- Original article
- Open Access
Salinity effect on the metabolic pathway and microbial function in phenanthrene degradation by a halophilic consortium
© The Author(s) 2018
- Received: 1 April 2018
- Accepted: 13 April 2018
- Published: 25 April 2018
With the close relationship between saline environments and industry, polycyclic aromatic hydrocarbons (PAHs) accumulate in saline/hypersaline environments. Therefore, PAHs degradation by halotolerant/halophilic bacteria has received increasing attention. In this study, the metabolic pathway of phenanthrene degradation by halophilic consortium CY-1 was first studied which showed a single upstream pathway initiated by dioxygenation at the C1 and C2 positions, and at several downstream pathways, including the catechol pathway, gentisic acid pathway and protocatechuic acid pathway. The effects of salinity on the community structure and expression of catabolic genes were further studied by a combination of high-throughput sequencing, catabolic gene clone library and real-time PCR. Pure cultures were also isolated from consortium CY-1 to investigate the contribution made by different microbes in the PAH-degrading process. Marinobacter is the dominant genus that contributed to the upstream degradation of phenanthrene especially in high salt content. Genus Halomonas made a great contribution in transforming intermediates in the subsequent degradation of catechol by using catechol 1,2-dioxygenase (C12O). Other microbes were predicted to be mediating bacteria that were able to utilize intermediates via different downstream pathways. Salinity was investigated to have negative effects on both microbial diversity and activity of consortium CY-1 and consortium CY-1 was found with a high degree of functional redundancy in saline environments.
- Polycyclic aromatic hydrocarbons
- Metabolic pathways
- Halophilic consortium
- Community structure
- C12O pathway
- C23O pathway
Polycyclic aromatic hydrocarbons (PAHs) are wide spread petroleum pollutants that consist of two or more fused benzene rings (Haritash and Kaushik 2009). In recent years, because of the close association between saline/hypersaline environments and the petroleum industry, PAHs are found to accumulate in such environments (Debajyoti et al. 2016). Given the hyperosmosis and decreased bioavailability of PAHs, biodegradation in saline/hypersaline environments is quite difficult for traditional mesophilic microorganisms (Arulazhagan et al. 2014; Feng et al. 2012). Therefore, halotolerant and halophilic PAH-degrading microbes that show high activity in hypersaline environments have attracted increasing attention in recent years (Debajyoti et al. 2016).
Several halotolerant and halophilic microorganisms capable of degrading PAHs have been isolated from marine or other saline environments (Feng et al. 2012; Lin et al. 2014; Zhou et al. 2016), and their PAH-degrading pathways have been studied. For example, Martelella sp. AD-3 (Feng et al. 2012) isolated from saline soil has been proposed to mineralize phenanthrene by generating gentisic acid. Halophilic strain Thalassospira sp. SL5-1 (Zhou et al. 2016) has been identified to degrade pyrene through both gentisic acid and o-phthalic acid. However, little attention has been focused on the metabolic pathways in the halophilic PAH-degrading consortium (Dastgheib et al. 2012). As metabolic intermediates can be transferred among different microbes, the metabolic pathway of the PAH-degrading consortium is expected to be a more complex combination than pathways contained in pure cultures (Zafra et al. 2016; Zhao et al. 2016). Exploring the metabolic pathway of the halophilic PAH-degrading consortium is an important step in understanding the fate of PAHs in hypersaline environments (Arulazhagan and Vasudevan 2009; Debajyoti et al. 2016).
