Abstract
Background
Massively parallel reporter assays (MPRAs) enable high-throughput functional evaluation of various DNA regulatory elements and their mutant variants. The assays are based on construction of highly diverse plasmid libraries containing two variable fragments, a region of interest (a sequence under study; ROI) and a barcode (BC) used to uniquely tag each ROI, which are separated by a constant spacer sequence. The sequences of BC–ROI combinations present in the libraries may be either known a priori or not. In the latter case, it is necessary to identify these combinations before performing functional experiments. Typically, this is done by PCR amplification of the BC–ROI regions with flanking primers, followed by next-generation sequencing (NGS) of the products. However, chimeric DNA molecules formed on templates with identical spacer fragment during the amplification process may substantially hamper the identification of genuine BC–ROI combinations, and as a result lower the performance of the assays.
Results
To identify settings that minimize formation of chimeric products we tested a number of PCR amplification parameters, such as conventional and emulsion types of PCR, one- or two-round amplification strategies, amount of DNA template, number of PCR cycles, and the duration of the extension step. Using specific MPRA libraries as templates, we found that the two-round amplification of the BC–ROI regions with a very low initial template amount, an elongated extension step, and a specific number of PCR cycles result in as low as 0.30 and 0.32% of chimeric products for emulsion and conventional PCR approaches, respectively.
Conclusions
We have identified PCR parameters that ensure synthesis of specific (non-chimeric) products from highly diverse MPRA plasmid libraries. In addition, we found that there is a negligible difference in performance of emulsion and conventional PCR approaches performed with the identified settings.
Electronic supplementary material
The online version of this article (10.1186/s12864-019-5847-2) contains supplementary material, which is available to authorized users.
Keywords: Massively parallel reporter assay (MPRA), Emulsion PCR (ePCR), Conventional PCR, Chimeric DNA molecules, Next-generation sequencing, Barcode
Background
Massively parallel reporter assays (MPRAs) allow high-throughput functional analysis of different DNA regulatory elements (e.g. enhancers and promoters) or their mutant variants [1–3]. Briefly, a set of DNA sequences to assay are cloned in a plasmid vector outside of a reporter gene coding sequence, and the resulting MPRA library, which typically contains a high number of plasmid variants, is used to transfect the cells of interest. To trace each individual DNA sequence under study, each molecule in the library is uniquely marked by a short (from a few to up to several dozen bp in length) barcode (BC), which is present within an untranslated region of the reporter gene [4–12]. Thus, the influence of each DNA sequence on the reporter expression can be measured by counting of the associated BC in the reporter RNA-seq data.
Importantly, the sequences of BCs and/or the associated DNA regions of interest (hereafter ROIs) in MPRA plasmid libraries are frequently not known a priori, as random oligonucleotides are used to clone these elements [5, 10, 13]. To identify all unique BC–ROI combinations, PCR amplification followed by the next-generation sequencing (NGS) is typically used. However, it has been previously shown that routine conventional PCR co-amplification of DNA sequences containing two variable motifs (in the case of MPRAs, BC and ROI) separated by a constant region frequently leads to formation of undesired chimeric molecules, from 5.4 to 30% [14–22]. Such PCR products complicate and can mislead the MPRA data analysis as well as decrease the productivity of the approach, as the association of the same BC with different ROIs leads to the elimination of all such BCs and ROIs from the analysis. Chimeric DNA molecules seem to result from the annealing of incompletely extended primers to a heterologous target sequence during PCR [23]. Incompletely elongated DNA strands are presumably the consequence of the pausing of DNA polymerase on the template, or of its premature termination. As a result, mixed-template amplification leads to the formation of chimeric PCR products, which are composed of two artificially combined sequences [24] (Fig. 1a). The frequency of chimeric molecule formation appears to be a function of the length and sequence similarity of the co-amplified DNA molecules [17]. Additionally, it is known that the amount of the DNA template, the number of amplification cycles, the size of plasmid library, and duration of the extension step play crucial roles in the formation of chimeric PCR products [25, 26]. However, the presence of different DNA template molecules within the same PCR reaction mixture is thought to be the main reason for chimeric molecule formation [14, 27]. Thus, the emulsion PCR (ePCR) method, which provides a simple physical separation of the template DNA molecules due to the usage of water-in-oil emulsion [28], seems to be a solution of the problem.
Here, we first describe an optimized two-round protocol for ePCR amplification of the BC–ROI region of MPRA constructs, which minimizes formation of chimeric products. To develop the protocol, an equimolar mixture of two plasmids containing unique 18-bp BC and 8-bp ROI sequences separated by constant 71-bp region was used as a template. By adjusting ePCR settings (amount of template, number of amplification cycles and duration of the extension step), we were able to reduce the frequency of the chimeric PCR products arisen between the assayed BC–ROI regions to only 0.22%. Next, we applied the same conditions of ePCR for amplification of two high-diversity BC–ROI plasmid libraries (each containing > 30,000 of unique clones). NGS of these samples demonstrated that on average they contain 0.30% of spurious BC–ROI combinations. Finally, we surprisingly found that performing conventional PCR in the same optimized conditions results in an almost identical proportion of chimeric products (on average 0.32%) from the plasmid libraries. Thus, we conclude that the optimized conventional PCR is the simplest and most cost-effective approach to amplify a priori unknown combinations of BCs and ROIs present in MPRA plasmid libraries for their subsequent identification by NGS.
