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| Registros recuperados : 7 | |
| 1. |  | QUEZADA, M.; AMADEU, R. R.; VIGNALE, B.; CABRERA, D.; PRITSCH, C.; GARCIA, A. A. F. Construction of a high-density genetic map of Acca sellowiana (Berg.) Burret, an outcrossing species, based on two connected mapping populations. Original Research Article. Frontiers in Plant Science, 23 February 2021, Volume 12, Article number 626811. OPEN ACCESS. Doi: https://doi.org/10.3389/fpls.2021.626811 Article history: Received: 06 November 2020; Accepted: 12 January 2021; Published: 23 February 2021.
Edited by: Maria Luisa Badenes, Instituto Valenciano de Investigaciones Agrarias, Spain.
Reviewed by: Shouvik Das, Indian Agricultural...| Biblioteca(s): INIA Las Brujas. |
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| 2. | | QUEZADA, M.; PRITSCH, C.; VIGNALE, B.; CABRERA, D.; GARCÍA, A.A.F. Primer reporte de la construcción de un mapa genético en Acca sellowiana (Berg.) Burret empleando genotyping by sequencing. MV 38 - COMUNICACIONES LIBRES - MV. MEJORAMIENTO VEGETAL In: JOURNAL OF BASIC & APPLIED GENETICS, 2016, Vol.27, Iss. 1 (Supp.). XVI LATIN AMERICAN CONGRESS OF GENETICS, IV CONGRESS OF THE URUGUAYAN SOCIETY OF GENETICS, XLIX ANNUAL MEETING OF THE GENETICS SOCIETY OF CHILE, XLV ARGENTINE CONGRESS OF GENETICS, 9-12 October 2016. PROCEEDINGS. Montevideo (Uruguay): SAG, 2016. p. 299| Biblioteca(s): INIA Las Brujas. |
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| 3. | | PRITSCH, C.; QUEZADA, M.; VAZQUEZ, S.; MAZZELLA, C.; VAIO, M.; VIGNALE, B.; CABRERA, D.; GARCÍA, A.A.F. Progresos en la caracterización del genoma de Acca sellowiana (Berg.) Burret. 1 - SIMPOSIOS "GENÉTICA Y GENÓMICA DE FRUTALES" In: JOURNAL OF BASIC & APPLIED GENETICS, 2016, Vol.27, Iss. 1 (Supp.). XVI LATIN AMERICAN CONGRESS OF GENETICS, IV CONGRESS OF THE URUGUAYAN SOCIETY OF GENETICS, XLIX ANNUAL MEETING OF THE GENETICS SOCIETY OF CHILE, XLV ARGENTINE CONGRESS OF GENETICS, 9-12 October 2016. PROCEEDINGS. Montevideo (Uruguay): SAG, 2016. p. 56-57| Biblioteca(s): INIA Las Brujas. |
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| 4. | | PRITSCH, C.; QUEZADA, M.; GARCÍA, A.A.F.; ÁLVAREZ, M.; MACHADO, G.; BERNAL, J.; CAZZULO, Y.; MALOSETTI, M.; ZÁCCARI, F.; RIVAS, M.; CABRERA, D.; VIGNALE, B. Caracterización genética del guayabo del país. [Presentación oral] In: UNIVERSIDAD DE LA REPÚBLICA (UDELAR)/ FACULTAD DE AGRONOMÍA; MGAP/ DGF (DIRECCIÓN GENERAL FORESTAL); INIA, PROGRAMA NACIONAL PRODUCCIÓN FRUTÍCOLA. 7° Encuentro Nacional sobre Frutos Nativos. Colonia: Estación Experimental "Alberto Boerger", INIA La Estanzuela, 9 y 10 de abril de 2015.| Biblioteca(s): INIA Las Brujas. |
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| 5. | | PRITSCH, C.; QUEZADA, M.; GARCÍA, A.A.F.; ÁLVAREZ, M.; MACHADO, G.; BERNAL, J.; CAZZULLO, Y.; MALOSETTI, M.; ZÁCCARI, F.; RIVAS, M.; CABRERA, D.; VIGNALE, B. Caracterización genética del Guayabo del País. In: INIA (Instituto Nacional de Investigación Agropecuaria), Programa Nacional Producción Frutícola. 7° Encuentro Nacional sobre Frutos Nativos. Colonia (UY): INIA, 2015. p. 53-58 (INIA Serie Actividades de Difusión; 745)| Biblioteca(s): INIA Las Brujas. |
