Version for device: MinION
Overview of the protocol
The PCR tiling of SARS-CoV-2 virus with Rapid Barcoding Kit 96 V14 and Midnight RT PCR Expansion (SQK-RBK114.96 and EXP-MRT001) protocol is an updated version of the PCR tiling of SARS-CoV-2 virus with rapid barcoding and Midnight RT PCR Expansion (SQK-RBK110.96 and EXP-MRT001) using our most recent Kit 14 chemistry and an updated downstream analysis.
To enable support for the rapidly expanding user requests, the team at Oxford Nanopore Technologies have put together an updated workflow based on the ARTIC Network protocols and analysis methods. The protocol uses Oxford Nanopore Technologies' Rapid Barcoding Kit 96 V14 (SQK-RBK114.96) and Midnight RT PCR Expansion (EXP-MRT001) for barcoding and library preparation.
While this protocol is available in the Nanopore Community, we kindly ask users to ensure they are citing the members of the ARTIC network who have been behind the development of these methods.
This protocol is similar to the ARTIC amplicon sequencing protocol for MinION for SARS-CoV-2 v3 (LoCost) by Josh Quick and the method used in Freed et al., 2020. The protocol generates amplicons in a tiled fashion across the whole SARS-CoV-2 genome.
To generate tiled PCR amplicons from the SARS-CoV-2 viral cDNA for use with the Rapid Barcoding Kit 96 V14 (SQK-RBK114.96), primers were designed by Freed et al., 2020 using Primal Scheme. These primers are in the Midnight RT PCR Expansion (EXP-MRT001) and are designed to generate 1.2 kb amplicons. Primer sequences can be found here.
As mutations in SARS-CoV-2 variants emerge amplicon drop out may be observed; for users wishing to design their own primer spike-ins to address this we suggest adding to the appropriate primer pool at a final concentration between 3.33 µM and 6.66 µM.
Steps in the sequencing workflow:
Prepare for your experiment
you will need to:
Prepare your library
You will need to:
Sequencing and analysis
You will need to:
This protocol outlines how to carry out PCR tiling of SARS-CoV-2 viral RNA samples on a 96-well plate using the Rapid Barcoding Kit 96 V14 (SQK-RBK114.96) with the Midnight RT PCR Expansion (EXP-MRT001).
It is required to use total RNA extracted from samples that have been screened by a suitable qPCR assay.
When processing multiple samples at once, we recommend making master mixes with an additional 10% of the volume. We also recommend using a template-free pre-PCR hood for making up the master mixes, and a separate template pre-PCR hood for handling the samples. It is important to clean and/or UV irradiate these hoods between sample batches. Furthermore, to track and monitor cross-contamination events, it is important to run a negative control reaction at the reverse transcription stage using nuclease-free water instead of sample, and carrying this control through the rest of the prep.
All post-PCR procedures must be carried out in a separate area to the pre-PCR preparation, with dedicated equipment for liquid handling in each area.
This protocol should only be used in combination with:
Name | Acronym | Cap colour | No. of vials | Fill volume per vial (µl) |
---|---|---|---|---|
Rapid Adapter | RA | Green | 2 | 15 |
Adapter Buffer | ADB | Clear | 1 | 100 |
AMPure XP Beads | AXP | Amber | 3 | 1,200 |
Elution Buffer | EB | Black | 1 | 1,500 |
Sequencing Buffer | SB | Red | 1 | 1,700 |
Library Beads | LIB | Pink | 1 | 1,800 |
Library Solution | LIS | White cap, pink label | 1 | 1,800 |
Flow Cell Flush | FCF | Clear | 1 | 15,500 |
Flow Cell Tether | FCT | Purple | 2 | 200 |
Rapid Barcodes | RB01-96 | - | 3 plates | 8 µl per well |
This Product Contains AMPure XP Reagent Manufactured by Beckman Coulter, Inc. and can be stored at -20°C with the kit without detriment to reagent stability.
Name | Acronym | Cap colour | Number of vials | Fill volume per vial (µl) |
---|---|---|---|---|
LunaScript RT SuperMix | LS RT | Blue | 3 | 500 |
Q5 HS Master Mix | Q5 | Orange | 6 | 1,500 |
Midnight Primer Pool A | MP A | White | 3 | 15 |
Midnight Primer Pool B | MP B | Clear | 3 | 15 |
As mutations in SARS-CoV-2 variants emerge amplicon drop out may be observed; for users wishing to design their own primer spike-ins to address this we suggest adding to the appropriate primer pool at a final concentration between 3.33 µM and 6.66 µM.
Below are the sequences for the V3 primer scheme used in the Midnight RT PCR Expansion.
