Annotation Categories of the Plasmid Cluster







Summary of the plasmid cluster

Basic Information about the Plasmid Cluster

  Cluster Information   Plasmid Cluster ID   C2208
  Reference Plasmid   1111525849748616_bin.21__k141_786053
  Reference Plasmid Size   138920
  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
M0030025 CFCHIGPG_00088 75166 3 Skin 0.06 protein_coding missense_variant MODERATE 299T>C Val100Ala
M0030026 CFCHIGPG_00097 82910 3 Skin 0.06 protein_coding missense_variant MODERATE 795G>T Met265Ile
M0030027 CFCHIGPG_00038 33651 4 Skin 0.08 protein_coding missense_variant MODERATE 41T>C Val14Ala
M0030028 CFCHIGPG_00038 35406 3 Skin 0.06 protein_coding missense_variant MODERATE 1796T>C Ile599Thr
M0030029 CFCHIGPG_00061 55510 3 Skin 0.06 protein_coding upstream_gene_variant MODIFIER -14G>A None
M0030030 CFCHIGPG_00108 92530 3 Skin 0.06 protein_coding missense_variant MODERATE 267C>G Asn89Lys






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
CFCHIGPG_00121 Copper (Cu), Hydrochloric acid (HCl) [class: Acid] 70.9 9.1e-48 1 127 0.7427 0.8639 experiment
CFCHIGPG_00124 Copper (Cu), Gold (Au) 74.9 1e-309 87 838 0.8826 0.9869 experiment
CFCHIGPG_00034 Mercury (Hg) 91.5 2.2e-69 1 142 1.0000 1.0000 prediction
CFCHIGPG_00038 Mercury (Hg), Phenylmercury Acetate [class: Organo-mercury] 99.7 0 1 767 1.0000 1.0000 prediction
CFCHIGPG_00079 Arsenic (As) 100 6.3e-133 1 238 1.0000 1.0000 prediction
CFCHIGPG_00080 Arsenic (As) 89.7 2.3e-171 1 348 0.9613 0.9803 prediction
CFCHIGPG_00118 Copper (Cu) 100 1e-294 1 502 1.0000 1.0000 prediction
CFCHIGPG_00121 Copper (Cu), Hydrochloric acid (HCl) [class: Acid] 71.7 1.2e-45 1 127 0.7427 0.8639 prediction
CFCHIGPG_00124 Copper (Cu), Gold (Au) 74.6 0 11 838 0.9718 0.9964 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
CFCHIGPG_00072 AIK42326.1|GH23 100 7.44e-177 1 254 1 1





        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
CFCHIGPG_00116 3.A.3.5.39 72.7 0 16 795 0.9811 0.9521 3 Primary Active Transporters 3.A P-P-bond-hydrolysis-driven transporters 3.A.3 The P-type ATPase (P-ATPase) Superfamily
CFCHIGPG_00124 3.A.3.5.20 74.9 3.9e-308 87 838 0.8826 0.9816 3 Primary Active Transporters 3.A P-P-bond-hydrolysis-driven transporters 3.A.3 The P-type ATPase (P-ATPase) Superfamily