Elementos de regulação e microRNAs envolvidos na modulação dos níveis de hemoglobina fetal em indivíduos portadores de beta-hemoglobinopatias

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Financiamento de parques tecnológicos: um estudo comparativo de casos brasileiros, portugueses e espanhóis

O mercado globalizado e de competição intensiva, no qual países e empresas estão inseridos, demanda uma busca constante por inovação. Entre os habitats de estímulo à inovação com diversas iniciativas pelo mundo, e também no Brasil, estão os chamados parques tecnológicos. Um dos grandes desafios para a implantação e a operacionalização desses empreendimentos é a obtenção de recursos. Surge, então, a questão: quais os mecanismos de financiamento de que a organização gestora de um parque tecnológico dispõe para realizar as fases de planejamento, implantação e operacionalização dos elementos constitutivos e serviços oferecidos por esse tipo de empreendimento? O objetivo neste trabalho é levantar e comparar os mecanismos de financiamento utilizados nas etapas citadas dos empreendimentos: Tecnopuc, Polo de Informática de São Leopoldo e Sapiens Parque, instalados no Brasil; Biocant Park e Taguspark, instalados em Portugal; Parque Tecnológico de Cartuja 93, Parque Tecnológico de Andalucia, Parque Científico de Barcelona, Parque Tecnológico de Bizkaia e Parque Tecnológico de Álava, instalados na Espanha. O que se pode observar em todos os casos estudados é que, mesmo apresentando organizações gestoras, atores e estruturas diferenciadas, o financiamento das fases de implantação não se deu somente por meio de recursos públicos ou privados, mas também por meio de parcerias. Além disso, verificou-se que as diferenças encontradas nos modelos de financiamento podem ser atribuídas, principalmente, a cinco fatores: participantes da organização gestora; modelo jurídico da organização gestora; elementos constitutivos de propriedade da organização gestora; atração de infraestruturas tecnológicas e empresas âncoras; disponibilidade de fundos públicos de fomento ao desenvolvimento tecnológico e econômico.

Design and implementation of bioinformatics tools for large scale genome annotation

The continuous increase of genome sequencing projects produced a huge amount of data in the last 10 years: currently more than 600 prokaryotic and 80 eukaryotic genomes are fully sequenced and publically available. However the sole sequencing process of a genome is able to determine just raw nucleotide sequences. This is only the first step of the genome annotation process that will deal with the issue of assigning biological information to each sequence. The annotation process is done at each different level of the biological information processing mechanism, from DNA to protein, and cannot be accomplished only by in vitro analysis procedures resulting extremely expensive and time consuming when applied at a this large scale level. Thus, in silico methods need to be used to accomplish the task. The aim of this work was the implementation of predictive computational methods to allow a fast, reliable, and automated annotation of genomes and proteins starting from aminoacidic sequences. The first part of the work was focused on the implementation of a new machine learning based method for the prediction of the subcellular localization of soluble eukaryotic proteins. The method is called BaCelLo, and was developed in 2006. The main peculiarity of the method is to be independent from biases present in the training dataset, which causes the over‐prediction of the most represented examples in all the other available predictors developed so far. This important result was achieved by a modification, made by myself, to the standard Support Vector Machine (SVM) algorithm with the creation of the so called Balanced SVM. BaCelLo is able to predict the most important subcellular localizations in eukaryotic cells and three, kingdom‐specific, predictors were implemented. In two extensive comparisons, carried out in 2006 and 2008, BaCelLo reported to outperform all the currently available state‐of‐the‐art methods for this prediction task. BaCelLo was subsequently used to completely annotate 5 eukaryotic genomes, by integrating it in a pipeline of predictors developed at the Bologna Biocomputing group by Dr. Pier Luigi Martelli and Dr. Piero Fariselli. An online database, called eSLDB, was developed by integrating, for each aminoacidic sequence extracted from the genome, the predicted subcellular localization merged with experimental and similarity‐based annotations. In the second part of the work a new, machine learning based, method was implemented for the prediction of GPI‐anchored proteins. Basically the method is able to efficiently predict from the raw aminoacidic sequence both the presence of the GPI‐anchor (by means of an SVM), and the position in the sequence of the post‐translational modification event, the so called ω‐site (by means of an Hidden Markov Model (HMM)). The method is called GPIPE and reported to greatly enhance the prediction performances of GPI‐anchored proteins over all the previously developed methods. GPIPE was able to predict up to 88% of the experimentally annotated GPI‐anchored proteins by maintaining a rate of false positive prediction as low as 0.1%. GPIPE was used to completely annotate 81 eukaryotic genomes, and more than 15000 putative GPI‐anchored proteins were predicted, 561 of which are found in H. sapiens. In average 1% of a proteome is predicted as GPI‐anchored. A statistical analysis was performed onto the composition of the regions surrounding the ω‐site that allowed the definition of specific aminoacidic abundances in the different considered regions. Furthermore the hypothesis that compositional biases are present among the four major eukaryotic kingdoms, proposed in literature, was tested and rejected. All the developed predictors and databases are freely available at: BaCelLo http://gpcr.biocomp.unibo.it/bacello eSLDB http://gpcr.biocomp.unibo.it/esldb GPIPE http://gpcr.biocomp.unibo.it/gpipe

