Resultados totales (Incluyendo duplicados): 35683
Encontrada(s) 3569 página(s)
Encontrada(s) 3569 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330579
Dataset. 2022
DATA_SHEET_1_ASSOCIATION MAPPING OF LATHYRUS SATIVUS DISEASE RESPONSE TO UROMYCES PISI REVEALS NOVEL LOCI UNDERLYING PARTIAL RESISTANCE.DOCX
- Martins, Davide Coelho
- Rubiales, Diego
- Vaz Patto, María Carlota
Figure S1. Quantile-Quantile (QQ) plots of the observed versus expected p-values of the GWAS results related to U. pisi inoculation experiments, using a model accounting for population structure (Eigen), a model accounting for familiar relatedness (Kinship), and a naïve model., Uromyces pisi ([Pers.] D.C.) Wint. is an important foliar biotrophic pathogen infecting grass pea (Lathyrus sativus L.), compromising their yield stability. To date, few efforts have been made to assess the natural variation in grass pea resistance and to identify the resistance loci operating against this pathogen, limiting its efficient breeding exploitation. To overcome this knowledge gap, the genetic architecture of grass pea resistance to U. pisi was investigated using a worldwide collection of 182 accessions through a genome-wide association approach. The response of the grass pea collection to rust infection under controlled conditions and at the seedling stage did not reveal any hypersensitive response but a continuous variation for disease severity, with the identification of promising sources of partial resistance. A panel of 5,651 high-quality single-nucleotide polymorphism (SNP) markers previously generated was used to test for SNP-trait associations, based on a mixed linear model accounting for population structure. We detected seven SNP markers significantly associated with U. pisi disease severity, suggesting that partial resistance is oligogenic. Six of the associated SNP markers were located in chromosomes 4 and 6, while the remaining SNP markers had no known chromosomal position. Through comparative mapping with the pea reference genome, a total of 19 candidate genes were proposed, encoding for leucine-rich repeat, NB-ARC domain, and TGA transcription factor family, among others. Results presented in this study provided information on the availability of partial resistance in grass pea germplasm and advanced our understanding of the molecular mechanisms of quantitative resistance to rust in grass pea. Moreover, the detected associated SNP markers constitute promising genomic targets for the development of molecular tools to assist disease resistance precision breeding., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/330579
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330579
HANDLE: http://hdl.handle.net/10261/330579
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330579
PMID: http://hdl.handle.net/10261/330579
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330579
Ver en: http://hdl.handle.net/10261/330579
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330579
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330581
Dataset. 2022
DATA_SHEET_3_DESIGNING A SYNTHETIC MICROBIAL COMMUNITY DEVOTED TO BIOLOGICAL CONTROL: THE CASE STUDY OF FUSARIUM WILT OF BANANA.ZIP
- Prigigallo, Maria Isabella
- Gómez-Lama Cabanás, Carmen
- Mercado-Blanco, Jesús
- Bubici, Giovanni
Fusarium oxysporum f. sp. cubense (Foc) tropical race 4 (TR4) is threatening banana production because of its increasing spread. Biological control approaches have been widely studied and constitute interesting complementary measures to integrated disease management strategies. They have been based mainly on the use of single biological control agents (BCAs). In this study, we moved a step forward by designing a synthetic microbial community (SynCom) for the control of Fusarium wilt of banana (FWB). Ninety-six isolates of Pseudomonas spp., Bacillus spp., Streptomyces spp., and Trichoderma spp. were obtained from the banana rhizosphere and selected in vitro for the antagonism against Foc TR4. In pot experiments, a large community such as SynCom 1.0 (44 isolates with moderate to high antagonistic activity) or a small one such as SynCom 1.1 (seven highly effective isolates) provided similar disease control (35% symptom severity reduction). An in vitro study of the interactions among SynCom 1.1 isolates and between them and Foc revealed that beneficial microorganisms not only antagonized the pathogen but also some of the SynCom constituents. Furthermore, Foc defended itself by antagonizing the beneficial microbes. We also demonstrated that fusaric acid, known as one of the