Protein homologues often have common functions, with variation evolving via amino acid substitutions at specificity determinants (SDs). These residues may be located in binding sites or other """"""""long-range"""""""" regions of the protein. Predicting SDs is a current target of bioinformatics sequence analyses. Our long- term goal is to experimentally identify long-range SDs in the Lacl/GaIR family; the proposed work focuses on SDs in the linker that connects the DMA-binding domain to the regulatory domain. Hypotheses are derived from 4 different prediction strategies, which are only in partial agreement with each other. The common function of the Lacl/GaIR proteins - transcription control - allows """"""""moderate through-put"""""""" assays of function so that all predictions may be compared. We will test hypotheses in multiple homologues to address the question: Do homologues utilize all SDs available to the common fold (a frequent assumption of prediction algorithms) or do different functions require only a subset of potential SDs? Further, the aspect of function affected by changing an SD cannot yet be reliably predicted, nor is it clear whether a functional change for one SD is the same in all homologues. Our experiments will monitor different aspects of Lacl/GaIR function, including DMA specificity, DNA affinity, and allosteric response to binding regulatory effector molecules. Proposed experiments utilize chimeras comprising the Lacl DMA-binding domain and regulatory domains from E. coli paralogues. Linkers come from Lacl or paralogues. Since each naturally-occurring Lacl/GaIR protein recognizes a different DNA ligand, the common DNA-binding domain allows us to more easily parse functional contributions from binding site and long-range SDs. By definition, making an amino acid substitu- tion at an SD will change function. We will use in vivo repression/response to effector and in vitro thermody- namic measurements of affinity/allosteric response to characterize the chimeras and potential SD variants. Specificity for alternative DNA ligands will be determined. Experiments are designed to answer the following questions:
Aim 1 : Can one linker facilitate allosteric communication with a variety of regulatory domains? [or do altered linker SD interactions abolish this function?] Aim 2: What are the functional contributions from specific positions in the linker? Aim 3: Can knowledge of SDs [in one linker] be used to transplant lacO1 DNA-binding to other linkers? Results will: (1) Identify the locations of SDs and determine if they make similar functional contributions to several homologues; (2) Yield a list of empirical rules for creating novel Lacl/GaIR proteins with biotechnological utility via domain recombination; and (3) Test the current prediction algorithms and generate a new sequence/function database for improving predictions. This work will facilitate expanded use of data generated by the Human Genome Project. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
1R01GM079423-01A1
Application #
7319211
Study Section
Macromolecular Structure and Function B Study Section (MSFB)
Program Officer
Preusch, Peter C
Project Start
2007-08-01
Project End
2012-07-31
Budget Start
2007-08-01
Budget End
2008-07-31
Support Year
1
Fiscal Year
2007
Total Cost
$261,216
Indirect Cost
Name
University of Kansas
Department
Biochemistry
Type
Schools of Medicine
DUNS #
016060860
City
Kansas City
State
KS
Country
United States
Zip Code
66160
Sousa, Filipa L; Parente, Daniel J; Shis, David L et al. (2016) AlloRep: A Repository of Sequence, Structural and Mutagenesis Data for the LacI/GalR Transcription Regulators. J Mol Biol 428:671-678
Sousa, Filipa L; Parente, Daniel J; Hessman, Jacob A et al. (2016) Data on publications, structural analyses, and queries used to build and utilize the AlloRep database. Data Brief 8:948-57
Parente, Daniel J; Ray, J Christian J; Swint-Kruse, Liskin (2015) Amino acid positions subject to multiple coevolutionary constraints can be robustly identified by their eigenvector network centrality scores. Proteins 83:2293-306
Shis, David L; Hussain, Faiza; Meinhardt, Sarah et al. (2014) Modular, multi-input transcriptional logic gating with orthogonal LacI/GalR family chimeras. ACS Synth Biol 3:645-51
Parente, Daniel J; Swint-Kruse, Liskin (2013) Multiple co-evolutionary networks are supported by the common tertiary scaffold of the LacI/GalR proteins. PLoS One 8:e84398
Meinhardt, Sarah; Manley Jr, Michael W; Becker, Nicole A et al. (2012) Novel insights from hybrid LacI/GalR proteins: family-wide functional attributes and biologically significant variation in transcription repression. Nucleic Acids Res 40:11139-54
Tungtur, Sudheer; Skinner, Harlyn; Zhan, Hongli et al. (2011) In vivo tests of thermodynamic models of transcription repressor function. Biophys Chem 159:142-51
Tungtur, Sudheer; Parente, Daniel J; Swint-Kruse, Liskin (2011) Functionally important positions can comprise the majority of a protein's architecture. Proteins 79:1589-608
Tungtur, Sudheer; Meinhardt, Sarah; Swint-Kruse, Liskin (2010) Comparing the functional roles of nonconserved sequence positions in homologous transcription repressors: implications for sequence/function analyses. J Mol Biol 395:785-802
Swint-Kruse, Liskin; Matthews, Kathleen S (2009) Allostery in the LacI/GalR family: variations on a theme. Curr Opin Microbiol 12:129-37

Showing the most recent 10 out of 13 publications