Chromosomal structure variations (SV) including insertions, deletions, inversions, and translocations occur within the genome and can have a significant effect on organismalphenotype. Some of these effects are caused by structural variations containing genes. Modern sequencing using short reads makes the detection of large structural variations (> 1kb) very difficult. Large structural variations represent a significant amount of the genetic diversity within a population. We used a global sampling of Drosophila melanogaster (Ithaca, Zimbabwe, Beijing, Tasmania, and Netherlands) to represent diverse populations. We used long-read sequencing and optical mapping technologies to identify SVs in these genomes. Because the average read length used for these approaches are much longer than traditional short read sequencing, these maps facilitate the identification of chromosomal SVs of greater size and with more clarity. We found a wide diversity of structural variations in each of the five strains. These structural variations varied greatly in size and location, and significantly affected exonic regions of the genome. Structural variations accounted for a much larger difference in number of base pairs between strains than single nucleotide polymorphisms (SNPs).

京都大学 / 新制・課程博士 / 博士(医学) / 甲第24841号 / 医博第5009号 / 新制||医||1068(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 朝長, 啓造, 教授 波多野, 悦朗, 教授 竹内, 理 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM

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The process of evolution is of both scientific and medical interest. This thesis presents several studies using complete genomic reference sequences, comparative genomic data, and intraspecific diversity data to study the two key processes of evolution: mutation and selection. Large duplications, deletions, inversions, and translocations of DNA contribute to genomic variation both between and within species. Human chromosomes 15 and 17 contain a high percentage of dispersed, recently duplicated sequences. Examination of the relationships between these sequences showed that the majority of all duplications within each chromosome could be linked through core sequences that are prone to duplication. Comparison to orthologous sequences in other mammals allowed a reconstruction of the ancestral state of the human chromosomes, revealing that regions of rearrangement specific to the human lineage are highly enriched in chromosome-specific duplications. Comparison to copy number variation data from other studies also shows that these regions are enriched in current human structural variation. One specific region, the MAPT locus at 17q21.31, known to contain an inversion polymorphism in Europeans, was resequenced completely across both human orientation haplotypes and in chimpanzee and orangutan, revealing complex duplication structures at the inversion breakpoints, with the human region being more complex than chimpanzee or orangutan. Fluorescent in-situ hybridization analysis of human, chimpanzee, and orangutan chromosomes showed inversion polymorphisms of independent origin in all three species, demonstrating that this region has been a hotspot of genomic rearrangement for at least twelve million years. These results reveal a mechanistic relationship between sequence duplication and rearrangement in the great apes. We also generated a draft sequence of the chimpanzee genome and compared it to that of the human. Among other findings, this showed that CpG dinucleotides contribute 25% of all single base mutations, with a rate of mutation ~10-fold that of other bases, and that the male mutation rate in great apes is ~5-6 times the female rate, a higher ratio than had been observed in comparisons of primates and rodents. We detected six regions of probable recent positive selection in humans with a statistical method relying on chimpanzee sequence to control for regional variation in mutation rates. Finally, resequencing of several lines of domestic chicken and comparison to the reference chicken genome identified a number of gene deletions fixed in domestic lines and also several potential selective sweeps. Of particular interest are a missense mutation in TSHR nearly fixed in all domestic chickens and a partial deletion of SH3RF2 fixed in a high growth line. The TSHR mutation may play a role in relaxation of seasonal reproduction. A high-resolution QTL mapping experiment showed that the SH3RF2 deletion is significantly associated with increased growth. This work provides important new insights into the mechanics of evolutionary change at both the single nucleotide and structural level and identifies potential targets of natural and artificial selection in humans and chickens.

Domestic animals have rich phenotypic diversity that can be explored to advance our understanding of the relationship between molecular genetics and phenotypic variation. Since the advent of second generation sequencing, it has become easier to identify structural variants and associate them with phenotypic outcomes. This thesis details studies on three such variants associated with monogenic traits. The first studies on Rose-comb in the chicken were published over a century ago, seminally describing Mendelian inheritance and epistatic interaction in animals. Homozygosity for the otherwise dominant Rose-comb allele was later associated with reduced rooster fertility. We show that a 7.38 Mb inversion is causal for Rose-comb, and that two alleles exist for Rose-comb, R1 and R2. A novel genomic context for the gene MNR2 is causative for the comb phenotype, and the bisection of the gene CCDC108 is associated with fertility issues. The recombined R2 allele has intact CCDC108, and normal fertility. The dominant phenotype Greying with Age in horses was previously associated with an intronic duplication in STX17. By utilising second generation sequencing we have examined the genomic region surrounding the duplication in detail, and excluded all other discovered variants as causative for Grey. Dun is the ancestral coat colour of equids, where the individual is mostly pale in colour, but carries intensely pigmented primitive markings, most notably a dorsal stripe. Dun is a dominant trait, and yet most domestic horses are non-dun in colour and intensely pigmented. We show that Dun colour is established by radially asymmetric expression of the transcription factor TBX3 in hair follicles. This results in a microscopic spotting phenotype on the level of the individual hair, giving the impression of pigment dilution. Non-dun colour is caused by two different alleles, non-dun1 and non-dun2, both of which disrupt the TBX3-mediated regulation of pigmentation. Non-dun1 is associated with a SNP variant 5 kb downstream of TBX3, and non-dun2 with a 1.6 kb deletion that overlaps the non-dun1 SNP. Homozygotes for non-dun2 show a more intensely pigmented appearance than horses with one or two non-dun1 alleles. We have also shown by genotyping of ancient DNA that non-dun1 predates domestication.