secondary metabolites of Fusarium species, might be involved in such an interaction. With this knowledge, SynCom 1.2 was then designed with three isolates: Pseudomonas chlororaphis subsp. piscium PS5, Bacillus velezensis BN8.2, and Trichoderma virens T2C1.4. A non-simultaneous soil application of these isolates (to diminish cross-inhibition) delayed FWB progress over time, with significant reductions in incidence and severity. SynCom 1.2 also performed better than two commercial BCAs, BioPak® and T-Gro. Eventually, SynCom 1.2 isolates were characterized for several biocontrol traits and their genome was sequenced. Our data showed that assembling a SynCom for biocontrol is not an easy task. The mere mixtures of antagonists (e.g., SynCom 1.0 and 1.1) might provide effective biocontrol, but an accurate investigation of the interactions among beneficial microorganisms is needed to improve the results (e.g., SynCom 1.2). SynCom 1.2 is a valuable tool to be further developed for the biological control of FWB., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/330581
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330581
HANDLE: http://hdl.handle.net/10261/330581
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330581
PMID: http://hdl.handle.net/10261/330581
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330581
Ver en: http://hdl.handle.net/10261/330581
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330581
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330582
Dataset. 2022
DATA_SHEET_2_DESIGNING A SYNTHETIC MICROBIAL COMMUNITY DEVOTED TO BIOLOGICAL CONTROL: THE CASE STUDY OF FUSARIUM WILT OF BANANA.ZIP
- Prigigallo, Maria Isabella
- Gómez-Lama Cabanás, Carmen
- Mercado-Blanco, Jesús
- Bubici, Giovann
Fusarium oxysporum f. sp. cubense (Foc) tropical race 4 (TR4) is threatening banana production because of its increasing spread. Biological control approaches have been widely studied and constitute interesting complementary measures to integrated disease management strategies. They have been based mainly on the use of single biological control agents (BCAs). In this study, we moved a step forward by designing a synthetic microbial community (SynCom) for the control of Fusarium wilt of banana (FWB). Ninety-six isolates of Pseudomonas spp., Bacillus spp., Streptomyces spp., and Trichoderma spp. were obtained from the banana rhizosphere and selected in vitro for the antagonism against Foc TR4. In pot experiments, a large community such as SynCom 1.0 (44 isolates with moderate to high antagonistic activity) or a small one such as SynCom 1.1 (seven highly effective isolates) provided similar disease control (35% symptom severity reduction). An in vitro study of the interactions among SynCom 1.1 isolates and between them and Foc revealed that beneficial microorganisms not only antagonized the pathogen but also some of the SynCom constituents. Furthermore, Foc defended itself by antagonizing the beneficial microbes. We also demonstrated that fusaric acid, known as one of the secondary metabolites of Fusarium species, might be involved in such an interaction. With this knowledge, SynCom 1.2 was then designed with three isolates: Pseudomonas chlororaphis subsp. piscium PS5, Bacillus velezensis BN8.2, and Trichoderma virens T2C1.4. A non-simultaneous soil application of these isolates (to diminish cross-inhibition) delayed FWB progress over time, with significant reductions in incidence and severity. SynCom 1.2 also performed better than two commercial BCAs, BioPak® and T-Gro. Eventually, SynCom 1.2 isolates were characterized for several biocontrol traits and their genome was sequenced. Our data showed that assembling a SynCom for biocontrol is not an easy task. The mere mixtures of antagonists (e.g., SynCom 1.0 and 1.1) might provide effective biocontrol, but an accurate investigation of the interactions among beneficial microorganisms is needed to improve the results (e.g., SynCom 1.2). SynCom 1.2 is a valuable tool to be further developed for the biological control of FWB., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/330582
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330582
HANDLE: http://hdl.handle.net/10261/330582
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330582
PMID: http://hdl.handle.net/10261/330582
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330582
Ver en: http://hdl.handle.net/10261/330582
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330582
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330583
Dataset. 2022
