Browsing by Subject "Population structure"
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Item Open Access Allele frequency spectra in structured populations: Novel-allele probabilities under the labelled coalescent.(Theoretical population biology, 2020-06) Uyenoyama, Marcy K; Takebayashi, Naoki; Kumagai, SeijiWe address the effect of population structure on key properties of the Ewens sampling formula. We use our previously-introduced inductive method for determining exact allele frequency spectrum (AFS) probabilities under the infinite-allele model of mutation and population structure for samples of arbitrary size. Fundamental to the sampling distribution is the novel-allele probability, the probability that given the pattern of variation in the present sample, the next gene sampled belongs to an as-yet-unobserved allelic class. Unlike the case for panmictic populations, the novel-allele probability depends on the AFS of the present sample. We derive a recursion that directly provides the marginal novel-allele probability across AFSs, obviating the need first to determine the probability of each AFS. Our explorations suggest that the marginal novel-allele probability tends to be greater for initial samples comprising fewer alleles and for sampling configurations in which the next-observed gene derives from a deme different from that of the majority of the present sample. Comparison to the efficient importance sampling proposals developed by De Iorio and Griffiths and colleagues indicates that their approximation for the novel-allele probability generally agrees with the true marginal, although it may tend to overestimate the marginal in cases in which the novel-allele probability is high and migration rates are low.Item Open Access Computational Methods For Functional Motif Identification and Approximate Dimension Reduction in Genomic Data(2011) Georgiev, StoyanUncovering the DNA regulatory logic in complex organisms has been one of the important goals of modern biology in the post-genomic era. The sequencing of multiple genomes in combination with the advent of DNA microarrays and, more recently, of massively parallel high-throughput sequencing technologies has made possible the adoption of a global perspective to the inference of the regulatory rules governing the context-specific interpretation of the genetic code that complements the more focused classical experimental approaches. Extracting useful information and managing the complexity resulting from the sheer volume and the high-dimensionality of the data produced by these genomic assays has emerged as a major challenge which we attempt to address in this work by developing computational methods and tools, specifically designed for the study of the gene regulatory processes in this new global genomic context.
First, we focus on the genome-wide discovery of physical interactions between regulatory sequence regions and their cognate proteins at both the DNA and RNA level. We present a motif analysis framework that leverages the genome-wide
evidence for sequence-specific interactions between trans-acting factors and their preferred cis-acting regulatory regions. The utility of the proposed framework is demonstarted on DNA and RNA cross-linking high-throughput data.
A second goal of this thesis is the development of scalable approaches to dimension reduction based on spectral decomposition and their application to the study of population structure in massive high-dimensional genetic data sets. We have developed computational tools and have performed theoretical and empirical analyses of their statistical properties with particular emphasis on the analysis of the individual genetic variation measured by Single Nucleotide Polymorphism (SNP) microrarrays.
Item Open Access Connecting Populations Across Ocean Basins: Genomics of Short-finned Pilot Whales (Globicephala macrorhynchus) in the Western North Atlantic(2022-04-18) Hanson, SophieShort-finned pilot whales (Globicephala macrorhynchus) are widely-distributed throughout the Atlantic Ocean. These whales are capable of traveling large distances, yet their regional movement patterns and population structure are poorly defined, making stock identification and species management challenging. To understand the population structure of these whales, I analyzed genetic relatedness across 56 distinct individuals in three geographic locations: the Caribbean nation of St. Vincent & the Grenadines (n = 17), Florida, USA (n = 7), and North Carolina, USA (n = 36). I generated genetic sequences from tissue samples using double digest restriction site associated DNA sequencing (ddRAD-Seq). I then derived 3,227 single nucleotide polymorphisms (SNPs) from the Freebayes bioinformatics pipeline. To infer population structure, I used a Bayesian clustering analysis implemented in STRUCTURE software. The results indicate that individuals from all of the three sampling locations are genetically similar. This supports the hypothesis that there is substantial gene flow between the eastern Caribbean and southeast United States. It is likely that the Gulf Stream and extensive continental shelf facilitate long-ranging individual or group movement, and thus connectivity. Interestingly, results also indicate a second, genetically-distinct population comprised of three individuals (two from St. Vincent and one from North Carolina). While more sampling is needed to confirm this second population, it is possible that there is a larger oceanic stock in the western North Atlantic. Together, these findings can be used to better inform the management of short-finned pilot whales, which is imperative considering rising anthropogenic pressures, mass-strandings, and the species’ cultural importance in artisanal whaling.Item Open Access Introgression, Population Structure, and Systematics of the Sphagnum capillifolium complex(2023) Imwattana, KarnHow geographical distance and historical events affect patterns of population divergence and gene flow is an important question in evolution and biogeography. Sphagnum subgenus Acutifolia is one of the four major subgenera of Sphagnum peatmoss comprising numerous species with broad geographic ranges and diverse ecological niches within wetland habitats. One group of particular interest within the subgenus is the S. capillifolium complex which contains at least seven closely related species. Five species within the complex are circumboreal and all have overlapping geographic ranges, one species is endemic to subtropical region of eastern North America, and one species is in the tropical regions of Central and South America. The presence of both species with overlapping and disjunct distributions makes the Sphagnum capillifolium complex a natural experiment to investigate gene flow and population divergence