According to the studies of PAH-degrading pure cultures, PAHs can be degraded via several downstream pathways, such as catechol pathway, gentisic acid pathway and protocatechuic acid pathway. However, in the investigation of PAHs degradation by consortium, the downstream pathways had always been ignored. For example, Luan et al. detected the metabolic intermediates produced in the PAHs-degrading process by a bacterial consortium, suggesting the consortium contains multiple upstream pathways and one downstream pathway (Luan et al. 2006). Dastgheib et al. investigated the pathway of a halophilic PAH-degrading consortium with only one PAH-downstream pathway, namely catechol pathway (Dastgheib et al. 2012). The fluoranthene- and pyrene-degrading pathways of microbial consortiums have also been studied with massive intermediates and catabolic genes contained in PAH-upstream degrading process detected (Gupta et al. 2016; Zhao et al. 2016), however, only protocatechuic acid pathway have been detected in the PAHs downstream degrading process. In order to investigate the fate of PAHs in a consortium, it is very important to investigate how PAHs downstream pathways work in PAH-degradation process by consortiums (Moscoso et al. 2012), which will also give a deep vision of contribution made by different species during PAH-degrading process.
Identification of metabolites in downstream PAH-degrading pathways is often difficult as they are present in trace amounts (Luan et al. 2006). Therefore, the downstream PAH-degrading pathway must be studied by combining the detections of both metabolic intermediates and the genotypes and expression profiles of key metabolic genes involved in downstream PAH-degrading processes. Ring-hydroxylating dioxygenase (RHD), catechol 2,3-dioxygenase (C23O), catechol 1,2-dioxygenase (C12O), gentisate 1,2-dioxygenase (G12O), and protocatechuate 3,4-dioxygenase (P34O) are found to play pivotal roles during the PAHs biodegradation process (Azhari et al. 2007; Hesham et al. 2014; Táncsics et al. 2008; Wang 2007). Moreover, the present and expression of their encoding genes are measured to indicate the PAH-degrading potential (Mason et al. 2014; Paissé et al. 2012). Exploring the genotypes and expression of these genes can help to investigate the downstream pathways in a PAH-degrading consortium and the contribution made by different microbes in the PAH-degrading process.
In a previous study, a halophilic PAH-degrading consortium (CY-1) was successfully enriched under 10% salinity from petroleum contaminated soil from the Shengli oil field, which mainly consisted of genera Marinobacter, Marispirillum, and Halomonas (Wang et al. 2017). In this study, the metabolic pathway of consortium CY-1 was investigated by GC–MS. Several downstream pathways were found to coexist in the PAH-degrading process. We further analysed the effect of salinity on the community structure and expression of catabolic genes involved in these pathways by a combination of high-throughput sequencing, clone library construction, and real-time PCR of DNA and RNA. Moreover, further efforts were taken to isolate and identify the dominant species from this consortium to investigate the contribution made by the dominant genera to the PAH-degrading process in consortium CY-1. According to our knowledge, this is the first study on the metabolic pathways and effects of salinity on microbial function in halophilic PAH-degrading consortiums.
The standards of phenanthrene (98%), salicylic acid (99.5%), o-phthalic acid (99.8%), catechol (98%), protocatechuic acid (97%) gentisic acid (98%) and 1-hydroxy-2-naphthoic acid (97%) were purchased from Sinopharm Chemical Reagent Co., Ltd. (Shanghai, China). The DNAiso Reagent, Taq DNA polymerase, RNAiso Plus, DNase I, cDNA synthesis kit and SYBR® Premix Dimer Eraser™ were purchased from TaKaRa (Dalian, China).
Culture condition and phenanthrene degradation
The halophilic consortium CY-1, enriched from the contaminated soil from Shengli oil field (Wang et al. 2017), was cultured in sea salt-defined medium (SSDM) as previously described (Guo et al. 2016). This consortium was enriched and passed on NCBI database by Chongyang Wang (School of Environment, Tsinghua University, Beijing, China).
To study the salt effects on the phenanthrene degradation of CY-1, cell suspensions were added into 200 ml of SSDM with different salinity (3, 5, 10, and 20%), using phenanthrene as the sole carbon source with the initial concentration of 100 mg/l. And once after transferred into the same salinity, 3 ml samples were collected once or twice per day and then extracted using 5 ml of dichloromethane. Five flasks were used for one salinity treatment in parallel. The concentration of phenanthrene was detected using HPLC as previously described (Zhou et al. 2016).
