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Research Article Received: 10 January 2021 Revised: 19 February 2021 Accepted article published: 2 March 2021 Published online in Wiley Online Library: 13 March 2021 (wileyonlinelibrary.com) DOI 10.1002/jctb.6707 Biodegradation of crude oil using symbiont crude-oil degrading bacteria isolated from corals collected at the Persian Gulf Nasrin Ansari,a Farokh Rokhbakhsh-Zamin,a* Mehdi Hassanshahianb* and Majid Askari Hesnib Abstract BACKGROUND: About 25,000 oil tankers are transported annually through the Persian Gulf in Iran. Therefore, oil pollution in this region is very high. Research on the use of marine bacteria to degrade crude oil has yielded good results in recent years. The present study investigates bacteria that are symbiotic with marine corals and their ability to degrade crude oil. Corals were collected from five regions in the Persian Gulf and enrichedwith decomposing bacteria in ONR7a culture. After biochemical and molecular identification of bacterial isolates, the ability of the strains to degrade crude oil by spectrophotometric, gravimetric, and Gas Chromatography- Mass Spectroscopy (GC-MS) methods was investigated. RESULTS: Finally, 26 bacterial strains were identified from 5 coral samples. The efficient strains that had the highest crude-oil degradation belonged to genera Cobetia, Shewanella, Alcanivorax, and Cellulosimicrobium. Strains IAUK3568, IAUK3568, IAUK3502, IAUK3531, and IAUK3552 exhibited a maximum degradation of crude oil of 93.5%, 88.13%, 87.24%, 85.17%, and 77.3%, respectively. CONCLUSION: The results showed that all bacterial isolates degrade medium-chain alkanes better than long- and short-chain alkanes. The data obtained in this study confirm that the corals of the Persian Gulf have the necessary bacterial diversity to decompose crude oil and, consequently, reduce pollution in this region. © 2021 Society of Chemical Industry (SCI). Keywords: biodegradation; marine environment; oil pollution; Persian Gulf; corals INTRODUCTION Oil and petroleum products are produced and consumed as one of themain sources of energy around the world. Although consid- erable efforts have beenmade in the past to reduce oil spills, acci- dental releases of oil continue to occurs and pollute the environment.1 Oil spills in aquatic ecosystems cause enormous economic losses to communities and coastal areas, and the effects of their damage remain in the environment for a long time.2 The waters of the Persian Gulf flow into the Indian Ocean through the Strait of Hormuz and are, therefore, a semi-enclosed ecosystem. This gulf is a habitat with high oil pollution because annually, about 25 000 oil tankers move in this gulf, meaning that oil spills and pollution are frequent in this area.3 The Persian Gulf maintains diverse ecosystems, like coral reefs, mangrove forests, and other types of coasts that are affected by oil pollutants. Over the course of three events (in 1980, 1983, and 1991), about 11mil- lion barrels of oil entered the waters of the Persian Gulf. These events have led to pollution in the air, in coastal and mangrove forests, and underwater, in addition to the oil pollution that is spreading through countries with these reserves. This will cause damage to the ecosystem that will last for decades.4 Marine environment habitats have been particularly impacted by different threats, especially coral reefs, which are one of the most sensitive ecosystems on earth. Providing a breeding ground for fish and other marine organisms is one of the reasons why coral reefs are critically important in marine habitats.2 Due to the considerable importance of corals in marine ecosystems, their extinction leads to catastrophic events. In this regard, various solutions, including bioremediation, are used to discharge marine pollutants. Bioremediation involves using the ability of live things to destroy and remove pollutants. As this operation is relatively inexpensive and stable, it can be implemented in diverse habitats because it has a relatively minor effect on most systems.5 In addition to bioremediation, there are other ways to remove oil from the marine environment. For example, we can refer to physical and chemical methods. Physical and chemical methods * Correspondence to: F Rokhbakhsh-Zamin, Department of Microbiology, Kerman Branch, Islamic Azad University, Kerman, 7635131167, Iran, E-mail: rokhbakhsh@iauk.ac.ir; or M Hassanshahian, Department of Biology, Faculty of Sciences, Shahid Bahonar University of Kerman, Kerman, 7616913439, Iran. E-mail: mshahi@uk.ac.ir a Department of Microbiology, Kerman Branch, Islamic Azad University, Ker- man, Iran. b Department of Biology, Faculty of Sciences, Shahid Bahonar University of Kerman, Kerman, Iran J Chem Technol Biotechnol 2021; 96: 1882–1892 www.soci.org © 2021 Society of Chemical Industry (SCI). 