Abstract

Abstract Understanding adaptation of biological communities to environmental change is a central issue in ecology and evolution. Metagenomic analysis of a stressed groundwater microbial community reveals that prolonged exposure to high concentrations of heavy metals, nitric acid and organic solvents (∼50 years) has resulted in a massive decrease in species and allelic diversity as well as a significant loss of metabolic diversity. Although the surviving microbial community possesses all metabolic pathways necessary for survival and growth in such an extreme environment, its structure is very simple, primarily composed of clonal denitrifying γ- and β-proteobacterial populations. The resulting community is overabundant in key genes conferring resistance to specific stresses including nitrate, heavy metals and acetone. Evolutionary analysis indicates that lateral gene transfer could have a key function in rapid response and adaptation to environmental contamination. The results presented in this study have important implications in understanding, assessing and predicting the impacts of human-induced activities on microbial communities ranging from human health to agriculture to environmental management, and their responses to environmental changes.

Keywords

BiologyMetagenomicsMicrobial population biologyMicrobial ecologyDenitrifying bacteriaEcologyAdaptation (eye)BiodiversityExtreme environmentEnvironmental biotechnologyEnvironmental changeDenitrificationClimate changeBacteriaGeneGenetics

MeSH Terms

BacteriaBiodiversityFresh WaterHumansMetagenomicsMetalsHeavyNitric AcidOrganic ChemicalsWater PollutantsChemical

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Publication Info

Year
2010
Type
article
Volume
4
Issue
5
Pages
660-672
Citations
348
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

348
OpenAlex
10
Influential
315
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Cite This

Christopher L. Hemme, Ye Deng, Terry J. Gentry et al. (2010). Metagenomic insights into evolution of a heavy metal-contaminated groundwater microbial community. The ISME Journal , 4 (5) , 660-672. https://doi.org/10.1038/ismej.2009.154

Identifiers

DOI
10.1038/ismej.2009.154
PMID
20182523

Data Quality

Data completeness: 86%