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Mechanisms of Toxicity of Hydroxylated Polybrominated Diphenyl Ethers (HO-PBDEs) Determined by Toxicogenomic Analysis with a Live Cell Array Coupled with Mutagenesis in Escherichia coli Guanyong Su, Hongxia Yu,* ,Michael H. W. Lam, John P. Giesy, ,,§,and Xiaowei Zhang* ,State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210089, Peoples Republic of China State Key Laboratory in Marine Pollution, Department of Biology and Chemistry, City University of Hong Kong, Kowloon, Hong Kong, Special Administrative Region (SAR), Peoples Republic of China § Department of Biomedical Veterinary Sciences and Toxicology Centre, University of Saskatchewan, Saskatoon, Saskatchewan S7N 5B3, Canada Department of Zoology and Center for Integrative Toxicology, Michigan State University, East Lansing, Michigan 48824, United States * S Supporting Information ABSTRACT: Results of previous studies have indicated that 6-HO-BDE-47, the addition of the hydroxyl (HO) group to the backbone of BDE-47, signicantly increased the toxicity of the chemical compared to its postulated precursor analogues, BDE-47 and 6-MeO-BDE-47. However, whether such a result is conserved across polybrominated diphenyl ether (PBDE) congeners was unknown. Here, cytotoxicity of 32 PBDE analogues (17 HO-PBDEs and 15 MeO-PBDEs) was further tested and the underlying molecular mechanism was investigated. A total of 14 of the 17 HO-PBDEs inhibited growth of Escherichia coli during 4 or 24 h durations of exposure, but none of the MeO-PBDEs was cytotoxic at the concentrations tested. 6-HO-BDE-47 and 2-HO-BDE-28 were most potent with 4 h median eect concentrations (EC 50 ) of 12.13 and 6.25 mg/L, respectively, which trended to be lesser with a longer exposure time (24 h). Expression of 30 modulated and validated genes by 6-HO-BDE-47 in a previous study was also observed after exposure to other HO-PBDE analogues. For instance, uhpT was upregulated by 13 HO-PBDEs, and three rRNA operons (rrnA, rrnB, and rrnC) were downregulated by 8 HO-PBDEs. These unanimous responses suggested a potential common molecular signaling modulated by HO-PBDEs. To explore new information on mechanisms of action, this work was extended by testing the increased susceptibility of 182 mutations of transcriptional factors (TFs) and 22 mutations as genes modulated by 6-HO-BDE-47 after exposure to 6- HO-BDE-47 at the 4 h IC 50 concentration. Although a unanimous upregulation of uhpT was observed after exposure to HO- PBDEs, no signicant shift in sensitivity was observed in uhpT-defective mutants. The 54 genes, selected by cut-os of 0.35 and 0.65, were determined to be responsible for organic acid/oxoacid/carboxylic acid metabolic processpathways, which supported a previous nding. INTRODUCTION Some hydroxylated polybrominated diphenyl ethers (HO- PBDEs) have been identied as potential transformation products of polybrominated diphenyl ethers (PBDEs) and have been detected in human bodies, 1,2 which has raised concern about their potential toxicity and a need for knowledge about modes of molecular toxicity, so that accurate assessments of risk can be conducted. 3 Results of several in vivo or in vitro studies 46 suggested that PBDEs might undergo biotransfor- mation. For example, biotransformation of BDE-100 to mono- HO-PBDEs was observed in both rats 5 and mice, 4 and two mono-HO-PBDEs were identied in human hepatocytes exposed to BDE-99. 6 However, not all studies have found HO-PBDEs to be biotransformation products of PBDEs. After exposure to BDE-47 via their diet in Japanese medaka, no HO- PBDEs were detected. 7 Results of the sequential study suggested that demethylation of 6-MeO-BDE-47 was the Received: January 19, 2014 Revised: April 7, 2014 Accepted: April 9, 2014 Published: April 9, 2014 Article pubs.acs.org/est © 2014 American Chemical Society 5929 dx.doi.org/10.1021/es5003023 | Environ. Sci. Technol. 2014, 48, 59295937

Mechanisms of Toxicity of Hydroxylated Polybrominated Diphenyl

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Page 1: Mechanisms of Toxicity of Hydroxylated Polybrominated Diphenyl

Mechanisms of Toxicity of Hydroxylated Polybrominated DiphenylEthers (HO-PBDEs) Determined by Toxicogenomic Analysis with aLive Cell Array Coupled with Mutagenesis in Escherichia coliGuanyong Su,† Hongxia Yu,*,† Michael H. W. Lam,‡ John P. Giesy,†,‡,§,∥ and Xiaowei Zhang*,†

†State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210089,People’s Republic of China‡State Key Laboratory in Marine Pollution, Department of Biology and Chemistry, City University of Hong Kong, Kowloon, HongKong, Special Administrative Region (SAR), People’s Republic of China§Department of Biomedical Veterinary Sciences and Toxicology Centre, University of Saskatchewan, Saskatoon, Saskatchewan S7N5B3, Canada∥Department of Zoology and Center for Integrative Toxicology, Michigan State University, East Lansing, Michigan 48824, UnitedStates

