Resultados totales (Incluyendo duplicados): 35624
Encontrada(s) 3563 página(s)
Encontrada(s) 3563 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/355899
Dataset. 2024
SUPPORTING INFORMATION. BEYOND THE MESO/MACROPOROUS BOUNDARY: EXTENDING CAPILLARY CONDENSATION-BASED PORE SIZE CHARACTERIZATION IN THIN FILMS THROUGH TAILORED ADSORPTIVES
- Füredi, Máté
- Manzano, Cristina V.
- Marton, András
- Fodor, Bálint
- Alvarez-Fernandez, Alberto
- Guldin, Stefan
Detailed sample preparation procedures, physicochemical properties of adsorptives, schematic of capillary evaporation process in nanopores, top-view FE-SEM micrographs, measured and generated spectroscopic ellipsometric parameters, refractive index values of samples, effective refractive index calculation, measured ellipsometric parameter shifts recorded during nonane adsorption on all samples, preadsorbed liquid multilayer calculations, and thickness–relative pressure relationships of adsorbed multilayers., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/355899
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/355899
HANDLE: http://hdl.handle.net/10261/355899
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/355899
PMID: http://hdl.handle.net/10261/355899
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/355899
Ver en: http://hdl.handle.net/10261/355899
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/355899
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/355904
Dataset. 2022
DC-EPG RAW DATA ON EUROPEAN SPITTLEBUGS AND SHARPSHOOTERS FEEDING BEHAVIOUR ON GRAPEVINE
- Markheiser, Anna
- Santoiemma, Giacomo
- Fereres, Alberto
- Kugler, Sanela
- Maixner, Michael
- Cornara, Daniele
The Direct Current-Electrical Penetration Graph (DC-EPG) technique was used to compare and describe the feeding behaviour on grapevine of four xylem sap-feeding species considered candidate vectors of X. fastidiosa and widespread in Europe: the meadow spittlebug Philaenus spumarius, the spittlebug Neophilaenus campestris, the rhododendron leafhopper Graphocephala fennahi and the green leafhopper Cicadella viridis. The four species were settled on potted grapevine plants for a period of 6 hours and the feeding activities performed by these insects, from stylet insertion into the plant to withdrawal were recorded by DC-EPG coupled with Stylet+d software. Characteristic waveforms were marked with Stylet+a software and analysed by the macro XylFeed. The raw data of the sequential and non-sequential EPG parameters generated by the XylFeed are reported in this database as part of the connected publication., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/355904
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/355904
HANDLE: http://hdl.handle.net/10261/355904
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/355904
PMID: http://hdl.handle.net/10261/355904
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/355904
Ver en: http://hdl.handle.net/10261/355904
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/355904
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/355925
Dataset. 2023
DATA_SHEET_1_ENVIRONMENTAL FACTORS AND HOST GENOTYPE CONTROL FOLIAR EPIPHYTIC MICROBIAL COMMUNITY OF WILD SOYBEANS ACROSS CHINA.DOC
- Zhou, Rui
- Duan, Gui-Lan
- García-Palacios, Pablo
- Yang, Guang
- Cui, Hui-Ling
- Yan, Ming
- Yin, Yue
- Yi, Xing-Yun
- Li, Lv
- Delgado-Baquerizo, Manuel
- Zhu, Yong-Guan
Additional file contains: Figure S1-S7 and Table S1-S6., [Introduction] The microbiome inhabiting plant leaves is critical for plant health and productivity. Wild soybean (Glycine soja), which originated in China, is the progenitor of cultivated soybean (Glycine max). So far, the community structure and assembly mechanism of phyllosphere microbial community on G. soja were poorly understood., [Methods] Here, we combined a national-scale survey with high-throughput sequencing and microsatellite data to evaluate the contribution of host genotype vs. climate in explaining the foliar microbiome of G. soja, and the core foliar microbiota of G. soja were identified., [Results] Our findings revealed that both the host