Original ArticlePharmacognosy MagazineVol. 13 | Issue 50s | 2017 | pp. S196–S200Open access
Identification and Analysis of Jasmonate Pathway Genes in Coffea canephora (Robusta Coffee) by In Silico Approach
- 1*,
- 1
- 1 Plant Biotechnology Division, Unit of Central Coffee Research Institute, Coffee Board, Mysore, Karnataka, India.
Published in Pharmacognosy Magazine
Correspondence: Kosaraju Bharathi
Plant Biotechnology Division, Unit of Central Coffee Research Institute, Coffee Board, Mysore, Karnataka, India.
Email: bharathi.kosaraju@gmail.com
Copyright: © 2017 Manuscript Technomedia. This is an open access article.
- Published:
- Jul 11, 2017
- Received:
- Nov 22, 2016
- DOI:
- 10.4103/pm.pm_518_16
How to cite
Bharathi, K., & Sreenath, H. L. (2017). Identification and Analysis of Jasmonate Pathway Genes in Coffea canephora (Robusta Coffee) by In Silico Approach. Pharmacognosy Magazine, 13(50s), S196–S200. https://doi.org/10.4103/pm.pm_518_16
Abstract
Background: Coffea canephora is the commonly cultivated coffee species in the world along with Coffea arabica. Different pests and pathogens affect the production and quality of the coffee. Jasmonic acid (JA) is a plant hormone which plays an important role in plants growth, development, and defense mechanisms, particularly against insect pests. The key enzymes involved in the production of JA are lipoxygenase, allene oxide synthase, allene oxide cyclase, and 12‑oxo‑phytodienoic reductase. There is no report on the genes involved in JA pathway in coffee plants. Objective: We made an attempt to identify and analyze the genes coding for these enzymes in C. canephora. Materials and Methods: First, protein sequences of jasmonate pathway genes from model plant Arabidopsis thaliana were identified in the National Center for Biotechnology Information (NCBI) database. These protein sequences were used to search the web‑based database Coffee Genome Hub to identify homologous protein sequences in C. canephora genome using Basic Local Alignment Search Tool (BLAST). Results: Homologous protein sequences for key genes were identified in the C. canephora genome database. Protein sequences of the top matches were in turn used to search in NCBI database using BLAST tool to confirm the identity of the selected proteins and to identify closely related genes in species. The protein sequences from C. canephora database and the top matches in NCBI were aligned, and phylogenetic trees were constructed using MEGA6 software and identified the genetic distance of the respective genes. The study identified the four key genes of JA pathway in C. canephora, confirming the conserved nature of the pathway in coffee. The study expected to be useful to further explore the defense mechanisms of coffee plants. Conclusion: JA is a plant hormone that plays an important role in plant defense against insect pests. Genes coding for the 4 key enzymes involved in the production of JA viz., LOX, AOS, AOC, and OPR are identified in C. canephora (robusta coffee) by bioinformatic approaches confirming the conserved nature of the pathway in coffee. The findings are useful to understand the defense mechanisms of C. canephora and coffee breeding in the long run.
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Article metadata
| Title | Identification and Analysis of Jasmonate Pathway Genes in Coffea canephora (Robusta Coffee) by In Silico Approach |
|---|---|
| Authors | Kosaraju Bharathi; H. L. Sreenath |
| Affiliations | Plant Biotechnology Division, Unit of Central Coffee Research Institute, Coffee Board, Mysore, Karnataka, India. |
| Corresponding author | bharathi.kosaraju@gmail.com |
| Journal | Pharmacognosy Magazine |
| Volume / Issue | Vol. 13, Issue 50s (2017) |
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