Resultados de investigación

1 page. -- 1 figure. -- Figure S1 illustrates the extraction of anomaly values out of BGC-Argo profile data, following the procedure described in Sect. 2.4 of the main manuscript., The identification of mesoscale eddies from remote sensing altimetry is often used as a first step for downstream analyses of surface or subsurface auxiliary data sets, in a so-called composite analysis framework. This framework aims at characterizing the mean perturbations induced by eddies on oceanic variables, by merging the local anomalies of multiple data instances according to their relative position to eddies. Here, we evaluate different altimetry data sets derived for the Black Sea and compare their adequacy to characterize subsurface oxygen and salinity signatures induced by cyclonic and anticyclonic eddies. In particular, we propose that the theoretical consistency and estimated error of the reconstructed mean anomaly may serve to qualify the accuracy of gridded altimetry products and that BGC-Argo data provide a strong asset in that regard. The most recent of these data sets, prepared with a coastal concern in the frame of the ESA EO4SIBS project, provides statistics of eddy properties that, in comparison with earlier products, are closer to model simulations, in particular for coastal anticyclones. More importantly, the subsurface signature of eddies reconstructed from BGC-Argo floats data is more consistent when the EO4SIBS data set is used to relocate the profiles into an eddy-centric coordinate system. Besides, we reveal intense subsurface oxygen anomalies which stress the importance of mesoscale contribution to Black Sea oxygen dynamics and support the hypothesis that this contribution extends beyond transport and involves net biogeochemical processes., Peer reviewed

Tables with signals and NMR spectra of compounds and the supplementary figures mentioned in the Results section., Peer reviewed

Supplementary Table S1. SNP-trait associations revealed by the ST-GWAS analysis. Underscored SNPs represents the highly significant associations, while SNPs in italic represents the SNPs associated with multiple traits. Supplementary Table S2. Gene annotation information of some of the highly significant NPSs-traits associations. Supplementary Table S3. Details of the traits recorded at each experiment; traits are coded as the environment, followed by the trait, the treatment and “RI” if the number describe a reduction index. Supplementary Table S4. Description of the damages observed in the treated plants for each herbicide damage score (HDS)., Peer reviewed

Supplementary Table 1: Primer sequences used for RT-qPCR analysis. Supplementary Table 2. Analysis of variance (ANOVA) for the effects of Genotype, Repetition, interaction between Genotype and Repetition. Supplementary Table 3. List of candidate genes underlying Lathyrus cicera pQTLs for rust resistance based on orthologous positions in the Pisum sativum genome., Rusts are among the most important foliar biotrophic fungal diseases in legumes. Lathyrus cicera crop can be severely damaged by Uromyces pisi, to which partial resistance has been identified. Nevertheless, the underlying genetic basis and molecular mechanisms of this resistance are poorly understood in L. cicera. To prioritise the causative variants controlling partial resistance to rust in L. cicera, a recombinant inbred line (RIL) population, segregating for response to this pathogen, was used to combine the detection of related phenotypic- and expression-quantitative trait loci (pQTLs and eQTLs, respectively). RILs’ U. pisi disease severity (DS) was recorded in three independent screenings at seedling (growth chamber) and in one season of exploratory screening at adult plant stage (semi-controlled field conditions). A continuous DS range was observed in both conditions and used for pQTL mapping. Different pQTLs were identified under the growth chamber and semi-controlled field conditions, indicating a distinct genetic basis depending on the plant developmental stage and/or the environment. Additionally, the expression of nine genes related to U. pisi resistance in L. cicera was quantified for each RIL individual and used for eQTL mapping. One cis-eQTL and one trans-eQTL were identified controlling the expression variation of one gene related to rust resistance – a member of glycosyl hydrolase family 17. Integrating phenotyping, gene expression and linkage mapping allowed prioritising four candidate genes relevant for disease-resistance precision breeding involved in adaptation to biotic stress, cellular, and organelle homeostasis, and proteins directly involved in plant defence., Peer reviewed

