In Silico Identification and Annotation of Drought Responsive Candidate Genes in Solanaceous Plants

International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 1, pp.3910-3923, January 20

13 Pages Posted: 5 Feb 2021

See all articles by Faizan Mahammed

Faizan Mahammed

University of Agricultural and Horticultural Sciences (UAHS)

Harish Babu

University of Agricultural and Horticultural Sciences (UAHS)

B. Fakrudin

University of Agricultural and Horticultural Sciences (UAHS)

D. Lakshmana

University of Agricultural and Horticultural Sciences (UAHS)

M Rakshith

University of Agricultural and Horticultural Sciences (UAHS)

Date Written: January 31, 2021

Abstract

An in silico analysis was undertaken to identify drought responsive candidate genes in solanaceous plants like potato, chilli, tomato, eggplant and etc., using NCBI database. Drought tolerant plants counter the drought by producing various enzymes and transcription factors through genes associated with drought tolerance. The drought stress responsive genes were validated using Arabidopsis thaliana as reference species. The stress responsive unigenes were identified from STIFDB v2.0 database and subjected for BLAST analysis to identify related homologous sequences from Solanum taxid using NCBI database. A total of 795 stress responsive unigenes were identified for drought stress among which 109 drought responsive unigenes were found in solanaceous taxid with sequence identities (ID) or homology of more than 80 per cent. Based on Bulk Data Retrieval (BDR) from The Arabidopsis Information Resource (TAIR), the Gene Ontology analysis for GO functional categories has revealed that, in cellular component category, genes assigned to the other intracellular components (20.37%) accounted for largest group followed by other cytoplasmic components (19.05%) and genes of chloroplast (11.77%). In biological process category, largest group of genes belong to other cellular processes (25.89%) followed by other metabolic processes (21.89%) and response to abiotic or biotic stimulus (12.44%). In Molecular functional categorization, 11.59% of genes have transferase activity; protein binding activity (10.90%); other enzymic activities (17.27 %) and other binding activities (17.95 %). The information on the drought responsive candidate genes can be used for identification and isolation of drought responsive genes for utilization in drought tolerance breeding in solanaceous crops.

Keywords: In silico, drought, candidate genes, STIFDB V.2.0, NCBI data base

JEL Classification: Q16

Suggested Citation

Faizan, Mahammed and Babu, Harish and Fakrudin, B. and Lakshmana, D. and Rakshith, M, In Silico Identification and Annotation of Drought Responsive Candidate Genes in Solanaceous Plants (January 31, 2021). International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 1, pp.3910-3923, January 20, Available at SSRN: https://ssrn.com/abstract=3777445

Mahammed Faizan (Contact Author)

University of Agricultural and Horticultural Sciences (UAHS) ( email )

Savalanga Road
Shivamogga, Karnataka 577 204
India
8660602668 (Phone)

Harish Babu

University of Agricultural and Horticultural Sciences (UAHS)

Savalanga Road
Shivamogga, Karnataka 577 204
India

B. Fakrudin

University of Agricultural and Horticultural Sciences (UAHS)

Savalanga Road
Shivamogga, Karnataka 577 204
India

D. Lakshmana

University of Agricultural and Horticultural Sciences (UAHS)

Savalanga Road
Shivamogga, Karnataka 577 204
India

M Rakshith

University of Agricultural and Horticultural Sciences (UAHS)

Savalanga Road
Shivamogga, Karnataka 577 204
India

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