key: cord-012461-v8d91fdo authors: Marnissi, Boutheina; Kamali-Moghaddam, Masood; Ghram, Abdeljelil; Hmila, Issam title: Generation of ssDNA aptamers as diagnostic tool for Newcastle avian virus date: 2020-08-13 journal: PLoS One DOI: 10.1371/journal.pone.0237253 sha: doc_id: 12461 cord_uid: v8d91fdo Aptamers are short single-stranded DNA (ssDNA), RNA or synthetic XNA molecules, which are used as a class of affinity binders recognizing target molecules with a very high affinity and specificity. The aim of this study was to generate and characterize ssDNA aptamers for the detection of Newcastle disease virus (NDV). These aptamers were selected using systematic evolution of ligands by exponential enrichment (SELEX) in combination with quantitative high-throughput DNA sequencing. After three rounds of selections, a highly enriched ssDNA pool was sequenced, and the results were analyzed using FASTAptamer Toolkit. Sequencing reads were sorted by copy numbers and clustered into groups, according to their sequence homology. Top aptameric sequences were used to develop a sandwich enzymatic linked aptamer assay (ELAA) for rapid and sensitive detection of NDV in farm samples. The selected aptamers have an affinity within the nanomolar range, and a high specificity with no cross-reactivity towards other avian viruses. Following optimization of the sandwich ELAA method, the results demonstrated that both selected aptamers Apt_NDV01 and Apt_NDV03 with dissociation constant values of 31 nM and 78.1 nM, respectively, showed the highest specificity and affinity for NDV detection. The ELAA results were verified by quantitative real-time PCR, demonstrating strong concordance, and showing outstanding accuracy for detection of NDV in field sample. In summary, combination of SELEX with high-throughput DNA sequencing allowed rapid screening and selection of aptamers. The selected aptamers allowed recognition of NDV with high affinities. This is the first report that uses a validated sandwich ELAA for rapid and specific detection of NDV in poultry samples. Newcastle disease (ND) is an acute and highly contagious avian disease, which causes heavy economical losses to poultry industry, worldwide [1] . The causative agents are virulent strains of Avian Paramyxovirus type 1 (APMV1). In regard to their pathogenicity for chickens, ND virus (NDV) strains are divided into three pathotypes; velogenic (highly fatal), mesogenic (intermediate virulence) and lentogenic strains (low virulence). Some members of the latter, such as LaSota and V4 subtypes are used as live vaccines [2] . The virus belongs to the genus Avulavirus of the family Paramyxoviridae, in the order of Paramyxovirinae. The viral genome is a non-segmented, negative-sense and single-stranded RNA of approximately 15.2 kilobases (kb), encoding six main proteins; nucleoprotein (N), phosphoprotein (P), matrix protein (M), large polymerase protein (L), hemagglutinin-neuraminidase (HN) glycoproteins, and fusion protein (F) [1, 3] . The glycoproteins HN and the F protein are located on the surface of the viral membrane, and induce neutralization antibody production. They enable the virus to attach to sialic acid-containing receptors on the host cells, and are responsible for the neuraminidase activity [4] . The F protein is responsible for the fusion of the viral envelope with the cellular plasma membrane [5] . These two proteins are also considered as biomarkers for NDV. The NDV infects wild birds and poultry species. It has been reported as a major problem for the poultry sector in Latin America (Mexico, Colombia, Venezuela, and Peru) [6] , in Iran [7] and several other countries, worldwide. However, data on the prevalence of the disease are insufficient in Tunisia, and the virus continues to affect the profitability of poultry production. Biosecurity measures and vaccination programs should be enforced to ensure better control and mitigate virus incidence, avoiding the emergence of more pathogenic strains. To monitor this major viral disease and to avoid health crisis in poultry, the development of sensitive assays for early detection, enabling characterization of circulating viruses is needed and will have great economical and epidemiological significances. Appropriate diagnosis is the key factor for better handling viral diseases. Nevertheless, many