Rusts are among the most important foliar biotrophic fungal diseases in legumes. Lathyrus cicera crop can be severely damaged by Uromyces pisi, to which partial resistance has been identified. Nevertheless, the underlying genetic basis and molecular mechanisms of this resistance are poorly understood in L. cicera. To prioritise the causative variants controlling partial resistance to rust in L. cicera, a recombinant inbred line (RIL) population, segregating for response to this pathogen, was used to combine the detection of related phenotypic- and expression-quantitative trait loci (pQTLs and eQTLs, respectively). RILs’ U. pisi disease severity (DS) was recorded in three independent screenings at seedling (growth chamber) and in one season of exploratory screening at adult plant stage (semi-controlled field conditions). A continuous DS range was observed in both conditions and used for pQTL mapping. Different pQTLs were identified under the growth chamber and semi-controlled field conditions, indicating a distinct genetic basis depending on the plant developmental stage and/or the environment. Additionally, the expression of nine genes related to U. pisi resistance in L. cicera was quantified for each RIL individual and used for eQTL mapping. One cis-eQTL and one trans-eQTL were identified controlling the expression variation of one gene related to rust resistance – a member of glycosyl hydrolase family 17. Integrating phenotyping, gene expression and linkage mapping allowed prioritising four candidate genes relevant for disease-resistance precision breeding involved in adaptation to biotic stress, cellular, and organelle homeostasis, and proteins directly involved in plant defence., Peer reviewed

Rusts are among the most important foliar biotrophic fungal diseases in legumes. Lathyrus cicera crop can be severely damaged by Uromyces pisi, to which partial resistance has been identified. Nevertheless, the underlying genetic basis and molecular mechanisms of this resistance are poorly understood in L. cicera. To prioritise the causative variants controlling partial resistance to rust in L. cicera, a recombinant inbred line (RIL) population, segregating for response to this pathogen, was used to combine the detection of related phenotypic- and expression-quantitative trait loci (pQTLs and eQTLs, respectively). RILs’ U. pisi disease severity (DS) was recorded in three independent screenings at seedling (growth chamber) and in one season of exploratory screening at adult plant stage (semi-controlled field conditions). A continuous DS range was observed in both conditions and used for pQTL mapping. Different pQTLs were identified under the growth chamber and semi-controlled field conditions, indicating a distinct genetic basis depending on the plant developmental stage and/or the environment. Additionally, the expression of nine genes related to U. pisi resistance in L. cicera was quantified for each RIL individual and used for eQTL mapping. One cis-eQTL and one trans-eQTL were identified controlling the expression variation of one gene related to rust resistance – a member of glycosyl hydrolase family 17. Integrating phenotyping, gene expression and linkage mapping allowed prioritising four candidate genes relevant for disease-resistance precision breeding involved in adaptation to biotic stress, cellular, and organelle homeostasis, and proteins directly involved in plant defence., Peer reviewed

17 pages. -- File includes supplementary data: Synthesis of MXene/AC; In-situ growth MXene/TEAPW12 Delamination of MXene with TEAOH; Synthesis of MXene/TEAPW12; Preparation of activated carbon electrode for asymmetric capacitors; Charge balance of the asymmetric capacitors. -- Figures and tables., ICN2 and IREC are funded by the CERCA programme / Generalitat de Catalunya, and ICN2 is also supported by the Severo Ochoa Centres of Excellence programme, funded by the Spanish Research Agency (AEI, grant no. SEV-2017-0706)., Peer reviewed

Table S1. m/z values of phenolic compounds obtained in wheat samples by HPLC-ESI-QTOF-MS., Peer reviewed

Figure S1: Starch hydrolysis kinetic of control biscuit (100% WF), BQC (15% SQF, 25% SCF, and 60% WF) and white wheat bread, Table S1: Sprouting parameters of cañihua, kiwicha, and quinoa grains, Table S2: Experimental design with three independent variables (proportion of a combination of three flour types)., Peer reviewed

26 pages. -- PDF file includes: Materials and methods; XAFS Measurements; XAFS Analysis and Results; Synthesis Methods: Preparation of IRMOF-3; Preparation of ZIF-8; Preparation of Fe-IRMOF-3 and Fe-ZIF-8; Preparation of Disperse Fe-N-C (denoted as O-Fe-N-C and Fe-N-C); Preparation of O-Fe-N-C-Acid; Ink Preparation; Electrochemical Measurement; Calculation Method; DFT Calculations. -- Figures and tables., ICN2 acknowledges funding from Generalitat de Catalunya 2017 SGR 327.ICN2 was supported by the Severo Ochoa program from Spanish MINECO (Grant No. SEV-2017-0706)., Peer reviewed