This article demonstrates a detailed protocol for DNA isolation and high-throughput sequencing library construction from herbarium material including rescue of exceptionally poor-quality DNA.
Herbaria are an invaluable source of plant material that can be used in a variety of biological studies. The use of herbarium specimens is associated with a number of challenges including sample preservation quality, degraded DNA, and destructive sampling of rare specimens. In order to more effectively use herbarium material in large sequencing projects, a dependable and scalable method of DNA isolation and library preparation is needed. This paper demonstrates a robust, beginning-to-end protocol for DNA isolation and high-throughput library construction from herbarium specimens that does not require modification for individual samples. This protocol is tailored for low quality dried plant material and takes advantage of existing methods by optimizing tissue grinding, modifying library size selection, and introducing an optional reamplification step for low yield libraries. Reamplification of low yield DNA libraries can rescue samples derived from irreplaceable and potentially valuable herbarium specimens, negating the need for additional destructive sampling and without introducing discernible sequencing bias for common phylogenetic applications. The protocol has been tested on hundreds of grass species, but is expected to be adaptable for use in other plant lineages after verification. This protocol can be limited by extremely degraded DNA, where fragments do not exist in the desired size range, and by secondary metabolites present in some plant material that inhibit clean DNA isolation. Overall, this protocol introduces a fast and comprehensive method that allows for DNA isolation and library preparation of 24 samples in less than 13 h, with only 8 h of active hands-on time with minimal modifications.
Herbarium collections are a potentially valuable source of both species and genomic diversity for studies including phylogenetics1,2,3, population genetics4,5, conservation biology6, invasive species biology7, and trait evolution8. The ability to obtain a rich diversity of species, populations, geographical locations, and time points highlights the "treasure chest"9 that is the herbarium. Historically, the degraded nature of herbarium-derived DNA has hindered PCR-based projects, often relegating researchers to using only markers found in high copy, such as regions of the chloroplast genome or the internal transcribed spacer (ITS) of the ribosomal RNA. Quality of specimens and DNA vary extensively based on methods of preservation9,10, with double-stranded breaks and fragmentation from heat used in the drying process being the most common forms of damage, creating the so-called 90% DNA lock-up that has encumbered PCR-based studies11. Aside from fragmentation, the second most prevalent issue in herbarium genomics is contamination, such as that derived from endophytic fungi13 or fungi acquired postmortem after collection but before mounting in the herbarium12, though this problem can be solved bioinformatically given the right fungal database (see below). A third, and less common, problem is sequence modification through cytosine deamination (C/G→T/A)14, although it is estimated to be low (~0.03%) in herbarium specimens11. With the advent of high-throughput sequencing (HTS), the issue of fragmentation can be overcome with short reads and sequencing depth12,15, allowing genomic-level data acquisition from numerous specimens with low quality DNA, and even sometimes permitting whole genome sequencing15.
Herbarium samples are becoming more frequently used and are a larger component of phylogenetic projects16. A current challenge of using herbarium specimens for HTS is consistently obtaining sufficient double stranded DNA, a necessary prerequisite for sequencing protocols, from numerous species in a timely manner, without needing to optimize methods for individual specimens. In this paper, a protocol for DNA extraction and library preparation of herbarium specimens is demonstrated that takes advantage of existing methods and modifies them to allow for fast and replicable results. This method allows for complete processing from specimen to a library of 24 samples in 13 h, with 8 h hands-on time, or 16 h, with 9 h hands-on time, when the optional reamplification step is required. Simultaneous processing of more samples is achievable, though the limiting factor is centrifuge capacity and technical skill. The protocol is designed to require only typical laboratory equipment (thermocycler, centrifuge, and magnetic stands) instead of specialized equipment, such as a nebulizer or sonicator, for shearing DNA.
DNA quality, fragment size, and quantity are limiting factors for the use of herbarium specimens in high-throughput sequencing experiments. Other methods for isolating herbarium DNA and creating high-throughput sequencing libraries have demonstrated the utility of using as little as 10 ng of DNA16; however they require experimentally determining the optimum number of PCR cycles required for library preparation. This becomes impractical when dealing with exceedingly small amounts of viable double stranded DNA (dsDNA), as some herbarium specimens produce only enough DNA for a single library preparation. The method presented here uses a single number of cycles regardless of sample quality, so no DNA is lost in library optimization steps. Instead, a reamplification step is invoked when libraries do not meet the minimum amounts needed for sequencing. Many herbarium samples are rare and possess little material making it difficult to justify destructive sampling in many cases. To counter this, the presented protocol allows dsDNA input sizes less than 1.25 ng into the library preparation process, expanding the scope of viable samples for high-throughput sequencing and minimizing the need for destructive sampling of specimens.