1882 https://orcid.org/0000-0001-9899-7168 mailto:rokhbakhsh@iauk.ac.ir mailto:mshahi@uk.ac.ir include the use of skimmers, and one of the most common chem- ical methods for degradation of crude-oil is the use of surfactants at the surface of seawater. However, these methods create sec- ondary pollution and are, therefore, not safe for the marine envi- ronment. Bioremediation methods, which are some of the best methods for removing crude-oil from the marine environment, are divided into three groups: biostimulation, bioaugmentation, and cometabolism.6 The coral reefs of the Persian Gulf are themost significant repos- itories of biodiversity in the region and are among the most pro- ductive offshore ecosystems. Corals act as a home and shelter for fish, crustaceans (such as lobsters and shrimps), mollusks(such as octopus, tropical spiral snail, and bivalve snail), turtles, and other sea creatures. The main habitat for corals is frequently shal- low salty waters; hence, the Persian Gulf is a proper habitat for such creatures.6 There are about 16 islands, including Kharg and Lark islands, in the Persian Gulf waters of Iran, which have coral reefs with 63 species of hard corals. Until 2015, most of the fami- lies identified were Acroporidae, Poritidae, and Faviidae, but since 2016 (because of climate change and pollution), the Poritidae spe- cies remains the dominant species in the Gulf.7 The specific aim of the present work was to: (i) isolate crude-oil degrading bacteria from coral reefs in specific areas with polluted waters in the Persian Gulf, and (ii) carefully investigate the bio- technological abilities of the isolated strains to produce biosurfac- tants and to naturally degrade crude oil. MATERIALS AND METHODS The materials used, and experimental methods employed are listed below. Sampling The coral samples were collected from five oil-contaminated sites at the Persian Gulf. These five stations were Shidver (A sample), Lavan (B sample), Kish (I sample), Lark (L sample), and Qeshm islands (N sample). The coral reef samples were collected from a depth range of about 8–10 m by the SCUBA method. Specimens were embedded in aluminum foil immediately and every sample was about 3–4 cm. All coral samples were transported on ice to the laboratory. To isolate bacteria from collected corals, a piece of coral (about 2 cm2) was transferred by handling with a sterile knife. At that time, an emulsion mixture was prepared using the seawater stored in the internal surfaces of the coral tissue. Macer- ated coral was used to pursue the study. Quantification of the number of cultivable bacteria The Most Probable Number (MPN) and colony-forming units (CFU) methods were used to determine the frequency of co-coexisting bacteria. Initially, 100 μl of the sample diluted 10-fold coral was pre- pared. To identify heterotrophic bacteria, a culture was performed on Marine Agar medium for 3 days and at a temperature of 30 °C; for degrading bacteria, a culture was efficiently performed on ONR7a agar for 7 days and at a temperature of 30 °C. The results were reported as CFU·g−1. The MPN method for heterotrophic and hydrocarbon-degrading bacteria was performedin sterile 24-well microplates using sample aliquots with corresponding dilu- tions and cultivation media. In the first step to correctly identify degrading bacteria, 1700 μL ONR7a medium was provided in each well of themicroplates, and then a tenfold dilution series of macer- ated coral reef samples (until 10-1-10-3) was prepared in ONR7a medium.8 The wells were inoculated with 100 μL of sample diluents. Following this, 100 μL of sterile Iranian light crude oil was applied at each well. Plates were incubated at 30 °C for 21 days. After incubation, the visual evaluation of microbial growth was performed. On this basis, the number of positive test tubes and the counts of microorganisms were statistically evaluated. In another stage (to identify heterotrophic bacteria), each well was provided with 1700 μL Marine Broth (MB) and 100 μL dilution 10- 3-10-4 of the macerated coral reef sample, and then plates were incubated at 30 °C for 14 days. All samples from each station were used for MPN count. MPN counts were properly analyzed with the computer program MPN calculator version 4.2.9 Isolation and selection of crude-oil degrading bacteria Crude-oil degrading bacteria were isolated in ONR7a medium supplemented with 1% (v/v) of crude oil (Iranian light crude oil) as sole carbon source and energy. ONR7a contained (per liter of distilled water) 40 g of NaCl, 11.18 g of MgCl2.6H2O, 3.98 g of Na2SO4, 1.46 g of CaC12.2H2O, 1.3 g of TAPS0 {3- [N tris (hydroxy- methyl) methylamino]-2 hydroxy propane sulfonic acid}, 0.72 g of KCl, 0.27 g of NH4Cl, 89 mg of Na2HP04.7H20, 83 mg of NaBr, 31 mg of NaHCO3, 27 mg of H3BO3, 24 mg of SrCl2.6H20, 2.6 mg of NaF, and 2 mg of FeCl2.4H20. For solid media, Bacterial Agar (15 g L-1) was added to the solution. Five ml of coral tissue was mixed into 100 ml of the ONR7a medium with crude oil (as sole carbon source) and shake for 7 days at 30 °C and 180 rpm. After incubation time one passage were done into newONR7amediumwith crude oil and inoculums from the flask were streaked out on agar medium. Different colo- nies that appeared in ONR7a agar medium were isolated and in order to eliminate autotrophic bacteria these colonies were cul- ture into fresh ONR7a media with and without crude oil. Finally, the isolates with significant growth in ONR7a with crude oil were selected for further study.10 Screening of crude-oil