SUPPORTING INFORMATION PH-TRIGGERED REMOVAL OF NITROGENOUS ORGANIC MICROPOLLUTANTS FROM WATER BY USING METAL-ORGANIC POLYHEDRA
- Hernández-López, Laura
- Cortés Martínez, Alba
- Parella, Teodor
- Carné-Sánchez, Arnau
- Maspoch, Daniel
85 pages. -- PDF file contents: S1. Materials and experimental methods; S1.1. Material; S1.2. Experimental methods; S1.2.1. Synthesis of COOHRhMOP/COONaRhMOP; S1.2.2. pH-triggered pollutant removal methodology; S2. COOHRhMOP viability for pollutant removal; S2.1. Precipitation tests; S3. Coordination tests of benzotriazole and optimization of the pollutant removal cycle; S3.1. Coordination tests; S3.2. Benzotriazole quantification. Calibration curve; S3.3. Removal efficiency calculation. General methodology; S3.4. Blank experiments; S3.5 Optimization of the precipitation pH; S3.6 Interaction pH; S3.7 Impact of pollutant diffusion constrains on the removal efficiency; S3.7.1 Time-dependent uptake tests in homogeneous conditions; 3.7.2 Time-dependent uptake tests in heterogeneous conditionsS3.8 Removal performance at different concentrations. Uptake curve; S3.9 Regeneration and reusability of COONaRhMOP; S3.10 Stability test; S3.11 Implementation of filtration to the pH-triggered pollutant removal methodology; S3.12 Removal of benzotriazole from tap water; S.4. Expanding the scope. Removal of pollutants containing pH-sensitive coordinating groups; S.4.1 Optimization of the precipitation pH; S.4.2. Benzothiazole removal; S.4.2.1. Benzothiazole coordination test; S.4.2.2. Benzothiazole quantification. Calibration curve; S.4.2.3. Blank experiment; S.4.2.4. Removal performance at different concentrations. Uptake curve; S.4.2.5. Regeneration and reusability of COONaRhMOP; S.4.2.6. Stability test; S.4.3. Naphthylamine removal; S.4.3.1. Naphthylamine coordination test; S.4.3.2. Naphthylamine quantification. Calibration curve; S.4.3.3. Blank experiment; S.4.3.4. Removal performance at different concentrations. Uptake curve; S.4.3.5. Regeneration and reusability of COONaRhMOP; S.4.3.6. Stability test; S.4.4. Isoquinoline removal; S.4.4.1. Isoquinoline coordination test; S.4.3.2. Isoquinoline quantification. Calibration curve; S.4.4.3. Blank experiment; S.4.4.4. Removal performance at different concentrations. Uptake curve; S.4.4.5. Regeneration and reusability of COONaRhMOP; S.4.4.6. Stability test; S.5. Simultaneous removal of multiple nitrogenous organic micropollutants from an aqueous solution; S.5.1. Coordination test; S.5.2. Removal performance; S.5.3; Regeneration of COONaMOP; S.5.4. Stability test., ICN2 is supported by the Severo Ochoa programme from the Spanish MINECO (grant no. SEV-2017-0706)., Peer reviewed
Proyecto: AEI//SEV-2017-0706
DOI: http://hdl.handle.net/10261/330583
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330583
HANDLE: http://hdl.handle.net/10261/330583
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330583
PMID: http://hdl.handle.net/10261/330583
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330583
Ver en: http://hdl.handle.net/10261/330583
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330583
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330584
Dataset. 2022
DATA_SHEET_1_DESIGNING A SYNTHETIC MICROBIAL COMMUNITY DEVOTED TO BIOLOGICAL CONTROL: THE CASE STUDY OF FUSARIUM WILT OF BANANA.ZIP
- Prigigallo, Maria Isabella
- Gómez-Lama Cabanás, Carmen
- Mercado-Blanco, Jesús
- Bubici, Giovanni
Fusarium oxysporum f. sp. cubense (Foc) tropical race 4 (TR4) is threatening banana production because of its increasing spread. Biological control approaches have been widely studied and constitute interesting complementary measures to integrated disease management strategies. They have been based mainly on the use of single biological control agents (BCAs). In this study, we moved a step forward by designing a synthetic microbial community (SynCom) for the control of Fusarium wilt of banana (FWB). Ninety-six isolates of Pseudomonas spp., Bacillus spp., Streptomyces spp., and Trichoderma spp. were obtained from the banana rhizosphere and selected in vitro for the antagonism against Foc TR4. In pot experiments, a large community such as SynCom 1.0 (44 isolates with moderate to high antagonistic activity) or a small one such as SynCom 1.1 (seven highly effective isolates) provided similar disease control (35% symptom severity reduction). An in vitro study of the interactions among SynCom 1.1 isolates and between them and Foc revealed that beneficial microorganisms not only antagonized the pathogen but also some of the SynCom constituents. Furthermore, Foc defended itself by antagonizing the beneficial microbes. We