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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
23/02/2021 |
Actualizado : |
23/02/2021 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
QUEZADA, M.; AMADEU, R. R.; VIGNALE, B.; CABRERA, D.; PRITSCH, C.; GARCIA, A. A. F. |
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. |
Título : |
Construction of a high-density genetic map of Acca sellowiana (Berg.) Burret, an outcrossing species, based on two connected mapping populations. |
Complemento del título : |
Original Research Article. |
Fecha de publicación : |
2021 |
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 |
DOI : |
10.3389/fpls.2021.626811 |
Idioma : |
Inglés |
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 |
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 |
Palabras claves : |
Composite genetic map; Genotyping by sequencing; Multiparent family; Pineapple guava. |
Thesagro : |
ACCA SELLOWIANA; FEIJOA; MYRTACEAE. |
Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
URL : |
https://www.frontiersin.org/articles/10.3389/fpls.2021.626811/full
https://www.frontiersin.org/articles/10.3389/fpls.2021.626811/pdf
|
Marc : |
LEADER 03974naa a2200289 a 4500 001 1061756 005 2021-02-23 008 2021 bl uuuu u00u1 u #d 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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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
07/02/2023 |
Actualizado : |
07/02/2023 |
Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
Autor : |
FARIÑA, L.; BOIDO, E.; ARES, G.; GONZALEZ, N.; LADO, J.; CURBELO, R.; ALMEIDA, L.; MEDINA, K.; CARRAU, F.; DELLACASSA, E, |
Afiliación : |
LAURA FARIÑA, Área de Enología y Biotecnología de Fermentaciones, Departamento de Ciencia y Tecnología de los Alimentos, Facultad de Química, Universidad de la República, Av. General Flores 2124, 11800 Montevideo, Uruguay; EDUARDO BOIDO, a Área de Enología y Biotecnología de Fermentaciones, Departamento de Ciencia y Tecnología de Los Alimentos, Facultad de Química, Universidad de la República, Av. General Flores 2124, Montevideo, 11800, Uruguay; GASTÓN ARES, Sensometría y Ciencia Del Consumidor, Instituto Polo Tecnológico de Pando, Facultad de Química, Universidad de la República, By Pass de Rutas 8 y 101 s/n, Canelones, Pando, 91000, Uruguay; NOELA GONZALEZ, Área de Enología y Biotecnología de Fermentaciones, Departamento de Ciencia y Tecnología de Los Alimentos, Facultad de Química, Universidad de la República, Av. General Flores 2124, Montevideo, 11800, Uruguay; JOANNA LADO LINDNER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ROMINA CURBELO, Laboratorio de Biotecnología de Aromas, Departamento de Química Orgánica, Facultad de Química, Universidad de la República, Av. General Flores 2124, Montevideo, 11800, Uruguay; LUCÍA ALMEIDA, Área de Enología y Biotecnología de Fermentaciones, Departamento de Ciencia y Tecnología de Los Alimentos, Facultad de Química, Universidad de la República, Av. General Flores 2124, Montevideo, 11800, Uruguay; KARINA MEDINA, Área de Enología y Biotecnología de Fermentaciones, Departamento de Ciencia y Tecnología de Los Alimentos, Facultad de Química, Universidad de la República, Av. General Flores 2124, Montevideo, 11800, Uruguay; FRANCISCO CARRAU, Área de Enología y Biotecnología de Fermentaciones, Departamento de Ciencia y Tecnología de Los Alimentos, Facultad de Química, Universidad de la República, Av. General Flores 2124, Montevideo, 11800, Uruguay; EDUARDO DELLACASSA, Laboratorio de Biotecnología de Aromas, Departamento de Química Orgánica, Facultad de Química, Universidad de la República, Av. General Flores 2124, 11800 Montevideo, Uruguay. |
Título : |
Solid phase microextraction for the characterization of food aroma and particular sensory defects. (Chap.6) |
Fecha de publicación : |
2023 |
Fuente / Imprenta : |
In: ACS Symposium Series, 2023, Volume 1433, Pages 299 - 325. Flavors and Fragrances in Food Processing: Preparation and Characterization Methods. Balakrishnan P., Gopi S. (editors). doi: https://doi.org/10.1021/bk-2022-1433.ch006 |
Serie : |
(ACS Symposium Series; Volume 1433). |
ISSN : |
0097-6156 |
DOI : |
10.1021/bk-2022-1433.ch006 |
Idioma : |
Inglés |
Notas : |
Chapter book history: Publication Date (Web):December 28, 2022 -- Corresponding author: Dellacassa, E.; Laboratorio de Biotecnología de Aromas, Departamento de Química Orgánica, Facultad de Química, Universidad de la República, Av. General Flores 2124, Montevideo, Uruguay; email:edellac@fq.edu.uy -- Publisher:
American Chemical Society -- Volume editors: Balakrishnan P., Gopi S., ADSO Naturals India, Bangalore, Balakrishnan P., Gopi S., Curesupport Netherlands, Deventer. -- |
Contenido : |
