Next Article in Journal
Advances on Aptamers against Protozoan Parasites
Previous Article in Journal
Selective Pressures on Human Cancer Genes along the Evolution of Mammals
Previous Article in Special Issue
Large-Scale Analyses of Site-Specific Evolutionary Rates across Eukaryote Proteomes Reveal Confounding Interactions between Intrinsic Disorder, Secondary Structure, and Functional Domains
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Editorial

Evolution and Structure of Proteins and Proteomes

by
David A. Liberles
1,* and
Ashley I. Teufel
2,*
1
Department of Biology and Center for Computational Genetics and Genomics, Temple University, Philadelphia, PA 19122, USA
2
Department of Integrative Biology, Institute for Cellular and Molecular Biology, and Center for Computational Biology and Bioinformatics, The University of Texas at Austin, Austin, TX 78712, USA
*
Authors to whom correspondence should be addressed.
Genes 2018, 9(12), 583; https://doi.org/10.3390/genes9120583
Submission received: 21 November 2018 / Accepted: 26 November 2018 / Published: 28 November 2018
(This article belongs to the Special Issue Evolution and Structure of Proteins and Proteomes)
This themed issue centered on the evolution and structure of proteins and proteomes is comprised of seven published manuscripts. These works highlight recent developments in efforts to model protein evolution as well as findings from empirical computational genomes approaches. Two key inter-related themes emerge from the synthesis of these works: the crucial role of epistasis and the effect of mutation-selection-drift balance on protein stability.
Epistasis is suggested to have a significant impact on how proteins evolve [1,2,3,4,5], and several works within this themed issue explore the connection between epistasis and protein evolution. Posfai et al. [6] analytically demonstrate the necessity of epistasis in maintaining the stability of protein structures during evolution. Concrete examples of the significance of epistasis are also illustrated [7,8]. Knops et al. [7] describe how epistatic interactions in a Hepatitis C Virus protein can enable the evolution of drug resistance, while Andreou et al. [8] find that changes outside of the binding pocket of polysaccharide deacetylase in Bacillus species may contribute to differing substrate specificity. The need to account for epistatic interaction in evolutionary modeling is also pointed out in a review by Teufel et al. [9]. When modeling protein evolution with mutation-selection models, break points reflecting shifts in sets of appropriate amino acids can be used to maintain the mathematical approximation of site-independence while modeling a site-interdependent (epistatic) process.
The second theme that emerges from this collection of works is the role of mutation–selection–drift balance on protein stability, a concept popularized in a classic paper [10]. There are many sequence combinations that contribute to a folded state, and selection rarely acts on the precise energetic contributions of single amino acids, but rather on the cumulative effect in creating a properly folded protein (see reference [11] for further discussion of this point). This is what underlies epistasis. Ahrens et al. [12] look at the interplay of different structural features over evolution in maintaining folded states, while Mesa-Torres et al. [13] present examples in which disease arises due to the emergence of conformational instability with mutation that is not properly compensated. Further, Bányai et al. [14] demonstrate a correlation between rates of amino acid substitution, domain evolution, and morphological evolution in Cephalochordates by correcting mis-annotations that led to the inference of a higher rate of domain evolution in this lineage.
The link between epistasis and the site-specific substitution process emerged in the 1960s among other early work [15]. The combination of mutation at individual sites and selection at a higher level of organization reflecting fold and function gives rise to a clock-like rate of change. While this has subsequently been linked to the neutral theory, negative selection can also give rise to clock-like rates if substitutions are not rare and occur with a regular process (albeit made more complicated by epistasis). It is this understanding and its link to functioning under different selective regimes (including positive directional selection) that remain at the forefront of the field.
The exploration of epistasis within proteins and the effect of mutation–selection–drift balance on protein stability by the works compiled in this special edition are representative of the current state of research. Considering that these themes emerged organically from this compilation suggests that these areas of study pose many open questions. Each of these manuscripts represents a further step in developing this overarching understanding of the processes that govern molecular evolution at the protein level.

