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Encontrada(s) 3352 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311640
Dataset. 2022

ONLINE APPENDIX CENTRALIZED ADMISSIONS, AFFIRMATIVE ACTION AND ACCESS OF LOW-INCOME STUDENTS TO HIGHER EDUCATION

  • Mello, Úrsula
A Data Appendix A.1 Data Access and Data Sources A.1.1 INEP Microdata A.1.2 SISU Data A.1.3 Affirmative Action Quotas Data A.2 Data Description A.2.1 Student-level data A.2.2 Institution-level data A.2.3 Program-level data B Self-declared Data B.1 Variable “Public-school Student (PS)” B.2 Variable “Public-school Non-white Student (PSNW)” B.3 Variable “Public-school Low-income Student (PSLI)” C Missing Data and Sample Selection D Replicability: Results at Program Level E Affirmative Action Treatment E.1 Ethnic versus Non-Ethnic Quotas E.2 Local Supply of PS and PSNW Students E.3 Strategic High School Choice F Heterogeneity F.1 By Initial Share of Enrollments of Low-SES Students F.2 Persistence G Robustness G.1 Spillovers and SUTVA G.2 Robustness of Out-of-state Students’ Outcome H Additional Figures and Tables, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/311640
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311640
HANDLE: http://hdl.handle.net/10261/311640
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311640
PMID: http://hdl.handle.net/10261/311640
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311640
Ver en: http://hdl.handle.net/10261/311640
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oai:digital.csic.es:10261/311640

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311641
Dataset. 2022

SUPPLEMENTARY DATA OF "CONTRIBUTIONS OF MARINE AREA-BASED MANAGEMENT TOOLS TO THE 2030 UN SUSTAINABLE DEVELOPMENT GOALS"

  • Gissi, Elena
  • Maes, Frank
  • Kyriazi, Zacharoula
  • Ruiz-Frau, Ana
  • Frazão Santos, Catarina
  • Neumann, Barbara
  • Quintela, Adriano
  • Alves, Fátima L.
  • Borg, Simone
  • Chen, Wenting
  • Fernandes, Maria da Luz
  • Hadjimichael, Maria
  • Manea, Elisabetta
  • Marques, Márcia
  • Platjouw, Froukje Maria
  • Portman, Michelle E.
  • Sousa, Lisa P.
  • Bolognini, Luca
  • Flannery, Wesley
  • Grati, Fabio
  • Pita, Cristina
  • Văidianu, Natașa
  • Stojanov, Robert
  • Tatenhove, Jan van
72 pages. -- Tables and supplementary methods., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/311641
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311641
HANDLE: http://hdl.handle.net/10261/311641
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311641
PMID: http://hdl.handle.net/10261/311641
Digital.CSIC. Repositorio Institucional del CSIC
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Ver en: http://hdl.handle.net/10261/311641
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oai:digital.csic.es:10261/311641

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311644
Dataset. 2021

DATA FROM: GENOMIC EVIDENCE FOR GLOBAL OCEAN PLANKTON BIOGEOGRAPHY SHAPED BY LARGE-SCALE CURRENT SYSTEMS

  • Richter, Daniel J.
  • Watteaux, Romain
  • Vannier, Thomas
  • Leconte, Jade
  • Frémont, Paul
  • Reygondeau, Gabriel
  • Maillet, Nicolas
  • Henry, Nicolas
  • Benoit, Gaëtan
  • da Silva, Ophélie
  • Delmont, Tom O.
  • Fernández-Guerra, Antonio
  • Suweis, Samir
  • Narci, Romain
  • Berney, Cedric
  • Eveillard, Damien
  • Gavory, Frederick
  • Guidi, Lionel
  • Labadie, Karine
  • Mahieu, Eric
  • Poulain, Julie
  • Romac, Sarah
  • Roux, Simon
  • Dimier, Céline
  • Kandels‐Lewis, Stefanie
  • Picheral, Marc
  • Searson, Sarah
  • Oceans, Tara
  • Pesant, Stéphane
  • Aury, Jean‐Marc
  • Brum, Jennifer R.
  • Lemaitre, Claire
  • Pelletier, Eric
  • Bork, Peer
  • Sunagawa, Shinichi
  • Lombard, Fabien
  • Karp-Boss, Lee
  • Bowler, Chris
  • Sullivan, Matthew B.
  • Karsenti, Eric
  • Mariadassou, Mahendra
  • Probert, Ian
  • Peterlongo, Pierre
  • Wincker, Patrick
  • Vargas, Colomban de
  • Ribera d’Alcalà, Maurizio
  • Iudicone, Daniele
  • Jaillon, Olivier
  • Tara Oceans Coordinators
Supplementary Table 1. List of Tara Oceans samples sequenced with a metabarcoding (18S V9) approach and with a metagenomic approach, including identifiers for sequencing reads deposited in the DDBJ/ENA/GenBank Short Read Archives (SRA). [This Table is identical in version 2.] Supplementary Table 2. Table of environmental parameters for each sample. [This Table is identical in version 2.] Supplementary Table 3. Matrix of metagenomic dissimilarity for the 0-0.22 μm size fraction. [This Table is identical in version 2.] Supplementary Table 4. Matrix of metagenomic dissimilarity for the 0.22-1.6/3 μm size fraction. [This Table is identical in version 2.] Supplementary Table 5. Matrix of metagenomic dissimilarity for the 0.8-5 μm size fraction. [This Table is identical in version 2.] Supplementary Table 6. Matrix of metagenomic dissimilarity for the 5-20 μm size fraction. [This Table is identical in version 2.] Supplementary Table 7. Matrix of metagenomic dissimilarity for the 20-180 μm size fraction. [This Table is identical in version 2.] Supplementary Table 8. Matrix of metagenomic dissimilarity for the 180-2000 μm size fraction. [This Table is identical in version 2.] Supplementary Table 9. Matrix of OTU dissimilarity for the 0-0.22 μm size fraction. [This Table is identical in version 2.] Supplementary Table 10. Matrix of OTU dissimilarity for the 0.22-1.6/3 μm size fraction. [This Table is identical in version 2.] Supplementary Table 11. Matrix of OTU dissimilarity for the 0.8-5 μm size fraction. [This Table is identical in version 2.] Supplementary Table 12. Matrix of OTU dissimilarity for the 5-20 μm size fraction. [This Table is identical in version 2.] Supplementary Table 13. Matrix of OTU dissimilarity for the 20-180 μm size fraction. [This Table is identical in version 2.] Supplementary Table 14. Matrix of OTU dissimilarity for the 180-2000 μm size fraction. [This Table is identical in version 2.] Supplementary Table 15. Matrix of minimum travel time, in years. [This Table is identical in version 2.] Supplementary Table 16. Matrix of minimum geographic distance (without traversing land), in kilometers. [This Table is identical in version 2.] Supplementary Table 17. Matrix of imaging-based dissimilarity. [This Table is identical in version 2.] Supplementary Table 18. Matrix of metagenome-assembled genome (MAG)-based dissimilarity for the 20-180 μm size fraction. [The filename of this Table was modified from version 2. The contents of the Table are identical.] Supplementary Table 19. The cophenetic correlation coefficient for different methods of clustering metagenomic dissimilarity. [This Table is identical in version 2.] Supplementary Table 20. Baker's Gamma index comparing clustering results within size fractions. [This Table is identical in version 2.] Supplementary Table 21. Rand Index for K-means and spectral clustering, and multivariate ANOVA calculated by the adonis function. [This Table is identical in version 2.] Dataset 1. Reference database (in FASTA format) used to perform taxonomic assignment of metabarcodes. The header line of each reference V9 rDNA barcode (with a > sign) contains a unique identifier derived from GenBank accession number, followed by the taxonomic path associated to the reference barcode. [This Dataset is identical in version 2.] Dataset 2. V9 rDNA abundance at the metabarcode level. md5sum = unique identifier; totab = total abundance across all samples; cid = identifier of the OTU to which the barcode belongs (see Dataset 3); pid = best percentage identity to a barcode in Dataset 1; refs = identifier(s) of the best matching barcode(s) in Dataset 1; lineage = taxononmic lineage of the best match in Dataset 1; taxogroup = high-level taxonomic grouping of the best match in Dataset 1; sequence = V9 rDNA sequence; TV9_XXX = barcode abundance by sample (see Supplementary Table 1 for sample identifiers). [This Dataset is identical in version 2.] Dataset 3. V9 rDNA abundance at the OTU (operational taxonomic unit) level. cid = identifier of the OTU; md5sum = unique identifier of the most abundant barcode in the OTU; pid, refs, lineage, taxogroup, sequence = defined as in Dataset 2; rtotab = total abundance of the most abundant barcode in the OTU; ctotab = total abundance of all barcodes in the OTU; TV9_XXX = abundance by sample of all barcodes in the OTU (see Supplementary Table 1 for sample identifiers). [This Dataset is identical in version 2.] Dataset 4. Relative abundances of metagenome-assembled genomes (MAGs) in metagenomic samples from the 20-180 μm size fraction. [This Dataset is new in version 3.], Biogeographical studies have traditionally focused on readily visible organisms, but recent technological advances are enabling analyses of the large-scale distribution of microscopic organisms, whose biogeographical patterns have long been debated. Here we assessed the global structure of plankton geography and its relation to the biological, chemical and physical context of the ocean (the 'seascape') by analyzing metagenomes of plankton communities sampled across oceans during the Tara Oceans expedition, in light of environmental data and ocean current transport. Using a consistent approach across organismal sizes that provides unprecedented resolution to measure changes in genomic composition between communities, we report a pan-ocean, size-dependent plankton biogeography overlying regional heterogeneity. We found robust evidence for a basin-scale impact of transport by ocean currents on plankton biogeography, and on a characteristic timescale of community dynamics going beyond simple seasonality or life history transitions of plankton., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/311644
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311644
HANDLE: http://hdl.handle.net/10261/311644
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311644
PMID: http://hdl.handle.net/10261/311644
Digital.CSIC. Repositorio Institucional del CSIC
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Ver en: http://hdl.handle.net/10261/311644
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oai:digital.csic.es:10261/311644

