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Table 1 Summary of sampling locations, sponge features classified according to (i) host nutritional mode (presence or absence of photosymbionts); (ii) microbial symbiont strategy (high or low microbial abundance) and sequencing statistics. N50 values for each dataset were calculated based on evaluation of unfiltered contigs

From: Viral ecogenomics across the Porifera

Host species/replicate

Sampling site1

Hosts photo-symbionts

Microbial abundance

Raw reads* (#)

Contig N50

Contigs (#)

Longest contig (bp)

Predicted genes (#)

Taxonomically assigned genes (%)

Callyspongia sp. 1

GBR

Yes

LMA

11.06

899

23,339

58,159

63,281

23.5

Callyspongia sp. 2

GBR

Yes

LMA

9.36

932

20,309

172,832

56,308

23.6

Callyspongia sp. 3

GBR

Yes

LMA

8.97

810

21,236

69,654

56,363

24.0

C. foliascens 1

GBR

Yes

HMA

4.92

675

33,078

24,096

57,288

13.2

C. foliascens 2

GBR

Yes

HMA

1.78

698

14,225

46,996

25,768

11.0

C. foliascens 3

GBR

Yes

HMA

15.28

624

45,237

23,964

76,516

13.0

C. schulzei 1

GBR

No

HMA

7.95

467

9621

80,905

17,001

14.8

C. schulzei 2

GBR

No

HMA

8.23

571

12,170

81,025

26,002

17.5

C. schulzei 3

GBR

No

HMA

19.59

660

50,864

80,778

95,389

14.4

C. marshae 1

GBR

Yes

HMA

1.53

434

4549

9804

7975

16.2

C. marshae 2

GBR

Yes

HMA

3.75

398

5419

7498

6585

16.6

C. marshae 3

GBR

Yes

HMA

3.12

405

6751

12,455

10,427

16.1

E. isaaci 1

GBR

NA

NA

4.20

566

11,349

31,106

21,794

22.5

E. isaaci 2

GBR

NA

NA

4.50

510

13,898

49,604

28,567

23.3

E. isaaci 3

GBR

NA

NA

1.26

694

4752

42,237

11,022

21.8

I. basta 1

GBR

No

LMA

6.58

504

11,600

60,819

24,285

19.3

I. basta 2

GBR

No

LMA

4.63

495

12,591

39,149

23,850

22.2

I. basta 3

GBR

No

LMA

4.83

552

14,561

36,340

28,801

20.8

L. herbacea 1

GBR

Yes

LMA

7.96

457

11,693

43,955

21,907

20.2

L. herbacea 2

GBR

Yes

LMA

14.88

594

9661

14,898

18,144

19.2

L. herbacea 3

GBR

Yes

LMA

3.02

504

16,931

43,769

30,283

20.2

P. candelabra 1

GBR

NA

NA

12.20

693

35,688

49,806

32,910

15.0

P. candelabra2

GBR

NA

NA

7.74

557

27,010

58,681

48,732

14.4

P. candelabra 3

GBR

NA

NA

5.87

958

13,373

120,555

29,643

18.2

S. carteri 1

GBR

No

LMA

6.34

346

4063

10,851

5709

17.6

S. carteri 2

GBR

No

LMA

4.78

384

7833

16,548

13,143

21.9

A. ochracea 3

Red Sea

Yes

LMA

3.38

720

7706

26,892

18,040

25.6

A. ochracea1

Red Sea

Yes

LMA

14.14

717

29,033

61,876

71,543

23.2

A. ochracea 2

Red Sea

Yes

LMA

2.79

694

7692

20,756

10,981

21.1

C. foliascens 1

Red Sea

Yes

HMA

2.30

1671

2571

35,948

7096

20.7

C. foliascens 2

Red Sea

Yes

HMA

1.64

1135

3913

49,410

10,708

19.7

C. foliascens 3

Red Sea

Yes

HMA

1.82

1280

2787

38,097

7284

21.4

C. cyathophora 1

Red Sea

Yes

LMA

3.19

601

2757

19,321

8636

25.6

C. cyathophora 2

Red Sea

Yes

LMA

3.58

618

2613

39,999

5753

24.9

C. cyathophora 3

Red Sea

Yes

LMA

1.84

614

3977

44,834

7951

21.5

H. erectus 1

Red Sea

No

HMA

18.37

921

6400

7865

17,674

21.8

H. erectus 2

Red Sea

No

HMA

6.04

878

9540

47,148

25,550

23.9

Mycale sp. 1

Red Sea

NA

NA

5.81

949

5396

39,546

13,458

16.1

Mycale sp.2

Red Sea

NA

NA

5.74

705

9562

54,476

22,104

22.7

Mycale sp. 3

Red Sea

NA

NA

5.06

682

6123

22,927

13,601

20.2

N. rowi 1

Red Sea

NA

NA

2.40

668

6058

25,175

13,766

27.5

N. rowi 2

Red Sea

NA

NA

7.35

922

10,017

52,589

27,503

24.0

X. testudinaria 1

Red Sea

Yes

HMA

6.13

881

7533

103,486

20,344

16.2

X. testudinaria 2

Red Sea

Yes

HMA

7.40

729

9639

74,732

23,194

17.1

Sea water—GBR

GBR

NA

NA

21.64

406

11,008

20,625

19,950

22.0

Sea water—RS

Red Sea

NA

NA

9.51

523

10,568

52,589

36,395

35.1

  1. 1GBR sponges were collected from Orpheus Island, Queensland, Australia (18° 35′ 34″ S, 146° 28′ 53″ E) and Red Sea sponges were collected in Al Fahal, Saudi Arabia (22° 13′ 95″ N, 39° 01′ 81″ E)
  2. *Raw read values are presented as million of reads. Taxonomic assignments are based on pairwise sequence similarity to the Viral RefSeq database using MEGAN LCA parameters [30]