Detection of phenanthrene metabolic intermediates
To detect the intermediates produced by CY-1 during phenanthrene degradation, 100 ml cell suspensions were collected at day 2 and day 6. Each sample was extracted under different pH values (pH = 2, pH = 7 and pH = 12) using 50 ml dichloromethane one after the other. After extraction, these three extracts were mixed and concentrated using a rotatory evaporator and then dried under a stream of high purity nitrogen. Bis (trimethylsilyl) trifluoroacetamide (BSTFA and TMCS, volume ratio: 99/1) was used as the derivatization reagent so that active hydrogen atom(s) of the phenanthrene metabolites could be replaced by the trimethylsilyl (TMS) group (Si(CH3)3), m/z 73). For each standard compound (salicylic acid, 1-hydroxy-2-naphthoic acid, o-phthalic acid, protocatechuic acid, gentisic acid, catechol and phenanthrene), 0.1 mg was dissolved in 5 ml of dichloromethane and treated with the same process as the samples. Finally, the samples and the standard compounds were detected using GC–MS (Agilent 7890A GC, Inert MSD with TripleAxis Detector, Agilent, USA) as previously described (Zhou et al. 2016).
DNA extraction, community structure detection and clone library construction
The genome DNA was extracted from consortium CY-1 cultured at 10% salinity and 3, 5, 20% salinities after transferred one times, using the DNeasy Blood & Tissue Kit (Qiagen, Germany) according to the manufacturer’s instructions. The 16S rRNA V3–V4 regions were further investigated using 454-pyrosequencing by the Sinobiocore Company (Beijing, China). The raw data had been submitted into NCBI database (accession number: SAMN07998561 to SAMN07998564).
Primers used in this study
Annealing temperatures °C
Ding et al. (2010)
Sei et al. (1999)
García et al. (2005)
Azhari et al. (2007)
Real-time PCR analyses of function genes in both DNA and RNA
To determine the copies of genes encoding C12O, C23O, G12O and P34O in total consortium DNA and their expression situations in phenanthrene degradation, DNA and RNA were extracted from samples that were collected once per day from culture growth under different salinities. DNA was extracted by the DNeasy Blood & Tissue Kit, and RNA was extracted by RNAiso according to the manufacturer’s instructions. The extracted RNA was reverse-transcribed by a cDNA synthesis kit according to the manufacturer’s instructions before conservation. Function genes and their transcripts were quantified in an iCycleriQ (Bio-Rad, USA) using the primer pairs shown in Table 1. Primers were designed according to the results obtained from the clone libraries. The standard curve for gene quantification was performed with the clones selected from each clone library. The gene expression level was calculated based on the transcript/gene ratio.
Isolation and identification of pure cultures from CY-1
Several kinds of solid media were used to isolate more strains contained in CY-1. The media were all designed on the basis of SSDM containing 3% salinity and 1.5% agar (w/w). SSDM-Y was prepared using SSDM added with yeast extract (100 mg/l) under 3% salinity. SSDM-G was prepared using SSDM added with glucose (100 mg/l) with 3% salt content. SSDM-P was prepared using SSDM under 3% salinity directly. Each kind of plate was equally distributed with phenanthrene on the surface after coagulation. After being diluted 1000 times, 100 μl of diluted cell suspension was coated at the surface of each plate. After incubation under 30 °C for 4 days, each colony was picked using inoculating loop and then transferred to another plate by streaking for further purification and growth.
Taxonomic characteristics of each strain were analysed by 16S rRNA gene sequencing with primers 8F and 1492R, as shown in Table 1. Then, we also detected whether these isolates can degrade phenanthrene. Primers for genes encoding RHD, C12O, C23O, G12O and P34O were also used to detect whether these catabolic genes existed in these isolates.
