2020
DOI: 10.1016/j.watres.2019.115167
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Tracking functional bacterial biomarkers in response to a gradient of contaminant exposure within a river continuum

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Cited by 21 publications
(10 citation statements)
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“…The broader field of aquatic environmental science is clearly facing the paradigm shift toward post-genomic approaches, already revealing the potential to contribute to regulatory and policy decisions. These datasets have the not over-promized ability to improved sensitivity of biomarker selection (Pomfret et al, 2019), aid in earlier and more precise detection and modeling of ecosystem perturbations (Reid et al, 2020;Hipsey et al, 2020), and improved risk assessment frameworks that includes functional characteristics of microbial behavior (Cocolin et al, 2018). This type of data also stands to revolutionize the time and expense-consuming (and oftenneglected) pursuit of microbial cultivation that is required for experimental and ecological validation of gene annotations and activities.…”
Section: Discussionmentioning
confidence: 99%
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“…The broader field of aquatic environmental science is clearly facing the paradigm shift toward post-genomic approaches, already revealing the potential to contribute to regulatory and policy decisions. These datasets have the not over-promized ability to improved sensitivity of biomarker selection (Pomfret et al, 2019), aid in earlier and more precise detection and modeling of ecosystem perturbations (Reid et al, 2020;Hipsey et al, 2020), and improved risk assessment frameworks that includes functional characteristics of microbial behavior (Cocolin et al, 2018). This type of data also stands to revolutionize the time and expense-consuming (and oftenneglected) pursuit of microbial cultivation that is required for experimental and ecological validation of gene annotations and activities.…”
Section: Discussionmentioning
confidence: 99%
“…), are beginning to be augmented and even replaced by "postgenomic" techniques, and for good reason (Beale et al, 2017). For instance, metatranscriptomics, which directly measures the gene expression of entire microbial communities, has provided novel insights into actual microbial activity and functionality in various aquatic environments (Lamendella et al, 2014;Falk et al, 2019;Bergsveinson et al, 2020;Reid et al, 2020). While this type of data presents us with an understanding of differential gene expression and "shifts" in activities undertaken by a community at a given time, further enhancement of these studies with metabolomics-the characterization of the low-weight molecular compounds, substrates, and enzymatic by-products within a sample matrix-that cumulatively allow for potential linkages between organism(s) genetic transcription, metabolic output, and the metabolite signature of a given environment.…”
Section: Introductionmentioning
confidence: 99%
“…However the review by Poursat et al (2019) showed that adaptation can be induced under certain laboratory conditions, even with persistent or inherently biodegradable compounds. Among all techniques used to trigger adaptation events, pre-exposure of microorganisms present in the soil of croplands to STP effluent before cultivating crops seems to be the best candidate to optimize the biotransformation in SSI (Poursat et al 2019;Reid et al 2020;Wang et al 2020).…”
Section: Enhanced Biotransformationmentioning
confidence: 99%
“…There are a variety of niches of riverine ecosystems that may harbour specific microbial communities, including: planktonic, sediment, flocs, biofilms, as well as those associated with suspended sediments or the suspended load (sediment particles maintained in suspension). The taxonomic profile of riverine bacterioplanktonic communities (Portillo et al 2012;Staley et al 2013Staley et al , 2014 and sediment bacterial communities (Drury et al 2013;Reid et al 2019Reid et al , 2020 have been previously examined. The influence of a variety of physical and chemical factors on these communities (Portillo et al 2013;Fortunato et al 2012) including pollution gradients and land use (Staley et al 2014) has also been assessed.…”
Section: Introductionmentioning
confidence: 99%
“…This is of utility for riverine systems impacted by anthropogenic activities. For instance, a few studies have applied genomic approaches to assess the bed and suspended sediments in Athabasca River tributaries (Reid et al 2020;Yergeau et al 2012), demonstrating that there were changes in the microbial processes of bed and suspended sediments associated with increasing polycyclic aromatic compound concentrations resulting from Oil Sands mining activities (Reid et al 2020). The utility of exploring the diversity of different microbial niches within and between sample sites as a reliable indicator of anthropogenic effects is unclear, given the potential stability and response to environmental parameters of each niche community.…”
Section: Introductionmentioning
confidence: 99%