Coordinated Metacommunity Assembly and Spatial Distribution of Multiple Microbial Kingdoms within a Lake
Freshwater planktonic communities comprise a tremendous diversity of microorganisms. This study investigated the distribution patterns of microbial kingdoms (bacteria, fungi, protists, and microbial metazoans) within a lake ecosystem. Water samples were collected from 50 sites along the shoreline in a lake during an early eutrophication period, and MiSeq sequencing was performed with different marker genes. Metacommunity analyses revealed a bimodal occupancy-frequency distribution and a Clementsian gradient persisting throughout all microbial kingdoms, suggesting similar regional processes in all kingdoms. Variation partitioning revealed that environmental characteristics, macrophyte/macroinvertebrate composition, space coordinates, and distance-based Moran’s eigenvector maps (dbMEM) together could explain up to 29% of the community variances in microbial kingdoms. Kingdom synchrony results showed strong couplings between kingdoms (R2 ≥ 0.31), except between Fungi and Metazoa (R2 = 0.09). Another variation partitioning revealed that microbial kingdoms could well explain their community variances up to 73%. Interestingly, the kingdom Protista was best synchronized with the other kingdoms. A correlation network showed that positive associations between kingdoms outnumbered the negative ones and that the kingdom Protista acted as a hub among kingdoms. Module analysis showed that network modules included multi-kingdom associations that were prevalent. Our findings suggest that protists coordinate community assembly and distribution of other kingdoms, and inter-kingdom interactions are a key determinant in shaping their community structures in a freshwater lake.
KeywordsPlanktonic community Spatial dynamics Microbial kingdoms Freshwater lake Microbial network
This study was supported by the basic science research program through the National Research Foundation of Korea funded by the Ministry of Education (2018R1D1A1B07048872).
Compliance with Ethical Standards
Conflict of Interest
The authors declare that they have no conflict of interest.
- 16.Montagna M, Berruti A, Bianciotto V, Cremonesi P, Giannico R, Gusmeroli F, Lumini E, Pierce S, Pizzi F, Turri F (2018) Differential biodiversity responses between kingdoms (plants, fungi, bacteria and metazoa) along an Alpine succession gradient. Mol Ecol 27:3671–3685. https://doi.org/10.1111/mec.14817 CrossRefPubMedGoogle Scholar
- 21.Muylaert K, Van der Gucht K, Vloemans N, De Meester L, Gillis M, Vyverman W (2002) Relationship between bacterial community composition and bottom-up versus top-down variables in four eutrophic shallow lakes. Appl Environ Microbiol 68:4740–4750. https://doi.org/10.1128/AEM.68.10.4740-4750.2002 CrossRefPubMedPubMedCentralGoogle Scholar
- 26.APHA (1992) Standard methods for the examination of water and wastewater. American Public Health Association, Washington, DCGoogle Scholar
- 33.Lindh MV, Sjöstedt J, Ekstam B, Casini M, Lundin D, Hugerth LW, Hu YOO, Andersson AF, Andersson A, Legrand C, Pinhassi J (2017) Metapopulation theory identifies biogeographical patterns among core and satellite marine bacteria scaling from tens to thousands of kilometers. Environ Microbiol 19:1222–1236. https://doi.org/10.1111/1462-2920.13650 CrossRefPubMedGoogle Scholar
- 45.Michaud L, Caruso C, Mangano S, Interdonato F, Bruni V, Lo Giudice A (2012) Predominance of Flavobacterium, Pseudomonas, and Polaromonas within the prokaryotic community of freshwater shallow lakes in the northern Victoria Land, East Antarctica. FEMS Microbiol Ecol 82:391–404. https://doi.org/10.1111/j.1574-6941.2012.01394.x CrossRefPubMedGoogle Scholar