Project description:In order to gain a better understanding of the impact of Vibrio parahaemolyticus infection on genetic regulation of Litopenaeus vannamei,we performed a miRNA-seq analysis in the hepatopancreas of Litopenaeus vannamei challenged with Vibrio parahaemolyticus, using the Illumina HiSeq 2500 platform.
Project description:In order to gain a better understanding of the impact of Vibrio parahaemolyticus infection on genetic regulation of Litopenaeus vannamei,we performed a transcriptome analysis in the hepatopancreas of Litopenaeus vannamei challenged with Vibrio parahaemolyticus, using the Illumina HiSeq 2500 platform.
Project description:RNA from different tissues of Litopenaeus vannamei was used to test the ability of the microarray to discriminate tissue-specific gene expression profiles Keywords: validation, tissue comparison
Project description:Polynucleobacter asymbioticus strain QLW-P1DMWA-1T represents a group of highly successful heterotrophic planktonic bacteria, dwelling in freshwater systems (lakes, ponds, and streams) across all climatic zones and across all continents. This includes habitats characterised by strongly fluctuating environmental conditions. So the experiments were designed to mimick winter and summer scenarios with additional impact of UV irradiation. Comparative transcriptomic studies were conducted to analyse gene-expression levels in contrasting experimental conditions. Overall, molecular candidates were revealed that may contribute in rapid acclimatisation of this strain in their immediate environment.
Project description:RNA from different tissues of Litopenaeus vannamei was used to test the ability of the microarray to discriminate tissue-specific gene expression profiles Keywords: validation, tissue comparison RNA from circulating hemocytes, gills, hepatopancreas, or muscle (3 biological replicates each) was hybridized to the L. vannamei microarray. The number of hybridizing genes was noted and the relationships among the global profiles in each sample were determined by cluster analysis