Erin A Stelzer
Erin received her Bachelor of Science degree in Microbiology from The Ohio State University. She started her career at the USGS in 2006 at the Ohio Water Science Center. Currently, Erin is working on a variety of molecular microbiological topics including: cyanobacterial toxin genes, taste and odor genes, enteric viruses, and eDNA.
Science and Products
Filter Total Items: 19
Data and model archive for multiple linear regression models for prediction of weighted cyanotoxin mixture concentrations and microcystin concentrations at three recurring bloom sites in Kabetogama Lake in Minnesota Data and model archive for multiple linear regression models for prediction of weighted cyanotoxin mixture concentrations and microcystin concentrations at three recurring bloom sites in Kabetogama Lake in Minnesota
Multiple linear regression models were developed using data collected in 2016 and 2017 from three recurring bloom sites in Kabetogama Lake in northern Minnesota. These models were developed to predict concentrations of cyanotoxins (anatoxin-a, microcystin, and saxitoxin) that occur within the blooms. Virtual Beach software (version 3.0.6) was used to develop four models: two cyanotoxin...
Laboratory quality-control data associated with samples analyzed for microbiological constituents at the USGS Ohio Water Microbiology Laboratory Laboratory quality-control data associated with samples analyzed for microbiological constituents at the USGS Ohio Water Microbiology Laboratory
This dataset contains data tables of laboratory quality-control data associated with environmental samples analyzed for microbiological constituents at the Ohio Water Microbiology Laboratory of the U.S. Geological Survey (USGS). The environmental samples were collected across the United States by USGS National Projects and projects in Water Science Centers. These quality-control data can...
Data for multiple linear regression models for predicting microcystin concentration action-level exceedances in selected lakes in Ohio Data for multiple linear regression models for predicting microcystin concentration action-level exceedances in selected lakes in Ohio
Site-specific multiple linear regression models were developed for eight sites in Ohio-six in the Western Lake Erie Basin and two in northeast Ohio on inland reservoirs--to quickly predict action-level exceedances for a cyanotoxin, microcystin, in recreational and drinking waters used by the public. Real-time models include easily- or continuously-measured factors that do not require...
Phytoplankton tally sheet, including photomicrographs, for samples collected at eleven large river sites throughout the United States, June through September 2017 Phytoplankton tally sheet, including photomicrographs, for samples collected at eleven large river sites throughout the United States, June through September 2017
This U.S. Geological Survey (USGS) Data Release provides the phytoplankton tally sheet, including photomicrographs, for samples collected from eleven large river sites throughout the United States, from June through September 2017. All data are raw tallies, not calculated abundances or concentrations. The dataset includes all routine and quality assurance/quality control samples...
Phytoplankton data for samples collected at eleven large river sites throughout the United States, June through September 2017 Phytoplankton data for samples collected at eleven large river sites throughout the United States, June through September 2017
This U.S. Geological Survey (USGS) Data Release provides phytoplankton data for samples collected from eleven large river sites throughout the United States, from June through September 2017. All data are reported as raw calculated values and are not rounded to USGS significant figures. The dataset includes all routine and quality assurance/quality control samples collected as part of a...
Cyanotoxin, chlorophyll-a, and cyanobacterial toxin genetic data for samples collected at eleven large river sites throughout the United States, June through September 2017 Cyanotoxin, chlorophyll-a, and cyanobacterial toxin genetic data for samples collected at eleven large river sites throughout the United States, June through September 2017
This U.S. Geological Survey (USGS) data release provides discretely measured cyanotoxin, chlorophyll-a, and cyanobacterial toxin genetic data for samples collected from eleven large river sites throughout the United States, from June through September 2017. Discrete water-quality samples were analyzed for cyanotoxins (anatoxin, cylindrospermopsin, microcystin, and saxitoxin), chlorophyll...
Laboratory quality-control data associated with samples analyzed for microbiological constituents at the Ohio Water Microbiology Laboratory, 2012-2017 Laboratory quality-control data associated with samples analyzed for microbiological constituents at the Ohio Water Microbiology Laboratory, 2012-2017
This dataset contains data tables of laboratory quality-control data associated with environmental samples analyzed for microbiological constituents at the Ohio Water Microbiology Laboratory of the U.S. Geological Survey (USGS) during federal fiscal years 2012-2017 (October 1, 2011 through September 30, 2017). The environmental samples were collected across the United States by the USGS...