avian viral diseases are difficult to distinguish, especially at the disease onset with a set of similar and nonspecific clinical symptoms. To develop efficient tools for the diagnostic of these major viral diseases, the potential of aptamers was explored as an affinity binder for NDV. Aptamers are short single-stranded DNA (ssDNA), RNA, synthetic XNA oligonucleotides or peptide molecules, which can recognize their targets with high affinity and specificity [8] . Their production, using an experimental procedure termed SELEX (Systematic Evolution of Ligands by Exponential Enrichment), is easy and inexpensive [9] . Since their discovery, the aptamers have rapidly emerged as a key factor in several biological processes such as diagnostic, therapy, drug discovery, food science, and drug delivery [10] . Several studies have been conducted on the aptamers' potential use for the diagnostic of different diseases including cancer and infectious diseases [11, 12] . Recently, aptamers against influenza virus have been demonstrated as an potential alternative tool to antibodies with equal or greater affinity to HA antigen [13, 14] . New aptamers against H9N2 influenza subtype have been characterized in our laboratory and have been used to develop a highly sensitive real-time immuno-PCR-based test [15] . Similarly, characterization of aptamers against other viruses including respiratory syncytial virus (RSV), severe acute respiratory syndrome virus (SARS) and measles virus have already been reported [16] . However, to date there is no reports on aptamers developed for avian virus detection. The present study reports on a rapid and an efficient approach for the selection and characterization of ssDNA aptamers against NDV. The generated aptamers were then tested for their affinity and specificity to efficiently detect the viral antigens in farm samples. No vertebrate animals, embryos or tissues have been involved in the present work. For validation of the generated aptamers, the leftover chicken samples received for routine diagnostics, were used. No further ethical approval was obtained as no laboratory animals were used in this study. LaSota vaccine strain of NDV, live H120 vaccine strain of infectious bronchitis virus (IBV), live IBDV vaccine strain of Gumboro virus, attenuated live 1133 strain of avian reovirus and live avian influenza Tunisian isolate A/CK/TUN/145/12 subtype H9N2 were used for the specificity test. The study was performed on a total of 27 poultry samples including tracheal (ET) and cloacal swabs (EC) and internal organs consisting of allantois (A), kidneys (K), lung (L), liver (Li) and trachea (T) collected from chickens with suspected NDV infection. The field samples were collected from eight farms located in the following provinces: Bizerte, Nabeul, Ben Arous, Sidi Bouzid, Beja, Ariana, Sfax and Jendouba, and were sent by veterinarians to the diagnostic laboratory at Institute Pasteur of Tunis for analysis, in the frame of their routine follow-up/monitoring of poultry farms, or in case of reporting a disease suspicion, especially for the diagnostic of NDV and avian influenza, which are under continuous surveillance in Tunisia. Samples information including the region, the veterinary or/and farm or/and company name as well as type of production and age of poultry are summarized in S1 Table in S1 File. The NDV-bound ssDNA aptamers were selected from a ssDNA library, using a slightly modified SELEX protocol reported by Hmila et al. and Arnold et al. [15, 17] . The random DNA library (WAP40m) consisted of 80 nucleotides (nt) containing a 40 nt randomized central region flanked by two adaptor sequence regions each of 20 (Integrated DNA Technologies, Inc., Coralville, IA). The library sequence-5'-AGTGCAAGCAGTATTCGGTC-(N) 40 -TAAA GCTGATGCGTGATGCC-3'-was used as reported by Lamont et al. [18] . Before selection, the ssDNA library was denatured by heating at 95˚C for 5 min then cooled on ice for 10 min to prevent inter-strand base pairing. SELEX was initiated with the immobilization of 100 μL of diluted LaSota vaccine strain in 96-well microtiter plate overnight at 4˚C. The plate was then dry blotted, and 100 μL of the single-stranded aptamer DNA library (10 μM) was mixed with the virus and incubated for 1 h with gentle shaking. The wells were dry