Some 5 million people were classified as internally displaced in Colombia at the end of 2012, which represented about 10 per cent of the population and the highest number in the world at the time. Colombia differs from other countries with high levels of displacement in that it is comparatively politically stable, has effective national institutions, a relatively strong formal economy, and can by no means be described as a ‘failed’ or ‘failing’ state. The displacement literature tends to characterise the phenomenon as a humanitarian crisis and a side effect of the long-running civil war. But Colombians continue to be displaced in very large numbers despite the formal demobilization of the paramilitaries in 2006 and the diminished military capacity and engagement of the guerrillas since about the same period: the same groups that are widely regarded as being the main perpetrators of displacement. This thesis contends that displacement of the civilian population in Colombia is frequently not a consequence of violence, but rather the primary objective, where violence plays a facilitatory role. Moreover, the thesis asserts that these massive levels of displacement are substantively linked to predominantly economically-motivated logics and are regionally specific. By examining an agricultural commodity that has significantly expanded relatively recently in Colombia - African palm oil - this research examines if and how expanded cultivation may be linked to displacement. Using a political economy framework of analysis combined with empirical fieldwork, it explores the ‘localised displacement logics’ whereby land is coercively acquired by powerful local groups. The thesis concludes that the abandonment and dispossession of land from poor and marginalised groups constitutes part of an ongoing process of capitalist expansion and statebuilding in Colombia. Contrary to assertions that it is the intra-state conflict that constitutes the central obstacle to development, Colombia’s current trajectory of capitalist development may actually be a central obstacle to sustainable peace and not lead to an end to displacement.

This thesis proposes a collection of analytical and computational methods for inferring an underlying social structure of a given population, observed only via timestamped occurrences of its members across a range of locations. It shows that such data streams have a modular and temporally-focused structure, neither fully ordered nor completely random, with individuals appearing in "gathering events". By exploiting such structure, the thesis proposes an appropriate mapping of those spatio-temporal data streams to a social network, based on the co-occurrences of agents across gathering events, while capturing the uncertainty over social ties via the use of probability distributions. Given the extracted graphs mentioned above, an approach is proposed for studying their community organisation. The method considers communities as explanatory variables for the observed interactions, producing overlapping partitions and node membership scores to groups. The aforementioned models are motivated by a large ongoing experiment at Wytham woods, Oxford, where a population of Parus major wild birds is tagged with RFID devices and a grid of feeding locations generates thousands of spatio-temporal records each year. The methods proposed are applied on such data set to demonstrate how they can be used to explore wild bird sociality, reveal its internal organisation across a variety of different scales and provide insights into important biological processes relating to mating pair formation.

Covalent modifications of histone tails play essential roles in mediating chromatin structure and epigenetic regulation. JmjD3 is a JumonjiC domain containing histone demethylase, belongs to the KDM6 subfamily, and catalyses the removal of methyl groups on methylated lysine 27 on histone 3 (H3K27), a critical mark to promote polycomb mediated repression and gene silencing. The importance of JmjD3 has been implicated in development, cancer biology and immunology. In this thesis, I report the recombinant production of active human JmjD3, development of two in vitro screening assays, a cell-based assay, and structural determination of JmjD3 in complex with the inhibitor 8-hydroxy-5-carboxyquinoline (8HQ). A highly selective and potent small molecule inhibitor GSK-J1 was subsequently identified. The inhibitor is active in HeLa cells and promotes a dose-dependent increase of global H3K27 methylation. The inhibitor GSK-J1 was used in two different cell assay systems related to inflammation and differentiation, to understand how H3K27 demethylation controls cellular functions. By inhibiting H3K27me3 demethylation, it is demonstrated that tumor necrosis factor (TNF) and other pro-inflammatory cytokines are regulated by H3K27 demethylase inhibition in M1- type macrophages derived from healthy volunteers and rheumatoid arthritis patients. It is also shown that inhibition of H3K27me3 demethylation abrogates cellular fusion of M2- type macrophages. During RANKL induced osteoclast differentiation, JmjD3 is up-regulated and promotes the expression of the key transcription factor NFATc1. By inhibiting JmjD3, NFATc1 expression is reduced and osteoclastogenesis is inhibited. This mechanism demonstrates a novel anti-resorptive principle of potential utility in conditions of excess bone resorption such as osteoporosis, bone erosion in inflammatory arthritis or cancer of the bone. These experiments further resolve the ambiguity between scaffold and catalytic function associ- ated with the H3K27 demethylase in these biological systems, and demonstrate that its enzymatic activity is crucial for epigenetic regulation of macrophage and osteoclast function.

