TB Genome Annotation Portal

Rv1475c (acn)

Amino Acid Sequence

VTSKSVNSFGAHDTLKVGEKSYQIYRLDAVPNTAKLPYSLKVLAENLLRNEDGSNITKDHIEAIANWDPKAEPSIEIQYTPARVVMQDFTGVPCIVDLAT
MREAIADLGGNPDKVNPLAPADLVIDHSVIADLFGRADAFERNVEIEYQRNGERYQFLRWGQGAFDDFKVVPPGTGIVHQVNIEYLASVVMTRDGVAYPD
TCVGTDSHTTMVNGLGVLGWGVGGIEAEAAMLGQPVSMLIPRVVGFRLTGEIQPGVTATDVVLTVTEMLRQHGVVGKFVEFYGEGVAEVPLANRATLGNM
SPEFGSTAAIFPIDEETIKYLRFTGRTPEQVALVEAYAKAQGMWHDPKHEPEFSEYLELNLSDVVPSIAGPKRPQDRIALAQAKSTFREQIYHYVGNGSP
DSPHDPHSKLDEVVEETFPASDPGQLTFANDDVATDETVHSAAAHADGRVSNPVRVKSDELGEFVLDHGAVVIAAITSCTNTSNPEVMLGAALLARNAVE
KGLTSKPWVKTTIAPGSQVVNDYYDRSGLWPYLEKLGFYLVGYGCTTCIGNSGPLPEEISKAVNDNDLSVTAVLSGNRNFEGRINPDVKMNYLASPPLVI
AYALAGTMDFDFQTQPLGQDKDGKNVFLRDIWPSQQDVSDTIAAAINQEMFTRNYADVFKGDDRWRNLPTPSGNTFEWDPNSTYVRKPPYFEGMTAKPEP
VGNISGARVLALLGDSVTTDHISPAGAIKPGTPAARYLDEHGVDRKDYNSFGSRRGNHEVMIRGTFANIRLRNQLLDDVSGGYTRDFTQPGGPQAFIYDA
AQNYAAQHIPLVVFGGKEYGSGSSRDWAAKGTLLLGVRAVIAESFERIHRSNLIGMGVIPLQFPEGKSASSLGLDGTEVFDITGIDVLNDGKTPKTVCVQ
ATKGDGATIEFDAVVRIDTPGEADYYRNGGILQYVLRNILKSG
(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?NONO
omega peak height (95%CI lower bound)1.48 (0.31)1.37 (0.48)
codons under selection
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

Rv1475c/acn, gene len: 2831 bp, num TA sites: 56
conditiondatasetcallmediummethodnotes
in-vitroDeJesus 2017 mBioessential7H9HMMfully saturated, 14 TnSeq libraries combined
in-vitroSassetti 2003 Mol Microessential 7H9TRASHessential if hybridization ratio<0.2
in-vivo (mice)Sassetti 2003 PNASno data BL6 miceTRASHessential if hybridization ratio<0.4, min over 4 timepoints (1-8 weeks)
in-vitro (glycerol)Griffin 2011 PPathuncertainM9 minimal+glycerolGumbel2 replicates; Padj<0.05
in-vitro (cholesterol)Griffin 2011 PPathuncertainM9 minimal+cholesterolGumbel3 replicates; Padj<0.05
differentially essential in cholesterol Griffin 2011 PPathNO (LFC=-1.44)cholesterol vs glycerolresampling-SRYES if Padj<0.05, else not significant; LFC<0 means less insertions/more essential in cholesterol
in-vitroSmith 2022 eLifeessential7H9HMM6 replicates (raw data in Subramaniam 2017, PMID 31752678)
in-vivo (mice)Smith 2022 eLifeessentialBL6 miceHMM6 replicates (raw data in Subramaniam 2017, PMID 31752678)
differentially essential in miceSmith 2022 eLifeNO (LFC=-0.017)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 mSysessentialminimal mediumHMM
in-vitro (YM rich medium)Minato 2019 mSysessentialYM rich mediumHMM7H9 supplemented with ~20 metabolites (amino acids, vitamins)
differentially essential in YM rich mediumMinato 2019 mSysNO (LFC=-0.55)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

