Haresh Liya D, Elanchezhian M, Pahari M, Mouroug Anand N, Suresh S, Balaji N, Kumar Jainarayanan A. QPromoters: sequence based prediction of promoter strength in
Saccharomyces cerevisiae.
ALL LIFE 2023;
16:2168304. [PMID:
39416423 PMCID:
PMC11478184 DOI:
10.1080/26895293.2023.2168304]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 12/10/2022] [Indexed: 01/22/2023] Open
Abstract
Promoters play a key role in influencing transcriptional regulation for fine-tuning the expression of genes. Heterologous promoter engineering has been a widely used concept to control the level of transcription in all model organisms. The strength of a promoter is mainly determined by its nucleotide composition. Many promoter libraries have been curated, but few have attempted to develop theoretical methods to predict the strength of promoters from their nucleotide sequence. Such theoretical methods are not only valuable in the design of promoters with specified strength but are also meaningful in understanding the mechanistic role of promoters in transcriptional regulation. In this study, we present a theoretical model to describe the relationship between promoter strength and nucleotide sequence in Saccharomyces cerevisiae. We infer from our analysis that the -49-10 sequence with respect to the Transcription Start Site represents the minimal region that can be used to predict promoter strength. https://qpromoters.com/ and a standalone tool https://github.com/DevangLiya/QPromoters to quickly quantify the strength of Saccharomyces cerevisiae promoters.
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