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Wide-genome QTL mapping of fruit quality traits in a tomato RIL population derived from the wild-relative species Solanum pimpinellifolium L.

Overview of attention for article published in Theoretical and Applied Genetics, July 2015
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  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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Title
Wide-genome QTL mapping of fruit quality traits in a tomato RIL population derived from the wild-relative species Solanum pimpinellifolium L.
Published in
Theoretical and Applied Genetics, July 2015
DOI 10.1007/s00122-015-2563-4
Pubmed ID
Authors

Carmen Capel, Asunción Fernández del Carmen, Juan Manuel Alba, Viviana Lima-Silva, Francesc Hernández-Gras, María Salinas, Albert Boronat, Trinidad Angosto, Miguel A. Botella, Rafael Fernández-Muñoz, Antonio Granell, Juan Capel, Rafael Lozano

Abstract

QTL and candidate genes associated to fruit quality traits have been identified in a tomato genetic map derived from Solanum pimpinellifolium L., providing molecular tools for marker-assisted breeding. The study of genetic, physiological, and molecular pathways involved in fruit development and ripening has considered tomato as the model fleshy-fruited species par excellence. Fruit quality traits regarding organoleptic and nutritional properties are major goals for tomato breeding programs since they largely decide the acceptance of tomato in both fresh and processing markets. Here we report the genetic mapping of single-locus and epistatic quantitative trait loci (QTL) associated to the fruit size and content of sugars, acids, vitamins, and carotenoids from the characterization of a RIL population derived from the wild-relative Solanum pimpinellifolium TO-937. A genetic map composed of 353 molecular markers including 13 genes regulating fruit and developmental traits was generated, which spanned 1007 cM with an average distance between markers of 2.8 cM. Genetic analyses indicated that fruit quality traits analyzed in this work exhibited transgressive segregation and that additive and epistatic effects are the major genetic basis of fruit quality traits. Moreover, most mapped QTL showed environment interaction effects. FrW7.1 fruit size QTL co-localized with QTL involved in soluble solid, vitamin C, and glucose contents, dry weight/fresh weight, and most importantly with the Sucrose Phosphate Synthase gene, suggesting that polymorphisms in this gene could influence genetic variation in several fruit quality traits. In addition, 1-deoxy-D-xylulose 5-phosphate synthase and Tocopherol cyclase genes were identified as candidate genes underlying QTL variation in beta-carotene and vitamin C. Together, our results provide useful genetic and molecular information regarding fruit quality and new chances for tomato breeding by implementing marker-assisted selection.

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Mendeley readers

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The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 2%
Indonesia 1 <1%
Netherlands 1 <1%
Israel 1 <1%
United States 1 <1%
Unknown 98 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 22%
Student > Ph. D. Student 19 18%
Student > Master 14 13%
Student > Doctoral Student 8 8%
Student > Bachelor 8 8%
Other 12 12%
Unknown 20 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 65 63%
Biochemistry, Genetics and Molecular Biology 9 9%
Chemical Engineering 1 <1%
Nursing and Health Professions 1 <1%
Arts and Humanities 1 <1%
Other 4 4%
Unknown 23 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 December 2015.
All research outputs
#18,530,416
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#3,046
of 3,565 outputs
Outputs of similar age
#179,076
of 264,032 outputs
Outputs of similar age from Theoretical and Applied Genetics
#15
of 45 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,565 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.