BUSCADOR RECOLECTA

Peer reviewed

[Introduction]: Drought-associated tree mortality has been increasing worldwide since the last decades, impacting structure and functioning of forest ecosystems, with implications for energy, carbon and water fluxes. However, the understanding of the individual vulnerability to drought-induced mortality is still limited., [Methods]: We aimed to identify the factors that triggered the mortality of the widely distributed Pinus sylvestris L. in an extensive forest area in central Spain. We compared radial growth patterns in pairs of alive and recently dead individuals that co-occur in close proximity and present similar age and size, thereby isolating the effects of size and environment from the mortality process. Temporal dynamics of growth, growth synchrony, and growth sensitivity to water availability (precipitation minus potential evapotranspiration) were compared between alive and recently dead trees., [Results and discussion]: Over the last 50 years, although we did not detect significant differences in growth between alive and dead trees, an increase in the growth synchrony and sensitivity to water availability (i.e. slope of the climatic water balance in the growth model) was observed in all trees as drought intensity increased. 20 years before mortality, dead individuals showed lower growth synchrony and growth sensitivity to water availability than alive ones, without significant differences in growth. Recorded reduction in growth synchrony and growth sensitivity to water availability in dead trees suggests a decoupling between tree growth and climate, which could increase the risk of hydraulic failure and/or carbon starvation under increasingly arid conditions. Thus, the use of reduced growth sensitivity to water availability as potential early-warning signal of tree mortality, together with reduced growth synchrony, should be further explored, particularly in pine species in seasonally dry areas., Peer reviewed

[Background]: Little is known about whether the overlap syndrome (OS) combining features of chronic obstructive pulmonary disease (COPD) and sleep apnea-hypopnea syndrome increases the risk of stroke associated with COPD itself., [Methods]: We prospectively studied 74 COPD patients and 32 subjects without lung disease. Spirometry and cardiorespiratory polygraphy were used to assess the pulmonary function of the study population and ultrasound measurements of intima media thickness (IMT) as well as the volume of plaques in both carotid arteries were also evaluated., [Results]: Polygraphic criteria of OS were met in 51% of COPD patients. We found that 79% of patients with OS and 50% of COPD patients without OS had atherosclerotic plaques in the left carotid artery (p = 0.0509). Interestingly, the mean volume of atherosclerotic plaques was significantly higher in the left carotid artery of COPD patients with OS (0.07 ± 0.02 ml) than in those without OS (0.04 ± 0.02 ml, p = 0.0305). However, regardless of the presence of OS, no significant differences were observed in both presence and volume of atherosclerotic plaques in the right carotid artery of COPD patients. Adjusted-multivariate linear regression revealed age, current smoking and the apnea/hypopnea index (OR = 4.54, p = 0.012) as independent predictors of left carotid atherosclerotic plaques in COPD patients., [Conclusions]: This study suggests that the presence of OS in COPD patients is associated with larger left carotid atherosclerotic plaques, indicating that OS might be screened in all COPD patients to identify those with higher risk of stroke., Peer reviewed

Additional file 13: Supplementary Table S4. tRNA fragment reads in Control (wt) and METTL1 KO cells., Consejo Superior de Investigaciones Científicas (España), Peer reviewed

(A) CBK1-GFP cdc15-2 (YMF3566) and CBK1-GFP TOR1-1 cdc15-2 (YMF3565) cells were grown in YPD and arrested in late anaphase by shifting the temperature to 37 °C before the addition of rapamycin for 20 min to both strains. In addition, DMSO was added to one half of CBK1-GFP cdc15-2. Untagged cdc15-2 (YMF3580) and TOR1-1 cdc15-2 cells (YMF3578) were used as controls. Cell extracts were prepared before the immunoprecipitation of Cbk1-GFP on ChromoTek GFP-Trap Magnetic beads. Isolated material was subjected to analysis by mass spectrometry. Numbers represent spectral average of key Cbk1 functional-related interactors in 3 independent replicates of the experiment. The average is calculated as the sum of all spectral counts for the 3 replicates divided by 3. We found Cbk1 interactions previously described: Mob2 [48] or components of the RAM pathway such as Tao3 [97], Sog2 [98], and Kic1 [99]. Besides, Cbk1 negative regulators Lre1 and Fir1 were also identified [5,43]. Besides, MS found Myo1, a component of the actomyosin ring [43]. Our results showed that Cbk1 interacts with the transcription factor Ace2 [47,48]. Moreover, Cbk1 was bound to Ssd1, an RNA-binding protein that represses the translation of cell wall remodelling proteins until Ssd1 is phosphorylated by Cbk1 [48,100]. Interestingly, TORC1 and Ssd1 have been described to collaborate to maintain cellular integrity [73]. We found interactions with paralogs serine/threonine kinases Kin1 and Kin2 [74,75]. Finally, we detected protein Yol036w of unknown function interacting with Cbk1 [40,74]. Details of other known Cbk1 interactors are shown in S2 Table. (B) CBK1-5FLAG ACE2-HA cdc15-2 (YMF3585) and control cells (YMF3587) (i), CBK1-5FLAG MOB2-9MYC cdc15-2 (YMF3838) and control cells (YMF3835) (ii), or CBK1-TAP SOG2-6HA cdc15-2 (YMF4235) and control cells (YMF4236) cells (iii) were grown in YPD and arrested in late anaphase by shifting to 37 °C before the addition of rapamycin for 20 min when indicated. Subsequently, protein extracts were prepared and immunoprecipitations of Cbk1 on FLAG-beads or IgG beads (as denoted) were performed before the detection of the indicated proteins by immunoblotting. Raw data for blots can be found in Supporting information (S7 Raw Images). (C) Components of TORC1 were found in the same mass spectrometry analysis as in A. Numbers represent spectral average of 3 independent replicates of the experiment., pbio.3002263.s008.pdf, Peer reviewed

