Native to South America, the tomato is now grown almost worldwide. During its domestication and improvement, important selection signatures were fixed in certain agronomic and adaption traits. Such traits include fruit morphology, which became a major target for selection over the centuries. However, little is known about precisely when some mutations arose and how they spread through the germplasm. For instance, elongated fruit variants, originating both via mutations in SUN and OVATE genes, may have arisen prior to domestication or during tomato cultivation in Europe. To gain insights into the tomato admixture and selection pattern, the genome of two tomato herbarium specimens conserved in the Herbarium Porticense (PORUN) was sequenced. Comparison of the DNA of herbarium samples collected in Italy between 1750 and 1890 with that of living tomato accessions yielded insights into the history of tomato loci selection. Interestingly, the genotype of the more recent sample (LEO90), classified in 1890 as the oblungum variety, shows several private variants in loci implicated in fruit shape determination, also present also in wild tomato samples. In addition, LEO90, sampled in the nineteenth century, is genetically more distant from cultivated varieties than the SET17 genotype, collected in the eighteenth century, suggesting that elongated tomato varieties may originate from a cross between a landrace and a wild ancestor. Findings from our study have major implications for the understanding of tomato migration patterns and for the conservation of allelic diversity and loci recovery.
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http://dx.doi.org/10.1038/s41438-020-0322-4 | DOI Listing |
Chem Biodivers
January 2025
Chuxiong Normal University, Academy of Science and Technology, Chuxiong Normal University, Chuxiong, 675000,China, No. 456 Luchengnan Road, chuxiong, Academy of Science and Technology, 651000, chuxiong, CHINA.
Gray mold disease is caused by B. cinerea, which could severely reduce the production yield and quality of tomatoes. To explore more potential fungicides with new scaffolds for controlling the gray mold disease, ten aldehydes-thiourea derivatives were designed, synthesized and assayed for inhibitory activity against three plant pathogenic fungi.
View Article and Find Full Text PDFThe conclusions of the European Food Safety Authority (EFSA) following the peer review of the initial risk assessments carried out by the competent authorities of the rapporteur Member State, the Netherlands, and co-rapporteur Member State, France, for the pesticide active substance spinosad and the assessment of applications for maximum residue levels (MRLs) are reported. The context of the peer review was that required by Commission Implementing Regulation (EU) No 844/2012. The conclusions were reached on the basis of the evaluation of the representative uses of spinosad as insecticide on bulb/dry onions, maize (fodder and grain), sweet corn, grapes (table and wine), lettuce, potato, aubergine, pepper and tomato.
View Article and Find Full Text PDFHeliyon
January 2025
Faculty of Information Technology and Computer Sciences, Yarmouk University, Jordan.
Pest insects are a danger to both regional and global food security. In Jordan, the most productive crop is tomato. Jordan's agriculture output is threatened by insect infestations.
View Article and Find Full Text PDFHeliyon
January 2025
Water Resources Research Center, Arba Minch Water Technology Institute, Arba Minch University, Arba Minch, Ethiopia.
This study investigates the integrative effects of irrigation water management allowable depletion (MAD), furrow irrigation methods (FIM), and nitrogen fertilizer application rate (NFAR) on tomato yield components. These yield components include marketable, unmarketable, and total yield. Additionally, the study examines crop agronomy components such as plant height, number of branches, and root depth in semi-arid Southern Ethiopia.
View Article and Find Full Text PDFHeliyon
January 2025
Department of Horticulture, Kongju National University, Yesan, 32439, Republic of Korea.
Machine learning has been used in various areas, but there are few studies on price prediction for agricultural products. Here, a machine learning technique for the price prediction of tomato and apple fruits was attempted based on environment and price data for 12 years. The goal of this study is to discover 1) how much can we accurately predict the product prices with the environmental factors and 2) how much each environmental factor affects to the product prices.
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