The dynamics and evolutionary potential of domain loss and emergence
- PMID: 22016574
- PMCID: PMC3258042
- DOI: 10.1093/molbev/msr250
The dynamics and evolutionary potential of domain loss and emergence
Abstract
The wealth of available genomic data presents an unrivaled opportunity to study the molecular basis of evolution. Studies on gene family expansions and site-dependent analyses have already helped establish important insights into how proteins facilitate adaptation. However, efforts to conduct full-scale cross-genomic comparisons between species are challenged by both growing amounts of data and the inherent difficulty in accurately inferring homology between deeply rooted species. Proteins, in comparison, evolve by means of domain rearrangements, a process more amenable to study given the strength of profile-based homology inference and the lower rates with which rearrangements occur. However, adapting to a constantly changing environment can require molecular modulations beyond reach of rearrangement alone. Here, we explore rates and functional implications of novel domain emergence in contrast to domain gain and loss in 20 arthropod species of the pancrustacean clade. Emerging domains are more likely disordered in structure and spread more rapidly within their genomes than established domains. Furthermore, although domain turnover occurs at lower rates than gene family turnover, we find strong evidence that the emergence of novel domains is foremost associated with environmental adaptation such as abiotic stress response. The results presented here illustrate the simplicity with which domain-based analyses can unravel key players of nature's adaptational machinery, complementing the classical site-based analyses of adaptation.
Figures



Similar articles
-
Evolutionary origin of type IV classical cadherins in arthropods.BMC Evol Biol. 2017 Jun 17;17(1):142. doi: 10.1186/s12862-017-0991-2. BMC Evol Biol. 2017. PMID: 28623893 Free PMC article.
-
Dynamics and adaptive benefits of protein domain emergence and arrangements during plant genome evolution.Genome Biol Evol. 2012;4(3):316-29. doi: 10.1093/gbe/evs004. Epub 2012 Jan 16. Genome Biol Evol. 2012. PMID: 22250127 Free PMC article.
-
This Déjà vu feeling--analysis of multidomain protein evolution in eukaryotic genomes.PLoS Comput Biol. 2012;8(11):e1002701. doi: 10.1371/journal.pcbi.1002701. Epub 2012 Nov 15. PLoS Comput Biol. 2012. PMID: 23166479 Free PMC article.
-
Dynamics and adaptive benefits of modular protein evolution.Curr Opin Struct Biol. 2013 Jun;23(3):459-66. doi: 10.1016/j.sbi.2013.02.012. Epub 2013 Apr 3. Curr Opin Struct Biol. 2013. PMID: 23562500 Review.
-
Arthropod evolution and development: recent insights from chelicerates and myriapods.Curr Opin Genet Dev. 2016 Aug;39:93-100. doi: 10.1016/j.gde.2016.06.002. Epub 2016 Jun 28. Curr Opin Genet Dev. 2016. PMID: 27362947 Review.
Cited by
-
Evolution of protein N-glycosylation process in Golgi apparatus which shapes diversity of protein N-glycan structures in plants, animals and fungi.Sci Rep. 2017 Jan 11;7:40301. doi: 10.1038/srep40301. Sci Rep. 2017. PMID: 28074929 Free PMC article.
-
Exploiting protein domain modularity to enable synthetic control of engineered cells.Curr Opin Biomed Eng. 2024 Sep;31:100550. doi: 10.1016/j.cobme.2024.100550. Epub 2024 Jul 2. Curr Opin Biomed Eng. 2024. PMID: 39430298
-
Emergence of novel domains in proteins.BMC Evol Biol. 2013 Feb 20;13:47. doi: 10.1186/1471-2148-13-47. BMC Evol Biol. 2013. PMID: 23425224 Free PMC article.
-
Evolution and structural diversification of Nictaba-like lectin genes in food crops with a focus on soybean (Glycine max).Ann Bot. 2017 Mar 1;119(5):901-914. doi: 10.1093/aob/mcw259. Ann Bot. 2017. PMID: 28087663 Free PMC article.
-
The interface of protein structure, protein biophysics, and molecular evolution.Protein Sci. 2012 Jun;21(6):769-85. doi: 10.1002/pro.2071. Epub 2012 Apr 23. Protein Sci. 2012. PMID: 22528593 Free PMC article. Review.
References
-
- Alexa A, Rahnenführer J, Lengauer T. Improved scoring of functional groups from gene expression data by decorrelating go graph structure. Bioinformatics. 2006;22:1600–1607. - PubMed
-
- Apic G, Gough J, Teichmann SA. Domain combinations in archaeal, eubacterial and eukaryotic proteomes. J Mol Biol. 2001;310:311–325. - PubMed
-
- Björklund AK, Ekman D, Light S, Frey-Skött J, Elofsson A. Domain rearrangements in protein evolution. J Mol Biol. 2005;353:911–923. - PubMed
-
- Bornberg-Bauer E, Huylmans AK, Sikosek T. How do new proteins arise? Curr Opin Struct Biol. 2010;20:390–396. - PubMed
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources