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IDENTIFICATION OF NOVEL TARGETS ENVIRONMENTAL STRESS TOLERANCE GENES IN PLANTS BY USING BIOINFORMATICS


Article Information

Title: IDENTIFICATION OF NOVEL TARGETS ENVIRONMENTAL STRESS TOLERANCE GENES IN PLANTS BY USING BIOINFORMATICS

Authors: Abdul Qadir

Journal: Plant Bulletin

HEC Recognition History
Category From To
Y 2024-10-01 2025-12-31
Y 2023-07-01 2024-09-30

Publisher: Airanam Research

Country: Pakistan

Year: 2023

Volume: 2

Issue: 1

Language: English

DOI: 10.55627/pbulletin.002.01.0310

Keywords: Antioxidant activitiesMentha longifoliaphenolic substanceFlavonoid

Categories

Abstract

The plant show retorts to the abiotic stresses which influence the biosynthesis of secondary metabolites in the plants. The current research identified novel genes in reference plants Prunus avium, Prunus persica, Mangifera indica, and Carica papaya, while as a model plant Arabidopsis thaliana was used. For this purpose, bioinformatics tools such as ORF, BLAST, and CDD tools were used. The Est of Prunus avium, Prunus persica, Mangifera indica, and Carica papaya were 30582, 26413, 38501, 20333 respectively. The genes HOS10, LOS4, MPK3, ELIP1, and DREB1A were analyzed through ORF, compared by BLAST, and CDD was used for searching of conserved domain database with nucleotide query coverage. The query coverage of all the genes in all four plants varies from 28% to 96% and the frame preferred are mostly +3 and +2, +1 is also present but in the very least form. The current research will help to comprehend the query coverage and define the identity of the selected genes in the cold and warm region's plants.


Research Objective

To identify novel genes involved in environmental stress tolerance, specifically in response to cold and warm temperatures, in selected plant species using bioinformatics tools.


Methodology

Bioinformatics tools including Open Reading Frame (ORF), BLAST, and Conserved Domain Database (CDD) were employed. Genes of interest were identified from the model plant Arabidopsis thaliana and then analyzed in reference plants: Prunus avium and Prunus persica (cold climate) and Mangifera indica and Carica papaya (warm climate). Sequence data was retrieved from NCBI.

Methodology Flowchart
                        graph TD
    A[Identify Model Plant Genes] --> B[Select Reference Plants - Cold & Warm Climates];
    B --> C[Retrieve Gene Sequences from NCBI];
    C --> D[Analyze Genes using ORF];
    D --> E[Perform Homology Search using BLAST];
    E --> F[Analyze Conserved Domains using CDD];
    F --> G[Compare Results Across Plants];
    G --> H[Identify Novel Stress Tolerance Genes];                    

Discussion

The study utilized bioinformatics to investigate genes associated with tolerance to environmental stresses like temperature variations. The identified genes are hypothesized to play a role in cold acclimation and potentially in the biosynthesis of secondary metabolites. The varying query coverage and frame preferences suggest differential gene expression and functional roles across species. The presence of conserved domains indicates shared evolutionary origins and functional similarities.


Key Findings

- Five cold stress-related genes (HOS10, LOS4, MPK3, ELIP1, and DREB1A) were analyzed in the selected plant species.
- Query coverage for these genes across the four reference plants varied from 28% to 96%.
- Frame preferences for the genes were predominantly +3 and +2.
- Conserved domain analysis indicated that most of the selected genes belonged to similar protein families across the analyzed plants, with the exception of the DEAD-like helicase superfamily in Carica papaya.
- The gene MPK3 showed the highest and same query coverage (96%) in all four plants.


Conclusion

This research successfully identified potential novel genes involved in plant responses to abiotic stresses using bioinformatics. The findings provide a foundation for understanding gene expression patterns in plants from diverse environments and contribute to the development of stress-tolerant crop varieties.


Fact Check

- The study analyzed five specific genes: HOS10, LOS4, MPK3, ELIP1, and DREB1A. (Confirmed in text)
- Query coverage for the analyzed genes varied from 28% to 96%. (Confirmed in text)
- Arabidopsis thaliana was used as a model plant. (Confirmed in text)


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