| Literature DB >> 28842661 |
Samir S Radwan1, Dina M Al-Mailem2, Mayada K Kansour2.
Abstract
The oil-producing Arabian Gulf states have hot summer seasons of about 7-month in length. Therefore, environmental oil spills should be bioremediated by the activity of indigenous, hydrocarbonoclastic (hydrocarbon-degrading) microorganisms with optimum growth at about 50 °C. Soils in such arid countries harbor thermophilic bacteria, whose oil-consumption potential is enhanced by calcium (II) - and dipicolinic acid (DPA)-supplement. Those organisms are, however, subjected to additional stresses including toxic effects of heavy metals that may be associated with the spilled oil. Our study highlighted the resistance of indigenous, thermophilic isolates to the heavy metals, mercury (II), cadmium (II), arsenic (II) and lead (II) at 50 °C. We also detected the uptake of heavy metals by 15 isolates at 50 °C, and identified the merA genes coding for Hg2+-resistance in 4 of the studied Hg2+-resistant isolates. Hg2+ was the most toxic metal and the metal toxicity was commonly higher in the presence of oil. The addition of Ca2+ and DPA enhanced the Hg2+-resistance among most of the isolates at 50 °C. Crude oil consumption at 50 °C by 4 selected isolates was inhibited by the tested heavy metals. However, Ca2+ and DPA limited this inhibition and enhanced oil-consumption, which exceeded by far the values in the control cultures.Entities:
Year: 2017 PMID: 28842661 PMCID: PMC5573387 DOI: 10.1038/s41598-017-10121-7
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Minimum inhibitory concentrations (MIC) [ppm] of heavy metals for 19 hydrocarbonoclastic bacteria at 50 °C on nutrient agar with and without oil vapor.
| Bacteria | Minimal inhibitory concentrations of heavy metals, MIC (ppm) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| On nutrient agar | On nutrient agar + oil | |||||||||
| Hg | Hg + Ca2+ | Cd | As | Pb | Hg | Hg + Ca2+ | Cd | As | Pb | |
|
| 90 | 90 | 300 | >14800 | 4000 | 20 | 20 | 50 | >14800 | 500 |
|
| 30 | 30 | 50 | >14800 | 140 | <5 | < 5 | 50 | 70 | <10 |
|
| <5 | 10 | 700 | >14800 | 4000 | <5 | <5 | 5 | 2000 | <10 |
|
| 50 | 50 | 700 | >14800 | 500 | 10 | <5 | 5 | 2000 | <10 |
|
| <5 | 90 | 5 | 2000 | 500 | <5 | <5 | <5 | 70 | <10 |
|
| 90 | 90 | 5 | 10000 | 500 | 10 | <5 | >600 | 70 | <10 |
|
| 30 | 90 | 300 | 10000 | 500 | <5 | 50 | <5 | 70 | <10 |
|
| 50 | 170 | 700 | >14800 | 1200 | <5 | 20 | >600 | >14800 | 150 |
|
| 30 | 50 | 50 | >14800 | 1200 | <5 | 20 | 50 | >14800 | 150 |
|
| 10 | 20 | 50 | >14800 | 1200 | 10 | 20 | 50 | >14800 | >1050 |
|
| <5 | 50 | 50 | >14800 | 1200 | <5 | <5 | 5 | 10000 | 150 |
|
| 30 | >210 | 50 | >14800 | 500 | 10 | 10 | 5 | 2000 | 150 |
|
| <5 | 170 | 700 | 70 | 1200 | <5 | <5 | 50 | 70 | 150 |
|
| <5 | 10 | 700 | 70 | 50 | <5 | <5 | 50 | 70 | <10 |
|
| <5 | 20 | 50 | 500 | 140 | <5 | 30 | 50 | 70 | <10 |
|
| <5 | 10 | 700 | 5000 | 1200 | <5 | 50 | 50 | 2000 | >1050 |
|
| <5 | 10 | >5600 | 10000 | 1200 | <5 | <5 | 50 | 5000 | <10 |
|
| <5 | 10 | 50 | 70 | 50 | <5 | <5 | 50 | 70 | <10 |
|
| <5 | 10 | 700 | 70 | 500 | <5 | <5 | 5 | 70 | <10 |
Values are means of triplicates.
