Table 1 Mantel test results comparing data layers generated for the EMP500 samples

From: Standardized multi-omics of Earth’s microbiomes reveals microbial and metabolite diversity

Dataset 1

Dataset 2

n

Spearman rho

P value

LC–MS/MS

GC–MS

401

0.13

0.001

 

Metagenomics (taxa)

454

0.43

0.001

 

Metagenomics (function)

440

0.32

0.001

 

16S

477

0.27

0.001

 

18S

340

0.07

0.2

 

ITS

373

0.07

0.006

 

full-length rRNA operon

181

0.34

0.001

GC–MS

Metagenomics (taxa)

331

0.07

0.002

 

Metagenomics (function)

327

0.11

0.001

 

16S

349

0.22

0.001

 

18S

280

0.08

0.004

 

ITS

269

0.09

0.001

 

full-length rRNA operon

168

0.11

0.001

Metagenomics (taxa)

Metagenomics (function)

564

0.53

0.001

 

16S

538

0.51

0.001

 

18S

363

−0.002

0.9

 

ITS

423

0.16

0.001

 

full-length rRNA operon

235

0.48

0.001

Metagenomics (function)

16S

538

0.58

0.001

 

18S

375

−0.02

0.4

 

ITS

413

0.22

0.001

 

full-length rRNA operon

239

0.55

0.001

16S

18S

414

0.09

0.001

 

ITS

463

0.09

0.001

 

full-length rRNA operon

215

0.51

0.001

18S

ITS

385

−0.05

0.1

 

full-length rRNA operon

173

0.006

0.8

ITS

full-length rRNA operon

171

0.02

0.6

  1. Note the strong relationships between the metabolomics data (that is, LC–MS/MS and GC–MS) and the sequence data from Bacteria and Archaea (that is, shotgun metagenomics, 16S and full-length rRNA operon) as compared to relationships between metabolomics data and sequence data from eukaryotes (that is, 18S and ITS). There are also strong relationships between difference sequence data from Bacteria and Archaea (rho > 0.2 in bolded font; >0.4 in bolded italics; >0.5 additionally underlined).