Author

B. J. Kunath

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Microbiology· 7

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:metagenomics· 6 Approach:statistical model· 5 Organism:human· 4 Research Focus:cell type annotation· 3 Assay:proteomics· 3 Research Focus:benchmarking· 2 Research Focus:ecology & biodiversity· 2 Approach:experimental assay· 2

Frequent Co-Authors

P. May· 5 shared P. Wilmes· 5 shared R. Halder· 4 shared P. B. Pope· 3 shared C. C. Laczny· 2 shared F. Delogu· 2 shared L. de Nies· 2 shared L. H. Hagen· 2 shared

Activity by Year

2019-2022 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

5 shared papersMicrobiology

P. May

Mutual co-authors in cluster

Author profile →

7 papers

Recent·Most cited

Forecasting of a complex microbial community using meta-omics

F. Delogu, B. J. Kunath, P. Queiros, R. Halder, L. A. Lebrun, P. B. Pope, P. May, S. Widder, E. E. L. Muller, P. Wilmes

The paper forecasts microbial community dynamics in a wastewater treatment plant using longitudinal meta-omics data and temporal signals, achieving accurate predictions of gene abundance and expression.

bioRxiv · Oct 19, 2022 · PreprintMicrobiology

Alterations of oral microbiota and impact on the gut microbiome in type 1 diabetes mellitus revealed by multi-omic analysis

B. J. Kunath, O. Hickl, P. T. Queiros, C. Martin-Gallausiaux, L. Lebrun, R. Halder, C. C. Laczny, T. S. Schmidt, D. Becher, A. Heintz-Buschart, C. Debeaufort, P. Borg, P. May, P. Wilmes

This study identifies oral microbiota changes in T1DM linked to gut microbiome alterations through multi-omic analysis of saliva and stool samples.

bioRxiv · Feb 13, 2022 · PreprintMicrobiology

Mobilome-driven segregation of the resistome in biological wastewater treatment

L. de Nies, S. B. Busi, B. J. Kunath, P. May, P. Wilmes

The paper analyzes meta-omic data from a wastewater treatment plant to show how different antimicrobial resistance genes are disseminated via plasmids or phages, with some categories showing exclusive or primary dissemination routes.

bioRxiv · Nov 15, 2021Microbiology

The Food Additive Xanthan Gum Drives Adaptation of the Human Gut Microbiota

M. P. Ostrowski, S. Leanti La Rosa, B. J. Kunath, A. Robertson, G. Pereira, L. H. Hagen, N. J. Varghese, L. Qiu, T. Yao, G. Flint, J. Li, S. McDonald, D. Buttner, N. A. Pudlo, M. K. Schnizlein, , E. Martens

This study shows that xanthan gum, a common food additive, promotes the adaptation of the human gut microbiota by enabling a novel degradation pathway in an uncultured Ruminococcaceae bacterium and facilitating cross-feeding by Bacteroides species.

bioRxiv · Jun 2, 2021Microbiology

Synergistic effect of short- and long-read sequencing on functional meta-omics

V. Galata, S. B. Busi, B. J. Kunath, L. de Nies, M. Calusinska, R. Halder, P. May, P. Wilmes, C. C. Laczny

The paper evaluates short-read, long-read, and hybrid metagenomic assembly methods on complex samples and proposes a reference-independent approach using multi-omic integration for microbiome analysis.

bioRxiv · Apr 22, 2021Microbiology

Critical Assessment of Metaproteome Investigation (CAMPI): a Multi-Lab Comparison of Established Workflows

T. Van Den Bossche, B. J. Kunath, K. Schallert, S. S. Schäpe, P. E. Abraham, J. Armengaud, M. O. Arntzen, A. Bassignani, D. Benndorf, S. Fuchs, R. J. Giannone, T. J. Griffin, L. H. Hagen, R. Halder, C. Henry, , Marte

CAMPI evaluates metaproteomic workflows across labs, finding sample processing drives peptide variability while workflows yield similar functional profiles.

bioRxiv · Mar 5, 2021Microbiology

Integration of absolute multi-omics reveals translational and metabolic interplay in mixed-kingdom microbiomes.

F. Delogu, B. J. Kunath, M. O. Arntzen, T. R. Hvidsten, P. B. Pope

The paper integrates absolute multi-omics data to study metabolic and translational interactions in a mixed-kingdom microbiome, revealing population-specific transcriptome-proteome relationships.

bioRxiv · Nov 29, 2019 · PreprintMicrobiology