Results
Chimeric molecule formation during conventional PCR using two-plasmid template
To assess the frequency of chimeric product formation during PCR, we first designed a simple system consisting of two very similar plasmid constructs, each containing unique 18-bp BC and 8-bp ROI sequences separated by a constant 71-bp region (hereafter plasmid#1 and plasmid#2). The plasmids were mixed at an equal molar ratio and used as templates in a one-round conventional PCR to amplify 236-bp BC–ROI fragments (Fig. 1b). To detect the presence of chimeric BC–ROI combinations in these PCR products, we designed the BC1, BC2, ROI1 and ROI2 primers, specific for the BCs and ROIs of plasmid#1 and plasmid#2 (Fig. 1c) and used BC1/ROI2 and BC2/ROI1 pairs in a test PCR. To exclude the formation of chimeric products during this test PCR, we adjusted the parameters of the analysis using a mixture of plasmid#1 and plasmid#2 templates. Namely, 12 amplification cycles at the annealing temperature of 60 °C, but not 14 amplification cycles at 55 °C, resulted in the absence of false positives (Additional file 1: Figure S1). Therefore, the former conditions were used for all subsequent test PCR runs. The analysis of the products of the one-round conventional PCR demonstrated that they include detectable amounts of chimeric BC–ROI molecules (Fig. 1d).
Optimized two-round ePCR suppresses formation of the chimeric molecules from two-plasmid template
We next amplified the BC–ROI fragments using ePCR. We utilized the Micellula DNA Emulsion & Purification Kit and mostly followed the manufacturer’s recommendations about the ePCR parameters (micelle count, amount of DNA template, PCR buffer composition in reaction tubes, PCR product purification, etc.). Specifically, we prepared 50-μl reaction mixtures containing 109–1010 micelles and 2 × 108 or 2 × 109 plasmid molecules (1 ng or 10 ng of 4349-bp long plasmid#1 and plasmid#2 mixed at a molar ratio of 1:1). After 25 cycles of one-round ePCR, the emulsions were broken with 2-butanol and the products were purified. Agarose gel electrophoresis confirmed the presence of the expected 236-bp DNA fragments in the “1 ng” and “10 ng” ePCR samples (Fig. 2a). However, a test PCR on the purified ePCR products, even obtained starting with 1 ng of the plasmid#1/plasmid#2 template, detected chimeric BC–ROI molecules (Fig. 2b).
It is known that even traces of detergent may cause emulsion instability, i.e. cause a merge of individual micelles. Since for ePCR we used the Phusion DNA polymerase together with Phusion HF Buffer that is not detergent-free, we checked whether the stability of the emulsion was compromised. We mixed up two emulsions for ePCR: an emulsion containing the primers without the DNA template, and a second emulsion with only the template and no primers (Fig. 2c). If mixed emulsions are unstable, then the micelles would merge leading to the synthesis of PCR products. However, we did not observe any products from ePCR performed on this emulsion mixture (Fig. 2d), suggesting that other factors are responsible for generation of chimeric BC–ROI molecules, likely too many template DNA molecules or too many amplification cycles.
To reduce formation of chimeric BC–ROI molecules in ePCR, we decreased the initial amount of template DNA and performed the amplification with two subsequent rounds (Fig. 1b) of 15 and 20 cycles, as single reactions with a higher number of cycles may exhaust resources of individual micelles. Fifty μl reactions of round #1 ePCR contained approximately 109–1010 micelles and 2 × 106, 2 × 107 or 2 × 108 plasmid molecules (10 pg, 100 pg or 1 ng of 4349-bp long plasmid#1 and plasmid#2 mixed at a molar ratio of 1:1). After 15 cycles of round #1 ePCR, the emulsions were broken, and the products were purified and analyzed by agarose gel electrophoresis. No bands were observed in the gel (Fig. 3a), most likely due to low amounts of the DNA template coupled with the low number of amplification cycles. Next, we set up 50-μl reactions of round #2 ePCR containing approximately 109–1010micelles and 1/100th (0.5 μl) of the purified ePCR products of round #1. After 20 cycles of round #2 ePCR, we broke the emulsions and purified the products from “10 pg”, “100 pg” and “1 ng” template mixtures. Agarose gel electrophoresis revealed a clear direct relationship between the amounts of the 289-bp DNA fragments and the number of template DNA molecules used for round #1 ePCR (Fig. 3a). Notably, a test PCR performed on the purified “10 pg”, but not on “100 pg”, of round #2 ePCR products did not detect chimeric BC–ROI molecules (Fig. 3b). Thus, we conclude that the initial amount of the DNA templates should be ~ 103–104-fold lower than the estimated total count of micelles in the emulsion, so as to minimize the chance of inclusion of two or more template molecules in the same micelle and prevent the formation of chimeric products.
