Gopher tortoise (Gopherus polyphemus) population sizes have drastically declined in the past 100 years. Much of this decline has been attributed to past human predation, to habitat loss from human development, and potentially to the recently discovered upper respiratory tract disease. An understanding of the genetic structure among populations is critical for the long-term success of relocation and other management strategies. This research focuses on the development of a suite of genetic markers and the answers they provided to questions concerning present day population genetics and its use in management. In addition, this study provides inference on historical refugia and dispersal patterns of the gopher tortoise through the Pleistocene. Nine microsatellite loci were identified, optimized, and characterized from a G. polyphemus microsatellite-enriched DNA library. These loci are applicable for population level analysis along with parentage analysis in all Gopherus species. In addition, a few of the loci also work in other Testudinies. Application of these markers to eighteen Florida and two Georgia populations of gopher tortoises reveal considerable amount of genetic diversity within the species and substantial genetic subdivision among populations, especially in the northern part of the Florida peninsula and southern Georgia. Admixture and genetic homogenization in central Florida may be attributed to past human mitigation events as much of this area has been substantially developed. These data indicate a more conservative approach to relocation is necessary if the goal is to maintain the genetic distinctiveness of these areas. Lastly, these genetic data, in conjunction with historical geological, climactic, and fossil records, were used to identify gopher tortoise refugia, and dispersal patterns during the Pleistocene. Within Florida, four major genetic assemblages were determined that correspond to four Pleistocene ridges that would have been present at high sea levels: Lake Wales Ridge, Brooksville Ridge, Southern Atlantic Coastal Ridge, and Mt. Dora Ridge. In addition, these data indicate that tortoises that dispersed into southeastern Florida after the fall in sea level were most closely related to tortoises from the Brooksville Ridge. Likewise, tortoises in northwestern Florida and southern Georgia were most closely related to tortoises from the Mt. Dora Ridge.

Androgen receptor (AR) gene CAG polymorphisms may be associated with body shape, and are associated with certain breast and prostate cancers. In addition, body shape is associated with risk for a variety of diseases, including heart disease, diabetes, and certain forms of cancer. The CAG repeat in exon l of the AR gene was quantified using Perkin Elmer Applied Biosystems GeneScan analysis software in 96 and 59 healthy Caucasian men and women, respectively, who were over the age of 50 years. All participants had body measurements taken and donated a blood sample. Waist measurements included circumferences at the 1) umbilicus (wstumb), 2) top of the iliac crest (wstili), and 3) midpoint between the lowest rib and the iliac crest (wstwst). Waist-hip ratio (Wl-IR) was calculated using each corresponding waist measurement, respectively (WHRUMB, WHRILI, WHRWST). Mean repeat length was significantly different (p < 0.01) between men (22 ± 0.3 repeats) and women (23 ± 0.3 repeats). There was a significant relationship (p < 0.05) between mean individual CAG repeat number and tertile of WHRUMB in women based on the mean number of CAG repeats for each woman. Waist measurements in women were significantly different for all pairwise comparisons (p < 0.05). In addition, the three measurements of WHR in women, WHRUMB, WHRILI, and WHRWST, were significantly different from each other (p < 0.05). Thus, lesser numbers of CAG repeats may indicate a more androgenic phenotype in women.

京都大学 / 0048 / 新制・課程博士 / 博士(医学) / 甲第20788号 / 医博第4288号 / 新制||医||1025(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 髙橋 良輔, 教授 高橋 淳, 教授 山下 潤 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM

Molecular and morphologic studies were used to determine the evolution, classification and differentiation of Nymphaea odorata. Molecular analyses of the nuclear internal transcribed spacer (ITS) region, the chloroplast trnL-F region, and inter-simple sequence repeat (ISSR) markers determined the variation present between and within two species of Nymphaea. The ITS region resulted in a phylogeny depicting strong separation between species (N. mexicana and N. odorata) and some separation between N. odorata's subspecies. The ITS region contained polymorphisms, which upon SAHN clustering and principle coordinate (PCOA) and minimum spanning tree (MST) analyses produced groups similar to the clades in the ITS phylogeny. Sixteen accessions were chosen for trnL-F analysis, where a subspecies-specific molecular marker was found. In most accessions the marker confirmed the original subspecies classification. Molecular analyses using ISSRs characterized among population variation in N. odorata and N. mexicana using five primers. ISSR markers among populations were highly variable within a species and were used in UPGMA, PCOA and MST analysis, which resulted in separation between the subspecies. Both univariate and multivariate analyses were performed on quantitative and qualitative morphological characters. An analysis of variance resulted in six morphological characteristics that were statistically significant (P< 0.05), the majority being leaf blade characteristics. Multivariate statistics of principle component analysis and discriminate analysis resulted in groups for each subspecies, both emphasized the importance of quantitative leaf blade characteristics. Overall, both morphology and molecular characteristics supported the classification of subspecies for ssp. odorata and ssp. tuberosa, due a lack of strong segregation of characteristics. / Master of Science