*S Supporting Information

ABSTRACT: Results of previous studies have indicated that6-HO-BDE-47, the addition of the hydroxyl (HO) group tothe backbone of BDE-47, significantly increased the toxicity ofthe chemical compared to its postulated precursor analogues,BDE-47 and 6-MeO-BDE-47. However, whether such a resultis conserved across polybrominated diphenyl ether (PBDE)congeners was unknown. Here, cytotoxicity of 32 PBDEanalogues (17 HO-PBDEs and 15 MeO-PBDEs) was furthertested and the underlying molecular mechanism wasinvestigated. A total of 14 of the 17 HO-PBDEs inhibitedgrowth of Escherichia coli during 4 or 24 h durations ofexposure, but none of the MeO-PBDEs was cytotoxic at theconcentrations tested. 6-HO-BDE-47 and 2-HO-BDE-28 weremost potent with 4 h median effect concentrations (EC50) of12.13 and 6.25 mg/L, respectively, which trended to be lesserwith a longer exposure time (24 h). Expression of 30modulated and validated genes by 6-HO-BDE-47 in a previous study was also observed after exposure to other HO-PBDEanalogues. For instance, uhpT was upregulated by 13 HO-PBDEs, and three rRNA operons (rrnA, rrnB, and rrnC) weredownregulated by 8 HO-PBDEs. These unanimous responses suggested a potential common molecular signaling modulated byHO-PBDEs. To explore new information on mechanisms of action, this work was extended by testing the increased susceptibilityof 182 mutations of transcriptional factors (TFs) and 22 mutations as genes modulated by 6-HO-BDE-47 after exposure to 6-HO-BDE-47 at the 4 h IC50 concentration. Although a unanimous upregulation of uhpT was observed after exposure to HO-PBDEs, no significant shift in sensitivity was observed in uhpT-defective mutants. The 54 genes, selected by cut-offs of 0.35 and0.65, were determined to be responsible for “organic acid/oxoacid/carboxylic acid metabolic process” pathways, which supporteda previous finding.

■ INTRODUCTION

Some hydroxylated polybrominated diphenyl ethers (HO-PBDEs) have been identified as potential transformationproducts of polybrominated diphenyl ethers (PBDEs) andhave been detected in human bodies,1,2 which has raisedconcern about their potential toxicity and a need for knowledgeabout modes of molecular toxicity, so that accurate assessmentsof risk can be conducted.3 Results of several in vivo or in vitrostudies4−6 suggested that PBDEs might undergo biotransfor-mation. For example, biotransformation of BDE-100 to mono-HO-PBDEs was observed in both rats5 and mice,4 and two

mono-HO-PBDEs were identified in human hepatocytesexposed to BDE-99.6 However, not all studies have foundHO-PBDEs to be biotransformation products of PBDEs. Afterexposure to BDE-47 via their diet in Japanese medaka, no HO-PBDEs were detected.7 Results of the sequential studysuggested that demethylation of 6-MeO-BDE-47 was the

Received: January 19, 2014Revised: April 7, 2014Accepted: April 9, 2014Published: April 9, 2014

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primary pathway leading to formation of 6-HO-BDE-47 inmedaka, while the previously hypothesized formation of HO-PBDEs from synthetic BDE-47 did not occur.8 Because HO-PBDEs can have a natural origin or be derived from syntheticbrominated flame retardants, more attention is being paid tothe HO-PBDEs, some of which are more potent for end pointsthan the postulated precursor PBDEs and correspondingmethoxylated polybrominated diphenyl ethers (MeO-PBDEs).3 The fact that HO-PBDEs, including 6-HO-BDE-47were detected in human blood,1 has led to interest in thepotential of HO-PBDEs to modulate gene expression and ledto toxicity. Assessment of PBDEs and their analogues hasmostly focused on their nuclear-hormone-receptor-mediated

potency3,9−11 or effects on reproduction12 or neurotoxicity.13

However, the generic toxic potency and the underlyingmolecular mechanisms of these brominated compounds hadnot been investigated previously.Genome-wide transcriptional investigations, such as whole

cell arrays,14,15 are high-throughput methods to determinetoxicological mechanisms of target chemicals and could serve asa tool for a number of reverse genetic approaches. Unlikemicroarray technology, the live cell array can avoid complexprotocols of pretreatment, high-cost experimental materials,interferences, and lack of temporal resolution but can achievecomparable results, such as toxicity identification and pollutant-specific molecular fingerprints.16 From the use of genome-wide

Figure 1. Structures of 17 HO-PBDE and 15 MeO-PBDE analogues.

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live cell arrays, cytotoxicity of 6-HO-BDE-47 and its twoanalogues, BDE-47 and 6-MeO-BDE-47, and the associatedmolecular mechanisms had already been assessed in previousstudies, which indicated that potency of 6-HO-BDE-47 toinhibit growth of Escherichia coli was greater than its postulatedprecursor BDE-47 and corresponding 6-MeO-BDE-47 andidentified potential pathways and transcriptional networksmodulated by 6-HO-BDE-47.15 However, whether such amechanism is conserved across PBDE congeners was unknown.Recently, the gene loss-of-function screen assay providesanother new resource for not only systematic analyses ofunknown gene functions and gene regulatory networks but alsogenome-wide testing of mutational effects in E. coli K-12.17

Changes in sensitivities of mutants offers another way of furthercharacterizing mechanisms of action and might be a goodaddition to newly developed high-throughput studies.18

In previous studies,15 the addition of the hydroxyl (HO)group to the backbone of BDE-47 normally caused stronger

potency that that of the methoxy (MeO) functional group. Toinvestigate whether this effect occurs among various PBDEcongeners, cytotoxicity of 32 PBDE analogues (17 HO-PBDEsand 15 MeO-PBDEs) was tested. The results of those studiessuggested that only HO-PBDEs can cause toxicity to E. coli atconcentrations that do not exceed solubility. To explorepossible common molecular signaling among different HO-PBDE congeners, 30 genes modulated by 6-HO-BDE-47 werealso assessed for transcriptional responses of E. coli to 16 otherHO-PBDEs. Then, using 6-HO-BDE-47 as a model chemical,182 gene knockout mutants, including all transcriptional factors(TFs) and modulated genes by 6-HO-BDE-47, were assessedto determine shifts in sensitivity after exposure to 6-HO-BDE-47 at the IC50. On the basis of shifts in patterns of sensitivity, anassessment of transcriptional networks, including all TFs, wasconducted to determine possible mechanisms of toxicity of 6-HO-BDE-47.

