Genomic analysis of wild tomato introgressions determining metabolism-and yield-associated traits
- Autores
- Kamenetzky, Laura; Asis, Ramón; Bassi, Sebastián; de Godoy, Fabiana; Bermúdez, Luisa; Fernie, Alisdair R.; van Sluys, Marie Anne; Vrebalov, Julia; Giovannoni, James J.; Rossi, Magdalena; Carrari, Fernando Oscar
- Año de publicación
- 2010
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- With the aim of determining the genetic basis of metabolic regulation in tomato fruit, we constructed a detailed physical map of genomic regions spanning previously described metabolic quantitative trait loci of a Solanum pennellii introgression line population. Two genomic libraries from S. pennellii were screened with 104 colocated markers from five selected genomic regions, and a total of 614 bacterial artificial chromosome (BAC)/cosmids were identified as seed clones. Integration of sequence data with the genetic and physical maps of Solanum lycopersicum facilitated the anchoring of 374 of these BAC/ cosmid clones. The analysis of this information resulted in a genome-wide map of a nondomesticated plant species and covers 10% of the physical distance of the selected regions corresponding to approximately 1% of the wild tomato genome. Comparative analyses revealed that S. pennellii and domesticated tomato genomes can be considered as largely colinear. A total of 1,238,705 bp from both BAC/cosmid ends and nine large insert clones were sequenced, annotated, and functionally categorized. The sequence data allowed the evaluation of the level of polymorphism between the wild and cultivated tomato species. An exhaustive microsynteny analysis allowed us to estimate the divergence date of S. pennellii and S. lycopersicum at 2.7 million years ago. The combined results serve as a reference for comparative studies both at the macrosyntenic and microsyntenic levels. They also provide a valuable tool for fine-mapping of quantitative trait loci in tomato. Furthermore, they will contribute to a deeper understanding of the regulatory factors underpinning metabolism and hence defining crop chemical composition. © 2010 American Society of Plant Biologists.
Fil: Kamenetzky, Laura. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina
Fil: Asis, Ramón. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina
Fil: Bassi, Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina
Fil: de Godoy, Fabiana. Universidade de Sao Paulo; Brasil
Fil: Bermúdez, Luisa. Universidade de Sao Paulo; Brasil
Fil: Fernie, Alisdair R.. Max Planck Institute for Molecular Plant Physiology; Alemania
Fil: van Sluys, Marie Anne. Universidade de Sao Paulo; Brasil
Fil: Vrebalov, Julia. Cornell University; Estados Unidos
Fil: Giovannoni, James J.. Cornell University; Estados Unidos
Fil: Rossi, Magdalena. Universidade de Sao Paulo; Brasil
Fil: Carrari, Fernando Oscar. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina - Materia
-
Tomato
Physical map
Metabolism
Introgression lines - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/67777
Ver los metadatos del registro completo
id |
CONICETDig_b278f052b0af8613cbd691db1a0284f6 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/67777 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Genomic analysis of wild tomato introgressions determining metabolism-and yield-associated traitsKamenetzky, LauraAsis, RamónBassi, Sebastiánde Godoy, FabianaBermúdez, LuisaFernie, Alisdair R.van Sluys, Marie AnneVrebalov, JuliaGiovannoni, James J.Rossi, MagdalenaCarrari, Fernando OscarTomatoPhysical mapMetabolismIntrogression lineshttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1With the aim of determining the genetic basis of metabolic regulation in tomato fruit, we constructed a detailed physical map of genomic regions spanning previously described metabolic quantitative trait loci of a Solanum pennellii introgression line population. Two genomic libraries from S. pennellii were screened with 104 colocated markers from five selected genomic regions, and a total of 614 bacterial artificial chromosome (BAC)/cosmids were identified as seed clones. Integration of sequence data with the genetic and physical maps of Solanum lycopersicum facilitated the anchoring of 374 of these BAC/ cosmid clones. The analysis of this information resulted in a genome-wide map of a nondomesticated plant species and covers 10% of the physical distance of the selected regions corresponding to approximately 1% of the wild tomato genome. Comparative analyses revealed that S. pennellii and domesticated tomato genomes can be considered as largely colinear. A total of 1,238,705 bp from both BAC/cosmid ends and nine large insert clones were sequenced, annotated, and functionally categorized. The sequence data allowed the evaluation of the level of polymorphism between the wild and cultivated tomato species. An exhaustive microsynteny analysis allowed us to estimate the divergence date of S. pennellii and S. lycopersicum at 2.7 million years ago. The combined results serve as a reference for comparative studies both at the macrosyntenic and microsyntenic levels. They also provide a valuable tool for fine-mapping of quantitative trait loci in tomato. Furthermore, they will contribute to a deeper understanding of the regulatory factors underpinning metabolism and hence defining crop chemical composition. © 2010 American Society of Plant Biologists.Fil: Kamenetzky, Laura. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; ArgentinaFil: Asis, Ramón. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; ArgentinaFil: Bassi, Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; ArgentinaFil: de Godoy, Fabiana. Universidade de Sao Paulo; BrasilFil: Bermúdez, Luisa. Universidade de Sao Paulo; BrasilFil: Fernie, Alisdair R.. Max Planck Institute for Molecular Plant Physiology; AlemaniaFil: van Sluys, Marie Anne. Universidade de Sao Paulo; BrasilFil: Vrebalov, Julia. Cornell University; Estados UnidosFil: Giovannoni, James J.. Cornell University; Estados UnidosFil: Rossi, Magdalena. Universidade de Sao Paulo; BrasilFil: Carrari, Fernando Oscar. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; ArgentinaAmerican Society of Plant Biologist2010-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/67777Kamenetzky, Laura; Asis, Ramón; Bassi, Sebastián; de Godoy, Fabiana; Bermúdez, Luisa; et al.; Genomic analysis of wild tomato introgressions determining metabolism-and yield-associated traits; American Society of Plant Biologist; Plant Physiology; 152; 4; 12-2010; 1772-17860032-0889CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1104/pp.109.150532info:eu-repo/semantics/altIdentifier/url/http://www.plantphysiol.org/content/152/4/1772info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:50:37Zoai:ri.conicet.gov.ar:11336/67777instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:50:37.614CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Genomic analysis of wild tomato introgressions determining metabolism-and yield-associated traits |
title |
Genomic analysis of wild tomato introgressions determining metabolism-and yield-associated traits |
spellingShingle |
Genomic analysis of wild tomato introgressions determining metabolism-and yield-associated traits Kamenetzky, Laura Tomato Physical map Metabolism Introgression lines |
title_short |
Genomic analysis of wild tomato introgressions determining metabolism-and yield-associated traits |
title_full |
Genomic analysis of wild tomato introgressions determining metabolism-and yield-associated traits |
title_fullStr |
Genomic analysis of wild tomato introgressions determining metabolism-and yield-associated traits |
title_full_unstemmed |
Genomic analysis of wild tomato introgressions determining metabolism-and yield-associated traits |
title_sort |
Genomic analysis of wild tomato introgressions determining metabolism-and yield-associated traits |
dc.creator.none.fl_str_mv |
Kamenetzky, Laura Asis, Ramón Bassi, Sebastián de Godoy, Fabiana Bermúdez, Luisa Fernie, Alisdair R. van Sluys, Marie Anne Vrebalov, Julia Giovannoni, James J. Rossi, Magdalena Carrari, Fernando Oscar |
author |
Kamenetzky, Laura |
author_facet |
Kamenetzky, Laura Asis, Ramón Bassi, Sebastián de Godoy, Fabiana Bermúdez, Luisa Fernie, Alisdair R. van Sluys, Marie Anne Vrebalov, Julia Giovannoni, James J. Rossi, Magdalena Carrari, Fernando Oscar |
author_role |
author |
author2 |
Asis, Ramón Bassi, Sebastián de Godoy, Fabiana Bermúdez, Luisa Fernie, Alisdair R. van Sluys, Marie Anne Vrebalov, Julia Giovannoni, James J. Rossi, Magdalena Carrari, Fernando Oscar |
author2_role |
author author author author author author author author author author |
dc.subject.none.fl_str_mv |
Tomato Physical map Metabolism Introgression lines |
topic |
Tomato Physical map Metabolism Introgression lines |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
