Annotation Categories of the Plasmid Cluster







Summary of the plasmid cluster

Basic Information about the Plasmid Cluster

  Cluster Information   Plasmid Cluster ID   C1563
  Reference Plasmid   1111525849480213_bin.15__k141_1305583
  Reference Plasmid Size   13348
  Reference Plasmid GC Content   0.62
  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
M0007563 CANPBBDA_00002 1962 18 Skin 0.38 protein_coding missense_variant MODERATE 1326T>A Asp442Glu
M0007564 CANPBBDA_00001 5795 5 Skin 0.10 protein_coding upstream_gene_variant MODIFIER -3927C>T None
M0007565 CANPBBDA_00013 12081 19 Skin 0.40 protein_coding missense_variant MODERATE 670G>A Asp224Asn
M0007566 CANPBBDA_00004 4716 4 Skin 0.08 protein_coding synonymous_variant LOW 303A>G Gln101Gln
M0007567 CANPBBDA_00007 7694 8 Skin 0.17 protein_coding synonymous_variant LOW 883T>C Leu295Leu
M0007568 CANPBBDA_00007 7729 7 Skin 0.15 protein_coding synonymous_variant LOW 918G>A Ala306Ala
M0007569 CANPBBDA_00008 8655 6 Skin 0.13 protein_coding upstream_gene_variant MODIFIER -189T>G None
M0007570 CANPBBDA_00001 5940 4 Skin 0.08 protein_coding upstream_gene_variant MODIFIER -4072G>T None
M0007571 CANPBBDA_00007 7267 9 Skin 0.19 protein_coding synonymous_variant LOW 456G>A Gln152Gln
M0007572 CANPBBDA_00008 8730 5 Skin 0.10 protein_coding upstream_gene_variant MODIFIER -264A>C None
M0007573 CANPBBDA_00008 8570 4 Skin 0.08 protein_coding upstream_gene_variant MODIFIER -104A>G None
M0007574 CANPBBDA_00014 12955 4 Skin 0.08 protein_coding missense_variant MODERATE 165G>C Arg55Ser
M0007575 CANPBBDA_00006 6550 5 Skin 0.10 protein_coding synonymous_variant LOW 510T>C Arg170Arg
M0007576 CANPBBDA_00006 6580 3 Skin 0.06 protein_coding synonymous_variant LOW 540T>G Pro180Pro
M0007577 CANPBBDA_00002 2739 3 Skin 0.06 protein_coding synonymous_variant LOW 549T>C Pro183Pro
M0007578 CANPBBDA_00007 7108 6 Skin 0.13 protein_coding synonymous_variant LOW 297A>G Pro99Pro
M0007579 CANPBBDA_00003 332 5 Skin 0.10 protein_coding upstream_gene_variant MODIFIER -3074C>A None
M0007580 CANPBBDA_00003 341 5 Skin 0.10 protein_coding upstream_gene_variant MODIFIER -3065G>A None
M0007581 CANPBBDA_00003 349 5 Skin 0.10 protein_coding upstream_gene_variant MODIFIER -3057T>A None
M0007582 CANPBBDA_00003 350 5 Skin 0.10 protein_coding upstream_gene_variant MODIFIER -3056C>T None
M0007583 CANPBBDA_00001 450 7 Skin 0.15 protein_coding synonymous_variant LOW 1419C>T Arg473Arg
M0007584 CANPBBDA_00001 1527 5 Skin 0.10 protein_coding synonymous_variant LOW 342G>A Ala114Ala
M0007585 CANPBBDA_00006 6221 6 Skin 0.13 protein_coding missense_variant MODERATE 181C>A Pro61Thr
M0007586 CANPBBDA_00013 12559 3 Skin 0.06 protein_coding synonymous_variant LOW 192A>G Gln64Gln
M0007587 CANPBBDA_00008 7819 4 Skin 0.08 protein_coding synonymous_variant LOW 648G>A Glu216Glu
M0007588 CANPBBDA_00002 2906 3 Skin 0.06 protein_coding synonymous_variant LOW 382C>T Leu128Leu
M0007589 CANPBBDA_00007 7135 3 Skin 0.06 protein_coding synonymous_variant LOW 324G>A Pro108Pro
M0007590 CANPBBDA_00003 113 3 Skin 0.06 protein_coding upstream_gene_variant MODIFIER -3293G>A None
M0007591 CANPBBDA_00003 142 3 Skin 0.06 protein_coding upstream_gene_variant MODIFIER -3264A>C 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