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Transcriptome Analysis of Cytokinin Response in Tomato Leaves

Overview of attention for article published in PLOS ONE, January 2013
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Title
Transcriptome Analysis of Cytokinin Response in Tomato Leaves
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0055090
Pubmed ID
Authors

Xiuling Shi, Sarika Gupta, Ingrid E. Lindquist, Connor T. Cameron, Joann Mudge, Aaron M. Rashotte

Abstract

Tomato is one of the most economically and agriculturally important Solanaceous species and vegetable crops, serving as a model for examination of fruit biology and compound leaf development. Cytokinin is a plant hormone linked to the control of leaf development and is known to regulate a wide range of genes including many transcription factors. Currently there is little known of the leaf transcriptome in tomato and how it might be regulated by cytokinin. We employ high throughput mRNA sequencing technology and bioinformatic methodologies to robustly analyze cytokinin regulated tomato leaf transcriptomes. Leaf samples of two ages, 13d and 35d were treated with cytokinin or the solvent vehicle control dimethyl sulfoxide (DMSO) for 2 h or 24 h, after which RNA was extracted for sequencing. To confirm the accuracy of RNA sequencing results, we performed qPCR analysis of select transcripts identified as cytokinin regulated by the RNA sequencing approach. The resulting data provide the first hormone transcriptome analysis of leaves in tomato. Specifically we identified several previously untested tomato orthologs of cytokinin-related genes as well as numerous novel cytokinin-regulated transcripts in tomato leaves. Principal component analysis of the data indicates that length of cytokinin treatment and plant age are the major factors responsible for changes in transcripts observed in this study. Two hour cytokinin treatment showed a more robust transcript response indicated by both greater fold change of induced transcripts and the induction of twice as many cytokinin-related genes involved in signaling, metabolism, and transport in young vs. older leaves. This difference in transcriptome response in younger vs. older leaves was also found to a lesser extent with an extended (24 h) cytokinin treatment. Overall data presented here provides a solid foundation for future study of cytokinin and cytokinin regulated genes involved in compound leaf development or other developmental processes in tomato.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
Spain 1 1%
Netherlands 1 1%
Unknown 73 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 29%
Student > Ph. D. Student 18 24%
Student > Master 12 16%
Student > Doctoral Student 6 8%
Student > Bachelor 5 7%
Other 8 11%
Unknown 5 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 70%
Biochemistry, Genetics and Molecular Biology 10 13%
Medicine and Dentistry 2 3%
Environmental Science 1 1%
Immunology and Microbiology 1 1%
Other 1 1%
Unknown 8 11%
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 25 January 2013.
All research outputs
#12,675,514
of 22,694,633 outputs
Outputs from PLOS ONE
#98,070
of 193,729 outputs
Outputs of similar age
#149,471
of 280,879 outputs
Outputs of similar age from PLOS ONE
#2,372
of 5,029 outputs
Altmetric has tracked 22,694,633 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,729 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 48th percentile – i.e., 48% 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 280,879 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,029 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 51% of its contemporaries.