Figure 2. Quantitative expressions of 30 genes in E. coli after a 4 h exposure to 17 HO-PBDE analogues. The fold change of gene expression isindicated by the color gradient on the right. The chemical and gene identifiers can be found on the right and bottom of the plot, respectively.

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■ MATERIALS AND METHODS

Chemicals and Reagents. Analogues of PBDEs, including17 HO-PBDEs (Figure 1) and 15 MeO-PBDEs (see Figure S1of the Supporting Information), were synthesized in theDepartment of Biology and Chemistry of City University ofHong Kong following previously published methods.19 Puritiesof the synthesized compounds were determined to be greaterthan 98%. The results of proton nuclear magnetic resonance(1H NMR) and electrospray liquid chromatography−tandemmass spectrometry (LC−MS/MS) were used to determine thatunwanted intermediates and end products were not producedduring the synthesis. In particular, there were no detectiblepolybrominated dibenzo-p-dioxins/furans.8

Live Cell Array and E. coli Keio Collection. Themicrobial live cell array collection, including more than 1800of 2500 promoters in the entire genome of E. coli K-12 strainMG1655, was used to assess differential expression or genes byuse of previously described methods.15 Each of the reporterstrains was coupled with a bright, fast-folding green fluorescentprotein (GFP) fused to a full-length copy of an E. coli promoterin a low-copy plasmid. This enabled measurement of expressionof genes within minutes with high accuracy and reproducibility.The tested knockout clones (strain background: E. coli K-12BW25113) carried a deletion of a single gene, with a kanamycinresistance gene serving as the replacement, which weredeveloped as a collaboration between the Institute forAdvanced Biosciences, Keio University (Tokyo, Japan), NaraInstitute of Science and Technology (Ikoma, Japan), andPurdue University (West Lafayette, IN). All clones from eitherlive cell array or gene knockout collections were grown at 37 °C

in lysogeny broth (LB)−Lennox media plus 25 mg/Lkanamycin.

Cytotoxicity. Stock solutions of test chemicals (2000 mg/mL) were prepared in dimethyl sulfoxide (DMSO, Tedia,Fairfield, OH), and other stock solutions were made by serialdilution with DMSO. Eight different concentrations of HO-PBDE analogues (100, 25, 6.4, 1.6, 0.39, 0.098, 0.024, or 0.006mg/L) (n = 3) were used in the E. coli cytotoxicity test. After 4or 24 h of incubation at 37 °C, growth of E. coli was determinedby measurement of optical density (OD) at 600 nm, by use of aSynergy H4 hybrid microplate reader (BioTek Instruments,Inc., Winooski, VT). In parallel, 10 μL of Alamar blue (BeijingCellChip Biotechnology, Inc., Beijing, China) was added to 150μL of LB medium for each well to assess cell viability after 3 hof incubation, according to the ratio. Alamar blue was known tobe nontoxic to cells. After cells were stained with Alamar bluefor 1 h, blue−red fluorescence was detected by a Synergy H4hybrid microplate reader (excitation/emission, 545/590 nm)(BioTek Instruments, Inc., Winooski, VT).

Expression of Genes. Exposure was performed with aslight modification of previously described methods.20 Strainsof E. coli were inoculated into a fresh 96-well plate from a 96-well stock plate by use of disposable replicators (Genetix, SanJose, CA). Cells were incubated at 37 °C for 3.0 h in a 96-wellplate and then transferred into a 384-well plate. Finally, 3.79 μLof DMSO (solvent control) or chemical stock solutions wereadded into individual wells on the 384-well plate to make a finalconcentration of 0, 1, 10, and 100 mg of chemical/L, except for2′-HO-BDE-28 and 6-HO-BDE-47. These two chemicals, 2′-HO-BDE-28 and 6-HO-BDE-47, killed E. coli at a concen-tration of 100 mg/L, and their exposure concentration were

Figure 3. Real-time, quantitative expression of uhpT in E. coli after exposure to various HO-PBDE analogues. Exposure to lesser, moderate, andgreater concentrations of target compounds was represented by the lower, middle, and upper bands in each gene column. The fold change of geneexpression is indicated by the color gradient on the right, and the time course of expression changes is indicated from left to right.

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made up to be 0, 0.01 × EC20, 0.1 × EC20, and EC20,respectively. GFP intensity of each well was consecutivelymonitored every 10 min for 4 h by a Synergy H4 hybridmicroplate reader (excitation/emission, 485/528 nm) (BioTekInstruments, Inc., Winooski, VT).Assessment of Shifts in Sensitivities. To characterize the

sensitivity of specific gene knockout strains, clones of interestwere screened by comparing to the 4 h IC50 concentration of 6-HO-BDE-47 obtained in the initial wide-type screen in tworounds. After thawing, clones of interest were inoculated fromthe stock plates into a 15 mL centrifuge tube with freshmedium and pre-cultured overnight for the sensitivity screen-ing. In each clone of each round, there was also a “control”group in two replicates without target chemical addition toensure its robust growth. All conditions were duplicated. Plateswere incubated at 37 °C for a 3 or 23 h period for a total of 4 or24 h exposure, and then 4 μL of Alamar blue was added to 75μL of LB medium for each well to assess cell viability. After 1 hof incubation with Alamar blue, the blue−red fluorescence was