With the aim of determining the genetic basis of metabolic regulation in tomato fruit, we constructed a detailed physical map of genomic regions spanning previously described metabolic quantitative trait loci of a Solanum pennellii introgression line population. Two genomic libraries from S. pennellii were screened with 104 colocated markers from five selected genomic regions, and a total of 614 bacterial artificial chromosome (BAC)/cosmids were identified as seed clones. Integration of sequence data with the genetic and physical maps of Solanum lycopersicum facilitated the anchoring of 374 of these BAC/ cosmid clones. The analysis of this information resulted in a genome-wide map of a nondomesticated plant species and covers 10% of the physical distance of the selected regions corresponding to approximately 1% of the wild tomato genome. Comparative analyses revealed that S. pennellii and domesticated tomato genomes can be considered as largely colinear. A total of 1,238,705 bp from both BAC/cosmid ends and nine large insert clones were sequenced, annotated, and functionally categorized. The sequence data allowed the evaluation of the level of polymorphism between the wild and cultivated tomato species. An exhaustive microsynteny analysis allowed us to estimate the divergence date of S. pennellii and S. lycopersicum at 2.7 million years ago. The combined results serve as a reference for comparative studies both at the macrosyntenic and microsyntenic levels. They also provide a valuable tool for fine-mapping of quantitative trait loci in tomato. Furthermore, they will contribute to a deeper understanding of the regulatory factors underpinning metabolism and hence defining crop chemical composition. © 2010 American Society of Plant Biologists. Fil: Kamenetzky, Laura. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina Fil: Asis, Ramón. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina Fil: Bassi, Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina Fil: de Godoy, Fabiana. Universidade de Sao Paulo; Brasil Fil: Bermúdez, Luisa. Universidade de Sao Paulo; Brasil Fil: Fernie, Alisdair R.. Max Planck Institute for Molecular Plant Physiology; Alemania Fil: van Sluys, Marie Anne. Universidade de Sao Paulo; Brasil Fil: Vrebalov, Julia. Cornell University; Estados Unidos Fil: Giovannoni, James J.. Cornell University; Estados Unidos Fil: Rossi, Magdalena. Universidade de Sao Paulo; Brasil Fil: Carrari, Fernando Oscar. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina |
description |
With the aim of determining the genetic basis of metabolic regulation in tomato fruit, we constructed a detailed physical map of genomic regions spanning previously described metabolic quantitative trait loci of a Solanum pennellii introgression line population. Two genomic libraries from S. pennellii were screened with 104 colocated markers from five selected genomic regions, and a total of 614 bacterial artificial chromosome (BAC)/cosmids were identified as seed clones. Integration of sequence data with the genetic and physical maps of Solanum lycopersicum facilitated the anchoring of 374 of these BAC/ cosmid clones. The analysis of this information resulted in a genome-wide map of a nondomesticated plant species and covers 10% of the physical distance of the selected regions corresponding to approximately 1% of the wild tomato genome. Comparative analyses revealed that S. pennellii and domesticated tomato genomes can be considered as largely colinear. A total of 1,238,705 bp from both BAC/cosmid ends and nine large insert clones were sequenced, annotated, and functionally categorized. The sequence data allowed the evaluation of the level of polymorphism between the wild and cultivated tomato species. An exhaustive microsynteny analysis allowed us to estimate the divergence date of S. pennellii and S. lycopersicum at 2.7 million years ago. The combined results serve as a reference for comparative studies both at the macrosyntenic and microsyntenic levels. They also provide a valuable tool for fine-mapping of quantitative trait loci in tomato. Furthermore, they will contribute to a deeper understanding of the regulatory factors underpinning metabolism and hence defining crop chemical composition. © 2010 American Society of Plant Biologists. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-12 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/67777 Kamenetzky, Laura; Asis, Ramón; Bassi, Sebastián; de Godoy, Fabiana; Bermúdez, Luisa; et al.; Genomic analysis of wild tomato introgressions determining metabolism-and yield-associated traits; American Society of Plant Biologist; Plant Physiology; 152; 4; 12-2010; 1772-1786 0032-0889 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/67777 |
identifier_str_mv |
Kamenetzky, Laura; Asis, Ramón; Bassi, Sebastián; de Godoy, Fabiana; Bermúdez, Luisa; et al.; Genomic analysis of wild tomato introgressions determining metabolism-and yield-associated traits; American Society of Plant Biologist; Plant Physiology; 152; 4; 12-2010; 1772-1786 0032-0889 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1104/pp.109.150532 info:eu-repo/semantics/altIdentifier/url/http://www.plantphysiol.org/content/152/4/1772 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
American Society of Plant Biologist |
publisher.none.fl_str_mv |
American Society of Plant Biologist |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
_version_ |
1842269042914623488 |
score |
13.13397 |