in multiple phylogenetic scales (within and between species). Chapter 1 describes patterns of phylogenetic discordance across the genome in the Sphagnum capillifolium complex using whole genome resequencing data. The species tree phylogeny was generally well supported but phylogenetic discordance among genomic regions was prevalent, especially at nodes in the backbone. Alternative topologies for each of the backbone nodes were not random, suggesting the presence of introgression, in addition to incomplete lineage sorting (ILS). Analyses of introgression signals using ABBA/BABA tests and branch length distributions (QuIBL) showed that there were several possible introgression events within the S. capillifolium complex involving both extant and ancestral species. Most of the introgression events occurred between species that currently have overlapping geographic ranges. Further investigation of one introgression event using comparisons of terminal branch lengths showed that the biased pattern of shared derived alleles likely derives from introgression, not ancient polymorphism. These findings show that introgression played a significant role in generating phylogenetic incongruence within the S. capillifolium complex. We also show that the use of multiple phylogenomic methods and investigating localized genomic regions are essential to infer complex introgression scenarios. Chapter 2 describes phylogenetic structure of Sphagnum subgenus Acutifolia and population structure of circumboreal species within the S. capillifolium complex. Genome scale data (RAD-seq) was generated for the subgenus, with an intensive population sampling of circumboreal species within the S. capillifolium complex. Most of the species are resolved as monophyletic, although relationships among species are weakly supported in some parts of the phylogeny. Some currently recognized species are phylogenetically discernable while others are not distinguishable from the well-supported species. Within the S. capillifolium complex, five circumboreal species show similar patterns of population structure. One population system comprises plants in eastern North America and Europe, and sometimes includes plants from eastern Eurasia and the Pacific Northwest of North America. Another group comprises plants in the Pacific Northwest, or around the Beringian and Arctic regions. Our results suggest that populations of circumboreal species survived in multiple refugia during the last glacial maximum (LGM). Long-distance dispersal out of refugia, population bottlenecks, and possible adaptations to conditions unique to each refugium contribute to current geographic patterns. There are patterns of genetic admixture among distinct genotype groups within species in some restricted areas. Alaska is a hotspot for both intraspecific genetic diversity and admixture. These genetic results indicate the important role of historical events, especially Pleistocene glaciation, in shaping the complex population structure of plants with broad distribution ranges. Chapter 3 assesses the pattern of gene flow between a pair of sister Sphagnum species within the S. capillifolium complex: S. warnstorfii and S. talbotianum. The two species have different distribution ranges: S. warnstorfii is circumboreal while S. talbotianum is circumarctic, but they overlap in Alaska. Genetic data from chapter 2 were used in this chapter. Analyses of interspecific gene flow and population sizes were accomplished using coalescent simulations of site frequency spectra (SFSs), and the signature of gene flow was further corroborated by ABBA/BABA statistics. Our results indicate that S. warnstorfii and S. talbotianum were isolated after divergence. S. warnstorfii was relatively recently established in Alaska and Alaska is the only region that shows evidence of gene flow between S. talbotianum and S. warnstorfii. Gene flow occurred in only one direction from S. talbotianum into S. warnstorfii, which can possibly help S. warnstorfii survive in subarctic conditions. Molecular evidence further suggests gene flow from Alaska S. warnstorfii to other regional populations of that species. S. warnstorfii suffered a stronger population bottleneck than S. talbotianum, suggesting that Beringia could have harbored larger populations during the last glacial maximum than other, likely more southern, refugia. Although the two species are very closely related, S. talbotianum has larger pores on the convex surfaces of branch leaf apices than S. warnstorfii. Our results represent a case study of a recent gene flow between geographically sympatric peatmoss species using genomic data. Our results also support S. talbotianum as a distinct species from S. warnstorfii.
Item Open Access Population Genomics of Bottlenose Dolphins (Tursiops truncatus) in the Northwest Atlantic(2021-04-30) Shintaku, NikkiBottlenose dolphins (Tursiops truncatus) are widely accepted as belonging to one of two ecotypes: offshore or inshore. These ecotypes exhibit remarkable differences in ecology, morphology, and genetic diversity. However, regional patterns of genetic differentiation and stock delineation remain poorly defined for both ecotypes. To improve our understanding of the population structures among these groups we investigated genome-wide genetic variation from 96 biopsy samples collected from bottlenose dolphins in inshore and offshore waters of the northwest Atlantic from North Carolina to Florida using restriction site associated DNA sequencing to infer population structure. Analysis of 14,783 single nucleotide polymorphisms revealed at least three genetically differentiated populations. Our results suggest an inshore population along North Carolina’s Outer Banks (n=32), an offshore population off the continental shelf break from North Carolina to Jacksonville, Florida (n= 38), and a shelf population off Jacksonville, Florida (n=26). Bayesian clustering showed significant admixture between the North Carolina and Jacksonville populations, providing potential evidence of historical or current gene flow. Most of the offshore samples were collected off Cape Hatteras, but this population also includes four individuals sampled beyond the continental shelf break off Jacksonville, FL, in close spatial proximity to shelf animals. This suggests a sharp distinction between shelf and offshore individuals structured by the shelf break itself. Such habitat heterogeneity is likely a driver in diversifying populations through influences on social behavior and foraging strategies. Our analyses provide fine-scale genetic resolution of bottlenose dolphin population differentiation in the Western North Atlantic. These results help inform conservation management and advance our understanding of processes that may drive the evolution of population genetic structure.