detected by a Synergy H4 hybrid microplate reader (excitation/

emission, 545/590 nm).Statistical Analysis and Data Visualization. Structures

of HO-PBDE analogues were generated with ChemBioDraw

Ultra 11.0 (Figure 1). A gene expression heat map of uhpT was

conducted by use of R software (Figure 2). For temporal gene

expression, a linear regression model was applied to select

promoter reporters, of which expression was significantly

differentiated relative to exposure to the chemicals (Figure

3). Genes were considered to be altered significantly only when

their p values were less than 0.001. The TF−TF interactions

were looked up in a RegulonDB database, and the visualized

transcriptional network was conducted by use of Cytoscape,

version 2.6.0 (Figure 4).21 Gene set enrichment analysis

(GSEA) was performed on R version 3.0.2 using the “GOstats”

package, with R script tailored to E. coli.

Figure 4. Shifts in sensitivity of TF-defective mutants by exposure to 6-HO-BDE-47 and their regulated network in E. coli. Each gene is displayed bya circular node, and the transcriptional interaction between TF−TF is indicated by an arrow edge. Different colors in the node represent the E. coligrowth against the 4 h IC50 concentration of 6-HO-BDE-47. Green nodes represented resistant strains using a cutoff of 0.65; blue nodes representedsensitive strains using a cutoff of 0.35; and the white nodes represented the strains with no significant sensitivity changes. The pink nodes representgenes that are absent in the E. coli Keio collection.

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■ RESULTS AND DISCUSSION

Cytotoxicity. After a 4 or 24 h exposure, no inhibition ofcell division was observed for 15 MeO-PBDEs at concen-trations ranging from 0 to 25 mg/L. However, cell division of E.coli cells was significantly inhibited after exposure to 14 of 17HO-PBDEs, especially for 6-HO-BDE-47 and 2′-HO-BDE-28,which showed a concentration-dependent effect including totalinhibition of growth of bacterial at 100 mg/L (Table 1). Thisfinding indicated that HO-PBDEs were more cytotoxic to E.coli cells than MeO-PBDEs. The more cytotoxic potency HO-PBDEs was also reported in previous publications involvingH295R cells10 or zebrafish embryos.22 Differences between thetwo functional groups, HO or MeO, were presumed to be themain reason for the observed differential toxic potencies.Hydroxyl groups can form hydrogen bonds with watermolecules to enhance water solubility and also play animportant role in enzymatic reactions. Among the 17 testedHO-PBDEs, 6-HO-BDE-47 and 2′-HO-BDE-28 were mostcytotoxic, with median effect concentrations (EC50) of 12.13and 6.25 mg/L with a 4 h exposure, respectively. When theduration of exposure was 24 h, the EC50 values of 6-HO-BDE-47 and 2′-HO-BDE-28 were 9.68 and 4.28 mg/L, respectively,which indicated that longer term exposure to HO-PBDEsresulted in greater toxicity to E. coli. Both 6-HO-BDE-47 and2′-HO-BDE-28 have been shown to be produced natu-rally,2,23,24 and humans might be exposed to these chemicalsvia consumption of sea food.25

Profiles of Gene Expressions. Expression of 30 genes thathad been shown previously to be modulated by 6-HO-BDE-47in the microbial reporter stains was also observed after exposureto 16 other HO-PBDE analogues and exhibited both time- andconcentration-dependent responses (see Figure S4 of theSupporting Information). Each specific HO-PBDE analogueinduced a different pattern of expression of genes, whichsuggested complex mechanisms of effects of HO-PBDEs ontoxicogenomic responses. However, common molecular signalswere also observed in profiles of expression of genes. A total of8 of 30 genes, evgA, hupB, rrnB, f lgM, rrnA, rrnC, serU, anduhpT, can be modulated by more than 10 HO-PBDE analogues(see Figure S2 of the Supporting Information), which indicated

that E. coli might undergo several similar molecular pathwayswhile exposed to different HO-PBDE analogues. After a 4 hexposure, fold changes of 30 genes were reported in a heat map(Figure 2), which showed that exposure to HO-PBDEs resultsin fewer upregulated gene reporter stains than downregulatedstrains. The gene uhpT was classified into one group from theother 29 genes and mainly showed an upregulated profile.Three rRNA operons (rrnA, rrnB, and rrnC) were

consistently downregulated following exposure to HO-PBDEs, while uhpT was upregulated by 14 HO-PBDEanalogues (Figure 3 and see Figure S3 of the SupportingInformation). In E. coli, the uhpT gene, a Pi-linked hexosephosphate antiport carrier,26 is a member of the majorfacilitator superfamily, which can catalyze active transport ofsugar phosphates by an obligatory exchange mechanism.Expression of uhpT is controlled by a two-componentregulatory system consisting of histidine kinase uhpB and theresponse regulator uhpA,27 which are normally involved inresponses of bacteria to environmental stimuli.28 Fosfomycin isknown to be transported into cells via the glpT and uhpTtransporters,29 which indicated that disturbance of glucose-6-phosphate acquisition might be a common signaling responseduring exposure to HO-PBDEs. In mammals, the alignment ofthe sequence of amino acids suggested that uhpT belongs to afamily of transporters of phosphorylated metabolites, includingthe glucose-6-phosphate transporter,30 which also posed anindication related to membrane transporter disease afterexposure to HO-PBDEs in mammals. The three rRNA operons(rrnA, rrnB, and rrnC) belong to 16S rRNA, which is acomponent of the 30S small subunit of prokaryotic ribosomes.Because of its high conservation between different species ofbacteria and archaea, these genes were usually used forphylogenetic studies.31 The 16S rRNAs also play an importantrole in subunit association and translational accuracy inbacteria. Downregulation of the rRNA operons by HO-PBDEs might be another common signaling adaptive response.

