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Supplemental material, Supplementary_figures_v2_xyz3635604710e57 for Genomic Survey of Tyrosine Kinases Repertoire in Electrophorus electricus With an Emphasis on Evolutionary Conservation and Diversification by Ling Li, Dangyun Liu, Ake Liu, Jingquan Li, Hui Wang and Jingqi Zhou in Evolutionary Bioinformatics

Supplemental material, TableS2_xyz363560f474193 for Genomic Survey of Tyrosine Kinases Repertoire in Electrophorus electricus With an Emphasis on Evolutionary Conservation and Diversification by Ling Li, Dangyun Liu, Ake Liu, Jingquan Li, Hui Wang and Jingqi Zhou in Evolutionary Bioinformatics

One of hot research foci has always been predicting amino acid residues underlying functional divergence after gene duplication, as those predicted sites can be used as candidates for further functional experimentations. It is important and interesting to know how many sites, on average, may have been responsible for the functional divergence between duplicate genes. In this article, we studied two basic types of functional divergence (type-I and type-II) in depth in order to give an accurate estimation of functional divergence-related sites. Type-I divergences result from altered functional constraints (i.e., different evolutionary rates) between duplicate genes, whereas type-II divergences refer to residues that are conserved by functional constraints but exhibit different physicochemical properties (e.g., charge or hydrophobicity) between duplicates. An effective site number (NE) strategy was applied in our study, which implements a stepwise regression model to calculate the minimum number of residues responsible for functional divergence without choosing preset threshold. We found that NE-determined cut-off value varies among different duplicate pairs, suggesting that empirical cutoff value is not suitable for every case. Under our standard NE calculation method, we estimated less than 15% of residues that are required for paralogous gene functional divergence. Finally, we established a database, DIVERGE-D, as a public resource for the predicted NE sites between two paralogs in this study, which can be used as candidates for further biological engineering and experimentation.

Tyrosine kinases (TKs) play key roles in the regulation of multicellularity in organisms and involved primarily in cell growth, differentiation, and cell-to-cell communication. Genome-wide characterization of TKs has been conducted in many metazoans; however, systematic information regarding this superfamily in Electrophorus electricus (electric eel) is still lacking. In this study, we identified 114 TK genes in the E electricus genome and investigated their evolution, molecular features, and domain architecture using phylogenetic profiling to gain a better understanding of their similarities and specificity. Our results suggested that the electric eel TK (EeTK) repertoire was shaped by whole-genome duplications (WGDs) and tandem duplication events. Compared with other vertebrate TKs, gene members in Jak, Src, and EGFR subfamily duplicated specifically, but with members lost in Eph, Axl, and Ack subfamily in electric eel. We also conducted an exhaustive survey of TK genes in genomic databases, identifying 1674 TK proteins in 31 representative species covering all the main metazoan lineages. Extensive evolutionary analysis indicated that TK repertoire in vertebrates tended to be remarkably conserved, but the gene members in each subfamily were very variable. Comparative expression profile analysis showed that electric organ tissues and muscle shared a similar pattern with specific highly expressed TKs (ie, epha7, musk, jak1, and pdgfra), suggesting that regulation of TKs might play an important role in specifying an electric organ identity from its muscle precursor. We further identified TK genes exhibiting tissue-specific expression patterns, indicating that members in TKs participated in subfunctionalization representing an evolutionary divergence required for the performance of different tissues. This work generates valuable information for further gene function analysis and identifying candidate TK genes reflecting their unique tissue-function specializations in electric eel.