GOOGA: A platform to synthesize mapping experiments and identify genomic structural diversity

Understanding genomic structural variation such as inversions and translocations is a key challenge in evolutionary genetics. We develop a novel statistical approach to comparative genetic mapping to detect large-scale structural mutations from low-level sequencing data. The procedure, called Genome Order Optimization by Genetic Algorithm (GOOGA), couples a Hidden Markov Model with a Genetic Algorithm to analyze data from genetic mapping populations. We demonstrate the method using both simulated data (calibrated from experiments on Drosophila melanogaster) and real data from five distinct crosses within the flowering plant genus Mimulus. Application of GOOGA to the Mimulus data corrects numerous errors (misplaced sequences) in the M. guttatus reference genome and confirms or detects eight large inversions polymorphic within the species complex. Finally, we show how this method can be applied in genomic scans to improve the accuracy and resolution of Quantitative Trait Locus (QTL) mapping.

Sculpin hybrid zones: natural laboratories for the early stages of speciation

Firmly rooted as we are in the genomic era, it can seem incredible that as recently as 1974, Lewontin declared, 'we know virtually nothing about the genetic changes that occur in species formation'. To the contrary, we now know the genetic architecture of phenotypic differences and reproductive isolation between species for many diverse groups of plants, animals, and fungi. In recent years, detailed genetic analyses have produced a small but growing list of genes that cause reproductive isolation, several of which appear to have diverged by natural selection. Yet, a full accounting of the speciation process requires that we understand the reproductive and ecological properties of natural populations as they begin to diverge genetically, as well as the dynamics of newly evolved barriers to gene flow. One promising approach to this problem is the study of natural hybrid zones, where gene exchange between divergent populations can produce recombinant genotypes in situ. In such individuals, genomic variation might be shaped by introgression at universally adaptive or neutral loci, even as regions associated with local adaptation or reproductive isolation remain divergent. In Nolte et al. (2009), the authors take advantage of two independent, recently formed hybrid zones between sculpin species to investigate genome-wide patterns of reproductive isolation. Using a recently developed genomic clines method, the authors identify marker loci that are associated with isolation, and those that show evidence for adaptive introgression. Remarkably, Nolte et al. (2009) find little similarity between the two hybrid zones in patterns of introgression, a fact that might reflect genetic variation within species or heterogeneous natural selection. In either case, their study system has the potential to provide insight into the early stages of speciation.