Project description:The leaf transcriptome of the nickel hyperaccumulator Geissois pruinosa (Rubiaceae) endemic from New Caledonia was compared to the closely related non-accumulator Geissois racemosa, living respectively in serpentine maquis or rainforest on limestone, to identity differentially expressed genes potentially involved in Ni hyperaccumulation.
Project description:Monitoring microbial communities can aid in understanding the state of these habitats. Environmental DNA (eDNA) techniques provide efficient and comprehensive monitoring by capturing broader diversity. Besides structural profiling, eDNA methods allow the study of functional profiles, encompassing the genes within the microbial community. In this study, three methodologies were compared for functional profiling of microbial communities in estuarine and coastal sites in the Bay of Biscay. The methodologies included inference from 16S metabarcoding data using Tax4Fun, GeoChip microarrays, and shotgun metagenomics.
Project description:The aim of this study was to investigate ecotypic adaptation in Holcus lanatus in plants selected from two widely contrasting habitats, acid bog (pH 3.5) or limestone quarry spoil (pH 7.5), using a transcriptome based analysis approach including sequence analysis of root associated Glomeromycota. Differential gene expression in root and shoot of naturally occurring H. lanatus ecotypes, selected from either habitat and grown in a full factorial reciprocal soil transplant experiment were investigated and ecotype specific SNPs identified.
Project description:Metaproteomic analysis offers critical insights into gut microbiome function; however, efficient microbial protein extraction from fecal samples remains challenging due to the complexity of different types of bacterial cell walls in the microbiome. In this study, we systematically compared three representative detergent-based lysis buffers (SDS_urea, DDM_urea, SDS_DDM_urea) for metaproteomics sample preparation. After multiple levels of analyses, we identified SDS_DDM_urea as the most efficient option for extracting diverse microbial proteins, peptides, and identifying microbial species. Applying this optimized method to samples from a dietary intervention study (Summer Harvest Adventure), we found minimal group-level microbial diversity shifts during this type of intervention, but substantial individual-specific variations reflected by metaproteomics results. Functional analyses also revealed microbial protein changes, especially proteins related to metabolic adaptations, including enhanced carbohydrate metabolism, amino acid biosynthesis, vitamin transport, and increased expression of membrane-associated proteins. Our results highlighted the personalized microbiome response to dietary interventions and underscored the importance of selecting appropriate protein extraction methods to accurately capture microbiome functional dynamics in microbiome analyses via metaproteomics.
2025-05-10 | PXD063844 |
Project description:Gut microbiota of Francois langurs living in a limestone forest in southwest Guangxi, China
| PRJNA596634 | ENA
Project description:Dietary DNA metabarcoding of spiders