Primer name | Primer Sequence |
---|---|
SARSCoV_1200_1_LEFT |
ACCAACCAACTTTCGATCTCTTGT |
SARSCoV_1200_1_RIGHT |
GGTTGCATTCATTTGGTGACGC |
SARSCoV_1200_3_LEFT |
GGCTTGAAGAGAAGTTTAAGGAAGGT |
SARSCoV_1200_3_RIGHT |
GATTGTCCTCACTGCCGTCTTG |
SARSCoV_1200_5_LEFT |
ACCTACTAAAAAGGCTGGTGGC |
SARSCoV_1200_5_RIGHT |
AGCATCTTGTAGAGCAGGTGGA |
SARSCoV_1200_7_LEFT |
ACCTGGTGTATACGTTGTCTTTGG |
SARSCoV_1200_7_RIGHT |
GCTGAAATCGGGGCCATTTGTA |
SARSCoV_1200_9_LEFT |
AGAAGTTACTGGCGATAGTTGTAATAACT |
SARSCoV_1200_9_RIGHT |
TGCTGATATGTCCAAAGCACCA |
SARSCoV_1200_11_LEFT |
AGACACCTAAGTATAAGTTTGTTCGCA |
SARSCoV_1200_11_RIGHT |
GCCCACATGGAAATGGCTTGAT |
SARSCoV_1200_13_LEFT |
ACCTCTTACAACAGCAGCCAAAC |
SARSCoV_1200_13_RIGHT |
CGTCCTTTTCTTGGAAGCGACA |
SARSCoV_1200_15_LEFT |
TTTTAAGGAATTACTTGTGTATGCTGCT |
SARSCoV_1200_15_RIGHT |
ACACACAACAGCATCGTCAGAG |
SARSCoV_1200_17_LEFT |
TCAAGCTTTTTGCAGCAGAAACG |
SARSCoV_1200_17_RIGHT |
CCAAGCAGGGTTACGTGTAAGG |
SARSCoV_1200_19_LEFT |
GGCACATGGCTTTGAGTTGACA |
SARSCoV_1200_19_RIGHT |
CCTGTTGTCCATCAAAGTGTCCC |
SARSCoV_1200_21_LEFT |
TCTGTAGTTTCTAAGGTTGTCAAAGTGA |
SARSCoV_1200_21_RIGHT |
GCAGGGGGTAATTGAGTTCTGG |
21_right_spike |
GTGTATGATTGAGTTCTGGTTGTAAG |
SARSCoV_1200_23_LEFT |
ACTTTAGAGTCCAACCAACAGAATCT |
23_left_spike |
ACTTTAGAGTTCAACCAACAGAATCT |
SARSCoV_1200_23_RIGHT |
TGACTAGCTACACTACGTGCCC |
SARSCoV_1200_25_LEFT |
TGCTGCTACTAAAATGTCAGAGTGT |
SARSCoV_1200_25_RIGHT |
CATTTCCAGCAAAGCCAAAGCC |
SARSCoV_1200_27_LEFT |
TGGATCACCGGTGGAATTGCTA |
SARSCoV_1200_27_RIGHT |
TGTTCGTTTAGGCGTGACAAGT |
SARSCoV_1200_29_LEFT |
TGAGGGAGCCTTGAATACACCA |
SARSCoV_1200_29_RIGHT |
TAGGCAGCTCTCCCTAGCATTG |
Primer name | Primer sequences |
---|---|
SARSCoV_1200_2_LEFT |
CCATAATCAAGACTATTCAACCAAGGGT |
SARSCoV_1200_2_RIGHT |
ACAGGTGACAATTTGTCCACCG |
SARSCoV_1200_4_LEFT |
GGAATTTGGTGCCACTTCTGCT |
SARSCoV_1200_4_RIGHT |
CCTGACCCGGGTAAGTGGTTAT |
SARSCoV_1200_6_LEFT |
ACTTCTATTAAATGGGCAGATAACAACTG |
SARSCoV_1200_6_RIGHT |
GATTATCCATTCCCTGCGCGTC |
SARSCoV_1200_8_LEFT |
CAATCATGCAATTGTTTTTCAGCTATTTTG |
SARSCoV_1200_8_RIGHT |
TGACTTTTTGCTACCTGCGCAT |
SARSCoV_1200_10_LEFT |
TTTACCAGGAGTTTTCTGTGGTGT |
SARSCoV_1200_10_RIGHT |
TGGGCCTCATAGCACATTGGTA |
SARSCoV_1200_12_LEFT |
ATGGTGCTAGGAGAGTGTGGAC |
SARSCoV_1200_12_RIGHT |
GGATTTCCCACAATGCTGATGC |
SARSCoV_1200_14_LEFT |
ACAGGCACTAGTACTGATGTCGT |
SARSCoV_1200_14_RIGHT |
GTGCAGCTACTGAAAAGCACGT |
SARSCoV_1200_16_LEFT |
ACAACACAGACTTTATGAGTGTCTCT |
SARSCoV_1200_16_RIGHT |
CTCTGTCAGACAGCACTTCACG |
SARSCoV_1200_18_LEFT |
GCACATAAAGACAAATCAGCTCAATGC |
SARSCoV_1200_18_RIGHT |
TGTCTGAAGCAGTGGAAAAGCA |
SARSCoV_1200_20_LEFT |
ACAATTTGATACTTATAACCTCTGGAACAC |
SARSCoV_1200_20_RIGHT |
GATTAGGCATAGCAACACCCGG |
SARSCoV_1200_22_LEFT |
GTGATGTTCTTGTTAACAACTAAACGAACA |
SARSCoV_1200_22_RIGHT |
AACAGATGCAAATCTGGTGGCG |
22_right_spike |
AACAGATGCAAATTTGGTGGCG |
SARSCoV_1200_24_LEFT |
GCTGAACATGTCAACAACTCATATGA |
24_left_spike |
GCTGAATATGTCAACAACTCATATGA |
SARSCoV_1200_24_RIGHT |
ATGAGGTGCTGACTGAGGGAAG |
SARSCoV_1200_26_LEFT |
GCCTTGAAGCCCCTTTTCTCTA |
SARSCoV_1200_26_RIGHT |