Cancer development is driven by somatic genome alterations, ranging from single point mutations to larger structural variants (SV) affecting kilobases to megabases of one or more chromosomes. Studies of somatic rearrangement have previously been limited by a paucity of whole genome sequencing data, and a lack of methods for comprehensive structural classification and downstream analysis. The ICGC project on the Pan-Cancer Analysis of Whole Genomes provides an unprecedented opportunity to analyse somatic SVs at base-pair resolution in more than 2500 samples from 30 common cancer types. In this thesis, I build on a recently developed SV classification pipeline to present a census of rearrangement across the pan-cancer cohort, including chromoplexy, replicative two-jumps, and templated insertions connecting as many as eight distant loci. By identifying the precise structure of individual breakpoint junctions and separating out complex clusters, the classification scheme empowers detailed exploration of all simple SV properties and signatures. After illustrating the various SV classes and their frequency across cancer types and samples, Chapter 2 focuses on structural properties including event size and breakpoint homology. Then, in Chapter 3, I consider the SV distribution across the genome, and show patterns of association with various genome properties. Upon examination of rearrangement hotspot loci, I describe tissue-specific fragile site deletion patterns, and a variety of SV profiles around known cancer genes, including recurrent templated insertion cycles affecting TERT and RB1. Turning to co-occurring alteration patterns, Chapter 4 introduces the Hierarchical Dirichlet Process as a non-parametric Bayesian model of mutational signatures. After developing methods for consensus signature extraction, I detour to the domain of single nucleotide variants to test the HDP method on real and simulated data, and to illustrate its utility for simultaneous signature discovery and matching. Finally, I return to the PCAWG SV dataset, and extract SV signatures delineated by structural class, size, and replication timing. In Chapter 5, I move on to the complex SV clusters (largely set aside throughout Chapters 2—4) , and develop an improved breakpoint clustering method to subdivide the complex rearrangement landscape. I propose a raft of summary metrics for groups of five or more breakpoint junctions, and explore their utility for preliminary classification of chromothripsis and other complex phenomena. This comprehensive study of somatic genome rearrangement provides detailed insight into SV patterns and properties across event classes, genome regions, samples, and cancer types. To extrapolate from the progress made in this thesis, Chapter 6 suggests future strategies for addressing unanswered questions about complex SV mechanisms, annotation of functional consequences, and selection analysis to discover novel drivers of the cancer phenotype.

