PXD014582
PXD014582 is an original dataset announced via ProteomeXchange.
Dataset Summary
Title | Impact of protein search database on metaproteomics outcomes |
Description | Unraveling the complex structure and functioning of microbial communities is essential to accurately predict the impact of perturbations and/or environmental changes. From all molecular tools available today to resolve the dynamics of microbial communities, metaproteomics stands out, allowing the establishment of phenotype-genotype linkages. Despite its rapid development, this technology has faced many technical challenges that still hamper its potential power. How to maximize the number of protein identification, improve quality of protein annotation and provide reliable ecological interpretation, are questions of immediate urgency. In our study, we used a robust metaproteomic workflow combining two protein fractionation approaches (gel-based versus gel-free) and four protein search databases derived from the same metagenome to analyze the same seawater sample. The resulting eight metaproteomes provided different outcomes in terms of (i) total protein numbers, (ii) taxonomic structures, and (iii) protein functions. The characterization and/or representativeness of numerous proteins from ecologically relevant taxa such as Pelagibacterales, Rhodobacterales and Synechococcales, as well as crucial environmental processes, such as nutrient uptake, nitrogen assimilation, light harvesting and oxidative stress response were found to be particularly affected by the methodology. Our results provide clear evidences that the use of different protein search databases significantly alters the biological conclusions in both gel-free and gel-based approaches. Our findings emphasize the importance of diversifying the experimental workflow for a comprehensive metaproteomic study. |
HostingRepository | iProX |
AnnounceDate | 2019-07-12 |
AnnouncementXML | Submission_2020-08-10_21:44:25.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Ageron |
SpeciesList | scientific name: marine metagenome; NCBI TaxID: 408172; |
ModificationList | No PTMs are included in the dataset |
Instrument | TripleTOF 5600 |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
---|---|---|---|
0 | 2019-07-12 00:54:05 | ID requested | |
1 | 2019-07-12 01:06:02 | announced | |
⏵ 2 | 2020-08-10 21:44:27 | announced | 2020-08-11: Update publication information |
Publication List
G, é, ron A, Werner J, Wattiez R, Lebaron P, Matallana-Surget S, Deciphering the Functioning of Microbial Communities: Shedding Light on the Critical Steps in Metaproteomics. Front Microbiol, 10():2395(2019) [pubmed] |
Keyword List
submitter keyword: Metaproteomics, Metagenomics, Bioinformatics, Mass Spectrometry, Microbial Ecology |
Contact List
S. Matallana-Surget | |
---|---|
contact affiliation | University of Stirling |
contact email | sabine.matallanasurget@stir.ac.uk |
lab head | |
Ageron | |
contact affiliation | University of Stirling |
contact email | a.f.geron@stir.ac.uk |
dataset submitter |
Full Dataset Link List
iProX dataset URI |