also demonstrated that fusaric acid, known as one of the secondary metabolites of Fusarium species, might be involved in such an interaction. With this knowledge, SynCom 1.2 was then designed with three isolates: Pseudomonas chlororaphis subsp. piscium PS5, Bacillus velezensis BN8.2, and Trichoderma virens T2C1.4. A non-simultaneous soil application of these isolates (to diminish cross-inhibition) delayed FWB progress over time, with significant reductions in incidence and severity. SynCom 1.2 also performed better than two commercial BCAs, BioPak® and T-Gro. Eventually, SynCom 1.2 isolates were characterized for several biocontrol traits and their genome was sequenced. Our data showed that assembling a SynCom for biocontrol is not an easy task. The mere mixtures of antagonists (e.g., SynCom 1.0 and 1.1) might provide effective biocontrol, but an accurate investigation of the interactions among beneficial microorganisms is needed to improve the results (e.g., SynCom 1.2). SynCom 1.2 is a valuable tool to be further developed for the biological control of FWB., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/330584
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330584
HANDLE: http://hdl.handle.net/10261/330584
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330584
PMID: http://hdl.handle.net/10261/330584
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330584
Ver en: http://hdl.handle.net/10261/330584
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330584
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330586
Dataset. 2022
SUPPORTING INFORMATION OF THE ARTICLE TAILORING OF THE PHOTOCATALYTIC ACTIVITY OF CEO2 NANOPARTICLES BY THE PRESENCE OF PLASMONIC AG NANOPARTICLES
- Zhao, Shuang
- Riedel, Marc
- Patarroyo, Javier
- Bastús, Neus G.
- Puntes, Víctor F.
- Yue, Zhao
- Lisdat, Fred
- Parak, Wolfgang J.
14 pages. -- PDF file contents figures and additional information: Additional nanoparticle characterization. -- Surface coverage of nanoparticles on gold electrodes. -- Additional photocurrent measurements. -- Numbers for the sketch of the band levels., ICN2 is supported by the Severo Ochoa program from Spanish MINECO (SEV-2017-0706) and is funded by the CERCA Programme/Generalitat de Catalunya., Peer reviewed
Proyecto: AEI//SEV-2017-0706
DOI: http://hdl.handle.net/10261/330586
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330586
HANDLE: http://hdl.handle.net/10261/330586
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330586
PMID: http://hdl.handle.net/10261/330586
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330586
Ver en: http://hdl.handle.net/10261/330586
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330586
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330587
Dataset. 2022
SUPPLEMENTAL DATA: DEVELOPMENT AND CAROTENOID SYNTHESIS IN DARK-GROWN CARROT TAPROOTS REQUIRE PHYTOCHROME RAPIDLY REGULATED1
- Arias, Daniela
- Ortega, Angélica
- González-Calquin, Christian
- Quiroz, Luis F.
- Moreno-Romero, Jordi
- Martínez-García, Jaime F.
- Stange, Claudia R.
Supplemental Table S1. Primers used in this work.
Supplemental Figure S1. Expression of DcPAR1 in carrot lines overexpressing AtPAR1.
Supplemental Figure S2. Sequences of contig 42.760 (Arias et al., 2020) and complete CDS of the DcPAR1 gene (access number XM_017390696.1).
Supplemental Figure S3. Subcellular localization of DcPAR1:GFP.
Supplemental Figure S4. Sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS–PAGE) of Arabidopsis DcPAR1 transgenic lines.
Supplemental Figure S5. Phenotypic analysis of 2-week-old Arabidopsis transgenic lines that overexpress DcPAR1.
Supplemental Figure S6. Transgenic selection of DcPAR1as carrot lines.
Supplemental Figure S7. Root length of Arabidopsis seedlings with reduced levels in AtPAR1 and AtPAR2.
Supplemental Figure S8. Total carotenoids in leaves of carrot lines overexpressing AtPAR1., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/330587
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330587
HANDLE: http://hdl.handle.net/10261/330587
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330587
PMID: http://hdl.handle.net/10261/330587
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330587
Ver en: http://hdl.handle.net/10261/330587
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330587
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330588
Dataset. 2022
SUPPLEMENTARY MATERIAL FOR DETECTING XYLELLA FASTIDIOSA IN A MACHINE LEARNING FRAMEWORK USING VCMAX AND LEAF BIOCHEMISTRY QUANTIFIED WITH AIRBORNE HYPERSPECTRAL IMAGERY
- Camino, Carlos
- Araño, K.
