Evidence map›Paper›PMID 37420292›Full record

ArticleEnvironmental microbiome2023

Integrative meta-omics in Galaxy and beyond.

Valerie C Schiml, Francesco Delogu, Praveen Kumar, Benoit Kunath, Bérénice Batut, Subina Mehta, James E Johnson, Björn Grüning, Phillip B Pope, Pratik D Jagtap and 2 more

Abstract read
In one paragraph

Article in Environmental microbiome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Valerie C SchimlFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences (NMBU), P.O. Box 5003, 1432, Ås, Norway.
Francesco DeloguFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences (NMBU), P.O. Box 5003, 1432, Ås, Norway.
Praveen KumarDepartment of Biochemistry, Biophysics and Molecular Biology, University of Minnesota, Minneapolis, MN, 55455, USA.
Benoit KunathFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences (NMBU), P.O. Box 5003, 1432, Ås, Norway.
Bérénice BatutBioinformatics Group, Department of Computer Science, University of Freiburg, Freiburg, Germany.
Subina MehtaDepartment of Biochemistry, Biophysics and Molecular Biology, University of Minnesota, Minneapolis, MN, 55455, USA.
James E JohnsonMinnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN, 55455, USA.
Björn GrüningBioinformatics Group, Department of Computer Science, University of Freiburg, Freiburg, Germany.
Phillip B PopeFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences (NMBU), P.O. Box 5003, 1432, Ås, Norway.
Pratik D JagtapDepartment of Biochemistry, Biophysics and Molecular Biology, University of Minnesota, Minneapolis, MN, 55455, USA.
Timothy J GriffinDepartment of Biochemistry, Biophysics and Molecular Biology, University of Minnesota, Minneapolis, MN, 55455, USA.
Magnus Ø ArntzenFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences (NMBU), P.O. Box 5003, 1432, Ås, Norway. magnus.arntzen@nmbu.no.

Funding

Bundesministerium für Bildung und Forschung 031 A538A/A538C RBCCollaborative Research Centre 992 Medical Epigenetics SFB 992/1 2012Norges Forskningsråd 295910Novo Nordisk Fonden NNF20OC0061313
6 · The paper itself

Abstract

background'Omics methods have empowered scientists to tackle the complexity of microbial communities on a scale not attainable before. Individually, omics analyses can provide great insight; while combined as "meta-omics", they enhance the understanding of which organisms occupy specific metabolic niches, how they interact, and how they utilize environmental nutrients. Here we present three integrative meta-omics workflows, developed in Galaxy, for enhanced analysis and integration of metagenomics, metatranscriptomics, and metaproteomics, combined with our newly developed web-application, ViMO (Visualizer for Meta-Omics) to analyse metabolisms in complex microbial communities.

resultsIn this study, we applied the workflows on a highly efficient cellulose-degrading minimal consortium enriched from a biogas reactor to analyse the key roles of uncultured microorganisms in complex biomass degradation processes. Metagenomic analysis recovered metagenome-assembled genomes (MAGs) for several constituent populations including Hungateiclostridium thermocellum, Thermoclostridium stercorarium and multiple heterogenic strains affiliated to Coprothermobacter proteolyticus. The metagenomics workflow was developed as two modules, one standard, and one optimized for improving the MAG quality in complex samples by implementing a combination of single- and co-assembly, and dereplication after binning. The exploration of the active pathways within the recovered MAGs can be visualized in ViMO, which also provides an overview of the MAG taxonomy and quality (contamination and completeness), and information about carbohydrate-active enzymes (CAZymes), as well as KEGG annotations and pathways, with counts and abundances at both mRNA and protein level. To achieve this, the metatranscriptomic reads and metaproteomic mass-spectrometry spectra are mapped onto predicted genes from the metagenome to analyse the functional potential of MAGs, as well as the actual expressed proteins and functions of the microbiome, all visualized in ViMO.

conclusionOur three workflows for integrative meta-omics in combination with ViMO presents a progression in the analysis of 'omics data, particularly within Galaxy, but also beyond. The optimized metagenomics workflow allows for detailed reconstruction of microbial community consisting of MAGs with high quality, and thus improves analyses of the metabolism of the microbiome, using the metatranscriptomics and metaproteomics workflows.

Indexed as

BioinformaticsGalaxyIntegrated meta-omicsMetagenomicsMetaproteomicsMetatrascriptomics

Identifiers

PMID37420292
PMCPMC10329324

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.