» Articles » PMID: 39003240

Microeukaryote Community Coalescence Strengthens Community Stability and Elevates Diversity

Overview
Authors
Affiliations
Soon will be listed here.
Abstract

Mixing of entire microbial communities represents a frequent, yet understudied phenomenon. Here, we mimicked estuarine condition in a microcosm experiment by mixing a freshwater river community with a brackish sea community and assessed the effects of both environmental and community coalescences induced by varying mixing processes on microeukaryotic communities. Signs of shifted community composition of coalesced communities towards the sea parent community suggest asymmetrical community coalescence outcome, which, in addition, was generally less impacted by environmental coalescence. Community stability, inferred from community cohesion, differed among river and sea parent communities, and increased following coalescence treatments. Generally, community coalescence increased alpha diversity and promoted competition from the introduction (or emergence) of additional (or rare) species. These competitive interactions in turn had community stabilizing effect as evidenced by the increased proportion of negative cohesion. The fate of microeukaryotes was influenced by mixing ratios and frequencies (i.e. one-time versus repeated coalescence). Namely, diatoms were negatively impacted by coalescence, while fungi, ciliates, and cercozoans were promoted to varying extents, depending on the mixing ratios of the parent communities. Our study suggests that the predictability of coalescence outcomes was greater when the sea parent community dominated the final community, and this predictability was further enhanced when communities collided repeatedly.

References
1.
Yang Y, Banos S, Gerdts G, Wichels A, Reich M . Mycoplankton Biome Structure and Assemblage Processes Differ Along a Transect From the Elbe River Down to the River Plume and the Adjacent Marine Waters. Front Microbiol. 2021; 12:640469. PMC: 8102988. DOI: 10.3389/fmicb.2021.640469. View

2.
Sahlin K, Lim M, Prost S . NGSpeciesID: DNA barcode and amplicon consensus generation from long-read sequencing data. Ecol Evol. 2021; 11(3):1392-1398. PMC: 7863402. DOI: 10.1002/ece3.7146. View

3.
May R . Will a large complex system be stable?. Nature. 1972; 238(5364):413-4. DOI: 10.1038/238413a0. View

4.
Coyte K, Schluter J, Foster K . The ecology of the microbiome: Networks, competition, and stability. Science. 2015; 350(6261):663-6. DOI: 10.1126/science.aad2602. View

5.
Szekely A, Berga M, Langenheder S . Mechanisms determining the fate of dispersed bacterial communities in new environments. ISME J. 2012; 7(1):61-71. PMC: 3526183. DOI: 10.1038/ismej.2012.80. View