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| 6. | | QUEZADA, M.; PASTINA, M.M.; RAVEST, G.; SILVA, P.; VIGNALE, B.; CABRERA, D.; HINRICHSEN, P.; GARCÍA, A.A.F.; PRITSCH, C. A first genetic map of Acca sellowiana based on ISSR, AFLP and SSR markers. Scientia Horticulturae, 2014, v.169, no.2, p. 138-146. Article history: Received 13 May 2013 / Received in revised form 24 January 2014 / Accepted 12 February 2014 / Available online 14 March 2014.| Biblioteca(s): INIA Las Brujas. |
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| 7. | | PRITSCH, C.; MAZZELLA, C.; QUEZADA, M.; DA CRUZ, I.; VÁZQUEZ, S.; GAIERO, P.; VAIO, M.; SILVA, P.; BACCINO, E.; LOMBARDO, P.; HINRICHSEN, P.; GARCIA, A.A.F.; CABRERA, D.; VIGNALE, B. Avances en estudios genómicos en guayabo del país (Acca sellowiana). In: INIA, Programa Nacional Investigación Producción Frutícola; Universidad de la República (UdelaR), Facultad de Agronomía; MGAP, DGF (Dirección General Forestal). Encuentro Nacional de Frutos Nativos, 6. Canelones (Uruguay): INIA, 2012. p.16-22 (INIA Serie Actividades de Difusión; 679)| Biblioteca(s): INIA Las Brujas; INIA Tacuarembó. |
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| Registros recuperados : 7 | |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
23/02/2021 |
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Actualizado : |
23/02/2021 |
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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 : |
QUEZADA, M.; AMADEU, R. R.; VIGNALE, B.; CABRERA, D.; PRITSCH, C.; GARCIA, A. A. F. |
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Afiliación : |
MARIANELLA FERNANDA QUEZADA MACCHIAVELLO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.; RODRIGO RAMPAZO AMADEU, Laboratório de Genética Estatística, Departamento de Genética, Escola Superior de Agricultura "Luiz de Queiroz", Universidade de São Paulo, Piracicaba, Brazil; BEATRIZ VIGNALE, Mejoramiento Genético, Departamento de Producción Vegetal, Estación Experimental de la Facultad de Agronomía, Universidad de la República, Salto, Uruguay; CARLOS DANILO CABRERA BOLOGNA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CLARA PRITSCH, Laboratorio de Biotecnología, Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay; ANTONIO AUGUSTO FRANCO GARCIA, Laboratório de Genética Estatística, Departamento de Genética, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo, Piracicaba, Brazil. |
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Título : |
Construction of a high-density genetic map of Acca sellowiana (Berg.) Burret, an outcrossing species, based on two connected mapping populations. |
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Complemento del título : |
Original Research Article. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Frontiers in Plant Science, 23 February 2021, Volume 12, Article number 626811. OPEN ACCESS. Doi: https://doi.org/10.3389/fpls.2021.626811 |
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DOI : |
10.3389/fpls.2021.626811 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 06 November 2020; Accepted: 12 January 2021; Published: 23 February 2021.
Edited by: Maria Luisa Badenes, Instituto Valenciano de Investigaciones Agrarias, Spain.
