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Metabolite Profiling of Italian Tomato Landraces with Different Fruit Types

Overview of attention for article published in Frontiers in Plant Science, May 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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93 Mendeley
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Title
Metabolite Profiling of Italian Tomato Landraces with Different Fruit Types
Published in
Frontiers in Plant Science, May 2016
DOI 10.3389/fpls.2016.00664
Pubmed ID
Authors

Svetlana Baldina, Maurizio E. Picarella, Antonio D. Troise, Anna Pucci, Valentino Ruggieri, Rosalia Ferracane, Amalia Barone, Vincenzo Fogliano, Andrea Mazzucato

Abstract

Increased interest toward traditional tomato varieties is fueled by the need to rescue desirable organoleptic traits and to improve the quality of fresh and processed tomatoes in the market. In addition, the phenotypic and genetic variation preserved in tomato landraces represents a means to understand the genetic basis of traits related to health and organoleptic aspects and improve them in modern varieties. To establish a framework for this approach, we studied the content of several metabolites in a panel of Italian tomato landraces categorized into three broad fruit type classes (flattened/ribbed, pear/oxheart, round/elongate). Three modern hybrids, corresponding to the three fruit shape typologies, were included as reference. Red ripe fruits were morphologically characterized and biochemically analyzed for their content in glycoalkaloids, phenols, amino acids, and Amadori products. The round/elongate types showed a higher content in glycoalkaloids, whereas flattened types had higher levels of phenolic compounds. Flattened tomatoes were also rich in total amino acids and in particular in glutamic acid. Multivariate analysis of amino acid content clearly separated the three classes of fruit types. Making allowance of the very low number of genotypes, phenotype-marker relationships were analyzed after retrieving single nucleotide polymorphisms (SNPs) among the landraces available in the literature. Sixty-six markers were significantly associated with the studied traits. The positions of several of these SNPs showed correspondence with already described genomic regions and QTLs supporting the reliability of the association. Overall the data indicated that significant changes in quality-related metabolites occur depending on the genetic background in traditional tomato germplasm, frequently according to specific fruit shape categories. Such a variability is suitable to harness association mapping for metabolic quality traits using this germplasm as an experimental population, paving the way for investigating their genetic/molecular basis, and facilitating breeding for quality-related compounds in tomato fruits.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
France 1 1%
Uruguay 1 1%
Israel 1 1%
United States 1 1%
Unknown 88 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 26%
Student > Ph. D. Student 20 22%
Student > Master 12 13%
Student > Doctoral Student 8 9%
Student > Postgraduate 3 3%
Other 9 10%
Unknown 17 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 59%
Biochemistry, Genetics and Molecular Biology 6 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Unspecified 2 2%
Chemistry 2 2%
Other 3 3%
Unknown 22 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 23 December 2022.
All research outputs
#7,441,700
of 23,402,852 outputs
Outputs from Frontiers in Plant Science
#4,629
of 21,345 outputs
Outputs of similar age
#115,893
of 335,827 outputs
Outputs of similar age from Frontiers in Plant Science
#85
of 529 outputs
Altmetric has tracked 23,402,852 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 21,345 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 335,827 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 529 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.