Computational methods for the analysis of protein structure and function

The vast majority of known proteins have not yet been experimentally characterized and little is known about their function. The design and implementation of computational tools can provide insight into the function of proteins based on their sequence, their structure, their evolutionary history and their association with other proteins. Knowledge of the three-dimensional (3D) structure of a protein can lead to a deep understanding of its mode of action and interaction, but currently the structures of <1% of sequences have been experimentally solved. For this reason, it became urgent to develop new methods that are able to computationally extract relevant information from protein sequence and structure. The starting point of my work has been the study of the properties of contacts between protein residues, since they constrain protein folding and characterize different protein structures. Prediction of residue contacts in proteins is an interesting problem whose solution may be useful in protein folding recognition and de novo design. The prediction of these contacts requires the study of the protein inter-residue distances related to the specific type of amino acid pair that are encoded in the so-called contact map. An interesting new way of analyzing those structures came out when network studies were introduced, with pivotal papers demonstrating that protein contact networks also exhibit small-world behavior. In order to highlight constraints for the prediction of protein contact maps and for applications in the field of protein structure prediction and/or reconstruction from experimentally determined contact maps, I studied to which extent the characteristic path length and clustering coefficient of the protein contacts network are values that reveal characteristic features of protein contact maps. Provided that residue contacts are known for a protein sequence, the major features of its 3D structure could be deduced by combining this knowledge with correctly predicted motifs of secondary structure. In the second part of my work I focused on a particular protein structural motif, the coiled-coil, known to mediate a variety of fundamental biological interactions. Coiled-coils are found in a variety of structural forms and in a wide range of proteins including, for example, small units such as leucine zippers that drive the dimerization of many transcription factors or more complex structures such as the family of viral proteins responsible for virus-host membrane fusion. The coiled-coil structural motif is estimated to account for 5-10% of the protein sequences in the various genomes. Given their biological importance, in my work I introduced a Hidden Markov Model (HMM) that exploits the evolutionary information derived from multiple sequence alignments, to predict coiled-coil regions and to discriminate coiled-coil sequences. The results indicate that the new HMM outperforms all the existing programs and can be adopted for the coiled-coil prediction and for large-scale genome annotation. Genome annotation is a key issue in modern computational biology, being the starting point towards the understanding of the complex processes involved in biological networks. The rapid growth in the number of protein sequences and structures available poses new fundamental problems that still deserve an interpretation. Nevertheless, these data are at the basis of the design of new strategies for tackling problems such as the prediction of protein structure and function. Experimental determination of the functions of all these proteins would be a hugely time-consuming and costly task and, in most instances, has not been carried out. As an example, currently, approximately only 20% of annotated proteins in the Homo sapiens genome have been experimentally characterized. A commonly adopted procedure for annotating protein sequences relies on the "inheritance through homology" based on the notion that similar sequences share similar functions and structures. This procedure consists in the assignment of sequences to a specific group of functionally related sequences which had been grouped through clustering techniques. The clustering procedure is based on suitable similarity rules, since predicting protein structure and function from sequence largely depends on the value of sequence identity. However, additional levels of complexity are due to multi-domain proteins, to proteins that share common domains but that do not necessarily share the same function, to the finding that different combinations of shared domains can lead to different biological roles. In the last part of this study I developed and validate a system that contributes to sequence annotation by taking advantage of a validated transfer through inheritance procedure of the molecular functions and of the structural templates. After a cross-genome comparison with the BLAST program, clusters were built on the basis of two stringent constraints on sequence identity and coverage of the alignment. The adopted measure explicity answers to the problem of multi-domain proteins annotation and allows a fine grain division of the whole set of proteomes used, that ensures cluster homogeneity in terms of sequence length. A high level of coverage of structure templates on the length of protein sequences within clusters ensures that multi-domain proteins when present can be templates for sequences of similar length. This annotation procedure includes the possibility of reliably transferring statistically validated functions and structures to sequences considering information available in the present data bases of molecular functions and structures.

