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Differences in Flower Transcriptome between Grapevine Clones Are Related to Their Cluster Compactness, Fruitfulness, and Berry Size

Overview of attention for article published in Frontiers in Plant Science, April 2017
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  • High Attention Score compared to outputs of the same age and source (80th percentile)

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Title
Differences in Flower Transcriptome between Grapevine Clones Are Related to Their Cluster Compactness, Fruitfulness, and Berry Size
Published in
Frontiers in Plant Science, April 2017
DOI 10.3389/fpls.2017.00632
Pubmed ID
Authors

Jérôme Grimplet, Javier Tello, Natalia Laguna, Javier Ibáñez

Abstract

Grapevine cluster compactness has a clear impact on fruit quality and health status, as clusters with greater compactness are more susceptible to pests and diseases and ripen more asynchronously. Different parameters related to inflorescence and cluster architecture (length, width, branching, etc.), fruitfulness (number of berries, number of seeds) and berry size (length, width) contribute to the final level of compactness. From a collection of 501 clones of cultivar Garnacha Tinta, two compact and two loose clones with stable differences for cluster compactness-related traits were selected and phenotyped. Key organs and developmental stages were selected for sampling and transcriptomic analyses. Comparison of global gene expression patterns in flowers at the end of bloom allowed identification of potential gene networks with a role in determining the final berry number, berry size and ultimately cluster compactness. A large portion of the differentially expressed genes were found in networks related to cell division (carbohydrates uptake, cell wall metabolism, cell cycle, nucleic acids metabolism, cell division, DNA repair). Their greater expression level in flowers of compact clones indicated that the number of berries and the berry size at ripening appear related to the rate of cell replication in flowers during the early growth stages after pollination. In addition, fluctuations in auxin and gibberellin signaling and transport related gene expression support that they play a central role in fruit set and impact berry number and size. Other hormones, such as ethylene and jasmonate may differentially regulate indirect effects, such as defense mechanisms activation or polyphenols production. This is the first transcriptomic based analysis focused on the discovery of the underlying gene networks involved in grapevine traits of grapevine cluster compactness, berry number and berry size.

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X Demographics

The data shown below were collected from the profiles of 9 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 21%
Student > Master 10 19%
Student > Ph. D. Student 9 17%
Student > Doctoral Student 4 8%
Student > Bachelor 3 6%
Other 5 10%
Unknown 10 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 65%
Biochemistry, Genetics and Molecular Biology 3 6%
Business, Management and Accounting 1 2%
Social Sciences 1 2%
Engineering 1 2%
Other 0 0%
Unknown 12 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 21 November 2017.
All research outputs
#6,426,912
of 22,971,207 outputs
Outputs from Frontiers in Plant Science
#3,641
of 20,408 outputs
Outputs of similar age
#102,358
of 309,827 outputs
Outputs of similar age from Frontiers in Plant Science
#110
of 584 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 20,408 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 81% 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 309,827 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 584 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.