Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1186/s40168-022-01423-8
Licence creative commons licence
Title (Primary) The community ecology perspective of omics data
Author Jurburg, S.D.; Buscot, F.; Chatzinotas, A.; Chaudhari, N.M.; Clark, A.T.; Garbowski, M.; Grenié, M.; Hom, E.F.Y.; Karakoç, C.; Marr, S.; Neumann, S.; Tarkka, M.; van Dam, N.M.; Weinhold, A.; Heintz-Buschart, A.
Source Titel Microbiome
Year 2022
Department UMB; BOOEK; iDiv
Volume 10
Page From art. 225
Language englisch
Topic T7 Bioeconomy
T5 Future Landscapes
Keywords Multivariate statistics; Molecular ecology; Community ecology
Abstract The measurement of uncharacterized pools of biological molecules through techniques such as metabarcoding, metagenomics, metatranscriptomics, metabolomics, and metaproteomics produces large, multivariate datasets. Analyses of these datasets have successfully been borrowed from community ecology to characterize the molecular diversity of samples (ɑ-diversity) and to assess how these profiles change in response to experimental treatments or across gradients (β-diversity). However, sample preparation and data collection methods generate biases and noise which confound molecular diversity estimates and require special attention. Here, we examine how technical biases and noise that are introduced into multivariate molecular data affect the estimation of the components of diversity (i.e., total number of different molecular species, or entities; total number of molecules; and the abundance distribution of molecular entities). We then explore under which conditions these biases affect the measurement of ɑ- and β-diversity and highlight how novel methods commonly used in community ecology can be adopted to improve the interpretation and integration of multivariate molecular data.
Persistent UFZ Identifier
Jurburg, S.D., Buscot, F., Chatzinotas, A., Chaudhari, N.M., Clark, A.T., Garbowski, M., Grenié, M., Hom, E.F.Y., Karakoç, C., Marr, S., Neumann, S., Tarkka, M., van Dam, N.M., Weinhold, A., Heintz-Buschart, A. (2022):
The community ecology perspective of omics data
Microbiome 10 , art. 225 10.1186/s40168-022-01423-8