Resultados totales (Incluyendo duplicados): 141
Encontrada(s) 15 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/287711
Dataset. 2010

ALTAREJOS. IGLESIA DE NUESTRA SEÑORA DE LA ASUNCIÓN. INSCRIPCIÓN CONMEMORATIVA (1606)

  • Cañas Reillo, José Manuel
Inscripción grabada en los sillares de un contrafuerte en la fachada sur de la iglesia, debajo de un reloj de sol. Contiene los nombres de la Sagrada Familia, entre dos escudos, el último de los cuales contiene el nombre de José. El nombre de Jesús y el de María están separados por un círculo con tres flechas que parten de él hacia arriba. En una segunda línea, con tamaño más pequeño de letra, está la datación., CSIC. Proyecto intramural: “Epigrafía latina inédita de los siglos XV al XVIII en monumentos civiles y eclesiásticos de la provincia de Cuenca (2006-2007). Referencia: 2006 | 0| 011., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/287711, https://doi.org/10.20350/digitalCSIC/15103
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/287711
HANDLE: http://hdl.handle.net/10261/287711, https://doi.org/10.20350/digitalCSIC/15103
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/287711
PMID: http://hdl.handle.net/10261/287711, https://doi.org/10.20350/digitalCSIC/15103
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/287711
Ver en: http://hdl.handle.net/10261/287711, https://doi.org/10.20350/digitalCSIC/15103
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/287711

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329843
Dataset. 2023

M. DAT. DE ESPALDAS. MADRID: LIBER FACTORY, 2023

  • Cañas Reillo, José Manuel
Reseñas.-- Evaluación de la actividad científica: un reto del presente., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/329843
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329843
HANDLE: http://hdl.handle.net/10261/329843
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329843
PMID: http://hdl.handle.net/10261/329843
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329843
Ver en: http://hdl.handle.net/10261/329843
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329843

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330562
Dataset. 2022

TABLE_6_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 S6 Candidate genes mapped within the genomic regions associated with the significantly associated SNPs detected in response to U. pisi. Chromosomal linkage disequilibrium (LD) decay was considered to limit the genomic regions were to look for candidate genes., 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/10261/330562
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330562
HANDLE: http://hdl.handle.net/10261/330562
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330562
PMID: http://hdl.handle.net/10261/330562
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330562
Ver en: http://hdl.handle.net/10261/330562
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330562

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330563
Dataset. 2022

TABLE_5_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 S5. Inflation factors observed for the models not accounting (Naïve) or accounting for population structure (Eigen), and familiar relatedness (Kinship) tested in the GWAS related to the inoculation experiments with U. pisi., 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/10261/330563
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330563
HANDLE: http://hdl.handle.net/10261/330563
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330563
PMID: http://hdl.handle.net/10261/330563
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330563
Ver en: http://hdl.handle.net/10261/330563
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330563

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330567
Dataset. 2022

TABLE_4_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 S4. Averaged DS scores (±standard error of the mean) measured from inoculation experiments with U. pisi, in accessions grouped based on their geographical origin, seed color, and seed size. The small letter represents significant differences (P-value ≤ 0.05) among accessions grouped by origin, seed size or color., 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/10261/330567
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330567
HANDLE: http://hdl.handle.net/10261/330567
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330567
PMID: http://hdl.handle.net/10261/330567
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330567
Ver en: http://hdl.handle.net/10261/330567
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/330567

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:10261/330573
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:10261/330575
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:10261/330578
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

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