Title
Authors
Md. Parvez Mosharaf, Zobaer Akond, Md. Hadiul Kabir, Md. Nurul Haque Mollah*
Affiliation
Bioinformatics Laboratory, Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh
Md. Nurul Haque Mollah - Email: mollah.stat.bio@ru.ac.bd; *Corresponding author
Article Type
Research Article
Date
Received December 3, 2019; Revised December 10, 2019; Accepted December 11, 2019; Published December 11, 2019
Abstract
A fine-tuned RNA interference (RNAi) pathway has been developed by plants to restrain distinct biological processes in various life stages including stress responses, development and maintenance of genome integrity. The Dicer-Like (DCL) proteins starts the RNAi process by producing complementary double-stranded RNAs (dsRNAs) into small RNA duplexes (21-24 nucleotides) trigger the RNAi process. Nevertheless, these members of RNAi pathway have not been deciphered in one of the most economically important plant coffee (Coffea arabica). Therefore, it is of interest to report the identification and phylogenetic analysis of the DCL genes in C. arabica. We report 5 DCL genes and categorized them into three significant groups to interpret the evolutionary relationship with DCLs of the model plant Arabidopsis thaliana. Moreover, the subcellular location of the reported DCL proteins and the associated cis-acting regulatory elements were also identified and discussed in this report. The cis-regulatory elements indicated the biological and molecular functional diversity of the identified DCL genes related with plant growth and development. The present findings will provide a better basis for further experimental research on RNAi pathway genes in C. arabica.
Keywords
Dicer-Like, in silico approach, Coffea arabica
Citation
Mosharaf et al. Bioinformation 15(11): 824-831 (2019)
Edited by
P Kangueane
ISSN
0973-2063
Publisher
License
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
