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Genus-wide variation in foliar polyphenolics in eucalypts

Overview of attention for article published in Phytochemistry, September 2017
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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Title
Genus-wide variation in foliar polyphenolics in eucalypts
Published in
Phytochemistry, September 2017
DOI 10.1016/j.phytochem.2017.09.014
Pubmed ID
Authors

Karen J. Marsh, Carsten Kulheim, Simon P. Blomberg, Andrew H. Thornhill, Joseph T. Miller, Ian R. Wallis, Dean Nicolle, Juha-Pekka Salminen, William J. Foley

Abstract

Many studies quantify total phenolics or total tannins, but understanding the ecological role of polyphenolic secondary metabolites requires at least an understanding of the diversity of phenolic groups present. We used UPLC-MS/MS to measure concentrations of different polyphenol groups - including the four most common tannin groups, the three most common flavonoid groups, and quinic acid derivatives - in foliage from 628 eucalypts from the genera Eucalyptus, Angophora and Corymbia. We also tested for phylogenetic signal in each of the phenolic groups. Many eucalypts contained high concentrations of polyphenols, particularly ellagitannins, which have been relatively poorly studied, but may possess strong oxidative activity. Because the biosynthetic pathways of many phenolic compounds share either precursors or enzymes, we found negative correlations between the concentrations of several of the constituents that we measured, including proanthocyanidins (PAs) and hydrolysable tannins (HTs), HTs and flavonol derivatives, and HTs and quinic acid derivatives. We observed moderate phylogenetic signal in all polyphenol constituents, apart from the concentration of the prodelphinidin subunit of PAs and the mean degree of polymerisation of PAs. These two traits, which have previously been shown to be important in determining plants' protein precipitation capacity, may have evolved under selection, perhaps in response to climate or herbivore pressure. Hence, the signature of evolutionary history appears to have been erased for these traits. This study is an important step in moving away from analysing "totals" to a better understanding of how phylogenetic effects influence phenolic composition, and how this in turn influences ecological processes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 23%
Student > Ph. D. Student 9 17%
Student > Bachelor 8 15%
Researcher 7 13%
Professor 2 4%
Other 4 8%
Unknown 11 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 21%
Chemistry 7 13%
Environmental Science 4 8%
Biochemistry, Genetics and Molecular Biology 3 6%
Arts and Humanities 2 4%
Other 8 15%
Unknown 18 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 December 2019.
All research outputs
#14,283,318
of 25,382,440 outputs
Outputs from Phytochemistry
#5,088
of 6,216 outputs
Outputs of similar age
#154,541
of 328,164 outputs
Outputs of similar age from Phytochemistry
#6
of 27 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,216 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 18th percentile – i.e., 18% 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 328,164 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 52% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.