Filter Total Items: 34
Cyanotoxin mixture models: Relating environmental variables and toxin co-occurrence to human exposure risk Cyanotoxin mixture models: Relating environmental variables and toxin co-occurrence to human exposure risk
Toxic cyanobacterial blooms, often containing multiple toxins, are a serious public health issue. However, there are no known models that predict a cyanotoxin mixture (anatoxin-a, microcystin, saxitoxin). This paper presents two cyanotoxin mixture models (MIX) and compares them to two microcystin (MC) models from data collected in 2016–2017 from three recurring cyanobacterial bloom...
Authors
Victoria Christensen, Erin A. Stelzer, Barbara C. Scudder Eikenberry, Hayley T. Olds, Jaime F. LeDuc, Ryan P. Maki, Jack E. Norland, Eakalak Khan
Predicting microcystin concentration action-level exceedances resulting from cyanobacterial blooms in selected lake sites in Ohio Predicting microcystin concentration action-level exceedances resulting from cyanobacterial blooms in selected lake sites in Ohio
Cyanobacterial harmful algal blooms and the toxins they produce are a global water-quality problem. Monitoring and prediction tools are needed to quickly predict cyanotoxin action-level exceedances in recreational and drinking waters used by the public. To address this need, data were collected at eight locations in Ohio, USA, to identify factors significantly related to observed...
Authors
Donna S. Francy, Amie M.G. Brady, Erin A. Stelzer, Jessica R. Cicale, Courtney Paige Hackney, Harrison D Dalby, Pamela Struffolino, Daryl F. Dwyer
Nowcasting methods for determining microbiological water quality at recreational beaches and drinking-water source waters Nowcasting methods for determining microbiological water quality at recreational beaches and drinking-water source waters
Nowcasts are tools used to provide timely and accurate water-quality assessments of threats to drinking-water and recreational resources from fecal contamination or cyanobacterial harmful algal blooms. They use mathematical models and techniques to provide near-real-time estimates of fecal-indicator bacteria (FIB) and cyanotoxin concentrations. Techniques include logic-based thresholds...
Authors
Donna S. Francy, Amie M.G. Brady, Jessica R. Cicale, Harrison D Dalby, Erin A. Stelzer
Cyanotoxin occurrence in large rivers of the United States Cyanotoxin occurrence in large rivers of the United States
Cyanotoxins occur in rivers worldwide but are understudied in lotic ecosystems relative to lakes and reservoirs. Eleven large river sites located throughout the United States were sampled during June–September 2017 to determine the occurrence of cyanobacteria with known cyanotoxin-producing strains, cyanotoxin synthetase genes, and cyanotoxins. Chlorophyll-a concentrations spanned the...
Authors
Jennifer L. Graham, Neil Dubrovsky, Guy M. Foster, Lindsey R. King, Keith Loftin, Barry Rosen, Erin Stelzer
Phytoplankton community and algal toxicity at a recurring bloom in Sullivan Bay, Kabetogama Lake, Minnesota, USA Phytoplankton community and algal toxicity at a recurring bloom in Sullivan Bay, Kabetogama Lake, Minnesota, USA
Kabetogama Lake in Voyageurs National Park, Minnesota, USA suffers from recurring late summer algal blooms that often contain toxin-producing cyanobacteria. Previous research identified the toxin microcystin in blooms, but we wanted to better understand how the algal and cyanobacterial community changed throughout an open water season and how changes in community structure were related...
Authors
Victoria Christensen, Ryan P. Maki, Erin A. Stelzer, Jack E. Norland, Eakalak Khan
Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 2008–17 Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 2008–17
The Cedar River alluvial aquifer is the primary source of municipal water in Cedar Rapids, Iowa. Municipal wells are completed in the alluvial aquifer about 40 to 80 feet below land surface. The City of Cedar Rapids and the U.S. Geological Survey have led a cooperative study of the groundwater-flow system and water quality of the aquifer since 1992. Cooperative reports between the City...
