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OJB©
Online Journal of Bioinformatics©
Onl J Bioinform©
Established 1995
ISSN 1443-2250
Volume 26 (2) : 85-95, 2025
Promoter
prediction and isolation for Porteresia coarctata
Mahalakshmi S, Krishna
NC, Rao KV, Reddy VD.
Centre for Plant Molecular Biology, Osmania
University, Hyderabad, India
ABSTRACT
Mahalakshmi S,Krishna NC,Rao
KV,Reddy VD Promoter prediction and isolation for Porteresia coarctata,
Onl J Bioinform 26 (2) : 85-95, 2025. In silico identification
of promoters is complicated by the hierarchical, modular and diverse nature of
their architecture. Tools developed for prediction of eukaryote promoters
produce acceptable results for certain species but are not as specific for
plants. An algorithm to predict plant-promoters is described. The programme was trained on 255 plant promoters and verified
with 50 promoters. The tool was able to accurately identify 72% of the test
sequences. A promoter sequence designated as Pccp was
identified from the genomic sequences of Porteresia coarctata. The tool was validated with laboratory results.
Cloning of Pccp upstream to gusA
and introduction of the fusion-construct into plant tissues revealed GUS
expression confirming predicted sequence as the promoter
Key words: Key words: Porteresia coarctata, ProSearch, Promoter
prediction, Isolation, Fusion construct.