TB Genome Annotation Portal

Rv0217c (lipW)

Amino Acid Sequence

VSGNEVHPDLRRIAVVTPRQLVGPRTLPVMRALIVVAGLRMSRTPPDIEVLTLESGVGVRLYRPAGSNEPAPALLWIHAGGYVMGTAQQDDRLCLRFSSR
LGITVASVDYRLAPENPYPAALGDCYSALTWLASLPAVDPARVAIGGASAGGGLAAALALLARDRGGITPAFQLLVYPMLDDRPSIAPANPHYRLWNGRA
NRFGWRAYLGDADARVAVPGRRDDLGGLAPAWIGVGTHDLLHDEDLAYAERLTAAGVPCQVEVVEGAFHGFDRVAPNVGVSQRFFTSQCNSLRAALALSN
RT
(Nucleotide sequence available on KEGG)

Additional Information




Analysis of Positive Selection in Clinical Isolates *new*

Moldova (2,057)global set (5,195)
under significant positive selection?NOYES
omega peak height (95%CI lower bound)1.55 (0.35)2.08 (1.13)
codons under selection214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 234, 235, 236, 237, 238, 239
omega plots
genetic variants*linklink
statistics at each codonlinklink
* example format for variants: "D27 (GAC): D27H (CAC,11)" means "Asp27 (native codon GAC) mutated to His (codon CAC) in 11 isolates"


ESSENTIALITY

MtbTnDB - interactive tool for exploring a database of published TnSeq datasets for Mtb

TnSeqCorr - genes with correlated TnSeq profiles across ~100 conditions

Rv0217c/lipW, gene len: 908 bp, num TA sites: 22
conditiondatasetcallmediummethodnotes
in-vitroDeJesus 2017 mBionon-essential7H9HMMfully saturated, 14 TnSeq libraries combined
in-vitroSassetti 2003 Mol Micronon-essential 7H9TRASHessential if hybridization ratio<0.2
in-vivo (mice)Sassetti 2003 PNASnon-essential BL6 miceTRASHessential if hybridization ratio<0.4, min over 4 timepoints (1-8 weeks)
in-vitro (glycerol)Griffin 2011 PPathnon-essentialM9 minimal+glycerolGumbel2 replicates; Padj<0.05
in-vitro (cholesterol)Griffin 2011 PPathnon-essentialM9 minimal+cholesterolGumbel3 replicates; Padj<0.05
differentially essential in cholesterol Griffin 2011 PPathNO (LFC=0.14)cholesterol vs glycerolresampling-SRYES if Padj<0.05, else not significant; LFC<0 means less insertions/more essential in cholesterol
in-vitroSmith 2022 eLifenon-essential7H9HMM6 replicates (raw data in Subramaniam 2017, PMID 31752678)
in-vivo (mice)Smith 2022 eLifenon-essentialBL6 miceHMM6 replicates (raw data in Subramaniam 2017, PMID 31752678)
differentially essential in miceSmith 2022 eLifeNO (LFC=0.279)in-vivo vs in-vitroZINBYES if Padj<0.05, else not significant; LFC<0 means less insertions/more essential in mice
in-vitro (minimal)Minato 2019 mSysnon-essentialminimal mediumHMM
in-vitro (YM rich medium)Minato 2019 mSysnon-essentialYM rich mediumHMM7H9 supplemented with ~20 metabolites (amino acids, vitamins)
differentially essential in YM rich mediumMinato 2019 mSysNO (LFC=-0.37)YM rich vs minimal mediumresampling

TnSeq Data No data currently available.
  • No TnSeq data currently available for this Target.
RNASeq Data No data currently available.
  • No RNA-Seq data currently available for this Target.
Metabolomic Profiles No data currently available.
  • No Metabolomic data currently available for this Target.
Proteomic Data No data currently available.
  • No Proteomic data currently available for this Target.

Regulatory Relationships from Systems Biology
  • BioCyc

    Gene interactions based on ChIPSeq and Transcription Factor Over-Expression (TFOE) (Systems Biology)

    NOTE: Green edges represent the connected genes being classified as differentially essential as a result of the middle gene being knocked out. These interactions are inferred based on RNASeq.

    Interactions based on ChIPSeq data

  • Interactions based on ChIPSeq data (Minch et al. 2014)

    • Binds To:

      • No bindings to other targets were found.
    • Bound By:

    Interactions based on TFOE data (Rustad et al. 2014)



    TBCAP

    Tubculosis Community Annotation Project (
    Slayden et al., 2013)

    Rv0217c (lipW)

    PropertyValueCreatorEvidencePMIDComment
    InteractionPhysicalInteraction Rv0228shahanup86NASCo-expression (Functional linkage)
    J. Daniel, C. Deb et al. Induction of a novel class of diacylglycerol acyltransferases and triacylglycerol accumulation in Mycobacterium tuberculosis as it goes into a dormancy-like state in culture. J. Bacteriol. 2004
    CitationInduction of a novel class of diacylglycerol acyltransferases and triacylglycerol accumulation in Mycobacterium tuberculosis as it goes into a dormancy-like state in culture. J. Daniel, C. Deb et al. J. Bacteriol. 2004shahanup86NAS15262939Co-expression (Functional linkage)
    InteractionPhysicalInteraction Rv0221shahanup86NASCo-expression (Functional linkage)
    J. Daniel, C. Deb et al. Induction of a novel class of diacylglycerol acyltransferases and triacylglycerol accumulation in Mycobacterium tuberculosis as it goes into a dormancy-like state in culture. J. Bacteriol. 2004
    InteractionPhysicalInteraction Rv0220shahanup86NASCo-expression (Functional linkage)
    J. Daniel, C. Deb et al. Induction of a novel class of diacylglycerol acyltransferases and triacylglycerol accumulation in Mycobacterium tuberculosis as it goes into a dormancy-like state in culture. J. Bacteriol. 2004
    InteractionPhysicalInteraction Rv0214shahanup86NASCo-expression (Functional linkage)
    J. Daniel, C. Deb et al. Induction of a novel class of diacylglycerol acyltransferases and triacylglycerol accumulation in Mycobacterium tuberculosis as it goes into a dormancy-like state in culture. J. Bacteriol. 2004
    InteractionPhysicalInteraction Rv0215cshahanup86NASCo-expression (Functional linkage)
    J. Daniel, C. Deb et al. Induction of a novel class of diacylglycerol acyltransferases and triacylglycerol accumulation in Mycobacterium tuberculosis as it goes into a dormancy-like state in culture. J. Bacteriol. 2004
    InteractionPhysicalInteraction Rv0214ahal4789NASCo-expression (Functional linkage)
    J. Daniel, C. Deb et al. Induction of a novel class of diacylglycerol acyltransferases and triacylglycerol accumulation in Mycobacterium tuberculosis as it goes into a dormancy-like state in culture. J. Bacteriol. 2004
    InteractionRegulatedBy Rv0182cyamir.morenoIEPMicroarrays. mRNA levels of regulated element measured and compared between wild-type and trans-element mutation (knockout, over expression etc.) performed by using microarray (or macroarray) experiments..
    JH. Lee, DE. Geiman et al. Role of stress response sigma factor SigG in Mycobacterium tuberculosis. J. Bacteriol. 2008

    Comments