degrading bacteria using the redox application of 2,6-Dichlorophenolindophenol (DCPIP) Screening of potential crude-oil degrading bacteria was carried out by modified Hanson et al. (1993) method using DCPIP as a redox indicator.11 In the process of oxidation by bacteria, electrons are transferred from hydrocarbons to DCPIP (electron receptors). The change from blue to colorless indicates the ability of bacteria to use hydrocarbons, which is studied at 600 nm. The inoculum was prepared by transferring cultures from marine agar slants into ONRmedium for 24 h at 35 ± 2 °C and180 rpm. Cultureswere then inoculated into tubes along with DCPIP indicator (0.5% w/v) and crude oil (1%, v/v) for spectrophotometric analysis. All the tubes were incubated at room temperature for 144 h. Appropriate con- trols and substrate/crude oil assays were included. The absorbance of all the tests wasmeasured by spectrophotometer. Data were col- lected at a regular time interval of 24 to 144 h.11 Identification of the isolates Bacterial isolates were examined from both biochemical and molecular aspects. Based on the Bergey's manual, biochemical tests (such as Gram staining, catalase, etc.) were performed to identify bacteria.12,13 Analysis of 16S rRNA was performed to characterize the isolated strains taxonomically. The total DNA of bacterial strains was extracted with the Cetyl Trimethyl Ammonium Bromide (CTAB) method. PCR amplification of 16S rRNA genes was performed using the general bacteria primer 27F (5-AGAGTTTGATCCTGGCTCAG-3) and universal reverse primer 1492R (5-TACGYTACCTTGTTACGACTT-3).8 The Biodegradation of crude oil using symbiont crude-oil www.soci.org J Chem Technol Biotechnol 2021; 96: 1882–1892 © 2021 Society of Chemical Industry (SCI). wileyonlinelibrary.com/jctb 1883 http://wileyonlinelibrary.com/jctb amplification reactionwas carried out in a total volume of 25 μl con- sisting of 2 mmol L–1 MgCl2 (1μl), 10X PCR reaction buffer (200 mmol L–1 Tris; 500 mmol L–1 KCl) (2.5 μl), 2 mmol L–1 each dNTP (2 μl), 0.15 mmol L–1 each primer (1 μl), 1U (0.5 μl) Taq DNA polymerase (Qiagen, Hilden, Germany), and 2 μl of template DNA (50 pmol). The total volume was brought up to 15 μl using sterile milliQ water. The PCR program, consisting of 35 cycles, was per- formed in a thermal cycler Gene Amp 5700 (PE Applied Biosystem, Foster City, CA, USA). The temperature profile for PCR was kept at 94 °C for 5 min, 94 °C for 1 min, 54 °C for 1 min, and 72 °C for 1.5 min for 35 cycles, then 72 °C for 10 min and, finally, storage at 4 °C.8 The 16S rRNA amplified was sequenced with Big Dye Termina- tor V3.1 cycle sequencing kit on an automated capillary sequencer (model 3100 Avant Genetic Analyzer, Applied Biosystems). Simi- larity rank from the Ribosomal Database Project RDP) and FASTA Nucleotide Database Query were used to determine partial 16S rRNA sequences to estimate the degree of similarity to the other 16S rRNA gene sequences. Analysis and phylogenetic affiliates of sequences were performed according to the protocol described by Yakimov et al. (2007).14 The phylogenetic tree was depicted by MEGA5 software with the neighbor-joining method. Bacterial growth rate The bacterial growth schedule was set at 30 °C and 180 rpm for 15 days. The growth of a strain by measuring the turbidity caused by OD 600 nm (Shimadzu UV-160, Japan) was determined. Figure 1. The macroscopic image of the 5 coral collected at the Persian Gulf. These five stations were Shidver (A sample), Lavan (B sample), Kish (I sample), Lark (L sample), and Qeshm island (N sample). www.soci.org N Ansari et al. wileyonlinelibrary.com/jctb © 2021 Society of Chemical Industry (SCI). J Chem Technol Biotechnol 2021; 96: 1882–1892 1884 http://wileyonlinelibrary.com/jctb Estimation of crude oil degradation by isolated strains The crude oil degradation of each isolated strain was evaluated using three methods: (i) spectrophotometry, (ii) gravimetric method, and (iii) gas chromatography-mass spectroscopy (GC-MS). The remaining crude oil in the medium was calculated by spec- trophotometry method, as follows: the residual crude oil in the medium was dissolved in dichloromethane (DCM) and the optical density was read at 420 nm.15 Furthermore, crude oil degradation was estimated by the gravimetric method, as follows. After 15 days of incubation of the strains in the medium with one percent crude oil, the sample was extracted using dichloromethane in the same man- ner. The organic phase, which contains crude oil dissolved in dichloromethane, was exposed to air to evaporate its dichloro- methane. The degraded crude oil by strains was calculated by reducing the weight of the un-degraded control flask (blank) from the degraded flask (experiment) and is expressed as gram per liter.16 The amount of crude oil not degraded by bacteria from each sample was checked by GC-MS. Initially, the same volume of DCM, and then of Na2SO4, was added to degrade the crude oil and remove the water, respectively. The GC-MS investigation Figure 2. Enumeration of heterotrophic and hydrocarbon-degrading bacteria by CFU and MPN methods in 5 collected coral. An average of three repe- titions of each experiment is used in this figure. Biodegradation