genotype and environmental factors (i.e., geographic location and climatic conditions) were important factors regulating foliar community assembly of G. soja. Host genotypes explained 0.4% and 3.6% variations of the foliar bacterial and fungal community composition, respectively, while environmental factors explained 25.8% and 19.9% variations, respectively. We further identified a core microbiome thriving on the foliage of all G. soja populations, including bacterial (dominated by Methylobacterium-Methylorubrum, Pantoea, Quadrisphaera, Pseudomonas, and Sphingomonas) and fungal (dominated by Cladosporium, Alternaria, and Penicillium) taxa., [Conclusion] Our study revealed the significant role of host genetic distance as a driver of the foliar microbiome of the wild progenitor of soya, as well as the effects of climatic changes on foliar microbiomes. These findings would increase our knowledge of assembly mechanisms in the phyllosphere of wild soybeans and suggest the potential to manage the phyllosphere of soya plantations by plant breeding and selecting specific genotypes under climate change., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/355925
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/355925
HANDLE: http://hdl.handle.net/10261/355925
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/355925
PMID: http://hdl.handle.net/10261/355925
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/355925
Ver en: http://hdl.handle.net/10261/355925
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/355925
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/355944
Dataset. 2024
SUPPLEMENTARY INFORMATION FOR PUBLICATION: CATION DYNAMICS AS STRUCTURE EXPLORER IN HYBRID PEROVSKITES – THE CASE OF MAPBI3
- Drużbick, Kacper
- Gila-Herranz, Pablo
- Marin-Villa, Pelayo
- Gaboardi, Mattia
- Armstrong, Jeff
- Fernández-Alonso, Félix
Experimental and computational details; additional computational results; possible cation rotations considered within the initial data set; benchmark of regular k-point grid used in DFT calculations; theoretical INS spectra; structural transformation upon symmetrization of selected structural models; phonon band structure; results of NpT AIMD simulations; schematic representation of rotational angles describing cation orientations; close contacts and structural distortions in the representative models., IKUR-PVP-1 data set., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/355944
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/355944
HANDLE: http://hdl.handle.net/10261/355944
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/355944
PMID: http://hdl.handle.net/10261/355944
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/355944
Ver en: http://hdl.handle.net/10261/355944
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/355944
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356005
Dataset. 2024
SUPPORTING INFO FOR “CHEMICAL BONDING INDUCES ONE DIMENSIONAL PHYSICS IN BULK CRYSTAL BIIR4SE8”
- Pollak, Connor J.
- Skorupskii, Grigorii
- Gutierrez-Amigo, Martin
- Singha, Ratnadwip
- Stiles, Joseph W.
- Kamm, Franziska
- Pielnhofer, Florian
- Ong, N. P.
- Errea, Ion
- Vergniory, Maia G.
- Schoop, Leslie M.
Crystallographic model information, band structure calculations, single-crystal diffraction precession images, and property measurements (Raman spectroscopy, X-ray photoemission spectroscopy, heat capacity)., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/356005
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356005
HANDLE: http://hdl.handle.net/10261/356005
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356005
PMID: http://hdl.handle.net/10261/356005
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356005
Ver en: http://hdl.handle.net/10261/356005
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356005
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356057
Dataset. 2024
SUPPLEMENTARY MATERIAL. GOLD NANOCLUSTERS SYNTHESIZED WITHIN SINGLE-CHAIN NANOPARTICLES AS CATALYTIC NANOREACTORS IN WATER
- Pinacho-Olaciregui, Jokin
- Verde-Sesto, Ester
- Taton, Daniel
- Pomposo, José A.