An individual's Human Leukocyte Antigen (HLA) type is an essential immunogenetic parameter, influencing susceptibility to a variety of autoimmune and infectious diseases, to certain types of cancer and the likelihood of adverse drug reactions. I present and evaluate two models for the accurate statistical determination of HLA types for single-population and multi-population studies, based on SNP genotypes. Importantly, SNP genotypes are already available for many studies, so that the application of the statistical methods presented here does not incur any extra cost besides computing time. HLA*IMP:01 is based on a parallelized and modified version of LDMhc (Leslie et al., 2008), enabling the processing of large reference panels and improving call rates. In a homogeneous single-population imputation scenario on a mainly British dataset, it achieves accuracies (posterior predictive values) and call rates >=88% at all classical HLA loci (HLA-A, HLA-B, HLA-C, HLA-DQA1, HLA-DQB1, HLA-DRB1) at 4-digit HLA type resolution. HLA*IMP:02 is specifically designed to deal with multi-population heterogeneous reference panels and based on a new algorithm to construct haplotype graph models that takes into account haplotype estimate uncertainty, allows for missing data and enables the inclusion of prior knowledge on linkage disequilibrium. It works as well as HLA*IMP:01 on homogeneous panels and substantially outperforms it in more heterogeneous scenarios. In a cross-European validation experiment, even without setting a call threshold, HLA*IMP:02 achieves an average accuracy of 96% at 4-digit resolution (>=91% for all loci, which is achieved at HLA-DRB1). HLA*IMP:02 can accurately predict structural variation (DRB paralogs), can (to an extent) detect errors in the reference panel and is highly tolerant of missing data. I demonstrate that a good match between imputation and reference panels in terms of principal components and reference panel size are essential determinants of high imputation accuracy under HLA*IMP:02.

The development of safe and efficient gene delivery systems in pluripotent human embryonic stem cells (hESc) is essential to realising their full potential for basic and clinical research. The purpose of this study was to develop an efficient, non-integrating gene expression system in pluripotent hESc using human artificial chromosomes (HAC). Similar to endogenous chromosomes, HAC are capable of gene expression, replication and segregation during cell division. Unlike retroviral-mediated gene delivery vectors, HAC do not integrate into the host genome and can encompass large genomic regions for the delivery of multiple genes. Despite the advantages HAC offer, their use has been limited due to laborious cloning procedures and poor transfection efficiencies, and thus only studied in immortalised and tumour-derived human cell lines. In this study, the high transduction efficiency of herpes simplex virus type-1 (HSV-1) amplicons was utilised to overcome the described difficulties and delivered HAC vectors into pluripotent hESc. Analysis of stable hESc clones showed that de novo gene-expressing HAC were present at high frequencies ranging from 10-70% of metaphases analysed, without integrating into the genome. The established HAC contained an active centromere, and were stably maintained without integration or loss in the absence of selection for 90 days. Stable HAC-containing hESc clones retained their pluripotency as demonstrated by neuronal differentiation, in vitro germ layer and teratoma formation assays. HAC gene expression persisted, with some variation, post-differentiation in the various deriving cell types. This is the first report of successful de novo HAC formation in hESc for gene expression studies. These findings show potential for delivering high-capacity genomic constructs safely and efficiently into pluripotent cells for the purpose of genetic manipulation and ultimately patient-specific somatic gene therapy.

