Caracterização molecular de três espécies de Trachycephalus (Anura: Hylidae) : investigando potenciais híbridos interespecíficos

Animais híbridos representam um desafio à taxonomia e sistemática, pois correspondem a unidades evolutivas geralmente sem clara delimitação morfológica, comportamental e genética. Híbridos podem ser morfologicamente intermediários aos parentais ou, devido à introgressão e retrocruzamentos, suas características podem se misturar tornando difícil sua identificação. Uma das formas de identificação de híbridos é por meio de ferramentas de biologia molecular, que ao utilizarem marcadores de DNA mitocondrial (herança exclusiva materna) e DNA nuclear (herança materna e paterna), permitem a comparação entre informações genéticas. Além da hibridização existem outras fontes de conflito entre dados moleculares provenientes do DNA mitocondrial e DNA nuclear, como por exemplo a retenção de polimorfismos ancentrais. Em localidades do Espírito Santo, Brasil, foram coletados indivíduos de morfologia distinta de Trachycephalus mesophaeus e T. nigromaculatus, que são as únicas espécies do gênero conhecidas nesse estado. Porém, estudos piloto usando o gene mitocondrial Citocromo Oxidase subunidade I (COI) agruparam esses espécimes com amostras de T. typhonius. Devido a estas incongruências, foram sequenciados fragmentos de dois genes mitocondriais - COI e Nicotinamida Desidrogenase subunidade 2 (ND2) e um exon nuclear (tirosinase) de 173 indivíduos de Trachycephalus, de forma a esclarecer as identificações taxonômicas e investigar a correspondência entre caracteres morfológicos e genéticos nesta linhagem, na sua área de ocorrência As filogenias moleculares, divergências genéticas, redes de haplótipos e polimorfismos de nucleotídeos únicos (SNPs) confirmaram as três espécies acima mencionadas como linhagens evolutivas distintas e revelaram mais sete indivíduos potencialmente híbridos, mas morfologicamente assinalados a T. mesophaeus, T. nigromaculatus ou T. typhonius.. Devido à taxa de evolução lenta da tirosinase, as espécies mais recentes T. typhonius e T. nigromaculatus parecem não terem sido sorteadas completamente nesse gene. Já T. mesophaeus, que é a espécie mais antiga das três, foi recuperada inequivocamente em todas as análises. De forma inédita, as análises moleculares evidenciaram a ocorrência de introgressão bidirecional entre T. nigromaculatus e T. typhonius e entre T. nigromaculatus e T. mesophaeus, sendo que há indícios de indivíduos F1 (cruzamentos entre espécies parentais puras gerando híbridos). A utilização do gene ND2 mostrou-se mais eficiente do que o gene COI nas filogenias e, apesar da tirosinase ser um gene nuclear de evolução lenta, contribuiu para a identificação de incongruências citonucleares. Nossos resultados mostram que a história filogenética de Trachycephalus é complexa e que o uso de marcadores nucleares de evolução mais rápida e ampliação dessas análises para outras espécies do gênero podem revelar mais eventos de hibridização.

Phylogéographie comparée de la souris à pattes blanches et de la souris sylvestre, deux vecteurs de la maladie de Lyme au Québec

Mon étude vise à évaluer la propagation d’une zoonose en émergence au Québec, la maladie de Lyme, en conséquence du réchauffement climatique. Le pathogène responsable de cette infection, Borrelia burgdorferi, est transmis par l’intermédiaire d’une tique parasite, Ixodes scapularis, de plus en plus commune au Québec en raison de l’augmentation de la température moyenne du climat depuis les dernières décennies. Puisque la tique a une capacité de déplacement très restreinte, on s'attend à ce que sa dispersion soit liée à celle de son hôte primaire, soit la souris à pattes blanches (Peromyscus leucopus). Je décrirai donc d’abord les espèces impliquées, leur écologie et leur rôle dans ce système à trois niveaux (hôte/pathogène/vecteur). Puis, à l’aide de séquences d’ADN mitochondrial, je comparerai la phylogéographie des deux principales espèces de souris au Québec, la souris à pattes blanches et la souris sylvestre (P. maniculatus). Des analyses d’arbres et de réseaux d’haplotypes ont révélé des différences significatives dans la structure génétique et ainsi montré que les populations de P. leucopus seraient en expansion dans le sud du Québec. Cette étude nous a finalement permis d’émettre des hypothèses sur le patron d’établissement de la maladie de Lyme au Québec.

Filogeografia de Thoropa grupo miliaris (Anura: Cycloramphidae)

Pós-graduação em Biologia Animal - IBILCE

Filogeografia de três espécies de Passeiriformes (Suboscines) na região do Baixo Tocantins - Ilha do Marajó - Pará

A região do Baixo Tocantins - ilha do Marajó é excelente local para se realizar um estudo de integração de dados geológicos e biológicos visando-se a compreensão dos processos de diversificação de espécies. Foram estimados parâmetros de genética populacional e realizadas análises filo genéticas das populações amostradas utilizando-se o gene ND2, relacionando-os com o cenário geológico proposto para a evolução da região. Foram utilizadas inferência bayesiana e máxima verossimilhança para reconstrução de filogenias intraespecíficas, redes de haplótipos e o teste de desvio de neutralidade R2, AMOVA, F _ST e Nm para as análises populacionais, para três espécies de aves Passeriformes: Xiphorhynchus spixii e Glyphorynchs spirurus (Dendrocolaptidae) e Willisornis poecilinotus (Thamnophilidae). As populações de X spixii não apresentaram estruturação geográfica, exibindo altos níveis de fluxo gênico entre elas. A árvore filogenética de G. spirurus apresentou um grupo de haplótipos únicos da ilha do Marajó (1M) e um grupo irmão contendo haplótipos pertencentes às áreas de endemismo Xingu (XI), Belém (BE) e 1M. Essa topologia indica um aparente contato secundário recente na 1M entre uma população isolada e endêmica da própria ilha com populações do continente (XI). A árvore obtida para W poecilinotus apresentou uma topologia semelhante àquela de G. spirurus, indicando que a formação da 1M provavelmente atuou de maneira similar em diferentes espécies, com similares capacidades de dispersão, gerando padrões filogeográficos concordantes. Comparando--se as três espécies, concluímos que X spixii possui maior capacidade de dispersão respondendo de maneira distinta ao mesmo efeito vicariante. Estimativas do relógio molecular para o nó que separa o grupo de haplótipos endêmicos da ilha do Marajó mostram que tanto as populações de G. spirurus, quanto às de W. poecilinotus são muito mais antigas que os eventos que levaram à separação total da 1M em relação ao continente (aproximadamente 10.000 anos AP), com uma idade estimada aproximadamente 747.000 anos AP para G. spirurus e 798.000 anos AP para W. poecilinotus, indicando que outros processos vicariantes anteriores à separação total da Ilha do Marajó poderiam ter separado essas populações endêmicas da ilha.

Phylogeography of the freshwater red alga Sirodotia (Batrachospermales, Rhodophyta) in Brazil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Molecular phylogeography of the Woodland Ringlet (Erebia medusa [Denis and Schiffermüller] 1775) in Europe