To accurately measure the proportion of chimeric BC–ROI molecules present in “10 pg” round #2 ePCR products we subjected them to Illumina NGS analysis, which revealed on average 1.51% of chimeric products (Table 1). Next, we tried to further reduce the proportion of chimeric products by an additional optimization of the ePCR conditions. First, the amount of the DNA template used in round #2 ePCR was reduced from 0.5 μl to 0.3 μl. Second, the number of amplification cycles in round #2 ePCR was decreased from 20 to 18. NGS analysis of the amplification products showed that both conditions substantially reduce the proportion of chimeric BC–ROI molecules (Table 1). Specifically, round #2 ePCR samples obtained with reduced DNA template and diminished amplification cycles contained on average 0.66 and 0.22% of spurious products, respectively. Taken together, our findings indicate that synthesis of chimeric DNA molecules during amplification of BC–ROI fragments from a mixture of two different templates can be suppressed to almost negligible levels using two-round ePCR with optimized parameters.
Table 1.
Round #2 ePCR conditions | Total read count | Reads with chimeric BC–ROI combinations, % | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
R#1 | R#2 | BC1–ROI2 | BC2–ROI1 | Average | ||||||
BC1 | BC2 | BC1 | BC2 | R#1 | R#2 | R#1 | R#2 | R#1 | R#2 | |
0.5 μl of round #1 ePCR products, 20 cycles | 134,011 | 134,779 | 47,072 | 46,333 | 1.579 | 1.651 | 1.465 | 1.347 | 1.522 | 1.499 |
0.3 μl of round #1 ePCR products, 20 cycles | 43,782 | 44,788 | 10,327 | 10,452 | 0.831 | 0.629 | 0.737 | 0.440 | 0.784 | 0.535 |
0.5 μl of round #1 ePCR products, 18 cycles | 21,042 | 21,733 | 166,862 | 170,934 | 0.200 | 0.225 | 0.230 | 0.211 | 0.215 | 0.218 |
The settings of the round #1 ePCR were the same for all samples: 15 amplification cycles starting with ~ 2 × 106 template DNA molecules
R#1 and R#2 stand for replicate 1 and replicate 2, respectively
Application of the two-round PCR approach for amplification of BC–ROI fragments of MPRA libraries
When only two plasmid variants are co-amplified, the frequency of chimeric molecule formation may be underestimated because some micelles can host identical template molecules (this is primarily true for micelles with two plasmid templates). However, during ePCR co-amplification of a large number of homologous DNA sequences the probability of inclusion of identical template molecules in the same micelle is extremely low. Therefore, the proportion of chimeric molecules in multi-template ePCR samples may be higher than that detected for the two-plasmid template system described above. To check that, we applied the two-round ePCR approach for amplification of BC–ROI fragments from a couple of high diverse MRPA libraries, library-71 and library-83. Plasmids of both libraries contain 18-bp BC and 8-bp ROI sequences synthesized using degenerate oligonucleotides (and therefore not known a priori), which are separated by a constant 71-bp (library-71) or 83-bp (library-83) spacer (Fig. 1b). First, we amplified BC–ROI regions of library-71 using the optimal ePCR parameters defined for the two-plasmid template system (10 pg of template DNA in round #1 ePCR, 0.5 μl of the purified products of round #1 ePCR as template and 18 amplification cycles in round #2 ePCR). Based on the NGS data obtained, we defined a set of genuine BC sequences present in the plasmid library as described previously [29]. Next, we analyzed ROI sequences associated with each genuine BC and considered a sequence present in more than half of reads as a genuine one. Reads with the same genuine BC but other ROI sequences were regarded as chimeric ePCR products (for details, see Methods). We detected the formation of chimeric BC–ROI molecules with the average frequency of 0.57%, which is more than two-fold higher than that determined for the two-plasmid system (Table 2, ePCR, elongation time of 10 s). To further optimize ePCR conditions, we increased the duration of the extension step from 10 to 30 s. With this modified ePCR parameter, we amplified the BC–ROI regions of library-71 and library-83 and subjected the products to NGS. The analysis of sequencing data indicated a high reproducibility of the measurements both between replicates and libraries, and that on average the formation of chimeric products was decreased almost 2-fold, down to 0.30% (Table 2, ePCR, elongation time of 30 s).
Table 2.
Type of PCR | Elongation time, sa | MPRA library | Total read count | Reads with chimeric BC–ROI combinations, % | |||
---|---|---|---|---|---|---|---|
name | sizeb | R#1 | R#2 | R#1 | R#2 | ||
emulsion | 10 | library-71 | 22,621 | 526,056 | 497,217 | 0.580 | 0.555 |
30 | library-71 | 51,650 | 594,511 | 514,941 | 0.342 | 0.310 | |
30 | library-83 | 38,156 | 371,889 | 456,380 | 0.261 | 0.304 | |
conventional | 30 | library-71 | 85,249 | 776,878 | 784,138 | 0.336 | 0.337 |
30 | library-83 | 52,654 | 788,801 | 809,402 | 0.295 | 0.310 |
aIndicated elongation time was used in both rounds of PCR
bThe number of genuine BCs found in both replicates
R#1 and R#2 stand for replicate 1 and replicate 2, respectively
Next, to directly compare the performance of emulsion and conventional PCR approaches, we repeated the amplification of BC–ROI regions of both plasmid libraries using conventional PCR with exactly the same settings used for ePCR (10 pg of template DNA in round #1 PCR, 0.5 μl of the purified products of round #1 PCR as template and 18 amplification cycles in round #2 PCR, elongation time of 30 s in both rounds of PCR). Unexpectedly, NGS analysis showed that the proportion of chimeric BC–ROI molecules in conventional PCR products (0.32% on average) is just slightly higher than that observed for ePCR products (Table 2, conventional PCR, elongation time of 30 s). Moreover, the analysis of the chimeric molecule frequencies per BC showed that conventional PCR leads to a slight increase of low-abundant spurious products compared with ePCR, which was more pronounced for library-83 (Fig. 4). However, this did not affect the average frequency of chimeric products (reads) in samples prepared by ePCR and conventional PCR. Thus, we conclude that both, emulsion and conventional PCR approaches with the optimized settings can be successfully used for effective identification of initially unknown BC–ROI associations present in MPRA plasmid libraries.
