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Table 1 The comparison of performance of four different random priming amplification methods to recover RNA viral genetic material of SARS-CoV-2 genome. SARS-CoV-2 was quantified by plaque assay titration on Vero E6 cells (pfu/ml) and qRT-PCR (CT value). For metagenomics, three independent methods were used to detect the presence of the virus in the samples. Kraken, each read was inspected using Kraken and its database to build a report containing the possible organisms the sequences originated from and the number of reads supporting their presence. Blast, if the contig assembled by SPAdes using inhouse pipeline was larger than 150 bases, a random 100 bp segment of that contig was sampled. These samples were aligned with BLAST to the nt-database. The final method, Align is the alignment of sequencing reads to customised reference database

From: A random priming amplification method for whole genome sequencing of SARS-CoV-2 virus

Amplification method

Virus titre (pfu/mL)

CT value

Total number of sequencing eads

BWAa-MEM aligned to SARS-CoV-2 genome

The percentage of reads mapped to SARS- CoV-2 out of total number of reads (%)

The percentage of SARS-CoV-2 genome covered

The average depth of coverage per base

Standard deviation (SD)

The number of unmapped reads to SARS-CoV-2 virus genome

Kraken

Blast

Align

1

2.6 × 106

12.22

1,399,928

4502

0.32

97.68

29.10

23.8

1,395,426

N

Y

Y

H-P

2.6 × 105

15.99

1,120,143

1757

0.16

93.99

10.22

12.76

1,118,386

N

Y

Y

2.6 × 104

18.99

1,535,429

1729

0.11

72.79

8.62

24.28

1,533,700

N

Y

Y

2.6 × 103

22.4

635,446

142

0.02

27.22

0.74

1.66

635,304

N

N

N

2.6 × 102

25.34

1,100,547

794

0.07

48.81

4.82

8.91

1,099,753

N

N

N

26

29.34

966,273

45

0

10.22

0.27

0.97

966,228

N

N

N

2.6

32.36

973,044

3

0

0.75

0.01

0.14

973,041

N

N

N

0

35.04

739,156

1

0

0.12

0.00

0.03

739,155

N

N

N

2

2.6 × 106

12.22

1,414,247

10,798

0.76

99.36

72.83

68.41

1,403,449

Y

Y

Y

K-P

2.6 × 105

15.99

1,137,392

6183

0.54

98.06

40.41

54.51

1,131,209

Y

Y

Y

2.6 × 104

18.99

1,307,167

4073

0.31

96.43

24.11

29.18

1,303,094

N

Y

Y

2.6 × 103

22.4

1,452,489

3391

0.23

91.19

21.16

46.71

1,449,098

N

Y

Y

2.6 × 102

25.34

1,313,739

827

0.06

67.8

4.91

10.02

1,312,912

N

Y

Y

26

29.34

779,997

484

0.06

38.92

2.32

5.40

779,513

N

N

Y

2.6

32.36

621,358

8

0

2.42

0.04

0.25

621,350

N

N

N

0

35.04

579,159

8

0

0.47

0.01

0.20

579,151

N

N

N

3

2.6 × 106

12.22

3,760,214

1,780,362

47.35

100

13,486

15,324

1,979,852

Y

Y

Y

SISPA

2.6 × 105

15.99

1,318,547

825,545

62.61

100

5620

7583

493,002

Y

Y

Y

2.6 × 104

18.99

1,074,343

502,065

46.73

100

3716

4323

572,278

Y

Y

Y

2.6 × 103

22.4

320,287

86,097

26.88

100

628

809

234,190

Y

Y

Y

2.6 × 102

25.34

62,371

6666

10.69

84.36

44.85

86.80

55,705

N

Y

Y

26

29.34

54,312

438

0.81

23.63

2.88

10.34

53,874

N

Y

Y

2.6

32.36

28,572

53

0.19

16.19

0.28

0.7

28,519

N

N

N

0

35.04

1,251,455

177

0.01

19

1.00

2.12

1,251,278

N

N

N

4

2.6 × 106

12.22

880,977

130,315

14.79

100

835

1334

750,662

Y

Y

Y

S-P

2.6 × 105

15.99

688,161

109,020

13.76

100

705

1020

579,141

Y

Y

Y

2.6 × 104

18.99

1,175,085

105,719

9.00

100

668

973

1,069,366

Y

Y

Y

2.6 × 103

22.4

80,352

6901

8.59

100

43.84

58.94

73,451

N

Y

Y

2.6 × 102

25.34

344,436

9026

2.62

89.22

56.69

73.17

335,410

N

Y

Y

26

29.34

105,886

384

0.36

14.28

2.22

9.71

105,502

N

Y

Y

2.6

32.36

151,936

41

0.03

9.17

0.21

0.76

151,895

N

N

N

0

35.04

734,944

18

0

4.52

0

0.48

734,926

N

N

N

  1. aBurrow-Wheeler Aligner