Figures S1–S5: Calibration curves for determination of the UV-Vis molar extinction coefficient of 4-nitrophenol, 4-aminophenol, nitrobenzene, cis-azobenzene and aniline; Figure S6: Apparent kinetic constant (kapp) of the reduction of nitrobenzene to aniline catalyzed by Au-NCs/SCNPs; Figures S7–S9: Calibration curves for determination of the UV-Vis molar extinction coefficient of 3-(4-nitrophenyl)-1,3-oxazolidin-2-one, (Z)-3,3′-(diazene-1,2-diylbis(4,1-phenylene))bis(oxazolidin-2-one) and 3-(4-aminophenyl)-1,3-oxazolidin-2-one; Figures S10–S13: 1H MNR spectra after isolation via preparative TCL of cis-azobenzene, aniline, (Z)-3,3′-(diazene-1,2-diylbis(4,1-phenylene))bis(oxazolidin-2-one) and 3-(4-aminophenyl)-1,3-oxazolidin-2-one., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/356057
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356057
HANDLE: http://hdl.handle.net/10261/356057
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356057
PMID: http://hdl.handle.net/10261/356057
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356057
Ver en: http://hdl.handle.net/10261/356057
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356057
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356089
Dataset. 2024
SUPPLEMENTARY INFORMATION FOR OPTIMIZING CAPACITANCE PERFORMANCE: SOLAR PYROLYSIS OF LIGNOCELLULOSIC BIOMASS FOR HOMOGENEOUS POROSITY IN CARBON PRODUCTION [DATASET]
- Lobato Peralta, Diego Ramón
- Arreola Ramos, Carlos E.
- Ayala Cortés, Alejandro
- Pacheco-Catalán, D.
- Robles, Miguel
- Guillén López, Alfredo
- Muñiz Soria, Jesús
- Okoye, Patrick U.
- Villafán, Heidi Isabel
- Arancibia Bulnes, Camilo A.
- Cuentas Gallegos, A. K.
S0.1.1. Simulations with Molecular Dynamics:
In the corresponding simulation box, the NVT ensemble was used to
calculate a fixed number of N atoms. To maintain this fixed number, the
isobaric ensemble was also considered. During the simulations, a time step
of 0.25 ×10−15 s was implemented. The ReaxFF methodology incorporates
a reactive force field (FF) to describe the chemical interactions in each system.
In the present work, the FF developed by Kim et al [1] was applied,
in which the interactions of the lignocellulosic components, namely carbon,
hydrogen, and oxygen are considered. This FF was implemented due to its
suitability for analogous lignocellulosic systems [2–4]. The MD calculations
were performed with the Large-scale Atomic/Molecular Massively Parallel
Simulator (LAMMPS) [5] computational code and the Reax-module. The
interactions among carbon atoms and the possible reactivity with the rest of
the components were studied with a distance-corrected Morse potential [6].
This potential incorporates the Van der Waals (vdW) dispersion description
and the computation of the bond orders (BO) to evaluate chemical interactions
through the pyrolysis process. In the computational simulation models,
the total energy of the system was calculated by Eq. 1:
Esystem = Ebond + Eover + Eunder + Elp + Eval + Etor + EvdW + ECoulomb (1). In Eq. 1, Ebond corresponds to the bonding energy, Eover refers to the
overcoordination stability, Eunder includes the energy to regulate the energy
of undercoordinated atoms, and the Elp term is the lone pair energy. The
Eval is termed the valence energy. The torsional energy among the atomic
components inside the system is Etor, while EvdW includes the description
of the vdW interactions. Additionally, the Coulomb energy is given by the
ECoulomb term in Eq. 1. Those atomic interactions with non-bonding nature
are fully described with a seventh-order function [7].
The morphology of the porous structure was theoretically modeled by
computing the pore size distribution (PSD) of the final carbon materials
resulting from the simulated pyrolysis. The calculations were performed with
the Zeo++ computational code [8], which is intended to map the geometry of
the pores via the Voronoi decomposition. The method incorporates a probe
molecule with a radius size of 1.79˚A to evaluate the volume accessible to
this probe. This radius corresponds to the approximate size of a nitrogen
molecule, which is used in the physisorption experiments.