The following protocol has been optimized for grasses and tested on hundreds of different species from herbarium samples, although we expect that the protocol can be applied to many other plant groups. It includes an optional recovery step that can be used to save low quality and/or rare specimens. Based on over two hundred herbarium specimens tested, this protocol works on specimens with low tissue input and quality, allowing for the preservation of rare specimens through minimal destructive sampling. Here it is shown that this protocol can provide high quality libraries that can be sequenced for phylogenomics-based projects.
1. Prior to Start
2. DNA Extraction
3. Quality Control (QC)
4. DNA Shearing
NOTE: This is an optimized version of a commercial double-stranded fragmentase protocol (see Table of Materials).
5. Bead Clean-up
6. Library Preparation
NOTE: This is a modified version of a commercially available library kit (see Table of Materials protocol).
Cycle Step | Temp. | Time | Cycles |
Initial Denaturation | 98 °C | 30 s | 1 |
Denaturation | 98 °C | 10 s | 12 |
Annealing/Extension | 65 °C | 75 s | 12 |
Final Extension | 65 °C | 5 min | 1 |
Hold | 4 °C |
Table 1: PCR protocol denaturation, annealing, and extension times and temperatures. Temperature and times were optimized for the reagents presented in this protocol. If reagents are altered, temperatures and times should be optimized again.
DNA Isolation and Final Library Yield
In this study, the efficacy of the protocol for the isolation of herbarium DNA and the recovery of high quality sequencing libraries was demonstrated using fifty different samples with the oldest from 1920 and the youngest from 2012 (Table 2). For each sample, approximately 10 mg of leaf tissue was used for DNA isolation. Greener leaf tissue was favored if available, and no tissue with obvious fungal contamination was selected. Successful isolations can be made using yellow or brown tissue, though yield should be expected to be lower. Total double stranded DNA (dsDNA) from the initial isolation ranged from 3.56 ng to 2,610 ng. As expected, DNA obtained from herbarium specimens was highly degraded (Figure 1A, Supplemental Figure 1). A portion of these isolations were used for enzymatic shearing (1.26–464 ng). Though herbarium DNA is already sheared through the preservation process, optimization of the protocol requires additional shearing to improve overall library yield. The total recovery of dsDNA post-shearing ranged from <1% to 51% of input dsDNA, resulting in a minimum of less than 1.25 ng of starting DNA for library preparation and a maximum of 328 ng. The extreme loss of DNA in some samples can be attributed to the already small fragment size of much of the DNA prior to enzymatic shearing (Figure 1A, Supplemental Figure 1). The use of a 90% volume bead cleanup on the sheared DNA purposely removed the smallest fragments of DNA to enrich for larger, more desirable fragment sizes. These small fragments were especially seen in samples TK463, TK657, and TK694, as denoted by an intense signal at the 100 base pair mark (Figure 1A).
The total quantity of the library post size selection ranged from 1.425 ng to 942.5 ng (Table 2, Supplemental Table 1). For 23 of the samples, the initial extraction and library preparation did not yield an adequate amount of library (<10 nM; Table 2, Supplemental Table 1), so these samples were subjected to the reamplification and recovery steps of the protocol, resulting in a 14–680x increase in total library (Table 2, Supplemental Table 1). Final libraries resulted in a band between 350 and 500 base pairs (Figure 1B, Supplemental Figure 2). At times, a second band that was larger than the expected library size was seen (Figure 1B, Supplemental Figure 2). This occurred when the reamplification PCR exhausted available primers and began annealing library adaptors of non-homologous DNA fragments. This creates a molecule where the ends (the adaptors) were properly annealing, but the DNA insert did not. This "bubbled" molecule appeared larger on a gel, as it moved more slowly through the gel matrix. These annealing errors were fixed by preparing another reamplification reaction from the already reamplified library and running it for a single cycle. This single cycle provided primers for proper annealing and amplification, removing the second band (Supplemental Figure 3).
