Annotation Categories of the Plasmid Cluster







Summary of the plasmid cluster

Basic Information about the Plasmid Cluster

  Cluster Information   Plasmid Cluster ID   C2974
  Reference Plasmid   DS1912044172-1_bin.4__k141_7691
  Reference Plasmid Size   3456
  Reference Plasmid GC Content   0.64
  Reference Plasmid Mobility Type   non-mobilizable





Mutation sites in the plasmid cluster


The table lists mutations identified in the plasmid cluster.
Note: Mutations identified in this plasmid cluster are listed below. Click on a mutation ID to view full details..

mutid gname pos count tissue frequnt biotype consequence impact nucchange aachange
M0068754 ODEMKGHA_00001 433 3 Skin 0.23 protein_coding missense_variant MODERATE 68T>C Ile23Thr
M0068755 ODEMKGHA_00001 437 3 Skin 0.23 protein_coding missense_variant MODERATE 64C>T Arg22Cys
M0068756 ODEMKGHA_00001 450 3 Skin 0.23 protein_coding synonymous_variant LOW 51A>G Ser17Ser
M0068757 ODEMKGHA_00001 453 3 Skin 0.23 protein_coding synonymous_variant LOW 48C>T Ala16Ala
M0068758 ODEMKGHA_00001 1128 4 Skin 0.31 protein_coding upstream_gene_variant MODIFIER -628T>C None
M0068759 ODEMKGHA_00001 1489 7 Skin 0.54 protein_coding upstream_gene_variant MODIFIER -989G>A None
M0068760 ODEMKGHA_00001 1815 6 Skin 0.46 protein_coding upstream_gene_variant MODIFIER -1315T>C None
M0068761 ODEMKGHA_00001 1818 6 Skin 0.46 protein_coding upstream_gene_variant MODIFIER -1318T>C None
M0068762 ODEMKGHA_00001 1819 6 Skin 0.46 protein_coding upstream_gene_variant MODIFIER -1319C>A None
M0068763 ODEMKGHA_00001 1823 6 Skin 0.46 protein_coding upstream_gene_variant MODIFIER -1323G>A None
M0068764 ODEMKGHA_00001 1937 9 Skin 0.69 protein_coding upstream_gene_variant MODIFIER -1437A>C None
M0068765 ODEMKGHA_00006 2516 8 Skin 0.62 protein_coding missense_variant MODERATE 94G>A Ala32Thr
M0068766 ODEMKGHA_00007 3016 8 Skin 0.62 protein_coding synonymous_variant LOW 414T>C Pro138Pro
M0068767 ODEMKGHA_00007 3055 8 Skin 0.62 protein_coding synonymous_variant LOW 375T>C Asn125Asn
M0068768 ODEMKGHA_00007 3066 8 Skin 0.62 protein_coding missense_variant MODERATE 364G>C Val122Leu
M0068769 ODEMKGHA_00007 3169 3 Skin 0.23 protein_coding synonymous_variant LOW 261C>T Tyr87Tyr
M0068770 ODEMKGHA_00001 1920 7 Skin 0.54 protein_coding upstream_gene_variant MODIFIER -1420C>T None
M0068771 ODEMKGHA_00001 1923 7 Skin 0.54 protein_coding upstream_gene_variant MODIFIER -1423T>C None
M0068772 ODEMKGHA_00002 691 3 Skin 0.23 protein_coding synonymous_variant LOW 405A>G Lys135Lys
M0068773 ODEMKGHA_00002 742 3 Skin 0.23 protein_coding synonymous_variant LOW 354T>G Leu118Leu
M0068774 ODEMKGHA_00006 2439 3 Skin 0.23 protein_coding synonymous_variant LOW 171C>T Phe57Phe
M0068775 ODEMKGHA_00001 178 3 Skin 0.23 protein_coding missense_variant MODERATE 323G>T Arg108Leu
M0068776 ODEMKGHA_00001 201 3 Skin 0.23 protein_coding synonymous_variant LOW 300A>G Glu100Glu
M0068777 ODEMKGHA_00001 246 3 Skin 0.23 protein_coding synonymous_variant LOW 255G>C Thr85Thr
M0068778 ODEMKGHA_00001 2177 3 Skin 0.23 protein_coding upstream_gene_variant MODIFIER -1677T>C None
M0068779 ODEMKGHA_00001 2206 3 Skin 0.23 protein_coding upstream_gene_variant MODIFIER -1706C>A None
M0068780 ODEMKGHA_00001 2242 3 Skin 0.23 protein_coding upstream_gene_variant MODIFIER -1742A>G None






