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Computational identification of miRNA and targets from expressed sequence tags of coffee (Coffea Arabica)
Joint Authors
Rahman, Mahfuz
Aktir, Arzuba
Islam, Muzahidul
Mondal, Shakhinur Islam
Mahmud, Zubayd
Jewel, Nurnabi Azad
Firdaws, Subayhah
Amin, Ruhul
Source
Saudi Journal of Biological Sciences
Issue
Vol. 21, Issue 1 (31 Jan. 2014), pp.3-12, 10 p.
Publisher
Publication Date
2014-01-31
Country of Publication
Saudi Arabia
No. of Pages
10
Main Subjects
Topics
Abstract EN
MicroRNAs (miRNAs)are the group of ~22 nucleotides long noncoding small endogenous and evolutionary conserved post-transcriptional regulatory RNAs, which show an enormous role in various biological and metabolic processes in both animals and plants.
To date not a singlemi RNA has been identified in coffee (Coffea arabica), which is an economically important plant of Rubiaceae family.
In this study a well-developed, powerful and comparative computational approach, EST-based homology search is applied to find potential miRNA of coffee.
We blasted publicly available EST sequences obtained from NCBI Gen- Bank against previously known plant miRNAs.
For the first time, one potential miRNA from a large miR-NA family with appropriate fold back structures was identified through a series of filtration criteria.
A total of six potential target genes in Arabidopsis were identified based on their sequence complementarities.
The target genes mainly encode transport inhibitor like protein, transcription factor, DNA-binding protein, andGRR1-like protein, and these genes play an important role in various biological processes like response to chitin, cold, salt stress, water deprivation etc.
Overall, findings from this study will accelerate the way for further researches of miRNAs and their functions in coffee.
American Psychological Association (APA)
Aktir, Arzuba& Islam, Muzahidul& Mondal, Shakhinur Islam& Mahmud, Zubayd& Jewel, Nurnabi Azad& Firdaws, Subayhah…[et al.]. 2014. Computational identification of miRNA and targets from expressed sequence tags of coffee (Coffea Arabica). Saudi Journal of Biological Sciences،Vol. 21, no. 1, pp.3-12.
https://search.emarefa.net/detail/BIM-351138
Modern Language Association (MLA)
Mondal, Shakhinur Islam…[et al.]. Computational identification of miRNA and targets from expressed sequence tags of coffee (Coffea Arabica). Saudi Journal of Biological Sciences Vol. 21, no. 1 (Jan. 2014), pp.3-12.
https://search.emarefa.net/detail/BIM-351138
American Medical Association (AMA)
Aktir, Arzuba& Islam, Muzahidul& Mondal, Shakhinur Islam& Mahmud, Zubayd& Jewel, Nurnabi Azad& Firdaws, Subayhah…[et al.]. Computational identification of miRNA and targets from expressed sequence tags of coffee (Coffea Arabica). Saudi Journal of Biological Sciences. 2014. Vol. 21, no. 1, pp.3-12.
https://search.emarefa.net/detail/BIM-351138
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 11-12
Record ID
BIM-351138