Reamplification of libraries facilitated final library concentrations of at least 10 nM. These concentrations allowed libraries to be diluted to equal molarity and pooled in equal representation, helping to negate issues that would have arisen with unequal sample quality and sequencing library yield. If the goal of a project is chloroplast genome sequencing, then the total amount of sequencing needed will vary as different lineages and tissues differ in the total percent of reads that originate from chloroplast DNA19. Typically, 50–100x projected coverage of the chloroplast genome is sufficient for assembly, and sequencing runs can be pooled to include as many as 70 individuals depending on species and sequencing method.
Testing for Contamination, Bias and Variation Caused by Reamplification
A notable concern for HTS sequencing is introduction of bias into libraries through extensive PCR amplification20. To test the effects of reamplification and identify potential bias in common phylogenetic applications of herbarium material, we compared a successfully sequenced library (TK686) with the same library diluted 1:5 and reamplified (designated TK686-R). Both TK686 and TK686-R were sequenced on an Illumina HiSeq4000 at the University of Illinois Roy J. Carver Biotechnology Center and the Michigan State University Research Technology Support Facility, respectively, using paired end 150 base pair reads (see Table 3 for sequencing details). Raw reads have been deposited in the NCBI SRA (SRP128083). Reads were cleaned using Trimmomatic v.0.3621 including adaptor trimming using NEB adaptor sequence, quality filtering for an average phred score of 20 for a 10 base pair sliding window, and a minimum cut off size of 40 base pairs. As one of the primary issues with herbarium specimens is fungal contamination, contamination was estimated by mapping reads against a portion of the JGI MycoCosm fungal genome database22 (312 nuclear genomes and 79 mitochondrial genomes) using bowtie2 v. 2.2.923 using the "very-sensitive-local" parameter set. TK686 and TK686-R libraries were indistinguishable in nuclear fungal contamination (9.24% and 9.68%, respectively) and mitochondrial fungal contamination (0.94% and 0.8%) (Table 3). Though this is only one example, it does suggest that fungal contamination of herbarium samples is not negligible and should be removed prior to using herbarium-derived sequence data. The database and commands used to identify and remove fungal contamination can be found in M. R. McKain's GitHub repository Herbarium Genomics24.
Chloroplast genome sequencing is commonly used for phylogenetic analyses, and herbarium specimens are increasingly used as source material12. In order to test the fidelity of reamplification in the chloroplast genome assembly, chloroplast genomes for both TK686 and TK686-R were assembled using Fast-Plast v.1.2.525 under default settings with the bowtie index set to Poales. A full chloroplast genome was obtained for TK686-R, but the TK686 chloroplast genome was assembled into seven contigs due to lower read depth. The TK686 contigs were assembled manually following McKain et al.26 Fully assembled chloroplast genomes were aligned to each other in a GUI-based alignment software (see Table of Materials) and variation between assemblies was assessed. A total of 12 SNPs and one indel were identified between chloroplast assemblies for TK686 and TK686-R. For each variant, coverage was assessed in read sets from both TK686 and TK686-R. In all cases, the most common variant was the same between the two libraries. TK686 demonstrated one T→C, one G→A, one G→T, one G→-, one C→A, one T→A, and four C→A variants. Five of these variants occurred within a homopolymer string, suggesting their incorporation into the assembly may have been the result of sequencing error and low overall coverage. The others may have been the result of either chloroplast haplotype variation, sequencing error, or cytosine deamination, or some combination of these factors. TK686-R had one C→T, one G→T, and one A→G. The C→T and G→T variants were found in a homopolymer as above. Ultimately, identical complete chloroplast genomes were identified from both read sets. A single chloroplast genome from TK686 was annotated using Verdant21 and compared to other members of the tribe Andropogoneae. All standard chloroplast features were annotated: 8 rRNAs, 38 tRNAs, and 84 protein coding genes. The complete chloroplast genome is available from GenBank (MF170217) and Verdant27.