Discussion
It is well known that co-amplification of a large number of very similar sequences, such as 16S rRNA genes, may result in recombination events and the formation of chimeric DNA molecules [30–34]. Although multiple studies analyzed the effects of the sequence similarity, elongation time, number of amplification cycles, different types of DNA polymerases and initial template concentration on the proportion of chimeric PCR products [15–17, 19, 25, 35], the issue is still relevant, especially for high-throughput functional studies such as MPRAs, in which two beforehand unknown DNA sequences are separated by a constant region.
In this study, we optimized sample preparation using emulsion and conventional PCR approaches for the subsequent NGS-based identification of combinations of variable DNA sequences present in diverse MPRA plasmid libraries. First, using a simple two-plasmid template system, we found parameters of two-round ePCR that resulted in as low as 0.22% of chimeric products. However, amplification reactions performed with exactly the same settings on an MPRA library resulted in about 2.6-fold increase in the proportion of chimeras. This increase is most likely caused by the different frequencies with which the individual micelles of the two systems include two different template molecules. In the multi-template system, most double inclusions will involve different molecules that can give rise to chimeric PCR products, whereas in the two-plasmid system one half of the double inclusions will be identical molecules that are unable to produce chimeras. To optimize the amplification parameters, we also increased 3-fold the duration of the extension step in order to maximize the chances for incompletely elongated DNA strands to complete the synthesis. Although, the Phusion High-Fidelity DNA Polymerase used in the reactions can synthesize DNA strands of 300–700 nucleotides in 10 s, and the total length of the amplified regions was below 300 bp (thus, they all can be expected to be synthesized in 10 s), an increase of the extension step from 10 to 30 s led to a pronounced (1.9-fold) decrease of the proportion of chimeric products. Thus, to minimize the formation of chimeric PCR products the duration of the extension step should be substantially increased over the standard recommended/used times.
Recently, it has been reported that the ePCR method reduces the formation of chimeric DNA molecules by a factor of 38 compared with conventional PCR (1.5% vs. 57%) [27]. However, we have surprisingly found that under optimized conditions conventional PCR performs almost as effectively as ePCR. We suggest that the differences between these two PCR methods are eliminated by the modification of parameters; namely, low initial amount of DNA template (approximately 2 × 106 molecules), two-round amplification, number of PCR cycles, and duration of the extension step. Since conventional PCR is much less laborious than ePCR, it can be recommended for the preparation of samples for NGS-based identification of a priori unknown sequence combinations present in MPRA libraries. Finally, we note that further adjustment of PCR settings might be required depending on the specific structure of the plasmid libraries.
Conclusions
The phenomenon of chimeric PCR product formation complicates and can potentially distort the results of functional MPRA assays relying on high-diversity plasmid libraries containing two random DNA sequences separated by a known constant region. In this study, using specific MPRA libraries as templates, we defined a number of PCR parameters that substantially suppress the formation of the chimeras. Importantly, both emulsion and conventional PCR performed with our optimized parameters result in almost the same low proportions (less than 0.5%) of chimeric DNA molecules in the amplified samples.
Methods
Conventional PCR
One-round conventional PCR
The 50-μl PCR mixtures contained 1 ng of equimolar mixture of plasmid#1 and plasmid#2 as template, 1 × Phusion HF Buffer (Thermo Fisher Scientific), 200 μM dNTPs, 0.5 μM primers Libr-A1-for/Libr-rev (primer sequences are provided in Table 3) and 2 U of Phusion High-Fidelity DNA Polymerase (Thermo Fisher Scientific). Amplification was performed under the following conditions: 95 °C for 1 min; 25 cycles of 95 °C for 10 s, 55 °C for 30 s, and 72 °C for 10 s; 72 °C for 5 min. Aliquots of 10 μl of the reactions were analyzed by agarose gel electrophoresis.
Table 3.
