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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. |
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Fecha : |
20/07/2022 |
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Actualizado : |
20/07/2022 |
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Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
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Autor : |
CRISPO, M.; CHENOUARD, V.; DOS SANTOS-NETO P; TESSON, L.; SOUZA-NEVES, M.; HESLAN, J.M.; CUADRO, F.; ANEGÓN, I.; MENCHACA, A. |
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Afiliación : |
MARTINA CRISPO, Laboratory Animal Biotechnology Unit, Institut Pasteur de Montevideo, Montevideo, Uruguay.; VANESSA CHENOUARD, INSERM Centre de Recherche en Transplantation et Immunologie UMR 1064, Transgenesis Rat ImmunoPhenomic Facility (TRIP), Nantes, France.; PEDRO DOS SANTOS-NETO, Instituto de Reproducción Animal Uruguay, Fundación IRAUy, Montevideo, Uruguay.; LAURENT TESSON, INSERM Centre de Recherche en Transplantation et Immunologie UMR 1064, Transgenesis Rat ImmunoPhenomic Facility (TRIP), Nantes, France.; MARCELA SOUZA-NEVES, Instituto de Reproducción Animal Uruguay, Fundación IRAUy, Montevideo, Uruguay.; JEAN-MARIE HESLAN, INSERM Centre de Recherche en Transplantation et Immunologie UMR 1064, Transgenesis Rat ImmunoPhenomic Facility (TRIP), Nantes, France.; FEDERICO CUADRO, Instituto de Reproducción Animal Uruguay, Fundación IRAUy, Montevideo, Uruguay.; IGNACIO ANEGÓN, INSERM Centre de Recherche en Transplantation et Immunologie UMR 1064, Transgenesis Rat ImmunoPhenomic Facility (TRIP), Nantes, France.; JOSE ALEJO MENCHACA BARBEITO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./Instituto de Reproducción Animal Uruguay, Fundación IRAUy, Montevideo, Uruguay. |
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Título : |
Generation of a Human Deafness Sheep Model Using the CRISPR/Cas System. |
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Complemento del título : |
Chapter 12. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Methods in Molecular Biology, 2022, Volume 2495, Pages 233-258. doi: https://doi.org/10.1007/978-1-0716-2301-5_12 |
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DOI : |
10.1007/978-1-0716-2301-5_12 |
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Idioma : |
Inglés |
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Contenido : |
Abstract:
CRISPR/Cas9 system is a promising method for the generation of human disease models by genome editing in non-conventional experimental animals. Medium/large-sized animals like sheep have several advantages to study human diseases and medicine. Here, we present a protocol that describes the generation of an otoferlin edited sheep model via CRISPR-assisted single-stranded oligodinucleotide-mediated Homology-Directed Repair (HDR), through direct cytoplasmic microinjection in in vitro produced zygotes.Otoferlin is a protein expressed in the cochlear inner hair cells, with different mutations at the OTOF gene being the major cause of nonsyndromic recessive auditory neuropathy spectrum disorder in humans. By using this protocol, we reported for the first time an OTOF KI model in sheep with 17.8% edited lambs showing indel mutations, and 61.5% of them bearing knock-in mutations by HDR . The reported method establishes the bases to produce a deafness model to test novel therapies in human disorders related to OTOF mutations. |
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Palabras claves : |
Embryo; Genome editing; In vitro fertilization; OTOF; SsODNs. |
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Thesagro : |
OVEJA. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 01915naa a2200301 a 4500
001 1063442
005 2022-07-20
008 2022 bl uuuu u00u1 u #d
024 7 $a10.1007/978-1-0716-2301-5_12$2DOI
100 1 $aCRISPO, M.
245 $aGeneration of a Human Deafness Sheep Model Using the CRISPR/Cas System.$h[electronic resource]
260 $c2022
520 $aAbstract: CRISPR/Cas9 system is a promising method for the generation of human disease models by genome editing in non-conventional experimental animals. Medium/large-sized animals like sheep have several advantages to study human diseases and medicine. Here, we present a protocol that describes the generation of an otoferlin edited sheep model via CRISPR-assisted single-stranded oligodinucleotide-mediated Homology-Directed Repair (HDR), through direct cytoplasmic microinjection in in vitro produced zygotes.Otoferlin is a protein expressed in the cochlear inner hair cells, with different mutations at the OTOF gene being the major cause of nonsyndromic recessive auditory neuropathy spectrum disorder in humans. By using this protocol, we reported for the first time an OTOF KI model in sheep with 17.8% edited lambs showing indel mutations, and 61.5% of them bearing knock-in mutations by HDR . The reported method establishes the bases to produce a deafness model to test novel therapies in human disorders related to OTOF mutations.