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311645
Dataset. 2022

COLOUR MEASUREMENTS OF WING REFLECTANCE

  • Parmentier, Laurian
  • Vila, Roger
  • Lukhtanov, Vladimir
Explanation note: Deatails on colour measurements (methodology, processing) and generated data are given., Wing colour is an important trait for identification of butterflies and a species-specific characteristic (Bálint et al. 2012), an indicator of genetic variation (Wasik et al. 2014), and evidence of a changing population (Kertész et al. 2021). Observing fixed differences in wing colour of butterflies of different population can serve as a reliable tool for taxonomists for taxonomical identification (Bálint et al. 2010). Here we used colour measurements of dorsal wings of male Agrodiaetus to generate standardized RGB measurements of set specimens., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/311645
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311645
HANDLE: http://hdl.handle.net/10261/311645
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311645
PMID: http://hdl.handle.net/10261/311645
Digital.CSIC. Repositorio Institucional del CSIC
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Ver en: http://hdl.handle.net/10261/311645
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311645

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311646
Dataset. 2022

PHYLOGENY OF CONCATENATED COI+ITS2 SEQUENCES BASED ON NJ AND BI RECONSTRUCTIONS

  • Parmentier, Laurian
  • Vila, Roger
  • Lukhtanov, Vladimir
The Bayesian analysis and NJ analysis based on the concatenated matrix COI+ITS2. The NJ analysis was performed using with Tamura3-parameter+G (Kumar et al., 2018) as the optimal model. The Bayesian analysis was performed using the program MrBayes 3.2 (Ronquist et al. 2012) with default settings. See main text, Methods section, for detailed methodology description., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/311646
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311646
HANDLE: http://hdl.handle.net/10261/311646
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311646
PMID: http://hdl.handle.net/10261/311646
Digital.CSIC. Repositorio Institucional del CSIC
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Ver en: http://hdl.handle.net/10261/311646
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311646

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311647
Dataset. 2022

SUPPLEMENTARY INFORMATION "SPECIALIZED COMPOUNDS ACROSS ONTOGENY IN THE SEAGRASS POSIDONIA OCEANICA"

