ABSTRACT: Optimisation of DNA-protein co-extraction from the thin microbial biofilm inhabiting marine plastic debris for meta-omics and comparative metaproteomics analysis.
Project description:Environmental meta-omics is rapidly expanding as sequencing capabilities improve, computing technologies become more accessible, and associated costs are reduced. The in situ snapshots of marine microbial life afforded by these data provide a growing knowledge of the functional roles of communities in ecosystem processes. Metaproteomics allows for the characterization of the dynamic proteome of a complex microbial community. It has the potential to reveal impacts of microbial metabolism on biogeochemical transport, storage and cycling (for example, Hawley et al., 2014), while additionally clarifying which taxonomic groups perform these roles. Previous work illuminated many of the important functions and interactions within marine microbial communities (for example, Morris et al., 2010), but a review of ocean metaproteomics literature revealed little standardization in bioinformatics pipelines for detecting peptides and inferring and annotating proteins. As prevalence of these data sets grows, there is a critical need to develop standardized approaches for mass spectrometry (MS) proteomic spectrum identification and annotation to maximize the scientific value of the data obtained. Here, we demonstrate that bioinformatics decisions made throughout the peptide identification process are as important for data interpretation as choices of sampling protocol and bacterial community manipulation experimental design. Our analysis offers a best practices guide for environmental metaproteomics.
2019-01-25 | PXD006688 | Pride
Project description:Biofilm formation and community succession on marine plastic debris
| PRJNA801434 | ENA
Project description:Plastisphere microbial community composition on marine plastic debris
Project description:To characterize the taxonomic and functional diversity of biofilms on plastics in marine environments, plastic pellets (PE and PS, ø 3mm) and wooden pellets (as organic control) were incubated at three stations: at the Baltic Sea coast in Heiligendamm (coast), in a dead branch of the river Warnow in Warnemünde (inlet), and in the Warnow estuary (estuary). After two weeks of incubation, all pellets were frozen for subsequent metagenome sequencing and metaproteomic analysis. Biofilm communities in the samples were compared on multiple levels: a) between the two plastic materials, b) between the individual incubation sites, and c) between the plastic materials and the wooden control. Using a semiquantitative approach, we established metaproteome profiles, which reflect the dominant taxonomic groups as well as abundant metabolic functions in the respective samples.
Project description:Sensitive models of climate change impacts would require a better integration of multi-omics approaches that connect the abundance and activity of microbial populations. Here, we show that climate is a fundamental driver of the protein abundance of microbial populations (metaproteomics), yet not their genomic abundance (16S rRNA gene amplicon sequencing), supporting the hypothesis that metabolic activity may be more closely linked to climate than community composition.
Project description:With the technological advances of the last decade, it is now feasible to analyze environmental samples of vast complexity, such as human stool specimen, using meta-omics techniques like metaproteomics. Still the most sophisticated, sensitive instruments can only extract information that a sample contains in the first place. This highlights the need for initial sample preparation to preserve as much unaltered information as possible. Yet little is known about the effects different processing approaches have on the final analysis results. This study analyzes human stool samples applying metaproteomics and shows that the initial sample storage has a massive effect on the taxonomic composition of proteins identified. The findings are backed up by the results of the metagenomics analysis of the same samples. This suggests, that great care should be taken in choosing storage conditions for (omics) studies, as well as in comparing the results of experiments with different initial processing.
Project description:Biodegradable plastics are one possible solution for reducing plastic waste, yet the mechanisms and organisms involved in their degradation in the aquatic environment remain understudied. In this study, we have enriched a microbial community from North Sea water and sediment, capable of growing on the polyester poly(butylene succinate). This culture was grown on two other biodegradable polyesters, polycaprolactone and ecovio® FT (a PBAT-based blended biodegradable plastic), and the differences between community structure and activity on these three polymers were determined by metagenomics and metaproteomics. We have seen that the plastic supplied drives the community structure and activity. Setups growing on ecovio® FT were more diverse, yet showed the lowest degradation, while poly(butylene succinate) and polycaprolactone resulted in a less diverse community but much higher degradation efficiencies. The dominating species were Alcanivorax sp., Thalassobius sp., or Pseudomonas sp., depending on the polymer supplied. Furthermore, we have observed that Gammaproteobacteria were more abundant and active within the biofilm and Alphaproteobacteria within the free-living fraction of the enrichments. Two of the three PETase-like enzymes isolated were expressed as tandems (Ple -tan1 &Ple – tan2) and all three were produced by Pseudomonas sp. Of those, Ple-tan1 was most active on all three substrates and also the most thermostable. Overall, we could show that all three plastics investigated can be mineralized by bacteria naturally occurring within the marine environment and characterize some of the enzymes involved in the degradation process.
2023-11-22 | PXD038098 | Pride
Project description:Microbial communities on plastic debris in the Mediterranean Sea
Project description:This set of metaproteomics data of the Gemran cockroach hindgut community and the host has been used to validate the gNOMO pipeline. This pipeline is designed to integrate multiple meta-omics data of non-model organisms.
Project description:In this study we characterize microbial community features on the surface of Indian Ocean. 11 samples were collected from Indian Ocean and subjected for quantitative metaproteomics analysis for taxonomic and functional analysis. Our results suggested that metabolic tuning at metaproteomics levels enabled microbial community to sustain stable when subjected to environmental perturbations in the oligotrophic ocean.