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Plant Signaling & Behavior
Article . 2009 . Peer-reviewed
Data sources: Crossref
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Alternative polyadenylation

A mechanism maximizing transcriptome diversity in higher eukaryotes
Authors: Denghui, Xing; Qingshun Quinn, Li;

Alternative polyadenylation

Abstract

Based on comparative genome analyses, the increases in protein-coding gene number could not account for the increases of morphological and behavioral complexity of higher eukaryotes. Transcriptional regulations, alternative splicing and the involvement of non-coding RNA in gene expression regulations have been credited for the drastic increase of transcriptome complexity. However, an emerging theme of another mechanism that contributes to the formation of alternative mRNA 3'-ends is alternative polyadenylation (APA). First, recent studies indicated that APA is a wide spread phenomenon across the transcriptomes of higher eukaryotes and being regulated by developmental and environmental cues. Secondly, our characterization of the Arabidopsis polyadenylation factors suggested that plant polyadenylation has also evolved to regulate the expression of specific genes by means of APA and therefore the specific biological functions. Finally, Phylogenetic analyses of eukaryotic polyadenylation factors from several organisms revealed that the number of polyadenylation factors tends to increase in higher eukaryotes, which provides the potential for their functional differentiation in regulating gene expression through APA. Based on above evidence, we, thus, hypothesize that APA, serving as an additional mechanism, contributes to the complexity of higher eukaryotes.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
37
Top 10%
Top 10%
Top 10%
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