Statistical method for testing the neutral mutation hypothesis by DNA polymorphism.

Evolution of Protein Molecules

Rapid improvements in sequencing and array-based platforms are resulting in a flood of diverse genome-wide data, including data from exome and whole-genome sequencing, epigenetic surveys, expression profiling of coding and noncoding RNAs, single nucleotide polymorphism (SNP) and copy number profiling, and functional assays. Analysis of these large, diverse data sets holds the promise of a more comprehensive understanding of the genome and its relation to human disease. Experienced and knowledgeable human review is an essential component of this process, complementing computational approaches. This calls for efficient and intuitive visualization tools able to scale to very large data sets and to flexibly integrate multiple data types, including clinical data. However, the sheer volume and scope of data pose a significant challenge to the development of such tools.

Integrative Genomics Viewer

EVidenceModeler (EVM) is presented as an automated eukaryotic gene structure annotation tool that reports eukaryotic gene structures as a weighted consensus of all available evidence. EVM, when combined with the Program to Assemble Spliced Alignments (PASA), yields a comprehensive, configurable annotation system that predicts protein-coding genes and alternatively spliced isoforms. Our experiments on both rice and human genome sequences demonstrate that EVM produces automated gene structure annotation approaching the quality of manual curation.

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Automated Eukaryotic Gene Structure Annotation Using EVidenceModeler and the Program to Assemble Spliced Alignments

LEARNING The objectives of BIOS 781 are to present: OBJECTIVES: 1. basic population and quantitative genetic principles, including classical genetics, chromosomal theory of inheritance, and meiotic recombination 2. an exposure to QTL mapping methods of complex quantitative traits and linkage methods to detect co-segregation with disease 3. methods for assessing marker-disease linkage disequilibrium, including case-control approaches 4. methods for genome-wide association and stratification control.

Genetic Data Analysis

Although polyploidy is believed to be a major source of evolutionary novelty, few studies have examined the genetic basis of phenotypic variation in wild polyploids. In this thesis I have studied the genetic basis of flowering time variation in the wild tetraploid crucifer Capsella bursa-pastoris, as well as the evolutionary history of this species. First, phylogenetic methods were employed to test hypotheses on the origin of C. bursa-pastoris. Based on DNA sequences from two chloroplast DNA loci and three independent nuclear genes, we found no support for the notion of C. bursa-pastoris as an autopolyploid of the diploid C. grandiflora, or an allopolyploid of C. grandiflora and C. rubella, even though some C. bursa-pastoris accessions shared alleles with C. rubella at nuclear loci. Using divergence population genetic methods, a larger sample of accessions and data for six duplicated nuclear genes, we found that allele sharing in sympatry was better explained by introgressive hybridization than by multiple origins of the tetraploid. The genetic basis of flowering time variation was examined using three approaches. A gene expression microarray study revealed that early- and late-flowering accessions differ in circadian rhythm, as well as in the gibberellin pathway affecting flowering time. Second, two QTL (Quantitative Trait Loci) for flowering time map to duplicated linkage groups. Third, polymorphisms at the candidate genes CRYPTOCHROME1 (CRY1), in one of the QTL regions, and FLOWERING LOCUS C (FLC) are associated with natural flowering time variation. Different FLC splice site polymorphisms are associated with flowering time in samples from Western Eurasia and China. The CRY1 association is only found in Europe, where alleles introgressed from C. rubella have an effect on flowering time. In conclusion, duplicated genes, introgressive hybridization and splicing variation may all have played a role in the evolution of flowering time variation in C. bursa-pastoris.

QTL mapping of flowering time using AFLP and candidate gene markers in the tetraploid Capsella bursa-pastoris (Brassicaceae).

Potato genomes pave the way to crop improvement

Mutations are typically classified by their effects on the nucleotide sequence and by their size. Here, we argue that if our main aim is to understand the effect of mutations on evolutionary outcomes (such as adaptation or speciation), we need to instead consider their population genetic and genomic effects, from altering recombination rate to modifying chromatin. We start by reviewing known population genetic and genomic effects of different mutation types and connect these to the major evolutionary processes of drift and selection. We illustrate how mutation type can thus be linked with evolutionary outcomes and provide suggestions for further exploring and quantifying these relationships. This reframing lays a foundation for determining the evolutionary significance of different mutation types.

Unboxing mutations: Connecting mutation types with evolutionary consequences

Arabidopsis and Capsella species

Fertilization in angiosperms involves the germination of pollen on the stigma, followed by the extrusion of a pollen tube that elongates through the style and delivers two sperm cells to the embryo sac. Sexual selection could occur throughout this process when male gametophytes compete for fertilization. The strength of sexual selection during pollen competition should be affected by the number of genotypes deposited on the stigma. As increased self-fertilization reduces the number of mating partners, and the genetic diversity and heterozygosity of populations, it should thereby reduce the intensity of sexual selection during pollen competition. Despite the prevalence of mating system shifts, few studies have directly compared the molecular signatures of sexual selection during pollen competition in populations with different mating systems. Here we analyzed whole-genome sequences from natural populations of Arabis alpina, a species showing mating system variation across its distribution, to test whether shifts from cross- to self-fertilization result in molecular signatures consistent with sexual selection on genes involved in pollen competition. We found evidence for efficient purifying selection on genes expressed in vegetative pollen, and overall weaker selection on sperm-expressed genes. This pattern was robust when controlling for gene expression level and specificity. In agreement with the expectation that sexual selection intensifies under cross-fertilization, we found that the efficacy of purifying selection on male gametophyte-expressed genes was significantly stronger in genetically more diverse and outbred populations. Our results show that intra-sexual competition shapes the evolution of pollen-expressed genes, and that its strength fades with increasing self-fertilization rates.

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Tanja Slotte

Papers

QTL mapping of flowering time using AFLP and candidate gene markers in the tetraploid Capsella bursa-pastoris (Brassicaceae).

Potato genomes pave the way to crop improvement

Unboxing mutations: Connecting mutation types with evolutionary consequences

Arabidopsis and Capsella species

Genomic signatures of sexual selection on pollen-expressed genes in Arabis alpina