blotted, and then 100 μL of phosphate-buffered saline (PBS; pH 7.2; 150 mM NaCl + 5mM MgCl2) was added and incubated for 5 min at room temperature (RT). A NaCl salt gradient was used for the elution of the enriched aptamers; the wells were sequentially washed using five different concentrations of 0.5, 1.0, 1.2, 1.4, and 1.5 M NaCl, allowing gradual releasing of aptamers, starting from those with the weakest to strongest binding affinities. The molecular basis for this phenomenon is mainly related to the NaCl's ability to sever electrostatic interactions, the key interactions between the aptamers and the protein [19] . Then, 2 μL of the isolated DNA oligonucleotides from the 1.5 M elution was amplified by PCR, and was used to recognize the virus pre-immobilized on a membrane nitrocellulose. Products from the aptamer-spots were extracted and a symmetric PCR amplification was performed with an initial heating step for 5 min at 95˚C followed by 25 cycles of 95˚C for 30 s, 55˚C for 30 s, 72˚C for 30 s and a final extension step at 72˚C for 7 min. The reaction mixture contained 5 μL of 10X PCR buffer, 3 μL of SELEX pool, 0.5 μL (10 μM) of each forward WP20F1 (AGT-GCA-AGC-AGT-ATT-CGG-TC) and reverse WP20R1 (TAA-AGC-TGA-TGC-GTG-ATG-CC) primers (Integrated DNA Technologies, Inc., Coralville, IA), 1 μL MgCl 2 (50 mM; ThermoFisher Scientific), 1 μL dNTP (10 mM; ThermoFisher Scientific), 0.5 μL Taq polymerase (ThermoFisher Scientific), and the volume was adjusted to 50 μL with deionised water. An asymmetric PCR was performed using 2 μL symmetric PCR products, and an optimal ratio of forward and reverse primers of 25:1, respectively. The thermocycles were initiated with a heating step for 5 min at 95˚C followed by 9 cycles of 95˚C for 30 s, 63˚C for 15 s, 72˚C for 15 s, and a subsequent 10 cycles of 95˚C for 30 s, 55˚C for 15 s, 72˚C for 15 s, and a final step of 72˚C for 3 min. The reaction mixture was composed of 5 μL of 10X PCR buffer, 2 μL of symmetric PCR product, 1.2 μL of WP20R (1 μM), 3 μL of WP20F (10 μM), 1 μL of MgCl 2 (50 mM), 1 μL of dNTPs (10 mM), 0.5 μL Taq polymerase in a total volume of 50 μL, adjusted with deionised water. The PCR product of the SELEX amplified products using WP20F1 primer was purified with the MinElute1 PCR Purification Kit (Qiagen). The sequencing library was conducted using the AB Library Builder™ System (ThermoFisher Scientific) and amplified according to the Ion Xpress™ Plus and Ion Plus Library Preparation for the AB Library Builder™ System protocol. It was then purified using the Agencourt1 AMPure1 XP reagent (Beckman Coulter). The library size and its concentration were assessed by a Bioanalyzer High Sensitivity Chip (Agilent Technologies). The samples were pooled, followed by a template preparation on the Ion Chef™ System, using the Ion PI Hi-Q Chef Kit (ThermoFisher Scientific). The samples were then loaded on an Ion PI™ v3Chips and sequenced on the Ion Proton™ System, using the Ion PI™ Hi-Q Sequencing 200Kit chemistry (ThermoFisher Scientific). The dataset analysis allowed identification and removing of the specific 5 0 -and 3 0 -primer binding regions in each sequence, using a command line. Subsequently, the sequences were filtered by discarding those longer than 50 nt and keeping the intern randomized regions of the original aptamer sequences. The majority of these sequences had an expected length of 40 ± 3 nt after pre-processing and filtration of the aptamer dataset. FASTAptamer Toolkit was used following the same steps previously described [19] . First, the FASTAptamer-count package was used to rank and sort the sequences by their abundance by counting the number of times each sequence is sampled from a population, according to their copy numbers. Second, the FASTAptamer-cluster was used to align and classify the reads by sequence similarity. Finally, sorted sequences were evaluated for their affinity and specificity. Selected ssDNA molecules were subjected to secondary structure prediction, using mfold software (http://mfold.rna.albany.edu/?q=mfold/DNA-Folding-Form). The ELAA was employed to test the binding affinity of the selected aptamers to NDV, using the following procedure. LaSota vaccine virus was diluted in PBS and 100 μL were used to coat the wells of a 96-well microtiter plate at 4˚C overnight. The wells were then rinsed