The systematic investigation of the x-ray diffraction symmetry of scapolites covering the whole range of solid solution show that all scapolites possess space group P4(2)/n, except the pure end-members, marialite and meionite, which will possess space group I4/m, if they exist. The intensity of the weak superlattice reflections violating the body-centred symmetry, continuously increases from zero at the marialite end-member as Me% increases, reaches a maximum around 37%+/-2% Me then approximately symmetrically decreases to 75% Me followed by a slower decrease to zero at the meionite end-member. Hence, all the intermediate scapolites of the marialite-meionite series actually have a pseudosymmetric structure, i. e., a pseudobody-centred structure, and as the chemical composition approaches both end-members, the scapolite structure approaches the structure with a body-centred lattice. The weak super-lattice reflections are directly related to the following two correlated factors: (1) the relative order-disorder of A1 and Si distribution in the tetrahedral framework, and (2) the structural distortion from the body-centred symmetry. Accompanied with the above facts is the systematic deviation of cell dimensions from the linear regression in such a way that the further the structure deviates from the body-centred symmetry, the smaller the cell volume and the a(o) become relative to the evaluated one from the linear regression. Scapolites are regarded as a continuous, perfect solid solution with a long-range disordering, and unlikely to be composed of submicroscopic twins or different domains. The structural analyses and refinements of three scapolites (ON8, 20% Me; XL, 52% Me; ON45, 93% Me) have been carried out by using 3-dimensional intensity data collected by integrated precession film techniques (ON8, ON45) and an automated single-crystal diffractometer (XL), and using the full-matrix least0squares method. The result has clarified the ambiguities arising from the previous studies and showed that the crystal structure is essentially continuous along the marialite-meionite series, with a slight structural variation as a function of chemical composition and ordering of Al, Si. Several important quantitative relationships regarding the crystal structure and crystal chemistry of the scapolite solid solution series have been established, namely, (1) the relationship between the superlattice intensity r(ΣI(h+k+l=2n+1)/ΣI(h+k+l=2n)) and the chemical index % Me. (2) the exponential relationship between the superlattice intensity ration r and the atomic displacement from the mirror plane consistent with the space group I4/m. (3) The linear relationship between the superlattice intensity ratio r and the difference of Al occupancy between T2 and T3 sites. (4) The Al occupancy (%) of tetrahedral sites as a function of the chemical composition of scapolites. The ordering of Al-Si, the c-axis displacement of (Ca, Na), the tilting of CO3 and the relative amount of CO3 and Cl in the same scapolite are all inter-related. The mechanism to cause all such related structural phenomena and even the abnormal stoichiometry of scapolite can all be interpreted in terms of the internal strain created by the two greatly different anions, Cl- and CO3-,sharing the same set of equivalent sites. / Thesis / Doctor of Philosophy (PhD)

No description available.

A neoplasia endócrina múltipla tipo 1 (NEM1) é uma doença genética, de herança autossômica dominante, caracterizada pelo desenvolvimento de tumores endócrinos acometendo, principalmente, hipófise, paratireoide e pâncreas/duodeno endócrinos. É causada, principalmente, por mutação germinativa no gene supressor tumoral MEN1 (11q13). A tumorigênese segue o modelo de Knudson (1971). O diagnóstico genético de famílias com NEM1 reconhece os portadores assintomáticos de mutação MEN1, permite o diagnóstico e tratamento precoce de tumores, promove a redução da morbimortalidade relacionada à NEM1 e exclui familiares não portadores de mutação do rastreamento clínico periódico. O diagnóstico genético de NEM1 tem sido realizado por meio da técnica de sequenciamento Sanger. Entretanto, limitações desta técnica a tornam menos custo efetiva, devido a sua reduzida capacidade de geração de dados, que leva a necessidade de obtenção de produtos de PCR de até 700 pb para adequada leitura do sequenciamento. Além disto, condições específicas do gene MEN1, como a ausência de \"hot spots\" mutacionais, levam a necessidade de sequenciamento de toda sua extensão (7Kb) e contribuem para tornar esta técnica laboriosa e dispendiosa. A subdivisão do gene para sequenciamento Sanger pode ocultar informações, principalmente de regiões intrônicas, que podem ser importantes para o desenvolvimento da doença. Tais dificuldades impedem a incorporação do diagnóstico gênico de NEM1 na prática clínica. Desde 2005, estão disponíveis tecnologias denominadas NGS (Next- Generation Sequencing), que consistem em ferramentas para o sequenciamento genético com capacidade aumentada de geração de dados, tornando-as mais atrativas e de melhor custo-benefício. O NGS confere, ainda, maior velocidade ao processo de obtenção de dados e detém a capacidade de realizar a leitura completa do gene, incluindo regiões promotoras e intrônicas. Por isto, torna a leitura mais ampla e informativa, sem desconsiderar aspectos qualitativos. Dentre várias opções de NGS disponíveis, plataformas leves são consideradas mais adequadas para aplicação clínica, destacando-se as plataformas Ion PGM e Illumina MiSeq. Uma forte tendência tem sido mostrada de migração do sequenciamento Sanger para o NGS, incluindo a aplicação da mesma em diagnóstico genético de doenças complexas e de câncer hereditário. Entretanto, não há estudos prévios envolvendo NGS em NEM1. Diante disto, foi avaliado a qualidade desta técnica como método de diagnóstico genético em NEM1 em comparação ao sequenciamento Sanger. Objetivos: validação da técnica de NGS utilizando como parâmetro o sequenciamento Sanger; avaliação da sensibilidade, especificidade e relação custo-benefício do NGS. Para tal, foram analisados 76 casos-índices com diagnóstico clínico de NEM1 na plataforma Illumina MiSeq. As análises foram subdivididas em duas fases. O enriquecimento da região genômica do gene MEN1 foi realizado por meio de PCR longa. Com base nos dados obtidos foi possível aferir 96% de reprodutibilidade entre as diferentes fases do estudo e aproximadamente 99% de precisão para detecção de variantes. Exatidão, sensibilidade e especificidade resultaram em 100%. Não houve falsos-positivos ou negativos. A técnica de NGS também se mostrou mais custo-efetiva do que o sequenciamento Sanger. Este estudo permitiu validar e introduzir esta técnica como ferramenta de diagnóstico gênico de NEM1 para rastreamento genético de casos-índices / The multiple endocrine neoplasia type 1 (MEN1) is a genetic, autossomic and dominant disease and is correlated with the development of endocrine tumors affecting pituitary gland, parathyroid, endocrine pancreas or duodenum. It is mainly caused by a germinative mutation in tumor suppressor gene MEN1 (11q13). The tumorigenesis follow the Knudson\'s model (1971). Genetic diagnosis of families with MEN1 is essential to recognizes asymptomatic mutation carriers, and allows an earlier detection and treatment of tumors leading to a reduction of mortality and morbidity associated to MEN1. Furthermore, it can exclude family members that do not carry mutations from the periodical screening. The genetic diagnosis for MEN1 is held using Sanger sequencing. However, limitations of this technique make it less cost-effective, mostly, the less capacity of data generation that leads to the need of PCR products up to 700 bp to obtain a suitable read. Moreover, specific conditions of the MEN1 gene contributes to make this process more laborious and expensive, like the need to read all gene sequence (7kb) to make a correct analysis due to the absence of \"hot spots\". This way, the need of \"fragmentation\" to allow the sequencing can hide important information to disease development, mostly in introns. These limitations preclude the clinical application of genetic diagnosis of MEN1. Since 2005, new technologies are available; they are called Next Generation Sequencing (NGS) and consist in a new tool that allow the same sequencing, but with a larger data generation capacity, making them more attractive and costeffective. The NGS also gives a higher speed to the process of data acquiring and allows the complete read of gene, including promoters and introns. Therefore, it makes the results more informative, not forgetting quality aspects. Among lot of options of NGS available, lighter platforms are recommended, for example, Ion PGM and Illumina MiSeq. A strong tendency has been shown in order to change the Sanger sequencing to NGS, including clinical application to genetic diagnosis of complex diseases and inherited cancer. However, there is not previous studies evaluating NGS to MEN1 genetic diagnosis. Thus, present study evaluated NGS as a genetic diagnosis method for MEN1, comparing with Sanger sequencing. This study aimed to validate the NGS method using as model the Sanger sequencing and evaluated sensibility, specificity and costeffectiveness of NGS. For this purpose, 76 index-cases with clinical MEN1 diagnosis were analyzed on Illumina MiSeq. Analyzes were divided in two phases. After analyzes, 96% of reproducibility and 99% of precision were calculated. Accuracy, sensibility and specificity were resulted in 100%. There were not falses negatives or positives. NGS showed more cost-effectiveness with lower costs. This study allowed validation of genetic screening of MEN1 indexcases applying NGS platform