Primer name | Sequence 5′ → 3′ | Notes |
---|---|---|
Libr-A1-for | TCGTCGGCAGCGTCAGATGTGTATAAGAGACAG TTCGGAGT GACACTCGAGGATCGAG | Illumina sequencing primer sites “seq1” and “seq2” are underlined by single and double lines, respectively. |
Libr-A2-for | TCGTCGGCAGCGTCAGATGTGTATAAGAGACAG ACTCATTT GACACTCGAGGATCGAG | |
Libr-A3-for | TCGTCGGCAGCGTCAGATGTGTATAAGAGACAG GGGATCCG GACACTCGAGGATCGAG | |
The 8-bp sample index (“i”) sequences are in bold. | ||
Libr-A5-for | TCGTCGGCAGCGTCAGATGTGTATAAGAGACAG CAAGATAA GACACTCGAGGATCGAG | |
“Target specific forward” and “target specific reverse” sequences immediately flanking BC and ROI are in italic. | ||
Libr-A6-for | TCGTCGGCAGCGTCAGATGTGTATAAGAGACAG GGACAACG GACACTCGAGGATCGAG | |
Libr-A7-for | TCGTCGGCAGCGTCAGATGTGTATAAGAGACAG AGCGAGCT GACACTCGAGGATCGAG | |
Libr-A8-for | TCGTCGGCAGCGTCAGATGTGTATAAGAGACAG CTGCACGT GACACTCGAGGATCGAG | |
Libr-A9-for | TCGTCGGCAGCGTCAGATGTGTATAAGAGACAG GCACTAGT GACACTCGAGGATCGAG | |
Libr-rev | GTCTCGTGGGCTCGGAGATGTGTATAAGAGACAG CCCTAGAAAGATAATCATATTGT | |
Libr-P5-for | AATGATACGGCGACCACCGAGATCTACACTCGTCGGCAGCGTC | Illumina “P5” and “P7” adapters are underlined by single and double lines, respectively. |
Libr-P7-rev | CAAGCAGAAGACGGCATACGAGATGTCTCGTGGGCTCGG | |
BC1 | ACTAGGCAAGGCACCAG | |
BC2 | CGAGGGATATAGAGCGAGTTAA | |
ROI1 | TACGTTAAAGATAATCATGCATAAGTCG | |
ROI2 | TACGTTAAAGATAATCATGCTATATGGC | |
Illumina-qPCR-1 | AATGATACGGCGACCACCGA | KAPA Library Quantification Kit (Roche). |
Illumina-qPCR-2 | CAAGCAGAAGACGGCATACGA |
Two-round conventional PCR
Round #1 PCR mixtures (50 μl) contained 10 pg of MPRA library-71 or library-83 as template, 1 × Phusion HF Buffer (Thermo Fisher Scientific), 200 μM dNTPs, 0.5 μM primers Libr-AN-for/Libr-rev (Table 3), 0.5 mg/ml BSA (EURX) and 2 U of Phusion High-Fidelity DNA Polymerase (Thermo Fisher Scientific). Amplification was performed under the following conditions: 95 °C for 1 min; 15 cycles of 95 °C for 10 s, 55 °C for 30 s, and 72 °C for 30 s; 72 °C for 5 min. The PCR products were column-purified with the GeneJET PCR Purification Kit (Thermo Fisher Scientific) and eluted in 50 μl of nuclease-free water.
Round #2 PCR mixtures (50 μl) contained 0.5 μl of the purified round #1 PCR products as template, 1 × Phusion HF Buffer (Thermo Fisher Scientific), 200 μM dNTPs, 0.5 μM primers Libr-P5-for/Libr-P7-rev (Table 3), 0.5 mg/ml BSA (EURX) and 2 U of Phusion High-Fidelity DNA Polymerase (Thermo Fisher Scientific). Amplification was performed under the following conditions: 95 °C for 1 min; 18 cycles of 95 °C for 10 s, 52 °C for 30 s, and 72 °C for 30 s; 72 °C for 5 min.
Emulsion PCR
Emulsions were prepared and the products were purified according to the instructions of the Micellula DNA Emulsion & Purification Kit (EURX). An oil-surfactantmixture was freshly assembled, mixed thoroughly by vortexing and precooled to 4 °C. Water phase samples were mixed on ice as described below. Emulsion PCR products were column-purified after breaking the emulsions by addition of 1 ml of 2-butanol; DNA was eluted in 50 μl of the kit elution buffer preheated to 65 °C.
One-round ePCR
The 50-μl ePCR mixtures contained either 1 ng or 10 ng of equimolar mixture of plasmid#1 and plasmid#2 as template, 1 × Phusion HF Buffer (Thermo Fisher Scientific), 200 μM dNTPs, 0.5 μM primers Libr-A1-for/Libr-rev (Table 3), 0.5 mg/ml BSA (EURX) and 2 U of Phusion High-Fidelity DNA Polymerase (Thermo Fisher Scientific). Amplification was performed under the following conditions: 95 °C for 1 min; 25 cycles of 95 °C for 10 s, 55 °C for 30 s, and 72 °C for 10 s; 72 °C for 5 min. Aliquots of 10 μl of the purified reaction products were analyzed by agarose gel electrophoresis.
Two-round ePCR
Round #1 ePCR mixtures (50 μl) contained 10 pg, 100 pg or 1 ng of equimolar mixture of plasmid#1 and plasmid#2 or 10 pg of MPRA library-71 or library-83 as template, 1 × Phusion HF Buffer (Thermo Fisher Scientific), 200 μM dNTPs, 0.5 μM primers Libr-AN-for/Libr-rev (Table 3), 0.5 mg/ml BSA (EURX) and 2 U of Phusion High-Fidelity DNA Polymerase (Thermo Fisher Scientific). Amplification was performed under the following conditions: 95 °C for 1 min; 15 cycles of 95 °C for 10 s, 55 °C for 30 s, and 72 °C for 10 or 30 s (for details, see Results); 72 °C for 5 min. Aliquots of 10 μl of the purified reaction products were analyzed by agarose gel electrophoresis.
