Robust Multiplex Quantitative Polymerase Chain Reaction Assay for

Aug 31, 2018 - Here, we report a simple and highly sensitive TaqMan quantitative polymerase chain reaction (qPCR) assay for universal detection and ...
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Robust Multiplex Quantitative PCR Assay for Universal Detection of Microorganisms in Fuel Osman Radwan, Thusitha S. Gunasekera, and Oscar N. Ruiz Energy Fuels, Just Accepted Manuscript • DOI: 10.1021/acs.energyfuels.8b02292 • Publication Date (Web): 31 Aug 2018 Downloaded from http://pubs.acs.org on September 10, 2018

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Robust Multiplex Quantitative PCR Assay for Universal Detection of Microorganisms in

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Fuel

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Osman Radwan†, Thusitha S. Gunasekera†, Oscar N. Ruiz*‡

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USA

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Wright-Patterson AFB, Ohio, USA

Environmental Microbiology Group, University of Dayton Research Institute, Dayton, Ohio,

Fuels and Energy Branch, Aerospace Systems Directorate, Air Force Research Laboratory,

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*

Corresponding author (e-mail address: [email protected])

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ABSTRACT

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Rapid detection of microbial contamination in conventional and alternative fuels is hampered by

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the lack of sensitive and cost-effective assays to detect total and specific microorganisms in

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fuels. Here, we report a simple and highly sensitive TaqMan qPCR assay for universal detection

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and quantification of fungi, bacteria, and archaea in fuel in a single multiplexed reaction.

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Universal primers and probes targeting conserved regions of the 16S and 18S rRNA genes were

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designed and validated for specific amplification of total fungi, bacteria, and archaea in fuel. The

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assay is able to detect as low as 10 pg of fungal and bacterial DNA. The combination of a simple

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liquid-liquid extraction to recover cells from fuel with a freeze-and-heat method to release DNA

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for direct qPCR amplification eliminates the need for DNA extractions from contaminated

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samples, thus making the assay much faster, inexpensive, and less laborious. The universal

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microbial multiplex qPCR assay demonstrated a high capacity to detect and quantify a wide

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range of microbial contaminants. The assay was validated to accurately detect and quantify the

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intended microorganisms in the presence of high levels of non-target DNA and in fuel from field

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samples. This robust microbial qPCR assay can be applied to microbial detection in

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environmental and industrial settings to facilitate risk assessment and mitigation of microbial

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contamination.

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KEYWORDS: Quantitative Polymerase Chain Reaction, qPCR, TaqMan, Multiplex, DNA,

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Bacteria, Fungi, Archaea, Rapid Detection, Fuel, Biofuel, Risk Assessment

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Energy & Fuels

INTRODUCTION Quantitative polymerase chain reaction (qPCR) or real-time PCR is one of the most

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sensitive, rapid, and specific tools for high-throughput analysis of DNA samples (1, 2). By the

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second half of the 1990s, the first qPCR procedure had been developed (3). The real-time PCR

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method had the ability to monitor the amplicon accumulation in each PCR cycle by measuring

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fluorescence emission (4). One common method of perfoµrming qPCR is by using a fluorescent

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dye that intercalates with double-stranded DNA to allow detection and quantification of an

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amplicon. In order to use a fluorescent dye for quantification, the qPCR assay has to be

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developed on the concept of selective amplification; where the forward and reverse primers

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provide the specificity for the target DNA (5). The dye SYBR® Green (SYBR is a registered

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trademark of Life Technologies, Carlsbad, CA) is a robust fluorescent dye for qPCR applications

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(4). A melting curve analysis is performed with each SYBR Green qPCR run to ensure that a

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single melt peak corresponding to the target amplicon melting temperature is produced. Having

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to run a melt curve analysis increases the compulsory time to perform qPCR analysis. A major

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drawback of SYBR Green-based qPCR is its inability to detect multiple DNA targets in a single

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test reaction; this reduces throughput and increases the use of sample, cost, and the time required

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for results.

