Our lab is interested in understanding the causes and consequences of variation across genomes, among individuals of the same species, and between species. We pay particular attention to recombination as a fundamental parameter in the evolution of genes, genomes and, ultimately, species. We study the molecular causes and evolutionary consequences of recombination variation. To this end we apply an interdisciplinary approach using population genetics, bioinformatics, computer simulations, traditional genetics, and next-generation sequencing techniques to study genomes and transcriptomes. We take full advantage of the unparalleled genetic and genomic tools available in the Drosophila model system.

Evolution, Genetics

Adrian AB, Cruz Cochado J, Comeron JM. 2016. Predictive models of recombination rate variation across the Drosophila melanogaster genome. Genome Biol. Evol 8(8):2597-612. Comeron JM, Reed J, Christie M, Jacobs JS, Dierdorff J, Eberl DF, Manak JR. 2016. A Mismatch EndoNuclease Array-Based Methodology (MENA) for Identifying Known SNPs or Novel Point Mutations. Microarrays 5(2), 7. Comeron JM. 2014. Background selection as baseline for nucleotide variation across the Drosophila genome. PLoS Genetics 10(6): e1004434. Adrian AB, Comeron JM. 2013. The Drosophila early ovarian transcriptome provides insight to the molecular causes of recombination rate variation across genomes. BMC Genomics 14: 794 PubMed Google Scholar Comeron JM, Ratnappan R, Bailin S. 2012. The many landscapes of recombination in Drosophila melanogaster. PLoS Genetics 8(10):e1002905. PubMed Google Scholar