Accession numbers of sequences used in this study
All the cloned sequences in this study were submitted to NCBI database. The accession numbers of 16S rRNA cloned from the isolates were from MG386649 to MG386666. The accession numbers of the cloned catabolic genes were shown in Additional file 1: Table S1 and also shown in the related figures.
Consortium structure and phenanthrene degradation
Identification of metabolites produced in phenanthrene degradation
Metabolites detected in phenanthrene degradation by consortium CY-1
m/z of fragment ions (% relative intensity)
178 (178, 152, 89, 26)
336 (317, 243, 185, 147, 73)
282 (267, 193, 178, 149, 91, 73)
310 (295, 251, 221, 178, 103, 73)
256 (254, 239, 167, 136, 73)
370 (370, 311, 280, 223, 193, 128, 73)
369 (370, 296, 267, 252, 235, 177, 164, 150, 126, 73)
Clone libraries of metabolic genes in consortium CY-1
A total of 106 positive clones containing C23O genes were obtained in this study. The deduced amino acid sequences fell into two OTUs when 90% identity was used. OTUC23O 1 with 103 clones was the dominant C23O gene group, which was closely related to the C23O genes contained in Marinobacter. The C23O gene in Marinobacter sp. LQ44 was found with 93% identity with OTUC23O 1 cloned from CY-1. OTUC23O 2 with 3 clones was found with 95% identity with the C23O genes contained in Pseudomonas.
A total of 92 positive clones containing C12O genes were obtained, and the deduced amino acid sequences fell into 4 OTUs when 90% identity was used. OTUC12O 1 with 71 clones was most closely related to alleles from Halomonas, with 95% identity with Halomonas pantelleriensis (accession number: SDM34232) and Halomonas korlensis (accession number: SFU82093). OTUC12O 2 with 11 clones was identified with 99% identity with Halomonas taeanensis (accession number: SDF94050), and 93% identified with Halomonas sp. PBN3 (accession number: WP_023007443). OTUC12O 3 with 5 clones was closely related to C12O genes contained in Chromohalobacter sp. HS2 (accession number: ABV82780). OTUC12O 4 with 5 clones was mostly related to the C12O genes in Martelella sp. AD-3 (97% identity, accession number: WP_024708826).
Clone libraries of G12O genes were constructed with 92 positive clones, and their deduced amino acid sequences fell into 2 OTUs belonging to Halomonas spp. (72 clones) and Martelella spp. (20 clones), respectively. The predicted amino acid sequence of OTUG12O 1 showed identity with Halomonas sp. KO116 (accession number: WP_009286263) and Halomonas sp. 23_GOM-1509m N557DRAFT (accession number: WP_022521176). The predicted amino acid sequence of OTUG12O 2 showed 94% identity with G12O genes contained in Martelella sp. AD-3 (accession number: WP_024706825).
Clone libraries of P34O genes with 92 positive clones were constructed. The deduced amino acid sequences were divided with 90% identity and fell into 4 OTUs. OTUP34O 1 with 46 clones was found with 91% identity with Halomonas caseinilytica (accession number: WP_064701052) and 91% identity with Halomonas elongata (accession number: WP_041602201). OTUP34O 2 with 30 sequences was identified with 88% identity with Amorphous coralli (accession number: WP_018699830). OTUP34O 3 with 10 sequences was identified as closely related with the P34O genes contained in Martelella mediterranea (89% identity, accession number: WP_018063819); and OTUP34O 4 with 6 sequences was mostly identified with Thalassospira lucentensis (100% identity, accession number: WP_062953075).