Potential bias from the reamplification of the libraries was also determined through estimation of percent GC and total estimated transposon content. Percent GC was estimated using a custom script24. Differences in GC content of the two samples were negligible, with 49.7% GC in TK686 and 51.2% GC in TK686-R. Transposon composition was estimated using Transposome28. For both libraries, 100,000 reads were randomly subsampled and transposon composition was estimated using a percent identity of 90, a fraction coverage of 0.55, a cluster size of 100, and the RepBase 21.10 grass repeat reference set29. This was repeated 100 times to perform bootstrapping on transposon estimation from these datasets. Total genome percentages for major subfamilies of transposons were extracted from Transposome output, and the mean and standard deviation of these for the 100 replicates were estimated. All scripts used to generate these outputs can be found in M. R. McKain's Github repository Transposons30, and all results have been deposited in Dryad (doi:10.5061/dryad.r8t2m). Using the two most prevalent transposon subfamilies as indicators (Copia and Gypsy long terminal repeat retrotransposons), the results were nearly identical with Copia at 33.52 ± 4.00% and 31.68 ± 2.94% and Gypsy at 24.83 ± 2.72% and 24.00 ± 2.35% in TK686 and TK686-R, respectively (Table 3). These test results suggest that the reamplification step of this protocol did not create meaningful sequencing bias for high-level genome metrics. However, it should be noted that this single example may not be fully representative of all reamplified libraries. This single test demonstrates that the reamplification step was not inherently biasing genome metrics in TK686/TK686-R. Introduced bias would not affect the assembly of a chloroplast genome given sufficient coverage of sequencing, but it is recommended that experiments, as presented in this study with TK686/TK686-R, are conducted on target lineages to verify that bias is not occurring during studies investigating transposable element diversity.
Figure 1: Agarose gel images of A) DNA isolation and B) final sequencing libraries from ten herbarium specimens. For each lane, 3 µL of DNA or library was used. (A) DNA was degraded in all herbarium isolations as seen by the general smear. (B) Final sequencing libraries depict a primary band of 300-500 base pairs with a wider distribution of 200-1,000 base pairs; the latter is more prevalent in reamplified libraries. Lanes for both (A) and (B) were identified by sample and can be compared to results in Table 2. Ladder size was depicted in base pairs (bp). Please click here to view a larger version of this figure.
Figure 2: Circular plot of Schizachyrium scoparium (TK686) chloroplast genome with annotation. The fully assembled genome from shotgun sequencing of herbarium-derived DNA exhibited a total length of 139,296 base pairs (bp), a large single copy region (LSC) of 81,401 bp, an inverted repeat region (IR) of 22,669 bp, and a small single copy region (SSC) of 12,557 bp. All standard protein-coding genes, tRNAs, and rRNAs for members of the Andropogoneae tribe were identified in the annotation. Please click here to view a larger version of this figure.
Table 2: DNA extraction and library preparation results for ten herbarium samples and four reamplified libraries. The total double stranded DNA at various steps in the protocol demonstrated how variable quality can be, especially when filtered for size. Please click here to download this table.
Table 3: Sequencing statistics for TK686 and the reamplified TK686R. Reamplification does not affect the overall incidence of fungal genome contamination, GC content estimation, transposon composition estimation, or the ability to assemble whole chloroplast genomes. Please click here to download this table.
Supplemental Table 1: DNA extraction and library preparation results for forty additional herbarium samples, including twenty reamplified libraries. Total double stranded DNA at various steps in the protocol demonstrated how variable quality can be, especially when filtered for size. Please click here to download this table.
Supplemental Figure 1: Agarose gel images of forty additional DNA isolations from herbarium specimens. Both (A) and (B) depict twenty separate DNA isolations and demonstrate the characteristic degradation of herbarium-derived DNA. For each lane, 3 µL of DNA was used. Lanes for both (A) and (B) were identified by sample and can be compared to results in Supplemental Table 1. Ladder size is depicted in base pairs (bp). White flecks on the image are due to artefacts in the gel imager that could not be removed with cleaning. Please click here to download this figure.
Supplemental Figure 2: Agarose gel images of forty additional sequencing libraries from herbarium-derived DNA. For each lane, 3 µL of library was used. Final sequencing libraries are found in both (A) and (B) with an average size of 300-500 base pairs. Secondary bands seen in some amplified samples suggest "bubbling" of libraries. Lanes for both (A) and (B) are identified by sample and can be compared to results in Supplemental Table 1. Ladder size is depicted in base pairs (bp). Please click here to download this figure.
Supplemental Figure 3: Agarose gel image of secondary band removal with an additional single cycle PCR step. Please click here to download this figure.
The protocol presented here is a comprehensive and robust method for DNA isolation and sequencing library preparation from dried plant specimens. The consistency of the method and minimal need to alter it based on specimen quality make it scalable for large herbarium-based sequencing projects. The inclusion of an optional reamplification step for low yield libraries allows the inclusion of low quality, low quantity, rare, or historically important samples that would otherwise not be suitable for sequencing.
