DNA structural and physical properties reveal peculiarities in promoter sequences of the bacterium Escherichia coli K-12

被引:5
|
作者
Martinez, Gustavo Sganzerla [1 ]
Silva, Scheila [1 ]
Kumar, Aditya [2 ]
Perez-Rueda, Ernesto [3 ]
机构
[1] Univ Caxias Do Sul, Programa Posgrad Biotecnol, Av Francisco Getulio Vargas, BR-95070560 Caxias Do Sul, RS, Brazil
[2] Tezpur Univ, Dept Mol Biol & Biotechnol, Tezpur 784028, Assam, India
[3] Univ Nacl Autonoma Mexico, Inst Investigac Matemat Aplicadas & Sistemas, Unidad Acad Yucatan, Merida, Yucatan, Mexico
来源
SN APPLIED SCIENCES | 2021年 / 3卷 / 08期
关键词
Gene transcription; Transcription factors; Bacteria; Enthalpy; Free-stability; Base-pair stacking; THERMODYNAMICS; ENTHALPY; FEATURES; DATABASE;
D O I
10.1007/s42452-021-04713-2
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The gene transcription of bacteria starts with a promoter sequence being recognized by a transcription factor found in the RNAP enzyme, this process is assisted through the conservation of nucleotides as well as other factors governing these intergenic regions. Faced with this, the coding of genetic information into physical aspects of the DNA such as enthalpy, stability, and base-pair stacking could suggest promoter activity as well as protrude differentiation of promoter and non-promoter data. In this work, a total of 3131 promoter sequences associated to six different sigma factors in the bacterium E. coli were converted into numeric attributes, a strong set of control sequences referring to a shuffled version of the original sequences as well as coding regions is provided. Then, the parameterized genetic information was normalized, exhaustively analyzed through statistical tests. The results suggest that strong signals in the promoter sequences match the binding site of transcription factor proteins, indicating that promoter activity is well represented by its conversion into physical attributes. Moreover, the features tested in this report conveyed significant variances between promoter and control data, enabling these features to be employed in bacterial promoter classification. The results produced here may aid in bacterial promoter recognition by providing a robust set of biological inferences.
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收藏
页数:10
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