three times with PBS-T (10 mM PBS, pH 7.2; 0.05% Tween-20) and blocked with 200 μL/well of 5% skim milk at RT, for 1 h. Next, a volume of 100 μL/well of a 2-fold dilution serial of 5'-biotin-labeled DNA aptamers from 10,000 to 0.15 nM was added to NDV coated wells and incubated at RT for 1 h. A naïve library at 10 nM in 100 μL was used as a non-specific binding control. The wells were then washed three times with PBS-T to remove unbound aptamers. Streptavidinhorseradish peroxidase conjugate (1:5000) was added, and incubated at RT for 30 min. After five washes with PBS-T, OPD (O-Phenylene Diamine dihydrochloride) was added for visualization. Finally, the reactions were stopped by adding 50 μL/well of H 2 SO 4 (2N), and the optical densities (OD) were recorded at 492 nm, using a microplate reader. To determine the equilibrium dissociation constants (K d ) for the candidate aptamers, the OD value mean of a naïve library was subtracted from the OD value mean of each aptamer reading. To evaluate their specificity for NDV, the binding of the five selected aptamers Apt_NDV01 to Apt_NDV05 were tested against the LaSota live vaccine strain of NDV, the H120 live vaccine strain of IBV, the isolate A/CK/TUN/145/12 (H9N2) isolate of IA, IBDV vaccine strain of Gomboro disease, attenuated 1133 strain of reovirus and a naïve library as negative control as described above. All the experiments were performed in triplicate. A sandwich ELAA was carried out in Streptavidin Coated Plates (ThermoFisher Scientific), using one of the biotin-labeled Apt_NDV02, Apt_NDV03, Apt_NDV04 or Apt_NDV05 as a capture, and digoxigenin-labeled Apt_NDV01 as a reporter molecule. Each 96-well microtiter plate was coated with 100 μL of 10 nM biotin-aptamers and incubated at RT for 1 h, washed three times with 200 μL of washing buffer PBS-T (10 mM PBS, pH 7.2; 0.05% Tween-20). Next, LaSota vaccine virus was added in 100 μL PBS (pH 7.2) and incubated for 1 h at RT. Wells were then washed five times with PBS-T and 1 μM of the reporter digoxigenin-modified Apt_NDV01 diluted in 100 μL PBS was added, and the incubation was continued for an additional 1 h. Anti-digoxigenin antibody (1:2000) was added to the corresponding wells to react for 30 min, followed by three washes. Finally, OPD was added before stopping the reaction by adding H 2 SO 4 (2N). The absorbance was measured at 492 nm and the results of each combination were calculated as the mean ± SD from three experiments. A total of 27 samples from poultry suspected to be infected with NDV, including tracheal (ET) and cloacal swabs (EC) and internal organs consisting of allantois (A), kidneys (K), lung (L), liver (Li) and trachea (T) were analyzed. The samples were assessed for NDV using the sandwich ELAA, in streptavidin coated microtiter plates. First, 100 μL of 10 nM Biotin-Apt_ NDV03 were incubated at RT. After 1 h incubation, the wells were washed three times with 200 μL of PBS-T, and 1 μL of each farm sample diluted in 100 μL PBS was added into each well, and incubated for 1 h at RT. After three washes with PBS-T, 100 μL of 10 nM digoxigenin-labeled Apt_NDV01 was added, incubated for 1 h at RT and the plate was washed five times. The anti-digoxigenin antibody (1:2000) was then added to each well and incubated for 30 min. After three washes, a solution of OPD was added before the reaction was stopped by H 2 SO 4 (2N), and the absorbance were recorded at 492 nm. One step qRT-PCR was conducted in a total volume of 12 μL, using AgPath-ID™ One-Step RT-PCR Kit (Applied Biosystems TM) by mixing 7.5 μL 2X RT-PCR Buffer, 0.6 μL of 25X RT-PCR Enzyme Mix, 2 μL RNA template, 0.3 μM of each forward (Fr-5 0 -TYGAGGGACTT GAAYGTTGAC-3') and reverse primer (Rv-5 0 -CCTGAGGAGAGGCATTTGCTA-3') specific to polymerase (M) gene [20] and 0.2 μM TaqMan™ probe (P: 5 0 FAM-TTCTCTAGCAGTGG GACAGCCTGC-TAMRA-3'). The reactions were conducted by heating the mixture at 45˚C for 10 min followed by 95˚C for 10 min and 45 cycles of 95˚C for 15 s and 60˚C for 45 s. A negative control lacking the RNA template was included in each PCR run. LaSota vaccine strain titrating 10 6 EID 50 /ml, was used to determine the limit of detection (LOD) of qRT-PCR. A 100 μL volume of the vaccine was treated to extract the viral RNA, which was used to prepare a two-fold serial dilution, and then the qRT-PCR was