Abstract
In many environments, toxic compounds restrict which microorganisms persist. However, in complex mixtures of inhibitory compounds, it is challenging to determine which specific compounds cause changes in abundance and prevent some microorganisms from growing. We focused on a contaminated aquifer in Oak Ridge, Tennessee, USA that has large gradients of pH and widely varying concentrations of uranium, nitrate, and many other inorganic ions. In the most contaminated wells, the microbial community is enriched in the Rhodanobacter genus. Rhodanobacter abundance is positively correlated with low pH and high concentrations of uranium and 13 other ions and we sought to determine which of these ions are selective pressures that favor the growth of Rhodanobacter over other taxa. Of these ions, low pH and high UO22+, Mn2+, Al3+, Cd2+, Zn2+, Co2+, and Ni2+ are both (a) selectively inhibitory of a Pseudomonas isolate from an uncontaminated well vs. a Rhodanobacter isolate from a contaminated well, and (b) reach toxic concentrations (for the Pseudomonas isolate) in the Rhodanobacter-dominated wells. We used mixtures of ions to simulate the groundwater conditions in the most contaminated wells and verified that few isolates aside from Rhodanobacter can tolerate these eight ions. These results clarify which ions are likely causal factors that impact the microbial community at this field site and are not merely correlated with taxonomic shifts. Furthermore, our general high-throughput approach can be applied to other environments, isolates, and conditions to systematically help identify selective pressures on microbial communities.
Highlights
IntroductionMicroorganisms survive within an n-dimensional biogeochemical space comprised of diverse nutrients and stressors [1]
Supplementary information The online version of this article contains supplementary material, which is available to authorized users.Microorganisms survive within an n-dimensional biogeochemical space comprised of diverse nutrients and stressors [1]
We found that low pH is significantly correlated (Spearman’s rank correlation, false discovery rate
Summary
Microorganisms survive within an n-dimensional biogeochemical space comprised of diverse nutrients and stressors [1]. While neutral effects such as drift, dispersal, and speciation influence microbial communities, selective pressures are the biogeochemical determinants that drive changes in microbial community composition based on variations in the relative fitness of microbial sub-populations [2]. Laboratory approaches to measure microbial fitness in biogeochemical gradients can be very useful to help identify likely selective pressures. Given the complexity of microbial ecosystems, high-throughput approaches are essential to evaluate the relative fitness of microbial sub-populations in multi-dimensional biogeochemical gradients [3]
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