (Research Project grant numbers: PI21/00793 and PI22/01098). Projects “PI21/00793” and “PI22/01098” were funded by Carlos III Health Institute (ISCIII) and co-funded by the European Union. ARJ is the recipient of a “Miguel Servet” Research Contract by the Spanish Ministry of Sciences (CP18/00111). JCG is supported by the CIBERINFEC (CB21/13/00083), Carlos III Health Institute, Spanish Ministry os Science and NextGenerationEU. MCJ is the recipient of a PFIS predoctoral grant (FI22/00180) from the Carlos III Health Institute and co-funded by the European Union. DCM is the recipient of a “Rio-Hortega” (CM22/00176) grant from the Carlos III Health Institute and co-funded by the European Union. PLL is the recipient of a “Margarita Salas” contract funded by NextGeneration EU. TGG is recipient of a “Ramon y Cajal” contract funded by MCIN/AEI/10.13039/501100011033 and NextGeneration EU/PRTR. The laboratory of R.G.U. is supported by DZIF Thematic Translational Unit (TTU) “Emerging Infections” (grant number 01.808; awarded to R.G.U.). The HIV BioBank is supported by Carlos III Health Institute (PT20/00138) and Networking Research Center on Bioengineering, Biomaterials and Nanomedicine, CIBER-BBN (CB22/01/00041). CoRIS cohort is supported by CIBER (CB21/13/00091), Carlos III Health Institute, Spanish Ministry of Sciences NextGenerationEU., Peer reviewed

Data from the paper "Optimization of the baiting strategy for the administration of oral vaccines to wild boar". These data are from experiments done in field work based on the baiting preference of different animal species., Peer reviewed

Supplementary Figure S1. Correlation plots are presented to show association between body composition (X-axis) and cancer complications related to head and neck cancer (Y-axis) of males. Pearson’s correlation was conducted and asterisk indicates significant correlation between variables according to the Pearson’s correlation test (*p<0.05). Abbreviations: BCM: Body cell mass; BCMI: BCM index; FFMI: Fat-free mass index; FM: Fat mass; FMI: FM index; OR: Odds ratio; PA: Phase angle; SMI: skeletal muscle index; SPA: Standardized PA., Supplementary Figure S2. Correlation plots are presented to show association between body composition (X-axis) and cancer complications related to head and neck cancer (Y-axis) of females. Pearson’s correlation was conducted and asterisk indicates significant correlation between variables according to the Pearson’s correlation test (*p<0.05). Abbreviations: BCM: Body cell mass; BCMI: BCM index; FFMI: Fat-free mass index; FM: Fat mass; FMI: FM index; OR: Odds ratio; PA: Phase angle; SMI: skeletal muscle index; SPA: Standardized PA., Supplementary Figure S3. Random forest and Decision tree of variable to predict mortality in males. (A) Decision tree performed with the most important variable in the model. (B) Table to calculate the precision of the model. (C) Random forest analysis to predict the importance of variables, presented as gain. Abbreviations: AUC: area under curve;BCM: Body cell mass; BCMI: BCM index; FFMI: Fat-free mass index; FM: Fat mass; FMI: FM index; OR:Odds ratio; PA: Phase angle; SMI: skeletal muscle index; SPA: Standardized PA., Supplementary Figure S4. Random forest and Decision tree of variable to predict mortality in females. (A) Decision tree performed with the most important variable in the model. (B) Table to calculate the precision of the model. (C) Random forest analysis to predict the importance of variables, presented as gain. Abbreviations: AUC: area under curve; BCM: Body cell mass; BCMI: BCM index; FFMI: Fat-free mass index; FM: Fat mass; FMI: FM index; OR: Odds ratio; PA: Phase angle; SMI: skeletal muscle index; SPA: Standardized PA., Supplementary Figure S5. Kaplan-Meier curves for the variables included in the study. (A) Kaplan-Meier curve cell mass index. (B): Kaplan-Meier curve skeletal mass index; (C) Kaplan-Meier curve fat free mass index (D): Kaplan-Meier curve phase angle; (E): Kaplan-Meier curve phase angle; (F): Kaplan-Meier curve fat mass; (G): Kaplan-Meier curve fat mass index Abbreviations: BCM: Body cell mass; BCMI: BCM index; FFMI: Fat-free mass index; FM: Fat mass; FMI: FM index; OR: Odds ratio; PA: Phase angle; SMI: skeletal muscle index; SPA: Standardized PA., [Introduction] Bioelectrical impedance analysis (BIA) serves as a method to estimate body composition. Parameters such as phase angle (PA), standardized phase angle (SPA), body mass cell (BCM), BCM index (BCMI), and fat-free mass (FFM) might significantly impact the prognosis of head and neck cancer (HNC) patients. The present study aimed to investigate whether bioelectrical parameters can be used to predict survival in the HNC population and establish the optimal cutoff points for predictive accuracy., [Methods] A multicenter observational study was performed across 12 tertiary hospitals in Andalusia (a region from the south of Spain). A total of 494 patients diagnosed with HNC between 2020 and 2022 at different stages were included in this study, with a minimum follow-up period of 12 months. The BIA assessment was carried out during the first 2 weeks of radical radiotherapy treatment with chemotherapy or other systemic treatments. A multivariate logistic regression analysis of overall survival, complications, hospital admission, and palliative care and its relationship with BIA nutritional assessment was performed., [Results] Significant prognostic factors identified in the multivariable analysis encompassed phase angle (PA), standardized phase angle (SPA), body cell mass (BCM), and BCM index (BCMI). Lower PA and BCM values were significantly associated with adverse clinical outcomes. A BCM threshold above 17 kg/m2 was the most significant predictor for predicting survival within the overall HNC population. The PA values of <5.1° in male and <4.8° in female patients showed the best predictive potential for mortality. Increased PA (as a continuous variable) demonstrated a significantly reduced risk for mortality (OR, 0.64; 95% CI, 0.43–0.94; p < 0.05) and a decreased likelihood of hospital admission (OR, 0.75; 95% CI, 0.52–1.07; p < 0.05). Higher BCM correlated with a lower risk of mortality (OR, 0.88; 95% CI, 0.80–0.96; p < 0.01) and a diminished probability of hospital admission (OR, 0.91; 95% CI, 0.83–0.99; p < 0.05)., [Conclusion] BIA is a crucial tool in the nutritional assessment of HNC patients. BCM and PA are the main bioelectrical parameters used to predict clinical outcomes in this population. Future studies are needed to validate BIA variables in a large cohort to ensure whether early intensification of nutritional treatment would improve survival., Peer reviewed

