2023
DOI: 10.3389/fmicb.2023.1161043
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Mill dams impact microbiome structure and depth distribution in riparian sediments

Abstract: IntroductionDamming has substantially fragmented and altered riverine ecosystems worldwide. Dams slow down streamflows, raise stream and groundwater levels, create anoxic or hypoxic hyporheic and riparian environments and result in deposition of fine sediments above dams. These sediments represent a good opportunity to study human legacies altering soil environments, for which we lack knowledge on microbial structure, depth distribution, and ecological function.MethodsHere, we compared high throughput sequenci… Show more

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Cited by 5 publications
(7 citation statements)
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“…Unamended and amended DEA rates were compared pre-and post-incubation by paired t tests (α = 0.5). Ranges of %C, %N, C:N, nitrate-N, DEA, nitrification, mineralization, and nosZ for pre-incubation buried historic soils were compared to previously published values for ancient subsurface C-rich horizons (Hill & Cardaci 2004;Gurwick et al 2008b;Bernal et al 2016) and legacy sediments (Lutgen et al 2020;Lewis et al 2021;Kan et al 2023;Peck et al 2022). Correlation coefficient matrixes (α = 0.05) were calculated for historic wetland soils pre-and post-incubation to assess relationships between soil characteristics.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Unamended and amended DEA rates were compared pre-and post-incubation by paired t tests (α = 0.5). Ranges of %C, %N, C:N, nitrate-N, DEA, nitrification, mineralization, and nosZ for pre-incubation buried historic soils were compared to previously published values for ancient subsurface C-rich horizons (Hill & Cardaci 2004;Gurwick et al 2008b;Bernal et al 2016) and legacy sediments (Lutgen et al 2020;Lewis et al 2021;Kan et al 2023;Peck et al 2022). Correlation coefficient matrixes (α = 0.05) were calculated for historic wetland soils pre-and post-incubation to assess relationships between soil characteristics.…”
Section: Discussionmentioning
confidence: 99%
“…Subsets of samples were selected to be analyzed in Immediately following collection, sub-samples for functional gene abundances were separated using a sterilized spatula, placed in sterile Whirl-Pak bags, and transported on ice before being stored frozen. Functional gene abundance was measured via qPCR analysis (QuantiTect SYBR Green PCR Kit analyzed on a QuantStudio 3 System; see Kan et al 2023 for details). N transformation genes proxied functional gene abundance (reported as gene counts per gram of soil), including nitrousoxide reductase gene (nosZ) for denitrifying microorganisms, and the sum of ammonia monooxygenase gene (amoA) for AoA and AoB (Leininger et al 2006;Sienkiewicz et al 2020).…”
Section: Pre-incubation Soil Analysesmentioning
confidence: 99%
“…We attribute these depleted groundwater δ 15 N-NO 3 values to suppressed denitrification and potentially higher DNRA and anaerobic mineralization in riparian soils at the Cooch site. Indeed, our previous measurements of denitrification potentials (Peck et al, 2022) as well as nosZ denitrification genes (Kan et al, 2023), indicated lower values for the Cooch versus the Roller site. We believe that the suppressed denitrification and higher DNRA at Cooch were a coupled result of milldam induced reducing conditions and presence of naturally occurring iron-rich soils amplified by effects of Na + from road-salt salinization (Inamdar et al, 2022).…”
Section: Road-salt Salinization and Groundwater δ 15 N-no 3 Depletionmentioning
confidence: 95%
“…Potential denitrification rates were highest at the upland riparian edge and lowest at the persistently saturated near‐stream position (Peck et al., 2022). Furthermore, soil denitrification rates and denitrification functional genes ( nosZ ) were lower for the road‐salt affected riparian soils suggesting potential suppression of denitrification by salinization (Kan et al., 2023; Peck et al., 2022).…”
Section: Introductionmentioning
confidence: 99%
“…10 Rates of DNF and abundance of DNF functional genes (nosZ) were also low in these riparian sediments, particularly for the Cooch site affected by road salt salinization. 11,38 We speculated that in addition to ammonification and suppression of nitrification, DNRA likely contributed to the elevated NH 4 + -N concentrations; however, a direct assessment of DNRA was not performed. 10 Here, we directly assessed and compared the potential for DNF and DNRA by determining the reductive process rates using 15 N labeled NO 3 − -N and characterizing nosZ (DNF) and nrfA (DNRA) functional genes for the two milldam-affected riparian sediment sites.…”
Section: Introductionmentioning
confidence: 99%