Biomedical subjects

Cristian I Castillo-Davis

Publications and source records attributed to Cristian I Castillo-Davis.

5 recordsLinked to original sources

PubMed2003

Sex-dependent gene expression and evolution of the Drosophila transcriptome.

Comparison of the gene-expression profiles between adults of Drosophila melanogaster and Drosophila simulans has uncovered the evolution of genes that exhibit sex-dependent regulation. Approximately half the genes showed differences in expression between the species, and among these, approximately 83% involved a gain, loss, increase, decrease, or reversal of sex-biased expression. Most of the interspecific differences in messenger RNA abundance affect male-biased genes. Genes that differ in expression between the species showed functional clustering only if they were sex-biased. Our results suggest that sex-dependent selection may drive changes in expression of many of the most rapidly evolving genes in the Drosophila transcriptome.

Animals↗

PubMed2003

GeneMerge--post-genomic analysis, data mining, and hypothesis testing.

SUMMARY: GeneMerge is a web-based and standalone program written in PERL that returns a range of functional and genomic data for a given set of study genes and provides statistical rank scores for over-representation of particular functions or categories in the data set. Functional or categorical data of all kinds can be analyzed with GeneMerge, facilitating regulatory and metabolic pathway analysis, tests of population genetic hypotheses, cross-experiment comparisons, and tests of chromosomal clustering, among others. GeneMerge can perform analyses on a wide variety of genomic data quickly and easily and facilitates both data mining and hypothesis testing. AVAILABILITY: GeneMerge is available free of charge for academic use over the web and for download from: http://www.oeb.harvard.edu/hartl/lab/publications/GeneMerge.html.

Algorithms↗

PubMed2003

Genetic diversity in yeast assessed with whole-genome oligonucleotide arrays.

The availability of a complete genome sequence allows the detailed study of intraspecies variability. Here we use high-density oligonucleotide arrays to discover 11,115 single-feature polymorphisms (SFPs) existing in one or more of 14 different yeast strains. We use these SFPs to define regions of genetic identity between common laboratory strains of yeast. We assess the genome-wide distribution of genetic variation on the basis of this yeast population. We find that genome variability is biased toward the ends of chromosomes and is more likely to be found in genes with roles in fermentation or in transport. This subtelomeric bias may arise through recombination between nonhomologous sequences because full-gene deletions are more common in these regions than in more central regions of the chromosome.

Chromosome Mapping↗

PubMed2002

Selection for short introns in highly expressed genes.

Transcription is a slow and expensive process: in eukaryotes, approximately 20 nucleotides can be transcribed per second at the expense of at least two ATP molecules per nucleotide. Thus, at least for highly expressed genes, transcription of long introns, which are particularly common in mammals, is costly. Using data on the expression of genes that encode proteins in Caenorhabditis elegans and Homo sapiens, we show that introns in highly expressed genes are substantially shorter than those in genes that are expressed at low levels. This difference is greater in humans, such that introns are, on average, 14 times shorter in highly expressed genes than in genes with low expression, whereas in C. elegans the difference in intron length is only twofold. In contrast, the density of introns in a gene does not strongly depend on the level of gene expression. Thus, natural selection appears to favor short introns in highly expressed genes to minimize the cost of transcription and other molecular processes, such as splicing.

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↗