Reviewed by: Shouvik Das, Indian Agricultural Research Institute (ICAR), India; Jonathan Elias Maldonado, Pontificia Universidad Católica de Chile, Chile.
Correspondence: Antonio Augusto Franco Garcia - augusto.garcia@usp.br
Specialty section: This article was submitted to Plant Breeding, a section of the journal Frontiers in Plant Science.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
This article is part of the research topic: Breeding Innovations in Underutilized Temperate Fruit Trees:
https://www.frontiersin.org/research-topics/14915/breeding-innovations-in-underutilized-temperate-fruit-trees#articles |
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Contenido : |
ABSTRACT.
Acca sellowiana, known as feijoa or pineapple guava, is a diploid, (2n = 2x = 22) outcrossing fruit tree species native to Uruguay and Brazil. The species stands out for
its highly aromatic fruits, with nutraceutical and therapeutic value. Despite its promising agronomical value, genetic studies on this species are limited. Linkage genetic maps are valuable tools for genetic and genomic studies, and constitute essential tools in breeding programs to support the development of molecular breeding strategies. A high-density composite genetic linkage map of A. sellowiana was constructed using two genetically connected populations: H5 (TCO × BR, N = 160) and H6 (TCO × DP, N = 184). Genotyping by sequencing (GBS) approach was successfully applied for developing single nucleotide polymorphism (SNP) markers. A total of 4,921 SNP markers were identified using the reference genome of the closely related species Eucalyptus grandis, whereas other 4,656 SNPs were discovered using a de novo pipeline. The individual H5 and H6 maps comprised 1,236 and 1,302 markers distributed over the expected 11 linkage groups, respectively. These two maps spanned a map length of 1,593 and 1,572 cM, with an average inter-marker distance of 1.29 and 1.21 cM, respectively. A large proportion of markers were common to both maps and showed a high degree of collinearity. The composite map consisted of 1,897 SNPs markers with a total map length of 1,314 cM and an average inter-marker distance of 0.69. A novel approach for the construction of composite maps where the meiosis information of individuals of two connected populations is captured in a single estimator is described. A high-density, accurate composite map based on a consensus ordering of markers provides a valuable contribution for future genetic research and breeding efforts in A. sellowiana. A novel mapping approach based on an estimation of multipopulation recombination fraction described here may be applied in the construction of dense composite genetic maps for any other outcrossing diploid species.
© 2021 Quezada, Amadeu, Vignale, Cabrera, Pritsch and Garcia. MenosABSTRACT.
Acca sellowiana, known as feijoa or pineapple guava, is a diploid, (2n = 2x = 22) outcrossing fruit tree species native to Uruguay and Brazil. The species stands out for
its highly aromatic fruits, with nutraceutical and therapeutic value. Despite its promising agronomical value, genetic studies on this species are limited. Linkage genetic maps are valuable tools for genetic and genomic studies, and constitute essential tools in breeding programs to support the development of molecular breeding strategies. A high-density composite genetic linkage map of A. sellowiana was constructed using two genetically connected populations: H5 (TCO × BR, N = 160) and H6 (TCO × DP, N = 184). Genotyping by sequencing (GBS) approach was successfully applied for developing single nucleotide polymorphism (SNP) markers. A total of 4,921 SNP markers were identified using the reference genome of the closely related species Eucalyptus grandis, whereas other 4,656 SNPs were discovered using a de novo pipeline. The individual H5 and H6 maps comprised 1,236 and 1,302 markers distributed over the expected 11 linkage groups, respectively. These two maps spanned a map length of 1,593 and 1,572 cM, with an average inter-marker distance of 1.29 and 1.21 cM, respectively. A large proportion of markers were common to both maps and showed a high degree of collinearity. The composite map consisted of 1,897 SNPs markers with a total map length of 1,314 cM and an average inter-marker distance of 0.69.... Presentar Todo |
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Palabras claves : |
Composite genetic map; Genotyping by sequencing; Multiparent family; Pineapple guava. |
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Thesagro : |
ACCA SELLOWIANA; FEIJOA; MYRTACEAE. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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URL : |
https://www.frontiersin.org/articles/10.3389/fpls.2021.626811/full
https://www.frontiersin.org/articles/10.3389/fpls.2021.626811/pdf
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Marc : |
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024 7 $a10.3389/fpls.2021.626811$2DOI
100 1 $aQUEZADA, M.