The cellulose and hemicellulose precursors were studied as polymeric
models in accordance to Martínez-Casillas et al [4]. Such molecular components
were incorporated in the present work due to their successful incorporation
into analogous biomass systems. The massive model systems were
formed by tracking the specific rate contents for each lignocellulosic component
with the Packmol code [9]. It produces random distributions in a closed
simulation box with a side size of 140˚A, which is shown in Fig. 2 of the main text.
The model systems of the agave fibers BA and BAC are based upon the
experimental data, in which the following contents were found: 17% lignin,
38% cellulose, and 24% hemicellulose for BA, while for the latter, 13%, 44%
and 10% for lignin, cellulose and hemicellulose respectively for BAC. The remaining
components are byproducts, mainly ashes, which are not considered
in the present calculations. Such compositions were based on the NREL characterization
method implemented in the experiments [10]. To fulfill the total
content of the sample, the molecular models were further normalized. The
molecular weights of each model system were introduced to build the massive
molecular system depicted in Fig. 2 (a), depicted in the main text. The lignin
Adler’s model was set as the reference system, with a molecular weight of
2407.10 g/mol. The simulation box comprised 40 macromolecules and an accumulated
molecular weight of 96,284 g/mol. It was then fixed as 24% of the
complete molecular weight of the lignocellulosic components, after normalization.
The polymer models for cellulose and hemicellulose corresponded to
normalized contents of 45% and 31% [11]. Consequently, molecular weights
of 180,532.5 g/mol and 124,366.83 g/mol for these two components, respectively,
were considered for the BA model. In terms of polymer units, 69
hemicellulose and 109 cellulose units were introduced. The BAC model was
also normalized by using the same criteria. The pyrolysis processes were
evaluated with two different heating rates; namely, at 0.027 K/fs, and also at
a slower rate of 0.005 K/fs for selected cases. The top temperature at which. the pyrolysis simulations were performed corresponds to the temperatures
of 500 °C and 700 °C, which were reached with the experimental procedure
[3, 4].
These temperatures remained constant upon annealing during 100,000
steps with a step size of 0.25 fs. When this stage of the simulation is finalized,
a quenching process was applied to meet the initial room temperature of 300
K. A subsequent series of 50,000 MD steps at this fixed temperature evolved
the system to reach a thermal equilibrium. It is worth mentioning that a
methodology to compute the pressure values in annealing conditions, as that
developed byWang et al [12] was impossible to incorporate in the simulations,
since the vdW equation of state was applied.
S0.1.2. Radial distribution function computation
The X-ray diffraction data obtained between 2θ of 1° to 120° was used to
compute the radial distribution function (RDF) that is aimed to elucidate
the crystal structure of solids or amorphous materials [13]. The RDF is given
in accordance with the eq. 2:
G(r) = 4πrρ0[g(r) − 1] (2)
in which r stands for the radial distance, and ρ0 is the atomic number
density in average. Finally, the term g(r) corresponds to the macroscopic
atomic pair density [13]. The physical significance of eq. 2 corresponds to
the distribution of probability to find atomic pairs at a certain distance r. Moreover, G(r) is further assessed with a sine Fourier transform. It refers to
the reciprocal space of the structure factor S(Q), containing the scattering
structure distribution that comes from the experimental XRD data. Using
the structure factor, Eq. 2 is re-written as:
G(r) = 2/π Z ∞ 0 Q[S(Q) − 1] sin (Qr)dQ (3)
Upon combination of eq. 2 and 3, the RDF can be obtained as given by
g(r). Such values were found with the aid of the PDFGETX2 computational
code [14]. The G(r) function was assessed via a Fourier transform using
the structure factor S(Q) as input. A value of 16.0˚A−1 was used as the
Qmax parameter [1] to apply the Fourier transform. As a final statistical
treatment, the PDFGUI code was implemented to adjust the experimental
RDF. The PDFGUI is a software with a user graphical interface based upon
the PDFFIT2 computational code [15]. The software requires a starting
guess to refine the structural data such as atomic positions, lattice constants,
correlated atomic motion, and anisotropic atomic displacement.
