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Transcriptomic Analysis Using Olive Varieties and Breeding Progenies Identifies Candidate Genes Involved in Plant Architecture

Overview of attention for article published in Frontiers in Plant Science, March 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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2 news outlets
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2 X users
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1 Facebook page
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1 Google+ user

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60 Mendeley
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Title
Transcriptomic Analysis Using Olive Varieties and Breeding Progenies Identifies Candidate Genes Involved in Plant Architecture
Published in
Frontiers in Plant Science, March 2016
DOI 10.3389/fpls.2016.00240
Pubmed ID
Authors

Juan J. González-Plaza, Inmaculada Ortiz-Martín, Antonio Muñoz-Mérida, Carmen García-López, José F. Sánchez-Sevilla, Francisco Luque, Oswaldo Trelles, Eduardo R. Bejarano, Raúl De La Rosa, Victoriano Valpuesta, Carmen R. Beuzón

Abstract

Plant architecture is a critical trait in fruit crops that can significantly influence yield, pruning, planting density and harvesting. Little is known about how plant architecture is genetically determined in olive, were most of the existing varieties are traditional with an architecture poorly suited for modern growing and harvesting systems. In the present study, we have carried out microarray analysis of meristematic tissue to compare expression profiles of olive varieties displaying differences in architecture, as well as seedlings from their cross pooled on the basis of their sharing architecture-related phenotypes. The microarray used, previously developed by our group has already been applied to identify candidates genes involved in regulating juvenile to adult transition in the shoot apex of seedlings. Varieties with distinct architecture phenotypes and individuals from segregating progenies displaying opposite architecture features were used to link phenotype to expression. Here, we identify 2252 differentially expressed genes (DEGs) associated to differences in plant architecture. Microarray results were validated by quantitative RT-PCR carried out on genes with functional annotation likely related to plant architecture. Twelve of these genes were further analyzed in individual seedlings of the corresponding pool. We also examined Arabidopsis mutants in putative orthologs of these targeted candidate genes, finding altered architecture for most of them. This supports a functional conservation between species and potential biological relevance of the candidate genes identified. This study is the first to identify genes associated to plant architecture in olive, and the results obtained could be of great help in future programs aimed at selecting phenotypes adapted to modern cultivation practices in this species.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 59 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 40%
Student > Ph. D. Student 11 18%
Student > Master 6 10%
Professor 3 5%
Professor > Associate Professor 3 5%
Other 5 8%
Unknown 8 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 53%
Biochemistry, Genetics and Molecular Biology 9 15%
Engineering 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Nursing and Health Professions 1 2%
Other 3 5%
Unknown 12 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 29 June 2016.
All research outputs
#1,663,742
of 22,846,662 outputs
Outputs from Frontiers in Plant Science
#582
of 20,177 outputs
Outputs of similar age
#28,966
of 298,613 outputs
Outputs of similar age from Frontiers in Plant Science
#10
of 482 outputs
Altmetric has tracked 22,846,662 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,177 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 97% 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 298,613 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 482 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.