  • Hernán, Gema
  • Ortega, María J.
  • Tomàs, Fiona
8 pages. -- The file includes 3 tables and 5 figures. -- Table S1. Mean and standard error of the concentrations (mg of tartaric acid equivalents/g DW of plant) and percentages of specialized compounds and nutritional traits. -- Table S2. Results of Kruskal Wallis and Dunn tests on C and N of adult seagrass leaves and flowers (n=6), and seedling leaves (n=10). SD indicates seedling leaves, Finflorescences, L1 young leaves and L3 old leaves. In Dunn test, parentheses indicate that these tissues are not statistically different to the ones next to them. -- Table S3 Loading values of PCA from figure 2. -- Figure S1. Concentration (mg chicoric acid equivalents/g DW of plant) of total phenolic compounds expressed as the set of specific phenolic compounds from the different tissues analyzed; Inflorescences (F), young leaves (L1) and old leaves (L3) from non-reproductive plants, and young leaves (RL1) and old leaves (RL3) from reproductive plants, and seedling leaves (SD). Compounds labelled as 1 (chicoric acid), 2 (caffeoylferuloyltartaric acid), 5 (di-p-coumaroyltartaric acid,), 4 (coutaric acid,), and 3 (p-coumaroylcaffeoyltartaric acid). Error bars indicate standard error of total content of phenolic compounds. For F, L1, L3, RL1, RL3 n=6 for SD n=10. -- Figure S2. Pairwise correlation matrix of total phenolic compounds (TPC), C/N, C, N, 1 (chicoric acid), 2 (caffeoylferuloyltartaric acid), 3 (p-coumaroycaffeoyltartaric acid), 4 (coutaric acid), and 5 (di-p-coumaroyltartaric acid) from all analyzed tissues (inflorescences, young leaves, old leaves and leaves from seedlings). Numbers indicate Pearson correlation coefficients. -- Figure S3. Scheme of (A) adult Posidonia oceanica in reproductive stage and (B) seedling showing the different parts.-- Figure S4. Extracted ion chromatograms for compounds (1-5) and their MS/MS spectra. -- Figure S5. Diagnostic MS/MS fragmentation for compounds (1-5), Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/311647
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311647
HANDLE: http://hdl.handle.net/10261/311647
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311647
PMID: http://hdl.handle.net/10261/311647
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Ver en: http://hdl.handle.net/10261/311647
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Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311648
Dataset. 2022

SUPPLEMENTARY FILES OF THE ARTICLE "EXPERT-INDEPENDENT CLASSIFICATION OF MATURE B-CELL NEOPLASMS USING STANDARDIZED FLOW CYTOMETRY: A MULTICENTRIC STUDY" [DATASET]

  • Böttcher, Sebastian
  • Engelmann, Robby
  • Grigore, Georgiana Emilia
  • Fernández, Paula
  • Caetano, J.
  • Flores-Montero, Juan
  • Velden, Vincent H. J. van der
  • Novákova, Michaela
  • Philippé, J.
  • Ritgen, Matthias
  • Burgos, Leire
  • Lécrevisse, Quentin
  • Lange, Sandra
  • Kalina, Tomas
  • Verde, Javier
  • Fluxá, Rafael
  • Dongen, J. J. M. van
  • Pedreira, C. E.
  • Orfao, Alberto
Supplemental Table 1. Detailed biological and demographic features of patients. Supplemental Table 2: Composition of the EuroFlow B-CLPD panel Supplemental Table 3. Overview on the data analysis strategy within the scope of the main study Supplemental Table 4. Canonical coefficients for CA1 and CA2. Significance of contribution of individual parameters to the canonical axes CA1 and CA2 by differential diagnosis. V Supplemental Table 5. SD lines utilized as decision criterion per pair-wise differential diagnosis Supplemental Table 6. Medians (10th – 90th 309 percentile) of medFIs and of BT ratio, 3respectively, by parameter and entity (see Figure 3 for corresponding box plots) Supplemental Table 7. Monte Carlo cross-validation results Supplemental Table 8. Cases rejected prior to study inclusion Supplemental Table 9: Markers representing predominantly background signal (BS) by entity, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/311648
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311648
HANDLE: http://hdl.handle.net/10261/311648
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311648
PMID: http://hdl.handle.net/10261/311648
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Ver en: http://hdl.handle.net/10261/311648
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oai:digital.csic.es:10261/311648