Klonierung, Charakterisierung und Funktion der beiden SAPK-Mitglieder JNK und p38 MAPK des marinen Schwamms S. domuncula

Zusammenfassung der Dissertation von Markus Böhm 'Klonierung, Sequenzierung und Funktion der beiden SAPK-Mitglieder JNK und p38 MAPK des marinen Schwamms S. domuncula' am Fachbereich Biologie der Johannes Gutenberg-Universität Mainz: Da Schwämme zu den einfachsten Metazoen gehören, eignen sie sich gut zur Erforschung von Signaltransduktionsprozessen. Die SAPKs stellen hoch konservierte Signalmoleküle dar, die durch viele Zellstress-auslösende Faktoren aktiviert werden und in zahlreichen biologischen Prozessen involviert sind.Im Rahmen dieser Arbeit wurden zwei SAPK-Gene aus S. domuncula isoliert. Ihre abgeleiteten Aminosäuresequenzen wiesen die höchsten Homologien zu den Mitgliedern der SAPK1/JNK- und SAPK2/p38 MAPK-Subfamilie der Metazoen auf. Die geringste Übereinstimmung existierte gegenüber der einzigen SAPK der Hefe (HOG1). Beide Gene des Schwamms besaßen zudem eine außerordentlich hohe Übereinstimmung hinsichtlich ihrer Exon/Intron-Strukturen. Diese Ergebnisse deuten daraufhin, dass die SAPKs der multizellulären Tiere durch Duplikation eines HOG1-verwandten Vorläufergens entstanden sind. Durch den Vergleich der Intronpositionen mit denen von SAPK-Genen aus D. melanogaster, C. elegans und H. sapiens wurde ersichtlich, dass die Positionen der nichtkodierenden Sequenzbereiche dieser Gene hoch konserviert sind. Western Blot-Analysen demonstrierten, dass beide Schwamm-Kinasen durch hyperosmotischen Stress, LPS und den Phosphataseinhibitor Okadainsäure aktiviert werden. Außerdem wurde durch Versuche mit HOG1-defizienten Hefemutanten gezeigt, dass sie die Funktion des HOG1-Proteins in S. cerevisiae vollständig übernehmen können. Da die aktivierten Kinasen des Schwamms wie HOG1 im Nukleus der Hefezellen akkumuliert werden, müssen die Kerntransportmechanismen der SAPKs ebenfalls evolutionär erhalten sein.

