12 resultados para approximate membership extraction
em Plymouth Marine Science Electronic Archive (PlyMSEA)
Resumo:
The effect of different salinity levels on colonial growth and gonozooid frequency of the hydroid Campanularia flexuosa Hincks has been studied. It is shown that the usual cumulative presentation of growth data tends to obscure evidence of acclimation and other features of importance to an interpretation of adaptations of the growth process to salinity changes. A method of analysis is described that not only demonstrates acclimation, but apparently shows how growth is controlled after disturbance by changes in salinity. One other response to reduced salinity and other unfavourable changes in water chemistry is an increase in gonozooid frequency due to the diversion of resources from the formation of new hydranths.
Resumo:
Despite the ecological importance of copepods, few Next Generation Sequencing studies (NGS) have been performed on small crustaceans, and a standard method for RNA extraction is lacking. In this study, we compared three commonly-used methods: TRIzol®, Aurum Total RNA Mini Kit and Qiagen RNeasy Micro Kit, in combination with preservation reagents TRIzol® or RNAlater®, to obtain high-quality and quantity of RNA from copepods for NGS. Total RNA was extracted from the copepods Calanus helgolandicus, Centropages typicus and Temora stylifera and its quantity and quality were evaluated using NanoDrop, agarose gel electrophoresis and Agilent Bioanalyzer. Our results demonstrate that preservation of copepods in RNAlater® and extraction with Qiagen RNeasy Micro Kit were the optimal isolation method for high-quality and quantity of RNA for NGS studies of C. helgolandicus. Intriguingly, C. helgolandicus 28S rRNA is formed by two subunits that separate after heat-denaturation and migrate along with 18S rRNA. This unique property of protostome RNA has never been reported in copepods. Overall, our comparative study on RNA extraction protocols will help increase gene expression studies on copepods using high-throughput applications, such as RNA-Seq and microarrays.