of crude oil using symbiont crude-oil www.soci.org J Chem Technol Biotechnol 2021; 96: 1882–1892 © 2021 Society of Chemical Industry (SCI). wileyonlinelibrary.com/jctb 1885 http://wileyonlinelibrary.com/jctb was performed with a Varian 3800model (Coleman-Derr & Tringe) and SE-54 capillary column (25 m × 0.32 mm × 0.1 μm) equipped with FID. Helium was considered a carrier gas in the amount of 30 mL min–1and the program of the oven was 1 min at 100 °C and then, the temperature was increased to 300 °C (2 min) at a rate of 30 °C min-1. Also, one micro-litter was injected into GC- MS column.17 The measure of emulsification activity and biosurfactant production by efficient isolates In the study of the activity of E24 emulsion, the same volume of emulsion and hexadecane was placed in the cell-free culture and Vortex for 2 min. After 24 h at rest, the index emulsion for the emul- sion layer divided by the total height of the liquid column height scale in mm was determined as a percentage. Two methods were Table 1. Screening tests for selection of crude oil degrading bacteria between isolated strain from coral samples Strain IAUK DCPIP colorless Quality of growth in ONR medium with crude oil OD of growth (600 nm) in ONR medium with crude oil Oil- Spreading (cm) Emulsification activity (E24 %) Hemolysis in blood agar (cm) 3501 Delaya+ 2c + 0.338 0.3 0.00 0.0 3502 Fastb + 3 + 1.028 1.4 61.53 2.1 3503 Delay + 1 + 0.294 0.4 7.69 0.0 3504 Fast + 2 + 0.455 0.5 16.60 1.5 3505 Delay+ 1 + 0.190 0.4 6.15 0.4 3506 - + 1 0.471 0.2 61.50 0.0 3507 Fast+ 3 + 0.701 0.4 1.60 2.0 3529 Delay+ 1 + 0.353 0.5 15.00 0.3 3530 - 1 + 0.416 0.5 4.61 0.0 3531 Fast + 3 + 1.061 1.5 50.00 1.8 3542 - 1 + 0.163 0.5 25.70 0.0 3543 Fast + 2 + 0.419 0.5 20.00 1.7 3544 Delay + 2 + 0.419 0.5 0.00 0.0 3545 - 1 + 0.142 0.5 3.30 0.0 3546 Delay + 2 + 0.345 0.6 25.00 0.5 3547 - 1 + 0.149 0.5 0.00 0.0 3548 Fast + 3 + 1.376 1.5 64.90 1.8 3549 - 1 + 0.170 0.5 0.00 0.0 3550 Fast + 2 + 0.520 0.5 1.60 0.6 3551 - 1 + 0.129 0.5 21.42 0.0 3552 Fast + 3 + 1.435 1.7 1.60 1.5 3553 - 1 + 0.088 0.5 53.84 0.0 3565 - - 0.144 0.3 0.00 0.0 3566 Delay + 2 + 0.324 0.4 3.30 0.3 3567 Delay + + 1 0.222 0.5 28.30 0.0 3568 Fast + 3 + 1.376 1.6 33.80 2.1 a Delay means the colorless of DCPIP dye take place at 4 days. b Fast means the colorless of the DCPIP dye took place at 4 days. c In the quality test, these scores were given (1+ Weak growth; 2+ moderate growth; 3+ high growth). Table 2. Biochemical tests for identification of selected isolates Strain IAUK Morphology Gram Staining TSIa CATALASE OXIDASE Ob Fb NITRATE CITRATE Sc Ic Mc 3502 Coccobacillus Gram-negative alk /alk + - + + - - - - + 3504 Bacilli Gram-negative alk /alk - + + - - - + - + 3531 Coccobacillus Gram-negative alk /alk + _ + + + - - - + 3547 Cocci Gram-negative alk /alk + + - - - - - - - 3548 Bacilli Gram-positive alk /alk + - - - - - - - - 3550 Coccobacillus Gram-negative acid/acid - - + - - + - - + 3552 Bacilli Gram-positive acid/acid + + + - + - + - + 3568 Cocci Gram-positive alk /alk + + + + - + - - + a Triple sugar iron. b Oxidation-fermentation. c Sulfide-indole-motility. www.soci.org N Ansari et al. wileyonlinelibrary.com/jctb © 2021 Society of Chemical Industry (SCI). J Chem Technol Biotechnol 2021; 96: 1882–1892 1886 http://wileyonlinelibrary.com/jctb operated for the screening and selection of the most capable biosurfactant-producing bacteria between symbiont isolates. The oil spread technique was carried out according to Youssef et al. (2004).17 Further, the culture of bacteria in the blood agar medium was another screening test for biosurfactant production. Effect of the concentration of crude oil on degradation by isolated strains The effect of distinct concentrations of crude oil (1%, 2.5%, 4%, and 5.5%) on the growth and degradation of crude oil by the selected bacterial strains was examined using ONR7a medium at 30 °C and 180 rpm for 15 days. Bacterial growth was measured at 600 nm and crude oil degradation at 420 nm.18 RESULTS Coral identification The image of the collected coral samples is presented in Figure 1. This figure confirmed that all collected corals were stony coral, except for sample (L), which was soft coral. The results of coral identification Figure 3. Phylogenetic tree of 16S rDNA sequences of the 5 isolates strains obtained from collected corals at the Persian Gulf. The tree was constructed using sequences of comparable region of the 16S rDNA gene sequences available in public databases. Neighbor-joining analysis using 1,000 bootstrap replicates was used to infer tree topology. The bar represents 0.02% sequence divergence. Biodegradation of crude oil using symbiont crude-oil www.soci.org J Chem Technol Biotechnol 2021; 96: 1882–1892 © 2021 Society of Chemical Industry (SCI). wileyonlinelibrary.com/jctb 1887 http://wileyonlinelibrary.com/jctb show that (A), (B), (I), and (N) coral samples belong to Porites harrisoni genus and (L) coral samples are related to Sinularia sp. genus. Measurement of the amount of both types of bacteria in coral samples according to CFU and MPN The results for crude-oil degrading and heterotrophic bacteria are shown in Figure 2. As shown in this figure, the numbers of