Search bioRxiv⌕ Search

bioRxiv · 10.1101/2022.01.27.478008

Characterization of Cyanobacterial Communities in Lakes Requires Consideration of Diurnal and Spatial Variation

Abstract

Continental-scale increases in aquatic system eutrophication are linked with increased cyanobacteria threats to recreational water use and drinking water resources globally. Increasing evidence suggests that diurnal vertical migration of cyanobacteria are key factors that must be considered in cyanobacterial bloom risk management. While this has been discussed in marine and eutrophic freshwater contexts, reports of diurnal vertical migration of cyanobacteria in oligotrophic freshwater lakes are scant. Typical monitoring protocols do not reflect these dynamics and frequently focus only on surface water sampling approaches, and either ignore sampling time or recommend large midday timeframes (e.g., 10AM-3PM), thereby preventing accurate characterization of cyanobacterial community dynamics. To evaluate the impact of diurnal migrations and water column stratification on cyanobacterial abundance and composition, communities were characterized in a shallow well-mixed lake interconnected to a thermally stratified lake in the Turkey Lakes Watershed (Ontario, Canada) using amplicon sequencing of the 16S rRNA gene across a multi-time point sampling series in 2018 and 2022. This work showed that cyanobacteria are present in oligotrophic lakes and their community structure varies (i) diurnally, (ii) across the depth of the water column, (iii) interannually within the same lake and (iv) between different lakes that are closely interconnected within the same watershed. It underscored the need for integrating multi-timepoint, multi-depth discrete sampling guidance into lake and reservoir monitoring programs to describe cyanobacteria community dynamics and signal change to inform risk management associated with the potential for cyanotoxin production. Ignoring variability in cyanobacterial community dynamics (such as that reported herein) and reducing sample numbers can lead to a false sense of security and missed opportunities to identify and mitigate changes in trophic status and associated risks such as toxin or taste and odor production, especially in sensitive, oligotrophic systems. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=122 SRC="FIGDIR/small/478008v2_ufig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@14ea7aorg.highwire.dtl.DTLVardef@12e0217org.highwire.dtl.DTLVardef@18b61beorg.highwire.dtl.DTLVardef@1be2fe6_HPS_FORMAT_FIGEXP M_FIG C_FIG Highlights{blacksquare} Cyanobacterial populations fluctuate sporadically across diurnal cycles {blacksquare}Cyanobacterial communities can vary significantly between interconnected lakes {blacksquare}Significant annual shifts in communities signal higher risk and need for monitoring {blacksquare}Cyanobacteria monitoring for risk management should incorporate time and depth

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Cameron, E. S., Emelko, M. B., Müller, K. M.. 2022-01-28. Characterization of Cyanobacterial Communities in Lakes Requires Consideration of Diurnal and Spatial Variation. https://doi.org/10.1101/2022.01.27.478008

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Invasion analysis for structured populations: analytical principles and numerical workflows

All real populations show some form of structure--differences among individuals, such as life stage or physiological condition, that shape a species' ability to persist. Yet it remains challenging to incorporate population structure into models of species interactions. We provide a general framework for studying competition in structured populations by quantifying species' invasion growth rates. The crux of our approach is separation of timescales: the initial dynamics of a structured population depend on how exactly it is introduced, but these transient differences do not affect long-term invasion success. Depending on the research question, the relevant long-term growth rate when rare may equivalently be derived using analytical separation of timescales, matrix population theory, or numerical simulations. Using case studies spanning developmental stage, environmental state, and infection status, we illustrate how our methodology derives simple, ecologically meaningful invasion conditions for a variety of systems. Finally, we extend the approach to fluctuating resident dynamics, showing how to use simulations or a general mathematical framework known as Floquet theory to correctly quantify invasion growth. By unifying the quantitative methods of population biology and community ecology, our framework will allow ecologists to study species persistence and coexistence across a greater variety of demographically complex systems.

ecology↗

Interspecific social contacts spread gut microbiota in wild rodent communities

Background: The mammalian gut microbiota influences a wide array of host phenotypes and varies substantially among individuals. Among conspecifics, microbiota composition is strongly shaped by microbial transmission through social interactions, yet the extent to which such transmission also occurs across species boundaries remains poorly understood. Here, we combine high-resolution tracking data collected over more than 10 months with gut microbiota profiling to examine social associations, space use, and microbiota similarity among individuals of three sympatric rodent species - wood mice (Apodemus sylvaticus), yellow-necked mice (A. flavicollis) and bank voles (Myodes glareolus), in two woodlands. By integrating multi-species social networks and spatial overlap with individual microbiota data, we test how both conspecific and interspecific interactions shape gut microbiota composition. Results: At both study sites, social associations strongly predicted microbiota similarity among conspecific individuals, whereas spatial proximity consistently predicted microbiota similarity among interspecific pairs. In addition, social associations between mice of different species predicted microbiota similarity, although this effect was weaker than that observed within species and was asymmetric, with evidence for stronger microbial transmission from wood mice to yellow-necked mice than vice versa. By focusing on species-indicative bacterial taxa, we further show that wood mice with more social connections to yellow-necked mice harboured a greater richness of gut bacteria typical of yellow-necked mice. Conclusions: Together, these results demonstrate that individual-level social behaviour can influence gut microbial transmission across species boundaries, particularly among closely related species with overlapping ecological niches. Interspecific social interactions may therefore represent an underappreciated pathway for the acquisition of novel gut symbionts in multi-species communities.

ecology↗

Energetic and functional development of soil food webs along secondary succession

1. As ecosystems develop, aboveground biomass and belowground organic matter accumulate, while energy turnover declines. This trend is largely supported by vegetation studies, but remains unexplored for soil food webs that channel the majority of energy in terrestrial ecosystems. 2. Here, we tested whether successional theory applies to soil food webs across size-based compartments, ranging from microfauna (nematodes) to macrofauna (soil arthropods and earthworms), along a secondary succession in southwestern China, using an energy-flux approach. To assess whether forest restoration by planting follows natural succession, we also compared spruce and larch plantations with secondary birch forest of the same successional stage. 3. Supporting expectations of reduced energy turnover, the results showed an increasing animal biomass-to-energy flux ratio and a functional shift from herbivory-dominated (green) to detritivory-dominated (brown) energy channelling along succession. Soil food web compartments showed contrasting trends: macro-food webs shifted towards bacterial energy channels with decreasing predation, while micro-food webs maintained similar bacterial/fungal energy flux ratios and tended towards increasing predation. The larch plantation supported lower animal biomass than the secondary birch forest, whereas the spruce plantation did not differ. We further found that energy flux correlated positively with microbial biomass and soil animal diversity, but negatively with litter biomass during succession. 4. Overall, we expand successional theory by revealing the transformations in energy use and pathways within soil food webs along secondary succession, thereby advancing understanding of ecosystem functioning and guiding ecosystem restoration. Our results further suggest that tree plantations do not necessarily replicate the belowground development of natural succession, which should be considered in ecosystem restoration.

ecology↗