Authors
Shannon M. Meppelink, Erin A. Stelzer, Emilia L. Bristow, Gregory R. Littin
Multi-year microbial source tracking study characterizing fecal contamination in an urban watershed Multi-year microbial source tracking study characterizing fecal contamination in an urban watershed
Microbiological and hydrological data were used to rank tributary stream contributions of bacteria to the Little Blue River in Independence, Missouri. Concentrations, loadings and yields of E. coli and microbial source tracking (MST) markers, were characterized during base flow and storm events in five subbasins within Independence, as well as sources entering and leaving the city...
Authors
Rebecca N. Bushon, Amie M.G. Brady, Eric D. Christensen, Erin A. Stelzer
Estimating microcystin levels at recreational sites in western Lake Erie and Ohio Estimating microcystin levels at recreational sites in western Lake Erie and Ohio
Cyanobacterial harmful algal blooms (cyanoHABs) and associated toxins, such as microcystin, are a major global water-quality issue. Water-resource managers need tools to quickly predict when and where toxin-producing cyanoHABs will occur. This could be done by using site-specific models that estimate the potential for elevated toxin concentrations that cause public health concerns. With...
Authors
Donna S. Francy, Amie M.G. Brady, Christopher D. Ecker, Jennifer L. Graham, Erin A. Stelzer, Pamela Struffolino, Keith A. Loftin
Multi-laboratory survey of qPCR enterococci analysis method performance in U.S. coastal and inland surface waters Multi-laboratory survey of qPCR enterococci analysis method performance in U.S. coastal and inland surface waters
Quantitative polymerase chain reaction (qPCR) has become a frequently used technique for quantifying enterococci in recreational surface waters, but there are several methodological options. Here we evaluated how three method permutations, type of mastermix, sample extract dilution and use of controls in results calculation, affect method reliability among multiple laboratories with...
Authors
Richard A. Haugland, Shawn Siefring, Manju Varma, Kevin H. Oshima, Mano Sivaganesan, Yiping Cao, Meredith Raith, John Griffith, Stephen B. Weisberg, Rachel T. Noble, A. Denene Blackwood, Julie Kinzelman, Tamara Anan’eva, Rebecca N. Bushon, Erin A. Stelzer, Valarie J. Harwood, Katrina V. Gordon, Christopher Sinigalliano
Water Quality, Cyanobacteria, and Environmental Factors and Their Relations to Microcystin Concentrations for Use in Predictive Models at Ohio Lake Erie and Inland Lake Recreational Sites, 2013-14 Water Quality, Cyanobacteria, and Environmental Factors and Their Relations to Microcystin Concentrations for Use in Predictive Models at Ohio Lake Erie and Inland Lake Recreational Sites, 2013-14
Harmful cyanobacterial “algal” blooms (cyanoHABs) and associated toxins, such as microcystin, are a major water-quality issue for Lake Erie and inland lakes in Ohio. Predicting when and where a bloom may occur is important to protect the public that uses and consumes a water resource; however, predictions are complicated and likely site specific because of the many factors affecting...
Authors
Donna S. Francy, Jennifer L. Graham, Erin A. Stelzer, Christopher D. Ecker, Amie M.G. Brady, Pam Struffolino, Keith A. Loftin
Chemical and biological quality of water in Grand Lake St. Marys, Ohio, 2011-12, with emphasis on cyanobacteria Chemical and biological quality of water in Grand Lake St. Marys, Ohio, 2011-12, with emphasis on cyanobacteria
Grand Lake St. Marys (GLSM) is a shallow lake in northwest Ohio, which is about 9 miles long and 3 miles wide with depths averaging less than 8 feet. Cyanobacteria blooms are common in GLSM, and high concentrations of microcystins—toxins produced by cyanobacteria—have been documented therein. During 2011–12, the U.S. Geological Survey collected 11 sets of water samples at 6 locations in...
Authors
Denise H. Dumouchelle, Erin A. Stelzer
Geographic setting influences Great Lakes beach microbiological water quality Geographic setting influences Great Lakes beach microbiological water quality
Understanding of factors that influence Escherichia coli (EC) and enterococci (ENT) concentrations, pathogen occurrence, and microbial sources at Great Lakes beaches comes largely from individual beach studies. Using 12 representative beaches, we tested enrichment cultures from 273 beach water and 22 tributary samples for EC, ENT, and genes indicating the bacterial pathogens Shiga-toxin...
