Open AccessCould LASCA-imaging of GB-speckles be applied for a high discrimination and typing of pathogenic bacteria?
Author(s) -
Onega V. Ulianova,
Sergey S. Ulyanov,
Sergey Zaytsev,
Yuriy Saltykov,
Alexander S. Ulyanov,
Valentina A. Feodorova
Publication year - 2021
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0245657
Subject(s) - speckle pattern , multilocus sequence typing , typing , locus (genetics) , gene , genetics , computational biology , biology , computer science , artificial intelligence , genotype
In this article, the method of analysis of GB-speckles (gene-based speckles) has been adapted to the problem of detecting the differences in a group of genes (usually 5–7) , used in Multi Locus Sequence Typing (MLST). This method is based on s-LASCA imaging ( s patial La ser S peckle C ontrast A nalysis) of virtual GB-speckle and on the technique of RGB coordinates for GB-speckles , processed by the s-LASCA method. A very high sensitivity and accuracy of the new method for detecting gene polymorphism as a great alternative to classical MLST has been demonstrated. The analysis of GB-speckles , obtained for the concatenated sequences of seven genes ( gatA , gidA , enoA , fumC , hemN , hflX , oppA ) of three different Chlamydia trachomatis strains (E/Bour, ST94; G/9301, ST95; G/11222, ST94) has been applied as the model. The high efficiency of usage of s- LASCA -imaging of GB-speckles has been shown. The data obtained represent a significant progress in digital biology as a whole and improvements in the bio-digitalization of bacterial DNA.