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A Transcriptome Approach Toward Understanding Fruit Softening in Persimmon

Overview of attention for article published in Frontiers in Plant Science, September 2017
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Title
A Transcriptome Approach Toward Understanding Fruit Softening in Persimmon
Published in
Frontiers in Plant Science, September 2017
DOI 10.3389/fpls.2017.01556
Pubmed ID
Authors

Jihye Jung, Sang Chul Choi, Sunghee Jung, Byung-Kwan Cho, Gwang-Hwan Ahn, Stephen B. Ryu

Abstract

Persimmon (Diospyros kaki Thunb.), which is a climacteric fruit, softens in 3-5 weeks after harvest. However, little is known regarding the transcriptional changes that underlie persimmon ripening. In this study, high-throughput de novo RNA sequencing was performed to examine differential expression between freshly harvested (FH) and softened (ST) persimmon fruit peels. Using the Illumina HiSeq platform, we obtained 259,483,704 high quality reads and 94,856 transcripts. After the removal of redundant sequences, a total of 31,258 unigenes were predicted, 1,790 of which were differentially expressed between FH and ST persimmon (1,284 up-regulated and 506 down-regulated in ST compared with FH). The differentially expressed genes (DEGs) were further subjected to KEGG pathway analysis. Several pathways were found to be up-regulated in ST persimmon, including "amino sugar and nucleotide sugar metabolism." Pathways down-regulated in ST persimmon included "photosynthesis" and "carbon fixation in photosynthetic organisms." Expression patterns of genes in these pathways were further confirmed using quantitative real-time RT-PCR. Ethylene gas production during persimmon softening was monitored with gas chromatography and found to be correlated with the fruit softening. Transcription involved in ethylene biosynthesis, perception and signaling was up-regulated. On the whole, this study investigated the key genes involved in metabolic pathways of persimmon fruit softening, especially implicated in increased sugar metabolism, decreased photosynthetic capability, and increased ethylene production and other ethylene-related functions. This transcriptome analysis provides baseline information on the identity and modulation of genes involved in softening of persimmon fruits and can underpin the future development of technologies to delay softening in persimmon.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 18%
Student > Doctoral Student 2 9%
Student > Bachelor 2 9%
Professor > Associate Professor 2 9%
Researcher 2 9%
Other 5 23%
Unknown 5 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 32%
Biochemistry, Genetics and Molecular Biology 5 23%
Mathematics 1 5%
Arts and Humanities 1 5%
Social Sciences 1 5%
Other 1 5%
Unknown 6 27%
Attention Score in Context

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 20 October 2017.
All research outputs
#15,480,316
of 23,003,906 outputs
Outputs from Frontiers in Plant Science
#10,997
of 20,502 outputs
Outputs of similar age
#198,442
of 316,011 outputs
Outputs of similar age from Frontiers in Plant Science
#274
of 476 outputs
Altmetric has tracked 23,003,906 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,502 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 40th percentile – i.e., 40% 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 316,011 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 476 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.