Phylogeography is a recent field of biological research that links phylogenetics to biogeography through deciphering the imprint that evolutionary history has left on the genetic structure of extant populations. During the cold phases of the successive ice ages, which drastically shaped species’ distributions since the Pliocene, populations of numerous species were isolated in refugia where many of them evolved into different genetic lineages. My dissertation deals with the phylogeography of the Woodland Ringlet (Erebia medusa [Denis and Schiffermüller] 1775) in Central and Eastern Europe. This Palaearctic butterfly species is currently distributed from central France and south eastern Belgium over large parts of Central Europe and southern Siberia to the Pacific. It is absent from those parts of Europe with mediterranean, oceanic and boreal climates. It was supposed to be a Siberian faunal element with a rather homogeneous population structure in Central Europe due to its postglacial expansion out of a single eastern refugium. An already existing evolutionary scenario for the Woodland Ringlet in Central and Eastern Europe is based on nuclear data (allozymes). To know if this is corroborated by organelle evolutionary history, I sequenced two mitochondrial markers (part of the cytochrome oxydase subunit one and the control region) for populations sampled over the same area. Phylogeography largely relies on the construction of networks of uniparentally inherited haplotypes that are compared to geographic haplotype distribution thanks to recent developed methods such as nested clade phylogeographic analysis (NCPA). Several ring-shaped ambiguities (loops) emerged from both haplotype networks in E. medusa. They can be attributed to recombination and homoplasy. Such loops usually avert the straightforward extraction of the phylogeographic signal contained in a gene tree. I developed several new approaches to extract phylogeographic information in the presence of loops, considering either homoplasy or recombination. This allowed me to deduce a consistent evolutionary history for the species from the mitochondrial data and also adds plausibility for the occurrence of recombination in E. medusa mitochondria. Despite the fact that the control region is assumed to have a lack of resolving power in other species, I found a considerable genetic variation of this marker in E. medusa which makes it a useful tool for phylogeographic studies. In combination with the allozyme data, the mitochondrial genome supports the following phylogeographic scenario for E. medusa in Europe: (i) a first vicariance, due to the onset of the Würm glaciation, led to the formation of several major lineages, and is mirrored in the NCPA by restricted gene flow, (ii) later on further vicariances led to the formation of two sub-lineages in the Western lineage and two sub-lineages in the Eastern lineage during the Last Glacial Maximum or Older Dryas; additionally the NCPA supports a restriction of gene flow with isolation by distance, (iii) finally, vicariance resulted in two secondary sub-lineages in the area of Germany and, maybe, to two other secondary sub-lineages in the Czech Republic. The last postglacial warming was accompanied by strong range expansions in most of the genetic lineages. The scenario expected for a presumably Siberian faunal element such as E. medusa is a continuous loss of genetic diversity during postglacial westward expansion. Hence, the pattern found in this thesis contradicts a typical Siberian origin of E. medusa. In contrast, it corroboratess the importance of multiple extra-Mediterranean refugia for European fauna as it was recently assumed for other continental species.

Nuclear and plastid markers reveal the persistence of genetic identity: A new perspective on the evolutionary history of Petunia exserta

Recently divergent species that can hybridize are ideal models for investigating the genetic exchanges that can occur while preserving the species boundaries. Petunia exserta is an endemic species from a very limited and specific area that grows exclusively in rocky shelters. These shaded spots are an inhospitable habitat for all other Petunia species, including the closely related and widely distributed species P. axillaris. Individuals with intermediate morphologic characteristics have been found near the rocky shelters and were believed to be putative hybrids between P. exserta and P. axillaris, suggesting a situation where Petunia exserta is losing its genetic identity. In the current study, we analyzed the plastid intergenic spacers trnS/trnG and trnH/psbA and six nuclear CAPS markers in a large sampling design of both species to understand the evolutionary process occurring in this biological system. Bayesian clustering methods, cpDNA haplotype networks, genetic diversity statistics, and coalescence-based analyses support a scenario where hybridization occurs while two genetic clusters corresponding to two species are maintained. Our results reinforce the importance of coupling differentially inherited markers with an extensive geographic sample to assess the evolutionary dynamics of recently diverged species that can hybridize. (C) 2013 Elsevier Inc. All rights reserved.

Haplotype distribution of five nuclear genes based on network genealogies and Bayesian inference indicates that Trypanosoma cruzi hybrid strains are polyphyletic

Chagas disease is still a major public health problem in Latin America. Its causative agent, Trypanosoma cruzi, can be typed into three major groups, T. cruzi I, T. cruzi II and hybrids. These groups each have specific genetic characteristics and epidemiological distributions. Several highly virulent strains are found in the hybrid group; their origin is still a matter of debate. The null hypothesis is that the hybrids are of polyphyletic origin, evolving independently from various hybridization events. The alternative hypothesis is that all extant hybrid strains originated from a single hybridization event. We sequenced both alleles of genes encoding EF-1 alpha, actin and SSU rDNA of 26 T. cruzi strains and DHFR-TS and TR of 12 strains. This information was used for network genealogy analysis and Bayesian phylogenies. We found T. cruzi I and T. cruzi II to be monophyletic and that all hybrids had different combinations of T. cruzi I and T. cruzi II haplotypes plus hybrid-specific haplotypes. Bootstrap values (networks) and posterior probabilities (Bayesian phylogenies) of clades supporting the monophyly of hybrids were far below the 95% confidence interval, indicating that the hybrid group is polyphyletic. We hypothesize that T. cruzi I and T. cruzi II are two different species and that the hybrids are extant representatives of independent events of genome hybridization, which sporadically have sufficient fitness to impact on the epidemiology of Chagas disease.