The past five years has seen the discovery of a wealth of genetics variants associated with an incredible range of diseases and traits that have been identified in genome- wide association studies (GWAS). These GWAS have typically been performed in in- dividuals of European descent, prompting a call for such studies to be conducted over a more diverse range of populations. These include groups such as African Ameri- cans and Latinos as they are recognised as bearing a disproportionately large burden of disease in the U.S. population. The variation in ancestry among such groups must be correctly accounted for in association studies to avoid spurious hits arising due to differences in ancestry between cases and controls. Such ancestral variation is not all problematic as it may also be exploited to uncover loci associated with disease in an approach known as admixture mapping, or to estimate recombination rates in admixed individuals. Many models have been proposed to infer genetic ancestry and they differ in their accuracy, the type of data they employ, their computational efficiency, and whether or not they can handle multi-way admixture. Despite the number of existing models, there is an unfulfilled requirement for a model that performs well even when the ancestral populations are closely related, is extendible to multi-way admixture scenarios, and can handle whole- genome data while remaining computationally efficient. In this thesis we present a novel method of ancestry estimation named MULTIMIX that satisfies these criteria. The underlying model we propose uses a multivariate nor- mal to approximate the distribution of a haplotype at a window of contiguous SNPs given the ancestral origin of that part of the genome. The observed allele types and the ancestry states that we aim to infer are incorporated in to a hidden Markov model to capture the correlations in ancestry that we expect to exist between neighbouring sites. We show via simulation studies that its performance on two-way and three-way admixture is competitive with state-of-the-art methods, and apply it to several real admixed samples of the International HapMap Project and the 1000 Genomes Project.

Hypoxia-inducible factor (HIF) is the master regulator of genes involved in adaptation to hypoxia. The stability and transcriptional activity of HIF are regulated by post-translational hydroxylations: prolyl hydroxylation by the prolyl hydroxylase domain-containing enzymes PHD1 – 3 earmarks HIF for proteasomal degradation, whilst asparaginyl hydroxylation by factor inhibiting HIF (FIH) blocks the interaction of HIF with the transcriptional coactivators p300/CBP. The PHDs and FIH hydroxylate HIF directly from molecular oxygen and are therefore oxygen sensors. Recent literature shows that FIH also hydroxylates a number of proteins containing an ankyrin-repeat domain (ARD). Together with reports suggesting that the PHDs are involved in HIF-independent pathways, this suggests that the HIF hydroxylases may have a wide range of non-HIF targets. This thesis describes my investigations into novel substrates of the HIF hydroxylases. This work has characterized the FIH-dependent hydroxylation of the ARD-containing protein Notch1, and defined a consensus sequence for hydroxylation that corresponds to the ankyrin-repeat consensus. Using this consensus potential sites of hydroxylation in a novel ARD FIH substrate, myosin phosphatase targeting subunit 1 (MYPT1), were identified then subsequently confirmed and characterized. Notch1 competes with HIF for FIH hydroxylation. My experiments show that this occurs because Notch1 is a more efficient substrate than HIF, whilst studies on MYPT1 and other proteins indicate that competitive inhibition of FIH may be a general property of ARDs. There are more than 300 ARD proteins in the human genome, and this thesis demonstrates that FIH may hydroxylate a significant percentage of these. In addition to the analysis of ARD hydroxylation a proteomic investigation into novel PHD3 substrates has identified two candidate proteins, suggesting that the PHDs may also have multiple targets. These results have important implications for oxygen sensing, and indicate that post-translational hydroxylation is likely to be a widespread modification in cell biology.

Failure to process prelamin A, by the enzyme ZMPSTE24, leads to the build up of farnesylated prelamin A, which has been implicated in causing the symptoms experienced in laminopathies and HIV therapy. A common feature to these conditions is the development of an irregular nuclear boundary, often including deep invaginations that form a nucleoplasmic reticulum. Additionally, dysregulated lipid synthesis is frequently associated with improper lamin A processing and I set out to address the molecular mechanisms behind these two features that could explain lipoatrophy experienced in patients. By using siRNA targeted against Zmpste24 I utilised an array of biochemical, molecular and imaging techniques to uncover a mechanism that leads to the production of a nucleoplasmic reticulum that was dependent on both the farnesylated tail of prelamin A and the phosphatidylcholine synthesising enzyme CCTα. The morphology of this structure consisted of an invagination of both the inner and outer nuclear membranes with a cytoplasmic core or just invagination of the inner nuclear membrane. Serial section dual axis electron tomography provided a new insight into the ultrastructural changes at the nuclear periphery that revealed novel structural features. The dysregulation of lipid synthesis was assessed by investigating the effects farnesylated prelamin A has on the distribution and dynamics of the transcription factor SREBP-1 and assessment of the downstream consequences this has on its targets that regulate adipocyte differentiation potential. Finally, the metabolomic profile of an HIV protease inhibitor that leads to prelamin A build up was generated and revealed increases in lipolysis, glycolysis and mediators of inflammation. The research presented offers a new insight into the development of a convoluted nuclear boundary and nucleoplasmic reticulum, in the context of lamin A mutants and how dysregulated lipid synthesis, caused by farnesylated prelamin A, leads to lipoatrophy.

