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.
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.
Project description:We applied metagenomic shotgun sequencing to investigate the effects of ZEA exposure on the change of mouse gut microbiota composition and function.
Project description:Zero-valent sulfur (ZVS) and thiosulfate are important intermediates in the biogeochemical cycle of sulfur. The former has been proved to be existed in the cold seep and hydrothermal systems. Three thiosulfate oxidation pathways are already identified and here we found a novel one in Erythrobacter, which was the first genus in the family Erythrobacteraceae that could accumulate ZVS during thiosulfate oxidation. Erythrobacter flavus 21-3 was isolated from the sediment of clod seep. Genomic analyses showed the typical genes encoding Sox multienzyme complex were absent in the genome of E. flavus 21-3. Through proteome and genome data, we identified a three gene involved pathway of thiosulfate oxidation, including thiosulfate dehydrogenase (tsdA), thiosulfohydrolase (soxB) and sulfur dioxygenases (sdo). For the first time, genetic operating system was constructed in Erythrobacter, and mutant strains ΔtsdA, ΔsoxB, ΔsdoA, ΔsdoB and ΔsdoAB were constructed. Stoichiometry was calculated and tetrathionate and ZVS were found to be the intermediates in this novel thiosulfate oxidation pathway. The diverse and distribution of these proteins were investigated and this novel thiosulfate oxidation pathway may exist in bacteria formerly ignored the function of ZVS production. The results give a powerful evidence for a new source of biogenetic ZVS in cold seep.