Expression of catabolic genes
The RT-PCR reactions of genes encoding RHD, C12O, C23O, G12O and P34O were performed on both genomic DNA and RNA extracted from consortium CY-1 cultured under different salinities. As shown in Additional file 1: Figure S1, all these selected genes were induced in the PAH-degrading process, indicating that consortium CY-1 was able to completely mineralize phenanthrene at a wide range of salinities via multiple downstream pathways, namely, the C23O, C12O, G12O and P34O pathways. However, the expression levels of these catabolic genes were decreased with the increase in salinity, suggesting that high salinity can restrict the activity of microorganism even halophiles.
Pure culture isolation and identification
Identification of catebolic genes contained in species isolated form consortium CY-1
Closest strains in Genbank (accession number)
Calabolic genes encoding
Marinobacter sp. JXH-283 (KR012272)
Marinobacter sp. CL9 (HM854280)
Marinobacter sp. Xmb040 (HM854281)
Marinobacter sp. JXH-283 (KR012272)
Martelella sp. PETBA03 (JQ658408)
Halomonas sp. NIMMe9 (LC140966)
Halomonas sp. USC33 (HQ441223)
Halomonas sp. NIMMe9 (LC140966)
Halomonas sp. USC33 (HQ441223)
Halomonas sp. USC33 (HQ441223)
Marispirillum sp. B142 (NR_044545)
Chromohalobacter sp. L21-PYE-C7 (KJ187998)
Chromohalobacter sp. JC125 (HE662816)
Thalassospira sp. SW-3-3 (JX119044)
Thalassospira sp. MCCC 1A02767 (EU440828)
Alcanivorax sp. 2PR54-12 (EU440953)
Alcanivorax sp. NT N57 (AB166992)
Alcanivorax sp. 2PR54-12 (EU440953)
Although several bacterial isolates, such as Pseudomonas spp., Sphingomonas spp., and Burkholderia spp. (Haritash and Kaushik 2009; Waigi et al. 2015), were found to be able to completely mineralize PAHs by themselves, the cooperation among different bacterial species was the most important way to remove PAHs from the environment, which made it important to study PAHs biodegradation by bacteria mixtures, especially in hypersaline environments (Arulazhagan and Vasudevan 2009; Dastgheib et al. 2012; Zhao et al. 2016). Although PAHs degradation by microbe associations rather than by isolates was in accord with PAHs degradation in environments, reports are still limited regarding the metabolic mechanism of a halophilic phenanthrene-degrading consortium. As the produced metabolic intermediates could be used as substrates by other microbes, pathways of a PAH-degrading consortium were expected to be more complex than for PAH-degrading individuals. Based on the identification of metabolites, the metabolic pathway of consortium CY-1 was illustrated with a simple phenanthrene-degrading upstream pathway and several downstream pathways via catechol, gentisic acid and protocatechuic acid (Fig. 3). The produced catechol, gentisic acid and protocatechuic acid was further ring-cleaved by C12O, C23O, G12O, and P34O. The existence of various downstream pathways could help to rapidly transform intermediates and promote phenanthrene degradation by removing the toxicity generated by the accumulation of the produced intermediates (Gupta et al. 2016; Janbandhu and Fulekar 2011).
It was also important to understand the contribution made by different microbes and pathways contained in a PAH-degrading consortium. Using clone libraries of key catabolic genes contained in the phenanthrene metabolic map of consortium CY-1, the contribution of different species to phenanthrene degradation in consortium CY-1 was studied; this degradation was also identified by the isolation and identification of pure cultures. The metabolic pathways and contributions made by different microbes were postulated, as shown in Fig. 6. Marinobacter and Martelella were predicted to be responsible for the phenanthrene upstream degrading process. However, with the increase in salinity, Marinobacter was found to be more important than Martelella. According to the quantity of catabolic genes in total RNA, the dominant downstream pathway in consortium CY-1 was predicted to be the C23O pathway when 50% phenanthrene was degraded. Approximately 75% phenanthrene was predicted to be degraded through this pathway at this moment in all salinity conditions. However, this proportion decreased rapidly with the increase in degradation time. As shown in Fig. 5, the C12O pathway is predicted to be dominant in the anaphase of the phenanthrene-degrading process.
