Impact of land-use and fecal contamination on Escherichia populations in environmental samples

Understanding the composition of complex Escherichia coli populations from the environment is necessary for identifying strategies to reduce the impacts of fecal contamination and protect public health. Metabarcoding targeting the hypervariable gene gnd was used to reveal the complex population diversity of E. coli and phenotypically indistinct Escherichia species in water, soil, sediment, aquatic biofilm, and fecal samples from native forest and pastoral sites. The resulting amplicons were cross-referenced against a database containing over 700 different partial gnd sequences from E. coli/non-E. coli Escherichia species. Alpha and beta measures of diversity of Escherichia populations were lowest in feces, soil and sediment compared to water and aquatic biofilm samples. Escherichia populations recovered from extensive freshwater catchments dominated by sheep, beef and dairy farming were extremely diverse but well-separated from a wetland dairy site. In contrast, Escherichia populations from the low-impact native forest site with fewer fecal sources were less diverse. Metabarcoding distinguished E. coli populations important to fecal contamination monitoring from non-E. coli Escherichia environmental populations. These data represent in-depth analysis and geographic stability of Escherichia populations from environmental samples with extensive heterogeneity, and reveal links with diverse fecal sources, land-use and the overall burden of fecal contamination at sample sites.

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Publication Details

Journal
Scientific Reports
Published
2024-12-30
DOI
https://doi.org/10.1038/s41598-024-83594-y
Citations
3
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
0.70

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article

Impact of land-use and fecal contamination on Escherichia populations in environmental samples

Gale Brightwell, Lynn Rogers, Rebecca Stott, Megan Devane et al.
3 citations
Scientific Reports
Gut microbiota and health
0.70
article

Impact of land-use and fecal contamination on Escherichia populations in environmental samples

Gale Brightwell, Lynn Rogers, Rebecca Stott, Megan Devane, Patrick J. Biggs, Jonathan C. Marshall, Adrian L. Cookson, Rose M. Collis
article en
3 citations

Abstract

Understanding the composition of complex Escherichia coli populations from the environment is necessary for identifying strategies to reduce the impacts of fecal contamination and protect public health. Metabarcoding targeting the hypervariable gene gnd was used to reveal the complex population diversity of E. coli and phenotypically indistinct Escherichia species in water, soil, sediment, aquatic biofilm, and fecal samples from native forest and pastoral sites. The resulting amplicons were cross-referenced against a database containing over 700 different partial gnd sequences from E. coli/non-E. coli Escherichia species. Alpha and beta measures of diversity of Escherichia populations were lowest in feces, soil and sediment compared to water and aquatic biofilm samples. Escherichia populations recovered from extensive freshwater catchments dominated by sheep, beef and dairy farming were extremely diverse but well-separated from a wetland dairy site. In contrast, Escherichia populations from the low-impact native forest site with fewer fecal sources were less diverse. Metabarcoding distinguished E. coli populations important to fecal contamination monitoring from non-E. coli Escherichia environmental populations. These data represent in-depth analysis and geographic stability of Escherichia populations from environmental samples with extensive heterogeneity, and reveal links with diverse fecal sources, land-use and the overall burden of fecal contamination at sample sites.

Scientific ReportsVol. 14(1)
AgResearch (NZ), New Zealand Institute for Public Health and Forensic Science (NZ), National Institute of Water and Atmospheric Research (NZ), Massey University (NZ)
AgResearch, National Institute of Water and Atmospheric Research, Ministry of Business, Innovation and Employment
Zero hunger
Openalex Percentile: Top 28%
Gut microbiota and health
0.70
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