Data_Sheet_1_Insights Into Arsenite and Arsenate Uptake Pathways Using a Whole Cell Biosensor.PDF
Despite its high toxicity and widespread occurrence in many parts of the world, arsenic (As) concentrations in decentralized water supplies such as domestic wells remain often unquantified. One limitation to effective monitoring is the high cost and lack of portability of current arsenic speciation...
Main Authors: | , , |
---|---|
Format: | Dataset |
Language: | unknown |
Published: |
2018
|
Subjects: | |
Online Access: | https://doi.org/10.3389/fmicb.2018.02310.s001 https://figshare.com/articles/Data_Sheet_1_Insights_Into_Arsenite_and_Arsenate_Uptake_Pathways_Using_a_Whole_Cell_Biosensor_PDF/7155827 |
id |
ftfrontimediafig:oai:figshare.com:article/7155827 |
---|---|
record_format |
openpolar |
spelling |
ftfrontimediafig:oai:figshare.com:article/7155827 2023-05-15T18:45:44+02:00 Data_Sheet_1_Insights Into Arsenite and Arsenate Uptake Pathways Using a Whole Cell Biosensor.PDF Martin P. Pothier Aaron J. Hinz Alexandre J. Poulain 2018-10-02T04:20:09Z https://doi.org/10.3389/fmicb.2018.02310.s001 https://figshare.com/articles/Data_Sheet_1_Insights_Into_Arsenite_and_Arsenate_Uptake_Pathways_Using_a_Whole_Cell_Biosensor_PDF/7155827 unknown doi:10.3389/fmicb.2018.02310.s001 https://figshare.com/articles/Data_Sheet_1_Insights_Into_Arsenite_and_Arsenate_Uptake_Pathways_Using_a_Whole_Cell_Biosensor_PDF/7155827 CC BY 4.0 CC-BY Microbiology Microbial Genetics Microbial Ecology Mycology arsenic speciation arsenic uptake arsenite arsenate whole cell biosensor Giant Mine water quality Dataset 2018 ftfrontimediafig https://doi.org/10.3389/fmicb.2018.02310.s001 2018-10-03T22:56:58Z Despite its high toxicity and widespread occurrence in many parts of the world, arsenic (As) concentrations in decentralized water supplies such as domestic wells remain often unquantified. One limitation to effective monitoring is the high cost and lack of portability of current arsenic speciation techniques. Here, we present an arsenic biosensor assay capable of quantifying and determining the bioavailable fraction of arsenic species at environmentally relevant concentrations. First, we found that inorganic phosphate, a buffering agent and nutrient commonly found in most bioassay exposure media, was in fact limiting As(V) uptake, possibly explaining the variability in As(V) detection reported so far. Second, we show that the nature of the carbon source used in the bioassay differentially affects the response of the biosensor to As(III). Finally, our data support the existence of non-specific reduction pathways (non-ars encoded) that are responsible for the reduction of As(V) to As(III), allowing its detection by the biosensor. To validate our laboratory approach using field samples, we performed As(III) and As(V) standard additions on natural water samples collected from 17 lakes surrounding Giant Mine in Yellowknife (NWT), Canada. We found that legacy arsenic contamination in these lake water samples was accurately quantified by the biosensor. Interestingly, bioavailability of freshly added standards showed signs of matrix interference, indicative of dynamic interactions between As(III), As(V) and environmental constituents that have yet to be identified. Our results point toward dissolved organic carbon as possibly controlling these interactions, thus altering As bioavailability. Dataset Yellowknife Frontiers: Figshare Canada Yellowknife |
institution |
Open Polar |
collection |
Frontiers: Figshare |
op_collection_id |
ftfrontimediafig |
language |
unknown |
topic |
Microbiology Microbial Genetics Microbial Ecology Mycology arsenic speciation arsenic uptake arsenite arsenate whole cell biosensor Giant Mine water quality |