The study of variation found in DNA is fundamental in human genetic studies. Single nucleotide polymorphisms (SNPs) are simple to document because they can be captured in single DNA sequence reads. Larger structural variation including duplications, insertions, deletions, termed as copy number variation (CNV), inversions and translocations are more challenging to discover. Recent studies using microarray and sequencing technologies have demonstrated the prevalence of structural variation in humans. They can disrupt genic and regulatory sequences, be associated with disease, and fuel evolution. Therefore, it is important to identify and characterize both SNPs and structural variants to fully understand their impact. This thesis presents the analysis of structural variation in the human genome. The primary DNA sample used for my experiments is the DNA of J. Craig Venter, also termed HuRef. It was the first personal human genome sequenced. I combined computational re-analysis of sequence data with microarray-based analysis, and detected 12,178 structural variants covering 40.6 Mb that were not reported in the initial sequencing study. The results indicated that the genomes of two individuals differed 1.3% by CNV, 0.3% by inversion and 0.1% by SNP. Structural variation discovery is dependent on the strategy used. No single approach can readily capture all types of variation, and a combination of strategies is required. I analyzed the formation mechanisms of all HuRef structural variants. The results showed that the relative proportion of mutational processes changed across size range: the majority of small variants (<1kb) were associated with nonhomologous processes and microsatellite events; median size variants (<10kb) were commonly related to minisatellites and retrotransposons; and large variants were associated with nonallelic homologous recombination. Eight new breakpoint-resolved HuRef inversions were genotyped in populations to elucidate these understudied variants. I discovered that the structures of inversion could be complex, could create conjoined genes, and their frequencies could exhibit population differentiation. The data here contributes to our understanding of structural variation in humans. It shows the need to use multiple strategies to identify variants, and it emphasizes the importance to examine the full complement of variation in all biomedical studies.