Investigating freshwater periphyton community response to uranium with phospholipid fatty acid and denaturing gradient gel electrophoresis analyses

Small, Jack A.; Bunn, Amoret L.; McKinstry, Craig A.; Peacock, Aaron D.; Miracle, Ann L.

doi:10.1016/j.jenvrad.2007.09.009

Cited by 12 publications

(8 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3 is a bar chart of the average molar percent of the sample captured in each of the PLFA groups. Each of the PLFA groups was represented in about equal proportion for each of the dose groups, which is consistent with other results (Schryver et al, 2006;Small et al, 2008). Prior analysis of the data showed no discriminatory power for U dose using traditional ANOVA analysis assuming log-normally distributed data.…”

Section: Resultssupporting

confidence: 87%

“…pH values ranged over the light:dark period from 8.88 to 10.67). This is consistent with similar work conducted previously with periphyton sustained in Columbia River water (Small et al, 2008).…”

Section: Periphyton Studysupporting

confidence: 93%

“…This method has been widely used for environmental samples (Bailey et al, 2002;Small et al, 2008). Total lipids were fractionated with silicic acid chromatography and the polar lipids were subjected to mild alkaline methanolysis to yield fatty acid methyl esters (FAMEs) (Guckert et al, 1985).…”

Section: Plfamentioning

confidence: 99%

“…The poor specificity of PLFAemicroorganism associations is a confounding factor in the statistical classification/clustering approaches used to interpret PLFA profiles (Zelles, 1999), which do not reliably detect community responses to perturbations (Schryver et al, 2006;Small et al, 2008). The development of new data analysis methods to detect community responses to stress from PLFA profiles is a necessity; tools that can identify the subset of discriminating PLFAs from the full set of PLFAs measured will allow researchers to focus their ecological interpretations and validation efforts to the most relevant PLFA.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Phospholipid fatty acid biomarkers in a freshwater periphyton community exposed to uranium: discovery by non-linear statistical learning

Webb-Robertson

Bunn

Bailey

2011

Journal of Environmental Radioactivity

View full text Add to dashboard Cite

Section: Resultssupporting

confidence: 87%

Section: Periphyton Studysupporting

confidence: 93%

Section: Plfamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Phospholipid fatty acid biomarkers in a freshwater periphyton community exposed to uranium: discovery by non-linear statistical learning

Webb-Robertson

Bunn

Bailey

2011

Journal of Environmental Radioactivity

View full text Add to dashboard Cite

“…At last, the presence and abundance of discrete biomarkers could be used to assess the changes in the abundance of specific genera or groups (Ben-David et al, 2004;Nwuche and Ugoji, 2010). There have been studies investigating the impacts of acid rock drainage, petroleum hydrocarbon contamination and uranium on the microbial community compositions based on the PLFA and multivariable analysis (Ben-David et al, 2004;Syakti et al, 2006;Small et al, 2008).…”

Section: Introdctionmentioning

confidence: 99%

Phospholipid fatty acids analysis of the vertical distribution of microbial communities in eutrophic lake sediments

Zhao

Zeng

et al. 2011

Int. J. Environ. Sci. Technol.

View full text Add to dashboard Cite

Vertical distribution of microbial communities in a eutrophic lake sediments of Lake Xuanwu was quantified by phospholipid fatty acids analysis and multivariate statistical analysis was employed to interprete the data. Principle component analysis of sediment characteristics parameters, including total nitrogen, total phosphorus, organic matters and pH produced clustering of sampling sites for two distinct groups. These groups corresponded with the two sampling stations and the levels of nutrient enrichment. Total phospholipid fatty acids concentration, which is indicative of microbial biomass, reduced with depth, however, the relative percentage of anaerobic prokaryotes increased. To assess changes of microbial community along depth, phospholipid fatty acids compositions were analyzed by cluster analysis. Distinct clusters were observed in different sampling stations. Canonical correspondence analysis was carried out to infer the relationship between sediment characteristics and microbial communities. Phospholipid fatty acids samples collected at the same sampling site clustered together. Canonical correspondence analysis revealed that the environmental parameter with the greatest bearing on the phospholipid fatty acids profiles was pH. This study proved the successful application of phospholipid fatty acids and multivariate analysis to investigate the relationship between environment factors and microbial community composition.

show abstract

Periphyton uptake and trophic transfer of coal fly‐ash–derived trace elements

Scheibener

Rivera

Hesterberg

et al. 2017

Enviro Toxic and Chemistry

View full text Add to dashboard Cite

To determine whether the bioavailability of trace elements derived from coal ash leachates varies with the geochemical conditions associated with their formation, we quantified periphyton bioaccumulation and subsequent trophic transfer to the mayfly Neocloeon triangulifer. Oxic ash incubations favored periphyton uptake of arsenic, selenium, strontium, and manganese, whereas anoxic incubations favored periphyton uptake of uranium. Mayfly enrichment was strongest for selenium, whereas biodilution was observed for strontium, uranium, and arsenic. Environ Toxicol Chem 2017;36:2991-2996. © 2017 SETAC.

show abstract

Investigating freshwater periphyton community response to uranium with phospholipid fatty acid and denaturing gradient gel electrophoresis analyses

Cited by 12 publications

References 27 publications

Phospholipid fatty acid biomarkers in a freshwater periphyton community exposed to uranium: discovery by non-linear statistical learning

Phospholipid fatty acid biomarkers in a freshwater periphyton community exposed to uranium: discovery by non-linear statistical learning

Phospholipid fatty acids analysis of the vertical distribution of microbial communities in eutrophic lake sediments

Periphyton uptake and trophic transfer of coal fly‐ash–derived trace elements

Contact Info

Product

Resources

About