Authors
Sheridan K. Haack, Lisa R. Fogarty, Erin A. Stelzer, Lori M. Fuller, Angela K. Brennan, Natasha M. Isaacs, Heather E. Johnson
Science and Products
Filter Total Items: 19
Data and model archive for multiple linear regression models for prediction of weighted cyanotoxin mixture concentrations and microcystin concentrations at three recurring bloom sites in Kabetogama Lake in Minnesota Data and model archive for multiple linear regression models for prediction of weighted cyanotoxin mixture concentrations and microcystin concentrations at three recurring bloom sites in Kabetogama Lake in Minnesota
Multiple linear regression models were developed using data collected in 2016 and 2017 from three recurring bloom sites in Kabetogama Lake in northern Minnesota. These models were developed to predict concentrations of cyanotoxins (anatoxin-a, microcystin, and saxitoxin) that occur within the blooms. Virtual Beach software (version 3.0.6) was used to develop four models: two cyanotoxin...
Laboratory quality-control data associated with samples analyzed for microbiological constituents at the USGS Ohio Water Microbiology Laboratory Laboratory quality-control data associated with samples analyzed for microbiological constituents at the USGS Ohio Water Microbiology Laboratory
This dataset contains data tables of laboratory quality-control data associated with environmental samples analyzed for microbiological constituents at the Ohio Water Microbiology Laboratory of the U.S. Geological Survey (USGS). The environmental samples were collected across the United States by USGS National Projects and projects in Water Science Centers. These quality-control data can...
Data for multiple linear regression models for predicting microcystin concentration action-level exceedances in selected lakes in Ohio Data for multiple linear regression models for predicting microcystin concentration action-level exceedances in selected lakes in Ohio
Site-specific multiple linear regression models were developed for eight sites in Ohio-six in the Western Lake Erie Basin and two in northeast Ohio on inland reservoirs--to quickly predict action-level exceedances for a cyanotoxin, microcystin, in recreational and drinking waters used by the public. Real-time models include easily- or continuously-measured factors that do not require...
Phytoplankton tally sheet, including photomicrographs, for samples collected at eleven large river sites throughout the United States, June through September 2017 Phytoplankton tally sheet, including photomicrographs, for samples collected at eleven large river sites throughout the United States, June through September 2017
This U.S. Geological Survey (USGS) Data Release provides the phytoplankton tally sheet, including photomicrographs, for samples collected from eleven large river sites throughout the United States, from June through September 2017. All data are raw tallies, not calculated abundances or concentrations. The dataset includes all routine and quality assurance/quality control samples...
Phytoplankton data for samples collected at eleven large river sites throughout the United States, June through September 2017 Phytoplankton data for samples collected at eleven large river sites throughout the United States, June through September 2017
This U.S. Geological Survey (USGS) Data Release provides phytoplankton data for samples collected from eleven large river sites throughout the United States, from June through September 2017. All data are reported as raw calculated values and are not rounded to USGS significant figures. The dataset includes all routine and quality assurance/quality control samples collected as part of a...
Cyanotoxin, chlorophyll-a, and cyanobacterial toxin genetic data for samples collected at eleven large river sites throughout the United States, June through September 2017 Cyanotoxin, chlorophyll-a, and cyanobacterial toxin genetic data for samples collected at eleven large river sites throughout the United States, June through September 2017
This U.S. Geological Survey (USGS) data release provides discretely measured cyanotoxin, chlorophyll-a, and cyanobacterial toxin genetic data for samples collected from eleven large river sites throughout the United States, from June through September 2017. Discrete water-quality samples were analyzed for cyanotoxins (anatoxin, cylindrospermopsin, microcystin, and saxitoxin), chlorophyll...
Laboratory quality-control data associated with samples analyzed for microbiological constituents at the Ohio Water Microbiology Laboratory, 2012-2017 Laboratory quality-control data associated with samples analyzed for microbiological constituents at the Ohio Water Microbiology Laboratory, 2012-2017
This dataset contains data tables of laboratory quality-control data associated with environmental samples analyzed for microbiological constituents at the Ohio Water Microbiology Laboratory of the U.S. Geological Survey (USGS) during federal fiscal years 2012-2017 (October 1, 2011 through September 30, 2017). The environmental samples were collected across the United States by the USGS...