Role of Notch signalling in human hepatocellular carcinoma

The Notch signalling is a cellular pathway that results conserved from Drosophila to Homo sapiens controlling a wide range of cellular processes in development and in differentiated organs. It induces cell proliferation or differentiation, increased survival or apoptosis, and it is involved in stemness maintainance. These functions are conserved, but exerted with a high tissue and cellular context specificity. Signalling activation determs nuclear translocation of the receptor’s cytoplasmic domain and activation of target genes transcription. As many developmental pathway, Notch deregulation is involved in cancer, leading to oncogenic or tumour suppressive role depending on the functions exerted in normal tissue. Notch1 and Notch3 resulted aberrantly expressed in human hepatocellular carcinoma (HCC) that is the more frequent tumour of the liver and the sixth most common tumour worldwide. This thesis has the aim to investigate the role of the signalling in HCC, with particular attention to dissect common and uncommon regulatory pathways between Notch1 and Notch3 and to define the role of the signalling in HCC. Nocth1 and Notch3 were analysed on their regulation on Hes1 target and involvement in cell cycle control. They showed to regulate CDKN1C/p57kip2 expression through Hes1 target. CDKN1C/p57kip2 induces not only cell cycle arrest, but also senescence in HCC cell lines. Moreover, the involvement of Notch1 in cancer progression and epithelial to mesenchymal transition was investigated. Notch1 showed to induce invasion of HCC, regulating EMT and E- Cadherin expression. Moreover, Notch3 showed specific regulation on p53 at post translational levels. In vitro and ex vivo analysis on HCC samples suggests a complex role of both receptors in regulate HCC, with an oncogenic role but also showing tumour suppressive effects, suggesting a complex and deep involvement of this signalling in HCC.

Comparing genetic and linguistic diversity in African populations with a focus on the Khoisan of southern Africa

The interaction between disciplines in the study of human population history is of primary importance, profiting from the biological and cultural characteristics of humankind. In fact, data from genetics, linguistics, archaeology and cultural anthropology can be combined to allow for a broader research perspective. This multidisciplinary approach is here applied to the study of the prehistory of sub-Saharan African populations: in this continent, where Homo sapiens originally started his evolution and diversification, the understanding of the patterns of human variation has a crucial relevance. For this dissertation, molecular data is interpreted and complemented with a major contribution from linguistics: linguistic data are compared to the genetic data and the research questions are contextualized within a linguistic perspective. In the four articles proposed, we analyze Y chromosome SNPs and STRs profiles and full mtDNA genomes on a representative number of samples to investigate key questions of African human variability. Some of these questions address i) the amount of genetic variation on a continental scale and the effects of the widespread migration of Bantu speakers, ii) the extent of ancient population structure, which has been lost in present day populations, iii) the colonization of the southern edge of the continent together with the degree of population contact/replacement, and iv) the prehistory of the diverse Khoisan ethnolinguistic groups, who were traditionally understudied despite representing one of the most ancient divergences of modern human phylogeny. Our results uncover a deep level of genetic structure within the continent and a multilayered pattern of contact between populations. These case studies represent a valuable contribution to the debate on our prehistory and open up further research threads.

Evolutionäre Veränderungen in der Nutzung redox-aktiver Aminosäuren und ihre Ursachen

