Homologue function can be differentiated by changing residues that affect binding sites or long-range interactions. LacI and PurR are two proteins that represent the LacI/GalR family (>500 members) of bacterial transcription regulators. All members have distinct DNA-binding and regulatory domains linked by approximately 18 amino acids. Each homologue has specificity for different DNA and regulatory effector ligands; LacI and PurR also exhibit differences in allosteric communication between DNA and effector binding sites. A comparative study of LacI and PurR suggested that alterations in the interface between the regulatory domain and linker are important for differentiating their functions. Four residues (equivalent to LacI positions 48, 55, 58, and 61) appear particularly important for creating a unique interface and were predicted to be necessary for allosteric regulation. However, nearby residues in the linker interact with DNA ligand. Thus, differences observed in interactions between linker and regulatory domain may be the cause of altered function or an effect of the two proteins binding different DNA ligands. To separate these possibilities, we created a chimeric protein with the LacI DNA-binding domain/linker and the PurR regulatory domain (LLhP). If the interface requires homologue-specific interactions in order to propagate the signal from effector binding, then LLhP repression should not be allosterically regulated by effector binding. Experiments show that LLhP is capable of repression from lacO1 and, contrary to expectation, allosteric response is intact. Further, restoring the potential for PurR-like interactions via substitutions in the LLhP linker tends to diminish repression. These effects are especially pronounced for residues 58 and 61. Clearly, binding affinity of LLhP for the lacO1 DNA site is sensitive to long-range changes in the linker. This result also raises the possibility that mutations at positions 58 and 61 co-evolved with changes in the DNA-binding site. In addition, repression measured in the absence and presence of effector ligand shows that allosteric response increases for several LLhP variants with substitutions at positions 48 and 55. Thus, while side chain variation at these sites does not generally dictate the presence or absence of allostery, the nature of the amino acid can modulate the response to effector.
Concomitant with the genomic era, many bioinformatics programs have been developed to identify functionally important positions from sequence alignments of protein families. To evaluate these analyses, many have used the LacI/GalR family and determined whether positions predicted to be "important" are validated by published experiments. However, we previously noted that predictions do not identify all of the experimentally important positions present in the linker regions of these homologs. In an attempt to reconcile these differences, we corrected and expanded the LacI/GalR sequence set commonly-used in sequence/function analyses. Next, a variety of analyses were carried out (1) for the entire LacI/GalR sequence set and (2) for a subset of homologs with functionally-important "YxPxxxAxxL" motifs in their linkers. This strategy was devised to determine whether predictions could be improved by knowledge-based sequence sorting and -for some analyses -did increase the number of linker positions identified. However, two functionally important linker positions were not reliably identified by any analysis. Finally, we compared the new predictions to all known experimental data for E. coli LacI and three homologous linkers. From these, we estimate that >50% of positions are important to the functions of the LacI/GalR homologs. In corollary, neutral positions might occur less frequently and might be easier to detect in sequence analyses. Although analyses have successfully guided mutations that partially exchange protein functions, a better experimental understanding of the sequence/ function relationships in protein families would be helpful for uncovering the remaining rules used by nature to evolve new protein functions.
One emphasis of the Gibbs Conference on Biothermodynamics is the value of thermodynamic measurements for understanding behaviors of biological systems. In this study, the correlation between thermodynamic measurements of in vitro DNA binding affinity with in vivo transcription repression was investigated for two transcription repressors. In the first system, which comprised an engineered LacI/GalR homolog, mutational changes altered the equilibrium constant for binding DNA. Changes correlated with altered repression, but estimates of in vivo repressor concentration suggest a ≥25-fold discrepancy with in vitro conditions. In the second system, changes in ligand binding to BirA altered dimerization and subsequent DNA occupancy. Again, these changes correlate with altered in vivo repression, but comparison with in vitro measurements reveals a ~10-fold discrepancy. Further analysis of each system suggests that the observed discrepancies between in vitro and in vivo results reflect the contributions of additional equilibria to the transcription repression process.
Peptidyl-prolyl cis/trans isomerases (PPIases) play a pivotal role in catalyzing the correct folding of many prokaryotic and eukaryotic proteins that are implicated in a variety of biological functions, ranging from cell cycle regulation to bacterial infection. The nif accessory protein NifM, which is essential for the biogenesis of a functional NifH component of nitrogenase, is a PPIase. To understand the nature of the molecular signature that defines the NifM dependence of NifH, we screened a library of nifH mutants in the nitrogen-fixing bacterium Azotobacter vinelandii for mutants that acquired NifM independence. Here, we report that NifH can acquire NifM independence when the conserved Pro258 located in the C-terminal region of NifH, which wraps around the other subunit in the NifH dimer, is replaced by serine.Peptidyl-prolyl cis/trans isomerases (PPIases) catalyze the cis/trans isomerization of the peptidyl-prolyl peptide bond in oligopeptides and proteins, a rate-limiting step in the process of protein folding that is essential for generating functional proteins (5-7). Some denatured proteins regain their native conformations within milliseconds to seconds, whereas others refold very slowly, with the time ranging from minutes to hours. The slow conformational changes arise from the wellknown delocalization of electrons in the amide bond and are even more pronounced if additional steric constraints are imposed by the proline ring. PPIases enhance the rate of refolding of the slowly folding forms of denatured proteins by catalyzing the cis/trans isomerization of these peptidyl-prolyl bonds (5,19
The explosion of protein sequences deduced from genetic code has led to both a problem and a potential resource: Efficient data use requires interpreting the functional impact of sequence change without experimentally characterizing each protein variant. Several groups have hypothesized that interpretation could be aided by analyzing the sequences of naturally-occurring homologues. To that end, myriad sequence/function analyses have been developed to predict which conserved, semi-, and non-conserved positions are functionally important. These positions must be discriminated from the non-conserved positions that are functionally silent. However, the assumptions that underlie sequence analyses are based on experimental results that are sparse and usually designed to address different questions. Here, we use three homologues from a test family common to bioinformatics – the LacI/GalR transcription repressors – to test a common assumption: If a position is functionally important for one family member, it has similar importance in all homologues. We generated experimental sequence/function information for each non-conserved position in the 18 amino acids that link the DNA-binding and regulatory domains of three LacI/GalR homologues. We find that the functional importance of each position is preserved among the three linkers, albeit to different degrees. We also find that every linker position contributes to function, which has two-fold implications. (1) Since the linker positions range from highly to semi- to non-conserved, and contribute to affinity, selectivity, and allosteric response, we assert that sequence/function analyses must identify positions in the LacI/GalR linkers to be qualified as “successfulâ€
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