AATGACCACATGGAACGCGTAC |
SARSCoV_1200_28_LEFT |
TTTGTGCTTTTTAGCCTTTCTGCT |
SARSCoV_1200_28_RIGHT |
GTTTGGCCTTGTTGTTGTTGGC |
SARSCoV_1200_28_LEFT_27837T |
TTTGTGCTTTTTAGCCTTTCTGTT |
Component | Sequence |
---|---|
RB01 | AAGAAAGTTGTCGGTGTCTTTGTG |
RB02 | TCGATTCCGTTTGTAGTCGTCTGT |
RB03 | GAGTCTTGTGTCCCAGTTACCAGG |
RB04 | TTCGGATTCTATCGTGTTTCCCTA |
RB05 | CTTGTCCAGGGTTTGTGTAACCTT |
RB06 | TTCTCGCAAAGGCAGAAAGTAGTC |
RB07 | GTGTTACCGTGGGAATGAATCCTT |
RB08 | TTCAGGGAACAAACCAAGTTACGT |
RB09 | AACTAGGCACAGCGAGTCTTGGTT |
RB10 | AAGCGTTGAAACCTTTGTCCTCTC |
RB11 | GTTTCATCTATCGGAGGGAATGGA |
RB12 | CAGGTAGAAAGAAGCAGAATCGGA |
RB13 | AGAACGACTTCCATACTCGTGTGA |
RB14 | AACGAGTCTCTTGGGACCCATAGA |
RB15 | AGGTCTACCTCGCTAACACCACTG |
RB16 | CGTCAACTGACAGTGGTTCGTACT |
RB17 | ACCCTCCAGGAAAGTACCTCTGAT |
RB18 | CCAAACCCAACAACCTAGATAGGC |
RB19 | GTTCCTCGTGCAGTGTCAAGAGAT |
RB20 | TTGCGTCCTGTTACGAGAACTCAT |
RB21 | GAGCCTCTCATTGTCCGTTCTCTA |
RB22 | ACCACTGCCATGTATCAAAGTACG |
RB23 | CTTACTACCCAGTGAACCTCCTCG |
RB24 | GCATAGTTCTGCATGATGGGTTAG |
RB25 | GTAAGTTGGGTATGCAACGCAATG |
RB26 | CATACAGCGACTACGCATTCTCAT |
RB27 | CGACGGTTAGATTCACCTCTTACA |
RB28 | TGAAACCTAAGAAGGCACCGTATC |
RB29 | CTAGACACCTTGGGTTGACAGACC |
RB30 | TCAGTGAGGATCTACTTCGACCCA |
RB31 | TGCGTACAGCAATCAGTTACATTG |
RB32 | CCAGTAGAAGTCCGACAACGTCAT |
RB33 | CAGACTTGGTACGGTTGGGTAACT |
RB34 | GGACGAAGAACTCAAGTCAAAGGC |
RB35 | CTACTTACGAAGCTGAGGGACTGC |
RB36 | ATGTCCCAGTTAGAGGAGGAAACA |
RB37 | GCTTGCGATTGATGCTTAGTATCA |
RB38 | ACCACAGGAGGACGATACAGAGAA |
RB39 | CCACAGTGTCAACTAGAGCCTCTC |
RB40 | TAGTTTGGATGACCAAGGATAGCC |
RB41 | GGAGTTCGTCCAGAGAAGTACACG |
RB42 | CTACGTGTAAGGCATACCTGCCAG |
RB43 | CTTTCGTTGTTGACTCGACGGTAG |
RB44 | AGTAGAAAGGGTTCCTTCCCACTC |
RB45 | GATCCAACAGAGATGCCTTCAGTG |
RB46 | GCTGTGTTCCACTTCATTCTCCTG |
RB47 | GTGCAACTTTCCCACAGGTAGTTC |
RB48 | CATCTGGAACGTGGTACACCTGTA |
RB49 | ACTGGTGCAGCTTTGAACATCTAG |
RB50 | ATGGACTTTGGTAACTTCCTGCGT |
RB51 | GTTGAATGAGCCTACTGGGTCCTC |
RB52 | TGAGAGACAAGATTGTTCGTGGAC |
RB53 | AGATTCAGACCGTCTCATGCAAAG |
RB54 | CAAGAGCTTTGACTAAGGAGCATG |
RB55 | TGGAAGATGAGACCCTGATCTACG |
RB56 | TCACTACTCAACAGGTGGCATGAA |
RB57 | GCTAGGTCAATCTCCTTCGGAAGT |
RB58 | CAGGTTACTCCTCCGTGAGTCTGA |
RB59 | TCAATCAAGAAGGGAAAGCAAGGT |
RB60 | CATGTTCAACCAAGGCTTCTATGG |
RB61 | AGAGGGTACTATGTGCCTCAGCAC |
RB62 | CACCCACACTTACTTCAGGACGTA |
RB63 | TTCTGAAGTTCCTGGGTCTTGAAC |
RB64 | GACAGACACCGTTCATCGACTTTC |
RB65 | TTCTCAGTCTTCCTCCAGACAAGG |
RB66 | CCGATCCTTGTGGCTTCTAACTTC |
RB67 | GTTTGTCATACTCGTGTGCTCACC |
RB68 | GAATCTAAGCAAACACGAAGGTGG |
RB69 | TACAGTCCGAGCCTCATGTGATCT |
RB70 | ACCGAGATCCTACGAATGGAGTGT |
RB71 | CCTGGGAGCATCAGGTAGTAACAG |
RB72 | TAGCTGACTGTCTTCCATACCGAC |
RB73 | AAGAAACAGGATGACAGAACCCTC |
RB74 | TACAAGCATCCCAACACTTCCACT |
RB75 | GACCATTGTGATGAACCCTGTTGT |
RB76 | ATGCTTGTTACATCAACCCTGGAC |
RB77 | CGACCTGTTTCTCAGGGATACAAC |
RB78 | AACAACCGAACCTTTGAATCAGAA |
RB79 | TCTCGGAGATAGTTCTCACTGCTG |
RB80 | CGGATGAACATAGGATAGCGATTC |
RB81 | CCTCATCTTGTGAAGTTGTTTCGG |
RB82 | ACGGTATGTCGAGTTCCAGGACTA |
RB83 | TGGCTTGATCTAGGTAAGGTCGAA |
