Fungal Communities Are Important Determinants of Bacterial Community Composition in Deadwood

0542361 - MBÚ 2022 RIV US eng J - Journal Article
Odriozola Larranga, Inaki - Abrego, N. - Tláskal, Vojtěch - Zrůstová, Petra - Morais, Daniel - Větrovský, Tomáš - Ovaskainen, O. - Baldrian, Petr
Fungal Communities Are Important Determinants of Bacterial Community Composition in Deadwood.
mSystems. Roč. 6, č. 1 (2021), č. článku e01017-20. ISSN 2379-5077. E-ISSN 2379-5077
R&D Projects: GA ČR(CZ) GA17-20110S; GA MŠMT(CZ) EF16_027/0007990
Institutional support: RVO:61388971
Keywords : biotic interactions * co-occurrence * cross-validation * conditional cross-validation * fungal-bacterial interactions * hmsc * joint species distribution modeling
OECD category: Microbiology
Impact factor: 7.328, year: 2021
Method of publishing: Open access
https://msystems.asm.org/content/6/1/e01017-20.abstract

Fungal-bacterial interactions play a key role in the functioning of many ecosystems. Thus, understanding their interactive dynamics is of central importance for gaining predictive knowledge on ecosystem functioning. However, it is challenging to disentangle the mechanisms behind species associations from observed co occurrence patterns, and little is known about the directionality of such interactions. Here, we applied joint species distribution modeling to high-throughput sequencing data on co-occurring fungal and bacterial communities in deadwood to ask whether fungal and bacterial co-occurrences result from shared habitat use (i.e., deadwood's properties) or whether there are fungal-bacterial interactive associations after habitat characteristics are taken into account. Moreover, we tested the hypothesis that the interactions are mainly modulated through fungal communities influencing bacterial communities. For that, we quantified how much the predictive power of the joint species distribution models for bacterial and fungal community improved when accounting for the other community. Our results show that fungi and bacteria form tight association networks (i.e., some species pairs co-occur more frequently and other species pairs co-occur less frequently than expected by chance) in deadwood that include common (or opposite) responses to the environment as well as (potentially) biotic interactions. Additionally, we show that information about the fungal occurrences and abundances increased the power to predict the bacterial abundances substantially, whereas information about the bacterial occurrences and abundances increased the power to predict the fungal abundances much less. Our results suggest that fungal communities may mainly affect bacteria in deadwood.
Permanent Link: http://hdl.handle.net/11104/0319785