Could LASCA-imaging of GB-speckles be applied for a high discrimination and typing of pathogenic bacteria?
2021; Public Library of Science; Volume: 16; Issue: 1 Linguagem: Inglês
10.1371/journal.pone.0245657
ISSN1932-6203
AutoresOnega V. Ulianova, Sergey S. Ulyanov, Sergey Zaytsev, Yury V. Saltykov, Alexander S. Ulyanov, Valentina Feodorova,
Tópico(s)Metabolomics and Mass Spectrometry Studies
ResumoIn 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.
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