Filter Total Items: 34
Cyanotoxin mixture models: Relating environmental variables and toxin co-occurrence to human exposure risk Cyanotoxin mixture models: Relating environmental variables and toxin co-occurrence to human exposure risk
Toxic cyanobacterial blooms, often containing multiple toxins, are a serious public health issue. However, there are no known models that predict a cyanotoxin mixture (anatoxin-a, microcystin, saxitoxin). This paper presents two cyanotoxin mixture models (MIX) and compares them to two microcystin (MC) models from data collected in 2016–2017 from three recurring cyanobacterial bloom...
Authors
Victoria Christensen, Erin A. Stelzer, Barbara C. Scudder Eikenberry, Hayley T. Olds, Jaime F. LeDuc, Ryan P. Maki, Jack E. Norland, Eakalak Khan
Predicting microcystin concentration action-level exceedances resulting from cyanobacterial blooms in selected lake sites in Ohio Predicting microcystin concentration action-level exceedances resulting from cyanobacterial blooms in selected lake sites in Ohio
Cyanobacterial harmful algal blooms and the toxins they produce are a global water-quality problem. Monitoring and prediction tools are needed to quickly predict cyanotoxin action-level exceedances in recreational and drinking waters used by the public. To address this need, data were collected at eight locations in Ohio, USA, to identify factors significantly related to observed...
Authors
Donna S. Francy, Amie M.G. Brady, Erin A. Stelzer, Jessica R. Cicale, Courtney Paige Hackney, Harrison D Dalby, Pamela Struffolino, Daryl F. Dwyer
Nowcasting methods for determining microbiological water quality at recreational beaches and drinking-water source waters Nowcasting methods for determining microbiological water quality at recreational beaches and drinking-water source waters
Nowcasts are tools used to provide timely and accurate water-quality assessments of threats to drinking-water and recreational resources from fecal contamination or cyanobacterial harmful algal blooms. They use mathematical models and techniques to provide near-real-time estimates of fecal-indicator bacteria (FIB) and cyanotoxin concentrations. Techniques include logic-based thresholds...
Authors
Donna S. Francy, Amie M.G. Brady, Jessica R. Cicale, Harrison D Dalby, Erin A. Stelzer
Cyanotoxin occurrence in large rivers of the United States Cyanotoxin occurrence in large rivers of the United States
Cyanotoxins occur in rivers worldwide but are understudied in lotic ecosystems relative to lakes and reservoirs. Eleven large river sites located throughout the United States were sampled during June–September 2017 to determine the occurrence of cyanobacteria with known cyanotoxin-producing strains, cyanotoxin synthetase genes, and cyanotoxins. Chlorophyll-a concentrations spanned the...
Authors
Jennifer L. Graham, Neil Dubrovsky, Guy M. Foster, Lindsey R. King, Keith Loftin, Barry Rosen, Erin Stelzer
Phytoplankton community and algal toxicity at a recurring bloom in Sullivan Bay, Kabetogama Lake, Minnesota, USA Phytoplankton community and algal toxicity at a recurring bloom in Sullivan Bay, Kabetogama Lake, Minnesota, USA
Kabetogama Lake in Voyageurs National Park, Minnesota, USA suffers from recurring late summer algal blooms that often contain toxin-producing cyanobacteria. Previous research identified the toxin microcystin in blooms, but we wanted to better understand how the algal and cyanobacterial community changed throughout an open water season and how changes in community structure were related...
Authors
Victoria Christensen, Ryan P. Maki, Erin A. Stelzer, Jack E. Norland, Eakalak Khan
Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 2008–17 Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 2008–17
The Cedar River alluvial aquifer is the primary source of municipal water in Cedar Rapids, Iowa. Municipal wells are completed in the alluvial aquifer about 40 to 80 feet below land surface. The City of Cedar Rapids and the U.S. Geological Survey have led a cooperative study of the groundwater-flow system and water quality of the aquifer since 1992. Cooperative reports between the City...
Authors
Shannon M. Meppelink, Erin A. Stelzer, Emilia L. Bristow, Gregory R. Littin
Multi-year microbial source tracking study characterizing fecal contamination in an urban watershed Multi-year microbial source tracking study characterizing fecal contamination in an urban watershed
Microbiological and hydrological data were used to rank tributary stream contributions of bacteria to the Little Blue River in Independence, Missouri. Concentrations, loadings and yields of E. coli and microbial source tracking (MST) markers, were characterized during base flow and storm events in five subbasins within Independence, as well as sources entering and leaving the city...
