Ecologia molecular de ostras (Crassostrea spp.) do Atlântico Tropical

Crassostrea (Sacco, 1897) é o gênero mais importante do mundo de ostras de cultivo e consiste de 34 espécies distribuídas pelas regiões tropicais e temperadas do globo. C. gasar e C. rhizophorae são as duas espécies nativas que estão distribuídas ao longo de toda a costa do Brasil até o Caribe. C. gasar também ocorre na costa da Africa. Ainda que sua distribuição seja extensa e com disponibilidade abundante, o cultivo de ostras nativas no Brasil ainda é incipiente e a delimitação correta dos estoques mantém-se incerta. O sucesso do desenvolvimento da malacocultura, que é recomendada internacionalmente como forma sustentável de aquicultura, depende da resolução desses problemas. Assim, com o objetivo de determinar geneticamente seus estoques no Atlântico como também estimar sua história demográfica, dois diferentes marcadores moleculares foram empregados: sequências de DNA da região controle mitocondrial e loci de microssatélites espécie-especifícos, desenvolvidos no presente estudo. Foram sequenciados fragmentos da região controle de um total de 930 indivíduos de C. gasar e C. rhizophorae coletados em 32 localidades que incluíram o Caribe, a Guiana Francesa, a costa brasileira e a África. Também foram realizadas genotipagens de 1178 indivíduos, e ambas as espécies, com 9 e 11 loci de microssatélites para C. gasar e C. rhizophorae, respectivamente. Os dados genéticos foram analisados através de diferentes abordagens (índices de estruturação (FST) e de (Jost D), análise molecular de variância (AMOVA), análise espacial molecular de variância (SAMOVA), Bayesian Skyline Plots (BSP), análise fatorial de correspondência (AFC) e análise de atribuição Bayesiana (STRUCTURE)). Os resultados indicaram um padrão geral de estruturação, onde dois diferentes estoques foram detectados para ambas as espécies: grupos do norte e do sul, onde o Rio de Janeiro seria a região limitante entre os dois estoques. Os maiores valores dos índices de estruturação foram encontrados para C. gasar, indicando que esta espécie estaria mais estruturada do que C. rhizophorae. As análises demográficas indicaram uma provável expansão das populações durante o ultimo período glacial e uma possível origem americana das populações africanas. Todos os resultados sugeriram a existência de uma barreira geográfica próxima ao Rio de Janeiro, que poderia ser a cadeia de Vitória-Trindade e o fenômeno de ressurgência que ocorre em Cabo Frio (RJ). Esses resultados serão de grande utilidade para estabelecer critérios para seleção de sementes para cultivo ao longo da costa do Brasil que permitirá o manejo adequado dos estoques ostreícolas, prevenindo seu desaparecimento como já ocorrido em outros recifes no mundo.

Current Approaches for Predicting a Lack of Response to Anti-EGFR Therapy in KRAS Wild-Type Patients

Targeting epidermal growth factor receptor (EGFR) has been one of the most effective colorectal cancer strategies. Anti-EGFR antibodies function by binding to the extracellular domain of EGFR, preventing its activation, and ultimately providing clinical benefit. KRAS mutations in codons 12 and 13 are recognized prognostic and predictive biomarkers that should be analyzed at the clinic prior to the administration of anti-EGFR therapy. However, still an important fraction of KRAS wild-type patients do not respond to the treatment. The identification of additional genetic determinants of primary or secondary resistance to EGFR targeted therapy for further improving the selection of patients is urgent. Herein, we review the latest published literature highlighting the most important genes that may predict resistance to anti-EGFR monoclonal antibodies in colorectal cancer patients. According to the available findings, the evaluation of BRAF, NRAS, PIK3CA, and PTEN status could be the right strategy to select patients who are likely to respond to anti-EGFR therapies. In the future, the combination of those biomarkers will help establish consensus that can be introduced into clinical practice.