245 $aConstruction of a high-density genetic map of Acca sellowiana (Berg.) Burret, an outcrossing species, based on two connected mapping populations.$h[electronic resource]
260 $c2021
500 $aArticle history: Received: 06 November 2020; Accepted: 12 January 2021; Published: 23 February 2021. Edited by: Maria Luisa Badenes, Instituto Valenciano de Investigaciones Agrarias, Spain. Reviewed by: Shouvik Das, Indian Agricultural Research Institute (ICAR), India; Jonathan Elias Maldonado, Pontificia Universidad Católica de Chile, Chile. Correspondence: Antonio Augusto Franco Garcia - augusto.garcia@usp.br Specialty section: This article was submitted to Plant Breeding, a section of the journal Frontiers in Plant Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). This article is part of the research topic: Breeding Innovations in Underutilized Temperate Fruit Trees: https://www.frontiersin.org/research-topics/14915/breeding-innovations-in-underutilized-temperate-fruit-trees#articles
520 $aABSTRACT. Acca sellowiana, known as feijoa or pineapple guava, is a diploid, (2n = 2x = 22) outcrossing fruit tree species native to Uruguay and Brazil. The species stands out for its highly aromatic fruits, with nutraceutical and therapeutic value. Despite its promising agronomical value, genetic studies on this species are limited. Linkage genetic maps are valuable tools for genetic and genomic studies, and constitute essential tools in breeding programs to support the development of molecular breeding strategies. A high-density composite genetic linkage map of A. sellowiana was constructed using two genetically connected populations: H5 (TCO × BR, N = 160) and H6 (TCO × DP, N = 184). Genotyping by sequencing (GBS) approach was successfully applied for developing single nucleotide polymorphism (SNP) markers. A total of 4,921 SNP markers were identified using the reference genome of the closely related species Eucalyptus grandis, whereas other 4,656 SNPs were discovered using a de novo pipeline. The individual H5 and H6 maps comprised 1,236 and 1,302 markers distributed over the expected 11 linkage groups, respectively. These two maps spanned a map length of 1,593 and 1,572 cM, with an average inter-marker distance of 1.29 and 1.21 cM, respectively. A large proportion of markers were common to both maps and showed a high degree of collinearity. The composite map consisted of 1,897 SNPs markers with a total map length of 1,314 cM and an average inter-marker distance of 0.69. A novel approach for the construction of composite maps where the meiosis information of individuals of two connected populations is captured in a single estimator is described. A high-density, accurate composite map based on a consensus ordering of markers provides a valuable contribution for future genetic research and breeding efforts in A. sellowiana. A novel mapping approach based on an estimation of multipopulation recombination fraction described here may be applied in the construction of dense composite genetic maps for any other outcrossing diploid species. © 2021 Quezada, Amadeu, Vignale, Cabrera, Pritsch and Garcia.
650 $aACCA SELLOWIANA
650 $aFEIJOA
650 $aMYRTACEAE
653 $aComposite genetic map
653 $aGenotyping by sequencing
653 $aMultiparent family
653 $aPineapple guava
700 1 $aAMADEU, R. R.
700 1 $aVIGNALE, B.
700 1 $aCABRERA, D.
700 1 $aPRITSCH, C.
700 1 $aGARCIA, A. A. F.
773 $tFrontiers in Plant Science, 23 February 2021, Volume 12, Article number 626811. OPEN ACCESS. Doi: https://doi.org/10.3389/fpls.2021.626811
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