Authors
Rebecca N. Bushon, Amie M.G. Brady, Eric D. Christensen, Erin A. Stelzer
Estimating microcystin levels at recreational sites in western Lake Erie and Ohio Estimating microcystin levels at recreational sites in western Lake Erie and Ohio
Cyanobacterial harmful algal blooms (cyanoHABs) and associated toxins, such as microcystin, are a major global water-quality issue. Water-resource managers need tools to quickly predict when and where toxin-producing cyanoHABs will occur. This could be done by using site-specific models that estimate the potential for elevated toxin concentrations that cause public health concerns. With...
Authors
Donna S. Francy, Amie M.G. Brady, Christopher D. Ecker, Jennifer L. Graham, Erin A. Stelzer, Pamela Struffolino, Keith A. Loftin
Multi-laboratory survey of qPCR enterococci analysis method performance in U.S. coastal and inland surface waters Multi-laboratory survey of qPCR enterococci analysis method performance in U.S. coastal and inland surface waters
Quantitative polymerase chain reaction (qPCR) has become a frequently used technique for quantifying enterococci in recreational surface waters, but there are several methodological options. Here we evaluated how three method permutations, type of mastermix, sample extract dilution and use of controls in results calculation, affect method reliability among multiple laboratories with...
Authors
Richard A. Haugland, Shawn Siefring, Manju Varma, Kevin H. Oshima, Mano Sivaganesan, Yiping Cao, Meredith Raith, John Griffith, Stephen B. Weisberg, Rachel T. Noble, A. Denene Blackwood, Julie Kinzelman, Tamara Anan’eva, Rebecca N. Bushon, Erin A. Stelzer, Valarie J. Harwood, Katrina V. Gordon, Christopher Sinigalliano
Water Quality, Cyanobacteria, and Environmental Factors and Their Relations to Microcystin Concentrations for Use in Predictive Models at Ohio Lake Erie and Inland Lake Recreational Sites, 2013-14 Water Quality, Cyanobacteria, and Environmental Factors and Their Relations to Microcystin Concentrations for Use in Predictive Models at Ohio Lake Erie and Inland Lake Recreational Sites, 2013-14
Harmful cyanobacterial “algal” blooms (cyanoHABs) and associated toxins, such as microcystin, are a major water-quality issue for Lake Erie and inland lakes in Ohio. Predicting when and where a bloom may occur is important to protect the public that uses and consumes a water resource; however, predictions are complicated and likely site specific because of the many factors affecting...
Authors
Donna S. Francy, Jennifer L. Graham, Erin A. Stelzer, Christopher D. Ecker, Amie M.G. Brady, Pam Struffolino, Keith A. Loftin
Chemical and biological quality of water in Grand Lake St. Marys, Ohio, 2011-12, with emphasis on cyanobacteria Chemical and biological quality of water in Grand Lake St. Marys, Ohio, 2011-12, with emphasis on cyanobacteria
Grand Lake St. Marys (GLSM) is a shallow lake in northwest Ohio, which is about 9 miles long and 3 miles wide with depths averaging less than 8 feet. Cyanobacteria blooms are common in GLSM, and high concentrations of microcystins—toxins produced by cyanobacteria—have been documented therein. During 2011–12, the U.S. Geological Survey collected 11 sets of water samples at 6 locations in...
Authors
Denise H. Dumouchelle, Erin A. Stelzer
Geographic setting influences Great Lakes beach microbiological water quality Geographic setting influences Great Lakes beach microbiological water quality
Understanding of factors that influence Escherichia coli (EC) and enterococci (ENT) concentrations, pathogen occurrence, and microbial sources at Great Lakes beaches comes largely from individual beach studies. Using 12 representative beaches, we tested enrichment cultures from 273 beach water and 22 tributary samples for EC, ENT, and genes indicating the bacterial pathogens Shiga-toxin...
Authors
Sheridan K. Haack, Lisa R. Fogarty, Erin A. Stelzer, Lori M. Fuller, Angela K. Brennan, Natasha M. Isaacs, Heather E. Johnson