As shown in Fig. 2, consortium CY-1 was mainly composed of Marinobacter, Marispirillum and Halomonas, together with the genera of Martelella, Pseudomonas, Thalassospira, Chromohalobacter, etc. at 10% salinity. In a previous study (Wang et al. 2017), genes encoding RHDs in consortium CY-1are not conclusively shown to belong to Marinobacter strain (Fig. 3a). In this study, RHD genes were also detected in isolated Martelella spp. (Table 3), indicating that Marinobacter and Martelella together contributed to the phenanthrene upstream degradation process in CY-1. Marinobacter was first found by Hedlund et al. with an RHD closely related to nah dioxygenase (Hedlund et al. 2001). After the first discovery, Marinobacter was widely detected in PAH-polluted saline environments (Arulazhagan et al. 2014; Cui et al. 2008, 2014; Dastgheib et al. 2012; Vila et al. 2010), while the metabolic pathway of PAHs by Marinobacter was poorly reported. The nah-related PAH-degrading upstream gene cluster was once predicted to exist in Marinobacter species (Wang et al. 2017), indicating that Marinobacter may utilize phenanthrene via the same upstream pathway as Pseudomonas (Balashova et al. 1997), namely, the transformation from phenanthrene to 1-hydroxy-2-naphthoic acid, which was also detected in this study. The degradation of monoaromatic pollutants by Marinobacter has been widely studied (Berlendis et al. 2010; Dosta et al. 2011; Moxley and Schmidt 2012). Marinobacter sp. KM2 was identified as a phenol-utilizing bacterium that was able to mineralize phenol via the C23O pathway (Moxley and Schmidt 2012). The C23O gene was also located in the phenol-degrading gene cluster in the genome of Marinobacter sp. LQ44 (accession number: NZ_CP014754). In this study, genes encoding C23O were mainly investigated from Marinobacter, which was also induced in the prophase of the PAH-degrading process (Fig. 5) and detected in Marinobacter isolates (Table 3). Therefore, it was predicted that Marinobacter was the dominant genus to contribute to phenanthrene upstream degradation and to participate in phenanthrene downstream degradation via the C23O pathway in the prophase of the phenanthrene degrading process in CY-1.
The C12O pathway is also a dominant downstream pathway in consortium CY-1 that mainly originated from Halomonas. Especially in the anaphase of biodegradation, C12O genes were largely expressed and continued for a long time, suggesting that Halomonas made a large contribution to transforming the intermediates produced via phenanthrene degradation. Although it had been widely detected in the degradation of monoaromatic pollutants (Táncsics et al. 2008), this is the first time that the C12O pathway was identified as directly associated with PAHs degradation. Although detected with few copies, genes encoding G12O and P34O in Halomonas were found to be successfully induced during the phenanthrene degradation process, indicating that multiple enzymatic systems may coexist in Halomonas. These pathways were also identified in the aromatic hydrocarbon degradation process by Halomonas in previous studies (Castillo-Carvajal et al. 2014), such as Halomonas campisalis isolated by Celso et al.(Oie et al. 2007), which utilized benzoate via C12O pathway; Halomonas sp. IMPC isolated by Abdelkaf et al. was identified with the P34O pathway (Abdelkafi et al. 2006). A variety of pathways associated with aromatic hydrocarbons biodegradation were predicted to be the reason Halomonas widely discovered in PAHs contaminated marine environments (Castillo-Carvajal et al. 2014; Fathepure 2014; Yin et al. 2014).
