MSMEG0828 (MSMEG0828)

background  +5   0  -5 -10 -15 sgRNA L2FC (+ATc/–ATc) TnSeq Gene Essentiality Predictions (1, 2) Essential Growth Defect Non-Essential Growth Advantage Unknown Operon Legend (3) Operon (1) PMID: 28096490 (2) PMID: 31388080 (3) PMID: 26536359 thiC MSMEG0827 MSMEG0828 xth MSMEG0830 MSMEG0831 def
Species: M. smegmatis
Strain: MC2-155
PATRIC Annotation: -
Synonyms:
M. tuberculosis homologs mpt63
M. abscessus homologs MAB1026c, MAB4857, MAB0462c, MAB2556c
Gene Start: 915135
Gene End: 916205
Vulnerability Index (VI): -0.3140
VI Lower Bound: -0.6630
VI Upper Bound: 0.0370

Essentiality:

Call Condition Type Source Notes
Non Essential in vitro TnSeq [Akusobi et al. (2022)]
Non Essential in vitro CRISPRi [Bosch & DeJesus et al. (2021)]


DNA and Protein Sequence help

DNA Sequence

TTCGCGCAACGCGTGGGCCACGCCGAGATCGTCCGCGAGGAGCGCAAAGGGAAGTCCCCCAGCGATCACGCACCCGTGCTCGTCGAACTGAACTGACAGCATCTGAACATCGCGTGAATTTGCCCCGATAATCGGATACAGCCATTTCCGCGGCCCTCGATAATTCCTGCTTTCCAGCGAAAAAGTGCGCGGCACGGTATCAAGGGTCTCGTACGATTGATTTCGCTGTCGGCTCGCGCCGACGGAAAACCGCCCAGTTGGGGGAAGCCGTCAACTGACGACTCTTTGGAGTGGACCATCATGAAGATCTCACAATTGACCATCGCCGCCGCGGCCGCGCTCGCCATCTCGGGCGCCGCGGGCACCGCGGGGATGGCGACCGCGTTCGCCGAGGCGGCACAGGCCGCACAGGTTTCGGCGAACCCGCTCGGCAGCCAGGCCAGGCTGGAGAACGGCGACGTGGTGCAGGCCTGGACCATCAGCGACCTGAAGCCGAGTTCGGACCCGATCCCGTACGCCGTGCAAGGAACGCTGTGGGAGGCCACGGCCACCGACGAGGCCGTTTCGGGCTCGGTCATCCCGATCGTGTCGAACCTCAACGCCAGGGCCGCCAACGGCGAGAACTACCGCGTGTTGTTCCAGGTCGCCACGCCGCAGGGCGTCAACCCCTCGACCCTGGCGCCGGGCCAGAAGACCACCGGCAAGGTCTATTTCGACGTCACCGGTGAGGCGCCGACCACCGTCGTCTACAACGACGGCGAGCGTGACCTGCTGGCCTGGTCGCAGACTGCCGCATCGACGACGTCGCCGCGTCCGGCGGCCACCGGTTCGGGCACGTCCGCGTCGACCCCGGCCCGCACGGCCCCGGTGACCACCGCACCGGCGTCGAACACGCCCGCCACAGAACTCGTGCCCGAGTCGCCGGCCGTCGCACCGACCGGTGCCGCACCGGCCGCCGCACCCGGCGCCGGGGCCGCGGCCACCGACATCCCGGGCAGCACGGTCCCGCCGCTCGCCGAGGACGCGGCCGATGAGGCCCTCGCGGAAGAGCTGACCGAGGACCTGCCCGACGAGCTGTCGCAGGACAGCGTCACTCCGGGCGAGAGCGTGGGTACCCCGTTGCCCGCCGCGGTCCAGCAGGCGCCCGCCGCTCCCGCTCCGGGCCAGCCGGCTCCCGCGGCTCCGGGTGCACAGGACATTCCGGCTGCACCGGCGGGTGAGGTTCCGGCCGCGCCCGTGACGCCGGCACCTGCGGCCCCGGTTGACGGTTCGACGACGCCGACGGTCCCGGCCGGCAGCGACGCGCCGCTCACCGCCGGTGGCATCCCGACGCTCGTGCCCGCCGCGAACCCGGGTGCCCCGACGCCCTGA

Protein Sequence

MKISQLTIAAAAALAISGAAGTAGMATAFAEAAQAAQVSANPLGSQARLENGDVVQAWTISDLKPSSDPIPYAVQGTLWEATATDEAVSGSVIPIVSNLNARAANGENYRVLFQVATPQGVNPSTLAPGQKTTGKVYFDVTGEAPTTVVYNDGERDLLAWSQTAASTTSPRPAATGSGTSASTPARTAPVTTAPASNTPATELVPESPAVAPTGAAPAAAPGAGAAATDIPGSTVPPLAEDAADEALAEELTEDLPDELSQDSVTPGESVGTPLPAAVQQAPAAPAPGQPAPAAPGAQDIPAAPAGEVPAAPVTPAPAAPVDGSTTPTVPAGSDAPLTAGGIPTLVPAANPGAPTP_
Vulnerability Assesment help
[Full list of passaging experiments]

Experiment: We designed an M. tuberculosis CRISPRi library (RLC12) to target all annotated Mtb genes with single guide RNAs (sgRNAs) of varying predicted knockdown efficiencies. In parallel, we constructed a M. smegmatis CRISPRi library (RLC11) to target all annotated Msmeg genes, similar to the Mtb sgRNA library. RLC12 was transformed into M. tuberculosis H37Rv; RLC11 into M. smegmatis mc2-155. We passaged both CRISPRi libraries for nearly 30 generations in the presence or absence of the CRISPRi-inducer anhydrotetracycline (ATc). At the indicated timepoints, genomic DNA was harvested and the representation of individual sgRNAs was counted using Illumina sequencing. Here, we show sgRNA log2 fold-change values (L2FC) (plus versus minus ATc) over consecutive generations for sgRNAs targeting the gene you selected. sgRNAs are color-coded based on their predicted strength from blue (strength=0; weak) to red (strength=1; strong).

In order to quantify gene vulnerability, data were subsequently analyzed with a hierarchical model at the sgRNA level (two-line model) and gene level (Hill curve). The vulnerability quantification is shown below. [More information]

M. smegmatis Reference Fitness Experiment M. tuberculosis H37Rv Reference Fitness Experiment M. tuberculosis HN878 Reference Fitness Experiment
 
 
M. smegmatis Gene-Level Logistic Regression M. tuberculosis H37Rv Gene-Level Logistic Regression (Most similar ortholog) M. tuberculosis HN878 Gene-Level Logistic Regression (Most similar ortholog)
 
Vulnerability Index (VI) -0.3140 0.6960
VI Lower Bound -0.6630 -0.1210
VI Upper Bound 0.0370 1.7340

Specific References

General References