performed as described above. The data was calculated to determine the LOD of the assay. Also, to determine the LOD of the sandwich ELAA, an aliquot of 10 6 EID 50 /mL of LaSota vaccine strain was used to prepare two-fold serial dilutions from which 100 μL was added to each well of a microtiter plate pre-coated with 100 μL of 10 nM biotinylated Apt_NDV03. The plate was incubated at RT for 1 h, the wells were washed three times with 200 μL of washing buffer PBS-T, and then, 1 μM digoxigenin-Apt_NDV01, diluted in 100 μL PBS, was added to each well. After 1 h incubation at RT, anti-digoxigenin antibody (1:2000) was added and the incubation continued for an additional 30 min. The wells were then washed once with PBS-T, the OPD was added and the optical densities were recorded at 492 nm. Statistical significance of the sandwich ELAA and qRT-PCR results was determined by oneway ANOVA test, using Simple Inter-active Statistical Analysis (SISA) online tool (http:// www.quantitativeskills.com/sisa/index.htm), and defined as significantly different if < 0.01. For more relevant statistical significance analysis, a 95% confidence interval (CI) of the mean, a range with an upper and lower number calculated from a sample was determined by oneway ANOVA test. The mean and the standard deviation (SD) and the coefficient of variation percentage (CV %) of optical densities (OD 492 nm) for sandwich ELAA and the threshold cycle (Ct) of qRT-PCR were further analyzed, using Excel software. To measure the relative variability between triplicates of one sample, CV% was calculated as CV% = (STDEV of the sample triplicates /Mean of the sample triplicates) � 100 and defined as significantly different if CV% < 20%. StatPlus Pro version 5.9.8 was used to calculate the LOD, the LLOQ, the ULOQ, the MDD and the sensitivities of both methods. The LOD is the lowest analyte concentration that can be accurately differentiated from the background and at which its detection is feasible. A conventional and standard LOD estimation method consists on the measurement of replicates of background or blank sample, the determination of the mean values and SD and the calculation of the LOD as the mean + 2 SD [21] . The LOD was calculated as LOD = background signal + (3 x SD mean ), where the background signal corresponds to the mean value of three negative control samples; the SD mean being the standard deviation of those values. Additionally, the lower limit of quantification (LLOQ) is the lowest concentration at which the analyte can be accurately identified and at which certain predefined bias and imprecision targets are achieved. Furthermore, the LLOQ value may be comparable to the LOD or at a higher concentration. LLOQ were determined as LLOQ = LOD + (10 x SD background ). The upper limits of quantification (ULOQ) was determined as ULOQ = f (x-(3 x SD x ), whereas the minimal detectable dose (MDD) was determined as MDD = 2 x SD background mean . DNA-aptamers against NDV were generated using the SELEX protocol described by Hmila et al. [15] . Briefly, the LaSota virus vaccine was incubated with a randomized DNA pool and washed. The output of the SELEX was amplified by symmetric (S1 Fig in S1 File) and asymmetric PCR, and the final PCR products were incubated with the virus immobilized on a nitrocellulose membrane, using an immune-blot test to monitor the enrichment of target-binding aptamers. The products from the aptamer-immobilized spots were subsequently used for the next rounds of selection. After three rounds of SELEX, an increased fluorescence signal was observed ( S2 Fig in S1 File) . Then the DNA pool was sequenced using high-throughput sequencing. The DNA sequence pools (S2 Table in S1 File) were analyzed using FASTAptamer software. The pre-processed sequences were filtered and then analyzed by FASTAptamer-count to sort the reads based on their abundance, which is normalized for reads per million (RPM) and ranked according to the decreasing abundance (S3 Table in S1 File). The results showed that the most abundant sequence was sampled 7,620 times, corresponding to 1,362.29 RPM. FAS-TAptamer-count output was used as FASTAptamer-cluster input. Using the command"FAS-TAptamer_cluster," closely-related sequences were grouped into clusters (S4 Table in S1 File). As shown in Table 1 , each generated random