Shifts in Sensitivities of Mutants. The gene loss-of-function screen assay provides another new method forgenome-wide testing of mutational effects for specific cytotoxiccontaminants,17 such as zinc-containing nanoparticles.18

Table 1. Cytotoxicity End Points of 17 HO-PBDEs after a 4 and 24 h Exposure to E. colia

compounds 24 h EC50b (mg/L) 4 h EC50 (mg/L) 24 h LOECc (mg/L) 4 h LOEC (mg/L) 24 h MIId (%) 4 h MII (%)

4-HO-BDE-90 NAe NA 100 NA 13 NA3-HO-BDE-100 NA NA 100 NA 13 NA2′-HO-BDE-66 NA NA 100 100 23 212′-HO-BDE-68 NA NA 25 NA 24 NA6-HO-BDE-85 NA NA 25 100 27 142-HO-BDE-123 NA NA 6.25 NA 27 NA5-Cl-6-HO-BDE-47 NA NA 25 NA 29 NA6-HO-BDE-90 NA NA 6.25 NA 31 NA6′-Cl-2′-HO-BDE-68 NA NA 25 NA 32 NA2′-HO-BDE-28 4.28 6.52 6.25 6.25 100 1006-HO-BDE-47 9.61 12.13 1.56 6.25 100 1006′-HO-BDE-17 NA NA NA 100 NA 114′-HO-BDE-17 NA NA NA 25 NA 143′-HO-BDE-7 NA NA NA 100 NA 162′-HO-BDE-7 NA NA NA NA NA NA4′-HO-BDE-49 NA NA NA NA NA NA2′-HO-BDE-25 NA NA NA NA NA NA

aVaules are shown as the mean of three replicates. b“EC50” means “median effect concentration”. c“LOEC” means “lowest observed effectconcentration”. d“MII” means “maximum inhibition induction”. e“NA” means “not achieved”.

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Considering that 6-HO-BDE-47 was strongly cytotoxic to E.coli, a mutant library, including 182 mutations in TFs and 22mutations as genes modulated by 6-HO-BDE-47, wasconstructed to assess shifts in their sensitivities after exposureto 6-HO-BDE-47 at the IC50 for 4 h. Some genes that areessential for growth of bacteria are not available in the E. coliKeio collection. For each mutated strain, cytotoxicity wasdetermined in two cycles. Information on inhibition collectedin two rounds was fitted to a linear function (y = x) withadjusted R2 values of 0.9530 or 0.9158 after 4 or 24 h exposure,respectively, which ensured its robustness (see Figure S5 of theSupporting Information). Differences in cytotoxicity between 4and 24 h exposure groups were also compared via their 95%confidence ellipses of mean or prediction over the collecteddata points (see Figure S5 of the Supporting Information).Responses observed after a 24 h exposure tended to be lessthan those after a 4 h exposure, which indicated that themutants would exhibit stronger inhibition after a longerduration of exposure.Great concerns existed on the relationships among different

high-throughput screening technologies. For example, correla-tions between “sensitivity profiles” and results of studies withmicroarrays have been proposed previously, but few correla-tions were observed between profiles of genes during globalgenome monitoring and sensitivity of mutants of E. coli.17,32 Toexplore potential relationships between expression genes andprofiles of sensitivities of mutants, 22 selected genes that weremodulated by the model chemical 6-HO-BDE-47 were alsoassessed to determine sensitivities of mutant cell lines afterprior exposure to the IC50 concentration of 6-HO-BDE-47 for 4h. Here, growth of 22 mutation strains, expressed as the ratiobetween the exposed and control, ranged from 0.34 ± 0.03 to0.69 ± 0.04. Although expression of uhpT can be modulated bymost of the tested HO-PBDE analogues, growth of its mutationstrain was not significantly different from growth of the wide-type strain. After exposure to 6-HO-BDE-47, no clear evidenceof a relationship between expressions of genes and shifts insensitivity of growth of mutation strains was observed in thisresearch.A mutation library consisting of a whole transcriptional

network in E. coli was also introduced during the study, theresults of which are presented here to study changes insensitivity to exposure to 6-HO-BDE-47 against the 4 h IC50concentration (Figure 4). In molecular biology and genetics, aTF is usually regarded as one of the most common mechanismsused by cells to control when genes are switched on or off.33

TFs are also known as one of the groups of proteins that readand interpret the genetic “blueprint” in DNA, by binding toDNA and helping to initiate a program of increased ordecreased gene transcription. RegulonDB, the primaryreference database of the best-known regulatory network ofany free-living organisms, has summarized 202 TFs and theirassociated TF−TF transcriptional relationships (see Table S1of the Supporting Information), which make it easier todetermine how a particular TF interacts with multiple otherTFs while in up- or downregulated situations.34 On the basis oftheir observed interactions among all TFs, changes in sensitivitywere observed over the entire transcriptional network. Based ongrowth cutoffs of 0.35 and 0.65, 8 and 46 strains were selectedas those carrying the most sensitive and resistant genes to 6-HO-BDE-47. Because of their important roles in development,intercellular signaling, and cell cycle, mutations in TFs areassociated with specific diseases in organisms.35 Here, the 54

mutant strains affected by 6-HO-BDE-47 were also taken asselected genes for a hypergeometric-based test, and this geneontology (GO) term association analysis strongly suggestedthat 6-HO-BDE-47 caused toxicity to bacteria through an“organic acid metabolic process”, an “oxoacid metabolicprocess”, and a “carboxylic acid metabolic process” (p < 0.05;see Table S2 of the Supporting Information). HO-PBDEscontain the phenol group, which can confer weak acidity and begenerally referred to as organic acids. This finding supported aprevious report that 6-HO-BDE-47 was difficult to betransformed into other corresponding products during in vitromicrosomal exposure studies.7