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Alternatively, qPCR assays can be developed using the concept of selective detection (6-

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9). In this type of assay, a single-stranded DNA probe containing a covalently linked fluorophore

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molecule provides both target specificity and detection by fluorescence. The specific probe can

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be combined with a set of selective primers to further improve specificity. Accordingly,

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amplicon specific detection is the method of choice for accurate quantification of microbial

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contamination. The TaqMan chemistry is the most widely used fluorescent-probe chemistry

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today (10). A TaqMan probe is a target-specific oligonucleotide with attached 5’ fluorophore and

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3’quencher molecules designed to anneal to the target DNA at a melting temperature (Tm)

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approximately 10 ºC higher than the amplification primers’ Tm. The higher annealing

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temperature of the probe ensures the probe has bound to every molecule of single-stranded target

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DNA before amplification can proceed. Once DNA elongation proceeds, the 5’ to 3’ exonuclease

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activity of the Taq DNA polymerase or similar thermostable polymerases degrades the probe

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releasing the fluorophore and preventing fluorescence resonance energy transfer (FRET)

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between the close proximity 5’ fluorophore and 3’ quencher, producing the fluorescence signal

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(7, 10, 11). Although TaqMan qPCR has been widely used for detection of specific

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microorganisms in medical (12-15) and agricultural applications (11), a universal multiplex

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qPCR assay capable of detecting the bacteria, fungi, and archaea domains in complex

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environmental samples including fuel has not been developed.

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In the field of fuel microbiology, PCR has been used to characterize microbial

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contamination in fuel tanks and assess bacterial community dynamics (16, 17, 18). The use of

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PCR overcame important drawbacks of culture-dependent method including a propensity to

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underestimates the viable population density in fuel, and long wait times for results. Fuel system

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biodeterioration is an important problem affecting both commercial and military systems

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containing conventional and alternative fuels (16-31). Consequences of biodeterioration in the

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fuel system include reduced fuel stability and quality, tank corrosion, coating degradation,

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deactivation of fuel-water separators, injector fouling and filter plugging. More environmentally

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friendly biofuels, such as biodiesel, can show a higher propensity for biocontamination due to the

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increased biodegradability of fatty acid methyl esters (32-34). The use of SYBR Green-based

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qPCR assays for detection of total bacteria and fungi in fuel samples has been demonstrated

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previously (19-21, 35). Recently, a SYBR Green-based qPCR assay for specific detection of

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Hormoconis resinae was published (36). To address the drawbacks of SYBR Green-based qPCR

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assays and facilitate the implementation of qPCR in testing for microbial contamination in fuels

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and other complex matrices, here we describe the development, characterization, and validation

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of a universal TaqMan qPCR assay that when combined with a simple freeze-heat step to recover

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microbial DNA provides a simple method to rapidly detect and quantify total bacteria, fungi, and

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archaea in a single test reaction. Because environmental samples contain a mixture of unknown

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microorganisms, it is critical to employ a qPCR assay that is able to detect and quantify all the

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microorganisms in a sample. Previous research efforts have focused on designing universal

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primers targeting the amplification of the 16S and 18S rRNA genes from bacteria (12, 37-39),

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archaea (40, 41) and fungi (42) in separate test reactions. In the current work, we designed a new

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universal microbial qPCR assay for multiplexed quantification of bacteria, fungi and archaea in

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fuel. The use of a universal multiplexed qPCR assay without the need for DNA purification is

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validated; dramatically reducing the time required to process and test a field sample. The

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multiplex qPCR assay demonstrated here may be used in other environmental and industrial

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settings to detect and quantify microbiological contamination.