Figure S1 Responses to the question “Do you consider the return of the brown bear to Portugal likely in short/mid-term (10–20 years)?” Figure S2. Sector perceived as positively (a) and negatively (b) affected by the return of the brown bear to Portugal by the stakeholder group. Table S1 Structure and content of the questionnaire regarding general information (I), perceptions and attitudes (II), and action plan design preferences (III). Table S2. Respondents in each group of stakeholders and overall by age, gender, and education class. Table S3. Group fuzzy number (GFN), lower group dispersion (LGD), upper group dispersion (UGD), and width of the GFN to statement “I consider the brown bear to be a dangerous animal for human beings.” Table S4. Group fuzzy number (GFN), lower group dispersion (LGD), upper group dispersion (UGD), and width of the GFN to question “I would feel safe living in areas where the brown bear occurs.” Table S5. Group fuzzy number (GFN), lower group dispersion (LGD), upper group dispersion (UGD), and width of the GFN to question “I believe that I would be able to handle correctly the situation in case I find myself with a brown bear in the wild.” Table S6. Group fuzzy number (GFN), lower group dispersion (LGD), upper group dispersion (UGD), and width of GFN of answers to question “What is your general perception of the return of the brown bear to Portugal?” Table S7. Group fuzzy number (GFN), lower group dispersion (LGD), upper group dispersion (UGD), and width of GFN of answers to statement “The return of the brown bear to Portugal constitutes an OPPORTUNITY for local development.” Table S8. Group fuzzy number (GFN), lower group dispersion (LGD), upper group dispersion (UGD), and width of GFN of answers to statement “The return of the brown bear to Portugal constitutes a THREAT for local development.” Table S9. Group fuzzy number (GFN), lower group dispersion (LGD), upper group dispersion (UGD), and width of GFN of answers to statement “I am willing to make ADJUSTMENTS in my activity (without cost) to adapt to the presence of the brown bear in Portugal.” Table S10. Group fuzzy number (GFN), lower group dispersion (LGD), upper group dispersion (UGD), and width of GFN of answers to question “I am willing to assume COSTS (within reasonable limits) in my activity associated with the return of the brown bear to Portugal”. Table S11. Group fuzzy number (GFN), lower group dispersion (LGD), upper group dispersion (UGD), and width of GFN of answers to the statement “People whose economic activity is affected by the return of the brown bear in Portugal will receive EXCLUSIVELY DIRECT COMPENSATION (monetary) for damages or other negative effects caused by the brown bear in my professional activity.” Table S12. Group fuzzy number (GFN), lower group dispersion (LGD), upper group dispersion (UGD), and width of GFN of answers to the statement “People whose economic activity is affected by the return of the brown bear in Portugal will receive EXCLUSIVELY INDIRECT COMPENSATION (tax benefits, land rights, social benefits in terms of housing, transport, education, etc.) for losses or other negative effects caused by the brown bear in my professional activity.”, Peer reviewed

Table S1. Data used in the analysis and data sources. Table S2. Sample sizes for SSD and explanatory variables: mating system, sexual display, clutch size, and diet overlap. Table S3. Phylogenetic generalized least squares (PGLS) testing sexual size dimorphism (SSD) in body mass in relation to diet overlap (Morisita's index) as explanatory variable. Table S4. Phylogenetic generalized least squares (PGLS) testing sexual size dimorphism (SSD) in beak length in relation to diet overlap (Morisita's index) as explanatory variable. Table S5. Phylogenetic generalized least squares (PGLS) testing sexual size dimorphism (SSD) in wing length in relation to diet overlap (Morisita's index) as explanatory variable. Table S6. Phylogenetic generalized least squares (PGLS) testing sexual size dimorphism (SSD) in tarsus in relation to diet overlap (Morisita's index) as explanatory variable. Table S7. Candidates PGLS "full models" for SSD in body mass, beak length, wing length and tarsus length. Table S8. Ranking of all path models using the R packages ‘piecewiseSEM’ and ‘lavaan’. Table S9. Ranking of all path models tested based on CICc values using the R package ‘phylopath’. Figure S1. Distribution of SSD, calculated as log 10 (male trait / female trait) in four morphological traits: body mass, beak length, wing length and tarsus length. Figure S2. Sexual size dimorphism (SSD) according to mating systems: monogamy (MG, greeen) and polygyny (PG, orange). Monogamy corresponded to mating system values of 2 and 3 (i.e., monogamy and <5% polygyny) and polygyny to values of 4 and 5 (i.e., <15 polygyny and lek)., Peer reviewed