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311649
Dataset. 2022

TABLE_4_MOLECULAR CHARACTERIZATION, TARGETING AND EXPRESSION ANALYSIS OF CHLOROPLAST AND MITOCHONDRION PROTEIN IMPORT COMPONENTS IN NICOTIANA BENTHAMIANA.DOCX

  • Saiz-Bonilla, María
  • Martín Merchán, Andrea
  • Pallás, Vicente
  • Navarro, José A.
Improved bioinformatics tools for annotating gene function are becoming increasingly available, but such information must be considered theoretical until further experimental evidence proves it. In the work reported here, the genes for the main components of the translocons of the outer membrane of chloroplasts (Toc) and mitochondria (Tom), including preprotein receptors and protein-conducting channels of N. benthamiana, were identified. Sequence identity searches and phylogenetic relationships with functionally annotated sequences such as those of A. thaliana revealed that N. benthamiana orthologs mainly exist as recently duplicated loci. Only a Toc34 ortholog was found (NbToc34), while Toc159 receptor family was composed of four orthologs but somewhat different from those of A. thaliana. Except for NbToc90, the rest (NbToc120, NbToc159A and NbToc159B) had a molecular weight of about 150 kDa and an acidic domain similar in length. Only two orthologs of the Tom20 receptors, NbTom20-1 and NbTom20-2, were found. The number of the Toc and Tom receptor isoforms in N. benthamiana was comparable to that previously reported in tomato and what we found in BLAST searches in other species in the genera Nicotiana and Solanum. After cloning, the subcellular localization of N. benthamiana orthologs was studied, resulting to be identical to that of A. thaliana receptors. Phenotype analysis after silencing together with relative expression analysis in roots, stems and leaves revealed that, except for the Toc and Tom channel-forming components (NbToc75 and NbTom40) and NbToc34, functional redundancy could be observed either among Toc159 or mitochondrial receptors. Finally, heterodimer formation between NbToc34 and the NbToc159 family receptors was confirmed by two alternative techniques indicating that different Toc complexes could be assembled. Additional work needs to be addressed to know if this results in a functional specialization of each Toc complex., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/311649
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311649
HANDLE: http://hdl.handle.net/10261/311649
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311649
PMID: http://hdl.handle.net/10261/311649
Digital.CSIC. Repositorio Institucional del CSIC
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Ver en: http://hdl.handle.net/10261/311649
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Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311650
Dataset. 2022

