Correlates of evolutionary rates in the murine sperm proteome
Abstract Background Protein-coding genes expressed in sperm evolve at different rates. To gain deeper insight into the factors underlying this heterogeneity we examined the relative importance of a diverse set of previously described rate correlates in determining the evolution of murine sperm prote...
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| Format: | Article |
| Language: | English |
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BMC
2018-03-01
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| Series: | BMC Evolutionary Biology |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12862-018-1157-6 |
| _version_ | 1818588204842876928 |
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| author | Julia Schumacher Holger Herlyn |
| author_facet | Julia Schumacher Holger Herlyn |
| author_sort | Julia Schumacher |
| collection | DOAJ |
| description | Abstract Background Protein-coding genes expressed in sperm evolve at different rates. To gain deeper insight into the factors underlying this heterogeneity we examined the relative importance of a diverse set of previously described rate correlates in determining the evolution of murine sperm proteins. Results Using partial rank correlations we detected several major rate indicators: Phyletic gene age, numbers of protein-protein interactions, and survival essentiality emerged as particularly important rate correlates in murine sperm proteins. Tissue specificity, numbers of paralogs, and untranslated region lengths also correlate significantly with sperm genes’ evolutionary rates, albeit to a lesser extent. Multifunctionality, coding sequence or average intron lengths, and mean expression level have insignificant or virtually no independent effects on evolutionary rates in murine sperm genes. Gene ontology enrichment analyses of three equally sized murine sperm protein groups classified based on their evolutionary rates indicate strongest sperm-specific functional specialization in the most quickly evolving gene class. Conclusions We propose a model according to which slowly evolving murine sperm proteins tend to be constrained by factors such as survival essentiality, network connectivity, and/or broad expression. In contrast, evolutionary change may arise especially in less constrained sperm proteins, which might, moreover, be prone to specialize to reproduction-related functions. Our results should be taken into account in future studies on rate variations of reproductive genes. |
| first_indexed | 2024-12-16T09:21:03Z |
| format | Article |
| id | doaj.art-76826a19a6c9467489795064c666e95b |
| institution | Directory Open Access Journal |
| issn | 1471-2148 |
| language | English |
| last_indexed | 2024-12-16T09:21:03Z |
| publishDate | 2018-03-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Evolutionary Biology |
| spelling | doaj.art-76826a19a6c9467489795064c666e95b2022-12-21T22:36:47ZengBMCBMC Evolutionary Biology1471-21482018-03-0118111110.1186/s12862-018-1157-6Correlates of evolutionary rates in the murine sperm proteomeJulia Schumacher0Holger Herlyn1Institute of Organismic and Molecular Evolution, Anthropology, Johannes Gutenberg UniversityInstitute of Organismic and Molecular Evolution, Anthropology, Johannes Gutenberg UniversityAbstract Background Protein-coding genes expressed in sperm evolve at different rates. To gain deeper insight into the factors underlying this heterogeneity we examined the relative importance of a diverse set of previously described rate correlates in determining the evolution of murine sperm proteins. Results Using partial rank correlations we detected several major rate indicators: Phyletic gene age, numbers of protein-protein interactions, and survival essentiality emerged as particularly important rate correlates in murine sperm proteins. Tissue specificity, numbers of paralogs, and untranslated region lengths also correlate significantly with sperm genes’ evolutionary rates, albeit to a lesser extent. Multifunctionality, coding sequence or average intron lengths, and mean expression level have insignificant or virtually no independent effects on evolutionary rates in murine sperm genes. Gene ontology enrichment analyses of three equally sized murine sperm protein groups classified based on their evolutionary rates indicate strongest sperm-specific functional specialization in the most quickly evolving gene class. Conclusions We propose a model according to which slowly evolving murine sperm proteins tend to be constrained by factors such as survival essentiality, network connectivity, and/or broad expression. In contrast, evolutionary change may arise especially in less constrained sperm proteins, which might, moreover, be prone to specialize to reproduction-related functions. Our results should be taken into account in future studies on rate variations of reproductive genes.http://link.springer.com/article/10.1186/s12862-018-1157-6Protein evolutionTissue specificityProtein essentialitySperm proteinsProtein-protein interactionsGene age |
| spellingShingle | Julia Schumacher Holger Herlyn Correlates of evolutionary rates in the murine sperm proteome BMC Evolutionary Biology Protein evolution Tissue specificity Protein essentiality Sperm proteins Protein-protein interactions Gene age |
| title | Correlates of evolutionary rates in the murine sperm proteome |
| title_full | Correlates of evolutionary rates in the murine sperm proteome |
| title_fullStr | Correlates of evolutionary rates in the murine sperm proteome |
| title_full_unstemmed | Correlates of evolutionary rates in the murine sperm proteome |
| title_short | Correlates of evolutionary rates in the murine sperm proteome |
| title_sort | correlates of evolutionary rates in the murine sperm proteome |
| topic | Protein evolution Tissue specificity Protein essentiality Sperm proteins Protein-protein interactions Gene age |
| url | http://link.springer.com/article/10.1186/s12862-018-1157-6 |
| work_keys_str_mv | AT juliaschumacher correlatesofevolutionaryratesinthemurinespermproteome AT holgerherlyn correlatesofevolutionaryratesinthemurinespermproteome |