Round #2 ePCR mixtures (50 μl) contained 0.3 or 0.5 μl of the purified round #1 ePCR products as template (for details, see Results), 1 × Phusion HF Buffer (Thermo Fisher Scientific), 200 μM dNTPs, 0.5 μM primers Libr-P5-for/Libr-P7-rev (Table 3), 0.5 mg/ml BSA (EURX) and 2 U of Phusion High-Fidelity DNA Polymerase (Thermo Fisher Scientific). Amplification was performed under the following conditions: 95 °C for 1 min; 18 or 20 cycles (for details, see Results) of 95 °C for 10 s, 52 °C for 30 s, and 72 °C for 10 or 30 s (for details, see Results); 72 °C for 5 min. Aliquots of 10 μl of the purified reaction products were analyzed by agarose gel electrophoresis.
Test PCR for the detection of the chimeric amplification products
The 50-μl PCR mixtures contained 0.5 μl of the purified amplification products as template, 1 × DreamTaq buffer (Thermo Fisher Scientific), 200 μM dNTPs, 0.5 μM primers BC1/ROI1 or BC2/ROI2 or BC1/ROI2 or BC2/ROI1 (Table 3) and 2.5 U of Taq DNA polymerase (Thermo Fisher Scientific). Amplification was performed under the following conditions: 95 °C for 1 min; 12 or 14 cycles (for details, see Results) of 95 °C for 10 s, 55 or 60 °C (for details, see Results) for 15 s, and 72 °C for 10 s; 72 °C for 5 min. Aliquots of 10 μl of the reactions were analyzed by agarose gel electrophoresis.
Quantitative real-time PCR
To accurately measure the concentration of DNA libraries for Illumina NGS, we used quantitative real-time PCR. The 20-μl PCR mixtures contained purified conventional or emulsion PCR round #2 products diluted 50, 100 or 200 times as template, 1 × BioMaster HS-qPCR SYBR Blue (Biolabmix) and 0.25 μM primers Illumina-qPCR-1 and Illumina-qPCR-2 (Table 3). Amplification was performed in a CFX96 Touch Real-Time PCR Detection System (Bio-Rad) under the following conditions: 95 °C for 5 min, 35 cycles of 95 °C for 30 s, 60 °C for 45 s. All measurements were done in three replicates.
Illumina NGS and data analysis
Sequencing of 151 nucleotide-longsingle-end reads was performed on an Illumina MiSeq machine using MiSeq Reagent Kit v3 150 cycles (Illumina). Fastq files were processed and the data were analyzed using custom-made scripts (for details, see Additional file 2, Additional file 3: Table S1). Briefly, BC and ROI sequences were extracted from the reads. Next, a set of genuine BCs was defined as described previously [29]. Namely, at this step mutant versions of BCs (arisen due to PCR and/or NGS errors) that contain up to 2 nucleotide substitutions were identified and associated with the appropriate intact BCs. Only genuine BCs found in at least 2 reads were kept for the downstream analysis. Then, for each genuine BC the coupled ROI sequences were counted. The ROI sequence found in more than one half of the reads carrying the genuine BC (with Frequency > 0.5) was considered as genuine ROI. ROI sequences differing by 1 nucleotide from the genuine ROI were considered as variations arisen due to PCR and/or NGS errors, while all other ROI sequences were considered to be a result of chimeric PCR.
Additional files
Acknowledgements
We thank Lyubov A. Yarinich and Mikhail O. Lebedev for generation of the BC–ROI plasmid constructs and libraries, Lidiya V. Boldyreva for useful suggestions, Maurizio Gatti for critical reading of the manuscript, and Petr P. Laktionov and Daniil A. Maksimov for the assistance with the Illumina DNA sequencing that was performed at the Molecular and Cellular Biology core facility of the Institute of Molecular and Cellular Biology of the Siberian Branch of the Russian Academy of Sciences.
About this supplement
This article has been published as part of BMC Genomics Volume 20 Supplement 7, 2019: Selected articles from BGRS\SB-2018: genomics (part 2). The full contents of the supplement are available online at https://bmcgenomics.biomedcentral.com/articles/supplements/volume-20-supplement-7.
Abbreviations
- BC
Barcode
- ePCR
Emulsion PCR
- MPRA
Massively parallel reporter assay
- NGS
Next-generation sequencing
- NTC
No template control
Authors’ contributions
Conceived and designed the experiments: ESO and AVP. Performed the experiments: ESO and AEL. Analyzed the data: AVI, ESO and AEL. Wrote the paper: ESO and AVP. All authors read and approved the final version of the manuscript.
Funding
This work was mainly supported by the Russian Science Foundation grant 16-14-10288 and in part of optimized conventional PCR experiments by the Russian Science Foundation grant 18-74-00050. Publication costs are funded by the Russian Science Foundation 18-74-00050.
Availability of data and materials
The raw NGS datasets generated in the study and custom-made scripts for their analysis are not publicly available, but can be obtained upon request to the corresponding author.