sequence was sorted by its rank, reads, RPM, cluster number, rank within that cluster and Levenshtein edit distance that reflects the number of insertions, substitutions, or deletions between sequences. From the analyzed pool, the first five sequences with high RPM were selected for further characterization. To evaluate the binding affinity of selected aptamers to NDV, the virus was incubated with increasing concentrations of biotin-labelled aptamers, and subsequently analyzed by ELAA, based on a nonlinear regression equation. The results showed that the five selected random sequences of aptamers have affinities at the lowest nanomolar range, and the aptamers Apt_NDV01 and Apt_NDV04 demonstrated the highest affinities (Fig 1 and Table 2 ). The specificity of the five selected aptamers, Apt_NDV01-05, against NDV was evaluated by testing their affinities against various avian viruses besides NDV-LaSota vaccine strain, including H120-IBV, IBDV-Gomboro, 1133 reovirus, avian influenza-H9N2, and a naïve library which was used as a negative control. All five aptamers showed high specificity for NDV, while no affinity for the other virus strains was observed (p-values < 0.01; Fig 2) . The performance of the Apt_NDV01, in combination with the other four selected aptamers, was tested using the ELAA. The results demonstrated that the Apt_NDV01 in combination with Apt_NDV03 was the most effective, closely followed by the Apt_NDV01/Apt_NDV02 combination as compared to Apt_NDV01/Apt_NDV05, which shows lower interaction with the antigen; no detectable interaction with the negative control was observed (Fig 3) . A combination of Dig-Apt_NDV01 and Biotin-Apt_NDV03 was selected for their higher specificity and capture affinity for the detection of NDV in farm samples (S3 Fig in S1 File) . To compare the sensitivity as well as the performance of both sandwich ELAA and qRT-PCR methods, the optical densities (OD at 492 nm) for sandwich ELAA and the threshold cycle (Ct) of qRT-PCR were used to determine the LOD, the LLOQ, the ULOQ, the MDD and the sensitivities of the both methods ( S5 Fig in S1 File) . As expected, the dynamic range for qRT-PCR was greater than that for sandwich ELAA, which also demonstrates better LOD, LLOQ, ULOD and MDD. The analytical characteristics of both assays are summarized in (Table 3) . To evaluate the ability of the selected aptamers to detect NDV in farm samples, 27 samples collected from suspected chickens were analyzed by the developed sandwich ELAA, using the Apt_NDV03 as a capture and the Apt_NDV01 as a reporter affinity binder. The results were compared to those obtained by qRT-PCR as the golden standard method. Out of the 27 analyzed farm samples, 15 were revealed positive by the ELAA-based method, which were confirmed by the standard qRT-PCR method, indicating the good accuracy of the sandwich ELAA test (Table 4 ). In recent years, aptamers have been investigated as an alternative means for their bio-affinity and target recognition, which has become one of the promising nano-molecules with great interest for medical needs. The use of aptamers is widely extended, as therapeutic molecules, for the development of biosensor or specific delivery means of active molecules [22] . The aptamers are functional short chains of nucleic acids of 20 to 90 bases. Their folding into a variety of 3D structures offers a large area of antigen recognition, allowing them to be powerful agents for targeting and binding to any type of molecules, ions, or whole cells. Their specific recognition of targets and their high affinity in the range of nano-or sub-nanomolar range [23] make them very powerful tools for bio-recognition. They are often compared to antibodies with desirable and higher properties. They are chemically derivable and controllable, with low Highly specific aptamers against NDV. The specificity of five aptamers with the highest affinity for NDV were tested using ELAA to detect either vaccine strain of NDV-LaSota, H120-IBV, IBDV-Gomboro, 1133 reovirus and avian influenza-H9N2. A naïve library was used as a negative control. The test was performed in triplicate. P-values for Apt_NDV01-05 were < 0.01, calculated using one-way ANOVA test. https://doi.org/10.1371/journal.pone.0237253.g002 immunogenicity and quite high physical stability [24, 25] . Their production