COASTAL FLOODING AND MEAN SEA-LEVEL RISE ALLOWANCES IN ATOLL ISLAND: SUPPLEMENTARY MATERIAL

  • Amores, Ángel
  • Marcos, Marta
  • Le Cozannet, Gonéri
  • Hinkel, Jochen
7 pages. -- The file includes 7 figures. -- Figure S1. Selection of the combination of Hs and Tp values used in the 1D SWASH numerical simulations. The density plot represents the frequency that a combination of Hs and Tp is given in the intertropical areas ( 25 latitude, region where most of the coral reef islands are found) of the CFSR hindcast CAWCR Global wind-wave data set[1]. The black contour represents the area containing the maximum frequency and enclosing 90% of the Hs and Tp combinations. Taking advantage of previous experience, the 60 different combinations used for the simulations (black dots) has been chosen to include the most frequent combination as well as the extremes following lines of constant Hs Tp (dotted contour lines). -- Figure S2. Dependence of the wave setup with: a) significant wave height multiplied by peak period; b) sea level; c) reef length; d) island height; and e) Manning’s roughness coefficient. The central value of each box plot represents the median value, the lower (upper) limit of the box is the 25% (75%) quantile and the whiskers show the range of values between the 5% and 95% quantiles. -- Figure S3. Sensitivity tests for adjusted wave setup parameters in equation 3. Each parameter is randomly changed by up to 5% of its value and the rest are adjusted. Histograms represent the results of the process repeated 10000 times. -- Figure S4. Dependence of the flooding with sea level and island height for incoming waves with Hs = 4m and Tp = 20s, a reef length of 500 m and a Manning friction coefficient of 0.1. The colorplot is a bi-linear interpolation from the 36 values (black dots) obtained from the numerical simulations. The horizontal thick black line indicates the flooding that an island with 1.65 m would suffer with sea-level rise is no action is taken. The dashed black line indicates the evolution of the island height with sea-level rise if present-day flooding is required to remain constant. Thin black line indicate the isoline of a useddefine flooding threshold (in this case 0.1m3/s). The intersection between this line and the horizontal line (that shows the island height) indicates the sea level at which the user defined flooding threshold is over-passed. -- Figure S5. Same as Fig. 4 but with a Manning friction coefficient of 0.05. -- Figure S6. Number of island wave-induced flooded by more than 0.1m3/s with 0.5 m of mean sea level under different return periods and for different Manning friction coefficient. The total number of flooded islands for each return period is highly dependent on the Manning coefficient. -- Figure S7. Comparison between the flooding results from our simulations (Manning friction coefficient fixes to 0.1) with the flooding threshold derived by [2] (black dashed line in each panel). Note that we used different mean sea levels while keeping constant to 1 m the reef depth, whereas [2] changed their reef depth (Dree f ) and kept mean sea level as a constant value. Thus, to perform the comparison we computed the different reef depths as 1 m plus the corresponding mean sea level value. Consequently, our island height is transformed as the original island height minus the sea level to be consistent. Colours (in logarithmic colour scale) indicate the volume of flooding (in m3/s per linear meter of coastline). Our flooding values above the threshold are always below 0.01 m2/s., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/311650
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311650
HANDLE: http://hdl.handle.net/10261/311650
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311650
PMID: http://hdl.handle.net/10261/311650
Digital.CSIC. Repositorio Institucional del CSIC
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Ver en: http://hdl.handle.net/10261/311650
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oai:digital.csic.es:10261/311650

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311651
Dataset. 2022

TABLE_3_MOLECULAR CHARACTERIZATION, TARGETING AND EXPRESSION ANALYSIS OF CHLOROPLAST AND MITOCHONDRION PROTEIN IMPORT COMPONENTS IN NICOTIANA BENTHAMIANA.DOCX

  • Saiz-Bonilla, María
  • Martín Merchán, Andrea
  • Pallás, Vicente
  • Navarro, José A.
Improved bioinformatics tools for annotating gene function are becoming increasingly available, but such information must be considered theoretical until further experimental evidence proves it. In the work reported here, the genes for the main components of the translocons of the outer membrane of chloroplasts (Toc) and mitochondria (Tom), including preprotein receptors and protein-conducting channels of N. benthamiana, were identified. Sequence identity searches and phylogenetic relationships with functionally annotated sequences such as those of A. thaliana revealed that N. benthamiana orthologs mainly exist as recently duplicated loci. Only a Toc34 ortholog was found (NbToc34), while Toc159 receptor family was composed of four orthologs but somewhat different from those of A. thaliana. Except for NbToc90, the rest (NbToc120, NbToc159A and NbToc159B) had a molecular weight of about 150 kDa and an acidic domain similar in length. Only two orthologs of the Tom20 receptors, NbTom20-1 and NbTom20-2, were found. The number of the Toc and Tom receptor isoforms in N. benthamiana was comparable to that previously reported in tomato and what we found in BLAST searches in other species in the genera Nicotiana and Solanum. After cloning, the subcellular localization of N. benthamiana orthologs was studied, resulting to be identical to that of A. thaliana receptors. Phenotype analysis after silencing together with relative expression analysis in roots, stems and leaves revealed that, except for the Toc and Tom channel-forming components (NbToc75 and NbTom40) and NbToc34, functional redundancy could be observed either among Toc159 or mitochondrial receptors. Finally, heterodimer formation between NbToc34 and the NbToc159 family receptors was confirmed by two alternative techniques indicating that different Toc complexes could be assembled. Additional work needs to be addressed to know if this results in a functional specialization of each Toc complex., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/311651
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311651
HANDLE: http://hdl.handle.net/10261/311651
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311651
PMID: http://hdl.handle.net/10261/311651
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311651
Ver en: http://hdl.handle.net/10261/311651
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311651

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