Importance of Initial DNA Yield
Herbarium-derived DNA is often degraded as a consequence of initial specimen preservation11, with DNA of specimens less than 300 years old being as degraded as DNA isolated from animal remains that are several hundred to thousands of years old31,32. Consequently, optimization of initial DNA yield is vital in obtaining enough high-quality dsDNA for successful sequencing library preparation. For grass species, an optimal yield is achieved through the combined use of sterilized sand and liquid nitrogen in the initial grinding step, providing a more thorough destruction of cell walls and release of nucleic acids. This approach increases both desirable larger dsDNA and undesirable smaller fragments (Figure 1, Supplemental Figure 1, Table 2, Supplemental Table 1). Subsequent bead cleaning steps isolate and enrich for fragments of a size appropriate for sequencing (300–500 base pairs), greatly reducing recovery but also enriching for longer fragments (Table 2, Supplemental Table 1). Alterations to the initial DNA isolation steps may be necessary based on the lineage being sampled in order to reduce the effects of secondary metabolites on downstream processing18.
Optimization of Library Adaptors
The concentration of adaptors used for ligation has a direct effect on the amount of adaptor dimer in finished libraries. Adaptor dimers result from adaptor self-ligation when insufficient sample is present, and contaminate sequencing runs33. The relatively low total dsDNA available from herbarium specimens necessitates dilution of adaptors prior to ligation. Adaptors can be diluted 50-fold from the stock concentration of 15 µM (see Protocol Section) facilitating high-throughput library preparation without the need to individually measure and dilute adaptor for each sample (Table 2, Supplemental Table 1). Though saturation of adaptors could in principle decrease overall library yield, it is unlikely that herbarium specimens will yield dsDNA in such excess of adaptor.
Variation in Bead Cleaning Steps for Higher Yields
Size selection in preparation of sequencing libraries is usually done after adaptor ligation, allowing for amplification of fragments primarily within the desired size range; this is done by removing fragments that are both larger and smaller than the target size. The low amount of herbarium-derived dsDNA for library preparation is exacerbated after size selection at this step, resulting in unworkably low total dsDNA and ultimately low yield in the final library. By conducting a standard bead-cleaning step using 90% volume beads after ligation, more total dsDNA remains for enrichment in the amplification step. Extremely small DNA fragments are preferentially removed using 90% volume beads. Size selection is conducted in the final step on the amplified library, which ensures enrichment of desired fragment sizes. Total volumes of beads can be adjusted to select the desired range, though the two-step volumes of 25 µL and 6 µL of beads are optimized to retrieve libraries of 400-500 base pair inserts within this protocol (Figure 1B, Supplementary Figure 2).
Sample Rescue through Reamplification of Libraries
Despite best practices in DNA isolation and library preparation, final concentrations of sequencing libraries may be inadequate for further sequencing. The destructive nature of sampling and often limited expendable material from herbarium specimens does not always permit repeating DNA isolation. By reamplifying the library up to 12 additional PCR cycles, even exceptionally poor libraries can be saved. A standard primer pair is used for amplification, which is compatible with either dual or single indexed library protocols. A primary concern for reamplification is the introduction of bias, often through reduction in GC-rich portions of the genome20. By using a high-fidelity polymerase (see Table of Materials), these potential biases are potentially avoided. This is demonstrated through the minimal variation of GC content of the sequenced libraries TK686 and TK686-R (Table 3). As a second verification, the transposon content of both TK686 and TK686-R was estimated and showed no discernible differences (Table 3). Finally, the whole chloroplast genome of this accession was assembled from TK686 and TK686-R, which resulted in identical sequences after close inspection of SNP variation between the two assemblies (Figure 2, Table 3). These tests suggest that standard genomic metrics, such as GC content and transposon composition, and the ability to assemble complete chloroplast genomes, may not be affected by reamplification. This opens up the possibility of incorporating herbarium specimens thought to be too degraded or lacking in material into phylogenomic studies without concern for introduced bias through PCR. These reamplified libraries might also be used for sequence capture34, although it would be necessary to test whether SNP calling is biased. It is recommended that small scale tests of bias be conducted with each project to verify that bias is not introduced into sequencing libraries.
