Biomedical subjects

Daniel J Gaffney

Publications and source records attributed to Daniel J Gaffney.

6 recordsLinked to original sources

PubMed2006

Genomic selective constraints in murid noncoding DNA.

Recent work has suggested that there are many more selectively constrained, functional noncoding than coding sites in mammalian genomes. However, little is known about how selective constraint varies amongst different classes of noncoding DNA. We estimated the magnitude of selective constraint on a large dataset of mouse-rat gene orthologs and their surrounding noncoding DNA. Our analysis indicates that there are more than three times as many selectively constrained, nonrepetitive sites within noncoding DNA as in coding DNA in murids. The majority of these constrained noncoding sites appear to be located within intergenic regions, at distances greater than 5 kilobases from known genes. Our study also shows that in murids, intron length and mean intronic selective constraint are negatively correlated with intron ordinal number. Our results therefore suggest that functional intronic sites tend to accumulate toward the 5' end of murid genes. Our analysis also reveals that mean number of selectively constrained noncoding sites varies substantially with the function of the adjacent gene. We find that, among others, developmental and neuronal genes are associated with the greatest numbers of putatively functional noncoding sites compared with genes involved in electron transport and a variety of metabolic processes. Combining our estimates of the total number of constrained coding and noncoding bases we calculate that over twice as many deleterious mutations have occurred in intergenic regions as in known genic sequence and that the total genomic deleterious point mutation rate is 0.91 per diploid genome, per generation. This estimated rate is over twice as large as a previous estimate in murids.

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PubMed2005

The scale of mutational variation in the murid genome.

Mutation rates vary across mammalian genomes, but little is known about the scale over which this variation occurs. Knowledge of the magnitude and scale of mutational variation is required to understand the processes that drive mutation, and is essential in formulating a robust null hypothesis for comparative genomics studies. Here we estimate the scale of mutational variation in the murid genome by calculating the spatial autocorrelation of nucleotide substitution rates in ancestral repeats. Such transposable elements are good candidates for neutrally evolving sequence and therefore well suited for the study of mutation rate variation. We find that the autocorrelation coefficient decays to a value close to zero by approximately 15 Mb, with little apparent variation in mutation rate under 100 kb. We conclude that the primary scale over which mutation rates vary is subchromosomal. Furthermore, our analysis shows that within-chromosome mutational variability exceeds variation among chromosomes by approximately one order of magnitude. Thus, differences in mutation rate between different regions of the same chromosome frequently exceed differences both between whole autosomes and between autosomes and the X-chromosome. Our results indicate that factors other than the time spent in the male germ line are important in driving mutation rates. This raises questions about the biological mechanism(s) that produce new mutations and has implications for the study of male-driven evolution.

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PubMed2005

Evolutionary constraints in conserved nongenic sequences of mammals.

Mammalian genomes contain many highly conserved nongenic sequences (CNGs) whose functional significance is poorly understood. Sets of CNGs have previously been identified by selecting the most conserved elements from a chromosome or genome, but in these highly selected samples, conservation may be unrelated to purifying selection. Furthermore, conservation of CNGs may be caused by mutation rate variation rather than selective constraints. To account for the effect of selective sampling, we have examined conservation of CNGs in taxa whose evolution is largely independent of the taxa from which the CNGs were initially identified, and we have controlled for mutation rate variation in the genome. We show that selective constraints in CNGs and their flanks are about one-half as strong in hominids as in murids, implying that hominids have accumulated many slightly deleterious mutations in functionally important nongenic regions. This is likely to be a consequence of the low effective population size of hominids leading to a reduced effectiveness of selection. We estimate that there are one and two times as many conserved nucleotides in CNGs as in known protein-coding genes of hominids and murids, respectively. Polymorphism frequencies in CNGs indicate that purifying selection operates in these sequences. During hominid evolution, we estimate that a total of about three deleterious mutations in CNGs and protein-coding genes have been selectively eliminated per diploid genome each generation, implying that deleterious mutations are eliminated from populations non-independently and that sex is necessary for long-term population persistence.

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PubMed2004

Unexpected conserved non-coding DNA blocks in mammals.

The significance of non-coding DNA is a longstanding riddle in the study of molecular evolution. Using a comparative genomics approach, Dermitzakis and colleagues have recently shown that at least some non-coding sequence, frequently ignored as meaningless noise, might bear the signature of natural selection. If functional, it could mark a turning point in the way we think about the evolution of the genome.

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PubMed2003

Functional constraints and frequency of deleterious mutations in noncoding DNA of rodents.

Selection against deleterious mutations imposes a mutation load on populations because individuals die or fail to reproduce. In vertebrates, estimates of genomic rates of deleterious mutations in protein-coding genes imply the existence of a substantial mutation load, but many functionally important regions of the genome are thought to reside in noncoding DNA, and the contribution of noncoding DNA to the mutation load has been unresolved. Here, we infer the frequency of deleterious mutations in noncoding DNA of rodents by comparing rates of substitution at noncoding nucleotides with rates of substitution at the fastest evolving intronic sites of adjacent genes sampled from the whole genome sequences of mouse and rat. We show that the major elements of selectively constrained noncoding DNA are within 2,500 bp upstream and downstream of coding sequences and in first introns. Our estimate of the genomic deleterious point mutation rate for noncoding DNA (0.22 per diploid per generation) is similar to that for coding DNA. Mammalian populations therefore experience a substantial genetic load associated with selection against deleterious mutations in noncoding DNA. Deleterious mutations in noncoding DNA have predominantly quantitative effects and could be an important source of the burden of complex genetic disease variation in human populations.

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PubMedDate not supplied

DNA sequence error rates in Genbank records estimated using the mouse genome as a reference.

We estimate DNA sequence error rates in Genbank records containing protein-coding and non-coding DNA sequences by comparing sequences of the inbred mouse strain C57BL/6J, sequenced as part of the mouse genome project and independently by other laboratories. C57BL/6J was produced by more than 100 generations of brother-sister mating, and can be assumed to be virtually free of residual polymorphism and mutational variation, so differences between independent sequences can be attributed to error. The estimated single nucleotide error rate for coding DNA is 0.10% (SE 0.012%), which is substantially lower than previous estimates for error rates in Genbank accessions. The estimated single nucleotide error rate for intronic DNA sequences (0.22%; SE 0.051%) is significantly higher than the rate for coding DNA. Since error rates for the mouse genome sequence are very low, the vast majority of the errors we detected are likely to be in individual Genbank accessions. The frequency of insertion-deletion (indel) errors in non-coding DNA approaches that of single nucleotide errors in non-coding DNA, whereas indel errors are uncommon in coding sequences.

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