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Identification of QTLs affecting scopolin and scopoletin biosynthesis in Arabidopsis thaliana

Overview of attention for article published in BMC Plant Biology, October 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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1 news outlet
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2 tweeters

Citations

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9 Dimensions

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34 Mendeley
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Title
Identification of QTLs affecting scopolin and scopoletin biosynthesis in Arabidopsis thaliana
Published in
BMC Plant Biology, October 2014
DOI 10.1186/s12870-014-0280-9
Pubmed ID
Authors

Joanna Siwinska, Leszek Kadzinski, Rafal Banasiuk, Anna Gwizdek-Wisniewska, Alexandre Olry, Bogdan Banecki, Ewa Lojkowska, Anna Ihnatowicz

Abstract

BackgroundScopoletin and its glucoside scopolin are important secondary metabolites synthesized in plants as a defense mechanism against various environmental stresses. They belong to coumarins, a class of phytochemicals with significant biological activities that is widely used in medical application and cosmetics industry. Although numerous studies showed that a variety of coumarins occurs naturally in several plant species, the details of coumarins biosynthesis and its regulation is not well understood. It was shown previously that coumarins (predominantly scopolin and scopoletin) occur in Arabidopsis thaliana (Arabidopsis) roots, but until now nothing is known about natural variation of their accumulation in this model plant. Therefore, the genetic architecture of coumarins biosynthesis in Arabidopsis has not been studied before.ResultsHere, the variation in scopolin and scopoletin content was assessed by comparing seven Arabidopsis accessions. Subsequently, a quantitative trait locus (QTL) mapping was performed with an Advanced Intercross Recombinant Inbred Lines (AI-RILs) mapping population EstC (Est-1¿×¿Col). In order to reveal the genetic basis of both scopolin and scopoletin biosynthesis, two sets of methanol extracts were made from Arabidopsis roots and one set was additionally subjected to enzymatic hydrolysis prior to quantification done by high-performance liquid chromatography (HPLC). We identified one QTL for scopolin and five QTLs for scopoletin accumulation. The identified QTLs explained 13.86% and 37.60% of the observed phenotypic variation in scopolin and scopoletin content, respectively. In silico analysis of genes located in the associated QTL intervals identified a number of possible candidate genes involved in coumarins biosynthesis.ConclusionsTogether, our results demonstrate for the first time that Arabidopsis is an excellent model for studying the genetic and molecular basis of natural variation in coumarins biosynthesis in plants. It additionally provides a basis for fine mapping and cloning of the genes involved in scopolin and scopoletin biosynthesis. Importantly, we have identified new loci for this biosynthetic process.

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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 24%
Student > Ph. D. Student 8 24%
Student > Bachelor 6 18%
Student > Postgraduate 3 9%
Professor 3 9%
Other 4 12%
Unknown 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 44%
Biochemistry, Genetics and Molecular Biology 9 26%
Chemistry 2 6%
Unspecified 1 3%
Medicine and Dentistry 1 3%
Other 1 3%
Unknown 5 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 May 2017.
All research outputs
#1,136,745
of 11,047,180 outputs
Outputs from BMC Plant Biology
#68
of 1,349 outputs
Outputs of similar age
#27,478
of 207,122 outputs
Outputs of similar age from BMC Plant Biology
#6
of 72 outputs
Altmetric has tracked 11,047,180 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,349 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 94% 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 207,122 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.