ABSTRACT.- Solid Phase Microextraction or SPME was created to facilitate faster sample preparation, both in the laboratory and wherever the sampling site is located. Solid phase microextraction (SPME) was developed by Pawliszyn's group in 1990 as a solvent-free technique on the basis of adsorption-absorption theory. SPME is based on the principle that analytes are distributed between the sample matrix and the fiber coating. The fiber is built of fused silica and covered with a sorbent (polymeric materials identical to those used as stationary phase in gas chromatography columns). The transport of the analytes from the sample matrix to the fiber begins when the fiber comes into contact with the sample. The analytes are then desorbed by temperature or with an organic solvent. The extraction is complete and satisfactory when the analyte has reached an equilibrium concentration of distribution between the sample and the fiber. Even being experimentally a non-exhaustive extractive technique (it is an equilibrium), SPME has been rapidly adopted as a simple, miniaturized, and green technique, which combines sampling, extraction, concentration, cleanup and sample introduction in a single step. These characteristics transformed SPME in one of the most used techniques for different applications related to analytical chemistry. In this chapter, we will present different number of examples by which SPME focuses in the characterization of both food aroma and frequent odor defects.. © 2023 American Chemical Society. All rights reserved. MenosABSTRACT.- Solid Phase Microextraction or SPME was created to facilitate faster sample preparation, both in the laboratory and wherever the sampling site is located. Solid phase microextraction (SPME) was developed by Pawliszyn's group in 1990 as a solvent-free technique on the basis of adsorption-absorption theory. SPME is based on the principle that analytes are distributed between the sample matrix and the fiber coating. The fiber is built of fused silica and covered with a sorbent (polymeric materials identical to those used as stationary phase in gas chromatography columns). The transport of the analytes from the sample matrix to the fiber begins when the fiber comes into contact with the sample. The analytes are then desorbed by temperature or with an organic solvent. The extraction is complete and satisfactory when the analyte has reached an equilibrium concentration of distribution between the sample and the fiber. Even being experimentally a non-exhaustive extractive technique (it is an equilibrium), SPME has been rapidly adopted as a simple, miniaturized, and green technique, which combines sampling, extraction, concentration, cleanup and sample introduction in a single step. These characteristics transformed SPME in one of the most used techniques for different applications related to analytical chemistry. In this chapter, we will present different number of examples by which SPME focuses in the characterization of both food aroma and frequent odor defects.. © 202... Presentar Todo |
Palabras claves : |
Beverages; Extraction; Fibers; Food processing; Organic compounds; Volatile organic compounds. |
Asunto categoría : |
Q01 Ciencia y tecnología de los alimentos |
Marc : |
LEADER 03189naa a2200349 a 4500 001 1063955 005 2023-02-07 008 2023 bl uuuu u00u1 u #d 022 $a0097-6156 024 7 $a10.1021/bk-2022-1433.ch006$2DOI 100 1 $aFARIÑA, L. 245 $aSolid phase microextraction for the characterization of food aroma and particular sensory defects. (Chap.6)$h[electronic resource] 260 $c2023 490 $a(ACS Symposium Series; Volume 1433). 500 $aChapter book history: Publication Date (Web):December 28, 2022 -- Corresponding author: Dellacassa, E.; Laboratorio de Biotecnología de Aromas, Departamento de Química Orgánica, Facultad de Química, Universidad de la República, Av. General Flores 2124, Montevideo, Uruguay; email:edellac@fq.edu.uy -- Publisher: American Chemical Society -- Volume editors: Balakrishnan P., Gopi S., ADSO Naturals India, Bangalore, Balakrishnan P., Gopi S., Curesupport Netherlands, Deventer. -- 520 $aABSTRACT.- Solid Phase Microextraction or SPME was created to facilitate faster sample preparation, both in the laboratory and wherever the sampling site is located. Solid phase microextraction (SPME) was developed by Pawliszyn's group in 1990 as a solvent-free technique on the basis of adsorption-absorption theory. SPME is based on the principle that analytes are distributed between the sample matrix and the fiber coating. The fiber is built of fused silica and covered with a sorbent (polymeric materials identical to those used as stationary phase in gas chromatography columns). The transport of the analytes from the sample matrix to the fiber begins when the fiber comes into contact with the sample. The analytes are then desorbed by temperature or with an organic solvent. The extraction is complete and satisfactory when the analyte has reached an equilibrium concentration of distribution between the sample and the fiber. Even being experimentally a non-exhaustive extractive technique (it is an equilibrium), SPME has been rapidly adopted as a simple, miniaturized, and green technique, which combines sampling, extraction, concentration, cleanup and sample introduction in a single step. These characteristics transformed SPME in one of the most used techniques for different applications related to analytical chemistry. In this chapter, we will present different number of examples by which SPME focuses in the characterization of both food aroma and frequent odor defects.. © 2023 American Chemical Society. All rights reserved. 653 $aBeverages 653 $aExtraction 653 $aFibers 653 $aFood processing 653 $aOrganic compounds 653 $aVolatile organic compounds 700 1 $aBOIDO, E. 700 1 $aARES, G. 700 1 $aGONZALEZ, N. 700 1 $aLADO, J. 700 1 $aCURBELO, R. 700 1 $aALMEIDA, L. 700 1 $aMEDINA, K. 700 1 $aCARRAU, F. 700 1 $aDELLACASSA, E, 773 $tIn: ACS Symposium Series, 2023, Volume 1433, Pages 299 - 325. Flavors and Fragrances in Food Processing: Preparation and Characterization Methods. Balakrishnan P., Gopi S. (editors). doi: https://doi.org/10.1021/bk-2022-1433.ch006
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