RB84 | GTAGTGGACCTAGAACCTGTGCCA |
RB85 | AACGGAGGAGTTAGTTGGATGATC |
RB86 | AGGTGATCCCAACAAGCGTAAGTA |
RB87 | TACATGCTCCTGTTGTTAGGGAGG |
RB88 | TCTTCTACTACCGATCCGAAGCAG |
RB89 | ACAGCATCAATGTTTGGCTAGTTG |
RB90 | GATGTAGAGGGTACGGTTTGAGGC |
RB91 | GGCTCCATAGGAACTCACGCTACT |
RB92 | TTGTGAGTGGAAAGATACAGGACC |
RB93 | AGTTTCCATCACTTCAGACTTGGG |
RB94 | GATTGTCCTCAAACTGCCACCTAC |
RB95 | CCTGTCTGGAAGAAGAATGGACTT |
RB96 | CTGAACGGTCATAGAGTCCACCAT |
Computer requirements and software
Sequencing on a MinION Mk1B requires a high-spec computer or laptop to keep up with the rate of data acquisition. Read more in the MinION Mk1B IT Requirements document.
The MinION Mk1C contains fully-integrated compute and screen, removing the need for any accessories to generate and analyse nanopore data. Read more in the MinION Mk1C IT requirements document.
The MinKNOW software controls the nanopore sequencing device, collects sequencing data and basecalls in real time. You will be using MinKNOW for every sequencing experiment to sequence, basecall and demultiplex if your samples were barcoded.
For instructions on how to run the MinKNOW software, please refer to the MinKNOW protocol.
The EPI2ME cloud-based platform performs further analysis of basecalled data, for example alignment to the Lambda genome, barcoding, or taxonomic classification. You will use the EPI2ME platform only if you would like further analysis of your data post-basecalling.
For instructions on how to create an EPI2ME account and install the EPI2ME Desktop Agent, please refer to the EPI2ME Platform protocol.
We highly recommend that you check the number of pores in your flow cell prior to starting a sequencing experiment. This should be done within 12 weeks of purchasing for MinION/GridION/PromethION or within four weeks of purchasing Flongle Flow Cells. Oxford Nanopore Technologies will replace any flow cell with fewer than the number of pores in the table below, when the result is reported within two days of performing the flow cell check, and when the storage recommendations have been followed. To do the flow cell check, please follow the instructions in the Flow Cell Check document.
Flow cell | Minimum number of active pores covered by warranty |
---|---|
Flongle Flow Cell | 50 |
MinION/GridION Flow Cell | 800 |
PromethION Flow Cell | 5000 |
Reverse transcription
Depending on the number of samples, fill each well per column as follows:
Plate location | X24 samples | X48 samples | X96 samples |
---|---|---|---|
Columns | 1-3 | 1-6 | 1-12 |
Example for X48 samples:
Step | Temperature | Time | Cycles |
---|---|---|---|
Primer annealing | 25°C | 2 min | 1 |
cDNA synthesis | 55°C | 10 min | 1 |
Heat inactivation | 95°C | 1 min | 1 |
Hold | 4°C | ∞ |
PCR
To generate tiled PCR amplicons from the SARS-CoV-2 viral cDNA, primers were designed by Freed et al., 2020 using Primal Scheme. These primers are designed to generate 1200 bp amplicons that overlap by approximately 20 bp. These primer sequences can be found here.
