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Table 2 Predictions of RsmA regulating sRNAs in selected bacterial species

From: Prediction of bacterial small RNAs in the RsmA (CsrA) and ToxT pathways: a machine learning approach

Organism

Flanking genes

Orientation

Predicted 5 end

Predicted 3 end

Probability

Acinetobacter ADP1

ACIAD0018/ACIAD0019

→←←

25035

24917

0.99

 

ACIAD2750/ACIAD2751

←→←

2690560

2690698

0.99

Geobacter sulfurreducens

KN400_0047/KN400_0048

←→←

55576

55646

0.93

 

KN400_1076/phoR

←→←

1156573

1156660

0.99

 

KN400_2615

Antisense

2843134

2843215

0.91

Oceanobacillus iheyensis

OB3267/OB3268

←→←

3404835

3404912

0.95

Pseudomonas putida KT2400

PP_1864/PP_1865

→→→

2085406

2085577

0.96

 

PP_1865/PP_1866

→←←

2087405

2087227

0.96

 

PP_1865/PP_1866

→→←

2087652

2087827

0.85

 

asd/PP_1990

→→→

2256149

2256329

0.97

 

PP_2113/PP2114

→→→

2412827

2413009

0.84

 

PP_2114/PP_2115

→←→

2414845

2414666

0.91

 

PP_2218/PP_2219

→←→

2530804

2530622

0.93

 

PP_3547/PP_3548

←→←

4022257

4022439

0.95

 

PP_3547/PP_3548

←←←

4022850

4022673

0.95

Pseudomonas syringae pv. tomato DC3000

PSPTO_1719/PSPTO_1720

→→←

1889433

1889570

0.83

 

uvrB/PSPTO_2165

→→←

2380918

2381056

0.85

 

PSPTO_2585/amt-2

→→→

2856216

2856355

0.97

 

PSPTO_3273/PSPTO_3274

→←←

3699381

3699244

0.95

 

PSPTO_3490/PSPTO_3491

←←→

3941102

3940967

0.77

 

PSPTO_3490/PSPTO_3491

←←→

3941740

3941605

0.93

 

PSPTO_3491

Antisense

3942111

3941974

0.93

 

fadB/PSPTO_3518

←←→

3970534

3970396

0.97

 

gcd/PSPTO_4197

→←←

4728863

4728726

0.94

 

PSPTO_5182/PSPTO_5183

→←→

5898180

5898085

0.96

Shigella flexneri

S2642/S2643

→→→

2532358

2532472

0.93

Vibrio fischeri ES114

hemB/gpp

→←←

61386

61312

0.83

 

pgi/cheX

→←←

315197

315113

0.91

 

rpsO/pnp

→←→

525909

525838

0.96

 

ydaL/copG

←←←

852728

852653

0.99

 

VF_1096/VF_1097

→←←

1212030

1211908

0.99

  1. Arrows indicate the orientations of the predicted sRNA (center) and the two flanking genes