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EXPERIMENTAL SECTION

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Microbial Materials and DNA Sequences for Assay Development

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Twenty-three fungal isolates and twenty-three bacterial strains isolated from fuel-

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containing environments and capable of hydrocarbon degradation were used in this study (Supp.,

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Table S1). Additionally, Hormoconis resinae (ATCC 22711), Yarrowia lipolytica (ATCC

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20496) and Pseudomonas aeruginosa (ATCC 33988) obtained from the American Type Culture

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Collection (Manassas, VA, USA) were used. Bacterial and fungal species were grown in Luria-

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Bertani (LB) medium and Potato Dextrose Broth (PDB) medium, respectively, at 28 °C with

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agitation for up to 72 hours. DNA from the microbial cultures was obtained by using the

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UltraClean Microbial DNA isolation kit (Cat No. 12224-250, QIAGEN, MD, USA) and the

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genomic DNA used in PCR. The quantity and purity of the DNA were confirmed by Nanodrop

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using the 260/280 nm function. DNA integrity was confirmed by running the DNA samples in a

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2100 Bioanalyzer chip-based microcapillary electrophoresis system (Agilent Technologies,

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Santa Clara, CA, USA). A 423 base-pair (bp) region of the fungal 18S rRNA (42) and 521 bp

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region of the bacterial16S rRNA (37) was PCR amplified using bacteria-specific and fungi-

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specific sequencing primer sets. PCR products were purified by agarose electrophoresis,

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sequenced (GenScript Inc., Piscataway, NJ, USA), and the DNA sequences analyzed by BLAST

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(Basic Local Alignment Search Tool, National Center for Biotechnology Information, U.S.

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National Library of Medicine, Bethesda. http://blast.ncbi.nlm.nih.gov/Blast.cgi) to identify the

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genus, and when possible, the species of each microorganism.

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Primers and Probes Design

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Thirty-one 18S rRNA fungal sequences were aligned using Clustral-X (43). A 168 bp

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region with high homology between different fungal sequences was selected to design fungal

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primers for the universal qPCR assay. A specific primer set that amplifies a 132 bp amplicon was

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finally selected (Table 1 and Supp., Figure S1). Similarly, 22 archaeal 16S rRNA sequences were

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aligned to verify the specificity of a publicly available universal qPCR primer set for archaea

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(40, 41) that amplifies a 137 bp region (Table 1). A publicly available universal 16S rRNA

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primer set (12) that produces a 147 bp amplicon was used as the basis for the universal qPCR

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assay for bacteria (Table 1). Three different fluorogenic probes for the bacterial, fungal and

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archaeal universal qPCR assays (Table 1) were designed and ordered from Integrated DNA

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Technologies, Inc. (Coralville, IA, USA). The Texas (Red) fluorophore with an emission peak of

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615 was used in combination with the Quencher Iowa Black RQ in the fungal probe while FAM

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(blue) with an emission peak of 517 and Quencher Iowa Black FQ were used for the bacterial

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probe, and for archaea double quenched probe HEX (green) fluorophore with an emission peak

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of 556 and two quenchers one internal ZEN™ quencher (ZEN is a trademark of Integrated DNA

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Technologies, Coralville, IA) and 3’ quencher Iowa Black FQ was used. Polyacrylamide gel

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electrophoresis (PAGE) purified synthetic oligonucleotides spanning the 132, 147 and 137 bp of

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the bacterial, fungal, and archaeal universal qPCR amplicon region, respectively, were

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synthesized (Integrated DNA Technologies Inc., Coralville, IA, USA), serially diluted from

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1x109 to 1x104 gene copies/2µL and used as absolute standards.

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Establishing a TaqMan qPCR Assay To examine the specificity of designed primers, qPCR assays were performed using

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SYBR Green with melting curve analysis. For the SYBR Green qPCR, 2 µL of DNA or

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synthetic oligonucleotide standard was utilized in a 12.5 µl PCR reaction containing 6.25 µl of

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Taq™ universal SYBR® Green Supermix (Cat No. 172-5122, Bio-Rad, CA, USA) and 0.2

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µmol/L of each primer (Supp., Table S2). Quantitative PCR was carried out using a two-step

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amplification procedure with an initial denaturation step at 95 °C for 4 min followed by 40

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cycles of annealing/elongation for 30 s at 58 °C; fluorescence was measured after each cycle.

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After the qPCR amplification run, a melt curve analysis was performed by heating the samples

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from 68 to 95 °C in 0.2 ºC increments.

