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Chemodiversity of two closely related tetraploid Centaurium species and their hexaploid hybrid: Metabolomic search for high-resolution taxonomic classifiers

Overview of attention for article published in Phytochemistry, August 2017
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2 tweeters

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33 Mendeley
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Title
Chemodiversity of two closely related tetraploid Centaurium species and their hexaploid hybrid: Metabolomic search for high-resolution taxonomic classifiers
Published in
Phytochemistry, August 2017
DOI 10.1016/j.phytochem.2017.04.005
Pubmed ID
Authors

Tijana Banjanac, Milan Dragićević, Branislav Šiler, Uroš Gašić, Borut Bohanec, Jasmina Nestorović Živković, Snežana Trifunović, Danijela Mišić

Abstract

Species within the genus Centaurium readily hybridize and polyploid complexes are often seen in natural populations. We describe phytochemical profiles of newly discovered allohexaploid hybrid, here named Centaurium pannonicum, and its parental tetraploid species C. erythraea and rare C. littorale ssp. compressum. Our aim was to examine chemodiversity of these taxa in the area of Vojvodina (North Serbia) and to perform metabolomics search for chemical classifiers which would provide high resolution discrimination of parental and hybrid individuals. In sum, UHPLC-MS/MS Orbitrap metabolomics fingerprinting revealed seventy compounds in methanol extracts. Despite the lack of qualitative chemical novelty in hybrid plants, UHPLC-qqqMS targeted metabolomics approach, aimed at three secoiridoid compounds and seventeen phenolics, pointed to considerable differences in quantitative composition of these dominant compounds among the plant taxa studied. In addition to the difference in the ploidy levels, the hybrid taxon was well distinguished from both parental species based on metabolite profiles, and, for most individuals, positioned intermediately to the parental taxa in both PCA and hierarchical clustering. After optimizing and comparing several statistical learning methods, it was possible to narrow the number of taxonomic classifiers to five (three xanthones, one secoiridoid glycoside, and one phenolic acid), while increasing the differentiation resolution. The presented metabolomics approach will certainly, along with morphometrics and molecular genetics studies, have high impact on further elucidation of complex relationships among taxa within the genus Centaurium.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Serbia 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 6 18%
Researcher 6 18%
Student > Master 6 18%
Student > Ph. D. Student 5 15%
Professor 1 3%
Other 2 6%
Unknown 7 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 27%
Chemistry 5 15%
Biochemistry, Genetics and Molecular Biology 2 6%
Business, Management and Accounting 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 5 15%
Unknown 10 30%

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 28 April 2017.
All research outputs
#7,654,236
of 12,247,570 outputs
Outputs from Phytochemistry
#3,854
of 4,440 outputs
Outputs of similar age
#148,551
of 264,954 outputs
Outputs of similar age from Phytochemistry
#8
of 20 outputs
Altmetric has tracked 12,247,570 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,440 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 264,954 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 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 50% of its contemporaries.