Gewebe, Zellen und speziell Zellkompartimente unterscheiden sich in ihrer Sauerstoffkonzentration, Stoffwechselrate und in der Konzentration an gebildeten reaktiven Sauerstoffspezies. Um eine mögliche Änderung in der Aminosäurennutzung durch den Einfluss von Sauerstoff und seinen reaktiven Spezies untersuchen zu können wurden, Bereiche bzw. Kompartimente der menschlichen Zelle definiert, die einen Referenzrahmen bildeten und bekannt dafür sind, einen relativ hohen Grad an reaktiven Sauerstoffspezies aufzuweisen. Aus dem Vergleich wurde deutlich, dass vor allem die beiden redox-aktiven und schwefeltragenden Aminosäuren Cystein und Methionin durch eine besondere Verteilung und Nutzung charakterisiert sind. Cystein ist hierbei diejenige Aminosäure mit den deutlichsten Änderungen in den fünf untersuchten Modellen der oxidativen Belastung. In all diesen Modellen war die Nutzung von Cystein deutlich reduziert, wohingegen Methionin in Proteinen des Mitochondriums und der Elektronentransportkette angereichert war. Dieser auf den ersten Blick paradoxe Unterschied zwischen Cystein und Methionin wurde näher untersucht, indem die differenzierte Methioninnutzung in verschiedenen Zellkompartimenten von Homo sapiens charakterisiert wurde.rnDie sehr leicht zu oxidierende Aminosäure Methionin zeigt ein ungewöhnliches Verteilungsmuster in ihrer Nutzungshäufigkeit. Entgegen mancher Erwartung wird Methionin in zellulären Bereichen hoher oxidativer Belastung und starker Radikalproduktion intensiv verwendet. Dieses Verteilungsmuster findet man sowohl im intrazellulären Vergleich, als auch im Vergleich verschiedener Spezies untereinander, was daraufhin deutet, dass es einen lokalen Bedarf an redox-aktiven Aminosäuren gibt, der einen sehr starken Effekt auf die Nutzungshäufigkeit von Methionin ausübt. Eine hohe Stoffwechselrate, die im Allgemeinen mit einer erhöhten Produktion von Oxidantien assoziiert wird, scheint ein maßgeblicher Faktor der Akkumulation von Methionin in Proteinen der Atmungskette zu sein. Die Notwendigkeit, oxidiertes Antioxidans wieder zu reduzieren, findet auch bei Methionin Anwendung, denn zu Methioninsulfoxid oxidiertes Methionin wird durch die Methioninsulfoxidreduktase wieder zu Methionin reduziert. Daher kann die spezifische Akkumulation von Methionin in Proteinen, die verstärkt reaktiven Sauerstoffspezies ausgesetzt sind, als eine systematische Strategie angesehen werden, um andere labile Strukturen vor ungewollter Oxidation zu schützen. rnDa Cystein in allen untersuchten Modellen der oxidativen Belastung und im Besonderen in Membranproteinen der inneren Mitochondrienmembran lebensspannenabhängig depletiert war, wurde dieses Merkmal näher untersucht. Deshalb wurde die Hypothese getestet, ob ein besonderer Redox-Mechanismus der Thiolfunktion für diese selektive Depletion einer im Allgemeinen als harmlos oder antioxidativ geltenden Aminosäure verantwortlich ist. Um den Effekt von Cysteinresten in Membranen nachzustellen, wurden primäre humane Lungenfibroblasten (IMR90) mit diversen Modellsubstanzen behandelt. Geringe Konzentrationen der lipophilen Substanz Dodecanthiol verursachten eine signifikante Toxizität in IMR90-Zellen, die von einer schnellen Zunahme an polyubiquitinierten Proteinen und anderen Indikatoren des proteotoxischen Stresses, wie Sequestosom 1 (P62), HSP70 und HSP90 begleitet wurde. Dieser Effekt konnte spezifisch der Chemie der Thiolfunktion in Membranen zugeordnet werden, da Dodecanol (DOH), Dodecylmethylsulfid (DMS), Butanthiol oder wasserlösliche Thiole weder eine cytotoxische Wirkung noch eine Polyubiquitinierung von Proteinen verursachten. Die Ergebnisse stimmen mit der Hypothese überein, dass Thiole innerhalb von biologischen Membranen als radikalische Kettentransferagentien wirken. Diese Eigenschaft wird in der Polymerchemie durch Nutzung von lipophilen Thiolen in hydrophoben Milieus technisch für die Produktion von Polymeren benutzt. Da die Thiylradikal-spezifische Reaktion von cis-Fettsäuren zu trans-Fettsäuren in 12SH behandelten Zellen verstärkt ablief, kann gefolgert werden, dass 12SH zellulär radikalisiert wurde. In lebenden Organismen kann demnach die Oxidation von Cystein die Schädigung von Membranen beschleunigen und damit Einfallstore für die laterale Radikalisierung von integralen Membranproteinen schaffen, welche möglicherweise der Langlebigkeit abträglich ist, zumindest, wenn sie in der inneren Mitochondrienmembran auftritt.