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The TaqMan qPCR assay was conducted in a final volume of 20 µL using 10 µL of

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iTaqTM Universal Probes Supermix (Cat No. 172-5132, Bio-Rad, CA, USA), 0.2 µmol/L of each

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primer, 0.2 µmol/L of each probe, and 2 µL of either DNA template, synthetic oligonucleotide

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standard or 1:10 dilution of cells and spores recovered from cultures and fuel samples, and heat-

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shock treated using the freeze-and-heat method before qPCR. The simple “freeze-and-heat”

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method comprised freezing samples for 5 min in the -80 °C freezer and then heating the sample

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to 95 °C for 5 min to lyse cells and spores to release DNA. PCR was performed in Bio-Rad CFX

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real-time PCR instrument using the previously explained two-step amplification procedure.

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Three independent biological and technical replicates were included in each qPCR analysis.

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Pearson correlation (r), from R (ggpubr Package), was used to calculate the linear correlation

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between singleplex and multiplex qPCR.

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Synthetic Standards for qPCR The sequences and characteristics of the PAGE purified synthetic oligonucleotide

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standards that used in the current study are presented in Table 1. The oligos were chemically

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synthesized by Integrated DNA Technology using their Ultramer synthesis. Once the synthetic

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oligonucleotide that span the amplicon region of the universal qPCR assays were received, the

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oligo copies were calculated from the nmoles amount. To achieve this, the amount in nmoles

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provided by the vendor is converted to moles and then multiplied by the Avogadro’s constant

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(6.022×1023 molecules−1) to get the number of molecules of the oligo; at this point, the term

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molecules can be substituted by gene copies. The synthetic oligonucleotides are then serially

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diluted using ten-fold dilutions from 1x109 to 1x102 copies/2 µL.

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Characterization of the TaqMan qPCR Assay using Fuel-Derived Microbial Materials The initial validation experiments were carried out using filter sterilized Jet A fuel spiked

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with a known number of microorganisms. A 0.22µm filter was used to sterilize fuel. Similarly,

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contaminated fuel samples collected from different locations across the USA were used for

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validation of the TaqMan qPCR assay. Hormoconis resinae (ATCC 77211) and other fungi were

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grown in Potato Dextrose Agar (PDA) for two weeks. Fungal spores were collected in 10 mL of

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sterilized distilled water and then used as spiking material. The collected fungal spores were

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washed twice with Bushnell Haas (BH) and spore concentration was estimated using a

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hemocytometer (Hausser Scientific, Horsham, PA, USA). For bacterial inoculum preparation,

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Pseudomonas aeruginosa (ATCC 33988) and other bacteria were grown in Luria-Bertani (LB)

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medium overnight at 28 °C, and cells were collected by centrifugation at 11,000 RPM for 10

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min. Bacterial cells were washed twice using BH medium and the concentration of bacteria

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determined by measuring optical density (OD) at 600 nm in the spectrophotometer. The initial

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inoculum level was adjusted to 3x107 cells/mL and 1x106 spores/mL for P. aeruginosa and H.

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resinae, respectively. Twenty mL of BH medium overlaid with 4 mL of Jet A fuel in 50 mL

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polystyrene tubes (note: polystyrene is compatible with middle distillate fuels including diesel

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and jet fuel but incompatible with gasoline and ethanol-blended gasoline) were inoculated either

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with H. resinae or P. aeruginosa, and incubated at 28 °C in a shaker at 200 rpm. Samples were

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collected at 3, 6, 9 and 12 days after inoculation for qPCR and Colony Forming Unit (CFU)

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quantification. A liquid-liquid extraction was performed to recover microorganism from

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hydrophobic fuel phase to hydrophilic aqueous phase. The liquid-liquid extraction protocol

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entailed collecting 500 mL of fuel in a sterile high-density PVDF bottle and adding 10 mL of

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sterile 1X phosphate buffer (1X PBS) followed by vigorous shaking. Samples were allowed to

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stand for 5 minutes for separation of the aqueous phase and fuel phase. Finally, the PBS

