↓ Skip to main content

Analysis of Arabidopsis floral transcriptome: detection of new florally expressed genes and expansion of Brassicaceae-specific gene families

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

Mentioned by

twitter
1 X user

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
71 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
Analysis of Arabidopsis floral transcriptome: detection of new florally expressed genes and expansion of Brassicaceae-specific gene families
Published in
Frontiers in Plant Science, January 2015
DOI 10.3389/fpls.2014.00802
Pubmed ID
Authors

Liangsheng Zhang, Lei Wang, Yulin Yang, Jie Cui, Fang Chang, Yingxiang Wang, Hong Ma

Abstract

The flower is essential for sexual reproduction of flowering plants and has been extensively studied. However, it is still not clear how many genes are expressed in the flower. Here, we performed RNA-seq analysis as a highly sensitive approach to investigate the Arabidopsis floral transcriptome at three developmental stages. We provide evidence that at least 23, 961 genes are active in the Arabidopsis flower, including 8512 genes that have not been reported as florally expressed previously. We compared gene expression at different stages and found that many genes encoding transcription factors are preferentially expressed in early flower development. Other genes with expression at distinct developmental stages included DUF577 in meiotic cells and DUF220, DUF1216, and Oleosin in stage 12 flowers. DUF1216 and DUF577 are Brassicaceae specific, and together with other families experienced expansion within the Brassicaceae lineage, suggesting novel/greater roles in Brassicaceae floral development than other plants. The large dataset from this study can serve as a resource for expression analysis of genes involved in flower development in Arabidopsis and for comparison with other species. Together, this work provides clues regarding molecular networks underlying flower development.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Brazil 1 1%
Unknown 69 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 28%
Researcher 10 14%
Student > Master 9 13%
Student > Doctoral Student 7 10%
Professor > Associate Professor 4 6%
Other 7 10%
Unknown 14 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 54%
Biochemistry, Genetics and Molecular Biology 12 17%
Medicine and Dentistry 2 3%
Energy 1 1%
Computer Science 1 1%
Other 2 3%
Unknown 15 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 07 February 2015.
All research outputs
#20,257,230
of 22,786,691 outputs
Outputs from Frontiers in Plant Science
#15,973
of 20,075 outputs
Outputs of similar age
#295,844
of 352,057 outputs
Outputs of similar age from Frontiers in Plant Science
#169
of 214 outputs
Altmetric has tracked 22,786,691 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,075 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% 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 352,057 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 214 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.