International Multiconference “Bioinformatics of Genome Regulation and Structure\Systems Biology”

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ortholog

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Genomics,  bioinformatics  and evolution symposiumOrthoWeb – web application for macro- and microevolutionary analysis of genes

OrthoWeb – web application for macro- and microevolutionary analysis of genes

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Poster (download)

[pdf-embedder url=”https://bgrssb.icgbio.ru/wp-content/uploads/2020/07/409.pdf”]
Zakhar Mustafin, Alexey Mukhin, Dmitry Afonnikov, Yury Matushkin, Sergey Lashin1
1Kurchatov Genomics Center, ICG SB RAS, Novosibirsk, Russia, mustafinzs@bionet.nsc.ru

Problems of macro- and microevolution remain key problems of biology. Phylostratigraphic analysis became one of the most popular methods for studying macroevolutionary characteristic of genes. It is based on estimation of the divergence time among orthologous genes. Along with methods of microevolutionary analysis (for example, dN/dS ratio estimation), phylostratigraphic methods are increasingly included into the methodological arsenal of evolutionary bioinformatics. There are some software packages used for computational analysis of the evolution by using different phylostratigraphic and microevolutionary indices, but they require users to know some additional software or programming languages. Here we present OrthoWeb software to calculate such indices using web browser only.

Genomics,  bioinformatics  and evolution symposiumPhylostratigraphic approach in evolutionary analysis: comparison of methods

Phylostratigraphic approach in evolutionary analysis: comparison of methods

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Poster (download)

[pdf-embedder url=”https://bgrssb.icgbio.ru/wp-content/uploads/2020/07/459.pdf”]
Tatiana Martusheva1, Zakhar Mustafin2, Sergey Lashin3
1Novosibirsk State University, NSU, Novosibirsk, Russia, t.maryanovskaya@g.nsu.ru
2Kurchatov Genomics Center, ICG SB RAS, Novosibirsk, Russia, mustafinzs@bionet.nsc.ru
3Kurchatov Genomics Center, ICG SB RAS, Novosibirsk, Russia NSU, Novosibirsk, Russia, lashin@bionet.nsc.ru

Phylostratigraphic analysis allows us to determine the \”age of the gene\” – evolutionary time of its origin. There are different methods to calculate this age, each of which has its own issues. In this work, we compare several studies on phylostrastigraphic analysis. The correlation coefficient of the results of two research with different phylostratigraphic trees but the same method to count phylostratigraphic age (BLAST-based) was found to be 0.76. Comparison of the results of calculating the phylostratigraphic age by Orthoscape application (used KEGG as data source) and the myTAI package (used BLAST as data source) showed a lower corellation coefficient – only 0.27. It is planned to continue the studying of differences in the results of different methods and their reasons.