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containing microorganisms were aseptically recovered with a serological pipette and transferred

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to a sterile 10 mL conical tube for qPCR as follows. Each contaminated sample was diluted 1:10

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with sterile ultrapure water and subjected to freeze-and-heat protocol to extract DNA from

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samples for direct qPCR amplification. Two µL of each contaminated sample was used as a

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template for qPCR in 20 µL final volume reaction. Serial dilutions of 1:10, 1:100 and 1:1000

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from each contaminated sample were prepared and 100 µL of each dilution was spread on either

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Tryptone Soya Agar (TSA) or PDA plates for enumeration of bacterial and fungal populations,

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respectively. Plates were incubated at 28 °C for 3 days and the number of colonies/mL was

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calculated. Three independent biological and technical replicates were included in each

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experiment. For the field testing, 23 contaminated fuel samples collected from different locations

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across the USA were tested by multiplex qPCR and culture-based methods. Pearson correlation

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(r), from R (ggpubr Package), was used to calculate the linear correlation between different

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factors.

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RESULTS AND DISCUSSION

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Establishing a TaqMan qPCR Assay

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Energy & Fuels

The development of a simple qPCR method for detection and quantitation of the total

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microbial population in fuel is a crucial step toward prevention and mitigation of

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biodeterioration. To advance qPCR as a mainstream method for rapid detection of

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biocontamination in fuel systems, multiple factors need to be addressed including: 1) the qPCR

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test should be able to detect all possible microbial contaminants using the smallest amount of

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sample; 2) the qPCR method should not require purified DNA as test input; 3) the qPCR reaction

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protocol, data analysis, and interpretation should be simple.

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The main objective of this work was to establish a robust multiplex qPCR assay that could be eventually used for on-site detection and quantify total bacteria, fungi, and archaea in fuel

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samples. Toward this goal, we developed a universal microbial qPCR assay for simultaneous

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detection of fungi, bacteria and archaea in a single test reaction. A universal qPCR primer set

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capable of detecting all types of fungi was not publicly available, thus, we started by performing

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sequence alignment of 18S rRNA gene sequences from 31 different fuel-degrading fungal

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species to find a conserved gene region for development of universal fungal qPCR primers and

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probe capable of detecting filamentous fungi and yeasts (Supp., Figure S1). The results showed

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that a 168 bp region of the fungal 18S rRNA was highly conserved. Therefore, we designed a

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forward primer, reverse primer, and a TaqMan probe targeting this region (Table 1). To ensure

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the primers and probe were fully compatible with the target DNA, degenerate nucleotides were

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incorporated at polymorphic positions within the oligonucleotides; the primers and probes were

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named FW-Fungal-Universal, RV-Fungal-Universal, and Probe-Fungal-Universal (Table 1).

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The optimal oligo (i.e. primers and probe) annealing temperature and concentration for increased

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specificity, amplification rate and total fluorescence were experimentally determined by

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performing temperature gradient qPCR with post-amplification melt-curve analysis using SYBR

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Green dye (Suppl., Table S2).

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We used previously validated universal primers for detection of bacteria and archaea (12, 37,

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38, 39, 40, 41). For bacterial detection, we selected the 16S universal primer pair established by

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Maeda et al., (12). This primer set has been successfully used in the detection and quantification

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of fuel-degrading bacteria using SYBR Green-based qPCR analysis (30, 44-46). For universal

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detection of archaea, the primer set demonstrated by Bayer et al., (41) was selected. The

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published bacterial and the archaeal qPCR primers were designed with degenerate nucleotides to

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account for polymorphisms in different species. The bacterial and archaeal amplicon region was

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used as a reference for TaqMan probe development (Table 1). Table 1 presents the sequences of

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the bacterial and archaeal qPCR primers and probes. The specificity of the bacterial qPCR

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primers and probe was confirmed by BLAST analysis for more than one hundred bacterial

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species including the hydrocarbon-degrading bacteria Nocardioides luteus, Gordonia sihwensis,

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Acinetobacter venetianus, Marinobacter hydrocarbonoclasticus, Rhodovulum sp., Pseudomonas

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aeruginosa, P. putida, P. stutzeri, P. frederiksbergensis, Alcanivoras sp., Bacillus licheniformis,

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and Achromobacter sp. Similarly, the specificity of the archaeal qPCR primers and probe was

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confirmed by BLAST analysis for more than 22 sequences from different archaeal species

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including Methanobacterium ferruginis, Methanobacterium petrolearium, Halorubrum

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halodurans, and many uncultured archaeal species.