Volume per sample:
Reagent | Pool A | Pool B |
---|---|---|
Nuclease-free water | 3.7 µl | 3.7 µl |
Midnight Primer Pool A (MP A) | 0.05 µl | - |
Midnight Primer Pool B (MP B) | - | 0.05 µl |
Q5 HS Master Mix (Q5) | 6.25 µl | 6.25 µl |
Total | 10 µl | 10 µl |
For x24 samples:
Reagent | Pool A | Pool B |
---|---|---|
Nuclease-free water | 102 µl | 102 µl |
Midnight Primer Pool A (MP A) | 2 µl | - |
Midnight Primer Pool B (MP B) | - | 2 µl |
Q5 HS Master Mix (Q5) | 172 µl | 172 µl |
Total | 276 µl | 276 µl |
For x48 samples:
Reagent | Pool A | Pool B |
---|---|---|
Nuclease-free water | 203 µl | 203 µl |
Midnight Primer Pool A (MP A) | 3 µl | - |
Midnight Primer Pool B (MP B) | - | 3 µl |
Q5 HS Master Mix (Q5) | 344 µl | 344 µl |
Total | 550 µl | 550 µl |
For x96 samples:
Reagent | Pool A | Pool B |
---|---|---|
Nuclease-free water | 407 µl | 407 µl |
Midnight Primer Pool A (MP A) | 6 µl | - |
Midnight Primer Pool B (MP B) | - | 6 µl |
Q5 HS Master Mix (Q5) | 687 µl | 687 µl |
Total | 1,100 µl | 1,100 µl |
Plate location | X24 samples | X48 samples | X96 samples |
---|---|---|---|
Columns | Pool A: 1-3 Pool B: 4-6 |
Pool A: 1-6 Pool B: 7-12 |
Pool A: 1-12 Pool B: 1-12 |
Note: For X96 samples, Pool A is a separate plate to Pool B.
There should be two PCR reactions per sample.
Example for X48 samples:
We recommend having a negative control and a positive control for every plate of samples.
Step | Temperature | Time | Cycles |
---|---|---|---|
Initial denaturation | 98°C | 30 sec | 1 |
Denaturation Annealing and extension |
98°C 61°C 65°C |
15 sec 2 min 3 min |
35 |
Hold | 4°C | ∞ |
Addition of rapid barcodes
Depending on the number of samples, aliquot into each well of the columns as follows:
Plate location | X24 samples | X48 samples | X96 samples |
---|---|---|---|
Columns | 1-3 | 1-6 | 1-12 |
Depending on the number of samples, Pool B columns will correspond to different Pool A columns.
No. of samples | Pool B column | Corresponding Pool A column |
---|---|---|
X24 | 4 5 6 |
1 2 3 |
X48 | 7 8 9 10 11 12 |
1 2 3 4 5 6 |
X96 | 1 2 3 4 5 6 7 8 9 10 11 12 |
1 2 3 4 5 6 7 8 9 10 11 12 |
Example for X48 samples:
Depending on the number of samples, PCR Pool A will be in each well of the following columns:
Plate location | X24 samples | X48 samples | X96 samples |
---|---|---|---|
Columns | 1-3 | 1-6 | 1-12 |
Example for X48 samples:
Depending on the number of samples, aliquot into each well of the columns as follows:
Plate location | X24 samples | X48 samples | X96 samples |
---|---|---|---|
Columns | 1-3 | 1-6 | 1-12 |
Example for X48 samples:
Pooling samples and clean-up
We expect to have about ~10 µl per sample.
X24 samples | X48 samples | X96 samples | |
---|---|---|---|
Total volume | ~240 µl | ~480 µl | ~960 µl |
Per sample, we expect to take forward ~5 µl.
X24 samples | X48 samples | X96 samples | |
---|---|---|---|
Example volume | 120 µl | 240 µl | 480 µl |
Example volume | X24 samples | X48 samples | X96 samples |
---|---|---|---|
Volume of 1X AXP | 120 µl | 240 µl | 480 µl |
Reagent | Volume |
---|---|
Rapid Adapter (RA) | 1.5 μl |
Adapter Buffer (ADB) | 3.5 μl |
Total | 5 μl |
Priming and loading the SpotON flow cell
We recommend all new users watch the 'Priming and loading your flow cell' video before your first run.
For most sequencing experiments, use the Library Beads (LIB) for loading your library onto the flow cell. However, for viscous libraries it may be difficult to load with the beads and may be appropriate to load using the Library Solution (LIS).
Note: We do not recommend using any other albumin type (e.g. recombinant human serum albumin).
Reagents | Volume per flow cell |
---|---|
Flow Cell Flush (FCF) | 1,170 µl |
Bovine Serum Albumin (BSA) at 50 mg/ml | 5 µl |
Flow Cell Tether (FCT) | 30 µl |
Total volume | 1,205 µl |
This step can be omitted if the flow cell has been checked previously.
See the flow cell check instructions in the MinKNOW protocol for more information.
Note: Visually check that there is continuous buffer from the priming port across the sensor array.
We recommend using the Library Beads (LIB) for most sequencing experiments. However, the Library Solution (LIS) is available for more viscous libraries.
Reagent | Volume per flow cell |
---|---|
Sequencing Buffer (SB) | 37.5 µl |
Library Beads (LIB) mixed immediately before use, or Library Solution (LIS), if using | 25.5 µl |
DNA library | 12 µl |
Total | 75 µl |
We recommend leaving the light shield on the flow cell when library is loaded, including during any washing and reloading steps. The shield can be removed when the library has been removed from the flow cell.
Carefully place the leading edge of the light shield against the clip.
Note: Do not force the light shield underneath the clip.
Gently lower the light shield onto the flow cell. The light shield should sit around the SpotON cover, covering the entire top section of the flow cell.
Data acquisition and basecalling
For a full overview of nanopore data analysis, which includes options for basecalling and post-basecalling analysis, please refer to the Data Analysis document.
