том 18 издание 02 страницы 2040001

DNA sequence, physics, and promoter function: Analysis of high-throughput data On T7 promoter variants activity

Тип публикацииJournal Article
Дата публикации2020-04-01
scimago Q4
wos Q4
БС2
SJR0.234
CiteScore2.0
Impact factor0.7
ISSN02197200, 17576334
Biochemistry
Computer Science Applications
Molecular Biology
Краткое описание

RNA polymerase/promoter recognition represents a basic problem of molecular biology. Decades-long efforts were made in the area, and yet certain challenges persist. The usage of certain most suitable model subjects is pivotal for the research. System of T7 bacteriophage RNA-polymerase/T7 native promoter represents an exceptional example for the purpose. Moreover, it has been studied the most and successfully applied to aims of biotechnology and bioengineering. Both structural simplicity and high specificity of this molecular duo are the reason for this. Despite highly similar sequences of distinct T7 native promoters, the T7 RNA-polymerase enzyme is capable of binding respective promoter in a highly specific and adjustable manner. One explanation here is that the process relies primarily on DNA physical properties rather than nucleotide sequence. Here, we address the issue by analyzing massive data recently published by Komura and colleagues. This initial study employed Next Generation Sequencing (NGS) in order to quantify activity of promoter variants including ones with multiple substitutions. As a result of our work substantial bias in simultaneous occurrence of single-nucleotide sequence alterations was found: the highest rate of co-occurrence was evidenced within specificity loop of binding region while the lowest — in initiation region of promoter. If both location and a kind of nucleotides involved in replacement (both initial and resulting) are taken into consideration, one can easily note that N to A substitutions are most preferred ones across the whole 19 b.p.-long sequence. At the same time, N to C are tolerated only at crucial position in recognition loop of binding region, and N to G are uniformly least tolerable. Later in this work the complete set of variants was split into groups with mutations (1) exclusively in binding region; (2) exclusively in melting region; (3) in both regions. Among these three groups second comprises extremely few variants (at triple-digit rate lesser than in two other groups, 46 versus over one and six thousand). Yet these are all promoter with substantial to high activity. This group two appeared heterogenous by primary sequence; indeed, upon further subdivision into above versus below average activity subgroups first one was found to comprise promoters with negligible conservation at [Formula: see text]2 position of melting region; the second was hardly conserved in this region at all. This draws our attention to perfect consensus sequence of class III T7 promoter with [Formula: see text]2 nucleotide randomized (all four are present by one to several copies in the previously published source dataset), the picture becomes even more pronounced. We therefore suggest that mutations at the position therefore do not cause significant changes in terms of promoter activity. At the same time, such modifications dramatically change DNA physical properties which were calculated in our study (namely electrostatic potential and propensity to bend). One possible suggestion here is that [Formula: see text]2 nucleotide might function as a generic switch; if so, substitution [Formula: see text]2A to [Formula: see text]2T has important regulatory consequences. The fact that that [Formula: see text]2 b.p. is the most evidently different nucleotide between class II versus class III promoters of T7 genome and that it also distinguishes the class III promoter in T7 genome versus promoters of its relative but reproductively isolated bacteriophage T3. In other words, it appears feasible that mutation at [Formula: see text]2 nucleotide does not impede promoter activity yet alter its physical properties thus affecting differential RNA polymerase/promoter interaction.

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Orlov M. A., Sorokin A. A. DNA sequence, physics, and promoter function: Analysis of high-throughput data On T7 promoter variants activity // Journal of Bioinformatics and Computational Biology. 2020. Vol. 18. No. 02. p. 2040001.
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Orlov M. A., Sorokin A. A. DNA sequence, physics, and promoter function: Analysis of high-throughput data On T7 promoter variants activity // Journal of Bioinformatics and Computational Biology. 2020. Vol. 18. No. 02. p. 2040001.
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TY - JOUR
DO - 10.1142/S0219720020400016
UR - https://doi.org/10.1142/S0219720020400016
TI - DNA sequence, physics, and promoter function: Analysis of high-throughput data On T7 promoter variants activity
T2 - Journal of Bioinformatics and Computational Biology
AU - Orlov, Mikhail A.
AU - Sorokin, Anatoly A.
PY - 2020
DA - 2020/04/01
PB - World Scientific
SP - 2040001
IS - 02
VL - 18
PMID - 32404013
SN - 0219-7200
SN - 1757-6334
ER -
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@article{2020_Orlov,
author = {Mikhail A. Orlov and Anatoly A. Sorokin},
title = {DNA sequence, physics, and promoter function: Analysis of high-throughput data On T7 promoter variants activity},
journal = {Journal of Bioinformatics and Computational Biology},
year = {2020},
volume = {18},
publisher = {World Scientific},
month = {apr},
url = {https://doi.org/10.1142/S0219720020400016},
number = {02},
pages = {2040001},
doi = {10.1142/S0219720020400016}
}
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Orlov, Mikhail A., and Anatoly A. Sorokin. “DNA sequence, physics, and promoter function: Analysis of high-throughput data On T7 promoter variants activity.” Journal of Bioinformatics and Computational Biology, vol. 18, no. 02, Apr. 2020, p. 2040001. https://doi.org/10.1142/S0219720020400016.