Implications. PBDEs and their metabolites (HO-PBDEsand MeO-PBDEs) are of interest because of their potentialeffects on people,36−38 especially HO-PBDEs, which showed amore potent receptor activity compared to those of the parentPBDEs and corresponding MeO-PBDEs.3,15,25 Previous studiesshowed that HO-PBDEs were detected even in human blood,1

which indicated that formation of HO-PBDEs from PBDEsmight occur via endogenous transformation. Studies alsoshowed that HO-PBDEs can be formed from naturallyoccurring MeO-PBDEs7,8,23 and can be detected in variousmarine organisms,25,39 which also posed another route ofdietary exposure to HO-PBDEs by humans, this observationresulted in considerable concern about the toxic mechanism ofthese accumulative transformation products of naturallyoccurring and synthetic PBDEs. In our study, HO-PBDEsinhibited growth of E. coli rather than MeO-PBDEs, whichranked HO-PBDEs to an even greater risk. We also found thatseveral similar molecular signalings would be modulated afterexposure to different HO-PBDEs. For example, uhpT can beupregulated by 13 of the 17 HO-PBDEs, and three rRNAoperons (rrnA, rrnB, and rrnC) can be downregulated by 8 HO-PBDEs, which proposed possible mechanism of toxicity of HO-PBDEs. Further work should be conducted to uncoverconnections between the molecular responses in prokaryoticand eukaryotic cells and to investigate the toxicity potencies ofHO-PBDEs in human cells.

■ ASSOCIATED CONTENT*S Supporting InformationTranscriptional relationships between TFs summarized byRegulonDB (RegulonDB, version 8.0), also known as theprimary reference database of the best-known regulatorynetwork of any free-living organisms (Table S1), gene setenrichment analysis on 54 sensitive-shift genes to 6-HO-BDE-47 against the 182 TF mutations in the Keio collection (TableS2), structures of 15 MeO-PBDE analogues (Figure S1),altered genes by different HO-PBDEs (Figure S2), real-time,quantitative expression of rrnA/B/C/H in E. coli after exposureto various HO-PBDE analogues (Figure S3), real-time,quantitative determination of mRNA abundances as measuresof 30 selected genes in E. coli after exposure to 17 HO-PBDEanalogues (Figure S4), and linear fitting of data points collectedin two cycles to demonstrate shifts in sensitivities of mutantspre-exposed for 4 h to the IC50 concentration of 6-HO-BDE-47(Figure S5). This material is available free of charge via theInternet at http://pubs.acs.org.

■ AUTHOR INFORMATIONCorresponding Authors*Telephone: 86-25-83593649. Fax: 86-25-83707304. E-mail:[email protected].

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*Telephone: 86-25-83593649. Fax: 86-25-83707304. E-mail:[email protected].

NotesThe authors declare no competing financial interest.

■ ACKNOWLEDGMENTS

The research was supported by the National Natural ScienceFoundation of China (Grant 21322704) and the NationalHigh-Tech Research and Development Program of China (863Program, Grant 2013AA06A309). This project was alsosupported by the Jiangsu Provincial Key Technology Researchand Development Program (BE2011776) and the Collabo-rative Innovation Center for Regional Environmental Quality.John P. Giesy was supported by the program of 2012 “HighLevel Foreign Experts” (GDW20123200120) funded by theState Administration of Foreign Experts Affairs, the People’sRepublic of China to Nanjing University, and the EinsteinProfessor Program of the Chinese Academy of Sciences. JohnP. Giesy was also supported by the Canada Research ChairProgram and a Visiting Distinguished Professorship in the StateKey Laboratory in Marine Pollution, Department of Biologyand Chemistry, City University of Hong Kong.

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Mechanisms of Toxicity of HO-PBDEs Determined by Toxicogenomic Analysis with 1

Live Cell Array Coupled with Mutagenesis in E. coli 2

3

Guanyong Su1, Hongxia Yu

1,*, Michael H. W. Lam

3, John P. Giesy

1,2,3,4, Xiaowei Zhang

1,* 4

5 1 State Key Laboratory of Pollution Control and Resource Reuse & School of the Environment, Nanjing 6

University, Nanjing, China 7

8 2 Department of Biomedical Veterinary Sciences and Toxicology Centre, University of Saskatchewan, 9

Saskatoon, SK S7N 5B3, Canada 10

11 3 Department of Biology & Chemistry and State Key Laboratory in Marine Pollution, City University of 12

Hong Kong, Kowloon, Hong Kong, SAR, China 13

14 4 Department of Zoology, and Center for Integrative Toxicology, Michigan State University, East Lansing, 15

MI, USA 16

17

18

Authors for correspondence: 19

School of the Environment 20

Nanjing University 21

Nanjing, 210089, China 22

Tel: 86-25-83593649 23

Fax: 86-25-83707304 24

E-mail: 25

[email protected] (Hongxia Yu) 26

[email protected] (Xiaowei Zhang) 27

28

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29

Table S1. Transcriptional relationships between transcriptional factors summarized by RegulonDB 30

(RegulonDB v8.0), also known as the primary reference database of the best-known regulatory network of 31

any free-living organisms (In the following table, “TF 1” and “TF 2” represent transcription factor names; 32