Limitations and Possible Modifications
Even though this protocol has worked on hundreds of herbarium specimens, poorly preserved tissues may still fail at any step. It is, however, exceedingly rare for libraries to fail from tissues with successful DNA extractions, especially after library rescue through reamplification. The size selection steps can be modified to target different sized fragments or to reduce the wide range of fragments seen in some final libraries. As with all plant-based extraction protocols, steps may be needed to remove lineage-specific secondary compounds that can impede the overall protocol. As presented, this protocol provides a standard method for DNA isolation and high-throughput library preparation for grass herbarium specimens, and through verification and experimentation is likely to be amendable to other plant lineages.
The authors have nothing to disclose.
We thank Taylor AuBuchon-Elder, Jordan Teisher, and Kristina Zudock for assistance in sampling herbarium specimens, and the Missouri Botanical Garden for access to herbarium specimens for destructive sampling. This work was support by a grant from the National Science Foundation (DEB-1457748).
Veriti Thermal Cycler | Applied Biosystems | 4452300 | 96 well |
Gel Imaging System | Azure Biosystems | c300 | |
Microfuge 20 Series | Beckman Coulter | B30137 | |
Digital Dry Bath | Benchmark Scientific | BSH1001 | |
Electrophoresis System | EasyCast | B2 | |
PURELAB flex 2 (Ultra pure water) | ELGA | 89204-092 | |
DNA LoBind Tube | Eppendorf | 30108078 | 2 ml |
Mini centrifuge | Fisher Scientific | 12-006-901 | |
Vortex-Genie 2 | Fisher Scientific | 12-812 | |
Mortar | Fisher Scientific | S02591 | porcelain |
Pestle | fisher Scientific | S02595 | porcelain |
Centrifuge tubes | fisher Scientific | 21-403-161 | |
Microwave | Kenmore | 405.7309231 | |
Qubit Assay Tubes | Invitrogen | Q32856 | |
0.2 ml Strip tube and Cap for PCR | VWR | 20170-004 | |
Qubit 2.0 Fluorometer | Invitrogen | Q32866 | |
Balance | Mettler Toledo | PM2000 | |
Liquid Nitrogen Short-term Storage | Nalgene | F9401 | |
Magnetic-Ring Stand | ThermoFisher Scientific | AM10050 | 96 well |
Water Bath | VWR | 89032-210 | |
Hot Plate Stirrers | VWR | 97042-754 | |
Liquid Nitrogen | Airgas | UN1977 | |
1 X TE Buffer | Ambion | AM9849 | pH 8.0 |
CTAB | AMRESCO | 0833-500G | |
2-MERCAPTOETHANOL | AMRESCO | 0482-200ML | |
Ribonuclease A | AMRESCO | E866-5ML | 10 mg/ml solution |
Agencourt AMPure XP | Beckman Coulter | A63882 | |
Sodium Chloride | bio WORLD | 705744 | |
Isopropyl Alcohol | bio WORLD | 40970004-1 | |
Nuclease Free water | bio WORLD | 42300012-2 | |
Isoamyl Alcohol | Fisher Scientific | A393-500 | |
Sodium Acetate Trihydrate | Fisher Scientific | s608-500 | |
LE Agarose | GeneMate | E-3120-500 | |
100bp PLUS DNA Ladder | Gold Biotechnology | D003-500 | |
EDTA, Disodium Salt | IBI Scientific | IB70182 | |
Qubit dsDNA HS Assay Kit | Life Technologies | Q32854 | |
TRIS | MP Biomedicals | 103133 | ultra pure |
Gel Loading Dye Purple (6 X) | New England BioLabs | B7024S | |
NEBNext dsDNA Fragmentase | New England BioLabs | M0348L | |
NEBNext Ultra II DNA Library Prep Kit for Illumina | New England BioLabs | E7645L | |
NEBNext Multiplex Oligos for Illumina | New England BioLabs | E7600S | Dual Index Primers Set 1 |
NEBNext Q5 Hot Start HiFi PCR Master Mix | New England BioLabs | M0543L | |
Mag-Bind RXNPure Plus | Omega bio-tek | M1386-02 | |
GelRed 10000 X | Pheonix Research | 41003-1 | |
Phenol solution | SIGMA Life Science | P4557-400ml | |
PVP40 | SIGMA-Aldrich | PVP40-50G | |
Chloroform | VWR | EM8.22265.2500 | |
Ethanol | Koptec | V1016 | 200 Proof |
Silica sand | VWR | 14808-60-7 | |
Reamplification primers | Integrated DNA Technologies | see text | |
Sequencher v.5.0.1 | GeneCodes |