hetero- trophic bacteria in l, b, and a coral sample were the highest (respectively, 4.1 × 107, 3.4 × 107, and 3.1 × 07 CFU·mL−1) com- pared to other samples. Also, the coral samples l, a, and b had themaximum abundance of crude-oil degrading bacteria (respec- tively, 5.2 × 10 5, 4.4 × 10 4, and 3.9 × 10 5 CFU·mL−1). The coral samples l and a (respectively, 7.5 × 10 5 and 6.4 × 10 5) had the highest number of crude-oil degrading bacteria (MPN) compared to other samples. The maximum quantity (MPN) of heterotrophic bacteria was related to l and a coral samples (respectively, 6.1 × 107 and 5.2 × 107). Also, Figure 2 illustrates that the MPN values in all samples were higher than the CFU values. Screening of crude-oil degrading bacteria from coral samples Twenty-six crude-oil degrading bacteria were isolated from 5 coral samples after enrichment cultures were incubated at 30 °C for 2 weeks. Some screening tests were carried out for selecting the best crude-oil degrading bacteria between 26 isolates. The results of this screening are shown in Table 1. As shown in this table, all isolated strains have positive growth in the presence of crude oil as the sole energy and carbon source. The first screen- ing test used in this research for the selection of robust degrading bacteria was DCPIP colorless analysis. As shown in Table 2, three patterns were seen in these strains. Some strains (such as IAUK3502, IAUK3504, and IAUK3507) after 24 h turn from blue to a white color (Fast), but in other strains (such as IAUK3501, IAUK3503, and IAUK3505), the color change takes place after five days (Delay). However, some strains (such as IAUK3506, IAUK3530, and IAUK3542) could not change from the blue color at the end of the experiment (negative). The data presented in Table 1 con- firmed that there was a direct relationship between qualitative and quantitative growth with DCPIP analysis. Strains (such as IAUK3502, IAUK3531, IAUK3548, IAUK3552, and IAUK3568) that had the fast patterns in DCPIP analysis also had maximum OD in ONRmediumwith crude oil as sole carbon source and gave signif- icant values in quality analysis. The ability of 26 isolates to pro- duce a biosurfactant was analyzed by oil spreading, hemolysis, and emulsification activity methods. The results are presented in Table 2. As shown in this table, hemolysis was weak among most isolates, although strains IAUK3502 and IAUK3531 had the best hemolysis (2.1 cm). Also, most isolates had emulsification activity, and themaximum values of emulsification activity were related to strains IAUK3502, IAUK3531, and IAUK3548 (E24: 61%, 50%, and 64%, respectively). There was a correlation between high growth in ONR medium and emulsification activity of isolates. Identification of bacteria Eight bacterial strains with the highest rate of growth in crude oil were selected and first identified by biochemical tests the results were reported in Table 2. This table confirmed that all strains were Gram-negative; the majority of strains were catalase-positive and had motility. Five strains were identified in databases using sequencing and comparison with 16SrRNA genes. The results of molecular identification confirmed thatthese five isolates belong to Cobetia marina strain IAUK3502, Alcanivorax dieselolei strain IAUK3568, Cellulosimicrobium cellulans strain IAUK3548, Shewanella Haliotis strain IAUK3552, and Cobetia amphilecti strain IAUK3531. The 5 bacterial sequences were submitted in the NCBI and the ID of each mentioned below. MT185142 (strain IAUK3502), MT185143 (strain IAUK3568), MT185145 (strain IAUK3548), MT185147 (strain IAUK3552), and MT185154 (strain IAUK3531). The phylogenic trees of these five isolated strains are illustrated in Figure 3. This figure shows that strains IAUK3548, IAUK3568, and IAUK3531 have a high similarity with other sequences that present Table 4. The rate of alkane degradation in crude oil that calculated by GC-MS chromatographs for each strains Strain IAUK Alkane 3502 3531 3548 3552 3568 C9 a 100 100 100 100 100 C10 100 87 100 100 100 C11 61 93 100 95 100 C12 54 53 100 47 100 C13 64 100 100 42 100 C14 63 62 100 56 100 C15 54 81 96 95 100 C16 48 55 93 58 94 C17 46 57 87 22 91 C18 51 31 100 94 89 C19 56 60 49 51 87 C20 57 55 56 45 74 C21 61 36 76 40 64 C22 76 44 69 41 53 C23 58 32 71 41 51 C24 41 25 52 68 46 C25 58 28 49 56 54 C26 66 23 42 53 47 C27 54 15 43 44 42 C28 53 12 39 24 56 C29 48 10 35 16 55 C30 33 7 39 18 38 a The number of carbon. Table 3. The growth rate of efficient strains and percentage of crude oil degradation that were measured by three analytical methods Isolate IAUK Growth rate (OD600 nm) Percentage of oil removal removal (Spectrometry) (GC Method) (Gravimetric Method) 3502 1.65 70.40 87.24 60.60 3504 0.77 60.25 66.08 50.20 3507 1.80 30.00 37.13 25.80 3531 1.49 76.70 85.17 77.12 3543 0.44 40.70 54.30 39.60 3546 1.43 39.40 43.50 34.60 3547 1.47 67.57 74.30 57.30 3548 1.53 80.41 88.13 76.50 3550 0.45 70.40 84.13 62.50 3552 0.49 60.70 77.30 58.20 3568 1.90 85.50 93.50 79.50 www.soci.org N Ansari et al. wileyonlinelibrary.com/jctb © 2021 Society of Chemical Industry (SCI). J Chem Technol Biotechnol 2021; 96: 1882–1892 1888 http://wileyonlinelibrary.com/jctb in the Gene