- Berni, J. A.
- Dierkes, H.
- Trapero Casas, José Luis
- León-Ropero, Guillermo
- Montes Borrego, Miguel
- Román Ecija, Miguel
- Velasco-Amo, María Pilar
- Landa, Blanca B.
- Navas Cortés, Juan Antonio
- Beck, P. S. A.
Fig S1 showing two almond orchards placed under irrigated and rainfed conditions.
Fig S2 showing the Xylella fastidiosa disease severity (DS) classes on almond trees during the field inspection.
Fig S3 showing the optical handheld devices using during the leaf measurements.
Fig S4 showing the air temperature, vapor pressure deficit, relative humidity and rainfall recorded from meteorological station near to studied almond orchards.
Fig S5 showing the tree-crown segmentation in a single almond orchard.
Fig. S6 showing a spatial distribution of predicted total nitrogen concentration (%) in almond orchards under rainfed conditions.
Fig. S7 showing boxplots of predicted Cw, LIDFa and tree-crown temperature as a function of the tree-based disease severity.
Fig. S8 showing a spatial distribution of predicted anthocyanin content in almond orchards under rainfed conditions.
Fig. S10 showing boxplots of predicted Cab, Anth, Vcmax and nitrogen in trees placed in references orchards without Xf infection and orchard affected Xf.
Fig. S11 showing boxplots of tree-crown temperature, and predicted LAI in trees placed in references orchards without Xf infection and orchard affected Xf.
Fig. S12-S18 showing relationships between predicted plant traits against spectral indices and leaf measurements carried out during the field campaign.
Table S1. Overall accuracy and Cohen’s kappa coefficient yielded in the tree-crown segmentation using the SVM model.
Table S2 showing the average plant-trait contribution (in %) for the three ML models (RF, GB, and XGB) for detecting Xylella fastidiosa symptoms in trees placed in orchards with/ without irrigation systems.
Table S3-S7. Main set-ups of the best machine learning models developed in the operational machine learning framework to retrieve plant traits.
Table S8. Skill scores obtained in CARS-SVM methods for retrieving Ntotal using the testing leaf samples.
Table S9. Analysis of two-way ANOVA for the main plant traits for different stress factors., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/330588
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330588
HANDLE: http://hdl.handle.net/10261/330588
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330588
PMID: http://hdl.handle.net/10261/330588
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330588
Ver en: http://hdl.handle.net/10261/330588
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330588
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330592
Dataset. 2022
SUPPORTING INFORMATION FOR EXPLORING THE OVINE SPERM TRANSCRIPTOME BY RNASEQ TECHNIQUES. I EFFECT OF SEASONAL CONDITIONS ON TRANSCRIPTS ABUNDANCE
- Ureña, Irene
- González, Carmen
- Ramón, Manuel
- Gòdia, Marta
- Clop, Alex
- Calvo, Jorge Hugo
- Carabaño Luengo, María Jesús
- Serrano Noreña, Magdalena
ZIMB-Wdoi.orgaVE model with and without run as sample-level covariate.
S1 Fig. ZIMB-WaVE model with and without run as sample-level covariate.
a) with climatic condition (control (O) and heat stress (J) as sample-level covariate and b) with climatic condition and run as sample-level covariates. In both cases K = 2, épsilon = 104, V = 1.
S1 Table. Sequencing summary.
S2 Table. Genes and transcripts detected in rams’ sperm samples.
S4 Table. Significant GO terms for all genes/transcripts detected in rams’ sperm samples.
S5 Table. IPA analysis of all genes/transcripts detected in rams’ sperm samples.
S6 Table. DA genes between sperm samples collected in variable climatic conditions and GSEA analysis.
S7 Table. IPA analysis of DA genes between samples collected in variable climatic conditions., S1 Fig. ZIMB-WaVE model with and without run as sample-level covariate.
a) with climatic condition (control (O) and heat stress (J) as sample-level covariate and b) with climatic condition and run as sample-level covariates. In both cases K = 2, épsilon = 104, V = 1., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/330592
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330592
HANDLE: http://hdl.handle.net/10261/330592
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330592
PMID: http://hdl.handle.net/10261/330592
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330592
Ver en: http://hdl.handle.net/10261/330592
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330592
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330593
Dataset. 2022
SUPPORTING INFORMATION FOR ADV. MATER., DOI: 10.1002/ADMA.202203071 TOP-LAYER ENGINEERING RESHAPES CHARGE TRANSFER AT POLAR OXIDE INTERFACES
- Luca, Gabriele de
- Spring, Jonathan
- Kaviani, Moloud
- Jöhr, Simon
- Campanini, Marco
- Zakharova, Anna
- Guillemard, Charles
- Herrero Martín, Javier
- Erni, Rolf
- Piamonteze, Cinthia
- Rossell, Marta D.
