Empirically testing the accuracy and bias of ancestral protein resurrection methods

Information

  • Research Project
  • 10240606
  • ApplicationId
    10240606
  • Core Project Number
    R01GM132499
  • Full Project Number
    5R01GM132499-03
  • Serial Number
    132499
  • FOA Number
    PA-18-484
  • Sub Project Id
  • Project Start Date
    9/17/2019 - 4 years ago
  • Project End Date
    8/31/2023 - 9 months ago
  • Program Officer Name
    LYSTER, PETER
  • Budget Start Date
    9/1/2021 - 2 years ago
  • Budget End Date
    8/31/2022 - a year ago
  • Fiscal Year
    2021
  • Support Year
    03
  • Suffix
  • Award Notice Date
    8/16/2021 - 2 years ago
Organizations

Empirically testing the accuracy and bias of ancestral protein resurrection methods

Project Summary/Abstract Ancestral sequence reconstruction (ASR) methods have now become widely used to experimentally analyze the properties of ancient biomolecules and to elucidate the mechanisms of molecular evolution. By recapitulating the structural, mechanistic, and functional changes of proteins during their evolution, ASR has been able to address many fundamental and challenging evolutionary questions where more traditional methods have failed. ASR methodology has also been highly successful in addressing biophysical problems in modern proteins, and it has recently drawn attention for its practical applications in protein bioengineering and design. Despite these advances, the accuracy, precision, and bias of resurrected ancestral sequences is currently unknown. Are the most probable ancestral sequences systematically biased to have anomalous biophysical properties? How well do the biochemical properties of resurrected proteins recapitulate the properties of the true ancestral biomolecules? Which evolutionary models provide the most accurate ancestral reconstructions? To give one well-known example of a potential bias, ancestrally resurrected proteins are often much more thermostable than their modern descendants, and it is currently controversial whether the observed high thermostability is a bona fide property of ancient proteins or rather is a methodological artifact. These questions are extremely difficult to answer definitively because the real ancestral proteins are generally lost to history, but we aim to provide experimental answers. This proposal will develop experimental methods for (1) evaluating the systematic bias in ancestral resurrections, (2) assessing the accuracy of reconstructed protein properties by comparison with the properties of the actual proteins, (3) validating competing evolutionary models for ASR analyses, and (4) high throughput analysis of ancestral posterior distributions for evolutionary studies and protein engineering.

IC Name
NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
  • Activity
    R01
  • Administering IC
    GM
  • Application Type
    5
  • Direct Cost Amount
    212500
  • Indirect Cost Amount
    132813
  • Total Cost
    345313
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    859
  • Ed Inst. Type
    SCHOOLS OF ARTS AND SCIENCES
  • Funding ICs
    NIGMS:345313\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    MSFD
  • Study Section Name
    Macromolecular Structure and Function D Study Section
  • Organization Name
    BRANDEIS UNIVERSITY
  • Organization Department
    BIOCHEMISTRY
  • Organization DUNS
    616845814
  • Organization City
    WALTHAM
  • Organization State
    MA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    024532728
  • Organization District
    UNITED STATES