650 $aOVEJA
653 $aEmbryo
653 $aGenome editing
653 $aIn vitro fertilization
653 $aOTOF
653 $aSsODNs
700 1 $aCHENOUARD, V.
700 1 $aDOS SANTOS-NETO P
700 1 $aTESSON, L.
700 1 $aSOUZA-NEVES, M.
700 1 $aHESLAN, J.M.
700 1 $aCUADRO, F.
700 1 $aANEGÓN, I.
700 1 $aMENCHACA, A.
773 $tMethods in Molecular Biology, 2022, Volume 2495, Pages 233-258. doi: https://doi.org/10.1007/978-1-0716-2301-5_12
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Registro original : |
INIA La Estanzuela (LE) |
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
27/09/2022 |
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Actualizado : |
27/09/2022 |
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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 : |
BAEZA, S.; VÉLEZ-MARTIN, E.; DE ABELLEYRA, D.; BANCHERO, S.; GALLEGO, F.; SCHIRMBECK, J.; VERON, S.; VALLEJOS, M.; WEBER, E.; OYARZABAL, M.; BARBIERI, A.; PETEK, M.; GUERRA LARA, M.; SARRAILHÉ, S.S.; BALDI, G.; BAGNATO, C.; BRUZZONE, L.; RAMOS, S.; HASENACK, H. |
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Afiliación : |
SANTIAGO BAEZA, Departamento de Sistemas Ambientales, Facultad de Agronomía, UdelaR, Montevideo, Montevideo, 12900, Uruguay; E. VÉLEZ-MARTIN, GeoKarten Consultoria em Tecnologia da Informação Ltda. Roca Sales, Rio Grande do Sul, 95735-000, Brazil; D. DE ABELLEYRA, Instituto de Clima y Agua, Instituto Nacional de Tecnología Agropecuaria (INTA) Hurlingham, Buenos Aires, 1686, Argentina; S. BANCHERO, Instituto de Clima y Agua, Instituto Nacional de Tecnología Agropecuaria (INTA) Hurlingham, Buenos Aires, 1686, Argentina; F. GALLEGO, Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias, UdelaR, Montevideo, Montevideo, 11400, Uruguay; J. SCHIRMBECK, GeoKarten Consultoria em Tecnologia da Informação Ltda. Roca Sales, Rio Grande do Sul, 95735-000, Brazil; S. VERON, Instituto de Clima y Agua, Instituto Nacional de Tecnología Agropecuaria (INTA) Hurlingham, Bs. As., Argentina;Departamento de Métodos Cuantitativos y Sistemas de Información, LART, IFEVA, Facultad de Agronomía, UBA/CONICET, Bs. As., Argentina; MARÍA VALLEJOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; E. WEBER, Departamento Interdisciplinar e Programa de Pós-Graduação em Sensoriamento Remoto, Universidade Federal do Rio Grande do Sul, Campus Litoral Norte. Tramandaí, Rio Grande do Sul, 95590-000, Brazil; M. OYARZABAL, Departamento de Métodos Cuantitativos y Sistemas de Información, LART, IFEVA, Facultad de Agronomía, UBA/CONICET, Buenos Aires, Buenos Aires, 1417, Argentina; A. BARBIERI, Departamento de Geografía, Facultad de Ciencias, UdelaR, Montevideo, Montevideo, 11400, Uruguay; M. PETEK, Instituto de Clima y Agua, Instituto Nacional de Tecnología Agropecuaria (INTA) Hurlingham, Buenos Aires, 1686, Argentina; M. GUERRA LARA, Instituto de Matemática Aplicada San Luis, Universidad Nacional de San Luis y CONICET, San Luis, San Luis, 5700, Argentina; S. S. SARRAILHÉ, Instituto de Clima y Agua, Instituto Nacional de Tecnología Agropecuaria (INTA) Hurlingham, Buenos Aires, 1686, Argentina; G. BALDI, Instituto de Matemática Aplicada San Luis, Universidad Nacional de San Luis and CONICET, San Luis, San Luis, 5700, Argentina; C. BAGNATO, IRNAD, UNRN, CONICET, Río Negro, San Carlos de Bariloche, 8400, Argentina; L. BRUZZONE, Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias, UdelaR, Montevideo, Montevideo, 11400, Uruguay; S. RAMOS, Departamento de Geografía, Facultad de Ciencias, UdelaR, Montevideo, Montevideo, 11400, Uruguay; H. HASENACK, Departamento de Ecologia, IB e Programa de Pós-Graduação em Agronegócios, CEPAN, Universidade Federal do Rio Grande do Sul. Porto Alegre, Rio Grande do Sul, 91501-970, Brazil. |
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Título : |
Two decades of land cover mapping in the Río de la Plata grassland region: The MapBiomas Pampa initiative. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Remote Sensing Applications: Society and Environment, 2022, Volume 28, Article 100834. doi: https://doi.org/10.1016/j.rsase.2022.100834 |
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ISSN : |
2352-9385 |
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DOI : |
10.1016/j.rsase.2022.100834 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 26 April 2022; Received in revised form 29 August 2022; Accepted 3 September 2022; Available online 8 September 2022.
