The impact ofmicrobial communities, also known as themicrobiome, on human health and the environment is receiving increased attention. Studying translated gene products (proteins) and comparing metaproteomic profiles may elucidate how microbiomes respond to specific environmental stimuli, and interact with host organisms. Characterizing proteins expressed by a complex microbiome and interpreting their functional signature requires sophisticated informatics tools and workflows tailored to metaproteomics. Additionally, there is a need to disseminate these informatics resources to researchers undertaking metaproteomic studies, who could use them to make new and important discoveries in microbiome research. The Galaxy for proteomics platform (Galaxy-P) offers an open source, web-based bioinformatics platform for disseminating metaproteomics software and workflows. Within this platform, we have developed easily-accessible and documented metaproteomic software tools and workflows aimed at training researchers in their operation and disseminating the tools for more widespread use. The modular workflows encompass the core requirements of metaproteomic informatics: (a) database generation; (b) peptide spectral matching; (c) taxonomic analysis and (d) functional analysis. Much of the software available via the Galaxy-P platform was selected, packaged and deployed through an online metaproteomics "Contribution Fest" undertaken by a unique consortium of expert software developers and users from the metaproteomics research community, who have co-authored this manuscript. These resources are documented on GitHub and freely available through the Galaxy Toolshed, as well as a publicly accessible metaproteomics gateway Galaxy instance. These documented workflows are well suited for the training of novice metaproteomics researchers, through online resources such as the Galaxy Training Network, as well as hands-on training workshops. Here, we describe the metaproteomics tools available within these Galaxy-based resources, as well as the process by which they were selected and implemented in our community-based work. We hope this description will increase access to and utilization of metaproteomics tools, as well as offer a framework for continued community-based development and dissemination of cutting edge metaproteomics software.
Bibliographical noteFunding Information:
This work is supported by grants from the NSF award 1458524 and NIH award U24CA199347 to T.J. Griffin and the core Galaxy-P research team. BLN and DM were supported by NSF grant OCE-1633939. The authors would also like to thank Intergalactic Utilities Commission (https://galaxyproject.org/iuc/) for encouraging and supporting the contribution fest. We would also like to thank the organizers of Association of Biomolecular Research Facilities (ABRF), American Society of Mass Spectrometry (ASMS), Galaxy Community Conference (GCC), and International Metaproteomics Symposium (IMS) for providing us a platform for conducting workshops and facilitating interesting discussions during the conferences.
- Community development
- Functional microbiome
- Galaxy platform
- Mass spectrometry
- Software workflow development