is quite inexpensive and reproducible. Another major advantage of aptamers is that they can be generated and selected in vitro by SELEX from a DNA library of approximately 10 15 randomized sequences. SELEX is a robust combinatorial chemical screening in vitro method and selection process Table 4 . Cross-tabulation between Sandwich ELAA and qRT-PCR. Results of the diagnosis of NDV in tracheal (ET) and cloacal swabs (EC) and internal organs, consisting of allantois (A), kidneys (K), lung (L), liver (Li) and trachea (T) collected from chickens with suspected NDV infection. Results of sandwich ELAA and qRT-PCR are reported as positive or negative for each sample. may extend between two to four weeks, which is significantly short in comparison with generation of specific antibodies (months). Here, we describe the first study that identifies and characterizes DNA aptamers specific to NDV, a major pathogen for poultry industry. DNA aptamers were chosen rather than RNA ones because of their stability and easier usage in the field. Different SELEX protocols for the generation of DNA aptamers against various targets have previously been reported. One of the described protocols, based on high salt concentration for elution of the binders, and limited number of amplifications of the aptamers that bind to the target on the dot blot was used in this study. This protocol that was first reported by Arnold et al. [17] and later was successfully used in our previous work with some modification [15] , allowed generation of aptamers using very few selection rounds in comparison to other protocols, which often require up to 10 rounds of selection [26, 27] . Here, the SELEX was performed using three rounds of selection. The first step was the elution of high affinity aptamers using high concentration of NaCl. The sequential increased concentration of NaCl allows gradual release of the aptamer species starting from those with the weakest to the strongest affinity by disturbing the electrostatic interactions. The SELEX was followed by an immuno-blot test, where the eluted DNA oligonucleotides from the 1.5 M of NaCl was amplified by PCR and used to recognize the virus immobilized on a nitrocellulose membrane. The specific aptamers were extracted from the aptamer-spots and then amplified. This step of amplification, isolation on blot and extraction of specific aptamers was repeated three times to enrich the highly specific aptamers with no requirement for counter SELEX. During the SELEX procedure, the eluted DNA were amplified using asymmetric PCR. This represented one of the most essential steps in the selection process. If it is not controlled correctly, the amplification of the selected aptamers might give rise to a complete loss of the desired sequences [28] , and a failure of the selection process [29] . Different protocols for the optimization of the PCR process have been used [30, 31] . In our approach, the enriched DNA library from the third round of SELEX was sequenced using high-throughput sequencing, and analyzed by FASTAptamer tool. High throughput sequencing was used instead of conventional cloning and sequencing, since high throughput sequencing is a powerful approach allowing identification of higher affinity and specificity of ssDNA aptamers that might otherwise not be discovered through the conventional method [32] . After sequencing, the data were first processed using Ion Proton Suite Software, which performs base calling and quality filtering. After the control quality test, data were secondly processed using simple command line to scan sequences for forward and reverse primers and the insert length. In fact, proper reads with 80 nt, including 20 nt of 5'primer + 40 nt random sequence + 20 nt 3' primer, were sorted. Concatemeric sequences containing only primer sequence were filtered out leaving 40 nt for downstream analysis, using different packages of FASTAptamer toolkit. This software is open source licensing and designed for non-bio-informatics analyst. FASTAptamer includes a collection of scripts that perfectly perform basic analysis steps for all combinatorial selections, regardless of the technology used for the selection process. Thus, we identified five aptamers, which were analyzed and evaluated for their potential use in the sandwich ELAA as a diagnostic