Challenges and promise at the interface of metaproteomics and genomics: an overview of recent progress in metaproteogenomic data analysis

Introduction: The study of microbial communities based on the combined analysis of genomic and proteomic data – called metaproteogenomics – has gained increased research attention in recent years. This relatively young field aims to elucidate the functional and taxonomic interplay of proteins in microbiomes and its implications on human health and the environment.

Areas covered: This article reviews bioinformatics methods and software tools dedicated to the analysis of data from metaproteomics and metaproteogenomics experiments. In particular, it focuses on the creation of tailored protein sequence databases, on the optimal use of database search algorithms including methods of error rate estimation, and finally on taxonomic and functional annotation of peptide and protein identifications.

Expert opinion: Recently, various promising strategies and software tools have been proposed for handling typical data analysis issues in metaproteomics. However, severe challenges remain that are highlighted and discussed in this article; these include: (i) robust false-positive assessment of peptide and protein identifications, (ii) complex protein inference against a background of highly redundant data, (iii) taxonomic and functional post-processing of identification data, and finally, (iv) the assessment and provision of metrics and tools for quantitative analysis.     

Emerging high-throughput approaches to analyze bioremediation of sites contaminated with hazardous and/or recalcitrant wastes

Sustainable development requires the promotion of environmental management and a constant search for new technologies to treat a wide range of aquatic and terrestrial habitats contaminated by increasing anthropogenic activities. Bioremediation, i.e. the elimination of natural or xenobiotic pollutants by living organisms, is an environmentally friendly and cost-effective alternative to physico-chemical cleanup options. However, the strategy and outcome of bioremediation in open systems or confined environments depend on a variety of physico-chemical and biological factors that need to be assessed and monitored. In particular, microorganisms are key players in bioremediation applications, yet their catabolic potential and their dynamics in situ remain poorly characterized. To perform a comprehensive assessment of the biodegradative potential of a contaminated site and efficiently monitor changes in the structure and activities of microbial communities involved in bioremediation processes, sensitive, fast and large-scale methods are needed. Over the last few years, the scientific literature has revealed the progressive emergence of genomic high-throughput technologies in environmental microbiology and biotechnology. In this review, we discuss various high--throughput techniques and their possible--or already demonstrated-application to assess biotreatment of contaminated environments.     

宏组学方法在污水处理系统中的应用进展

污水生物处理由微生物生理过程驱动,宏组学方法能够获得不同水平的分子信息,为认识污水处理系统中的微生物提供了新途径。本文对宏基因组学、宏转录组学、宏蛋白质组学与代谢组学等宏组学方法的发展进行综述,着重介绍各组学及整合宏组学在污水处理系统中的研究现状,并指出其应用前景。     

Proteomics in environmental and technical microbiology

Nowadays, the field of proteomics encompasses various techniques for the analysis of the entirety of proteins in biological samples. Not only 2D electrophoresis as the primary method, but also MS‐based workflows and bioinformatic tools are being increasingly applied. In particular, research in microbiology was significantly influenced by proteomics during the last few decades. Hence, this review presents results of proteomic studies carried out in areas, such as fundamental microbiological research and biotechnology. In addition, the emerging field of metaproteomics is addressed because high‐throughput genome sequencing and high‐performance MS facilitate the access to such complex samples from microbial communities as found in sludge from wastewater treatment plants and biogas plants. Both current technical limitations and new concepts in this growing and important area are discussed. Moreover, it was convincingly shown that future prospective applications of proteomics in technical and environmental microbiology might also be closely connected with other Omics approaches as well as bioinformatics for systems biology studies.     

Isolation of cellulolytic enzymes from moldy silage by new culture-independent strategy

A culture-independent strategy has been developed for investigation of cellulases in moldy silage. By the qualitative differences in the adsorption of cellulases on lingo-cellulosics, a new cellobiohydrolase (CBH) with apparent molecular mass of 194 kDa was isolated and characterized. The entire extracellular proteins of silage were separated by two-dimensional gel electrophoresis, and five potential endoglucanases were identified by activity staining. These results demonstrate the feasibility of direct screening cellulases from environment without microorganism cultivation and this strategy could be expected to facilitate the research of uncultured microorganisms.     

Deep metaproteomic analysis of human salivary supernatant

The human salivary proteome is extremely complex, including proteins from salivary glands, serum, and oral microbes. Much has been learned about the host component, but little is known about the microbial component. Here we report a metaproteomic analysis of salivary supernatant pooled from six healthy subjects. For deep interrogation of the salivary proteome, we combined protein dynamic range compression (DRC), multidimensional peptide fractionation, and high-mass accuracy MS/MS with a novel two-step peptide identification method using a database of human proteins plus those translated from oral microbe genomes. Peptides were identified from 124 microbial species as well as uncultured phylotypes such as TM7. Streptococcus, Rothia, Actinomyces, Prevotella, Neisseria, Veilonella, Lactobacillus, Selenomonas, Pseudomonas, Staphylococcus, and Campylobacter were abundant among the 65 genera from 12 phyla represented. Taxonomic diversity in our study was broadly consistent with metagenomic studies of saliva. Proteins mapped to 20 KEGG pathways, with carbohydrate metabolism, amino acid metabolism, energy metabolism, translation, membrane transport, and signal transduction most represented. The communities sampled appear to be actively engaged in glycolysis and protein synthesis. This first deep metaproteomic catalog from human salivary supernatant provides a baseline for future studies of shifts in microbial diversity and protein activities potentially associated with oral disease.     

Model Organisms Proteomics—From Holobionts to Human Nutrition

Model organisms are an important tool for the development and validation of analytical approaches for proteomics and for the study of basic mechanisms of biological processes. The Initiative on Model Organism Proteomics (iMOP) organized a session during the 11th HUPO world congress in Boston in 2012, highlighting the potential of proteomics studies in model organism for the elucidation of important mechanisms regulating the interaction of humans with its environment. Major subjects were the use of model organisms for the study of molecular events triggering the interaction of host organisms with the surrounding microbiota and the elucidation of the complex influence of nutrition on the health of human beings.     

用于分析微生物种类组成的微生物生态学研究方法

对环境中微生物群落进行分析对于理解该环境中各类微生物的功能具有重要意义,因此日益受到重视。用于环境中微生物群落分析的方法很多,将简要介绍基于PCR的研究方法,原位杂交技术,基因芯片技术,宏蛋白质组学技术等研究方法的原理、应用及其优缺点。     

Metaproteomic data analysis at a glance: advances in computational microbial community proteomics

Introduction: Within the last decade, the study of microbial communities has gained increasing research interest also driven by the recognition of the important role of these consortia in human health and disease. Metaproteomics, the analysis of the entire set of proteins from all microorganisms present in one ecosystem, has become a prominent technique for studying the relation between taxonomic diversity and functional profile of microbial communities.

Areas covered: The aim of this review is to address opportunities and challenges of metaproteomics from a computational perspective. Appealing to an audience of microbial ecologists and proteomic researchers alike, we provide an overview on state-of-the-art software and databases by which metaproteome data can be readily analyzed.

Expert commentary: While tailored protein databases, combined search algorithms and iterative workflows are means to improve the identification yield, software tools for taxonomic and functional analysis are challenged by the vast amount of unannotated sequences in metaproteomics.