Eukaryotic translation elongation factor 1A (eEF1A) domain I from S. cerevisiae is required but not sufficient for inter-species complementation

Ethanolamine phosphoglycerol (EPG) is a protein modification attached exclusively to eukaryotic elongation factor 1A (eEF1A). In mammals and plants, EPG is linked to conserved glutamate residues located in eEF1A domains II and III, whereas in the unicellular eukaryote Trypanosoma brucei, only domain III is modified by a single EPG. A biosynthetic precursor of EPG and structural requirements for EPG attachment to T. brucei eEF1A have been reported, but nothing is known about the EPG modifying enzyme(s). By expressing human eEF1A in T. brucei, we now show that EPG attachment to eEF1A is evolutionarily conserved between T. brucei and Homo sapiens. In contrast, S. cerevisiae eEF1A, which has been shown to lack EPG is not modified in T. brucei. Furthermore, we show that eEF1A cannot functionally complement across species when using T. brucei and S. cerevisiae as model organisms. However, functional complementation in yeast can be obtained using eEF1A chimera containing domains II or III from other species. In contrast, yeast domain I is strictly required for functional complementation in S. cerevisiae.

Adaptation to hard-object feeding in sea otters and hominins

The large, bunodont postcanine teeth in living sea otters (Enhydra lutris) have been likened to those of certain fossil hominins, particularly the ’robust’ australopiths (genus Paranthropus). We examine this evolutionary convergence by conducting fracture experiments on extracted molar teeth of sea otters and modern humans (Homo sapiens) to determine how load-bearing capacity relates to tooth morphology and enamel material properties. In situ optical microscopy and x-ray imaging during simulated occlusal loading reveal the nature of the fracture patterns. Explicit fracture relations are used to analyze the data and to extrapolate the results from humans to earlier hominins. It is shown that the molar teeth of sea otters have considerably thinner enamel than those of humans, making sea otter molars more susceptible to certain kinds of fractures. At the same time, the base diameter of sea otter first molars is larger, diminishing the fracture susceptibility in a compensatory manner. We also conduct nanoindentation tests to map out elastic modulus and hardness of sea otter and human molars through a section thickness, and microindentation tests to measure toughness. We find that while sea otter enamel is just as stiff elastically as human enamel, it is a little softer and tougher. The role of these material factors in the capacity of dentition to resist fracture and deformation is considered. From such comparisons, we argue that early hominin species like Paranthropus most likely consumed hard food objects with substantially higher biting forces than those exerted by modern humans.

Chemotherapeutic strategies against Trypanosoma brucei: drug targets vs. drug targeting

Trypanosoma brucei rhodesiense and T. b. gambiense are the causative agents of sleeping sickness, a fatal disease that affects 36 countries in sub-Saharan Africa. Nevertheless, only a handful of clinically useful drugs are available. These drugs suffer from severe side-effects. The situation is further aggravated by the alarming incidence of treatment failures in several sleeping sickness foci, apparently indicating the occurrence of drug-resistant trypanosomes. Because of these reasons, and since vaccination does not appear to be feasible due to the trypanosomes' ever changing coat of variable surface glycoproteins (VSGs), new drugs are needed urgently. The entry of Trypanosoma brucei into the post-genomic age raises hopes for the identification of novel kinds of drug targets and in turn new treatments for sleeping sickness. The pragmatic definition of a drug target is, a protein that is essential for the parasite and does not have homologues in the host. Such proteins are identified by comparing the predicted proteomes of T. brucei and Homo sapiens, then validated by large-scale gene disruption or gene silencing experiments in trypanosomes. Once all proteins that are essential and unique to the parasite are identified, inhibitors may be found by high-throughput screening. However powerful, this functional genomics approach is going to miss a number of attractive targets. Several current, successful parasiticides attack proteins that have close homologues in the human proteome. Drugs like DFMO or pyrimethamine inhibit parasite and host enzymes alike--a therapeutic window is opened only by subtle differences in the regulation of the targets, which cannot be recognized in silico. Working against the post-genomic approach is also the fact that essential proteins tend to be more highly conserved between species than non-essential ones. Here we advocate drug targeting, i.e. uptake or activation of a drug via parasite-specific pathways, as a chemotherapeutic strategy to selectively inhibit enzymes that have equally sensitive counterparts in the host. The T. brucei purine salvage machinery offers opportunities for both metabolic and transport-based targeting: unusual nucleoside and nucleobase permeases may be exploited for selective import, salvage enzymes for selective activation of purine antimetabolites.

