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Transcriptional profiling of bud dormancy induction and release in oak by next-generation sequencing

Overview of attention for article published in BMC Genomics, April 2013
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Title
Transcriptional profiling of bud dormancy induction and release in oak by next-generation sequencing
Published in
BMC Genomics, April 2013
DOI 10.1186/1471-2164-14-236
Pubmed ID
Authors

Saneyoshi Ueno, Christophe Klopp, Jean Charles Leplé, Jérémy Derory, Céline Noirot, Valérie Léger, Elodie Prince, Antoine Kremer, Christophe Plomion, Grégoire Le Provost

Abstract

In temperate regions, the time lag between vegetative bud burst and bud set determines the duration of the growing season of trees (i.e. the duration of wood biomass production). Dormancy, the period during which the plant is not growing, allows trees to avoid cold injury resulting from exposure to low temperatures. An understanding of the molecular machinery controlling the shift between these two phenological states is of key importance in the context of climatic change. The objective of this study was to identify genes upregulated during endo- and ecodormancy, the two main stages of bud dormancy. Sessile oak is a widely distributed European white oak species. A forcing test on young trees was first carried out to identify the period most likely to correspond to these two stages. Total RNA was then extracted from apical buds displaying endo- and ecodormancy. This RNA was used for the generation of cDNA libraries, and in-depth transcriptome characterization was performed with 454 FLX pyrosequencing technology.

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The data shown below were collected from the profiles of 2 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 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 1%
Poland 1 1%
Belgium 1 1%
Canada 1 1%
Unknown 93 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 27%
Student > Ph. D. Student 23 24%
Student > Master 10 10%
Other 7 7%
Professor > Associate Professor 6 6%
Other 11 11%
Unknown 14 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 63 65%
Biochemistry, Genetics and Molecular Biology 5 5%
Environmental Science 2 2%
Chemical Engineering 1 1%
Philosophy 1 1%
Other 5 5%
Unknown 20 21%
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 11 April 2013.
All research outputs
#19,292,491
of 23,881,329 outputs
Outputs from BMC Genomics
#8,378
of 10,793 outputs
Outputs of similar age
#153,648
of 201,724 outputs
Outputs of similar age from BMC Genomics
#95
of 120 outputs
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So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.