↓ Skip to main content

Molecular characterization of SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) gene family from Citrus and the effect of fruit load on their expression

Overview of attention for article published in Frontiers in Plant Science, May 2015
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
47 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Molecular characterization of SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) gene family from Citrus and the effect of fruit load on their expression
Published in
Frontiers in Plant Science, May 2015
DOI 10.3389/fpls.2015.00389
Pubmed ID
Authors

Liron Shalom, Lyudmila Shlizerman, Naftali Zur, Adi Doron-Faigenboim, Eduardo Blumwald, Avi Sadka

Abstract

We recently identified a Citrus gene encoding SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) transcription factor that contained a sequence complementary to miR156. Genes of the SPL family are known to play a role in flowering regulation and phase transition. In Citrus, the mRNA levels of the gene were significantly altered by fruit load in buds; under heavy fruit load (ON-Crop trees), known to suppress next year flowering, the mRNA levels were down-regulated, while fruit removal (de-fruiting), inducing next-year flowering, resulted in its up-regulation. In the current work, we set on to study the function of the gene. We showed that the Citrus SPL was able promote flowering independently of photoperiod in Arabidopsis, while miR156 repressed its flowering-promoting activity. In order to find out if fruit load affected the expression of additional genes of the SPL family, we identified and classified all SPL members in the Citrus genome, and studied their seasonal expression patterns in buds and leaves, and in response to de-fruiting. Results showed that two additional SPL-like genes and miR172, known to be induced by SPLs in Arabidopsis, were altered by fruit load. The relationships between these factors in relation to the fruit-load effect on Citrus flowering are discussed.

X Demographics

X Demographics

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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Argentina 1 2%
Unknown 45 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 21%
Student > Ph. D. Student 9 19%
Researcher 7 15%
Student > Bachelor 4 9%
Student > Postgraduate 3 6%
Other 6 13%
Unknown 8 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 62%
Biochemistry, Genetics and Molecular Biology 5 11%
Environmental Science 1 2%
Engineering 1 2%
Unknown 11 23%
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 16 June 2015.
All research outputs
#18,409,030
of 22,803,211 outputs
Outputs from Frontiers in Plant Science
#13,709
of 20,080 outputs
Outputs of similar age
#192,625
of 266,726 outputs
Outputs of similar age from Frontiers in Plant Science
#190
of 274 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,080 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 20th percentile – i.e., 20% 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 266,726 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 274 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.