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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
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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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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INIA Las Brujas (LB) |
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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Tacuarembó. |
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Fecha actual : |
11/05/2020 |
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Actualizado : |
27/01/2021 |
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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 : |
LÓPEZ-GONZÁLEZ, F.A.; RODRIGO ALLENDE, R.; SOARES DE LIMA, J.M.; CANOZZI, M.E.A.; GIL, A.; BARCELLOS, J.O.J. |
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Afiliación : |
FREDY ANDREY LÓPEZ-GONZÁLEZ, Department of Animal Science, Federal University of Rio Grande do Sul, 7.712 Bento Gonçalves Ave., Porto Alegre, Rio Grande do Sul 91540-000, Brazil.; RODRIGO ALLENDE, Department of Animal Science, Faculty of Veterinary Sciences, University of Concepción, Chillán, Chile.; JUAN MANUEL SOARES DE LIMA LAPETINA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARÍA EUGENIA ANDRIGHETTO CANOZZI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; AMIR GIL, Sessim Department of Animal Science, Federal University of Rio Grande do Sul, 7.712 Bento Gonçalves Ave., Porto Alegre, Rio Grande do Sul 91540-000, Brazil.; JÚLIO OTÁVIO JARDIM BARCELLOS, Department of Animal Science, Federal University of Rio Grande do Sul, 7.712 Bento Gonçalves Ave., Porto Alegre, Rio Grande do Sul 91540-000, Brazil. |
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Título : |
Intensification of cow-calf production: How does the system respond biologically to energy inputs in a long-term horizon?. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Livestock Science, Volume 237, July 2020, 104058. Doi: https://doi.org/10.1016/j.livsci.2020.104058. |
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DOI : |
10.1016/j.livsci.2020.104058 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 21 August 2019// Received in revised form 22 March 2020// Accepted 9 April 2020 //Available online 26 April 2020- Corresponding author. E-mail address: julio.barcellos@ufrgs.br (J.O.J. Barcellos).This study was ?nanced in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) Finance Code 001. |
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Contenido : |
Abstract:
In southern Brazil, beef cattle production systems generally rely on grazing on natural pastures. However, their forage production, and consequently metabolizable energy (ME) production, is seasonal and influenced by climatic events. Thus, there is a scientific and commercial interest in evaluating and understanding the biological impacts of intensification using pasture irrigation and the effects of El Niño-Southern Oscillation (ENSO) phenomena on the long term on the productivity of cow-calf systems. Therefore, our objective was to develop a simulation model to evaluate the effects of intensification levels, using cultivated pastures and irrigation, on the productivity and on the efficiency metabolizable energy utilization of beef cow-calf systems in a 10-year horizon. This period allows capturing the effects of several production cycles as influenced by ENSO events. The model includes three submodels: herd structure, herd ME requirements, and forage ME production. The results of the present study demonstrate that the proposed model is able to evaluate the influence of intensification of grazing systems on metabolizable energy production, carrying capacity, productivity and biological efficiency of beef cow-calf systems over a long-term horizon. Productivity was increased in 15.9% when 20% of the grazing area was intensified and irrigated compared with the modeled non-intensified system, independently of climatic events. The main productive response was the increase in the number of dams in the herd, especially as a result of the use of irrigation. This study proposes different alternatives for increasing the productivity of beef cow-calf systems in southern Brazil. MenosAbstract:
In southern Brazil, beef cattle production systems generally rely on grazing on natural pastures. However, their forage production, and consequently metabolizable energy (ME) production, is seasonal and influenced by climatic events. Thus, there is a scientific and commercial interest in evaluating and understanding the biological impacts of intensification using pasture irrigation and the effects of El Niño-Southern Oscillation (ENSO) phenomena on the long term on the productivity of cow-calf systems. Therefore, our objective was to develop a simulation model to evaluate the effects of intensification levels, using cultivated pastures and irrigation, on the productivity and on the efficiency metabolizable energy utilization of beef cow-calf systems in a 10-year horizon. This period allows capturing the effects of several production cycles as influenced by ENSO events. The model includes three submodels: herd structure, herd ME requirements, and forage ME production. The results of the present study demonstrate that the proposed model is able to evaluate the influence of intensification of grazing systems on metabolizable energy production, carrying capacity, productivity and biological efficiency of beef cow-calf systems over a long-term horizon. Productivity was increased in 15.9% when 20% of the grazing area was intensified and irrigated compared with the modeled non-intensified system, independently of climatic events. The main productive response was the incre... Presentar Todo |
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Palabras claves : |
BIOLOGICAL EFFICENCY; EL NIÑO-SOUTHERN OSCILLATION(ENSO); HERD STRUCTURE; INTENSIFICACIÓN DE LA PRODUCCIÓN; IRRIGATION MODELING. |
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Asunto categoría : |
L01 Ganadería |
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Marc : |
LEADER 02980naa a2200265 a 4500
001 1061050
005 2021-01-27
008 2020 bl uuuu u00u1 u #d
024 7 $a10.1016/j.livsci.2020.104058$2DOI
100 1 $aLÓPEZ-GONZÁLEZ, F.A.
245 $aIntensification of cow-calf production$bHow does the system respond biologically to energy inputs in a long-term horizon?.$h[electronic resource]
260 $c2020
500 $aArticle history: Received 21 August 2019// Received in revised form 22 March 2020// Accepted 9 April 2020 //Available online 26 April 2020- Corresponding author. E-mail address: julio.barcellos@ufrgs.br (J.O.J. Barcellos).This study was ?nanced in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) Finance Code 001.
520 $aAbstract: In southern Brazil, beef cattle production systems generally rely on grazing on natural pastures. However, their forage production, and consequently metabolizable energy (ME) production, is seasonal and influenced by climatic events. Thus, there is a scientific and commercial interest in evaluating and understanding the biological impacts of intensification using pasture irrigation and the effects of El Niño-Southern Oscillation (ENSO) phenomena on the long term on the productivity of cow-calf systems. Therefore, our objective was to develop a simulation model to evaluate the effects of intensification levels, using cultivated pastures and irrigation, on the productivity and on the efficiency metabolizable energy utilization of beef cow-calf systems in a 10-year horizon. This period allows capturing the effects of several production cycles as influenced by ENSO events. The model includes three submodels: herd structure, herd ME requirements, and forage ME production. The results of the present study demonstrate that the proposed model is able to evaluate the influence of intensification of grazing systems on metabolizable energy production, carrying capacity, productivity and biological efficiency of beef cow-calf systems over a long-term horizon. Productivity was increased in 15.9% when 20% of the grazing area was intensified and irrigated compared with the modeled non-intensified system, independently of climatic events. The main productive response was the increase in the number of dams in the herd, especially as a result of the use of irrigation. This study proposes different alternatives for increasing the productivity of beef cow-calf systems in southern Brazil.
653 $aBIOLOGICAL EFFICENCY
653 $aEL NIÑO-SOUTHERN OSCILLATION(ENSO)
653 $aHERD STRUCTURE
653 $aINTENSIFICACIÓN DE LA PRODUCCIÓN
653 $aIRRIGATION MODELING
700 1 $aRODRIGO ALLENDE, R.
700 1 $aSOARES DE LIMA, J.M.
700 1 $aCANOZZI, M.E.A.
700 1 $aGIL, A.
700 1 $aBARCELLOS, J.O.J.
773 $tLivestock Science, Volume 237, July 2020, 104058. Doi: https://doi.org/10.1016/j.livsci.2020.104058.
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