On the selection and evolution of regulatory DNA motifs

被引:82
作者
Gerland, U [1 ]
Hwa, T
机构
[1] Univ Calif San Diego, Dept Phys, La Jolla, CA 92093 USA
[2] Univ Calif Santa Barbara, Inst Theoret Phys, Santa Barbara, CA 93106 USA
关键词
transcription regulation; mutation-selection model; error threshold; regulatory sequences;
D O I
10.1007/s00239-002-2335-z
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The mutation and selection of regulatory DNA sequences are presented as an ideal model system of molecular evolution where genotype, phenotype, and fitness can be explicitly and independently characterized. In this theoretical study, we construct an explicit model for the evolution of regulatory sequences, making use of the known biophysics of the binding of regulatory proteins to DNA sequences, under the assumption that fitness of a sequence depends only on its binding affinity to the regulatory protein. The model is confined to the mean field (i.e., infinite population size) limit. Using realistic values for all parameters, we determine the minimum fitness advantage needed to maintain a binding sequence, demonstrating explicitly the "error threshold" below which a binding sequence cannot survive the accumulated effect of mutation over long time. The commonly observed "fuzziness" in binding motifs arises naturally as a consequence of the balance between selection and mutation in our model. In addition, we devise a simple model for the evolution of multiple binding sequences in a given regulatory region. We find the number of evolutionarily stable binding sequences to increase in a step-like fashion with increasing fitness advantage, if multiple regulatory proteins can synergistically enhance gene transcription. We discuss possible experimental approaches to resolve open questions raised by our study.
引用
收藏
页码:386 / 400
页数:15
相关论文
共 37 条
[1]  
[Anonymous], 1996, Escherichia coli and Salmonella typhimurium: Cellular and Molecular Biology
[2]  
ATKINS PW, 1998, PHYSICAL CHEM
[3]   Ising quantum chain is equivalent to a model of biological evolution [J].
Baake, E ;
Baake, M ;
Wagner, H .
PHYSICAL REVIEW LETTERS, 1997, 78 (03) :559-562
[4]   DIFFUSION-DRIVEN MECHANISMS OF PROTEIN TRANSLOCATION ON NUCLEIC-ACIDS .1. MODELS AND THEORY [J].
BERG, OG ;
WINTER, RB ;
VONHIPPEL, PH .
BIOCHEMISTRY, 1981, 20 (24) :6929-6948
[5]   SELECTION OF DNA-BINDING SITES BY REGULATORY PROTEINS - STATISTICAL-MECHANICAL THEORY AND APPLICATION TO OPERATORS AND PROMOTERS [J].
BERG, OG ;
VONHIPPEL, PH .
JOURNAL OF MOLECULAR BIOLOGY, 1987, 193 (04) :723-743
[6]   Transcription activation by catabolite activator protein (CAP) [J].
Busby, S ;
Ebright, RH .
JOURNAL OF MOLECULAR BIOLOGY, 1999, 293 (02) :199-213
[7]   SELFORGANIZATION OF MATTER AND EVOLUTION OF BIOLOGICAL MACROMOLECULES [J].
EIGEN, M .
NATURWISSENSCHAFTEN, 1971, 58 (10) :465-+
[8]  
EIGEN M, 1989, ADV CHEM PHYS, V75, P149
[9]   Quantitative specificity of the Mnt repressor [J].
Fields, DS ;
He, YY ;
AlUzri, AY ;
Stormo, GD .
JOURNAL OF MOLECULAR BIOLOGY, 1997, 271 (02) :178-194
[10]  
Gerhart J., 1997, CELLS EMBRYOS EVOLUT