Corresponding author: Baeza, S.; Departamento de Sistemas Ambientales, Facultad de Agronomía, UdelaR, Montevideo, Montevideo, Uruguay; email:sbaeza@fagro.edu.uy -- This work has been also partially funded by ANII INNOVAGRO projects FSA_PI_2018_1_149022 and FSA_PI_2018_1_148811; CSIC I+D 2020_358, FMV_3_2020_1_162279, and FMV_1_2021_1_167032. |
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Contenido : |
ABSTRACT.- The Río de la Plata Grasslands (RPG) region is the largest area of the temperate humid and sub-humid grasslands biome in South America and one of the largest in the world. The region is located on fertile soils, generally very suitable for agricultural development, so it is undergoing an intense land cover change process. Our knowledge of these changes remains incomplete. Most regional-scale studies have been conducted over specific periods, limited subsets of the RGP, coarse resolution and, in general, used land cover classes that are not readily compatible. In this work we described and analyzed the land cover changes in the entire RPG region for the first two decades of the 21st century, especially those related to grasslands loss. We generated annual land cover maps with 30-m resolution that discriminate between 8 categories: native woody formation, forest plantation, swampy areas and flooded grassland, grassland, farming, non-vegetated area, water and non-observed. The map series was evaluated for the years 2001 and 2018 using a completely independent dataset, selected by stratified randomized sampling. Overall accuracy was 73.5% and 77.8% for 2001 and 2018, respectively, with user and producer accuracies that varied between classes and years. In 20 years, RPG region lost, at least, 2.4 million ha of grassland (9% of the remaining grassland area in 2001). Most of these losses are concentrated in Brazil and Uruguay and are associated with new agricultural or forestry areas that increased by 5% and 100%, respectively. Our maps allow a comprehensive understanding of the transformation processes that RPG are undergoing and provide the context on which to explore a large set of hypotheses related to ecosystem structure and functioning. It will also contribute to improving decision-making at both the regional and national levels. © 2022 Elsevier B.V. MenosABSTRACT.- The Río de la Plata Grasslands (RPG) region is the largest area of the temperate humid and sub-humid grasslands biome in South America and one of the largest in the world. The region is located on fertile soils, generally very suitable for agricultural development, so it is undergoing an intense land cover change process. Our knowledge of these changes remains incomplete. Most regional-scale studies have been conducted over specific periods, limited subsets of the RGP, coarse resolution and, in general, used land cover classes that are not readily compatible. In this work we described and analyzed the land cover changes in the entire RPG region for the first two decades of the 21st century, especially those related to grasslands loss. We generated annual land cover maps with 30-m resolution that discriminate between 8 categories: native woody formation, forest plantation, swampy areas and flooded grassland, grassland, farming, non-vegetated area, water and non-observed. The map series was evaluated for the years 2001 and 2018 using a completely independent dataset, selected by stratified randomized sampling. Overall accuracy was 73.5% and 77.8% for 2001 and 2018, respectively, with user and producer accuracies that varied between classes and years. In 20 years, RPG region lost, at least, 2.4 million ha of grassland (9% of the remaining grassland area in 2001). Most of these losses are concentrated in Brazil and Uruguay and are associated with new agricultural or f... Presentar Todo |
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Palabras claves : |
Classification; Grasslands; Land use change; Landsat; Time series. |
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Asunto categoría : |
F01 Cultivo |
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Marc : |
LEADER 03626naa a2200433 a 4500
001 1063583
005 2022-09-27
008 2022 bl uuuu u00u1 u #d
022 $a2352-9385
024 7 $a10.1016/j.rsase.2022.100834$2DOI
100 1 $aBAEZA, S.
