Title |
Metagenomic Functional Potential Predicts Degradation Rates of a Model Organophosphorus Xenobiotic in Pesticide Contaminated Soils
|
---|---|
Published in |
Frontiers in Microbiology, February 2018
|
DOI | 10.3389/fmicb.2018.00147 |
Pubmed ID | |
Authors |
Thomas C. Jeffries, Smriti Rayu, Uffe N. Nielsen, Kaitao Lai, Ali Ijaz, Loic Nazaries, Brajesh K. Singh |
Abstract |
Chemical contamination of natural and agricultural habitats is an increasing global problem and a major threat to sustainability and human health. Organophosphorus (OP) compounds are one major class of contaminant and can undergo microbial degradation, however, no studies have applied system-wide ecogenomic tools to investigate OP degradation or use metagenomics to understand the underlying mechanisms of biodegradationin situand predict degradation potential. Thus, there is a lack of knowledge regarding the functional genes and genomic potential underpinning degradation and community responses to contamination. Here we address this knowledge gap by performing shotgun sequencing of community DNA from agricultural soils with a history of pesticide usage and profiling shifts in functional genes and microbial taxa abundance. Our results showed two distinct groups of soils defined by differing functional and taxonomic profiles. Degradation assays suggested that these groups corresponded to the organophosphorus degradation potential of soils, with the fastest degrading community being defined by increases in transport and nutrient cycling pathways and enzymes potentially involved in phosphorus metabolism. This was against a backdrop of taxonomic community shifts potentially related to contamination adaptation and reflecting the legacy of exposure. Overall our results highlight the value of using holistic system-wide metagenomic approaches as a tool to predict microbial degradation in the context of the ecology of contaminated habitats. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 5 | 45% |
Canada | 1 | 9% |
United States | 1 | 9% |
India | 1 | 9% |
Unknown | 3 | 27% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 8 | 73% |
Members of the public | 3 | 27% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 158 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 32 | 20% |
Student > Master | 20 | 13% |
Researcher | 13 | 8% |
Student > Bachelor | 13 | 8% |
Student > Doctoral Student | 8 | 5% |
Other | 27 | 17% |
Unknown | 45 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 42 | 27% |
Environmental Science | 20 | 13% |
Biochemistry, Genetics and Molecular Biology | 18 | 11% |
Engineering | 7 | 4% |
Immunology and Microbiology | 5 | 3% |
Other | 10 | 6% |
Unknown | 56 | 35% |