The correct barcoding parameters must be set up on MinKNOW prior to the sequencing run. During the run setup, in the Analysis tab:
The sequencing device control, data acquisition and real-time basecalling are carried out by the MinKNOW software. Please ensure MinKNOW is installed on your computer or device. There are multiple options for how to carry out sequencing:
Follow the instructions in the MinKNOW protocol beginning from the "Starting a sequencing run" section until the end of the "Completing a MinKNOW run" section.
Follow the instructions in the GridION user manual.
Follow the instructions in the MinION Mk1C user manual.
Follow the instructions in the PromethION user manual or the PromethION 2 Solo user manual.
Follow the instructions in the MinKNOW protocol beginning from the "Starting a sequencing run" section until the end of the "Completing a MinKNOW run" section. When setting your experiment parameters, set the Basecalling tab to OFF. After the sequencing experiment has completed, follow the instructions in the Post-run analysis section of the MinKNOW protocol.
Downstream analysis
The wf-artic is a bioinformatics workflow for the analysis of ARTIC sequencing data prepared using the Midnight protocol. The bioinformatics workflow is orchestrated by the Nextflow software. Nextflow is a publicly available and open-source project that enables the execution of scientific workflows in a scalable and reproducible way. The use of the Nextflow software has been integrated into the EPI2ME Labs software that we recommend for running our downstream analysis methods.
Alternative methods for downstream analysis are available using your device terminal or command line, however we only suggest this for experienced users.
Demultiplexed sequence reads are processed using the ARTIC Field Bioinformatics software that has been modified for the analysis of FASTQ sequences prepared using Oxford Nanopore Rapid Sequencing kits. The other modification to the ARTIC workflow is the use of a primer scheme that defines the sequencing primers used by the Midnight protocol and their genomic locations on the SARS-CoV-2 genome.
The wf-artic workflow includes other analytical steps that include cladistic analysis using Nextclade and strain assignment using Pangolin. The data facets included in the report are parameterised and additional information such as plots of depth-of-coverage across the reference genome is optional.
The complete source for wf-artic is linked, and the Nextflow software will download the scripts and logic flow from this location.
The wf-artic workflow needs to be started manually as outlined below in 'Running a Midnight analysis using EPI2ME Labs'.
The EPI2ME application provides a clean interface to accessing bioinformatics workflows, and is our recommended method in performing your post-sequencing analysis.
Follow the instructions in the EPI2ME Installation guide to install the application on your device.
For more information on how to use EPI2ME, refer to the EPI2ME Quick Start guide.
Ensure you have installed the wf-artic workflow prior to the first analysis set-up.
In the EPI2ME Labs home page, scroll down to the "Install workflows" section and click on epi2me-labs/wf-artic:
If you have already installed the wf-artic workflow, ensure you are using the latest version.
Updating the workflow can be done directly through EPI2ME Labs by navigating to the wf-artic workflow page and clicking Update Workflow:
The wf-artic analysis requires FASTQ sequence data that has already been demultiplexed.
Reads will be demultiplexed during sequencing if you are following the recommended "Required settings in MinKNOW". However, demultiplexing can also be done post-sequencing using the MinKNOW software.
For more information and guides on demultiplexing using MinKNOW, refer to the "Post-run analysis" section in our MinKNOW Protocol.
The expected input for wf-artic is a folder of folders as shown below. Each of the barcode folders should contain the FASTQ sequence data and files may either be uncompressed or gzipped.
$ tree -d MidnightFastq/
MidnightFastq/
├── barcode01
├── barcode02
├── barcode03
├── barcode04
├── barcode05
├── barcode06
└── unclassified
The basecalling model should be specified when setting up the wf-artic analysis. This should reflect the basecalling model selected during your run set-up as follows:
Select your data input file location. Please note, this folder must contain the demultiplexed FASTQ files of your sequencing run.
Expand the Primer Scheme Selection tab and set the Scheme version to Midnight-ONT/V3.
Expand the Advanced Options tab and set the Medaka model to the basecalling model used in your sequencing run.
Expand the Extra configuration tab and set the Run name for your wf-artic analysis.
Click Launch workflow at the bottom of the page to begin your analysis.
The wf-artic analysis outputs will be written to the Working Directory folder specified in the EPI2ME Labs Settings tab.
The location of this folder is specified in the wf-artic run Instance parameters preceeded by out_dir
.
However, these files can also be accessed directly in the EPI2ME Labs application from the completed analysis page for your run:
These outputs include:
all_consensus.fasta
A multi-FASTA format sequence file containing the consensus sequence for each of the samples investigated. This consensus sequence has been prepared for the whole SARS-CoV-2 genome, not just the spike protein region. The consensus sequence masks the non-spike regions and regions of low sequence coverage with N residues.
all_variants.vcf.gz
A gzipped VCF file that describes all high-quality genetic variants called by medaka from the sequenced samples.
all_variants.vcf.gz.tbi
An index file for the gzipped VCF file.
consensus_status.txt
A tab delimited file that reports whether a consensus sequence has been successfully prepared for a sample, or not.
wf-artic-report.html
A report summarising these data. This HTML format report also includes the output of the Nextclade software that can be used for a visual inspection of, for example, primer drop out or other qualitative consensus sequence aspects.
Other files are included in the work-directory
. This includes per sample VCF files of all genetic variants prior to filtering and other sequences.