245 $aTwo decades of land cover mapping in the Río de la Plata grassland region$bThe MapBiomas Pampa initiative.$h[electronic resource]
260 $c2022
500 $aArticle history: Received 26 April 2022; Received in revised form 29 August 2022; Accepted 3 September 2022; Available online 8 September 2022. Corresponding author: Baeza, S.; Departamento de Sistemas Ambientales, Facultad de Agronomía, UdelaR, Montevideo, Montevideo, Uruguay; email:sbaeza@fagro.edu.uy -- This work has been also partially funded by ANII INNOVAGRO projects FSA_PI_2018_1_149022 and FSA_PI_2018_1_148811; CSIC I+D 2020_358, FMV_3_2020_1_162279, and FMV_1_2021_1_167032.
520 $aABSTRACT.- The Río de la Plata Grasslands (RPG) region is the largest area of the temperate humid and sub-humid grasslands biome in South America and one of the largest in the world. The region is located on fertile soils, generally very suitable for agricultural development, so it is undergoing an intense land cover change process. Our knowledge of these changes remains incomplete. Most regional-scale studies have been conducted over specific periods, limited subsets of the RGP, coarse resolution and, in general, used land cover classes that are not readily compatible. In this work we described and analyzed the land cover changes in the entire RPG region for the first two decades of the 21st century, especially those related to grasslands loss. We generated annual land cover maps with 30-m resolution that discriminate between 8 categories: native woody formation, forest plantation, swampy areas and flooded grassland, grassland, farming, non-vegetated area, water and non-observed. The map series was evaluated for the years 2001 and 2018 using a completely independent dataset, selected by stratified randomized sampling. Overall accuracy was 73.5% and 77.8% for 2001 and 2018, respectively, with user and producer accuracies that varied between classes and years. In 20 years, RPG region lost, at least, 2.4 million ha of grassland (9% of the remaining grassland area in 2001). Most of these losses are concentrated in Brazil and Uruguay and are associated with new agricultural or forestry areas that increased by 5% and 100%, respectively. Our maps allow a comprehensive understanding of the transformation processes that RPG are undergoing and provide the context on which to explore a large set of hypotheses related to ecosystem structure and functioning. It will also contribute to improving decision-making at both the regional and national levels. © 2022 Elsevier B.V.
653 $aClassification
653 $aGrasslands
653 $aLand use change
653 $aLandsat
653 $aTime series
700 1 $aVÉLEZ-MARTIN, E.
700 1 $aDE ABELLEYRA, D.
700 1 $aBANCHERO, S.
700 1 $aGALLEGO, F.
700 1 $aSCHIRMBECK, J.
700 1 $aVERON, S.
700 1 $aVALLEJOS, M.
700 1 $aWEBER, E.
700 1 $aOYARZABAL, M.
700 1 $aBARBIERI, A.
700 1 $aPETEK, M.
700 1 $aGUERRA LARA, M.
700 1 $aSARRAILHÉ, S.S.
700 1 $aBALDI, G.
700 1 $aBAGNATO, C.
700 1 $aBRUZZONE, L.
700 1 $aRAMOS, S.
700 1 $aHASENACK, H.
773 $tRemote Sensing Applications: Society and Environment, 2022, Volume 28, Article 100834. doi: https://doi.org/10.1016/j.rsase.2022.100834
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