| Literature DB >> 34229757 |
Obulisamy Parthiba Karthikeyan1,2,3, Thomas J Smith4, Shamsudeen Umar Dandare5, Kamaludeen Sara Parwin6, Heetasmin Singh7, Hui Xin Loh5, Mark R Cunningham5, Paul Nicholas Williams5, Tim Nichol8, Avudainayagam Subramanian6, Kumarasamy Ramasamy9, Deepak Kumaresan10.
Abstract
Manufacturing and resource industries are the key drivers for economic growth with a huge environmental cost (e.g. discharge of industrial effluents and post-mining substrates). Pollutants from waste streams, either organic or inorganic (e.g. heavy metals), are prone to interact with their physical environment that not only affects the ecosystem health but also the livelihood of local communities. Unlike organic pollutants, heavy metals or trace metals (e.g. chromium, mercury) are non-biodegradable, bioaccumulate through food-web interactions and are likely to have a long-term impact on ecosystem health. Microorganisms provide varied ecosystem services including climate regulation, purification of groundwater, rehabilitation of contaminated sites by detoxifying pollutants. Recent studies have highlighted the potential of methanotrophs, a group of bacteria that can use methane as a sole carbon and energy source, to transform toxic metal (loids) such as chromium, mercury and selenium. In this review, we synthesise recent advances in the role of essential metals (e.g. copper) for methanotroph activity, uptake mechanisms alongside their potential to transform toxic heavy metal (loids). Case studies are presented on chromium, selenium and mercury pollution from the tanneries, coal burning and artisanal gold mining, respectively, which are particular problems in the developing economy that we propose may be suitable for remediation by methanotrophs. Video Abstract.Entities:
Keywords: Bioremediation; Metal transformation and speciation; Metalloenzymes; Methanobactin; Methanotrophs
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Year: 2021 PMID: 34229757 PMCID: PMC8262016 DOI: 10.1186/s40168-021-01112-y
Source DB: PubMed Journal: Microbiome ISSN: 2049-2618 Impact factor: 16.837
Chromium pollution from tannery industries—a case study
| Tannery industries contribute significiantly to the developing economies such as India and Bangladesh (~3.5 and 5 billion USD per annum, respectively). Leather production utilises a large amount of water. It has been estimated that about 25–40m3 of fresh/ground water resources is used and subsequently discharged into the environment as effluent during the processing of one tonne of hides. Tannery effluents generally contain high levels of organics (measured as biological/chemical oxygen demand), nitrogen, sulphate and heavy metals such as Cr, Ni, As and Co. Tanneries have been the subject of wide public debate, particularly the downstream pollution by carcinogenic and teratogenic Cr (VI) that leaches into water bodies and soil and its subsequent impact on ecosystem health. For example, the Vellore district in South India is a well-known tannery hub that is famous for its export of leather [ | |
| Chromium pollution from tanneries extends to soil e.g. about 50,000 ha of agricultural land has been affected due to salts and chromium from the tannery waste streams. Concentrations of exchangeable Cr fractions have been reported up to 128 μg kg-1. Research in sites dumped with tannery wastes over the past 20 years in Vellore and surrounding regions has indicated that soil alkalinity facilitates the presence of the more toxic and mobile Cr (VI) that subsequently leaches into the groundwater. Alarming levels of Cr were also found in borewell waters in Palar river basin (>500 μg Cr L-1), 90% of which was Cr(VI) [ |
Selenium an essential element with toxicity problems in the mining industry and beyond
| The Recommended Daily Intake of selenium in the human diet is 55 mg d-1 (dietary reference intakes, 2000; Dietary Reference Intakes (2000) National Research Council. Washington: National Academic Press). The World Health Organization (WHO) has indicated that Se intake in the human diet in excess of 400 mg d-1 may be harmful to health, with signs of Se overexposure being evident at 750–858 mg d-1 [ | |
| Other emerging industries may provide new sources of potentially harmful selenium exposure. Selenium is a significant element in waste electronic and electrical equipment (e-waste). One study in West Africa (Ghana) found a doubling in blood selenium concentration (together with a tripling of mercury levels) in workers involved in incineration of e-waste [ | |
| As detailed in the main text, methanotrophs and other environmental bacteria have the capacity to produce Se (0)-containing nanoparticles. In addition to being valuable in detoxifying selenium contamination and in providing novel nanoparticles for use in electronics, such nanoparticles may find uses as slow-releasing selenium supplements for diets [ |
Mercury pollution from artisanal/small scale gold mining
| Mercury emissions from artisanal and small scale gold mining, estimated at 727 tonnes per annum, account for a large portion of emissions from anthropogenic sources (37% [ | |
