Exploiting Genetic and Genomic Resources to Enhance Heat-Tolerance in Tomatoes
High temperature is one of the most detrimental abiotic stresses in tomatoes. Many studies highlighted that even small increases in temperature can alter the plant reproductive system, causing a significant reduction in tomato yield. The aim of this study was to exploit the phenotypic and genomic va...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-01-01
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| Series: | Agronomy |
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| Online Access: | http://www.mdpi.com/2073-4395/9/1/22 |
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| author | Valentino Ruggieri Roberta Calafiore Carlo Schettini Maria Manuela Rigano Fabrizio Olivieri Luigi Frusciante Amalia Barone |
| author_facet | Valentino Ruggieri Roberta Calafiore Carlo Schettini Maria Manuela Rigano Fabrizio Olivieri Luigi Frusciante Amalia Barone |
| author_sort | Valentino Ruggieri |
| collection | DOAJ |
| description | High temperature is one of the most detrimental abiotic stresses in tomatoes. Many studies highlighted that even small increases in temperature can alter the plant reproductive system, causing a significant reduction in tomato yield. The aim of this study was to exploit the phenotypic and genomic variations of a tomato landrace collection grown at high temperatures. Fifteen genotypes were selected as the best performing in two experimental fields. The selection was based on six yield-related traits, including flower earliness, number of flowers per inflorescence, fruit set, number of fruit per plant, fruit weight and yield per plant. In order to identify markers targeting traits that could be highly influenced by adverse climate conditions, such as flowering and fruit setting, an association mapping approach was undertaken exploiting a tomato high-throughput genomic array. The phenotypic variability observed allowed us to identify a total of 15 common markers associated with the studied traits. In particular, the most relevant associations co-localized with genes involved in the floral structure development, such as the style2.1 gene, or with genes directly involved in the response to abiotic stresses. These promising candidate genes will be functionally validated and transferred to a cultivated tomato to improve its performance under high temperatures. |
| first_indexed | 2024-12-17T20:44:25Z |
| format | Article |
| id | doaj.art-5cd01e55c2d84e9abce22cd90e1bcb25 |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-12-17T20:44:25Z |
| publishDate | 2019-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-5cd01e55c2d84e9abce22cd90e1bcb252022-12-21T21:33:12ZengMDPI AGAgronomy2073-43952019-01-01912210.3390/agronomy9010022agronomy9010022Exploiting Genetic and Genomic Resources to Enhance Heat-Tolerance in TomatoesValentino Ruggieri0Roberta Calafiore1Carlo Schettini2Maria Manuela Rigano3Fabrizio Olivieri4Luigi Frusciante5Amalia Barone6Department of Agricultural Sciences, University of Naples Federico II, Portici, 80055 Naples, ItalyDepartment of Agricultural Sciences, University of Naples Federico II, Portici, 80055 Naples, ItalyALMA SEGES Soc. Coop., Eboli, 84025 Salerno, ItalyDepartment of Agricultural Sciences, University of Naples Federico II, Portici, 80055 Naples, ItalyDepartment of Agricultural Sciences, University of Naples Federico II, Portici, 80055 Naples, ItalyDepartment of Agricultural Sciences, University of Naples Federico II, Portici, 80055 Naples, ItalyDepartment of Agricultural Sciences, University of Naples Federico II, Portici, 80055 Naples, ItalyHigh temperature is one of the most detrimental abiotic stresses in tomatoes. Many studies highlighted that even small increases in temperature can alter the plant reproductive system, causing a significant reduction in tomato yield. The aim of this study was to exploit the phenotypic and genomic variations of a tomato landrace collection grown at high temperatures. Fifteen genotypes were selected as the best performing in two experimental fields. The selection was based on six yield-related traits, including flower earliness, number of flowers per inflorescence, fruit set, number of fruit per plant, fruit weight and yield per plant. In order to identify markers targeting traits that could be highly influenced by adverse climate conditions, such as flowering and fruit setting, an association mapping approach was undertaken exploiting a tomato high-throughput genomic array. The phenotypic variability observed allowed us to identify a total of 15 common markers associated with the studied traits. In particular, the most relevant associations co-localized with genes involved in the floral structure development, such as the style2.1 gene, or with genes directly involved in the response to abiotic stresses. These promising candidate genes will be functionally validated and transferred to a cultivated tomato to improve its performance under high temperatures.http://www.mdpi.com/2073-4395/9/1/22tomato landracesyield-related traitsselection indexSolCAP genomic platformSNPassociation mappingcandidate genes |
| spellingShingle | Valentino Ruggieri Roberta Calafiore Carlo Schettini Maria Manuela Rigano Fabrizio Olivieri Luigi Frusciante Amalia Barone Exploiting Genetic and Genomic Resources to Enhance Heat-Tolerance in Tomatoes Agronomy tomato landraces yield-related traits selection index SolCAP genomic platform SNP association mapping candidate genes |
| title | Exploiting Genetic and Genomic Resources to Enhance Heat-Tolerance in Tomatoes |
| title_full | Exploiting Genetic and Genomic Resources to Enhance Heat-Tolerance in Tomatoes |
| title_fullStr | Exploiting Genetic and Genomic Resources to Enhance Heat-Tolerance in Tomatoes |
| title_full_unstemmed | Exploiting Genetic and Genomic Resources to Enhance Heat-Tolerance in Tomatoes |
| title_short | Exploiting Genetic and Genomic Resources to Enhance Heat-Tolerance in Tomatoes |
| title_sort | exploiting genetic and genomic resources to enhance heat tolerance in tomatoes |
| topic | tomato landraces yield-related traits selection index SolCAP genomic platform SNP association mapping candidate genes |
| url | http://www.mdpi.com/2073-4395/9/1/22 |
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