“Re” means “regulated” (+activator, -repressor, +-dual, ?unknown).1 33

TF 1 Re TF 2 TF 1 Re TF 2 TF 1 Re TF 2 TF 1 Re TF 2 TF 1 Re TF 2 TF 1 Re TF 2 TF 1 Re TF 2 TF 1 Re TF 2

acrr - acrr crp + glcc csgd ? csgd fis + hns h-ns - appy lexa - yafq norr - norr rcsab + rcsa

ada + ada crp + glng cspa + hns fis + hupa h-ns - bola lldr +- lldr nsrr - dsdc rcsb - gadx

ada - ada crp - glng cusr + cusr fis - hupb h-ns - cadc lldr - lldr nsrr - fear rcsb + ydeo

ada + aidb crp + glpr cynr - cynr fis + mara h-ns - caif lrha - flhc nsrr - fhla relb - relb

adiy + gadx crp + gutm cysb + cbl fis + marr h-ns - evga lrha - flhd nsrr - fliz relb - rele

agar - agar crp + hupa cysb - cysb fis + maze h-ns + flhc lrha + lrha nsrr - ihfa relb-rele - relb

aidb - aidb crp + hupb cytr - cytr fis - mtlr h-ns + flhd lrp - aidb nsrr - lrp relb-rele - rele

alas - alas crp + hyfr dan + ttdr fis - xylr h-ns + fliz lrp - lrp nsrr - norr rhar + rhar

allr - alls crp + idnr dcur + dpia flhdc + fliz h-ns - gade lrp + malt ntrc + cbl rhar + rhas

alsr - rpir crp + laci dhar - dhar fliz - csgd h-ns - gadw lrp + stpa ntrc + glng rhas + rhar

arac + arac crp + lsrr dinj - dinj fliz - flhc h-ns - gadx lrp + yeil ntrc - glng rhas ? rhar

arac +- arac crp + mali dinj - yafq fliz - flhd h-ns + gutm lsrr - lsrr ntrc + nac rhas + rhas

arac - arac crp - mali dnaa +- dnaa fliz - gade h-ns - hdfr lysr - lysr ompr - bola rhas ? rhas

arca - beti crp + malt dnaa - dnaa fliz - mlra h-ns - hns mali - mali ompr + csgd rob + mara

arca + dpia crp + mara dpia - appy fucr + fucr h-ns - leuo mara + mara ompr - flhc rob + marr

arca - fnr crp + marr dpia + dpia fur - flhc h-ns - lrp mara + marr ompr - flhd rob - rob

arca + gadx crp + maze dsdc - dsdc fur - flhd h-ns + maze mara + puta oxyr + fur rsta - csgd

arca - lldr crp + melr evga + evga fur - fnr h-ns - nhar mara - rob oxyr - oxyr rutr - gadw

arca - puur crp + mhpr evga + gade fur - fur h-ns - rcsa marr - mara pdhr - pdhr rutr - gadx

arca + xylr crp + mlc evga + ydeo fur - metj h-ns - rcsb marr - marr pepa - pepa rutr - nemr

argp - argp crp - mlc exur - exur fur - nac h-ns + srlr mata + ecpr phob + argp rutr - rutr

argp + dnaa crp + mtlr exur - uxur fur - purr h-ns - stpa mata - flhc phob - cra sdia + gadw

argr - argr crp +- nagc fnr + arca fur - soxr h-ns - ydeo mata - flhd phob + cusr sgrr - sgrr

arsr - arsr crp + ompr fnr - arca fur - soxs hcar - hcar mata - fliz phob - fear soxr - soxr

ascg - prpr crp - ompr fnr + cadc gade + gade hdfr - flhc maze - maze phob + gadw soxr + soxs

asnc - asnc crp + oxyr fnr + caif gade + gadw hdfr - flhd melr + melr phob + gadx soxs + fur

baer + baer crp + pdhr fnr + dcur gade + gadx hipab - hipb melr - melr phob + phob soxs + mara

basr + csgd crp + prpr fnr - dpia gade + lrp hipb - hipb metj - metr phob - prpr soxs + marr

basr - puta crp + rbsr fnr + fhla gade + rcsa hyfr + hyfr metr - metr phob + ydfh soxs - rob

beti - beti crp + rhar fnr - fnr gade-rcsb+ gadx ihf + csgd mlc - malt phop + cysb soxs - soxs

bglj + leuo crp + rhas fnr - gadw gadw + gade ihf + fhla mlc - mlc phop + gade stpa - leuo

crp + arac crp + srlr fnr - gadx gadw - gadw ihf + fis mlra + cadc phop + gadw stpa - stpa

crp + caif crp + tdca fnr - hyfr gadw +- gadx ihf - flhc mlra + csgd phop + phop tdca + tdca

crp + chbr crp + uxur fnr - nac gadw - gadx ihf - flhd mngr - mngr phop - phop tdcr + tdca

crp - comr crp + xylr fnr - narl gadx + gade ihf + fnr mode + narl phop + rsta torr - gadx

crp + crp crp - yiaj fnr + nikr gadx + gadw ihf + hipb mpra - mpra phop - trer torr - torr

crp - crp crp + zrar fnr +- pdhr gadx - gadw ihf - ihfa mtlr - mtlr phop - ydeo trpr - trpr

crp + csgd cadc + cadc fnr - soxr gadx + gadx ihf - ihfb murr +- murr prpr - prpr tyrr - tyrr

crp +- cytr cdar + cdar fnr - soxs gadx + hns ihf - ompr nac - asnc pspf - pspf uidr - uidr

crp + dcur chbr +- chbr fnr + tdca galr - galr ihf + tdca nac - nac purr - purr uxur - uxur