BrainMaps.org - Interactive High-Resolution Digital Brain Atlases and Virtual Microscopy

BrainMaps.org is an interactive high-resolution digital brain atlas and virtual microscope that is based on over 20 million megapixels of scanned images of serial sections of both primate and non-primate brains and that is integrated with a high-speed database for querying and retrieving data about brain structure and function over the internet. Complete brain datasets for various species, including Homo sapiens, Macaca mulatta, Chlorocebus aethiops, Felis catus, Mus musculus, Rattus norvegicus, and Tyto alba, are accessible online. The methods and tools we describe are useful for both research and teaching, and can be replicated by labs seeking to increase accessibility and sharing of neuroanatomical data. These tools offer the possibility of visualizing and exploring completely digitized sections of brains at a sub-neuronal level, and can facilitate large-scale connectional tracing, histochemical and stereological analyses.

The “Out of Africa Tribe” (II): Paleolithic warriors with big canoes and protective weapons

It is generally difficult to establish a timeline for the appearance of different technologies and tools during human cultural evolution. Here I use stochastic character mapping of discrete traits using human mtDNA phylogenies rooted to the Reconstructed Sapiens Reference Sequence (RSRS) as a model to address this question. The analysis reveals that the ancestral state of Homo sapiens was hunting, using material innovations that included bows and arrows, stone axes and spears. However, around 80,000 y before present, a transition occurred, from this ancestral hunting tradition, toward the invention of protective weapons such as shields, the appearance of ritual fighting as a socially accepted behavior and the construction of war canoes for the fast transport of large numbers of warriors. This model suggests a major cultural change, during the Palaeolithic, from hunters to warriors. Moreover, in the light of the recent Out of Africa Theory, it suggests that the “Out of Africa Tribe” was a tribe of warriors that had developed protective weapons such as shields and used big war canoes to travel the sea coast and big rivers in raiding expeditions.

Population genetics of VNTR loci and their applications in evolutionary studies

Variable number of tandem repeats (VNTR) are genetic loci at which short sequence motifs are found repeated different numbers of times among chromosomes. To explore the potential utility of VNTR loci in evolutionary studies, I have conducted a series of studies to address the following questions: (1) What are the population genetic properties of these loci? (2) What are the mutational mechanisms of repeat number change at these loci? (3) Can DNA profiles be used to measure the relatedness between a pair of individuals? (4) Can DNA fingerprint be used to measure the relatedness between populations in evolutionary studies? (5) Can microsatellite and short tandem repeat (STR) loci which mutate stepwisely be used in evolutionary analyses?^ A large number of VNTR loci typed in many populations were studied by means of statistical methods developed recently. The results of this work indicate that there is no significant departure from Hardy-Weinberg expectation (HWE) at VNTR loci in most of the human populations examined, and the departure from HWE in some VNTR loci are not solely caused by the presence of population sub-structure.^ A statistical procedure is developed to investigate the mutational mechanisms of VNTR loci by studying the allele frequency distributions of these loci. Comparisons of frequency distribution data on several hundreds VNTR loci with the predictions of two mutation models demonstrated that there are differences among VNTR loci grouped by repeat unit sizes.^ By extending the ITO method, I derived the distribution of the number of shared bands between individuals with any kinship relationship. A maximum likelihood estimation procedure is proposed to estimate the relatedness between individuals from the observed number of shared bands between them.^ It was believed that classical measures of genetic distance are not applicable to analysis of DNA fingerprints which reveal many minisatellite loci simultaneously in the genome, because the information regarding underlying alleles and loci is not available. I proposed a new measure of genetic distance based on band sharing between individuals that is applicable to DNA fingerprint data.^ To address the concern that microsatellite and STR loci may not be useful for evolutionary studies because of the convergent nature of their mutation mechanisms, by a theoretical study as well as by computer simulation, I conclude that the possible bias caused by the convergent mutations can be corrected, and a novel measure of genetic distance that makes the correction is suggested. In summary, I conclude that hypervariable VNTR loci are useful in evolutionary studies of closely related populations or species, especially in the study of human evolution and the history of geographic dispersal of Homo sapiens. (Abstract shortened by UMI.) ^