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Synthetic oligonucleotide standards spanning the 132 bp, 147 bp and 137 bp amplicon region

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covered by the fungal, bacterial and archaeal qPCR assays, respectively, were developed to allow

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Energy & Fuels

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absolute quantification of the sample DNA. This strategy facilitated the generation of precise

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standard curves for each qPCR run that allowed absolute quantification of the copy number of

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16S and 18S rRNA genes in each tested sample. Accordingly, the amplification efficiency of

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each qPCR assay was determined from the standard curves produced from serial dilutions of

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synthetic oligonucleotide standards ranging from 1x104 to 1x109 gene copies/µL (Figure 1). The

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amplification efficiency of the fungal and bacterial universal qPCR assays in singleplex reactions

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was 112.9% and 99.7%, respectively (Figure 1A, B). Similarly, the efficiency of the fungal and

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bacterial qPCR assay was determined from multiplex reactions, which showed efficiency (E) of

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97.9% and 100.8%, respectively (Figure 1C). The linear correlation of standard curves (R2) was

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exceptional with R2 ≥ 0.985 (Figure 1). The fact that multiplexing the assays did not reduce the E

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and the R2 demonstrated the high specificity and efficiency of the development assays.

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Furthermore, the current microbial multiplex qPCR assay demonstrated its suitability to detect

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and quantify all three microbial domains of life (i.e. bacteria, fungi, and archaea) efficiently by

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multiplexing (Figure 2).

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Evaluating the specificity and sensitivity of TaqMan qPCR Assay The specificity and sensitivity of the microbial qPCR assay were confirmed by using

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different concentrations (10 pg to 100 ng) of the target DNA, fungal (Byssochlamys sp. isolate

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BYSS01; 47) or bacterial (P. aeruginosa ATCC 33988; 48), in a high concentration (100 ng) of

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non-target DNA background. For the bacterial qPCR assay, the non-target DNA was from

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Byssochlamys sp. and for the fungal qPCR assay, the non-target DNA was from P. aeruginosa.

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Results showed that the microbial qPCR assay was able to detect as low as 10 pg of either fungal

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(Figure 3A) or bacterial DNA (Figure 3B) in the presence of 100 ng of non-target DNA (Supp.,

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Table S3). Furthermore, the assay showed high specificity with negligible background

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amplification in the negative control containing 100 ng of non-target DNA, which showed after

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cycle 32 (Figure 3). Pearson correlation (r) test indicated a correlation of 1 between template

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DNA concentrations and gene copy number/mL (Supp., Figure S2) demonstrating the high

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sensitivity of the qPCR assay for very low abundance target DNA in the presence of high

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background non-target DNA. This high level of specificity and sensitivity is required for

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accurate detection and quantification of microbiological contamination in complex

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environmental matrices such as fuel.

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To evaluate the ability of the microbial qPCR assay for detection of a wide range of

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environmental target microorganisms, the DNA of twenty-three fungal species and twenty-three

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bacterial species (Supp., Table S1) was used as a qPCR template. Results (Figure 4 and Suppl.

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Table S4) demonstrated the ability of qPCR to detect every fungal (Figure 4A) and bacterial

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(Figure 4B) species tested. Interestingly, the capacity of qPCR to quantify DNA was not altered

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by multiplexing all the fungal and bacterial species together (Figure 4C; Suppl., Table S4).

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Pearson correlation (r) was used to calculate the linear correlation between singleplex and

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multiplex qPCR. The results showed a strong correlation (r=0.99 and P-value