assay. Affinity and specificity tests were performed using dc-ELAA, a variant of enzymelinked immuno-sorbent assay (ELISA), which has been used to study protein-protein interactions [33] . Dc-ELAA results demonstrated that the five selected aptamers bound selectively to NDV with apparent K d values of 24.33 nM to 85.12 nM. ELAA technique has previously been used to detect various targets such as thrombin, M. tuberculosis and cocaine detection [34] [35] [36] , but to our knowledge, this technique has not been used to detect avian viruses, in particular NDV. The ELAA approach may be conducted under different configurations such as direct, indirect and sandwich detection test. Compared to direct and indirect ELAA, the sandwich ELAA seems to be more accurate and stable, depending on the capture aptamers' efficiency for target recognition, but not on the immobilization, the purity or the concentration of the target [37] . The performance of ELAA has previously been shown to be comparable to that of ELISA technique, and it has been reported as a powerful tool for the diagnostic of viral diseases such as Zika, bovine Parainfluenza and influenza subtype A [38] [39] [40] . In our work, the sandwich ELAA test was developed to allow detection of NDV in complex matrices without the need for any purification steps nor sample preparation. Such approach has also been used in other studies to successfully detect, for instance, thrombin, M. tuberculosis and cocaine with greater performances as compared to assays utilizing antibodies [41, 42] . The sandwich ELAA was initially evaluated using LaSota vaccine strain and total NDV antigen from farm samples. Optimal conditions, including time and temperature of incubation, as well as buffer composition and aptamer concentration were established, allowing the best detection efficiency. Additionally, we found that the use of a combination of Apt_NDV01 and Apt_NDV03 in a sandwich ELAA resulted in the best performing assay to detect and measure different levels of NDV with significant signals over a very low background. Furthermore, the ELAA based on Apt_NDV01 and Apt_NDV03 aptamers showed high specificity for NDV, and we did not observed any false positive signals when the assay was tested on other live avian viruses such as H120-IBV, IBDV, 1133 reovirus vaccine strains as well as avian influenza isolate -H9N2. However, further validation on larger sample cohorts and other viral agents may be needed. The obtained results using the sandwich ELAA, when a total of 27 field samples were analyzed, perfectly correlated with the results from current golden standard qRT-PCR method. The advantages of the sandwich ELAA are the rapid and reproducible production of synthetic aptamers as probes instead of antibodies, and the lack of requirement for sample preparation and viral genome extraction. In summary, we report the great performance of the combination of SELEX and high throughput sequencing for rapid screening and characterization of aptamers. DNA aptamers targeting NDV were successfully selected after three rounds of evolved enrichment, using LaSota vaccine as a target along with a SELEX process. FASTAptamer toolkit was used to analyse the results obtained with the five selected aptamers. Binding analysis revealed that selected aptamers recognize NDV with high specificity and with nano-molar affinities. The present study is the first report that uses validated novel aptamer-based sandwich detection method to detect NDV in field samples. Supporting information S1 File. 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Biosens Bioelectron Screening and Identification of ssDNA Aptamers against HN Protein for Detection of Bovine Parainfluenza Virus Type 3 Antibodies in Serum An Aptamer-Based Electrochemical Sensor That Can Distinguish Influenza Virus Subtype H1 from H5 Selection of DNA aptamers that bind to influenza A viruses with high affinity and broad subtype specificity Displacement enzyme linked aptamer assay An enzyme-linked oligonucleotide assay Our thanks are addressed to the Institute Pasteur of Tunis, the Ministry of Health and the Ministry of Higher Education and Research of Tunisia for their invaluable support towards the study. We are also grateful to the Swedish SciLifeLab Genome Center, Uppsala, for their valuable assistance with sequencing.