Literature DB >> 30298396

High-Throughput Reconstruction of Ancestral Protein Sequence, Structure, and Molecular Function.

Kelsey Aadland1, Charles Pugh1, Bryan Kolaczkowski2,3.   

Abstract

Ancestral protein sequence reconstruction is a powerful technique for explicitly testing hypotheses about the evolution of molecular function, allowing researchers to meticulously dissect how historical changes in protein sequence impacted functional repertoire by altering the protein's 3D structure. These techniques have provided concrete, experimentally validated insights into ancient evolutionary processes and help illuminate the complex relationship between protein sequence, structure, and function. Inferring the protein family phylogenies on which ancestral sequence reconstruction depends and reconstructing the sequences, themselves, are amenable to high-throughput computational analysis. However, determining the structures of ancestral-reconstructed proteins and characterizing their functions typically rely on time-consuming and expensive laboratory analyses, limiting most current studies to examining a relatively small number of specific hypotheses. For this reason, we have little detailed, unbiased information about how molecular function evolves across large protein family phylogenies. Here we describe a generalized protocol that integrates ancestral sequence reconstruction with structural homology modeling and structure-based molecular affinity prediction to characterize historical changes in protein function across families with thousands of individual sequences. We highlight key steps in the analysis protocol requiring particularly careful attention to avoid introducing potential errors as well as steps for which computationally efficient subroutines can be substituted for more intensive approaches, allowing researchers to scale the analysis up or down, depending on available resources and requirements for reproducibility and scientific rigor. In our view, this approach provides a compelling compliment to more laboratory-intensive procedures, generating important contextual information that can help guide detailed experiments.

Keywords:  Affinity prediction; Ancestral sequence reconstruction; Molecular evolution; Protein evolution; Protein function prediction; Structural modeling

Mesh:

Substances:

Year:  2019        PMID: 30298396     DOI: 10.1007/978-1-4939-8736-8_8

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

1.  An Integrated Method to Reconstruct Ancient Proteins.

Authors:  Amanda K Garcia; Evrim Fer; Cathryn Sephus; Betul Kacar
Journal:  Methods Mol Biol       Date:  2022

2.  Reconstruction of Nitrogenase Predecessors Suggests Origin from Maturase-Like Proteins.

Authors:  Amanda K Garcia; Bryan Kolaczkowski; Betül Kaçar
Journal:  Genome Biol Evol       Date:  2022-03-02       Impact factor: 3.416

3.  Earliest Photic Zone Niches Probed by Ancestral Microbial Rhodopsins.

Authors:  Cathryn D Sephus; Evrim Fer; Amanda K Garcia; Zachary R Adam; Edward W Schwieterman; Betul Kacar
Journal:  Mol Biol Evol       Date:  2022-05-03       Impact factor: 8.800

4.  Reconstructing the evolutionary history of nitrogenases: Evidence for ancestral molybdenum-cofactor utilization.

Authors:  Amanda K Garcia; Hanon McShea; Bryan Kolaczkowski; Betül Kaçar
Journal:  Geobiology       Date:  2020-02-17       Impact factor: 4.407

  4 in total

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