Krebs entsteht durch das Zusammenspiel von Keimbahn- und somatischen Mutationen sowie Umweltfaktoren. Für Fortschritte in Prävention, Früherkennung und Behandlung von Krebs ist es essenziell die phänotypischen Folgen dieser Mutationen und die Rolle von Umweltfaktoren bei der Steigerung des Krebsrisikos zu verstehen. In dieser Arbeit untersuche ich zunächst die Auswirkungen von Mutationen in einfachen Sequenzwiederholungsregionen (SSRs) auf das Zellwachstum in einem Hefemodell. In einem Mutationsakkumulationsexperiment in Stämmen mit defektem Mismatch-Reparatursystem zeige ich, dass die Störung von MutSβ zu einer erhöhten SSR-Mutationsrate führt, insbesondere bei SSR-Loci die länger als 8 bp sind. Meine Ergebnisse legen nahe, dass MutSβ hauptsächlich für die Reparatur an längeren Repeat-Loci verantwortlich ist. Schließlich zeige ich, dass SSR-Mutationen meist geringfügige, negative Auswirkungen auf das Zellwachstum haben. Als Nächstes untersuche ich die Auswirkungen von Zigarettenrauch auf das Transkriptom von zugänglichem Atemwegsgewebe am Beispiel des Nasenepithels von gesunden Freiwilligen und Patienten mit Verdacht auf oder diagnostiziertem Lungenkrebs. Ich stelle fest, dass Gene und biologische Funktionen, die durch das Rauchen beeinträchtigt werden, bei Patienten langsamer auf ein gesundes Ausgangsniveau zurückkehren. Zudem zeige ich, dass Patienten durch anhaltende, Rauch-assoziierte Immunveränderungen gekennzeichnet sind. Schließlich präsentiere ich einen innovativen Lungenkrebs-Klassifikator, der durch die Berücksichtigung der nasalen Genexpression von Rauch-assoziierten Genen eindeutig bessere Ergebnisse erzielt als ein Modell, das ausschließlich auf klinischen Informationen basiert. Damit belege ich das Potenzial der Genexpression des Nasenepithels zur Verbesserung der Risikostratifizierung auf Bevölkerungsebene anhand eines nicht-invasiven Tests. / Cancer is initiated and sustained by the interplay of germline and somatic mutations and environmental factors. Understanding the phenotypic consequences of mutations and the role of environmental factors in increasing cancer risk is key to improving cancer prevention, early detection, and treatment. In this thesis, I first take advantage of a yeast model to investigate the effects of mutations in simple sequence repeat regions (SSRs) on cell growth. I describe a mutation accumulation experiment conducted in strains with a deletion of the MutSβ gene, a component of the mismatch repair system (MMR). I show that abrogating MutSβ function leads to an increased SSR mutation rate, with a bias towards deletions. I also report a drastic increase in mutation rate in SSR loci longer that 8-bp, suggesting MutSβ is primarily responsible for repair at longer repeat loci. Finally, I show that many SSR mutations have small deleterious effects on cell growth. Next, I investigate the effects of cigarette smoke on the transcriptome of an accessible airway tissue, nasal epithelium, in a cohort of healthy volunteers and patients with suspected or diagnosed lung cancer. I find that smoke injury response is strikingly different in healthy individuals and clinic patients, with genes and biological functions affected by smoking showing a slower reversal to healthy baseline level in clinic patients. I find persistent smoking-associated immune alterations to be a hallmark of the clinic patients. Finally, I show that a lung cancer classifier including nasal expression of smoke-injury-associated genes performs better than a model based exclusively on clinical information, providing evidence for the potential of nasal epithelial gene expression to improve population-level risk stratification with the use of a non-invasive test.

