Rv0222 Enoyl-CoA hydratase (EC 4.2.1.17)

Summary
Symbol Product Feature Type Start End Strand Length AA Length is TF
Rv0222 echA1 Enoyl-CoA hydratase (EC 4.2.1.17) CDS 265507 266295 + 789 262 FALSE

Rv0222 (Enoyl-CoA hydratase (EC 4.2.1.17)) is predicted to be co-regulated in modules bicluster_0210 with residual 0.48 and bicluster_0225 with residual 0.50.

This regulation is possibly mediated by two de-novo identified cis-regulatory motifs in each module with e-values , 0.02 and 29.00 for bicluster_0210 and 0.00 and 0.00 for bicluster_0225 respectively.

These modules are enriched for following go terms: .

This gene is found to be for growth on cholesterol.

Mutant available?: Yes

Last update: 10/16/2017 - 17:54
BEI Mutant Available BEI Mutant ID BEI MT Number BEI Target ID Order from BEI
Yes NR-18412 MT0232 2218
Product (LegacyBRC) Product (RefSeq)
PROBABLE ENOYL-CoA HYDRATASE ECHA1 [ENOYL HYDRASE] [UNSATURATED ACYL-CoA HYDRATASE] [CROTONASE] enoyl-CoA hydratase
Operon # Operon
153 -
Locus Tuberculist Genome View

Tuberculist

Quickview
Locus Tag KEGG Pathways

KEGG

Fatty acid metabolism

51
Total items in this category:  

KEGG

Valine, leucine and isoleucine degradation

60
Total items in this category:  

KEGG

Geraniol degradation

52
Total items in this category:  

KEGG

Lysine degradation

46
Total items in this category:  

KEGG

Benzoate degradation

48
Total items in this category:  

KEGG

Tryptophan metabolism

47
Total items in this category:  

KEGG

beta-Alanine metabolism

37
Total items in this category:  

KEGG

Aminobenzoate degradation

73
Total items in this category:  

KEGG

Propanoate metabolism

62
Total items in this category:  

KEGG

Butanoate metabolism

63
Total items in this category:  
BioCyc Gene Page Cellular Overview Map
Link to STRING STRING Network

STRING

GI Number Protein ID Blast Conserved Domains
15607363 NP_214736.1 Run
No TFOE experiment results were found
Quantitative Proteomics Data
t-test p-value Cholesterol/Glycerol Ratio
0.560000 4.71

How essentiality calculations were done?

The relative representation of each mutant was determined by calculating the fold change (sequence reads/insertion in cholesterol divided by sequence reads/insertion in glycerol) for each gene. Statistical significance was determined by t-test. Each insertion site in each replicate sample was treated as a separate data point. The hyperbola used for defining genes specifically required for growth in cholesterol was defined by the formula, y = 3.8/x+0.7. Genes above this line are annotated as required for growth on cholesterol.

TRIP log2 fold abundance change

reports the log2 abundance fold change of each TFI strain, relative to no induction, in absence or presence of drug, averaged across experimental replicates. Also reported are the accompanying z-scores and two-sided t-test p-values for each TFI strain under each condition. Please refer to Ma et al., 2020, Nature Microbiology for more information.

p-value Untreated:
p-value INH: