115 resultados para OTARIA-FLAVESCENS


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The A subunit of DNA gyrase in Mycobacterium leprae, unlike its counterpart in Mycobacterium tuberculosis, is produced by protein splicing as its gene, gyrA, harbors a 1260-bp in-frame insertion encoding an intein, a putative homing endonuclease. Analysis of the gyrA locus from different mycobacterial species revealed the presence of inteins in Mycobacterium flavescens, Mycobacterium gordonae and Mycobacterium kansasii but not in 10 other pathogenic or saprophytic mycobacteria. In all four cases where intein coding sequences were found, they were localized in the same position in gyrA, immediately downstream of the codon for the key active-site residue Tyr-130. The intein products were similar, but not identical, in sequence and the splice junctions displayed all the features found in other polypeptides known to be produced by protein splicing from a precursor protein. Paired motifs, found in homing endonucleases encoded by some group I RNA introns, and inteins showing endonuclease activity, were present in the gyrA inteins as were other intein-specific signatures. Some strains of M. flavescens, M. gordonae, and M. kansasii were shown by PCR analysis to have inteinless gyrA genes, in contrast to the situation in M. leprae where all the isolates possessed insertions in gyrA. Sequencing of the corresponding regions revealed that, although the GyrA protein sequence was conserved, the nucleotide sequences differed in gyrA genes with and without inteins, suggesting that the homing endonuclease displays sequence specificity.

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São reconhecidos 90 nomes específicos válidos de Crenicichla e oito de Teleocichla. Juntos, os dois gêneros-alvo do presente estudo compreendem quase 1/5 da diversidade total de Cichlinae, subfamília neotropical de Cichlidae. Apesar das espécies de Crenicichla e Teleocichla formarem um clado bem corroborado através de filogenias baseadas tanto em dados morfológicos quanto em dados moleculares, as relações entre as suas espécies foram ainda pouco estudadas. Os dois estudos filogenéticos de Crenicichla conhecidos são parcialmente discordantes entre si e incorporaram apenas uma parcela da diversidade do grupo. Baseados apenas em dados moleculares, não foram acompanhados por um estudo de caracteres morfológicos que indicariam as sinapomorfias ou características diagnósticas para identificação dos grupos monofiléticos delimitados. No presente estudo, os principais objetivos consistem em testar o monofiletismo do grupo formado pelas espécies de Crenicichla e Teleocichla e identificar e definir unidades monofiléticas dentro desse grupo, com base na análise cladística de caracteres morfológicos. Como objetivo secundário, são testadas as recentes hipóteses de relações filogenéticas dessas espécies com as demais espécies de ciclídeos neotropicais. Foram incluídas todas as espécies válidas de Teleocichla e 54 espécies válidas de Crenicichla (60% das espécies válidas), além de uma espécie nova de Teleocichla e cinco prováveis espécies novas de Crenicichla. 20 representantes de diferentes linhagens de Cichlinae foram incluídos, totalizando 88 táxons terminais. As análises cladísticas foram realizadas a partir de uma matriz com 211 caracteres provenientes do estudo comparado de morfologia externa, incluindo padrões de colorido e osteologia. Além da análise com pesagens igualitárias, foram explorados também os resultados das análises com pesagem implícita utilizando diferentes valores da variável k e com pesagem sucessiva. A partir da comparação e discussão dos resultados obtidos a partir das diferentes análises, a topologia obtida através da análise com pesagem implícita utilizando o valor de k=3 foi escolhida para obtenção das inferências filogenéticas. Duas classificações alternativas foram discutidas e, a fim de minimizar mudanças nomenclaturais, aquela baseada no reconhecimento de subgêneros de Crenicichla correspondendo aos grupos monofiléticos encontrados foi preferida em detrimento da proposta baseada no reconhecimento de vários gêneros. Isso porque o posicionamento de Crenicichla macrophthalma (espécie-tipo de Crenicichla) continua sendo considerado instável. O gênero Crenicichla é corroborado como um grande clado formado por todas as espécies de Crenicichla e Teleocichla incluídas e é sustentado por 40 sinapomorfias não-ambíguas. Um complexo cenário foi encontrado quanto às relações entre as espécies de Crenicichla, com várias linhagens dentro desse grande grupo, assim como era previsto de acordo com estudos filogenéticos prévios. As relações entre essas linhagens, por outro lado, são ainda instáveis, podendo variar de acordo com os diferentes tipos de pesagem aplicados e apresentam algumas divergências em relação aos estudos prévios, que também divergem entre si. Teleocichla é um grupo monofilético dentro de Crenicichla e foi considerado como um de seus oito subgêneros. O subgênero Crenicichla é constituído apenas por Crenicichla macrophthalma. Os seis subgêneros restantes (Wallaciia, Batrachops, Hemeraia, Saxatilia, Lugubria e Lacustria) correspondem totalmente ou parcialmente a grupos de espécies de Crenicichla previamente existentes na literatura. Em Lacustria, quatro complexos de espécies foram delimitados: C. missioneira, C. scotti, C. jaguarensis e C. lacustris sensu stricto. Foram listadas as espécies nominais de cada subgênero e uma diagnose para auxiliar a identificação dos mesmos foi elaborada. Uma nova hipótese de relações de Crenicichla em Cichlinae é inferida a partir da análise realizada, na qual Crenicichla é grupo-irmão de um clado formado por Chaetobranchus flavescens e todos os representantes de Cichlasomatini e Geophagini incluídos

