Project description:In order to understand the mechanisms of Nitrogen induced susceptibility (NIS) we’ve conducted a dual RNAseq experiment on rice infected tissues by Magnaporthe oryzae. At 0 day post inoculation and 2 days post inoculation tissues have been collected on mock inoculated and M. oryzae inoculated plants. Rice were conducted under two type of nitrogen fertilization: 0N all fertilization but nitrogen, 1N all fertilization and NH4NO3. The fertilization was applied one day before inoculation. RNAseq was conducted both on rice and fungal RNA.
2016-10-31 | GSE83219 | GEO
Project description:Nitrogen Fertilization and Mycorrhiza
Project description:Comparison of the transcriptome profiles of a widely commercialized maize variety (Helen) at two levels of nitrogen fertilization. Conventional nitrogen fertilization compared to not nitrogen fertilization during the season.
Project description:Comparison of the transcriptome profiles of a widely commercialized MON810 maize variety (HelenBt) at two levels of nitrogen fertilization. Variety Helen Bt; obtained by Advanta; authorized the 11/08/2005; now commercialized by Limagrain Iberica. Conventional nitrogen fertilization compared to not nitrogen fertilization during the season.
Project description:Next-Generation-Sequencing (NGS) technologies have led to important improvement in the detection of new or unrecognized infective agents, related to infectious diseases. In this context, NGS high-throughput technology can be used to achieve a comprehensive and unbiased sequencing of the nucleic acids present in a clinical sample (i.e. tissues). Metagenomic shotgun sequencing has emerged as powerful high-throughput approaches to analyze and survey microbial composition in the field of infectious diseases. By directly sequencing millions of nucleic acid molecules in a sample and matching the sequences to those available in databases, pathogens of an infectious disease can be inferred. Despite the large amount of metagenomic shotgun data produced, there is a lack of a comprehensive and easy-use pipeline for data analysis that avoid annoying and complicated bioinformatics steps. Here we present HOME-BIO, a modular and exhaustive pipeline for analysis of biological entity estimation, specific designed for shotgun sequenced clinical samples. HOME-BIO analysis provides comprehensive taxonomy classification by querying different source database and carry out main steps in metagenomic investigation. HOME-BIO is a powerful tool in the hand of biologist without computational experience, which are focused on metagenomic analysis. Its easy-to-use intrinsic characteristic allows users to simply import raw sequenced reads file and obtain taxonomy profile of their samples.