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Evgeniya S. Omelina, Email: omelina@mcb.nsc.ru
Anton V. Ivankin, Email: anton.ivankin@gmail.com
Anna E. Letiagina, Email: leshchenkoanya@gmail.com
Alexey V. Pindyurin, Email: a.pindyurin@mcb.nsc.ru
References
- 1.Haberle V, Lenhard B. Dissecting genomic regulatory elements in vivo. Nat Biotechnol. 2012;30(6):504–506. doi: 10.1038/nbt.2266. [DOI] [PubMed] [Google Scholar]
- 2.Inoue F, Ahituv N. Decoding enhancers using massively parallel reporter assays. Genomics. 2015;106(3):159–164. doi: 10.1016/j.ygeno.2015.06.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Levo M, Segal E. In pursuit of design principles of regulatory sequences. Nat Rev Genet. 2014;15(7):453–468. doi: 10.1038/nrg3684. [DOI] [PubMed] [Google Scholar]
- 4.Komura R, Aoki W, Motone K, Satomura A, Ueda M. High-throughput evaluation of T7 promoter variants using biased randomization and DNA barcoding. PLoS One. 2018;13(5):e0196905. doi: 10.1371/journal.pone.0196905. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Patwardhan RP, Lee C, Litvin O, Young DL, Pe'er D, Shendure J. High-resolution analysis of DNA regulatory elements by synthetic saturation mutagenesis. Nat Biotechnol. 2009;27(12):1173–1175. doi: 10.1038/nbt.1589. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Melnikov A, Zhang X, Rogov P, Wang L, Mikkelsen TS. Massively parallel reporter assays in cultured mammalian cells. J Vis Exp. 2014;(90):e51719. [DOI] [PMC free article] [PubMed]
- 7.Patwardhan RP, Hiatt JB, Witten DM, Kim MJ, Smith RP, May D, Lee C, Andrie JM, Lee SI, Cooper GM, et al. Massively parallel functional dissection of mammalian enhancers in vivo. Nat Biotechnol. 2012;30(3):265–270. doi: 10.1038/nbt.2136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Kheradpour P, Ernst J, Melnikov A, Rogov P, Wang L, Zhang X, Alston J, Mikkelsen TS, Kellis M. Systematic dissection of regulatory motifs in 2000 predicted human enhancers using a massively parallel reporter assay. Genome Res. 2013;23(5):800–811. doi: 10.1101/gr.144899.112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Smith RP, Taher L, Patwardhan RP, Kim MJ, Inoue F, Shendure J, Ovcharenko I, Ahituv N. Massively parallel decoding of mammalian regulatory sequences supports a flexible organizational model. Nat Genet. 2013;45(9):1021–1028. doi: 10.1038/ng.2713. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Tewhey R, Kotliar D, Park DS, Liu B, Winnicki S, Reilly SK, Andersen KG, Mikkelsen TS, Lander ES, Schaffner SF, et al. Direct identification of hundreds of expression-modulating variants using a multiplexed reporter assay. Cell. 2016;165(6):1519–1529. doi: 10.1016/j.cell.2016.04.027. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.White MA, Myers CA, Corbo JC, Cohen BA. Massively parallel in vivo enhancer assay reveals that highly local features determine the cis-regulatory function of ChIP-seq peaks. Proc Natl Acad Sci U S A. 2013;110(29):11952–11957. doi: 10.1073/pnas.1307449110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.White MA. Understanding how cis-regulatory function is encoded in DNA sequence using massively parallel reporter assays and designed sequences. Genomics. 2015;106(3):165–170. doi: 10.1016/j.ygeno.2015.06.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Vvedenskaya IO, Zhang Y, Goldman SR, Valenti A, Visone V, Taylor DM, Ebright RH, Nickels BE. Massively systematic transcript end readout, “MASTER”: transcription start site selection, transcriptional slippage, and transcript yields. Mol Cell. 2015;60(6):953–965. doi: 10.1016/j.molcel.2015.10.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Shao K, Ding W, Wang F, Li H, Ma D, Wang H. Emulsion PCR: a high efficient way of PCR amplification of random DNA libraries in aptamer selection. PLoS One. 2011;6(9):e24910. doi: 10.1371/journal.pone.0024910. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Meyerhans A, Vartanian JP, Wain-Hobson S. DNA recombination during PCR. Nucleic Acids Res. 1990;18(7):1687–1691. doi: 10.1093/nar/18.7.1687. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Qiu X, Wu L, Huang H, McDonel PE, Palumbo AV, Tiedje JM, Zhou J. Evaluation of PCR-generated chimeras, mutations, and heteroduplexes with 16S rRNA gene-based cloning. Appl Environ Microbiol. 2001;67(2):880–887. doi: 10.1128/AEM.67.2.880-887.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Wang G. C. Y., Wang Y. The frequency of chimeric molecules as a consequence of PCR co-amplification of 16S rRNA genes from different bacterial species. Microbiology. 1996;142(5):1107–1114. doi: 10.1099/13500872-142-5-1107. [DOI] [PubMed] [Google Scholar]
- 18.Wang GCY, Wang Y. Frequency of formation of chimeric molecules as a consequence of PCR coamplification of 16S rRNA genes from mixed bacterial genomes. Appl Environ Microbiol. 1997;63(12):4645–50. [DOI] [PMC free article] [PubMed]