    RNA processing and modification
    Energy production and conversion
    Chromatin structure and dynamics
    Amino acid transport and metabolism
    Cell cycle control, cell division, chromosome partitioning
    Carbohydrate transport and metabolism
    Nucleotide transport and metabolism
    Lipid transport and metabolism
    Coenzyme transport and metabolism
    Transcription
    Translation, ribosomal structure and biogenesis
    Cell wall/membrane/envelope biogenesis
    Replication, recombination and repair
    Posttranslational modification, protein turnover, chaperones
    Cell motility
    Secondary metabolites biosynthesis, transport and catabolism
    Inorganic ion transport and metabolism
    Function unknown
    General function prediction only
    Intracellular trafficking, secretion, and vesicular transport
    Signal transduction mechanisms
    Extracellular structures
    Defense mechanisms
    Nuclear structure
    Cytoskeleton
  • BioCyc Co-regulated genes based on gene expression profiling (Systems Biology, Inferelator Network)
  • Differentially expressed as result of RNASeq in glycerol environment (Only top 20 genes shown sorted by log fold change with p_adj 0.05).
    Conditionally essential as result of TNSeq (Only top 20 genes shown sorted by log fold change with p_adj 0.05).
  • BioCyc Transcription factor binding based on ChIP-Seq (Systems Biology)
  • Interactions based on ChIPSeq data (Minch et al. 2014)

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



    TBCAP

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

    Rv1475c (acn)

    PropertyValueCreatorEvidencePMIDComment
    InteractionRegulatedBy Rv3676yamir.morenoISOE.coli orthology based inference. Orthologous pair regulator-target found in E.coli.
    G. Balzsi, AP. Heath et al. The temporal response of the Mycobacterium tuberculosis gene regulatory network during growth arrest. Mol. Syst. Biol. 2008
    InteractionRegulatedBy Rv3676yamir.morenoISOE.coli orthology based inference. Orthologous pair regulator-target found in E.coli.
    authors,M. Madan Babu,SA. Teichmann,L. Aravind Evolutionary dynamics of prokaryotic transcriptional regulatory networks. J. Mol. Biol. 2006
    CitationRole of the methylcitrate cycle in Mycobacterium tuberculosis metabolism, intracellular growth, and virulence. EJ. Muoz-Elas, AM. Upton et al. Mol. Microbiol. 2006jjmcfadden16689789Inferred from direct assay
    TermEC:4.2.1.99 2-methylisocitrate dehydratase. - NRjjmcfaddenNRInferred from direct assay
    EJ. Muoz-Elas, AM. Upton et al. Role of the methylcitrate cycle in Mycobacterium tuberculosis metabolism, intracellular growth, and virulence. Mol. Microbiol. 2006
    TermEC:4.2.1.3 Aconitate hydratase. - NRjjmcfaddenNRInferred from direct assay
    EJ. Muoz-Elas, AM. Upton et al. Role of the methylcitrate cycle in Mycobacterium tuberculosis metabolism, intracellular growth, and virulence. Mol. Microbiol. 2006
    CitationCentral carbon metabolism in Mycobacterium tuberculosis: an unexpected frontier. authors,KY. Rhee,LP. de Carvalho,R. Bryk,S. Ehrt,J. Marrero,SW. Park,D. Schnappinger,A. Venugopal,C. Nathan Trends Microbiol. 2011extern:JZUCKER21561773Traceable author statement to experimental support
    TermEC:4.2.1.3 Aconitate hydratase. - NRextern:JZUCKERNRTraceable author statement to experimental support
    authors,KY. Rhee,LP. de Carvalho,R. Bryk,S. Ehrt,J. Marrero,SW. Park,D. Schnappinger,A. Venugopal,C. Nathan Central carbon metabolism in Mycobacterium tuberculosis: an unexpected frontier. Trends Microbiol. 2011
    CitationIron-dependent RNA-binding activity of Mycobacterium tuberculosis aconitase. S. Banerjee, AK. Nandyala et al. J. Bacteriol. 2007extern:JZUCKER17384188Inferred from mutant phenotype
    TermEC:4.2.1.3 Aconitate hydratase. - NRextern:JZUCKERNRInferred from mutant phenotype
    S. Banerjee, AK. Nandyala et al. Iron-dependent RNA-binding activity of Mycobacterium tuberculosis aconitase. J. Bacteriol. 2007

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