- Aschauer, Ulrich
- Gibert, Marta
7 pages. -- Figure S1. a) X-ray diffraction around STO(001). Finite size fringes indicate high-crystalline quality for all the LNMO films. Data for different films is shifted for increased visibility. b) Topography of a 5-uc-thick LNMO film. Step-and-terrace morphology is inherited by the TiO2-terminated STO substrate. c) Reciprocal space map around STO(103) indicates that a 90 uc (~ 35 nm) LNMO film is epitaxially strained to the substrate. -- Figure S2. a) Mn L3,2-edges XMCD spectra. b) Ni L3,2-edges XMCD spectra. -- Figure S3. a) XAS of Mn L3,2-edges for 5-uc-thick LNMO films subjected to different epitaxial strain conditions.
The six different perovskite oxide substrates: LaAlO3 (LAO), NdGaO3 (NGO), LSAT, LaGaO3 (LGO), STO, and
DyScO3 (DSO), exert a nominal strain of -2.1%, -0.5%, -0.2%, +0.4%, +0.7%, and +1.8% respectively. The
LNMO heterostructure with the highest Mn3+ content is the one grown on STO, followed by the one on LSAT.
Overall, the other heterostructures have similar spectra despite the very different strain conditions ranging from
highly compressive to highly tensile. Still, signatures of Mn3+ can be observed in tensile-strained LNMO films
grown on LGO and DSO. Data is collected at 300 K. b) Same data as in a) but spectra are vertically shifted for
increased visibility. Reference lines for L3,2-edges maxima are also shown. c) Sketch of interfacial stacking
sequence of LNMO//LSAT. The nominal ionic charge of each layer is indicated on the left. A polar discontinuity
at the interface between film and substrate is present, albeit weaker when compared to LNMO//STO (Figure 2c). d) Sketch of interfacial stacking sequence of LNMO//LGO. -- Figure S4. Projected DOS for the Ni0.5Mn0.5O2 layer adjacent to the LNMO//STO (top) and LNMO//LGO (bottom) interface. -- Figure S5. Projected layer-resolved DOS for VO placed in the a) first, b) eleventh, c) twelfth and d) thirteenth
layer from the surface of the LNMO//STO heterostructure. -- Figure S6. a) HAADF-STEM survey image of a 13 uc LNMO//STO film and corresponding atomic-resolution EDX elemental maps calculated from the EDX spectrum image using the Sr Kα, Ti Kα, La Lα, Mn Kα and Ni Kα lines. -- Figure S7. At neutral charge the rock-salt configuration (a) is the most stable while the row configuration (c) is the least stable. On the other hand, after adding an extra electron to the system, the column configuration (b) is the most stable. -- Figure S8. The DOS are shifted by the vacuum level determined from (001)pc surface calculations (the work functions for LNMO, LNO and LAO are 4.26, 4.71 and 5.49 eV respectively). -- Figure S9. a) XAS of Mn L3,2-edges for 5- and 10-uc-thick LNMO//STO shows different Mn3+ content as already
evidenced in Figure 2a. LNO capping results in a Mn4+-like spectra while the LAO capping is characterized by the persistent presence of Mn3+. Data collected at 20 K. b) XAS of Mn L3,2-edges for 5- and 9-uc-thck LNMO//LSAT shows a larger Mn3+ content for reduced LNMO thickness, similar to what already observed at the LNMO//STO heterostructure. -- Figure S10. Normalized SQUID magnetization vs temperature of a LNO/LNMO(2uc)//STO heterostructure measured in a magnetic field of 0.5 T (gray line)., Peer reviewed
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DOI: http://hdl.handle.net/10261/330593
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330593
HANDLE: http://hdl.handle.net/10261/330593
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330593
PMID: http://hdl.handle.net/10261/330593
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330593
Ver en: http://hdl.handle.net/10261/330593
Digital.CSIC. Repositorio Institucional del CSIC
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