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A new mutant genetic resource for tomato crop improvement by TILLING technology

BACKGROUND: In the last decade, the availability of gene sequences of many plant species, including tomato, has encouraged the development of strategies that do not rely on genetic transformation techniques (GMOs) for imparting desired traits in crops. One of these new emerging technology is TILLING...

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Autores principales: Minoia, Silvia, Petrozza, Angelo, D'Onofrio, Olimpia, Piron, Florence, Mosca, Giuseppina, Sozio, Giovanni, Cellini, Francesco, Bendahmane, Abdelhafid, Carriero, Filomena
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2845601/
https://www.ncbi.nlm.nih.gov/pubmed/20222995
http://dx.doi.org/10.1186/1756-0500-3-69
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author Minoia, Silvia
Petrozza, Angelo
D'Onofrio, Olimpia
Piron, Florence
Mosca, Giuseppina
Sozio, Giovanni
Cellini, Francesco
Bendahmane, Abdelhafid
Carriero, Filomena
author_facet Minoia, Silvia
Petrozza, Angelo
D'Onofrio, Olimpia
Piron, Florence
Mosca, Giuseppina
Sozio, Giovanni
Cellini, Francesco
Bendahmane, Abdelhafid
Carriero, Filomena
author_sort Minoia, Silvia
collection PubMed
description BACKGROUND: In the last decade, the availability of gene sequences of many plant species, including tomato, has encouraged the development of strategies that do not rely on genetic transformation techniques (GMOs) for imparting desired traits in crops. One of these new emerging technology is TILLING (Targeting Induced Local Lesions In Genomes), a reverse genetics tool, which is proving to be very valuable in creating new traits in different crop species. RESULTS: To apply TILLING to tomato, a new mutant collection was generated in the genetic background of the processing tomato cultivar Red Setter by treating seeds with two different ethylemethane sulfonate doses (0.7% and 1%). An associated phenotype database, LycoTILL, was developed and a TILLING platform was also established. The interactive and evolving database is available online to the community for phenotypic alteration inquiries. To validate the Red Setter TILLING platform, induced point mutations were searched in 7 tomato genes with the mismatch-specific ENDO1 nuclease. In total 9.5 kb of tomato genome were screened and 66 nucleotide substitutions were identified. The overall mutation density was estimated and it resulted to be 1/322 kb and 1/574 kb for the 1% EMS and 0.7% EMS treatment respectively. CONCLUSIONS: The mutation density estimated in our collection and its comparison with other TILLING populations demonstrate that the Red Setter genetic resource is suitable for use in high-throughput mutation discovery. The Red Setter TILLING platform is open to the research community and is publicly available via web for requesting mutation screening services.
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spelling pubmed-28456012010-03-26 A new mutant genetic resource for tomato crop improvement by TILLING technology Minoia, Silvia Petrozza, Angelo D'Onofrio, Olimpia Piron, Florence Mosca, Giuseppina Sozio, Giovanni Cellini, Francesco Bendahmane, Abdelhafid Carriero, Filomena BMC Res Notes Research article BACKGROUND: In the last decade, the availability of gene sequences of many plant species, including tomato, has encouraged the development of strategies that do not rely on genetic transformation techniques (GMOs) for imparting desired traits in crops. One of these new emerging technology is TILLING (Targeting Induced Local Lesions In Genomes), a reverse genetics tool, which is proving to be very valuable in creating new traits in different crop species. RESULTS: To apply TILLING to tomato, a new mutant collection was generated in the genetic background of the processing tomato cultivar Red Setter by treating seeds with two different ethylemethane sulfonate doses (0.7% and 1%). An associated phenotype database, LycoTILL, was developed and a TILLING platform was also established. The interactive and evolving database is available online to the community for phenotypic alteration inquiries. To validate the Red Setter TILLING platform, induced point mutations were searched in 7 tomato genes with the mismatch-specific ENDO1 nuclease. In total 9.5 kb of tomato genome were screened and 66 nucleotide substitutions were identified. The overall mutation density was estimated and it resulted to be 1/322 kb and 1/574 kb for the 1% EMS and 0.7% EMS treatment respectively. CONCLUSIONS: The mutation density estimated in our collection and its comparison with other TILLING populations demonstrate that the Red Setter genetic resource is suitable for use in high-throughput mutation discovery. The Red Setter TILLING platform is open to the research community and is publicly available via web for requesting mutation screening services. BioMed Central 2010-03-12 /pmc/articles/PMC2845601/ /pubmed/20222995 http://dx.doi.org/10.1186/1756-0500-3-69 Text en Copyright ©2010 Carriero et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research article
Minoia, Silvia
Petrozza, Angelo
D'Onofrio, Olimpia
Piron, Florence
Mosca, Giuseppina
Sozio, Giovanni
Cellini, Francesco
Bendahmane, Abdelhafid
Carriero, Filomena
A new mutant genetic resource for tomato crop improvement by TILLING technology
title A new mutant genetic resource for tomato crop improvement by TILLING technology
title_full A new mutant genetic resource for tomato crop improvement by TILLING technology
title_fullStr A new mutant genetic resource for tomato crop improvement by TILLING technology
title_full_unstemmed A new mutant genetic resource for tomato crop improvement by TILLING technology
title_short A new mutant genetic resource for tomato crop improvement by TILLING technology
title_sort new mutant genetic resource for tomato crop improvement by tilling technology
topic Research article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2845601/
https://www.ncbi.nlm.nih.gov/pubmed/20222995
http://dx.doi.org/10.1186/1756-0500-3-69
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