Publications

Reproducible Propagation of Species-Rich Soil Bacterial Communities Suggests Robust Underlying Deterministic Principles of Community Formation
Causevic, S., Tackmann, J., Sentchilo, V., von Mering, C., van der Meer, J. R. (2022).
https://doi.org/10.1128/msystems.00160-22
Meta-omics-aided isolation of an elusive anaerobic arsenic-methylating soil bacterium
Viacava, K., Qiao, J., Janowczyk, A., Poudel, S., Jacquemin, N., Lederballe Meibom, K., Shreshta, H. K., Reid, M. C., Hettich, R. L., Bernier-Latmani, R. (2022).
https://doi.org/10.1038/s41396-022-01220-z
Recent advances in microbial community analysis from machine learning of multiparametric flow cytometry data
Özel Duygan, B. D., van der Meer, J. R. (2022).
https://doi.org/10.1016/j.copbio.2022.102688
Environmental connectivity controls diversity in soil microbial communities
Dubey, M., Hadadi, N., Pelet, S., Carraro, N., Johnson, D. R., van der Meer, J. R. (2021).
doi: 10.1038/s42003-021-02023-2
Variability in arsenic methylation efficiency across aerobic and anaerobic microorganisms
Viacava, K., Lederballe Meibom, K., Ortega, D., Dyer, S., Gelb, A., Falquet, L., Minton, N.P., Mestrot, A., Bernier-Latmani (2020).
doi: 10.1021/acs.est.0c03908
Rapid detection of microbiota cell type diversity using machine-learned classification of flow cytometry data
Özel Duygan, B.D., Hadadi, N., Farizah Babu, A., Seyfried, M., van der Meer, J.R. (2020).
doi: 10.1038/s42003-020-1106-y