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The metabolic rate of organisms may either be viewed as a basic property from which other vital rates and many ecological patterns emerge and that follows a universal allometric mass scaling law; or it may be considered a property of the organism that emerges as a result of the organism's adaptation to the environment, with consequently less universal mass scaling properties. Data on body mass, maximum ingestion and clearance rates, respiration rates and maximum growth rates of animals living in the ocean epipelagic were compiled from the literature, mainly from original papers but also from previous compilations by other authors. Data were read from tables or digitized from graphs. Only measurements made on individuals of know size, or groups of individuals of similar and known size were included. We show that clearance and respiration rates have life-form-dependent allometries that have similar scaling but different elevations, such that the mass-specific rates converge on a rather narrow size-independent range. In contrast, ingestion and growth rates follow a near-universal taxa-independent ~3/4 mass scaling power law. We argue that the declining mass-specific clearance rates with size within taxa is related to the inherent decrease in feeding efficiency of any particular feeding mode. The transitions between feeding mode and simultaneous transitions in clearance and respiration rates may then represent adaptations to the food environment and be the result of the optimization of tradeoffs that allow sufficient feeding and growth rates to balance mortality.

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This data set comprises time series of aboveground community plant biomass (Sown plant community, Weed plant community, Dead plant material, and Unidentified plant material; all measured in biomass as dry weight) and species-specific biomass from the sown species of several experiments at the field site of a large grassland biodiversity experiment (the Jena Experiment; see further details below). Aboveground community biomass was normally harvested twice a year just prior to mowing (during peak standing biomass twice a year, generally in May and August; in 2002 only once in September) on all experimental plots in the Jena Experiment. This was done by clipping the vegetation at 3 cm above ground in up to four rectangles of 0.2 x 0.5 m per large plot. The location of these rectangles was assigned by random selection of new coordinates every year within the core area of the plots. The positions of the rectangles within plots were identical for all plots. The harvested biomass was sorted into categories: individual species for the sown plant species, weed plant species (species not sown at the particular plot), detached dead plant material (i.e., dead plant material in the data file), and remaining plant material that could not be assigned to any category (i.e., unidentified plant material in the data file). All biomass was dried to constant weight (70°C, >= 48 h) and weighed. Sown plant community biomass was calculated as the sum of the biomass of the individual sown species. The data for individual samples and the mean over samples for the biomass measures on the community level are given. Overall, analyses of the community biomass data have identified species richness as well as functional group composition as important drivers of a positive biodiversity-productivity relationship. The following series of datasets are contained in this collection: 1. Plant biomass form the Main Experiment: In the Main Experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). 2. Plant biomass from the Dominance Experiment: In the Dominance Experiment, 206 grassland plots of 3.5 x 3.5 m were established from a pool of 9 species that can be dominant in semi-natural grassland communities of the study region. In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 3, 4, 6, and 9 species). 3. Plant biomass from the monoculture plots: In the monoculture plots the sown plant community contains only a single species per plot and this species is a different one for each plot. Which species has been sown in which plot is stated in the plot information table for monocultures (see further details below). The monoculture plots of 3.5 x 3.5 m were established for all of the 60 plant species of the Jena Experiment species pool with two replicates per species like the other experiments in May 2002. All plots were maintained by bi-annual weeding and mowing.

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This collection contains measurements of vegetation and soil surface cover measured on the plots of the different sub-experiments at the field site of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained by bi-annual weeding and mowing. The following series of datasets are contained in this collection: 1. Measurements of vegetation cover, i.e. the proportion of soil surface area that is covered by different categories of plants per estimated plot area. Data was collected on the plant community level (sown plant community, weed plant community, dead plant material, and bare ground) and on the level of individual plant species in case of the species that have been sown into the plots to create the gradient of plant diversity.

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This data set contains information on vegetation cover, i.e. the proportion of soil surface area that is covered by different categories of plants per estimated plot area. Data was collected on the plant community level (sown plant community, weed plant community, dead plant material, and bare ground) and on the level of individual plant species in case of the sown species. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained by bi-annual weeding and mowing. In 2009, vegetation cover was estimated twice in May and August just prior to mowing (during peak standing biomass) on all experimental plots of the Main Experiment. Cover was visually estimated in a central area of each plot 3 by 3 m in size (approximately 9 m²) using a decimal scale (Londo). Cover estimates for the individual species (and for target species + weeds + bare ground) can add up to more than 100% because the estimated categories represented a structure with potentially overlapping multiple layers. In 2009, in addition to the four community level cover estimates, cover of the moss layer was estimated.

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This data set contains information on vegetation cover, i.e. the proportion of soil surface area that is covered by different categories of plants per estimated plot area. Data was collected on the plant community level (sown plant community, weed plant community, dead plant material, and bare ground) and on the level of individual plant species in case of the sown species. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained by bi-annual weeding and mowing. In 2010, vegetation cover was estimated twice in May and August just prior to mowing (during peak standing biomass) on all experimental plots of the Main Experiment. Cover was visually estimated in a central area of each plot 3 by 3 m in size (approximately 9 m²) using a decimal scale (Londo). Cover estimates for the individual species (and for target species + weeds + bare ground) can add up to more than 100% because the estimated categories represented a structure with potentially overlapping multiple layers.

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This data set contains information on vegetation cover, i.e. the proportion of soil surface area that is covered by different categories of plants per estimated plot area. Data was collected on the plant community level (sown plant community, weed plant community, dead plant material, and bare ground) and on the level of individual plant species in case of the sown species. Data presented here is from the Main Experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained by bi-annual weeding and mowing. In 2013, vegetation cover was estimated twice in May and August just prior to mowing (during peak standing biomass) on all experimental plots of the Main Experiment. Cover was visually estimated in a central area of each plot 3 by 3 m in size (approximately 9 m²) using a decimal scale (Londo). Cover estimates for the individual species (and for target species + weeds + bare ground) can add up to more than 100% because the estimated categories represented a structure with potentially overlapping multiple layers.