Topoisomerase 2α (Topo2α) is an essential protein with DNA decatenating enzymatic properties, indispensable for chromosome decatenation and segregation. It is a target for a plethora of antitumour drugs and Topo2α protein levels have been associated with the success of treatment, but also drug resistance and secondary malignancies. Although unique in its ability to resolve catenated chromosomes, the role of Topo2α in other steps of DNA metabolism, such as DNA replication elongation and termination have been elusive. A thorough understanding of the role of Topo2α in the cell will not only allow for increased insight into the mechanisms it is involved in, but it will also shed light on proteins and pathways that can act as back-up in its absence, and therefore hopefully expand the basis on which to improve treatment options. Through a synthetic lethal interaction (SLI) screen with an siRNA library targeting 200 DNA repair and signalling genes, Topo2α emerged as being synthetic lethal to Werner protein (WRN), a RecQ helicase involved in maintaining genome integrity mainly in S phase, and the loss of which leads to Werner Syndrome (WS), a segmental progeroid syndrome. The screen was performed in WRN deficient cells, with the initial aim to find proteins that act to buffer against loss of viability, which is the central idea in the concept of synthetic lethality in the absence of WRN. The screen revealed an SLI between WRN and Topo2α and although we were unable to fully validate this, it spurred the question of Topo2α’s role in DNA replication. The findings in this thesis suggest that Topo2α is not required for DNA elongation and timely completion of S phase, and that simultaneous loss of the closely related isoform Topo2β does not affect replication, suggesting that these proteins do not act in parallel back-up pathways during replication. Interestingly, cells accumulate in the polyploid fraction after both depletion and inhibition of Topo2α, albeit with different kinetics. The mechanistic basis of this phenotype remains to be understood through further research, but it is highly interesting as aneuplidity and polyploidy are implicated in the initial stages of tumour development.

Small Island Developing States (SIDS) of the Caribbean are one of the world’s ‘hottest’ ‘biodiversity hotspots’. However, this biodiversity continues to be threatened by habitat loss, and now, by climate change. The research reported here investigated the potential of species distribution modelling (SDM) as a plant conservation tool within Caribbean SIDS, using Trinidad as a case study. Prior to the application of SDM, ancillary analyses including: (i) quantification and mapping of forest cover change (1969 to 2007) and deforestation rates, and (ii) assessment of the island’s vegetation community distribution and associated drivers were carried out. Community distribution and commercial importance and global/regional rarity were used to generate a list of species for assessing the potential of SDM within Trinidad. Species occurrence data were used to generate species distribution models for present climate conditions within the SDM algorithm, MaxEnt. These results were assessed through expert appraisal and concurrence with results of ecological analyses. These models were used to forecast suitable species climate space forty years into an SRES A2 future. Present and future models were then combined to produce a ‘collective change map’ which showed projected areas of species’ range expansion, contraction or stability for this group of species with respect to Trinidad’s Protected Areas (PAs) network. Despite the models being indicative rather than accurate, it was concluded that species’ climate space is likely to decrease or disappear across Trinidad. Extended beyond Trinidad into the remainder of the Caribbean region, SDM may be a crucial tool in identifying which PAs within the region (and not individual islands) will facilitate future survival of given target species. Consideration of species conservation from a regional, rather than an individual island perspective, is strongly recommended for aiding the Caribbean SIDS to adapt in response to climate change.