The "Working Directory" can be specified in the EPI2ME Labs "Settings" tab and defines where the workflow intermediate files and outputs are stored.
This folder will accumulate a significant number of files that correspond to raw BAM files, other larger intermediates and analysis results files. We recommend this folder to be routinely cleared.
Flow cell reuse and returns
The Flow Cell Wash Kit protocol is available on the Nanopore Community.
Instructions for returning flow cells can be found here.
Note: All flow cells must be flushed with deionised water before returning the product.
Issues during DNA/RNA extraction and library preparation
We also have an FAQ section available on the Nanopore Community Support section.
If you have tried our suggested solutions and the issue still persists, please contact Technical Support via email (support@nanoporetech.com) or via LiveChat in the Nanopore Community.
Observation | Possible cause | Comments and actions |
---|---|---|
Low DNA purity (Nanodrop reading for DNA OD 260/280 is <1.8 and OD 260/230 is <2.0–2.2) | The DNA extraction method does not provide the required purity | The effects of contaminants are shown in the Contaminants document. Please try an alternative extraction method that does not result in contaminant carryover. Consider performing an additional SPRI clean-up step. |
Low RNA integrity (RNA integrity number <9.5 RIN, or the rRNA band is shown as a smear on the gel) | The RNA degraded during extraction | Try a different RNA extraction method. For more info on RIN, please see the RNA Integrity Number document. Further information can be found in the DNA/RNA Handling page. |
RNA has a shorter than expected fragment length | The RNA degraded during extraction | Try a different RNA extraction method. For more info on RIN, please see the RNA Integrity Number document. Further information can be found in the DNA/RNA Handling page. We recommend working in an RNase-free environment, and to keep your lab equipment RNase-free when working with RNA. |
Observation | Possible cause | Comments and actions |
---|---|---|
Low recovery | DNA loss due to a lower than intended AMPure beads-to-sample ratio | 1. AMPure beads settle quickly, so ensure they are well resuspended before adding them to the sample. 2. When the AMPure beads-to-sample ratio is lower than 0.4:1, DNA fragments of any size will be lost during the clean-up. |
Low recovery | DNA fragments are shorter than expected | The lower the AMPure beads-to-sample ratio, the more stringent the selection against short fragments. Please always determine the input DNA length on an agarose gel (or other gel electrophoresis methods) and then calculate the appropriate amount of AMPure beads to use. |
Low recovery after end-prep | The wash step used ethanol <70% | DNA will be eluted from the beads when using ethanol <70%. Make sure to use the correct percentage. |
Issues during the sequencing run
We also have an FAQ section available on the Nanopore Community Support section.
If you have tried our suggested solutions and the issue still persists, please contact Technical Support via email (support@nanoporetech.com) or via LiveChat in the Nanopore Community.
Observation | Possible cause | Comments and actions |
---|---|---|
MinKNOW reported a lower number of pores at the start of sequencing than the number reported by the Flow Cell Check | An air bubble was introduced into the nanopore array | After the Flow Cell Check it is essential to remove any air bubbles near the priming port before priming the flow cell. If not removed, the air bubble can travel to the nanopore array and irreversibly damage the nanopores that have been exposed to air. The best practice to prevent this from happening is demonstrated in this video. |
MinKNOW reported a lower number of pores at the start of sequencing than the number reported by the Flow Cell Check | The flow cell is not correctly inserted into the device | Stop the sequencing run, remove the flow cell from the sequencing device and insert it again, checking that the flow cell is firmly seated in the device and that it has reached the target temperature. If applicable, try a different position on the device (GridION/PromethION). |
MinKNOW reported a lower number of pores at the start of sequencing than the number reported by the Flow Cell Check | Contaminations in the library damaged or blocked the pores | The pore count during the Flow Cell Check is performed using the QC DNA molecules present in the flow cell storage buffer. At the start of sequencing, the library itself is used to estimate the number of active pores. Because of this, variability of about 10% in the number of pores is expected. A significantly lower pore count reported at the start of sequencing can be due to contaminants in the library that have damaged the membranes or blocked the pores. Alternative DNA/RNA extraction or purification methods may be needed to improve the purity of the input material. The effects of contaminants are shown in the Contaminants Know-how piece. Please try an alternative extraction method that does not result in contaminant carryover. |
Observation | Possible cause | Comments and actions |
---|---|---|
MinKNOW shows "Script failed" | Restart the computer and then restart MinKNOW. If the issue persists, please collect the MinKNOW log files and contact Technical Support. If you do not have another sequencing device available, we recommend storing the flow cell and the loaded library at 4°C and contact Technical Support for further storage guidance. |
Observation | Possible cause | Comments and actions |
---|---|---|
Pore occupancy <40% | Not enough library was loaded on the flow cell | Ensure you load the recommended amount of good quality library in the relevant library prep protocol onto your flow cell. Please quantify the library before loading and calculate mols using tools like the Promega Biomath Calculator, choosing "dsDNA: µg to pmol" |
Pore occupancy close to 0 | The Ligation Sequencing Kit was used, and sequencing adapters did not ligate to the DNA | Make sure to use the NEBNext Quick Ligation Module (E6056) and Oxford Nanopore Technologies Ligation Buffer (LNB, provided in the sequencing kit) at the sequencing adapter ligation step, and use the correct amount of each reagent. A Lambda control library can be prepared to test the integrity of the third-party reagents. |
