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Table 1 Summary of GWAS analyses of L. reuteri rodent adaptation genes. The rows show experimentally verified L. reuteri adaptation genes and columns all tested mGWAS tools. There are three measures of success that were chosen: Benjamini–Hochberg method, Bonferroni adjustment and rank in the sorted results. The pipe symbol (✔) indicates that the genes were identified as significant

From: aurora: a machine learning gwas tool for analyzing microbial habitat adaptation

Colonization factor

Measure

Scoarya

Fixed effects

Linear mixed effects

Elastic netb

Simultaneous

Subsequent

Synchronous

PhyC

aurora

ure operon

Benjamini-Hochberg

✔

✔

X

NA

X

✔

✔

X

NA

Bonferroni

✔

✔

X

NA

X

✔

✔

X

NA

Rank

1324.5

14.5

34.5

10.5

28.5

10.5

29.5

NaN

9.5

Serine-Rich Repeat Protein (SRRP)

Benjamini-Hochberg

✔

✔

X

NA

X

✔

X

X

NA

Bonferroni

✔

✔

X

NA

X

✔

X

X

NA

Rank

285

4

513

17

140.5

16

246

3016

18

SecA2-SecY2 pathway

Benjamini-Hochberg

✔

✔

X

NA

X

X

X

X

NA

Bonferroni

✔

✔

X

NA

X

X

X

X

NA

Rank

1504.5

133.5

3086.5

41

4877

52.5

2642.5

NaN

32.5

Glutaminase (glsA_1)

Benjamini-Hochberg

✔

X

X

NA

X

X

✔

X

NA

Bonferroni

✔

X

X

NA

X

X

✔

X

NA

Rank

2143.5

1994.5

685

143.5

140.5

74.5

64

301

41.5

  1. NA the tool does not compute p-values; NaN the gene was not in the results produced by the tool
  2. aGenes were sorted based on empirical p-value
  3. bGenes were sorted based on filter p-value