Marispirillum, which was another dominant genus in consortium CY-1, was only once previously reported to be isolated from sea sediments (Marispirillum sp. B142) (Lai et al. 2009). In this study, the isolated strain Marispirillum sp. LB15 showed 97% identity with Marispirillum sp. B142. Marispirillum sp. LB15 was unable to grow in SSDM without a carbon source but was able to grow with the addition of yeast extract, indicating that Marispirillum was worked as a mediating bacterium in consortium CY-1. However, as no catabolic genes were detected in this strain, it was predicted that new genotypes existed in this genus. Other genera, such as Thalassospira, Chromohalobacter and Alcanivorax isolated from CY-1, were unable to utilize phenanthrene but were detected with some catabolic genes. It was predicted that these genera in consortium CY-1 were working as mediating microbes that contributed to the phenanthrene downstream degradation via multiple pathways. The utilization of the produced intermediates by mediating bacteria via different downstream pathways was predicted to be the reason the PAH-degrading rate by consortium CY-1 was much faster than isolated Marinobacter pure cultures (data not shown).
Several studies have reported the effect of salinity on the microbial community structure and enzyme activity in enriched microbial consortia (Fang et al. 2016; Guo et al. 2016; Jing et al. 2010) or the environment (Chen et al. 2017; Jing et al. 2010). The community structure of consortium CY-1 showed significant differences between culture conditions of high and low salinities (Fig. 2). The Shannon (H’) diversity indices of microbial composition when consortium CY-1 cultured under different salinities was calculated to evaluate the effect of salinity on the microbial diversity of consortium CY-1. The H’ value of consortium CY-1 cultured under 3, 5, 10 and 20% salinity were 3.03, 2.57, 2.50 and 2.43, respectively, indicating that the microbial diversity was decreased by the increased salinity. It is interesting to find that although consortium structure change a lot when cultured under 5 and 10% salinity, the degrading rate and the transcript of catabolic genes are not changed that much, suggesting CY-1 a strong functional redundancy at this salinity range. Various downstream pathways and catabolic genes redundancy were predicted to be the reason consortium CY-1 has such a high degree of functional redundancy (Chen et al. 2017; Dopheide et al. 2015). The community structure of a halophilic consortium reported by Guo et al. (2016) showed significant differences when cultured under 10 and 20% salt content. The same result was also concluded by Fang et al. (2016). In contrast to these results, the community structure of consortium CY-1 showed no significant differences when cultured at 10% and 20% salinity, indicating the community structure of consortium CY-1 was stable under hypersaline condition. However, as shown in Additional file 1: Figure S1, the transcription levels of all the catabolic genes were decreased with the increase of salinity, as well as the degradation rate of phenanthrene (Fig. 1), indicating the salinity can limit the microbial activity in halophilic consortium CY-1. Nonetheless, consortium CY-1 was identified as able to completely mineralize phenanthrene under 20% salinity as all catabolic gene were induced in the degradation process, indicating a potential use for PAHs remediation in hypersaline environments.
In summary, metabolic pathway of phenanthrene by halophilic consortium CY-1 was composed of a single upstream pathway and several downstream pathways, namely, the C12O, C23O, G12O and P34O pathway. The C23O pathway, mainly from Marinobacter, contributed more in the prophase of the PAH-degrading process; and the C12O pathway, mainly from Halomonas contributed more in the anaphase. Consortium CY-1 was able to mineralize phenanthrene in a wide range of salinities and maintain the community structure, especially in high salinity, demonstrating that consortium CY-1 has potential for the bioremediation of PAHs in hypersaline environments.
CW was the first author of this work. CW enriched the consortium, determined the community structure, measured the degradation curves, constructed the clone libraries of genes encoding RHD, C12O, C23O, G12O and P34O, prepared all the figures and tables in this study and wrote the whole framework of this manuscript. YH helped to improve the research ideas and analyze the gene related data in this study. ZZ provided the method for intermediates detection. HW modified the manuscript text; HW is the corresponding author. All authors read and approved the final manuscript.
This work was supported by the National Science Foundation of China (41573065, 51138006), and National major projects on water pollution control and management technology (2012ZX07301-001).
The authors declare that they have no competing interests.
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