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A fast and simple LC-MS-based characterization of the flavonoid biosynthesis pathway for few seed(ling)s

Overview of attention for article published in BMC Plant Biology, September 2016
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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Title
A fast and simple LC-MS-based characterization of the flavonoid biosynthesis pathway for few seed(ling)s
Published in
BMC Plant Biology, September 2016
DOI 10.1186/s12870-016-0880-7
Pubmed ID
Authors

Benjamin Jaegle, Miran Kalle Uroic, Xu Holtkotte, Christina Lucas, Andreas Ole Termath, Hans-Günther Schmalz, Marcel Bucher, Ute Hoecker, Martin Hülskamp, Andrea Schrader

Abstract

(Pro)anthocyanidins are synthesized by the flavonoid biosynthesis pathway with multi-layered regulatory control. Methods for the analysis of the flavonoid composition in plants are well established for different purposes. However, they typically compromise either on speed or on depth of analysis. In this work we combined and optimized different protocols to enable the analysis of the flavonoid biosynthesis pathway with as little as possible biological material. We chose core substances of this metabolic pathway that serve as a fingerprint to recognize alterations in the main branches of the pathway. We used a simplified sample preparation, two deuterated internal standards, a short and efficient LC separation, highly sensitive detection with tandem MS in multiple reaction monitoring (MRM) mode and hydrolytic release of the core substances to reduce complexity. The method was optimized for Arabidopsis thaliana seeds and seedlings. We demonstrate that one Col-0 seed/seedling is sufficient to obtain a fingerprint of the core substances of the flavonoid biosynthesis pathway. For comparative analysis of different genotypes, we suggest the use of 10 seed(lings). The analysis of Arabidopsis thaliana mutants affecting steps in the pathway revealed foreseen and unexpected alterations of the pathway. For example, HY5 was found to differentially regulate kaempferol in seeds vs. seedlings. Furthermore, our results suggest that COP1 is a master regulator of flavonoid biosynthesis in seedlings but not of flavonoid deposition in seeds. When sample numbers are high and the plant material is limited, this method effectively facilitates metabolic fingerprinting with one seed(ling), revealing shifts and differences in the pathway. Moreover the combination of extracted non-hydrolysed, extracted hydrolysed and non-extracted hydrolysed samples proved useful to deduce the class of derivative from which the individual flavonoids have been released.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 25%
Student > Master 6 21%
Researcher 4 14%
Student > Doctoral Student 3 11%
Professor 1 4%
Other 3 11%
Unknown 4 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 54%
Biochemistry, Genetics and Molecular Biology 5 18%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Physics and Astronomy 1 4%
Chemistry 1 4%
Other 0 0%
Unknown 5 18%
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 01 June 2018.
All research outputs
#7,241,383
of 22,884,315 outputs
Outputs from BMC Plant Biology
#587
of 3,267 outputs
Outputs of similar age
#113,450
of 337,395 outputs
Outputs of similar age from BMC Plant Biology
#12
of 48 outputs
Altmetric has tracked 22,884,315 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 3,267 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 81% 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 337,395 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 65% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.