crp - dpia cpxr + baer fnr - yeil galr - gals ihf + yeil nagc - chbr puta - puta xylr + xylr

crp + fear cpxr + cpxr fnr + yqji gals - galr ihf - yiaj nagc - creb puur - puur ydeo + gade

crp + fis cpxr - csgd fadr + fadr gals - gals iclr - iclr nagc - nagc qseb + flhc ydeo - ydeo

crp +- fis cra + beti fadr + iclr gcva - gcva idnr + idnr narl - caif qseb + flhd yefm - yefm

crp + flhc cra + csgd fhla + fhla glcc - glcc ilvy - ilvy narl - dcur qseb + qseb yeil + yeil

crp + flhd cra - glcc fhla + hyfr gntr - idnr iscr - iscr narl - dpia rbsr - rbsr yiaj - yiaj

crp + fucr cra - mara fis - crp gutm + gutm leuo - cadc narl - nikr rcda + csgd yqji - yqji

crp + fur cra - marr fis - fis gutm + srlr leuo + leuo nemr - nemr rcnr - rcnr zrar + zrar

crp - gade cra - mtlr fis - gadx gutr - gutm leuo +- leuo nhar + nhar rcsab - csgd

crp - gadx cra - pdhr fis - glcc gutr - srlr lexa - dinj nhar ? nhar rcsab - flhc

crp + gals csgd + csgd fis + glng h-ns - adiy lexa - lexa nikr - nikr rcsab - flhd 34

35

36

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Table S2. Gene Set Enrichment Analysis on 54 sensitive-shift genes to 6-HO-BDE-47 against the 182 TF 37

mutations in Keio collection. (The association of gene ontology was performed by R 3.0.2 version using 38

“GOstats” package. The universe and selected genes were defined according 182 mutations in the Keio 39

collection and 54 selected sensitive or resistant genes, respectively. The analysis was conducted basing on 40

the biological processing (BP) GO ontology. The revised R script, which was tailored according to E. coli 41

strain MG1655, is available upon request.) 42

GOBPID P-value OddsRatio ExpCount Count Size Term

1 GO:0006082 0.01 3.07 7.91 13 25 organic acid metabolic process

2 GO:0043436 0.01 3.07 7.91 13 25 oxoacid metabolic process

3 GO:0019752 0.01 3.07 7.91 13 25 carboxylic acid metabolic process

4 GO:0044281 0.02 2.73 9.80 15 31 small molecule metabolic process

5 GO:0005976 0.03 Inf 0.95 3 3 polysaccharide metabolic process

6 GO:0009309 0.03 Inf 0.95 3 3 amine biosynthetic process

7 GO:0044106 0.03 Inf 0.95 3 3 cellular amine metabolic process

8 GO:0042401 0.03 Inf 0.95 3 3 cellular biogenic amine biosynthetic process

9 GO:0016051 0.03 Inf 0.95 3 3 carbohydrate biosynthetic process

10 GO:0000271 0.03 Inf 0.95 3 3 polysaccharide biosynthetic process

11 GO:0006576 0.03 Inf 0.95 3 3 cellular biogenic amine metabolic process

12 GO:0009308 0.03 9.58 1.58 4 5 amine metabolic process

13 GO:0006520 0.05 2.59 6.32 10 20 cellular amino acid metabolic process

43

44

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Figure S1 Structures of 15 MeO-PBDEs analogues. 45

46

47

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Figure S2 Altered genes by different HO-PBDEs (sky blue: not altered; light pink: altered) 48

49

50

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Figure S3. Real-time, quantitative expression of rrnA/B/C/H in E. coli after exposure to various HO-PBDEs 51

analogues. Exposure to lesser, moderate and greater concentration of target compounds were represented 52

by the lower, middle and upper bands in each gene column. The fold change of gene expression is 53

indicated by color gradient on the right, and the time course of expression changes is indicated from left to 54

right. 55

56

57

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Figure S4. Real-time, quantitative determination of mRNA abundances as measures of 30 selected genes in 58

E. coli after exposure to 17 HO-PBDEs analogues. Exposures to low, medium and high concentration of 59

HO-PBDE were represented by the lower, middle and upper bands in each gene column. Classification 60

and visualization of the gene expression were derived by use of ToxClust2. The dissimilarity between genes 61

was calculated by the Manhattan distance between the gene expressions at all the concentration vs. time 62

combinations. The fold change of gene expression is indicated by color gradient, and the time course of 63

expression changes is indicated from left to right. 64

65

6-HO-BDE-90 66

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67

6-HO-BDE-85 68

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69

5-Cl-6-HO-BDE-47 70

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71

6’-Cl-2’-HO-BDE-68 72

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73

4’-HO-BDE-49 74

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75

6-HO-BDE-47 76

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77

2’-HO-BDE-68 78

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79

4’-HO-BDE-17 80

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81

6’-HO-BDE-17 82

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83

2’-HO-BDE-28 84

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85

3’-HO-BDE-7 86

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87

2’-HO-BDE-7 88

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89

2’-HO-BDE-25 90

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91

2’-HO-BDE-66 92

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93

3-HO-BDE-100 94

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95

4-HO-BDE-90 96

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97

2-HO-BDE-123 98

99

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Figure S5 Linear fitting of data points collected in two cycles to demonstrate shifts in sensitivities of 100

mutants pre-exposed for 4 h to IC50 concentration of 6-HO-BDE-47. The upper one represented a 101

short-term exposure experiment, and the lower one represented a long-term exposure experiment. The red 102

line displayed a fitted line, and the pink ellipse enclosed 95% of data points. 103

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