981 resultados para molecular ecology


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For over half a century, it has been known that the rate of morphological evolution appears to vary with the time frame of measurement. Rates of microevolutionary change, measured between successive generations, were found to be far higher than rates of macroevolutionary change inferred from the fossil record. More recently, it has been suggested that rates of molecular evolution are also time dependent, with the estimated rate depending on the timescale of measurement. This followed surprising observations that estimates of mutation rates, obtained in studies of pedigrees and laboratory mutation-accumulation lines, exceeded long-term substitution rates by an order of magnitude or more. Although a range of studies have provided evidence for such a pattern, the hypothesis remains relatively contentious. Furthermore, there is ongoing discussion about the factors that can cause molecular rate estimates to be dependent on time. Here we present an overview of our current understanding of time-dependent rates. We provide a summary of the evidence for time-dependent rates in animals, bacteria and viruses. We review the various biological and methodological factors that can cause rates to be time dependent, including the effects of natural selection, calibration errors, model misspecification and other artefacts. We also describe the challenges in calibrating estimates of molecular rates, particularly on the intermediate timescales that are critical for an accurate characterization of time-dependent rates. This has important consequences for the use of molecular-clock methods to estimate timescales of recent evolutionary events.

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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.

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Over the past two decades, molecular techniques have been widely used in ecological study and molecular ecology has been one of the most important branches of ecology. Meanwhile, genetic fingerprinting analyses have significantly enhanced our knowledge of the diversity and evolutionary relations of the planktonic organisms. Compared with conventional approaches in ecological study (e. g. morphological classification), genetic fingerprinting techniques are simpler and much more effective. This review provides an overview of the principles, advantages and limitations of the commonly used DNA fingerprinting techniques in plankton research. The aim of this overview is to assess where we have been, where we are now and what the future holds for solving aquatic ecological problems with molecular-level information.

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Plant and animal biodiversity can be studied by obtaining DNA directly from the environment. This new approach in combination with the use of generic barcoding primers (metabarcoding) has been suggested as complementary or alternative to traditional biodiversity monitoring in ancient soil sediments. However, the extent to which metabarcoding truly reflects plant composition remains unclear, as does its power to identify species with no pollen or macrofossil evidence. Here, we compared pollen-based and metabarcoding approaches to explore the Holocene plant composition around two lakes in central Scandinavia. At one site, we also compared barcoding results with those obtained in earlier studies with species-specific primers. The pollen analyses revealed a larger number of taxa (46), of which the majority (78%) was not identified by metabarcoding. The metabarcoding identified 14 taxa (MTUs), but allowed identification to a lower taxonomical level. The combined analyses identified 52 taxa. The barcoding primers may favour amplification of certain taxa, as they did not detect taxa previously identified with species-specific primers. Taphonomy and selectiveness of the primers are likely the major factors influencing these results. We conclude that metabarcoding from lake sediments provides a complementary, but not an alternative, tool to pollen analysis for investigating past flora. In the absence of other fossil evidence, metabarcoding gives a local and important signal from the vegetation, but the resulting assemblages show limited capacity to detect all taxa, regardless of their abundance around the lake. We suggest that metabarcoding is followed by pollen analysis and the use of species-specific primers to provide the most comprehensive signal from the environment. © 2013 Blackwell Publishing Ltd.

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One of the most cost effective methods of pollution remediation is through natural attenuation where the resident microorganisms are responsible for the breakdown of pollutants (Dou et al. 2008). Other forms of bioremediation - such as analogue enrichment, composting and bio-venting - also use the microbes already present in a contaminated site to enhance the remediation process. In order for these approaches to be successful, in an industrial setting, some form of monitoring needs to take place enabling conclusions to be drawn about the degradation processes occurring. In this review we look at some key molecular biology techniques that have the potential to act as a monitoring tool for industries dealing with contaminated land. 

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Acknowledgements. This work was funded by Natural Environment Research Council Fellowship NE/J019151/1 and by institutional funding from within the University of Aberdeen.

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In this work we compare Grapholita molesta Busck (Lepidoptera: Tortricidae) populations originated from Brazil, Chile, Spain, Italy and Greece using power spectral density and phylogenetic analysis to detect any similarities between the population macro- and the molecular micro-level. Log-transformed population data were normalized and AR(p) models were developed to generate for each case population time series of equal lengths. The time-frequency/scale properties of the population data were further analyzed using wavelet analysis to detect any population dynamics frequency changes and cluster the populations. Based on the power spectral of each population time series and the hierarchical clustering schemes, populations originated from Southern America (Brazil and Chile) exhibit similar rhythmic properties and are both closer related with populations originated from Greece. Populations from Spain and especially Italy, have higher distance by terms of periodic changes on their population dynamics. Moreover, the members within the same cluster share similar spectral information, therefore they are supposed to participate in the same temporally regulated population process. On the contrary, the phylogenetic approach revealed a less structured pattern that bears indications of panmixia, as the two clusters contain individuals from both Europe and South America. This preliminary outcome will be further assessed by incorporating more individuals and likely employed a second molecular marker.