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Genome-Wide Identification of Evolutionarily Conserved Alternative Splicing Events in Flowering Plants

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, March 2015
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Title
Genome-Wide Identification of Evolutionarily Conserved Alternative Splicing Events in Flowering Plants
Published in
Frontiers in Bioengineering and Biotechnology, March 2015
DOI 10.3389/fbioe.2015.00033
Pubmed ID
Authors

Srikar Chamala, Guanqiao Feng, Carolina Chavarro, W. Brad Barbazuk

Abstract

Alternative splicing (AS) plays important roles in many plant functions, but its conservation across the plant kingdom is not known. We describe a methodology to identify AS events and identify conserved AS events across large phylogenetic distances using RNA-Seq datasets. We applied this methodology to transcriptome data from nine angiosperms including Amborella, the single sister species to all other extant flowering plants. AS events within 40-70% of the expressed multi-exonic genes per species were found, 27,120 of which are conserved among two or more of the taxa studied. While many events are species specific, many others are shared across long evolutionary distances suggesting they have functional significance. Conservation of AS event data provides an estimate of the number of ancestral AS events present at each node of the tree representing the nine species studied. Furthermore, the presence or absence of AS isoforms between species with different whole genome duplication (WGD) histories provides the opportunity to examine the impact of WDG on AS potential. Examining AS in gene families identifies those with high rates of AS, and conservation can distinguish ancient events vs. recent or species specific adaptations. The MADS-box and SR protein families are found to represent families with low and high occurrences of AS, respectively, yet their AS events were likely present in the MRCA of angiosperms.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
United States 1 1%
Unknown 93 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 20%
Student > Ph. D. Student 18 19%
Student > Master 12 13%
Student > Bachelor 10 11%
Student > Doctoral Student 6 6%
Other 13 14%
Unknown 17 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 46%
Biochemistry, Genetics and Molecular Biology 22 23%
Computer Science 3 3%
Mathematics 2 2%
Engineering 2 2%
Other 4 4%
Unknown 18 19%
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 12 April 2015.
All research outputs
#18,403,994
of 22,796,179 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,388
of 6,524 outputs
Outputs of similar age
#192,700
of 263,459 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#32
of 43 outputs
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So far Altmetric has tracked 6,524 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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