Resultados totales (Incluyendo duplicados): 45302
Encontrada(s) 4531 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330569
Dataset. 2022

TABLE_3_ASSOCIATION MAPPING OF LATHYRUS SATIVUS DISEASE RESPONSE TO UROMYCES PISI REVEALS NOVEL LOCI UNDERLYING PARTIAL RESISTANCE.XLSX

  • Martins, Davide Coelho
  • Rubiales, Diego
  • Vaz Patto, María Carlota
Table S3. Variance components and broad-sense heritability for the DS scores of U. pisi inoculation experiments., 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/10261/330569
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330569
HANDLE: http://hdl.handle.net/10261/330569
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330569
PMID: http://hdl.handle.net/10261/330569
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330569
Ver en: http://hdl.handle.net/10261/330569
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330569

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330571
Dataset. 2022

TABLE_2_ASSOCIATION MAPPING OF LATHYRUS SATIVUS DISEASE RESPONSE TO UROMYCES PISI REVEALS NOVEL LOCI UNDERLYING PARTIAL RESISTANCE.XLSX

  • Martins, Davide Coelho
  • Rubiales, Diego
  • Vaz Patto, María Carlota
Table S2. Primer sequences used for RT-qPCR analysis., 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/10261/330571
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330571
HANDLE: http://hdl.handle.net/10261/330571
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330571
PMID: http://hdl.handle.net/10261/330571
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330571
Ver en: http://hdl.handle.net/10261/330571
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330571

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330572
Dataset. 2022

SUPPLEMENTAL INFORMATION: ROBUST TRANSCRIPTIONAL INDICATORS OF IMMUNE CELL DEATH REVEALED BY SPATIOTEMPORAL TRANSCRIPTOME ANALYSES

  • Salguero-Linares, José Manuel
  • Serrano, Irene
  • Ruiz-Solani, Nerea
  • Salas-Gómez, Marta
  • Phukan, Ujjal J.
  • González, Víctor M.
  • Bernardo-Faura, Martí
  • Valls, Marc
  • Rengel, David
  • Coll, Núria S.
Document S1. Supplemental Figures 1–16 and Supplemental Tables 1–13. Supplemental Table 1. Primers. Supplemental Table 2. Statistics. Supplemental Table 3. DEGs. Supplemental Table 4. DEGs IN versus OUT. Supplemental Table 5. GO IN versus OUT. Supplemental Table 6. Gene list clusters IN. Supplemental Table 7. GO clusters IN PtoAvrRpm1. Supplemental Table 8. GO clusters OUT PtoAvrRpm1. Supplemental Table 9. GO DEGs. Supplemental Table 10 GO cluster IN mock. Supplemental Table 11. GO cluster OUT mock. Supplemental Table 12. Primers. Supplemental Table 13. Quantitative PCR raw data. Document S2. Article plus supplemental information., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/330572
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330572
HANDLE: http://hdl.handle.net/10261/330572
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330572
PMID: http://hdl.handle.net/10261/330572
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330572
Ver en: http://hdl.handle.net/10261/330572
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330572

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330573
Dataset. 2022

TABLE_1_ASSOCIATION MAPPING OF LATHYRUS SATIVUS DISEASE RESPONSE TO UROMYCES PISI REVEALS NOVEL LOCI UNDERLYING PARTIAL RESISTANCE.XLSX

  • Martins, Davide Coelho
  • Rubiales, Diego
  • Vaz Patto, María Carlota
Table S1. Characterization of the grass pea accessions evaluated for the response to U. pisi based on seed color, size, and geographical origin, and respective BLUEs data., 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/10261/330573
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330573
HANDLE: http://hdl.handle.net/10261/330573
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330573
PMID: http://hdl.handle.net/10261/330573
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330573
Ver en: http://hdl.handle.net/10261/330573
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330573

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330574
Dataset. 2022

CODE FOR: ROBUST TRANSCRIPTIONAL INDICATORS OF PLANT IMMUNE CELL DEATH REVEALED BY SPATIO-TEMPORAL TRANSCRIPTOME ANALYSES

  • Salguero-Linares, José Manuel
  • Serrano, Irene
  • Ruiz-Solani, Nerea
  • Salas-Gómez, Marta
  • Phukan, Ujjal J.
  • González, Víctor M.
  • Bernardo-Faura, Martí
  • Valls, Marc
  • Rengel, David
  • Coll, Núria S.
This dataset compiles the code for the research article "Robust transcriptional indicators of plant immune cell death revealed by spatio-temporal transcriptome analyses", currently pubished as a preprint in BioRxiv (DOI:10.1101/2021.10.06.463031). Both the raw and processed transcriptomic data experimentally generated and analysed here in order to identify transcriptional indicators of plant immune cell death are available at GEO (currently under embargo). In addition, supplementary data published with the article, some of which was generated using this code, is available (currently under embargo until manuscript publication) in a linked dataset (https://doi.org/10.34810/data136)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/330574
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330574
HANDLE: http://hdl.handle.net/10261/330574
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330574
PMID: http://hdl.handle.net/10261/330574
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330574
Ver en: http://hdl.handle.net/10261/330574
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330574

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330575
Dataset. 2022

DATA_SHEET_3_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 S3. Heat map depicting mean log2-fold changes of gene expression levels. Relative gene expression analysis of candidate gene related to U. pisi disease response (A-C) was analyzed in accessions susceptible (PI283574, and PI221467_B) and partially resistant (PI165528, PI283566, and PI577138_A). Relative expression values were normalized to the mean of the non-inoculated control (0 HAI) of the most susceptible accession (PI221467_B). Higher levels of relative gene expression (log2-fold changes > 0) are indicated in red and lower levels (log2-fold changes < 0) are indicated in blue. Small letters represent significant differences (P-value <0.05), among accessions or time-points (0 HAI, 12 HAI, 24 HAI, 48 HAI)., 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/10261/330575
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330575
HANDLE: http://hdl.handle.net/10261/330575
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330575
PMID: http://hdl.handle.net/10261/330575
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330575
Ver en: http://hdl.handle.net/10261/330575
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330575

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330577
Dataset. 2022

SUPPLEMENTAL INFORMATION: CIRCADIAN AUTONOMY AND RHYTHMIC PRECISION OF THE ARABIDOPSIS FEMALE REPRODUCTIVE ORGAN

  • Okada, Masaaki
  • Yang, Zhiyuan
  • Más, Paloma
Supplemental information: Document S1. Figures S1–S7 and Table S2. Table S1. JTK_CYCLE analysis and biological process enrichment of rhythmic genes in pistils, related to Figure 4. Document S2. Article plus supplemental information., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/330577
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330577
HANDLE: http://hdl.handle.net/10261/330577
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330577
PMID: http://hdl.handle.net/10261/330577
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330577
Ver en: http://hdl.handle.net/10261/330577
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330577

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330578
Dataset. 2022

DATA_SHEET_2_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 S2. Allele frequency distribution at the DS range scale, of the associated SNPs detected in the GWAS in response to U. pisi. Allele missing data refers to the absence of genotypic data., 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/10261/330578
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330578
HANDLE: http://hdl.handle.net/10261/330578
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330578
PMID: http://hdl.handle.net/10261/330578
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330578
Ver en: http://hdl.handle.net/10261/330578
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330578

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:10261/330583
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

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

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