Biomedical subjects

Daniel L Hartl

Publications and source records attributed to Daniel L Hartl.

58 records · Page 4Linked to original sources

PubMed2002

A maximum likelihood method for analyzing pseudogene evolution: implications for silent site evolution in humans and rodents.

We present a new likelihood method for detecting constrained evolution at synonymous sites and other forms of nonneutral evolution in putative pseudogenes. The model is applicable whenever the DNA sequence is available from a protein-coding functional gene, a pseudogene derived from the protein-coding gene, and an orthologous functional copy of the gene. Two nested likelihood ratio tests are developed to test the hypotheses that (1) the putative pseudogene has equal rates of silent and replacement substitutions; and (2) the rate of synonymous substitution in the functional gene equals the rate of substitution in the pseudogene. The method is applied to a data set containing 74 human processed-pseudogene loci, 25 mouse processed-pseudogene loci, and 22 rat processed-pseudogene loci. Using the informatics resources of the Human Genome Project, we localized 67 of the human-pseudogene pairs in the genome and estimated the GC content of a large surrounding genomic region for each. We find that, for pseudogenes deposited in GC regions similar to those of their paralogs, the assumption of equal rates of silent and replacement site evolution in the pseudogene is upheld; in these cases, the rate of silent site evolution in the functional genes is approximately 70% the rate of evolution in the pseudogene. On the other hand, for pseudogenes located in genomic regions of much lower GC than their functional gene, we see a sharp increase in the rate of silent site substitutions, leading to a large rate of rejection for the pseudogene equality likelihood ratio test.

Animals↗

PubMed2002

Patterns of insertion and deletion in contrasting chromatin domains.

Transposable elements (TEs) play a fundamental role in the evolution of genomes. In Drosophila they are disproportionately represented in regions of low recombination, such as in heterochromatin. This pattern has been attributed to selection against repeated elements in regions of normal recombination, owing to either (1) the slightly deleterious position effects of TE insertions near or into genes, or (2) strong selection against chromosomal abnormalities arising from ectopic exchange between TE repeats. We have used defective non-long-terminal repeat (LTR) TEs that are "dead-on-arrival" (DOA) and unable to transpose in order to estimate spontaneous deletion rates in different constituents of chromatin. These elements have previously provided evidence for an extremely high rate of spontaneous deletion in Drosophila as compared with mammals, potentially explaining at least part of the differences in the genome sizes in these organisms. However, rates of deletion could be overestimated due to positive selection for a smaller likelihood of ectopic exchange. In this article, we show that rates of spontaneous deletion in DOA repeats are as high in heterochromatin and regions of euchromatin with low recombination as they are in regions of euchromatin with normal recombination. We have also examined the age distribution of five non-LTR families throughout the genome. We show that there is substantial variation in the historical pattern of transposition of these TEs. The overrepresentation of TEs in the heterochromatin is primarily due to their longer retention time in heterochromatin, as evidenced by the average time since insertion. Fragments inserted recently are much more evenly distributed in the genome. This contrast demonstrates that the accumulation of TEs in heterochromatin and in euchromatic regions of low recombination is not due to biased transposition but by greater probabilities of fixation in these regions relative to regions of normal recombination.

Animals↗

PubMed2002

Genome evolution and developmental constraint in Caenorhabditis elegans.

It has been hypothesized that evolutionary changes will be more frequent in later ontogeny than early ontogeny because of developmental constraint. To test this hypothesis, a genomewide examination of molecular evolution through ontogeny was carried out using comparative genomic data in Caenorhabditis elegans and Caenorhabditis briggsae. We found that the mean rate of amino acid replacement is not significantly different between genes expressed during and after embryogenesis. However, synonymous substitution rates differed significantly between these two classes. A genomewide survey of correlation between codon bias and expression level found codon bias to be significantly correlated with mRNA expression (r(s) = -0.30 and P < 10(-131)) but does not alone explain differences in dS between classes. Surprisingly, it was found that genes expressed after embryogenesis have a significantly greater number of duplicates in both the C. elegans and C. briggsae genomes (P < 10(-20) and P < 10(-13)) when compared with early-expressed and nonmodulated genes. A similarity in the distribution of duplicates of nonmodulated and early-expressed genes, as well as a disproportionately higher number of early pseudogenes, lend support to the hypothesis that this difference in duplicate number is caused by selection against gene duplicates of early-expressed genes, reflecting developmental constraint. Developmental constraint at the level of gene duplication may have important implications for macroevolutionary change.

Amino Acid Substitution↗

PubMed2002

Pathway Processor: a tool for integrating whole-genome expression results into metabolic networks.

We have developed a new tool to visualize expression data on metabolic pathways and to evaluate which metabolic pathways are most affected by transcriptional changes in whole-genome expression experiments. Using the Fisher Exact Test, the method scores biochemical pathways according to the probability that as many or more genes in a pathway would be significantly altered in a given experiment by chance alone. This method has been validated on diauxic shift experiments and reproduces well known effects of carbon source on yeast metabolism. The analysis is implemented with Pathway Analyzer, one of the tools of Pathway Processor, a new statistical package for the analysis of whole-genome expression data. Results from multiple experiments can be compared, reducing the analysis from the full set of individual genes to a limited number of pathways of interest. The pathways are visualized with OpenDX, an open-source visualization software package, and the relationship between genes in the pathways can be examined in detail using Expression Mapper, the second program of the package. This program features a graphical output displaying differences in expression on metabolic charts of the biochemical pathways to which the open reading frames are assigned.

Energy Metabolism↗