Annotation Categories of the Plasmid Cluster







Summary of the plasmid cluster

Basic Information about the Plasmid Cluster

  Cluster Information   Plasmid Cluster ID   C3006
  Reference Plasmid   DSKIN0033-1_bin.9__k141_94520
  Reference Plasmid Size   11375
  Reference Plasmid GC Content   0.63
  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
M0069699 ODKCHFDJ_00015 11197 4 Skin 0.44 protein_coding missense_variant MODERATE 161G>T Arg54Leu
M0069700 ODKCHFDJ_00015 11222 4 Skin 0.44 protein_coding missense_variant MODERATE 136G>C Gly46Arg
M0069701 ODKCHFDJ_00015 11233 4 Skin 0.44 protein_coding missense_variant MODERATE 125G>A Gly42Glu
M0069702 ODKCHFDJ_00009 7025 4 Skin 0.44 protein_coding missense_variant MODERATE 47G>T Arg16Leu
M0069703 ODKCHFDJ_00011 7861 3 Skin 0.33 protein_coding missense_variant MODERATE 205C>T Leu69Phe
M0069704 ODKCHFDJ_00011 7881 3 Skin 0.33 protein_coding missense_variant MODERATE 185A>G Asn62Ser
M0069705 ODKCHFDJ_00005 2968 4 Skin 0.44 protein_coding missense_variant MODERATE 124C>G Leu42Val
M0069706 ODKCHFDJ_00008 5065 3 Skin 0.33 protein_coding missense_variant MODERATE 562C>T Leu188Phe






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
ODKCHFDJ_00007 Copper (Cu) 82.6 4.2e-74 1 167 1.0000 1.0121 experiment
ODKCHFDJ_00008 Copper (Cu) 89.8 7.1e-268 1 470 1.0000 1.0000 experiment
ODKCHFDJ_00009 Copper (Cu) 81.4 3.4e-206 4 470 0.9936 0.9811 experiment
ODKCHFDJ_00007 Copper (Cu) 100 1e-89 1 167 1.0000 1.0000 prediction
ODKCHFDJ_00008 Copper (Cu) 99.8 1.7e-275 28 470 0.9426 1.0000 prediction
ODKCHFDJ_00009 Cadmium (Cd), Zinc (Zn), Cobalt (Co) 99.8 2.1e-249 1 470 1.0000 1.0000 prediction






        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