bank database, although the similarity of different strains is less in comparison to these three strains. Crude oil biodegradation by selected strains Eleven strains were selected to study the degradation of 1% crude oil at 15 days with constant shaking. Gravimetric, GC-MS, and spectrometry methods were used to evaluate the growth of microorganisms and the biodegradation of crude oil, and the results are included in Table 4. The strains IAUK3568, IAUK3548, IAUK3502, IAUK3531, and IAUK3552 exhibit maximum degrada- tion of crude oil (respectively, 93.5%, 88.13%, 87.24%, 85.17%, and 77.3%). The minimum crude oil degradation between twelve strains was related to strain IAUK3507 (25.8%). Three methods were used for calculating crude oil degradation. Between these three methods, the most precise results were obtained by the GC-MS method (Table 3) and the GC-MS chromatogram for IAUK3568 (an example of a strain) compared to blank confirms that the peaks of crude oil compounds have been significantly reduced by these strains (Fig. 4). Ability of degradation strains in different concentrations of crude oil The effect of different concentrations of crude oil on degradation by three efficient strains (IAUK3502, IAUK3568, and IAUK3552) was determined. These strains were selected because they exhib- ited maximum degradation of crude oil in the primary screening analysis. The results are presented in Figure 5. As shown in this fig- ure, the maximum degradation of crude oil holds place at 2.5% concentration. Additionally, this figure demonstrates that crude Figure 4. GC-MS results in tracing the residual crude oil in bacteria. (A) Blank without bacterium and (B) IAUK3568 strain. Figure 5. Effect of crude oil concentration on its removal by isolates. The star above the bar means statistical significance was found by Duncan's test (P < 0.05). Biodegradation of crude oil using symbiont crude-oil www.soci.org J Chem Technol Biotechnol 2021; 96: 1882–1892 © 2021 Society of Chemical Industry (SCI). wileyonlinelibrary.com/jctb 1889 http://wileyonlinelibrary.com/jctb oil degradation decreased when the concentration of crude oil was increased. The strain that could best degrade powerful levels of crude oil was strain IAUK3502. These data were statistically con- firmed because the Duncan's test was performed on the results and the data was significant (P < 0.05). Ability to degrade n-alkanes isolates The ability of n-alkanes (C9-C30) degradtion by selected isolates from the preceding stages was examined by GC analysis and the assessed value was compared with the control group that was not affected by bacteria; the values were summarized in Table 4. The outcomes have shown that strains IAUK3568, IAUK3548, and IAUK3552 degraded the most n-alkanes present in crude oil. In contrast, strains IAUK3531 and IAUK3502 had the minimum deg- radation of n-alkanes. Because short-chain alkanes dissolve cell membranes, they are toxic to bacteria. On the other hand, alkanes with long chain lengths are stable and have little solubility for these strains. As a result, medium-chain alkanes are the most suit- able type for crude oil-destroying strains. DISCUSSION There is little research on the unique relationship betweenmarine animals and beneficial microorganisms in the polluted marine environment. Deep-sea creatures feed directly from freshly set- tled sediments. Therefore, they are in direct contact with pollut- ants entering the seawater and, consequently, are linked to the bacteria accumulated in the contaminated sediment due to their filter-feeding activity.19 Corals are diverse and complex creatures in marine ecosystems that serve as shelters for many other marine inhabitants. Destruc- tive human activities, like oil and sea pollution, have led to the destruction of corals around the world. An astonishing event on the Shidver Island in the Persian Gulf showed corals can thrive and flourish in the presence of crude oil continuously seeping from natural cracks in the island seabed.20,21 In the current research, the quantity and diversity of crude-oil degrading bacteria that are in symbiosis with some corals at dis- tinct zones of the Persian Gulf was investigated. Our research have shown there is significant diversity in symbiotic degrading bacteria in the collected corals. In this examination, two different coral genera were identified.22 Among the five islands where the corals were collected, the utmost quantity and diversity of sym- biont crude-oil degrading bacteria belong to corals harvested from Larak and Shidver islands. The diversity in these two islands can be attributed to the presence of many oil reservoirs, oil extraction activities, and the transfer of petroleum products in these zones, all of which have contributed to the remarkable oil spill in the Persian Gulf and the selection of symbiont degrad- ing bacteria.23,24 One more interesting and outstanding result from the present study is that the mucosal and tissue parts of Lark Island corals demonstrated more diversity in degrading crude oil than other corals.25,26 Eleven degrading bacteria were isolated from collected corals from Lark Island. In the other islands, this value was lower, as fol- lows: Shidver (2), Lavan (5), Kish (3), and Qeshm (4). This is a result of the nature of the oil that comes into contact with corals. Because there are so many oil reservoirs on Lark Island, corals receive non-volatile oil (which remains the water-soluble compo- nent) directly. Another interpretation involves the fact that this is a soft coral, while the others are stony corals. Therefore, the degrading bacteria can inhabit the tissue of soft coral more adequately than the tissue of stony corals. The lowest symbiont degrading bacteria were perceived in corals collected from Qeshm Island. The minute quantity and variety of degrading bac- teria in this area can be as ascribed to the low oil production and transition in this island and it is referred to asan unpolluted region.27 In this manner, by comparing these two regions (Larak and Qeshm islands) in the Persian Gulf, it can be concluded that the level of crude oil contamination caused a direct effect on the selection of symbiont degrading bacteria in the tissue of corals. There was limited experimentation on the characterization and screening of crude-oil degrading bacteria frommarine corals. Some examples about isolation of crude-oil degrading bacteria from marine corals was described as follows. Al-Dahash andMahmoud (2013) examined oil-degrading bacte- ria in certain coral reef systems in the north of the Persian Gulf (Kuwait).28 They demonstrated conventional and molecular tech- niques to distinguish the oil-degrading communities in the tissue and mucus of coral reefs. The consequences of their research ver- ified the predominance of bacteria affiliated with Gammaproteo- bacteria, Actinobacteria, and Firmicutes in the mucus and tissues of Acropora clathrata and Porites compressa. These bacteria could degrade a broad range of aliphatic (C9–C28)and aromatic hydro- carbons (Phenanthrene, Biphenyl, Naphthalene), as well as crude oil.28 Kellogg (2019) studied the microbiomes of stony and soft deep- sea corals at Baltimore Canyon. Their outcomes confirmed these bacterial associates in the tissue of corals played important symbi- otic roles. These conserved bacterial associates include taxa with the potential for nitrogen and sulfur cycling, detoxification, and hydrocarbon degradation.29 Crude-oil degrading bacteria can also be isolated from different marine animals; for example, Cappello et al. (2012) performed a study on the prevalence of bacteria in the gills of bivalves in con- taminated and non-contaminated environments.8 They con- cluded that the quantity of crude-oil degrading bacteria in polluted areas was high compared to that in unpolluted regions. Nevertheless, the frequency of heterotrophic bacteria remains constant in both environments. In this exploration, crude-oil degrading bacteria were isolated from coral samples at various islands of the Persian Gulf. This analysis is the first experience report on the screening and characterization of crude-oil degrading bacteria in the tissue of coral in the Persian Gulf. Our results supported the idea that effective crude-oil degrading bac- teria exist in the tissue and mucus of marine corals.8 In the initial screening, 26 strains were isolated from five corals, out of which 11 strains were selected as the most effective. Ulti- mately, five robust strains that had a high growth rate and crude oil degradation, as identified by the molecular method. The results of molecular identification confirmed four diverse genera (Cobetia, Cellulosimicrobium, Alcanivorax, and Shewanella). These genera that introduced in the current research also, previously reported by other researchers as crude oil degrader. The study conducted by Fakhrzadegan et al. (2019) on bacteria that decompose from mangrove forests led to the report of Halo- monas, Alcanivorax, Idiomarina, and Shewanella genera. These are same genera that were mentioned in this review.27 Sivaraman et al. (2011) reported the isolation of a Hydrocarbo- noclastic bacterium called Cellulosimicrobium from oil- contaminated water in India. The same strain was also identified in the Persian Gulf waters in this study.30 Campos et al. (2015) isolated Alcanivorax dieselolei from the mucus of the zoanthid Palythoa caribaeorum at Porto de Galinhas, www.soci.org N Ansari et al. wileyonlinelibrary.com/jctb © 2021 Society of Chemical Industry (SCI). J Chem Technol Biotechnol 2021; 96: 1882–1892 1890 http://wileyonlinelibrary.com/jctb Brazil. They confirmed the presence of a hydrocarbon-degrading bacterium in a reef ecosystem such as Porto de Galinhas. In the present study, the bacterium was identified from coral isolated from Qeshm Island.31 The data obtained in this study showed that high concentra- tions of crude oil can reduce the ability of bacteria to degrade. Furthermore, high concentrations of hydrocarbons limit the bio- availability of oxygen, nitrogen, and phosphorus, which reduces the growth of bacteria and, thus, reduces degradation. Other experiments in this study confirmed that strains with high emul- sion activity have the greatest oil degradation effect. Hassansha- hian et al. (2012) stated that strains with high emulsion activity (E24) show a high level of hydrophobicity. 