Modeling associations between genetic markers using Bayesian networks

Motivation: Understanding the patterns of association between polymorphisms at different loci in a population ( linkage disequilibrium, LD) is of fundamental importance in various genetic studies. Many coefficients were proposed for measuring the degree of LD, but they provide only a static view of the current LD structure. Generative models (GMs) were proposed to go beyond these measures, giving not only a description of the actual LD structure but also a tool to help understanding the process that generated such structure. GMs based in coalescent theory have been the most appealing because they link LD to evolutionary factors. Nevertheless, the inference and parameter estimation of such models is still computationally challenging. Results: We present a more practical method to build GM that describe LD. The method is based on learning weighted Bayesian network structures from haplotype data, extracting equivalence structure classes and using them to model LD. The results obtained in public data from the HapMap database showed that the method is a promising tool for modeling LD. The associations represented by the learned models are correlated with the traditional measure of LD D`. The method was able to represent LD blocks found by standard tools. The granularity of the association blocks and the readability of the models can be controlled in the method. The results suggest that the causality information gained by our method can be useful to tell about the conservability of the genetic markers and to guide the selection of subset of representative markers.

Contrasting Effects Of Land Use Intensity And Exotic Host Plants On The Specialization Of Interactions In Plant-herbivore Networks.

Human land use tends to decrease the diversity of native plant species and facilitate the invasion and establishment of exotic ones. Such changes in land use and plant community composition usually have negative impacts on the assemblages of native herbivorous insects. Highly specialized herbivores are expected to be especially sensitive to land use intensification and the presence of exotic plant species because they are neither capable of consuming alternative plant species of the native flora nor exotic plant species. Therefore, higher levels of land use intensity might reduce the proportion of highly specialized herbivores, which ultimately would lead to changes in the specialization of interactions in plant-herbivore networks. This study investigates the community-wide effects of land use intensity on the degree of specialization of 72 plant-herbivore networks, including effects mediated by the increase in the proportion of exotic plant species. Contrary to our expectation, the net effect of land use intensity on network specialization was positive. However, this positive effect of land use intensity was partially canceled by an opposite effect of the proportion of exotic plant species on network specialization. When we analyzed networks composed exclusively of endophagous herbivores separately from those composed exclusively of exophagous herbivores, we found that only endophages showed a consistent change in network specialization at higher land use levels. Altogether, these results indicate that land use intensity is an important ecological driver of network specialization, by way of reducing the local host range of herbivore guilds with highly specialized feeding habits. However, because the effect of land use intensity is offset by an opposite effect owing to the proportion of exotic host species, the net effect of land use in a given herbivore assemblage will likely depend on the extent of the replacement of native host species with exotic ones.

Complex networks: the key to systems biology

Though introduced recently, complex networks research has grown steadily because of its potential to represent, characterize and model a wide range of intricate natural systems and phenomena. Because of the intrinsic complexity and systemic organization of life, complex networks provide a specially promising framework for systems biology investigation. The current article is an up-to-date review of the major developments related to the application of complex networks in biology, with special attention focused on the more recent literature. The main concepts and models of complex networks are presented and illustrated in an accessible fashion. Three main types of networks are covered: transcriptional regulatory networks, protein-protein interaction networks and metabolic networks. The key role of complex networks for systems biology is extensively illustrated by several of the papers reviewed.

Neural networks and statistical analysis for classification of corneal videokeratography maps based on Zernike coefficients: a quantitative comparison

PURPOSE: The main goal of this study was to develop and compare two different techniques for classification of specific types of corneal shapes when Zernike coefficients are used as inputs. A feed-forward artificial Neural Network (NN) and discriminant analysis (DA) techniques were used. METHODS: The inputs both for the NN and DA were the first 15 standard Zernike coefficients for 80 previously classified corneal elevation data files from an Eyesys System 2000 Videokeratograph (VK), installed at the Departamento de Oftalmologia of the Escola Paulista de Medicina, São Paulo. The NN had 5 output neurons which were associated with 5 typical corneal shapes: keratoconus, with-the-rule astigmatism, against-the-rule astigmatism, "regular" or "normal" shape and post-PRK. RESULTS: The NN and DA responses were statistically analyzed in terms of precision ([true positive+true negative]/total number of cases). Mean overall results for all cases for the NN and DA techniques were, respectively, 94% and 84.8%. CONCLUSION: Although we used a relatively small database, results obtained in the present study indicate that Zernike polynomials as descriptors of corneal shape may be a reliable parameter as input data for diagnostic automation of VK maps, using either NN or DA.

Evaluation of follicular lymphoid depletion in the Bursa of Fabricius: an alternative methodology using digital image analysis and artificial neural networks

Fifty Bursa of Fabricius (BF) were examined by conventional optical microscopy and digital images were acquired and processed using Matlab® 6.5 software. The Artificial Neuronal Network (ANN) was generated using Neuroshell® Classifier software and the optical and digital data were compared. The ANN was able to make a comparable classification of digital and optical scores. The use of ANN was able to classify correctly the majority of the follicles, reaching sensibility and specificity of 89% and 96%, respectively. When the follicles were scored and grouped in a binary fashion the sensibility increased to 90% and obtained the maximum value for the specificity of 92%. These results demonstrate that the use of digital image analysis and ANN is a useful tool for the pathological classification of the BF lymphoid depletion. In addition it provides objective results that allow measuring the dimension of the error in the diagnosis and classification therefore making comparison between databases feasible.

Classification of breast masses using a committee machine of artificial neural networks

This work proposes a new approach using a committee machine of artificial neural networks to classify masses found in mammograms as benign or malignant. Three shape factors, three edge-sharpness measures, and 14 texture measures are used for the classification of 20 regions of interest (ROIs) related to malignant tumors and 37 ROIs related to benign masses. A group of multilayer perceptrons (MLPs) is employed as a committee machine of neural network classifiers. The classification results are reached by combining the responses of the individual classifiers. Experiments involving changes in the learning algorithm of the committee machine are conducted. The classification accuracy is evaluated using the area A. under the receiver operating characteristics (ROC) curve. The A, result for the committee machine is compared with the A, results obtained using MLPs and single-layer perceptrons (SLPs), as well as a linear discriminant analysis (LDA) classifier Tests are carried out using the student's t-distribution. The committee machine classifier outperforms the MLP SLP, and LDA classifiers in the following cases: with the shape measure of spiculation index, the A, values of the four methods are, in order 0.93, 0.84, 0.75, and 0.76; and with the edge-sharpness measure of acutance, the values are 0.79, 0.70, 0.69, and 0.74. Although the features with which improvement is obtained with the committee machines are not the same as those that provided the maximal value of A(z) (A(z) = 0.99 with some shape features, with or without the committee machine), they correspond to features that are not critically dependent on the accuracy of the boundaries of the masses, which is an important result. (c) 2008 SPIE and IS&T.

Fully Connected PLL Networks: How Filter Determines the Number of Nodes

Synchronization plays an important role in telecommunication systems, integrated circuits, and automation systems. Formerly, the masterslave synchronization strategy was used in the great majority of cases due to its reliability and simplicity. Recently, with the wireless networks development, and with the increase of the operation frequency of integrated circuits, the decentralized clock distribution strategies are gaining importance. Consequently, fully connected clock distribution systems with nodes composed of phase-locked loops (PLLs) appear as a convenient engineering solution. In this work, the stability of the synchronous state of these networks is studied in two relevant situations: when the node filters are first-order lag-lead low-pass or when the node filters are second-order low-pass. For first-order filters, the synchronous state of the network shows to be stable for any number of nodes. For second-order filter, there is a superior limit for the number of nodes, depending on the PLL parameters. Copyright (C) 2009 Atila Madureira Bueno et al.