Back

Genome-resolved metagenomics reveals the potential for selection for antibiotic resistance due to metal pollution in soil microbial communities near a copper-nickel mine site in Botswana

Makale, K. P. P.; Kampouris, I. D.; Ultra, V. U.; Dineo, O.; Babin, D.; Rantong, G.

2026-05-29 microbiology
10.64898/2026.05.29.728080 bioRxiv
Show abstract

Waste mismanagement and metal pollution are high in countries in the global south and often create challenging, extreme conditions for soil microbial communities, which might lead to selection for antibiotic resistance. However, soils from polluted sites in Sub-Saharan areas are rarely sampled. Thus, it remains unclear whether the potential for dissemination of antibiotic resistance exists in these areas. In the present study, we performed genome-resolved metagenomics on samples across a gradient around an area impacted by a copper-nickel mine in Botswana to identify the potential for co-selection for antibiotic resistance due to mine pollution. Specifically, we sampled over a gradient across a mine area in Botswana and performed genome-resolved metagenomics. In general, pollution increased with proximity to the mine, while prokaryotic diversity increased with increasing distance from the mine, and we could identify a few taxa that significantly correlated with the metal concentrations. Moreover, our assembled contigs indicate a potential for co-selection due to the dual function of these genes as both antibiotic resistance genes (ARGs) and metal resistance genes (MRGs), as they act as multidrug efflux pumps. In contrast, some ARGs co-occurred in the same region as MRGs, indicating the potential for co-selection due to co-localization. However, we could not detect any co-localization of ARGs/MRGs with horizontal gene transfer (HGT) markers at the contig level. We binned the contigs to MAGs, and we found several MAGs of high quality and completeness, belonging to taxa such as Actinobacteriota, Chloroflexota, Acidobacteriota, and Dormibacterota, that possess ARGs, MRGs, and HGT-markers. Moreover, we found ARGs, MRGs, and HGT-markers in eight MAGs, after binning, indicating no direct association of HGT-markers with ARG and MRG occurrence. In summary, our metagenomic analysis indicates that pollution in mines can lead to co-selection of AMR, specifically ARGs with a broad spectrum of substrates (e.g., efflux pumps) that can act as MRGs, in an under-sampled location such as Sub-Saharan countries. IMPORTANCEThis study indicates the potential role of metal pollution from mismanaged mining activities in facilitating the selection for antibiotic resistance in soil microbial communities in a Sub-Saharan area located in Botswana. In combination with the lower amount of health regulations and hygiene standards, the dissemination of antibiotic resistance poses risks to human health through the environment in many Sub-Saharan countries. By performing genome-resolved metagenomics and identifying antibiotic resistance genes (ARGs) as metal resistance genes (MRGs) across diverse assembled genomes or co-localization, this work highlights the potential for antimicrobial resistance dissemination due to mine activities. Thus, these findings underscore the urgent need to understand the potential side effects of mine pollution on the spread of antimicrobial-resistant bacteria (ARB) and associated ARGs in Sub-Saharan countries.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Science of The Total Environment
179 papers in training set
Top 0.6%
12.1%
2
mSystems
361 papers in training set
Top 0.8%
9.9%
3
Environmental Pollution
35 papers in training set
Top 0.3%
9.9%
4
Microbiology Spectrum
435 papers in training set
Top 0.3%
6.2%
5
Environmental Microbiology
119 papers in training set
Top 0.6%
4.7%
6
Frontiers in Microbiology
375 papers in training set
Top 2%
3.9%
7
PLOS ONE
4510 papers in training set
Top 36%
3.9%
50% of probability mass above
8
Microbiome
139 papers in training set
Top 1%
3.6%
9
Applied and Environmental Microbiology
301 papers in training set
Top 0.9%
3.5%
10
Scientific Reports
3102 papers in training set
Top 41%
3.0%
11
Journal of Hazardous Materials
19 papers in training set
Top 0.3%
2.5%
12
Environmental Microbiology Reports
27 papers in training set
Top 0.2%
2.4%
13
Environmental Microbiome
26 papers in training set
Top 0.1%
2.3%
14
ISME Communications
103 papers in training set
Top 0.9%
2.0%
15
Environmental Science & Technology
64 papers in training set
Top 1%
2.0%
16
PeerJ
261 papers in training set
Top 7%
1.7%
17
Soil Biology and Biochemistry
29 papers in training set
Top 0.2%
1.7%
18
FEMS Microbes
14 papers in training set
Top 0.1%
1.5%
19
Microbiological Research
19 papers in training set
Top 0.4%
1.3%
20
Environment International
42 papers in training set
Top 0.9%
1.3%
21
Journal of Applied Microbiology
18 papers in training set
Top 0.3%
1.1%
22
eLife
5422 papers in training set
Top 54%
0.9%
23
FEMS Microbiology Ecology
47 papers in training set
Top 0.4%
0.8%
24
Microbial Ecology
28 papers in training set
Top 0.3%
0.8%
25
Water Research
74 papers in training set
Top 1%
0.8%
26
Genome Biology
555 papers in training set
Top 7%
0.8%
27
mBio
750 papers in training set
Top 12%
0.7%
28
Journal of Environmental Management
11 papers in training set
Top 0.8%
0.7%
29
Nature Communications
4913 papers in training set
Top 64%
0.7%
30
Microbial Genomics
204 papers in training set
Top 2%
0.7%