title: Exploring the past and the future of protein evolution with ancestral sequence reconstruction: the 'retro' approach to protein engineering.
abstract: A central goal in molecular evolution is to understand the ways in which genes and proteins evolve in response to changing environments. In the absence of intact DNA from fossils, ancestral sequence reconstruction (ASR) can be used to infer the evolutionary precursors of extant proteins. To date, ancestral proteins belonging to eubacteria, archaea, yeast and vertebrates have been inferred that have been hypothesized to date from between several million to over 3 billion years ago. ASR has yielded insights into the early history of life on Earth and the evolution of proteins and macromolecular complexes. Recently, however, ASR has developed from a tool for testing hypotheses about protein evolution to a useful means for designing novel proteins. The strength of this approach lies in the ability to infer ancestral sequences encoding proteins that have desirable properties compared with contemporary forms, particularly thermostability and broad substrate range, making them good starting points for laboratory evolution. Developments in technologies for DNA sequencing and synthesis and computational phylogenetic analysis have led to an escalation in the number of ancient proteins resurrected in the last decade and greatly facilitated the use of ASR in the burgeoning field of synthetic biology. However, the primary challenge of ASR remains in accurately inferring ancestral states, despite the uncertainty arising from evolutionary models, incomplete sequences and limited phylogenetic trees. This review will focus, firstly, on the use of ASR to uncover links between sequence and phenotype and, secondly, on the practical application of ASR in protein engineering.
authors.affiliation: School of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia 4072, Australia.
authors.forename: Yosephine
authors.initials: Y
authors.lastname: Gumulya
authors.affiliation: School of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia 4072, Australia e.gillam@uq.edu.au.
authors.forename: Elizabeth M J
authors.initials: EM
authors.lastname: Gillam
mesh_terms: D019143:Evolution, Molecular; D008957:Models, Genetic; D010802:Phylogeny; D011506:Proteins / Q000235:genetics*
chemical_list: D011506:Proteins
keywords: ancestral sequence reconstruction; directed evolution; maximum likelihood; protein engineering; protein evolution; thermostabilty