Defining plausible migration rates based on historical tagging data: a Bayesian mark-recapture model applied to English sole (Parophrys vetulus)

A generalized Bayesian population dynamics model was developed for analysis of historical mark-recapture studies. The Bayesian approach builds upon existing maximum likelihood methods and is useful when substantial uncertainties exist in the data or little information is available about auxiliary parameters such as tag loss and reporting rates. Movement rates are obtained through Markov-chain Monte-Carlo (MCMC) simulation, which are suitable for use as input in subsequent stock assessment analysis. The mark-recapture model was applied to English sole (Parophrys vetulus) off the west coast of the United States and Canada and migration rates were estimated to be 2% per month to the north and 4% per month to the south. These posterior parameter distributions and the Bayesian framework for comparing hypotheses can guide fishery scientists in structuring the spatial and temporal complexity of future analyses of this kind. This approach could be easily generalized for application to other species and more data-rich fishery analyses.

A Bayesian method for identification of stock mixtures from molecular marker data

Molecular markers have been demonstrated to be useful for the estimation of stock mixture proportions where the origin of individuals is determined from baseline samples. Bayesian statistical methods are widely recognized as providing a preferable strategy for such analyses. In general, Bayesian estimation is based on standard latent class models using data augmentation through Markov chain Monte Carlo techniques. In this study, we introduce a novel approach based on recent developments in the estimation of genetic population structure. Our strategy combines analytical integration with stochastic optimization to identify stock mixtures. An important enhancement over previous methods is the possibility of appropriately handling data where only partial baseline sample information is available. We address the potential use of nonmolecular, auxiliary biological information in our Bayesian model.

Inferring Population Genetic Structure in Widely and Continuously Distributed Carnivores: The Stone Marten (Martes foina) as a Case Study

The stone marten is a widely distributed mustelid in the Palaearctic region that exhibits variable habitat preferences in different parts of its range. The species is a Holocene immigrant from southwest Asia which, according to fossil remains, followed the expansion of the Neolithic farming cultures into Europe and possibly colonized the Iberian Peninsula during the Early Neolithic (ca. 7,000 years BP). However, the population genetic structure and historical biogeography of this generalist carnivore remains essentially unknown. In this study we have combined mitochondrial DNA (mtDNA) sequencing (621 bp) and microsatellite genotyping (23 polymorphic markers) to infer the population genetic structure of the stone marten within the Iberian Peninsula. The mtDNA data revealed low haplotype and nucleotide diversities and a lack of phylogeographic structure, most likely due to a recent colonization of the Iberian Peninsula by a few mtDNA lineages during the Early Neolithic. The microsatellite data set was analysed with a) spatial and non-spatial Bayesian individual-based clustering (IBC) approaches (STRUCTURE, TESS, BAPS and GENELAND), and b) multivariate methods [discriminant analysis of principal components (DAPC) and spatial principal component analysis (sPCA)]. Additionally, because isolation by distance (IBD) is a common spatial genetic pattern in mobile and continuously distributed species and it may represent a challenge to the performance of the above methods, the microsatellite data set was tested for its presence. Overall, the genetic structure of the stone marten in the Iberian Peninsula was characterized by a NE-SW spatial pattern of IBD, and this may explain the observed disagreement between clustering solutions obtained by the different IBC methods. However, there was significant indication for contemporary genetic structuring, albeit weak, into at least three different subpopulations. The detected subdivision could be attributed to the influence of the rivers Ebro, Tagus and Guadiana, suggesting that main watercourses in the Iberian Peninsula may act as semi-permeable barriers to gene flow in stone martens. To our knowledge, this is the first phylogeographic and population genetic study of the species at a broad regional scale. We also wanted to make the case for the importance and benefits of using and comparing multiple different clustering and multivariate methods in spatial genetic analyses of mobile and continuously distributed species.

Approaches to national fish breeding programs: pointers from a tilapia pilot study

Details are given of a framework for developing breeding programmes using experience from the Genetic Improvement of Farmed Tilapias project which focussed on Nile tilapias (Oreochromis niloticus ). The following aspects are outlined: Analysis of targeted production and marketing systems; Breeding goals; Systematic documentation and evaluation of available genetic resources and choice and genetic base; Number of strains; Breeding strategy; Selection criteria and evaluation; Production and dissemination of improved strains; and, social, economic and environmental impacts.

Biochemical and morphometric approaches to characterize farmed tilapias

Biochemical (electrophoresis and mitochondrial DNA) and morphological analysis are important tools for the characterization of strains. Reference is made to studies conducted in the framework of the Genetic Improvement of Farmed Tilapias project to establish a new base tilapia population for culture purposes, describing the basic concepts of electrophoresis and morphometric analysis.