This thesis describes the development and application of the new software MAXCOVER that computes maximal covers and non-extendible repeats (a.k.a. “maximal repeats”). A string is a finite array x[1..n] of elements chosen from a set of totally ordered symbols called an alphabet. A repeat is a substring that occurs at least twice in x. A repeat is left/right extendible if every occurrence is preceded/followed by the same symbol; otherwise, it is non-left/non-right extendible (NLE/NRE). A non-extendible (NE) repeat is both NLE and NRE. A repeat covers a position i if x[i] lies within the repeat. A maximal cover (a.k.a. “optimal cover”) is a repeat that covers the most positions in x. For simplicity, we first describe a quadratic O(n2) implementation of MAXCOVER to compute all maximal covers of a given string based on the pseudocode given in [1]. Then, we consider the logarithmic O(n log n) pseudocode in [1], in which we identify several errors. We leave a complete correction and implementation for future work. Instead, we propose two improved quadratic algorithms that, shown through experiments, will execute in linear time for the average case. We perform a benchmark evaluation of MAXCOVER’s performance and demonstrate its value to biologists in the protein context [2]. To do so, we develop an extension of MAXCOVER for the closely related task of computing NE repeats. Then, we compare MAXCOVER to the repeat-match feature of the well-known MUMmer software [3] (600+ citations). We determine that MAXCOVER is an order-of-magnitude faster than MUMmer with much lower space requirements. We also show that MAXCOVER produces a more compact, exact, and user-friendly output that specifies the repeats. Availability: Open source code, binaries, and test data are available on Github at https://github.com/hollykoponen/MAXCOVER. Currently runs on Linux, untested on other OS. / Thesis / Master of Science (MSc) / This thesis deals with a simple yet essential data structure called a string, a sequence of symbols drawn from an alphabet. For example, a DNA sequence is a string comprised of four letters. We describe a new software called MAXCOVER that identifies maximal covers of a given string x (a repeating substring that ‘covers’ the most positions in x). This software is based on the algorithms in [1]. We propose two new algorithms that perform faster in practice. We also extended MAXCOVER for the closely related task of computing non-extendible repeats. We compare this extension to the well-known MUMmer software (600+ citations). We find that MAXCOVER is many times faster than MUMmer with much lower space requirements and produces a more compact, exact and user-friendly output.

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No description available.

Cryptosporidium is a parasite that causes gastrointestinal issues such as diarrhoea and stomach pain. The main transmission routes are through contaminated water or food, between humans and from animal to humans. Cryptosporidium infects through oocysts which contain four sporozoites that releases when entering a host and can continue to breed inside the body. Cryptosporidium can cause massive outbreaks if established in a water source used for drinking water. To prevent and detect an outbreak it´s important to trace the transmission back to the source. The GP60-gene is used to identify and subtype Cryptosporidium and is a very useful tool during contact tracing. The purpose of this study was to identify species and subtype of Cryptosporidium using nanopore sequencing. In this study the GP60-gene was amplified using a Nested PCR protocol and then sequenced using nanopore sequencing. The sequences acquired where then used to make a search in BLAST to identify the species. The GP60 subtyping method uses the hypervariable region on the GP60-gene. A series of tandem repeats are used to identify the subtype. In this study seven positive Cryptosporidium faeces samples were amplified and sequenced. Nanopore sequencing was possible for five of the seven samples with C. parvum identified in four of these samples. Targeting the GP60-gene to determine species and subtype works well for the most common human pathogen species of Cryptosporidium. Further optimization is required before the method can be implemented för diagnostic use.

S'ha estudiat la variabilitat genètica de les poblacions del nord d'Àfrica a partir de l'anàlisi de diverses regions genòmiques per tal d'entendre les poblacions analitzades d'una banda, i comprendre la dinàmica del genoma per l'altra. Els resultats obtinguts ens han permès verificar diferents hipòtesis sobre la història de les poblacions d'aquesta regió com són l'efecte paral·lel i independent de l'onada de difusió del neolític des de l'Orient Mitjà al llarg d'ambdues ribes de la Mediterrànea; i l'efecte de l'arabització. S'ha pogut estimar també la contribució genètica masculina nord africana a la península ibèrica i detectat certa contribució genètica del pobles sub-saharians a les poblacions nordafricanes. Per altra banda, el tipatge de marcadors genètics que evolucionen a velocitats diferents al cromosoma Y ha permès mostrar que el background genètic predomina sobre el background poblacional en l'estructura de la variació genètica dels microsatèl·lits en la regió no recombinant del cromosoma Y humà. / The genetic variability of the North African populations has been studied through the analysis of different genomic regions in order to understand both the analysed populations and the dynamics of the genome. The obtained results allow us to verify different hypotheses about the population history of this region including the parallel and independent effect of the Neolithic wave of advance from the Middle East and along both Mediterranean coasts; and the effect of Arabization phenomena. We also tried to estimate the North African male genetic contribution to the Iberian peninsula and detected Sub-Saharian genetic influences to the North African peoples. Moreover, the typing of genetic markers with different evolutionary rates on the Y chromosome allowed us to demonstrate that variation in microsatellites is deeply structured by genetic background on the non-recombining region of the human Y chromosome.