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1. | | MENA, E.; GARAYCOCHEA, S.; STEWART, S.; MONTESANO, M.; PONCE DE LEÓN, I. Comparative genomics of plant pathogenic Diaporthe species and transcriptomics of Diaporthe caulivora during host infection reveal insights into pathogenic strategies of the genus. BMC Genomics, 2022, volume 23, no. 1, 175. OPEN ACCESS. doi: https://doi.org/10.1186/s12864-022-08413-y Article history: Received 21 October 2021; Accepted 23 February 2022; Published 03 March 2022.
This work was funded by "Agencia Nacional de Investigación e Innovación (ANII) (grant RTS-1-2014, and graduate fellowship)" Uruguay, "Programa...Biblioteca(s): INIA Las Brujas. |
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Registros recuperados : 1 | |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
15/03/2022 |
Actualizado : |
05/10/2022 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
MENA, E.; GARAYCOCHEA, S.; STEWART, S.; MONTESANO, M.; PONCE DE LEÓN, I. |
Afiliación : |
EILYN MENA, Departamento de Biología Molecular, Instituto de Investigaciones Biológicas Clemente Estable; SILVIA RAQUEL GARAYCOCHEA SOLSONA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SILVINA MARIA STEWART SONEIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARCOS MONTESANO, Departamento de Biología Molecular, Instituto de Investigaciones Biológicas Clemente Estable; INÉS PONCE DE LEÓN, Departamento de Biología Molecular, Instituto de Investigaciones Biológicas Clemente Estable. |
Título : |
Comparative genomics of plant pathogenic Diaporthe species and transcriptomics of Diaporthe caulivora during host infection reveal insights into pathogenic strategies of the genus. |
Fecha de publicación : |
2022 |
Fuente / Imprenta : |
BMC Genomics, 2022, volume 23, no. 1, 175. OPEN ACCESS. doi: https://doi.org/10.1186/s12864-022-08413-y |
ISSN : |
1471-2164 |
DOI : |
10.1186/s12864-022-08413-y |
Idioma : |
Inglés |
Notas : |
Article history: Received 21 October 2021; Accepted 23 February 2022; Published 03 March 2022.
This work was funded by "Agencia Nacional de Investigación e Innovación (ANII) (grant RTS-1-2014, and graduate fellowship)" Uruguay, "Programa de Desarrollo de las Ciencias Básicas (PEDECIBA)" Uruguay, and "Programa para Grupo de I + D Comisión Sectorial de Investigación Científica, Universidad de la República", Uruguay.
Author information: Eilyn Mena and Silvia Garaycochea contributed equally to this work.
Supplementary Information: https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-022-08413-y#Sec14 |
Contenido : |
ABSTRACT. - Background: Diaporthe caulivora is a fungal pathogen causing stem canker in soybean worldwide. The generation of genomic and transcriptomic information of this ascomycete, together with a comparative genomic approach with other pathogens of this genus, will contribute to get insights into the molecular basis of pathogenicity strategies used by D. caulivora and other Diaporthe species.
Results: In the present work, the nuclear genome of D. caulivora isolate (D57) was resolved, and a comprehensive annotation based on gene expression and genomic analysis is provided. Diaporthe caulivora D57 has an estimated size of 57,86?Mb and contains 18,385 predicted protein-coding genes, from which 1501 encode predicted secreted proteins. A large array of D. caulivora genes encoding secreted pathogenicity-related proteins was identified, including carbohydrate-active enzymes (CAZymes), necrosis-inducing proteins, oxidoreductases, proteases and effector candidates. |
Palabras claves : |
Diaporthe pathogens; Effectors; Genomes; Pathogenicity factors; RNAseq; Secretome; Soybean. |
Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16809/1/s12864-022-08413-y.pdf
https://bmcgenomics.biomedcentral.com/track/pdf/10.1186/s12864-022-08413-y.pdf
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Marc : |
LEADER 02531naa a2200289 a 4500 001 1062833 005 2022-10-05 008 2022 bl uuuu u00u1 u #d 022 $a1471-2164 024 7 $a10.1186/s12864-022-08413-y$2DOI 100 1 $aMENA, E. 245 $aComparative genomics of plant pathogenic Diaporthe species and transcriptomics of Diaporthe caulivora during host infection reveal insights into pathogenic strategies of the genus.$h[electronic resource] 260 $c2022 500 $aArticle history: Received 21 October 2021; Accepted 23 February 2022; Published 03 March 2022. This work was funded by "Agencia Nacional de Investigación e Innovación (ANII) (grant RTS-1-2014, and graduate fellowship)" Uruguay, "Programa de Desarrollo de las Ciencias Básicas (PEDECIBA)" Uruguay, and "Programa para Grupo de I + D Comisión Sectorial de Investigación Científica, Universidad de la República", Uruguay. Author information: Eilyn Mena and Silvia Garaycochea contributed equally to this work. Supplementary Information: https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-022-08413-y#Sec14 520 $aABSTRACT. - Background: Diaporthe caulivora is a fungal pathogen causing stem canker in soybean worldwide. The generation of genomic and transcriptomic information of this ascomycete, together with a comparative genomic approach with other pathogens of this genus, will contribute to get insights into the molecular basis of pathogenicity strategies used by D. caulivora and other Diaporthe species. Results: In the present work, the nuclear genome of D. caulivora isolate (D57) was resolved, and a comprehensive annotation based on gene expression and genomic analysis is provided. Diaporthe caulivora D57 has an estimated size of 57,86?Mb and contains 18,385 predicted protein-coding genes, from which 1501 encode predicted secreted proteins. A large array of D. caulivora genes encoding secreted pathogenicity-related proteins was identified, including carbohydrate-active enzymes (CAZymes), necrosis-inducing proteins, oxidoreductases, proteases and effector candidates. 653 $aDiaporthe pathogens 653 $aEffectors 653 $aGenomes 653 $aPathogenicity factors 653 $aRNAseq 653 $aSecretome 653 $aSoybean 700 1 $aGARAYCOCHEA, S. 700 1 $aSTEWART, S. 700 1 $aMONTESANO, M. 700 1 $aPONCE DE LEÓN, I. 773 $tBMC Genomics, 2022, volume 23, no. 1, 175. OPEN ACCESS. doi: https://doi.org/10.1186/s12864-022-08413-y
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