12 research outputs found

    Evolution and Genetics of Plant Sex Chromosomes

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    Sex chromosomes have evolved multiple times independently in different lineages and the parallel changes that have occurred during their formation suggest that there are general processes driving their evolution. In this thesis I used a variety of approaches, including genetic crossing experiments, mathematical modeling, and statistical analysis of DNA sequence data to study the evolution and genetics of sex chromosomes, focusing on the recently evolved X and Y chromosomes in the plant Rumex hastatulus. I developed methods to identify sex-linked genes using segregation analysis and transcriptome sequencing, and found that both ancestral and neo-Y chromosomes in R. hastatulus have started to genetically degenerate, causing ∼28% and ∼8% hemizygosity of ancestral and derived X chromosomes, respectively. Genes remaining on Y chromosomes also accumulated more amino acid replacements, contained more unpreferred changes in codon use, and exhibited significantly reduced gene expression compared with their X-linked alleles. This genetic degeneration is consistent with theoretical predictions of reduced Y-linked selection efficacy caused by suppressed recombination. My results indicate that the magnitude of genetic degeneration depends on the time since X-Y recombination became suppressed. I also found that diversity on the Y was 40-fold lower than on the X, and nearly 50-fold lower than on autosomes, indicating that selective interference has played a significant role in reducing nucleotide polymorphism during the early stages of X-Y divergence. I also developed a theoretical model to investigate the interactions between sex chromosomes, haploid-phase selection, and selection on the sex ratio. The model's results indicate that biased sex ratios can be evolutionarily stable when there is a trade-off between Fisherian selection on the sex ratio and selection for purging deleterious mutations in the haploid phase. This finding provides a novel evolutionary explanation for biased sex ratios in dioecious plants, where haploid-phase selection is widespread. In conclusion, my analyses indicate that the evolution of sex chromosomes from autosomes can result in significant changes to effective population size, recombination rate, and patterns of gene expression, all of which have important implications for DNA sequence evolution, including the effectiveness of natural selection, rates of molecular evolution, and patterns of genetic diversity.Ph.D

    Evolutionary Genomics of Peach and Almond Domestication

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    The domesticated almond [Prunus dulcis (L.) Batsch] and peach [P. persica (Mill.) D. A. Webb] originated on opposite sides of Asia and were independently domesticated ∼5000 yr ago. While interfertile, they possess alternate mating systems and differ in a number of morphological and physiological traits. Here, we evaluated patterns of genome-wide diversity in both almond and peach to better understand the impacts of mating system, adaptation, and domestication on the evolution of these taxa. Almond has around seven times the genetic diversity of peach, and high genome-wide FST values support their status as separate species. We estimated a divergence time of ∼8 MYA (million years ago), coinciding with an active period of uplift in the northeast Tibetan Plateau and subsequent Asian climate change. We see no evidence of a bottleneck during domestication of either species, but identify a number of regions showing signatures of selection during domestication and a significant overlap in candidate regions between peach and almond. While we expected gene expression in fruit to overlap with candidate selected regions, instead we find enrichment for loci highly differentiated between the species, consistent with recent fossil evidence suggesting fruit divergence long preceded domestication. Taken together, this study tells us how closely related tree species evolve and are domesticated, the impact of these events on their genomes, and the utility of genomic information for long-lived species. Further exploration of this data will contribute to the genetic knowledge of these species and provide information regarding targets of selection for breeding application, and further the understanding of evolution in these species

    Data from: Evolutionarily stable sex ratios and mutation load

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    Frequency-dependent selection should drive dioecious populations toward a 1:1 sex ratio, but biased sex ratios are widespread, especially among plants with sex chromosomes. Here, we develop population genetic models to investigate the relationships between evolutionarily stable sex ratios, haploid selection, and deleterious mutation load. We confirm that when haploid selection acts only on the relative fitness of X and Y-bearing pollen and the sex ratio is controlled by the maternal genotype, seed sex ratios evolve toward 1:1. When we also consider haploid selection acting on deleterious mutations, however, we find that biased sex ratios can be stably maintained, reflecting a balance between the advantages of purging deleterious mutations via haploid selection, and the disadvantages of haploid selection on the sex ratio. Our results provide a plausible evolutionary explanation for biased sex ratios in dioecious plants, given the extensive gene expression that occurs across plant genomes at the haploid stage

    CottonGen: The Community Database for Cotton Genomics, Genetics, and Breeding Research

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    Over the last eight years, the volume of whole genome, gene expression, SNP genotyping, and phenotype data generated by the cotton research community has exponentially increased. The efficient utilization/re-utilization of these complex and large datasets for knowledge discovery, translation, and application in crop improvement requires them to be curated, integrated with other types of data, and made available for access and analysis through efficient online search tools. Initiated in 2012, CottonGen is an online community database providing access to integrated peer-reviewed cotton genomic, genetic, and breeding data, and analysis tools. Used by cotton researchers worldwide, and managed by experts with crop-specific knowledge, it continuous to be the logical choice to integrate new data and provide necessary interfaces for information retrieval. The repository in CottonGen contains colleague, gene, genome, genotype, germplasm, map, marker, metabolite, phenotype, publication, QTL, species, transcriptome, and trait data curated by the CottonGen team. The number of data entries housed in CottonGen has increased dramatically, for example, since 2014 there has been an 18-fold increase in genes/mRNAs, a 23-fold increase in whole genomes, and a 372-fold increase in genotype data. New tools include a genetic map viewer, a genome browser, a synteny viewer, a metabolite pathways browser, sequence retrieval, BLAST, and a breeding information management system (BIMS), as well as various search pages for new data types. CottonGen serves as the home to the International Cotton Genome Initiative, managing its elections and serving as a communication and coordination hub for the community. With its extensive curation and integration of data and online tools, CottonGen will continue to facilitate utilization of its critical resources to empower research for cotton crop improvement
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