- 19.Acinas SG, Sarma-Rupavtarm R, Klepac-Ceraj V, Polz MF. PCR-induced sequence artifacts and bias: insights from comparison of two 16S rRNA clone libraries constructed from the same sample. Appl Environ Microbiol. 2005;71(12):8966–8969. doi: 10.1128/AEM.71.12.8966-8969.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Bjørnsgaard Aas A, Davey ML, Kauserud H. ITS all right mama: investigating the formation of chimeric sequences in the ITS2 region by DNA metabarcoding analyses of fungal mock communities of different complexities. Mol Ecol Resour. 2017;17(4):730–741. doi: 10.1111/1755-0998.12622. [DOI] [PubMed] [Google Scholar]
- 21.Cronn R, Cedroni M, Haselkorn T, Grover C, Wendel JF. PCR-mediated recombination in amplification products derived from polyploid cotton. Theor Appl Genet. 2002;104(2–3):482–489. doi: 10.1007/s001220100741. [DOI] [PubMed] [Google Scholar]
- 22.Potapov V, Ong JL. Examining sources of error in PCR by single-molecule sequencing. PLoS One. 2017;12(1):e0169774. doi: 10.1371/journal.pone.0169774. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Bradley RD, Hillis DM. Recombinant DNA sequences generated by PCR amplification. Mol Biol Evol. 1997;14(5):592–593. doi: 10.1093/oxfordjournals.molbev.a025797. [DOI] [PubMed] [Google Scholar]
- 24.Klug J, Wolf M, Beato M. Creating chimeric molecules by PCR directed homologous DNA recombination. Nucleic Acids Res. 1991;19(10):2793. doi: 10.1093/nar/19.10.2793. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Lahr Daniel J. G., Katz Laura A. Reducing the impact of PCR-mediated recombination in molecular evolution and environmental studies using a new-generation high-fidelity DNA polymerase. BioTechniques. 2009;47(4):857–866. doi: 10.2144/000113219. [DOI] [PubMed] [Google Scholar]
- 26.Liu J, Song H, Liu D, Zuo T, Lu F, Zhuang H, Gao F. Extensive recombination due to heteroduplexes generates large amounts of artificial gene fragments during PCR. PLoS One. 2014;9(9):e106658. doi: 10.1371/journal.pone.0106658. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Boers SA, Hays JP, Jansen R. Micelle PCR reduces chimera formation in 16S rRNA profiling of complex microbial DNA mixtures. Sci Rep. 2015;5:14181. doi: 10.1038/srep14181. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Williams R, Peisajovich SG, Miller OJ, Magdassi S, Tawfik DS, Griffiths AD. Amplification of complex gene libraries by emulsion PCR. Nat Methods. 2006;3(7):545–550. doi: 10.1038/nmeth896. [DOI] [PubMed] [Google Scholar]
- 29.Akhtar Waseem, de Jong Johann, Pindyurin Alexey V., Pagie Ludo, Meuleman Wouter, de Ridder Jeroen, Berns Anton, Wessels Lodewyk F.A., van Lohuizen Maarten, van Steensel Bas. Chromatin Position Effects Assayed by Thousands of Reporters Integrated in Parallel. Cell. 2013;154(4):914–927. doi: 10.1016/j.cell.2013.07.018. [DOI] [PubMed] [Google Scholar]
- 30.Haas B. J., Gevers D., Earl A. M., Feldgarden M., Ward D. V., Giannoukos G., Ciulla D., Tabbaa D., Highlander S. K., Sodergren E., Methe B., DeSantis T. Z., Petrosino J. F., Knight R., Birren B. W. Chimeric 16S rRNA sequence formation and detection in Sanger and 454-pyrosequenced PCR amplicons. Genome Research. 2011;21(3):494–504. doi: 10.1101/gr.112730.110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Mysara M, Saeys Y, Leys N, Raes J, Monsieurs P. CATCh, an ensemble classifier for chimera detection in 16S rRNA sequencing studies. Appl Environ Microbiol. 2015;81(5):1573–1584. doi: 10.1128/AEM.02896-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Wright ES, Yilmaz LS, Noguera DR. DECIPHER, a search-based approach to chimera identification for 16S rRNA sequences. Appl Environ Microbiol. 2012;78(3):717–725. doi: 10.1128/AEM.06516-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Gonzalez JM, Zimmermann J, Saiz-Jimenez C. Evaluating putative chimeric sequences from PCR-amplified products. Bioinformatics. 2005;21(3):333–337. doi: 10.1093/bioinformatics/bti008. [DOI] [PubMed] [Google Scholar]
- 34.Gontcharova Viktoria. Black Box Chimera Check (B2C2): a Windows-Based Software for Batch Depletion of Chimeras from Bacterial 16S rRNA Gene Datasets. The Open Microbiology Journal. 2010;4(1):47–52. doi: 10.2174/1874285801004010047. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Judo M. S. B., Wedel A. B., Wilson C. Stimulation and suppression of PCR-mediated recombination. Nucleic Acids Research. 1998;26(7):1819–1825. doi: 10.1093/nar/26.7.1819. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The raw NGS datasets generated in the study and custom-made scripts for their analysis are not publicly available, but can be obtained upon request to the corresponding author.