Biomedical subjects

Matthew W Hahn

Publications and source records attributed to Matthew W Hahn.

24 records · Page 2Linked to original sources

PubMed2003

Drift as a mechanism for cultural change: an example from baby names.

In the social sciences, there is currently no consensus on the mechanism by which cultural elements come and go in human society. For elements that are value-neutral, an appropriate null model may be one of random copying between individuals in the population. We show that the frequency distributions of baby names used in the United States in each decade of the twentieth century, for both males and females, obey a power law that is maintained over 100 years even though the population is growing, names are being introduced and lost every decade and large changes in the frequencies of specific names are common. We show that these distributions are satisfactorily explained by a simple process in which individuals randomly copy names from each other, a process that is analogous to the infinite-allele model of population genetics with random genetic drift. By its simplicity, this model provides a powerful null hypothesis for cultural change. It further explains why a few elements inevitably become highly popular, even if they have no intrinsic superiority over alternatives. Random copying could potentially explain power law distributions in other cultural realms, including the links on the World Wide Web.

Culture↗

PubMed2003

The evolution of transcriptional regulation in eukaryotes.

Gene expression is central to the genotype-phenotype relationship in all organisms, and it is an important component of the genetic basis for evolutionary change in diverse aspects of phenotype. However, the evolution of transcriptional regulation remains understudied and poorly understood. Here we review the evolutionary dynamics of promoter, or cis-regulatory, sequences and the evolutionary mechanisms that shape them. Existing evidence indicates that populations harbor extensive genetic variation in promoter sequences, that a substantial fraction of this variation has consequences for both biochemical and organismal phenotype, and that some of this functional variation is sorted by selection. As with protein-coding sequences, rates and patterns of promoter sequence evolution differ considerably among loci and among clades for reasons that are not well understood. Studying the evolution of transcriptional regulation poses empirical and conceptual challenges beyond those typically encountered in analyses of coding sequence evolution: promoter organization is much less regular than that of coding sequences, and sequences required for the transcription of each locus reside at multiple other loci in the genome. Because of the strong context-dependence of transcriptional regulation, sequence inspection alone provides limited information about promoter function. Understanding the functional consequences of sequence differences among promoters generally requires biochemical and in vivo functional assays. Despite these challenges, important insights have already been gained into the evolution of transcriptional regulation, and the pace of discovery is accelerating.

Animals↗

PubMed2003

The effects of selection against spurious transcription factor binding sites.

Most genomes contain nucleotide sequences with no known function; such sequences are assumed to be free of constraints, evolving only according to the vagaries of mutation. Here we show that selection acts to remove spurious transcription factor binding site motifs throughout 52 fully sequenced genomes of Eubacteria and Archaea. Examining the sequences necessary for polymerase binding, we find that spurious binding sites are underrepresented in both coding and noncoding regions. The average proportion of spurious binding sites found relative to the expected is 80% in eubacterial genomes and 89% in archaeal genomes. We also estimate the strength of selection against spurious binding sites in the face of the constant creation of new binding sites via mutation. Under conservative assumptions, we estimate that selection is weak, with the average efficacy of selection against spurious binding sites, Nes, of -0.12 for eubacterial genomes and -0.06 for archaeal genomes, similar to that of codon bias. Our results suggest that both coding and noncoding sequences are constrained by selection to avoid specific regions of sequence space.

Archaea↗

PubMed2002

Coding sequence divergence between two closely related plant species: Arabidopsis thaliana and Brassica rapa ssp. pekinensis.

To characterize the coding-sequence divergence of closely related genomes, we compared DNA sequence divergence between sequences from a Brassica rapa ssp. pekinensis EST library isolated from flower buds and genomic sequences from Arabidopsis thaliana. The specific objectives were (i) to determine the distribution of and relationship between K(a) and K(s), (ii) to identify genes with the lowest and highest K(a): K(s) values, and (iii) to evaluate how codon usage has diverged between two closely related species. We found that the distribution of K(a): K(s) was unimodal, and that substitution rates were more variable at nonsynonymous than synonymous sites, and detected no evidence that K(a) and K(s) were positively correlated. Several genes had K(a): K(s) values equal to or near zero, as expected for genes that have evolved under strong selective constraint. In contrast, there were no genes with K(a): K(s) >1 and thus we found no strong evidence that any of the 218 sequences we analyzed have evolved in response to positive selection. We detected a stronger codon bias but a lower frequency of GC at synonymous sites in A. thaliana than B. rapa. Moreover, there has been a shift in the profile of most commonly used synonymous codons since these two species diverged from one another. This shift in codon usage may have been caused by stronger selection acting on codon usage or by a shift in the direction of mutational bias in the B. rapa phylogenetic lineage.

Arabidopsis↗

PubMed2002

Distinguishing between selection and population expansion in an experimental lineage of bacteriophage T7.

Experimental evolution of short-lived organisms offers the opportunity to study the dynamics of polymorphism over time in a controlled environment. Here, we characterize DNA polymorphism data over time for four genes in bacteriophage T7. Our experiment ran for 2500 generations and populations were sampled after 500, 2000, and 2500 generations. We detect positive selection, purifying ("negative") selection, and population expansion in our experiment. We also present a statistical test that is able to distinguish demographic from selective events, processes that are hard to identify individually because both often produce an excess of rare mutations. Our "heterogeneity test" modifies common statistics measuring the frequency spectrum of polymorphism (e.g., Fu and Li's D) by looking for processes producing different patterns on nonsynonymous and synonymous mutations. Test results agree with the known conditions of the experiment, and we are therefore confident that this test offers a tool to evaluate natural populations. Our results suggest that instances of segregating deleterious mutations may be common, but as yet undetected, in nature.

Bacteriophage T7↗

PubMedDate not supplied

The g-value paradox.

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Alternative Splicing↗