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Gene expression and metabolism preceding soft scald, a chilling injury of ‘Honeycrisp’ apple fruit

Overview of attention for article published in BMC Genomics, October 2016
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Title
Gene expression and metabolism preceding soft scald, a chilling injury of ‘Honeycrisp’ apple fruit
Published in
BMC Genomics, October 2016
DOI 10.1186/s12864-016-3019-1
Pubmed ID
Authors

Rachel S. Leisso, Nigel E. Gapper, James P. Mattheis, Nathanael L. Sullivan, Christopher B. Watkins, James J. Giovannoni, Robert J. Schaffer, Jason W. Johnston, Ines Hanrahan, Maarten L. A. T. M. Hertog, Bart M. Nicolaï, David R. Rudell

Abstract

'Honeycrisp' is an apple cultivar that is susceptible to soft scald, a chilling injury expressed as necrotic patches on the peel. Improved understanding of metabolism associated with the disorder would improve our understanding of soft scald and contribute to developing more effective management strategies for apple storage. It was expected that specific gene expression and specific metabolite levels in the peel would be linked with soft scald risk at harvest and/or specific time points during cold storage. Fruit from nine 'Honeycrisp' apple orchards that would eventually develop different incidences of soft scald between 4 and 8 weeks of cold air storage were used to contrast and determine differential transcriptomic and metabolomic changes during storage. Untargeted metabolic profiling revealed changes in a number of distinct pathways preceding and concurrent with soft scald symptom development, including elevated γ-aminobutryic acid (GABA), 1-hexanol, acylated steryl glycosides, and free p-coumaryl acyl esters. At harvest, levels of sesquiterpenoid and triterpenoid acyl esters were relatively higher in peel of fruit that did not later develop the disorder. RNA-seq driven gene expression profiling highlighted possible involvement of genes and associated metabolic processes with soft scald development. These included elevated expression of genes involved in lipid peroxidation and phenolic metabolism in fruit with soft scald, and isoprenoid/brassinosteroid metabolism in fruit that did not develop soft scald. Expression of other stress-related genes in fruit that developed soft scald included chlorophyll catabolism, cell wall loosening, and lipid transport while superoxide dismutases were up-regulated in fruit that did not develop the disorder. This study delineates the sequential transcriptomic and metabolomic changes preceding soft scald symptom development. Changes were differential depending on susceptibility of fruit to the disorder and could be attributed to key stress related and mediating pathways.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 2%
United States 1 2%
Unknown 60 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 23%
Student > Ph. D. Student 13 21%
Student > Master 8 13%
Student > Bachelor 7 11%
Professor > Associate Professor 4 6%
Other 10 16%
Unknown 6 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 58%
Biochemistry, Genetics and Molecular Biology 7 11%
Engineering 2 3%
Chemistry 2 3%
Environmental Science 1 2%
Other 4 6%
Unknown 10 16%
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 02 February 2017.
All research outputs
#13,247,635
of 22,893,031 outputs
Outputs from BMC Genomics
#4,775
of 10,670 outputs
Outputs of similar age
#164,207
of 319,855 outputs
Outputs of similar age from BMC Genomics
#103
of 247 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,670 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 53% 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 319,855 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 247 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 56% of its contemporaries.