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Proteomic and metabolomic analyses provide insight into production of volatile and non-volatile flavor components in mandarin hybrid fruit

Overview of attention for article published in BMC Plant Biology, January 2015
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Title
Proteomic and metabolomic analyses provide insight into production of volatile and non-volatile flavor components in mandarin hybrid fruit
Published in
BMC Plant Biology, January 2015
DOI 10.1186/s12870-015-0466-9
Pubmed ID
Authors

Qibin Yu, Anne Plotto, Elizabeth A Baldwin, Jinhe Bai, Ming Huang, Yuan Yu, Harvinder S Dhaliwal, Frederick G Gmitter

Abstract

Although many of the volatile constituents of flavor and aroma in citrus have been identified, the knowledge of molecular mechanisms and regulation of volatile production are very limited. Our aim was to understand mechanisms of flavor volatile production and regulation in mandarin fruit. Fruits of two mandarin hybrids, Temple and Murcott with contrasting volatile and non- volatile profiles, were collected at three developmental stages. A combination of methods, including the isobaric tags for relative and absolute quantification (iTRAQ), quantitative real-time polymerase chain reaction, gas chromatography, and high-performance liquid chromatography, was used to identify proteins, measure gene expression levels, volatiles, sugars, organic acids and carotenoids. Two thirds of differentially expressed proteins were identified in the pathways of glycolysis, citric acid cycle, amino acid, sugar and starch metabolism. An enzyme encoding valencene synthase gene (Cstps1) was more abundant in Temple than in Murcott. Valencene accounted for 9.4% of total volatile content in Temple, whereas no valencene was detected in Murcott fruit. Murcott expression of Cstps1 is severely reduced. We showed that the diversion of valencene and other sesquiterpenes into the terpenoid pathway together with high production of apocarotenoid volatiles might have resulted in the lower concentration of carotenoids in Temple fruit.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 27%
Unspecified 5 19%
Student > Doctoral Student 4 15%
Professor > Associate Professor 4 15%
Student > Bachelor 2 8%
Other 4 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 54%
Unspecified 6 23%
Chemistry 2 8%
Medicine and Dentistry 2 8%
Engineering 2 8%
Other 0 0%

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 08 January 2016.
All research outputs
#5,931,723
of 6,920,380 outputs
Outputs from BMC Plant Biology
#833
of 1,025 outputs
Outputs of similar age
#246,724
of 302,853 outputs
Outputs of similar age from BMC Plant Biology
#67
of 83 outputs
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