spellingShingle |
Microbiology Microbial Genetics Microbial Ecology Mycology arsenic speciation arsenic uptake arsenite arsenate whole cell biosensor Giant Mine water quality Martin P. Pothier Aaron J. Hinz Alexandre J. Poulain Data_Sheet_1_Insights Into Arsenite and Arsenate Uptake Pathways Using a Whole Cell Biosensor.PDF |
topic_facet |
Microbiology Microbial Genetics Microbial Ecology Mycology arsenic speciation arsenic uptake arsenite arsenate whole cell biosensor Giant Mine water quality |
description |
Despite its high toxicity and widespread occurrence in many parts of the world, arsenic (As) concentrations in decentralized water supplies such as domestic wells remain often unquantified. One limitation to effective monitoring is the high cost and lack of portability of current arsenic speciation techniques. Here, we present an arsenic biosensor assay capable of quantifying and determining the bioavailable fraction of arsenic species at environmentally relevant concentrations. First, we found that inorganic phosphate, a buffering agent and nutrient commonly found in most bioassay exposure media, was in fact limiting As(V) uptake, possibly explaining the variability in As(V) detection reported so far. Second, we show that the nature of the carbon source used in the bioassay differentially affects the response of the biosensor to As(III). Finally, our data support the existence of non-specific reduction pathways (non-ars encoded) that are responsible for the reduction of As(V) to As(III), allowing its detection by the biosensor. To validate our laboratory approach using field samples, we performed As(III) and As(V) standard additions on natural water samples collected from 17 lakes surrounding Giant Mine in Yellowknife (NWT), Canada. We found that legacy arsenic contamination in these lake water samples was accurately quantified by the biosensor. Interestingly, bioavailability of freshly added standards showed signs of matrix interference, indicative of dynamic interactions between As(III), As(V) and environmental constituents that have yet to be identified. Our results point toward dissolved organic carbon as possibly controlling these interactions, thus altering As bioavailability. |
format |
Dataset |
author |
Martin P. Pothier Aaron J. Hinz Alexandre J. Poulain |
author_facet |
Martin P. Pothier Aaron J. Hinz Alexandre J. Poulain |
author_sort |
Martin P. Pothier |
title |
Data_Sheet_1_Insights Into Arsenite and Arsenate Uptake Pathways Using a Whole Cell Biosensor.PDF |
title_short |
Data_Sheet_1_Insights Into Arsenite and Arsenate Uptake Pathways Using a Whole Cell Biosensor.PDF |
title_full |
Data_Sheet_1_Insights Into Arsenite and Arsenate Uptake Pathways Using a Whole Cell Biosensor.PDF |
title_fullStr |
Data_Sheet_1_Insights Into Arsenite and Arsenate Uptake Pathways Using a Whole Cell Biosensor.PDF |
title_full_unstemmed |
Data_Sheet_1_Insights Into Arsenite and Arsenate Uptake Pathways Using a Whole Cell Biosensor.PDF |
title_sort |
data_sheet_1_insights into arsenite and arsenate uptake pathways using a whole cell biosensor.pdf |
publishDate |
2018 |
url |
https://doi.org/10.3389/fmicb.2018.02310.s001 https://figshare.com/articles/Data_Sheet_1_Insights_Into_Arsenite_and_Arsenate_Uptake_Pathways_Using_a_Whole_Cell_Biosensor_PDF/7155827 |
geographic |
Canada Yellowknife |
geographic_facet |
Canada Yellowknife |
genre |
Yellowknife |
genre_facet |
Yellowknife |
op_relation |
doi:10.3389/fmicb.2018.02310.s001 https://figshare.com/articles/Data_Sheet_1_Insights_Into_Arsenite_and_Arsenate_Uptake_Pathways_Using_a_Whole_Cell_Biosensor_PDF/7155827 |
op_rights |
CC BY 4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3389/fmicb.2018.02310.s001 |
_version_ |
1766236863347032064 |