Pore occupancy close to 0 | The Ligation Sequencing Kit was used, and ethanol was used instead of LFB or SFB at the wash step after sequencing adapter ligation | Ethanol can denature the motor protein on the sequencing adapters. Make sure the LFB or SFB buffer was used after ligation of sequencing adapters. |
Pore occupancy close to 0 | No tether on the flow cell | Tethers are adding during flow cell priming (FLT/FCT tube). Make sure FLT/FCT was added to FB/FCF before priming. |
Observation | Possible cause | Comments and actions |
---|---|---|
Shorter than expected read length | Unwanted fragmentation of DNA sample | Read length reflects input DNA fragment length. Input DNA can be fragmented during extraction and library prep. 1. Please review the Extraction Methods in the Nanopore Community for best practice for extraction. 2. Visualise the input DNA fragment length distribution on an agarose gel before proceeding to the library prep. In the image above, Sample 1 is of high molecular weight, whereas Sample 2 has been fragmented. 3. During library prep, avoid pipetting and vortexing when mixing reagents. Flicking or inverting the tube is sufficient. |
Observation | Possible cause | Comments and actions |
---|---|---|
Large proportion of unavailable pores (shown as blue in the channels panel and pore activity plot) The pore activity plot above shows an increasing proportion of "unavailable" pores over time. |
Contaminants are present in the sample | Some contaminants can be cleared from the pores by the unblocking function built into MinKNOW. If this is successful, the pore status will change to "sequencing pore". If the portion of unavailable pores stays large or increases: 1. A nuclease flush using the Flow Cell Wash Kit (EXP-WSH004) can be performed, or 2. Run several cycles of PCR to try and dilute any contaminants that may be causing problems. |
Observation | Possible cause | Comments and actions |
---|---|---|
Large proportion of inactive/unavailable pores (shown as light blue in the channels panel and pore activity plot. Pores or membranes are irreversibly damaged) | Air bubbles have been introduced into the flow cell | Air bubbles introduced through flow cell priming and library loading can irreversibly damage the pores. Watch the Priming and loading your flow cell video for best practice |
Large proportion of inactive/unavailable pores | Certain compounds co-purified with DNA | Known compounds, include polysaccharides, typically associate with plant genomic DNA. 1. Please refer to the Plant leaf DNA extraction method. 2. Clean-up using the QIAGEN PowerClean Pro kit. 3. Perform a whole genome amplification with the original gDNA sample using the QIAGEN REPLI-g kit. |
Large proportion of inactive/unavailable pores | Contaminants are present in the sample | The effects of contaminants are shown in the Contaminants Know-how piece. Please try an alternative extraction method that does not result in contaminant carryover. |
Observation | Possible cause | Comments and actions |
---|---|---|
Reduction in sequencing speed and q-score later into the run | For Kit 9 chemistry (e.g. SQK-LSK109), fast fuel consumption is typically seen when the flow cell is overloaded with library (please see the appropriate protocol for your DNA library to see the recommendation). | Add more fuel to the flow cell by following the instructions in the MinKNOW protocol. In future experiments, load lower amounts of library to the flow cell. |
Observation | Possible cause | Comments and actions |
---|---|---|
Temperature fluctuation | The flow cell has lost contact with the device | Check that there is a heat pad covering the metal plate on the back of the flow cell. Re-insert the flow cell and press it down to make sure the connector pins are firmly in contact with the device. If the problem persists, please contact Technical Services. |
Observation | Possible cause | Comments and actions |
---|---|---|
MinKNOW shows "Failed to reach target temperature" | The instrument was placed in a location that is colder than normal room temperature, or a location with poor ventilation (which leads to the flow cells overheating) | MinKNOW has a default timeframe for the flow cell to reach the target temperature. Once the timeframe is exceeded, an error message will appear and the sequencing experiment will continue. However, sequencing at an incorrect temperature may lead to a decrease in throughput and lower q-scores. Please adjust the location of the sequencing device to ensure that it is placed at room temperature with good ventilation, then re-start the process in MinKNOW. Please refer to this FAQ for more information on MinION temperature control. |
Observation | Possible cause | Comments and actions |
---|---|---|
No input .fast5 was found or basecalled | input_path did not point to the .fast5 file location | The --input_path has to be followed by the full file path to the .fast5 files to be basecalled, and the location has to be accessible either locally or remotely through SSH. |
No input .fast5 was found or basecalled | The .fast5 files were in a subfolder at the input_path location | To allow Guppy to look into subfolders, add the --recursive flag to the command |
Observation | Possible cause | Comments and actions |
---|---|---|
No Pass or Fail folders were generated after basecalling | The --qscore_filtering flag was not included in the command | The --qscore_filtering flag enables filtering of reads into Pass and Fail folders inside the output folder, based on their strand q-score. When performing live basecalling in MinKNOW, a q-score of 7 (corresponding to a basecall accuracy of ~80%) is used to separate reads into Pass and Fail folders. |
Observation | Possible cause | Comments and actions |
---|---|---|
Unusually slow processing on a GPU computer | The --device flag wasn't included in the command | The --device flag specifies a GPU device to use for accelerate basecalling. If not included in the command, GPU will not be used. GPUs are counted from zero. An example is --device cuda:0 cuda:1, when 2 GPUs are specified to use by the Guppy command. |
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