S0.1.3. Envelope Density assessment
The envelope density methodology [16] was used to evaluate the densities
of the final carbon materials. This study was intended to compare the
densities given in the experiment with those computed with the theoretical
approach. The ratio of the carbon material to the total volume is defined
as the envelope density, and it was used in the experimental analysis. It is worth mentioning that a volume of 0.2mL was considered in the evaluation,
which is given by Corning Inc. PCR R®tubes.-- Under a Creative Commons license BY-NC-ND 4.0, A full description of computational details related to molecular dynamics, radial distribution function computation, and Envelope Density assessment, along with experimental results concerning SEM images of group I and group II carbon materials.-- S0.1. Computational Details: S0.1.1. Simulations with Molecular Dynamics. S0.1.2. Radial distribution function computation. S0.1.3. Envelope Density assessment. S0.2. Complementary experimental results, The financial support for this work was provided by DGAPA-PAPIIT-UNAM through the projects IG100217, IG100923, IN106122 and IA102522. [...]. D.R. Lobato-Peralta and A. Ayala-Cortés received Ph.D. fellowships from the Consejo Nacional de Humanidades, Ciencias Tecnologías (CONAHCYT). J.M. thanksthe financial support of Fondo Sectorial de Investigación para la Educación-CONAHCYT under project No. A1-S-13294, and Fronteras de la Ciencia-CONAHCYT under Project No. 21077. J.M. also acknowledges the computational infrastructure provided by Laboratorio Nacional de Conversión Almacenamiento de Energía (CONAHCYT) under project No. 270810, as well as the UNAM Supercomputing Department for the computing resources under Project No. LANCAD-UNAM-DGTIC- 370 and LANCAD-UNAM- DGTIC-310. The computing time in an AWS EC2 instance is also acknowledged, which was granted under Project No. 8 of the DGTIC-AWS initiative., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/356089
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356089
HANDLE: http://hdl.handle.net/10261/356089
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356089
PMID: http://hdl.handle.net/10261/356089
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356089
Ver en: http://hdl.handle.net/10261/356089
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oai:digital.csic.es:10261/356089
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356776
Dataset. 2024
MEASURES OF RHIZOSTOMA PULMO EPHYRAE STATOLITHS SYNTHESIZED UNDER WARMING AND OCEAN ACIDIFICATION CONDITIONS (IPCC SSP5-8.5 SCENARIO)
- León Cobo, Manuel Jesús
The dataset provides Rhizostoma pulmo newly released ephyrae statoliths measurements., The data set is provided as an Excel file within a compressed folder that also includes a single README file (in text format) containing a detailed description of the data structure., [METHODOLOGY] Description of methods used for collection/generation of data: Six combinations of temperature and PCO2 (18, 24 and 30ºC with a PCO2 of 500 and 1000 ppm each) were applied during 32 days to different groups of polyps of Rhizostoma pulmo. From the released ephyrae during this period, three specimens from each treatment were randomly taken. From each ephyra, three of its eight statocysts were randomly selected and all the statoliths inside were counted and measured via inverted optical microscopy.-- Methods for processing the data: Data were analyzed using RStudio software. To obtain the variable "volume", its values were obtained using the formula for the volume of a regular hexagonal prism., This data set includes data collected from ICMAN-CSIC (Spain), consisting of measurements of the size and number of the statoliths present in newly released Rhizostoma pulmo ephirae under conditions of oceanic warming and acidification (IPCC SSP5-8.5 scenario). From each ephyra, three of its eight statocysts were randomly selected and all the statoliths inside were counted and measured., This research was funded by the Spanish Ministerio de Economía y Competitividad (grant number CTM2016-75487-R “Respuesta