Annotation Categories of the Plasmid Cluster







Summary of the plasmid cluster

Basic Information about the Plasmid Cluster

  Cluster Information   Plasmid Cluster ID   C563
  Reference Plasmid   NZ_CP031904.1
  Reference Plasmid Size   75669
  Reference Plasmid GC Content   0.47
  Reference Plasmid Mobility Type   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
M0168558 KKCBBGHN_00008 9006 3 Gut 0.33 protein_coding synonymous_variant LOW 111T>C Asn37Asn
M0168559 KKCBBGHN_00008 9014 3 Gut 0.33 protein_coding missense_variant MODERATE 103A>G Asn35Asp
M0168560 KKCBBGHN_00008 9023 3 Gut 0.33 protein_coding missense_variant MODERATE 94T>C Tyr32His
M0168561 KKCBBGHN_00008 9024 3 Gut 0.33 protein_coding synonymous_variant LOW 93A>G Gln31Gln
M0168562 KKCBBGHN_00008 9029 3 Gut 0.33 protein_coding missense_variant MODERATE 88G>A Val30Ile
M0168563 KKCBBGHN_00008 9033 3 Gut 0.33 protein_coding synonymous_variant LOW 84A>G Glu28Glu
M0168564 KKCBBGHN_00008 9036 3 Gut 0.33 protein_coding synonymous_variant LOW 81A>G Gly27Gly
M0168565 KKCBBGHN_00008 9042 3 Gut 0.33 protein_coding synonymous_variant LOW 75A>T Gly25Gly
M0168566 KKCBBGHN_00008 9045 3 Gut 0.33 protein_coding synonymous_variant LOW 72T>C Asn24Asn
M0168567 KKCBBGHN_00008 9066 3 Gut 0.33 protein_coding synonymous_variant LOW 51C>T Thr17Thr
M0168568 KKCBBGHN_00009 9522 3 Gut 0.33 protein_coding missense_variant MODERATE 26T>C Phe9Ser






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
KKCBBGHN_00001 VFG035902 Dispersin 97.6 8.2e-195 1 376 1.0 1 Others permease AatP experiment
KKCBBGHN_00002 VFG035909 Dispersin 97.1 3.9e-222 1 412 1.0 1 Others outer membrane protein AatA experiment
KKCBBGHN_00003 VFG035916 Dispersin 97.6 7e-111 1 212 1.0 0.7766 Others AatB experiment
KKCBBGHN_00004 VFG035923 Dispersin 98.6 1.5e-110 1 209 1.0 1 Others ATP-binding protein AatC experiment
KKCBBGHN_00005 VFG035929 Dispersin 97.5 1.1e-224 1 403 1.0 0.9975 Others AatD experiment
KKCBBGHN_00074 VFG034574 Dispersin 96.6 3.7e-61 1 116 1.0 1 Others dispersin experiment
KKCBBGHN_00001 VFG035898 Dispersin 100 6.3e-199 1 376 1.0 1 Others permease AatP prediction
KKCBBGHN_00002 VFG035905 Dispersin 100 9.3e-228 1 412 1.0 1 Others outer membrane protein AatA prediction
KKCBBGHN_00003 VFG035912 Dispersin 100 1.5e-112 1 212 1.0 0.7766 Others AatB prediction
KKCBBGHN_00004 VFG035919 Dispersin 100 6.1e-111 1 209 1.0 1 Others ATP-binding protein AatC prediction
KKCBBGHN_00005 VFG035925 Dispersin 100 9.7e-230 1 403 1.0 1 Others AatD prediction
KKCBBGHN_00011 VFG033809 Vat 100 0 1 1364 1.0 1 Effector delivery system vacuolating autotransporter toxin prediction
KKCBBGHN_00052 VFG034579 AAFs 100 8.9e-145 36 287 0.878 1 Adherence periplasmic chaperone prediction
KKCBBGHN_00053 VFG034583 AAFs 100 0 1 842 1.0 1 Adherence usher protein prediction
KKCBBGHN_00055 VFG034591 AAFs 100 1.3e-90 1 167 1.0 1 Adherence adhesin protein prediction
KKCBBGHN_00069 VFG036086 AggR 100 3.5e-143 1 265 1.0 1 Regulation aggregative adherence transcriptional regulator AggR prediction
KKCBBGHN_00074 VFG034574 Dispersin 96.6 2.7e-60 1 116 1.0 1 Others dispersin prediction







        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
KKCBBGHN_00069 PHI:9507 aggR 100 1.2e-143 1 265 1.0000 1.0000 moths diarrhea transcriptional activator reduced virulence






        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
KKCBBGHN_00014 QDD24054.1|GH23 100 2.34e-156 1 215 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