32 Narciso-Ortiz et al. (2020) also used a consortium of Acinetobac- ter bouvetti, Defluvibacter lusatiensis, Xanthomonas, and Shewa- nella bacteria to remove pollution in the Gulf of Mexico; while declaring the desired results in their research, they indicated that in all their experiments, emulsifying activity increased and the diameter of hydrocarbon droplets decreased over time.33,34 CONCLUSIONS Persian Gulf corals are resistant to heat, salinity, and various envi- ronmental pollutions due to their environmental conditions and strategic location. It is clear that the Persian Gulf is an enormously rich environment for the screening and isolation of numerous types of microorganisms with diverse applications. The results of this study revealed that marine corals collected from five regions of the Persian Gulf have a high density and diversity of crude-oil degrading bacteria. Some strains could even degrade elevated concentrations of crude oil. Therefore, these bacteria can be con- sumed for the bioremediation of polluted stations at the Persian Gulf. ACKNOWLEDGEMENTS This research is financially supported by Islamic Azad University, Kerman branch. CONFLICT OF INTERESTS There is not any conflict of interest among the authors. REFERENCES 1 Zhang B, Matchinski EJ, Chen B, Ye X, Jing L and Lee K, Marine oil spills —oil pollution, sources and effects, inWorld Seas: An Environmental Evaluation, Vol. 111, ed. by Sheppard C. 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Biodegradation of crude oil using symbiont crude-oil www.soci.org J Chem Technol Biotechnol 2021; 96: 1882–1892 © 2021 Society of Chemical Industry (SCI). wileyonlinelibrary.com/jctb 1891 https://doi.org/10.1128/AEM.72.2.1680-1683.200 https://doi.org/10.1128/AEM.72.2.1680-1683.200 https://doi.org/10.1080/02757540.2011.639768 https://doi.org/10.1080/02757540.2011.639768 https://doi.org/10.1007/s10295-010-0819-1 https://doi.org/10.1007/BF00152624 https://doi.org/10.1371/journal.pone.0174445 https://doi.org/10.1371/journal.pone.0174445 https://doi.org/10.1007/s40201-020-00557-x https://doi.org/10.1007/s40201-020-00557-x https://doi.org/10.5812/jjm.9182 https://doi.org/10.1177/0734242X07079874 https://doi.org/10.1177/0734242X07079874 https://doi.org/10.1111/maec.12544 https://doi.org/10.1111/maec.12544 http://wileyonlinelibrary.com/jctb 28 Al-Dahash LM and Mahmoud HM, Harboring oil-degrading bacteria: a potential mechanism of adaptation and survival in corals inhabit- ing oil-contaminated reefs. Mar Pollut Bull 72:364–374 (2013). 29 Kellogg C, Microbiomes of stony and soft deep-sea corals share rare core bacteria. Microbiome 7:1–13 (2019). https://doi.org/10.1186/ s40168-019-0697-3. 30 Sivaraman C, Ganguly A, NikolauszM andMutnuri S, Isolation of hydro- carbonoclastic bacteria from bilge oil contaminated water. Int J Envi- ron Sci Technol 8:461–470 (2011). https://doi.org/10.1007/ BF03326232. 31 Campos F, Garcia J, Luna-Finkler C, Davolos C, Lemos M and Pérez C, Alcanivorax dieselolei, an alkane-degrading bacterium associated with the mucus of the zoanthid Palythoa caribaeorum (Cnidaria, Anthozoa). Braz J Biol 75:431–434 (2015). 32 HassanshahianM, Emtiazi G and Cappello S, Isolation and characteriza- tion of crude-oil degrading bacteria from the Persian Gulf and the Caspian Sea. Mar Pollut Bull 64:7–12 (2012). 33 Narciso-Ortiz L, Vargas-García K, Vázquez-Larios A, Quiñones-Muñoz T, Hernández-Martínez R and Lizardi-JiménezM, Coral reefs andwater- sheds of the Gulf of Mexico in Veracruz: Hydrocarbon pollution data and bioremediation proposal. Reg Stud Mar Sci 35:101155 (2020). 34 Emtiazi G, Saleh T and Hassanshahian M, The effect of bacterial gluta- thione S-transferase on morpholine Degradation. Biotechnol J 4: 202–205 (2009). www.soci.org N Ansari et al. wileyonlinelibrary.com/jctb © 2021 Society of Chemical Industry (SCI). J Chem Technol Biotechnol 2021; 96: 1882–1892 1892 https://doi.org/10.1186/s40168-019-0697-3 https://doi.org/10.1186/s40168-019-0697-3 https://doi.org/10.1007/BF03326232 https://doi.org/10.1007/BF03326232 http://wileyonlinelibrary.com/jctb Biodegradation of crude oil using symbiont crude-oil degrading bacteria isolated from corals collected at the Persian Gulf INTRODUCTION MATERIALS AND METHODS Sampling Quantification of the number of cultivable bacteria Isolation and selection of crude-oil degrading bacteria Screening of crude-oil degrading bacteria using the redox application of 2,6-Dichlorophenolindophenol (DCPIP) Identification of the isolates Bacterial growth rate Estimation of crude oil degradation by isolated strains The measure of emulsification activity and biosurfactant production by efficient isolates Effect of the concentration of crude oil on degradation by isolated strains RESULTS Coral identification Measurement of the amount of both types of bacteria in coral samples according to CFU and MPN Screening of crude-oil degrading bacteria from coral samples Identification of bacteria Crude oil biodegradation by selected strains Ability of degradation strains in different concentrations of crude oil Ability to degrade n-alkanes isolates DISCUSSION CONCLUSIONS ACKNOWLEDGEMENTS CONFLICT OF INTERESTS REFERENCES
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