| In addition, mercury is sometimes used in sluice boxes and in panning which can also contaminate tailings, creeks and rivers which will leach into the surrounding environment. In the Minamata Initial Assessment conducted for Guyana, over 11,000 kg of mercury is estimated to be emitted annually in Guyana by burning of a mercury-gold amalgam, with 39% released in the air, 32% in water and 29% in land [ | |
| Mercury has a long history of uncontrolled use in the mining sector of Guyana resulting in significant environmental pollution of waterways and aquatic ecosystems. The Government of Guyana has, however, signed the Minamata Convention and has subsequently aimed to phase out the use of mercury by 2022, with particular attention to the gold mining sector as part of this commitment. However, it has witnessed resistance by small miners who have not been able to adapt to other techniques as there is general lack of awareness and understanding of these technologies, along with a lack of fiscal incentives and barriers to accessing finance to transition from this cheaper alternative [ |
Fig. 1Methane oxidation by aerobic methanotrophs and metal co-factors of the enzymes. pMMO = particulate methane monooxygenase. sMMO = soluble methane monooxygenase. Xox-MeDH = XoxF-methanol dehydrogenase. Mxa-MeDH = MxaFI-methanol dehydrogenase. Fae = formaldehyde activating enzyme. FaDH = formate dehydrogenase. CBB = Calvin Benson Bassham Cycle. RuMP = Ribulose MonoPhosphate cycle. TCA – The Citric Acid cycle. PHB – Polyhydroxybutyrate cycle. Enzymes modulating the reaction are represented in red font, metals in blue & yellow fonts. Small vertical light blue arrows next to each metal ion indicate their effect on the expression and/or activity of enzymes
Redox states of metals with metallo-enzymes and their specific catalytic functions
| Metal | Redox state | Enzymes | Class of catalysis by enzyme |
|---|---|---|---|
| Copper | Cu (II), Cu (I) | Most copper-containing enzymes (e.g. Cytochromes) | Electron transfer, ferrous oxidase, amine oxidase |
| Iron | Fe (II), Fe (III), Fe (IV), Fe (V) | Cytochromes Peroxidase, catalase | Electron transfer, Oxidation |
| Molybdenum | Mo (III) to Mo (VI) | Nitrogenase, Aldehyde oxidase | Oxidation |
| Cobalt | Co (I)?, Co (II), Co (III) | B12- requiring enzymes | Carbonic anhydrase |
| Manganese | Mn (III) to Mn (IV)? | Photosynthetic enzymes | Superoxide dismutase, oxidase |
| Chromium | Cr (VI) to Cr (III) | Dehydrogenase | Oxidoreductases |
Difference between two well characterised known groups of methanobactins
| Particulars | Group 1 methanobactin | Group 2 methanobactin |
|---|---|---|
| Molecular weight (Da.) | 1154.26 | 851.20 |
| Structural difference | Two oxazolone rings (UV-vis spectra: Ring A ~ 394nm and B ~ 342nm) | One oxazolone ring (UV-vis spectra: Ring B~ 338nm) and Imidazolone (UV-vis spectra: Ring A ~ 387nm) |
| Partial amino-acids associated with Ring-A | Leucine | Arginine |
| Partial amino-acids associated with Ring-B | Proline | Threonine |
| Amino acids | Gly1, Ser2, Cys3, Tyr4, Ser5, Cys6 and Met7 (Gly1 – Downfield shift at 9.28ppm) | Ala1, Ser2, Ala3, Ala4 (Ala1 – Downfield shift at 11.7 and 145 ppm) |
| Copper affinity | 1018–1050 M-1 | 1026 M-1 |
| Copper binding Ring-A | 640 S-1 | Not available |
| Copper co-ordination rate with Ring-B | 121 S-1 | >2000 S-1 |
| Structure modification | Pyramid-like structure | Hairpin-like structure |
| Stability | Both rings hydrolysed within 2–5 days under acidic condition | Ring B (i.e. Oxa) is susceptible to hydrolysis (200 min) and Ring-A more resistance |
| Disulphide bond | Found | Not found |
| Sulphate group | Not found | Found |
Note: Da. daltons, UV ultraviolet, Gly glycine, Ser serine, Cys cystine, Tyr tyrosine, Met methionine, ppm parts per million
Fig. 2Grouping of metals based on their affinity and selectivity with methanobactin
Fig. 3a Pathways of methane-driven metal biotransformation by obligate aerobic methanotrophs. b Genomic distribution of potential biomarker genes involved in metal transformation in methanotrophs. Presence/absence of biomarker genes are mapped to a phylogenomic tree constructed using 74 single-copy marker genes specific to Bacteria via the GtoTree (v1.5.22) pipeline (as described in [135]). Protein sequences were retrieved using HMMER3 tool and multiple alignments were produced using MUSCLE (v.3.8.31, default settings). Conserved alignment blocks were identified using trimal (v1.4; -automated1 option) and subsequently used for tree construction using the IQTREE2 (v2.0.3) using default setting and 1000 boostraps
Fig. 4A typical artisanal/small scale gold mining operation in Guyana
Fig. 5Order of metal affinity for methanobactin under different pH conditions (red arrow indicate the order of change in metal afficinity with respect to pH change)
Fig. 6Schematic representation of potential biotic and abiotic interactions that constrains methanotroph-dependent metal(loid) transformation in the environment. N – nitrogen, P – phosphorus, K – potassium, C – carbon, Cu – copper, Fe – iron, Ni – nickel, Cr – chromium, Se – selenium, Hg – mercury, Zn – zinc, Co – Cobalt, Na – sodium, Cl – chlorine and F – flourine