Acknowledgments

A.I.T. acknowledges support from National Institutes of Health Grant R01 GM088344 and National Science Foundation Cooperative agreement no. DBI-0939454 (BEACON Center). D.A.L. acknowledges support from National Science Foundation Grant DBI-1515704.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Breen, M.S.; Kemena, C.; Vlasov, P.K.; Notredame, C.; Kondrashov, F.A. Epistasis as the primary factor in molecular evolution. Nature 2012, 490, 535. [Google Scholar] [CrossRef] [PubMed]
  2. Lunzer, M.; Golding, G.B.; Dean, A.M. Pervasive cryptic epistasis in molecular evolution. PLoS Genet. 2010, 6, e1001162. [Google Scholar] [CrossRef]
  3. Pollock, D.D.; Thiltgen, G.; Goldstein, R.A. Amino acid coevolution induces an evolutionary stokes shift. Proc. Nat. Acad. Sci. USA 2012, 109, E1352–E1359. [Google Scholar] [CrossRef] [PubMed]
  4. Starr, T.N.; Thornton, J.W. Epistasis in protein evolution. Prot. Sci. 2016, 25, 1204–1218. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Wang, Z.O.; Pollock, D.D. Context dependence and coevolution among amino acid residues in proteins. Methods Enzymol. 2005, 395, 779–790. [Google Scholar] [PubMed]
  6. Posfai, A.; Zhou, J.; Plotkin, J.B.; Kinney, J.B.; McCandlish, D.M. Selection for protein stability enriches for epistatic interactions. Genes 2018, 9, 423. [Google Scholar] [CrossRef] [PubMed]
  7. Knops, E.; Sierra, S.; Kalaghatgi, P.; Heger, E.; Kaiser, R.; Kalinina, O. Epistatic interactions in NS5A of hepatitis C virus suggest drug resistance mechanisms. Genes 2018, 9, 343. [Google Scholar] [CrossRef] [PubMed]
  8. Andreou, A.; Giastas, P.; Christoforides, E.; Eliopoulos, E. Structural and evolutionary insights within the polysaccharide deacetylase gene family of Bacillus anthracis and Bacillus cereus. Genes 2018, 9, 386. [Google Scholar] [CrossRef] [PubMed]
  9. Teufel, A.; Ritchie, A.; Wilke, C.; Liberles, D. Using the mutationselection framework to characterize selection on protein sequences. Genes 2018, 9, 409. [Google Scholar] [CrossRef] [PubMed]
  10. Taverna, D.M.; Goldstein, R.A. Why are proteins marginally stable? Proteins 2002, 46, 105–109. [Google Scholar] [CrossRef] [PubMed]
  11. Chi, P.B.; Liberles, D.A. Selection on protein structure, interaction, and sequence. Prot. Sci. 2016, 25, 1168–1178. [Google Scholar] [CrossRef] [PubMed]
  12. Ahrens, J.B.; Rahaman, J.; Siltberg-Liberles, J. Analysis of structural and functional factors reveals general trends in eukaryote protein evolution. Genes 2018, 9, 553. [Google Scholar] [CrossRef] [PubMed]
  13. Mesa-Torres, N.; Betancor-Fernandez, I.; Oppici, E.; Cellini, B.; Salido, E.; Pey, A. Evolutionary divergent suppressor mutations in conformational diseases. Genes 2018, 9, 352. [Google Scholar] [CrossRef] [PubMed]
  14. Bányai, L.; Kerekes, K.; Trexler, M.; Patthy, L. Morphological stasis and proteome innovation in cephalochordates. Genes 2018, 9, 353. [Google Scholar] [CrossRef] [PubMed]
  15. Zuckerkandl, E.; Pauling, L. Evolutionary divergence and convergence in protein. In Evolving Genes and Proteins; Bryson, V., Vogel, H., Eds.; Academic Press: New York, NY, USA, 1965; pp. 97–166. [Google Scholar]

Share and Cite

MDPI and ACS Style

Liberles, D.A.; Teufel, A.I. Evolution and Structure of Proteins and Proteomes. Genes 2018, 9, 583. https://doi.org/10.3390/genes9120583

AMA Style

Liberles DA, Teufel AI. Evolution and Structure of Proteins and Proteomes. Genes. 2018; 9(12):583. https://doi.org/10.3390/genes9120583

Chicago/Turabian Style

Liberles, David A., and Ashley I. Teufel. 2018. "Evolution and Structure of Proteins and Proteomes" Genes 9, no. 12: 583. https://doi.org/10.3390/genes9120583

APA Style

Liberles, D. A., & Teufel, A. I. (2018). Evolution and Structure of Proteins and Proteomes. Genes, 9(12), 583. https://doi.org/10.3390/genes9120583

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop