Mining Functional Elements in Messenger RNAs: Overview, Challenges, and Perspectives

• Published in: Frontiers in plant science Vol. 2; p. 84
• Main Authors: Ahmed, Firoz, Benedito, Vagner A., Zhao, Patrick Xuechun
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 01.01.2011; Frontiers Media S.A
• Subjects: AU-rich element; bioinformatics; cis-element; coding sequence; microRNA; Plant Science; Riboswitches; cis-elements; internal ribosome entry sites; polyadenylation signals; iron-responsive elements; zipcodes; bioinformatics; AU-rich elements; splicing regulatory elements
• ISSN: 1664-462X; 1664-462X
• DOI: 10.3389/fpls.2011.00084

Eukaryotic messenger RNA (mRNA) contains not only protein-coding regions but also a plethora of functional cis-elements that influence or coordinate a number of regulatory aspects of gene expression, such as mRNA stability, splicing forms, and translation rates. Understanding the rules that apply to each of these element types (e.g., whether the element is defined by primary or higher-order structure) allows for the discovery of novel mechanisms of gene expression as well as the design of transcripts with controlled expression. Bioinformatics plays a major role in creating databases and finding non-evident patterns governing each type of eukaryotic functional element. Much of what we currently know about mRNA regulatory elements in eukaryotes is derived from microorganism and animal systems, with the particularities of plant systems lagging behind. In this review, we provide a general introduction to the most well-known eukaryotic mRNA regulatory motifs (splicing regulatory elements, internal ribosome entry sites, iron-responsive elements, AU-rich elements, zipcodes, and polyadenylation signals) and describe available bioinformatics resources (databases and analysis tools) to analyze eukaryotic transcripts in search of functional elements, focusing on recent trends in bioinformatics methods and tool development. We also discuss future directions in the development of better computational tools based upon current knowledge of these functional elements. Improved computational tools would advance our understanding of the processes underlying gene regulations. We encourage plant bioinformaticians to turn their attention to this subject to help identify novel mechanisms of gene expression regulation using RNA motifs that have potentially evolved or diverged in plant species.