Mind the gaps: What do we know about how multiple chemical stressors impact freshwater aquatic microbiomes?

Bani, Aïda; Randall, Kate C.; Clark, Dave R.; Gregson, Benjamin H.; Henderson, Drew K.; Losty, Erin C.; Ferguson, Robert

doi:10.1016/bs.aecr.2022.09.003

Cited by 4 publications

(7 citation statements)

References 159 publications

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“…In this manuscript, we have moved away from the traditional reliance on a few model bacteria, to instead consider environmental bacteria naive to chemical stress. We tested the effects of an array of pollutants which are known to enter freshwater environments and have been identified as key targets for microbial studies (Bani et al, 2022). Our results are therefore tractable to real world concerns.…”

Section: Discussionmentioning

confidence: 99%

“…We built stressor mixtures from eight chemicals representing a range of classes of pollutants which are known for their prevalence in freshwater environments (Bani et al, 2022) (Table 3). These pollutants represent four major groups of stressors targeting different components of freshwater ecosystems, and have been identified as key targets for microbial studies (Bani et al, 2022). As the effects of pollutants on non-target groups are often overlooked in freshwater ecology, bacterial EC 50 (half maximal effective concentration) data is generally not available for the non-antibiotic chemicals used here.…”

Section: Methodsmentioning

confidence: 99%

Section: Chemical Treatmentsmentioning

confidence: 99%

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Bacterial responses to complex mixtures of chemical pollutants

Smith

Clegg

Ransome

et al. 2023

Preprint

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Our understanding of how microbes respond to pollutants is almost wholly based on single-species responses to individual chemicals. However, in natural environments, microbes experience the effects of multiple pollutants simultaneously, and their responses to these mixtures of chemicals may not be readily predictable based on their responses to each pollutant in isolation. Here we extended the scope and complexity of previous multi-stressor experiments by assaying the growth of model and non-model strains of bacteria in all 255 combinations of 8 chemical stressors. This approach allowed us to identify fitness effects arising from potential high-order interactions among stressor responses. We found that the bacterial strains responded in different ways to stressor mixtures, which could not be predicted simply from their phylogenetic relatedness. Responses to increasingly complex chemical mixtures were more likely to show a significant deviation from a null model based on the responses to each chemical alone. However, these net responses were mainly driven by lower-order interactions among a small number of chemicals, suggesting a limited role for complex high-order interactions. These results simplify the predictability of microbial populations and communities responding to multiple stressors, paving the way for the development of efficient next-generation eco-toxicological assays.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Chemical Treatmentsmentioning

confidence: 99%

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Bacterial responses to complex mixtures of chemical pollutants

Smith

Clegg

Ransome

et al. 2023

Preprint

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“…As with any other method, it may not work, or when it does, it might not provide the requisite information. Challenges relating to imperfect detection, quantifying abundance, assigning taxonomies, understanding the spatial and temporal dynamics of eDNA, analyzing and interpreting data, and assessing ecological conditions have all proven to be significant hurdles [279,317]. These challenges and limitations of eDNA metabarcoding have been the subject of various biodiversity and monitoring studies [314,318,319].…”

Section: Edna Metabarcodingmentioning

confidence: 99%

Insights in Pharmaceutical Pollution: The Prospective Role of eDNA Metabarcoding

Papaioannou,

Geladakis,

Kommata

et al. 2023

Toxics

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Environmental pollution is a growing threat to natural ecosystems and one of the world’s most pressing concerns. The increasing worldwide use of pharmaceuticals has elevated their status as significant emerging contaminants. Pharmaceuticals enter aquatic environments through multiple pathways related to anthropogenic activity. Their high consumption, insufficient waste treatment, and the incapacity of organisms to completely metabolize them contribute to their accumulation in aquatic environments, posing a threat to all life forms. Various analytical methods have been used to quantify pharmaceuticals. Biotechnology advancements based on next-generation sequencing (NGS) techniques, like eDNA metabarcoding, have enabled the development of new methods for assessing and monitoring the ecotoxicological effects of pharmaceuticals. eDNA metabarcoding is a valuable biomonitoring tool for pharmaceutical pollution because it (a) provides an efficient method to assess and predict pollution status, (b) identifies pollution sources, (c) tracks changes in pharmaceutical pollution levels over time, (d) assesses the ecological impact of pharmaceutical pollution, (e) helps prioritize cleanup and mitigation efforts, and (f) offers insights into the diversity and composition of microbial and other bioindicator communities. This review highlights the issue of aquatic pharmaceutical pollution while emphasizing the importance of using modern NGS-based biomonitoring actions to assess its environmental effects more consistently and effectively.

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“…venlafaxine (antidepressant), acidification and warming increased stress severity in juvenile Argyrosomus regius tissues seen as 47% increase in heat shock protein content (HSP70/HSC70) (Maulvault et al, 2019). However, it is important to acknowledge that the knowledge regarding the sub-lethal effects of pharmaceuticals in the presence of multiple stressors is still limited (Bani et al, 2022), and there is a need to fully understand these interactive outcomes at environmental concentrations.…”

Section: Discussionmentioning

confidence: 99%

The hidden impact: exploring sublethal effects of pharmaceutical disruption on aquatic ecosystem functioning

Vasantha Raman

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Pharmaceuticals are increasingly released into surface waters and therefore ubiquitous in aquatic systems. While pharmaceuticals are known to influence species interactions, their effect on host-parasite interactions is still underexplored despite potential ecosystem-level consequences. Here, we ask whether diclofenac, a widely used non-steroid anti-inflammatory drug, affects the interaction between a phytoplankton host (Staurastrum sp.; green alga) and its obligate fungal parasite (Staurastromyces oculus; chytrid). We hypothesized that the effect of increasing diclofenac concentration on overall microbial system, including bacteria, host, and where applicable parasites, depends on parasite exposure, and that parasite is more sensitive to increasing diclofenac concentrations than the host. We assessed acute and chronic effects of a wide range of diclofenac concentrations (0-150 mg/L) on

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Mind the gaps: What do we know about how multiple chemical stressors impact freshwater aquatic microbiomes?

Cited by 4 publications

References 159 publications

Bacterial responses to complex mixtures of chemical pollutants

Bacterial responses to complex mixtures of chemical pollutants

Insights in Pharmaceutical Pollution: The Prospective Role of eDNA Metabarcoding

The hidden impact: exploring sublethal effects of pharmaceutical disruption on aquatic ecosystem functioning

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