Project description:The identification of significantly differently expressed miRNAs expanded the repertoire of sheep miRNAs and could contribute to further studies on the molecular mechanism of estrous sheep in the non-breeding season under the different levels of nutrition.

2017-05-18 | GSE81619 | GEO

Microbiota composition of a typical sardinian cheese Gioddu

Project description:Microbiota composition of a typical sardinian cheese Gioddu

| PRJNA558209 | ENA

Gut microbiome of Sardinian centenarians

Project description:A cross-sectional study of compositional and functional profiles of gut microbiota in Sardinian centenarians

| PRJEB25514 | ENA

Plant breeding involving genetic engineering does not result in unacceptable unintended effects in rice relative to conventional cross-breeding

Project description:Advancements in -omics techniques provide powerful tools to assess potential effects in composition of a plant at the RNA, protein and metabolite levels. These technologies can thus be deployed to assess whether genetic engineering causes changes in plants that go beyond the changes introduced by conventionally plant breeding. Here, we compare the extent of transcriptome and metabolome modification occurring in leaves of four GE rice lines expressing Bacillus thuringiensis (Bt) genes that developed by genetic engineering and seven rice lines developed by conventional cross-breeding. The results showed that both types of crop breeding methods can bring changes at transcriptomic and metabolic levels, but the differences were comparable between the two methods, and were less than those between conventional non-GE lines. Metabolome profiling analysis found several new metabolites in GE rice lines when compared to the closest non-GE parental lines, but these compounds were also found in several of the conventionally bred rice lines. Functional analyses suggest that the differentially expressed genes and metabolites caused by both genetic engineering and conventional cross-breeding do not involve detrimental metabolic pathways. The study successfully employed RNA-sequencing and HPLC-MS technology to assess the unintended changes in new rice varieties, and the results suggest that genetic engineering does not cause unintended effects that go beyond conventional cross-breeding in rice.

2020-10-01 | GSE152572 | GEO

Amazonian birds

Project description:40 species of Amazonian birds from floodplain and upland forests Raw sequence reads

| PRJNA389814 | ENA