@article{6419, abstract = {Characterizing the fitness landscape, a representation of fitness for a large set of genotypes, is key to understanding how genetic information is interpreted to create functional organisms. Here we determined the evolutionarily-relevant segment of the fitness landscape of His3, a gene coding for an enzyme in the histidine synthesis pathway, focusing on combinations of amino acid states found at orthologous sites of extant species. Just 15% of amino acids found in yeast His3 orthologues were always neutral while the impact on fitness of the remaining 85% depended on the genetic background. Furthermore, at 67% of sites, amino acid replacements were under sign epistasis, having both strongly positive and negative effect in different genetic backgrounds. 46% of sites were under reciprocal sign epistasis. The fitness impact of amino acid replacements was influenced by only a few genetic backgrounds but involved interaction of multiple sites, shaping a rugged fitness landscape in which many of the shortest paths between highly fit genotypes are inaccessible.}, author = {Pokusaeva, Victoria and Usmanova, Dinara R. and Putintseva, Ekaterina V. and Espinar, Lorena and Sarkisyan, Karen and Mishin, Alexander S. and Bogatyreva, Natalya S. and Ivankov, Dmitry and Akopyan, Arseniy and Avvakumov, Sergey and Povolotskaya, Inna S. and Filion, Guillaume J. and Carey, Lucas B. and Kondrashov, Fyodor}, issn = {15537404}, journal = {PLoS Genetics}, number = {4}, publisher = {Public Library of Science}, title = {{An experimental assay of the interactions of amino acids from orthologous sequences shaping a complex fitness landscape}}, doi = {10.1371/journal.pgen.1008079}, volume = {15}, year = {2019}, } @misc{9790, author = {Pokusaeva, Victoria and Usmanova, Dinara R. and Putintseva, Ekaterina V. and Espinar, Lorena and Sarkisyan, Karen and Mishin, Alexander S. and Bogatyreva, Natalya S. and Ivankov, Dmitry and Akopyan, Arseniy and Avvakumov, Sergey and Povolotskaya, Inna S. and Filion, Guillaume J. and Carey, Lucas B. and Kondrashov, Fyodor}, publisher = {Public Library of Science}, title = {{A statistical summary of segment libraries and sequencing results}}, doi = {10.1371/journal.pgen.1008079.s011}, year = {2019}, } @misc{9797, author = {Pokusaeva, Victoria and Usmanova, Dinara R. and Putintseva, Ekaterina V. and Espinar, Lorena and Sarkisyan, Karen and Mishin, Alexander S. and Bogatyreva, Natalya S. and Ivankov, Dmitry and Akopyan, Arseniy and Povolotskaya, Inna S. and Filion, Guillaume J. and Carey, Lucas B. and Kondrashov, Fyodor}, publisher = {Public Library of Science}, title = {{A statistical summary of segment libraries and sequencing results}}, doi = {10.1371/journal.pgen.1008079.s011}, year = {2019}, } @misc{9789, author = {Pokusaeva, Victoria and Usmanova, Dinara R. and Putintseva, Ekaterina V. and Espinar, Lorena and Sarkisyan, Karen and Mishin, Alexander S. and Bogatyreva, Natalya S. and Ivankov, Dmitry and Akopyan, Arseniy and Avvakumov, Sergey and Povolotskaya, Inna S. and Filion, Guillaume J. and Carey, Lucas B. and Kondrashov, Fyodor}, publisher = {Public Library of Science}, title = {{Multiple alignment of His3 orthologues}}, doi = {10.1371/journal.pgen.1008079.s010}, year = {2019}, } @article{384, abstract = {Can orthologous proteins differ in terms of their ability to be secreted? To answer this question, we investigated the distribution of signal peptides within the orthologous groups of Enterobacterales. Parsimony analysis and sequence comparisons revealed a large number of signal peptide gain and loss events, in which signal peptides emerge or disappear in the course of evolution. Signal peptide losses prevail over gains, an effect which is especially pronounced in the transition from the free-living or commensal to the endosymbiotic lifestyle. The disproportionate decline in the number of signal peptide-containing proteins in endosymbionts cannot be explained by the overall reduction of their genomes. Signal peptides can be gained and lost either by acquisition/elimination of the corresponding N-terminal regions or by gradual accumulation of mutations. The evolutionary dynamics of signal peptides in bacterial proteins represents a powerful mechanism of functional diversification.}, author = {Hönigschmid, Peter and Bykova, Nadya and Schneider, René and Ivankov, Dmitry and Frishman, Dmitrij}, journal = {Genome Biology and Evolution}, number = {3}, pages = {928 -- 938}, publisher = {Oxford University Press}, title = {{Evolutionary interplay between symbiotic relationships and patterns of signal peptide gain and loss}}, doi = {10.1093/gbe/evy049}, volume = {10}, year = {2018}, } @article{5995, abstract = {Motivation Computational prediction of the effect of mutations on protein stability is used by researchers in many fields. The utility of the prediction methods is affected by their accuracy and bias. Bias, a systematic shift of the predicted change of stability, has been noted as an issue for several methods, but has not been investigated systematically. Presence of the bias may lead to misleading results especially when exploring the effects of combination of different mutations. Results Here we use a protocol to measure the bias as a function of the number of introduced mutations. It is based on a self-consistency test of the reciprocity the effect of a mutation. An advantage of the used approach is that it relies solely on crystal structures without experimentally measured stability values. We applied the protocol to four popular algorithms predicting change of protein stability upon mutation, FoldX, Eris, Rosetta and I-Mutant, and found an inherent bias. For one program, FoldX, we manage to substantially reduce the bias using additional relaxation by Modeller. Authors using algorithms for predicting effects of mutations should be aware of the bias described here.}, author = {Usmanova, Dinara R and Bogatyreva, Natalya S and Ariño Bernad, Joan and Eremina, Aleksandra A and Gorshkova, Anastasiya A and Kanevskiy, German M and Lonishin, Lyubov R and Meister, Alexander V and Yakupova, Alisa G and Kondrashov, Fyodor and Ivankov, Dmitry}, issn = {1367-4803}, journal = {Bioinformatics}, number = {21}, pages = {3653--3658}, publisher = {Oxford University Press }, title = {{Self-consistency test reveals systematic bias in programs for prediction change of stability upon mutation}}, doi = {10.1093/bioinformatics/bty340}, volume = {34}, year = {2018}, }