1 file, Supplementary information for the article https://doi.org/10.1038/s41598-020-57501-0, Table S1. Primer sequences used for qPCR.-- Supplementary Figure S1. Antiviral activity of the CRP1-7-depleted supernatants.-- Supplementary Figure S2. Assessment of the ability of CRP-mix to induce the transcription of ifnphi1 and ifnphi2 in vitro.-- Supplementary Figure S3. Assessment of the ability of IL-6 to induce the expression of crp1-7 transcripts in vivo.-- Supplementary Figure S4. Transcriptional modulation of autophagy by SVCV in the ZF4 cells.-- Supplementary Figure S5. Effect of the addition of exogenous cholesterol on intracellular autophagosome levels and SVCV infection in vitro, Peer reviewed

Number and frequency of visits to Pyrus bourgaeana trees in southern Spain. The number of visits has been added to this file for first time., PID2022-142067NB-I00 CGL2017- 84633- P FPU17/04375, Peer reviewed

Lateral views of adult eyes (a-c) and L3 eye discs, stained with Dcp-1 (and counterstained with rhodamine phalloidin, “actin”) (a’-c’) of the indicated genotypes. (d) Distribution of apoptosis intensity in L3 discs of the indicated genotypes. Blocking apoptosis driving the UAS-RHG-RNAi reduces the apoptosis caused by tkv attenuation (optix>tkvRI + RHGRI). The statistical analysis corresponding to these data can be found in S2 Table. (*): p < 0.05; (**): p < 0.01; (***): p < 0.001. The data underlying the graphs shown in the figure can be found in “Fig 2_data” in the Supporting information file S1 Raw Data., Peer reviewed

First block shows each genotype’s effect on the rE median, their p.values, and the predicted median for each of them. The second and third blocks show the standard deviation of each group for rE and sFAi, respectively, and the result of the comparison of variances of each group against the optix>+ reference group., Peer reviewed

[Description of methods used for collection/generation of data] Download from publicly available sources, with analysis, statistical inference and assembly with Python., [Methods for processing the data] Python executed in Jupyter notebooks., We use a multilayer network approach to build digital twins of 5 Spanish cities (Barcelona, Valencia, Sevilla, Zaragoza and Murcia), describing them at the level of individuals, who have specific ages, sexes and home districts. We inferred interactions among individuals using publicly available data and statistics linked to home, school, university, work, community and nursing homes contexts (layers). This dataset includes the source data and codes needed for building the digital twins, together with individual metadata and the link lists associated with each city and each layer., JR, AA, and YM acknowledge support from the Government of Aragon (FONDO–COVID19-UZ-164255). JR is supported by Govern de les Illes Balears through the Vicenç Mut program and the María de Maeztu Excellence Unit 2023-2027 Ref. CEX2021-001164-M, funded by MCIN/AEI/ 10.13039/501100011033. AA acknowledges support through the grant RYC2021-033226-I funded by MCIN/ AEI/ 10.13039/501100011033 and the European Union NextGenerationEU/PRTR. YM was partially supported by the Government of Aragon, Spain, and ERDF "A way of making Europe" through grant E36-20R (FENOL), and by Ministerio de Ciencia e Innovación, Agencia Española de Investigación (MCIN/AEI/ 10.13039/501100011033) Grant No. PID2020-115800GB-I00. The authors acknowledge the use of the computational resources of COSNET Lab at Institute BIFI, funded by Banco Santander through grant Santander-UZ 2020/0274, and by the Government of Aragon (FONDO–COVID19-UZ-164255). JR and AA acknowledge funding from la Caixa Foundation under the project code SR20-00386 (COVID-SHINE)., With funding from the Spanish government through the "Severo Ochoa Centre of Excellence" accreditation (CEX2021-001164-M)., citydigitwin.zip, Peer reviewed