de medusas mediterráneas al efecto interactivo de motores climáticos de impacto: supervivencia en un Mediterráneo más cálido y ácido”, proyect MED2CA), CSIC (grant number 202330E57 “Estudio de los efectos de motores de impacto del cambio climático sobre las dinámicas poblacionales de medusas mediterráneas”) and the Project Agreement “Detección de medusas en el mar Balear y su relación con las condiciones ambientales: hacia el desarrollo de un sistema de predicción pre-operacional” among Govern des Illes Balears, SOCIB and CSIC (Disposición 15052 del BOE núm. 310 de 2020). It was also financially sustainned by a Ph.D. fellowship (FPU22/03487) from the Spanish Ministerio de Ciencia, Innovación y Universidades., Peer reviewed
Proyecto: MINECO//CTM2016-75487-R
DOI: http://hdl.handle.net/10261/356776, https://doi.org/10.20350/digitalCSIC/16261
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356776
HANDLE: http://hdl.handle.net/10261/356776, https://doi.org/10.20350/digitalCSIC/16261
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356776
PMID: http://hdl.handle.net/10261/356776, https://doi.org/10.20350/digitalCSIC/16261
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356776
Ver en: http://hdl.handle.net/10261/356776, https://doi.org/10.20350/digitalCSIC/16261
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356776
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356104
Dataset. 2024
SUPPORTING INFORMATION FOR KONDO EFFECT OF CO-PORPHYRIN: REMARKABLE SENSITIVITY TO ADSORPTION SITES AND ORIENTATIONS
- Meng, Xiangzhi
- Möller, Jenny
- Menchón, Rodrigo E.
- Weismann, Alexander
- Sánchez-Portal, Daniel
- Garcia-Lekue, Aran
- Herges, Rainer
- Berndt, Richard
STM topographs and dI/dV spectra of molecules within molecular layers, dI/dV spectra of a wide voltage range, additional DFT results, an explanation of the Green function approach used to estimate TK, and a description of the synthesis of CoTPPBr2I2., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/356104
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356104
HANDLE: http://hdl.handle.net/10261/356104
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356104
PMID: http://hdl.handle.net/10261/356104
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356104
Ver en: http://hdl.handle.net/10261/356104
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oai:digital.csic.es:10261/356104
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356133
Dataset. 2023
INHIBITION OF SLSKOR BY SLCIPK23-SLCBL1/9 UNCOVERS CIPK-CBL-TARGET NETWORK REWIRING IN LAND PLANTS. SUPPORTING INFORMATION
- Nieves-Cordones, Manuel
- Amo Pérez, Jesús
- Hurtado-Navarro, María
- Martínez-Martínez, Almudena
- Martínez, Vicente
- Rubio, Francisco
Figure S1. Phylogenetic tree of voltage-gated K+ channel protein sequences from tomato and Arabidopsis and expression of SlK5.1 and SlK5.2 in tomato plants. Figure S2. Generation of slskor KO mutants with the CRISPR-Cas system. Figure S3. Phylogenetic tree of S-type anion channel protein sequences from tomato and Arabidopsis and gene expression in tomato roots. Figure S4. slskor plants exhibited increased Na+ and Cl- content in shoots under salt stress. Figure S5. Protein sequence alignment of AtSKOR and SlSKOR. Figure S6. Phylogenetic tree of CIPK protein sequences from tomato and Arabidopsis. Figure S7. Effect of SlCIPK9+SlCBL1 and SlCIPK2+SlCBL1 on SlSKOR activity. Table S1. Primers used in this study Table S2. Fold-change values in qRT-PCR experiments. Methods S1. Selection of homolog proteins and calculation of SlSKOR functional parameters. Dataset 1. Data supporting the findings of this study, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/356133
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356133
HANDLE: http://hdl.handle.net/10261/356133
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356133
PMID: http://hdl.handle.net/10261/356133
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/356133
Ver en: http://hdl.handle.net/10261/356133
Digital.CSIC. Repositorio Institucional del CSIC
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