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| 1. |  | LEADLEY, P.; GONZALEZ, A.; OBURA, D.; KRUG, C.B.; LONDOÑO-MURCIA, M.C.; MILLETTE, K.L.; RADULOVICI, A.; RANKOVIC, A.; SHANNON, L.J.; ARCHER, E.; ATO ARMAH, F.; NIC BAX, N,; CHAUDHARI, K.; COSTELLO, M.J.; DÁVALOS, L.M.; ROQUE, F DE O; DECLERCK, F.; DEE, L.E.; ESSL, F.; FERRIER, S.; GENOVESI, P.; GUARIGUATA, M.R.; HASHIMOTO, S.; IFEJIKA SPERANZA, CH.; ISBELL, F.; KOK, M.; LAVERY, S.D.; LECLÈRE, D.; LOYOLA, R.; LWASA, S.; MCGEOCH, M.; MORI, A.S.; NICHOLSON, E.; OCHOA, J.M.; ÖLLERER, K.; POLASKY, S.; RONDININI, C.; SCHROER, S.; SELOMANE, O.; SHEN, X.; STRASSBURG, B.; RASHID SUMAILA, U.; TITTENSOR, D.P.; TURAK, E.; URBINA, L.; VALLEJOS, M.; VÁZQUEZ-DOMÍNGUEZ, E.; VERBURG, P.H.; VISCONTI, P.; WOODLEY, S.; XU, J. Achieving global biodiversity goals by 2050 requires urgent and integrated actions. One Earth, 2022, Volume 5, Issue 6, Pages 597-603. doi: https://doi.org/10.1016/j.oneear.2022.05.009 Artticle history: Available online 17 June 2022, Version of Record 17 June 2022.| Biblioteca(s): INIA La Estanzuela. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
15/03/2022 |
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Actualizado : |
05/10/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
MENA, E.; GARAYCOCHEA, S.; STEWART, S.; MONTESANO, M.; PONCE DE LEÓN, I. |
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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. |
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Título : |
Comparative genomics of plant pathogenic Diaporthe species and transcriptomics of Diaporthe caulivora during host infection reveal insights into pathogenic strategies of the genus. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
BMC Genomics, 2022, volume 23, no. 1, 175. OPEN ACCESS. doi: https://doi.org/10.1186/s12864-022-08413-y |
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ISSN : |
1471-2164 |
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DOI : |
10.1186/s12864-022-08413-y |
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Idioma : |
Inglés |
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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 |
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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. |
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Palabras claves : |
Diaporthe pathogens; Effectors; Genomes; Pathogenicity factors; RNAseq; Secretome; Soybean. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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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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