Publication Details |
| Category | Text Publication |
| Reference Category | Journals |
| DOI | 10.1371/journal.pone.0173765 |
| Title (Primary) | Inferring interactions in complex microbial communities from nucleotide sequence data and environmental parameters |
| Author | Shang, Y.; Sikorski, J.; Bonkowski, M.; Fiore-Donno, A.-M.; Kandeler, E.; Marhan, S.; Boeddinghaus, R.S.; Solly, E.F.; Schrumpf, M.; Schöning, I.; Wubet, T.
; Buscot, F.; Overmann, J. |
| Source Titel | PLOS ONE |
| Year | 2017 |
| Department | BOOEK; iDiv |
| Volume | 12 |
| Issue | 3 |
| Page From | e0173765 |
| Language | englisch |
| UFZ wide themes | RU1 |
| Abstract | Interactions occur between two or more organisms affecting each other. Interactions are decisive for the ecology of the organisms. Without direct experimental evidence the analysis of interactions is difficult. Correlation analyses that are based on co-occurrences are often used to approximate interaction. Here, we present a new mathematical model to estimate the interaction strengths between taxa, based on changes in their relative abundances across environmental gradients. |
| Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=18581 |
| Shang, Y., Sikorski, J., Bonkowski, M., Fiore-Donno, A.-M., Kandeler, E., Marhan, S., Boeddinghaus, R.S., Solly, E.F., Schrumpf, M., Schöning, I., Wubet, T., Buscot, F., Overmann, J. (2017): Inferring interactions in complex microbial communities from nucleotide sequence data and environmental parameters PLOS One 12 (3), e0173765 10.1371/journal.pone.0173765 |
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