Journal of Microbiology

Journal Articles

Structure of bacterial and eukaryote communities reflect in situ controls on community assembly in a high-alpine lake: Eli Michael S. Gendron , John L. Darcy , Katherinia Hell , Steven K. Schmidt; J. Microbiol. 2019;57(10):852-864. Published online August 3, 2019; DOI: https://doi.org/10.1007/s12275-019-8668-8

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Recent work suggests that microbial community composition in high-elevation lakes is significantly influenced by microbes entering from upstream terrestrial and aquatic habitats. To test this idea, we conducted 18S and 16S rDNA surveys of microbial communities in a high-alpine lake in the Colorado Rocky Mountains. We compared the microbial community of the lake to water entering the lake and to uphill soils that drain into the lake. Utilizing hydrological and abiotic data, we identified potential factors controlling microbial diversity and community composition. Results show a diverse community entering the lake at the inlet with a strong resemblance to uphill terrestrial and aquatic communities. In contrast, the lake communities (water column and outlet) showed significantly lower diversity and were significantly different from the inlet communities. Assumptions of neutral community assembly poorly predicted community differences between the inlet and lake, whereas “variable selection” and “dispersal limitation” were predicted to dominate. Similarly, the lake communities were correlated with discharge rate, indicating that longer hydraulic residence times limit dispersal, allowing selective pressures within the lake to structure communities. Sulfate and inorganic nitrogen and phosphorus concentrations correlated with community composition, indicating “bottom up” controls on lake community assembly. Furthermore, bacterial community composition was correlated with both zooplankton density and eukaryotic community composition, indicating biotic controls such as “top-down” interactions also contribute to community assembly in the lake. Taken together, these community analyses suggest that deterministic biotic and abiotic selection within the lake coupled with dispersal limitation structures the microbial communities in Green Lake 4.

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Lakes-scale pattern of eukaryotic phytoplankton diversity and assembly process shaped by electrical conductivity in central Qinghai-Tibet Plateau
Huan Zhu, Xiong Xiong, Benwen Liu, Guoxiang Liu
FEMS Microbiology Ecology.2024;[Epub] CrossRef
Free-Living and Particle-Associated Microbial Communities of Lake Baikal Differ by Season and Nutrient Intake
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Crossing Treeline: Bacterioplankton Communities of Alpine and Subalpine Rocky Mountain Lakes
Kim Vincent, Hannah Holland-Moritz, Adam J. Solon, Eli M. S. Gendron, Steven K. Schmidt
Frontiers in Microbiology.2022;[Epub] CrossRef
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Qi Yan, Jianming Deng, Feng Wang, Yongqin Liu, Keshao Liu
Frontiers in Microbiology.2021;[Epub] CrossRef
Microbial community and abiotic effects on aquatic bacterial communities in north temperate lakes
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Evidence for phosphorus limitation in high-elevation unvegetated soils, Niwot Ridge, Colorado
Clifton P. Bueno de Mesquita, Laurel M. Brigham, Pacifica Sommers, Dorota L. Porazinska, Emily C. Farrer, John L. Darcy, Katharine N. Suding, Steven K. Schmidt
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Co-occurrence patterns between phytoplankton and bacterioplankton across the pelagic zone of Lake Baikal during spring: Ivan S. Mikhailov , Yuri S. Bukin , Yulia R. Zakharova , Marina V. Usoltseva , Yuri P. Galachyants , Maria V. Sakirko , Vadim V. Blinov , Yelena V. Likhoshway; J. Microbiol. 2019;57(4):252-262. Published online March 30, 2019; DOI: https://doi.org/10.1007/s12275-019-8531-y

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Abstract

Phytoplankton and bacterioplankton play a key role in carbon cycling of aquatic ecosystems. In this study, we found that co-occurrence patterns between different types of phytoplankton, bacterioplankton, and environmental parameters in Lake Baikal during spring were different over the course of three consecutive years. The composition of phytoplankton and bacterial communities was investigated using microscopy and 16S rRNA gene pyrosequencing, respectively. Non-metric multidimensional scaling (NMDS) revealed a relationship between the structure of phytoplankton and bacterial communities and temperature, location, and sampling year. Associations of bacteria with diatoms, green microalgae, chrysophyte, and cryptophyte were identified using microscopy. Cluster analysis revealed similar correlation patterns between phytoplankton abundance, number of attached bacteria, ratio of bacteria per phytoplankton cell and environmental parameters. Positive and negative correlations between different species of phytoplankton, heterotrophic bacteria and environmental parameters may indicate mutualistic or competitive relationships between microorganisms and their preferences to the environment.

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