Analysis of virulence factors contributing to bacterial pathogenicity


This table presents virulence factors identified within the plasmid cluster.
      Note: Virulence factor analysis was performed using VFDB. Genes in plasmid clusters showing strong homology (identity > 70%, coverage > 70%, E-value < 1e-5) to known virulence factors are listed.

Gene Name vf_gene_id vf_name identity evalue qstart qend query_coverage subject_coverage vf_category gene_description condition







        Analysis of biocide and heavy metal resistance genes to assess antimicrobial risk and environmental impact


This table presents biocides and heavy metals resistance genes identified within the plasmid cluster.
      Note: Analyzing biocide and heavy metal resistance genes based on BacMet to evaluate bacterial resistance risk and the potential impact of environmental heavy metal contamination. Genes in plasmid clusters showing strong homology (identity > 70%, subject coverage > 70%, E-value < 1e-5) to known biocide and heavy metal resistance genes are listed.

Gene Name compound identity evalue qstart qend query_coverage subject_coverage group






        Analyzing antimicrobial resistance genes to assess bacterial resistance to antibiotics and other antimicrobial agents


This table presents antimicrobial resistance genes identified within the plasmid cluster.
      Note: Antimicrobial resistance was performed using CARD. Genes in plasmid clusters showing strong homology (identity > 70%, coverage > 70%, E-value < 1e-5) to known antimicrobial resistance genes are listed.

Gene Name aro_accession identity evalue qstart qend query_coverage subject_coverage drug_class amr_gene_family resistance_mechanism






Analysis of pathogenicity genes to explore pathogen-host interactions


This table presents host pathogen-host interactions within the plasmid cluster.
      Note: Analyzing pathogenicity-related genes using PHI-base to understand pathogen virulence mechanisms and their impact on host interactions. Genes in plasmid clusters showing strong homology (identity > 70%, subject coverage > 70%, and E-value < 1e-5) to known pathogenicity-related genes are listed.

Gene Name phi_molconn_id host gene_name identity evalue qstart qend query_coverage subject_coverage host_descripton disease_name function phenotype_of_mutant






        Analyzing carbohydrate-active enzyme genes to uncover mechanisms of nutrient degradation


This table presents carbohydrate-active enzyme genes identified within the plasmid cluster.
      Note: Annotation of carbohydrate-active enzyme genes was performed using CAZy to explore mechanisms of nutrient breakdown and utilization. Genes in plasmid clusters showing strong homology (identity > 70%, subject coverage > 70%, and E-value < 1e−5) to known CAZyme genes are listed.

Gene Name cazy_id identity evalue qstart qend query_coverage subject_coverage





        Analyzing transport proteins to understand bacterial strategies for substrate uptake and detoxification


This table presents transport proteins within the plasmid cluster.
      Note: Investigation of transport proteins based on TCDB to uncover bacterial mechanisms of substrate transport and environmental detoxification. Genes in plasmid clusters showing strong homology (identity > 70%, subject coverage > 70%, and E-value < 1e−5) to known transport protein entries are listed.

Gene Name tcid identity evalue qstart qend query_coverage subject_coverage class_field class_term subclass subclass_term family family_term