Figure 1Uptake of heavy metal by hydrocarbonoclastic bacteria at 50 °C. Most of the amounts of the heavy metals added decreased in the media and accumulated in the cells by all the studied organisms during incubation. Each value was the mean of three parallel readings, and the deviation values were < 5.8% of the means.
Figure 2Electrophoresis profiles on agarose gel showing the PCR products (merA genes) in total genomic DNA from nine mercury resistant thermophilic bacteria. The primer pair used for amplification was Mer A3-f/ Mer A3-r. Bands of 1246 bp (in circles) were extracted, amplified, sequenced and the sequences compared with those in the GenBank database. The results of this sequencing are available in Table 2. 1, Amycolatopsis thermoflava; 2, Bacillus carboniphilus; 3, Bacillus foraminis; 4, Bacillus niabensis; 5, Bacillus thermoamylovorans; 6, Chelativorans multitrophicus; 7, Isoptericola variabilis; 8, Nocardia farcinica; 9, Aneurinibacillus danicus.
Information related to sequencing of MerA genes in the genomes of 9 Hg2+ resistant bacterial species (see Fig. 2).
| Bacterial isolate | Primers used | Total bases | Nearest genebank match | Similarity % | Bases compared | Genebank accession no. |
|---|---|---|---|---|---|---|
|
| MerA3-F/ MerA3-R | 897 | Uncultured bacterium clone SS2–2 mercuric reductase | 99 | 903/906 | |
|
| MerA3-F/ MerA3-R | 747 | Uncultured bacterium clone SS2–13 mercuric reductase | 99 | 749/750 | |
|
|
| |||||
|
|
| |||||
|
| MerA3-F/ MerA3-R | 790 | Uncultured bacterium clone SS3–10 mercuric reductase | 100 | 790/790 | |
|
| MerA3-F/ MerA3-R | 504 | Uncultured bacterium clone SS3–10 mercuric reductase | 100 | 504/504 | |
|
|
| |||||
|
|
| |||||
|
|
| |||||
Figure 3GLC-Profiles of residual crude oil showing the effects of Ca2+ and dipicolinic acid (DPA) on oil-consumption by bacteria at 50 °C in the presence of heavy metals. Percent values on the individual profiles are those of residual oil. Each value is the mean of 3 parallel analyses ± standard deviation. All changes in the oil concentrations compared to the 100% controls were significant with p < 0.05.
Primer sets used for merA gene amplification[33].
| Primer | Sequence (5′−3′) | Length | Annealing temp. (°C) | Ext. time (min) |
|---|---|---|---|---|
| Mer A3-f | CGTSAACGTSGGSTGCGTGCCSTCCAAG | 1246 | 64 | 3 |
| Mer A3-r | CGAGCYTKARSSCYTCGGMCAKSGTCA | |||
| Act-Fw | CSGAVTTGGTSTACGTCGC | 397 | 62 | 1 |
| Act-Rv(a) | ATGAGGTASGGG | |||
| Al-Fw | TCCAAGGCGMTGATCCGCGC | ~800 | 63 | 1.5 |
| Al-Rv | TAGGCGGCCATGTAGACGAACTGGTC | |||
| Als-n-F | TCCGCAAGTNGCVACBGTNGG | 1329–1638 | 62 | 3 |
| MerA5-R | CGCYGCRAGCTTYAAYCYYTCRRCCATYGT | |||
| Umer A-F | CTGGTTGTGAAGAACAT | 1556 | 50 | 3 |
| Umer A-R | TCCTTCTGCCATTGTTA | |||
| Fir-Fw | GTTTATGTWGCWGCYTATGAAGG | 455 | 64 | 1 |
| Fir-Rev 1892 | CCTGCACARCAAGATAATTTBGA | |||
| Fir-Fw | GTTTATGTWGCWGCYTATGAAGG | 455 | 64 | 1 |
| Fir-Rev 1832 | CCTTCWGCCATYGTTARATAWGG | |||
| Act-Fw | CSGAVTTGGTSTACGTCGC | 397 | 62 | 1 |
| Act-Rv(b) | GCCATGAGGTASGGG | |||
| A7s-n-F | CGATCCGCAAGTGGCIACBGT | 288 | 60 | 1 |
| 55-n-R | ACCATCGTCAGRTARGGRAAVA |