Annotation Categories of the Plasmid Cluster







Summary of the plasmid cluster

Basic Information about the Plasmid Cluster

  Cluster Information   Plasmid Cluster ID   C961
  Reference Plasmid   NZ_CP084442.1
  Reference Plasmid Size   21003
  Reference Plasmid GC Content   0.28
  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
M0105052 DNBIKNCJ_00014 10906 3 Skin 0.16 protein_coding synonymous_variant LOW 255A>G Val85Val
M0105053 DNBIKNCJ_00014 10924 8 Skin 0.42 protein_coding synonymous_variant LOW 273A>G Lys91Lys
M0105054 DNBIKNCJ_00014 10965 6 Skin 0.32 protein_coding missense_variant MODERATE 314A>G Lys105Arg
M0105055 DNBIKNCJ_00014 10969 3 Skin 0.16 protein_coding synonymous_variant LOW 318A>G Glu106Glu
M0105056 DNBIKNCJ_00011 12381 3 Skin 0.16 protein_coding upstream_gene_variant MODIFIER -3845T>C None
M0105057 DNBIKNCJ_00016 13168 3 Skin 0.16 protein_coding missense_variant MODERATE 64C>T Pro22Ser
M0105058 DNBIKNCJ_00013 10160 5 Skin 0.26 protein_coding missense_variant MODERATE 145G>A Ala49Thr
M0105059 DNBIKNCJ_00013 10363 5 Skin 0.26 protein_coding synonymous_variant LOW 348A>G Thr116Thr
M0105060 DNBIKNCJ_00013 10430 4 Skin 0.21 protein_coding missense_variant MODERATE 415G>A Asp139Asn
M0105061 DNBIKNCJ_00013 10591 4 Skin 0.21 protein_coding synonymous_variant LOW 576T>A Ile192Ile
M0105062 DNBIKNCJ_00013 10607 4 Skin 0.21 protein_coding missense_variant MODERATE 592G>C Gly198Arg
M0105063 DNBIKNCJ_00013 10608 4 Skin 0.21 protein_coding missense_variant MODERATE 593G>A Gly198Glu
M0105064 DNBIKNCJ_00013 10609 6 Skin 0.32 protein_coding synonymous_variant LOW 594G>A Gly198Gly
M0105065 DNBIKNCJ_00008 10649 3 Skin 0.16 protein_coding upstream_gene_variant MODIFIER -4545A>G None
M0105066 DNBIKNCJ_00014 10657 3 Skin 0.16 protein_coding synonymous_variant LOW 6C>T Ser2Ser
M0105067 DNBIKNCJ_00013 10114 4 Skin 0.21 protein_coding synonymous_variant LOW 99G>A Arg33Arg
M0105068 DNBIKNCJ_00014 10855 5 Skin 0.26 protein_coding missense_variant MODERATE 204A>G Ile68Met
M0105069 DNBIKNCJ_00014 10903 5 Skin 0.26 protein_coding missense_variant MODERATE 252T>G Asp84Glu
M0105070 DNBIKNCJ_00014 10922 5 Skin 0.26 protein_coding missense_variant MODERATE 271A>G Lys91Glu
M0105071 DNBIKNCJ_00008 9979 3 Skin 0.16 protein_coding upstream_gene_variant MODIFIER -3875A>G None
M0105072 DNBIKNCJ_00008 9984 3 Skin 0.16 protein_coding upstream_gene_variant MODIFIER -3880G>A None
M0105073 DNBIKNCJ_00014 10792 4 Skin 0.21 protein_coding synonymous_variant LOW 141C>T Ile47Ile
M0105074 DNBIKNCJ_00013 10540 3 Skin 0.16 protein_coding synonymous_variant LOW 525T>C Ser175Ser
M0105075 DNBIKNCJ_00013 10564 3 Skin 0.16 protein_coding synonymous_variant LOW 549C>T Tyr183Tyr
M0105076 DNBIKNCJ_00009 6294 3 Skin 0.16 protein_coding synonymous_variant LOW 157C>T Leu53Leu
M0105077 DNBIKNCJ_00009 6309 3 Skin 0.16 protein_coding missense_variant MODERATE 172T>G Leu58Val
M0105078 DNBIKNCJ_00009 6329 3 Skin 0.16 protein_coding synonymous_variant LOW 192C>T Asp64Asp
M0105079 DNBIKNCJ_00009 6333 3 Skin 0.16 protein_coding missense_variant MODERATE 196A>G Lys66Glu
M0105080 DNBIKNCJ_00009 6345 3 Skin 0.16 protein_coding missense_variant MODERATE 208G>A Asp70Asn
M0105081 DNBIKNCJ_00009 6347 3 Skin 0.16 protein_coding synonymous_variant LOW 210T>C Asp70Asp
M0105082 DNBIKNCJ_00009 6350 3 Skin 0.16 protein_coding synonymous_variant LOW 213A>G Glu71Glu
M0105083 DNBIKNCJ_00009 6359 3 Skin 0.16 protein_coding missense_variant MODERATE 222G>A Met74Ile
M0105084 DNBIKNCJ_00009 6374 3 Skin 0.16 protein_coding synonymous_variant LOW 237G>T Thr79Thr
M0105085 DNBIKNCJ_00009 6378 3 Skin 0.16 protein_coding missense_variant MODERATE 241A>G Met81Val
M0105086 DNBIKNCJ_00009 6410 3 Skin 0.16 protein_coding synonymous_variant LOW 273G>A Glu91Glu
M0105087 DNBIKNCJ_00009 6470 3 Skin 0.16 protein_coding missense_variant MODERATE 333T>A Asn111Lys
M0105088 DNBIKNCJ_00009 6542 3 Skin 0.16 protein_coding synonymous_variant LOW 405A>G Gln135Gln
M0105089 DNBIKNCJ_00009 6625 3 Skin 0.16 protein_coding missense_variant MODERATE 488A>G His163Arg
M0105090 DNBIKNCJ_00009 6629 3 Skin 0.16 protein_coding synonymous_variant LOW 492A>T Ile164Ile
M0105091 DNBIKNCJ_00009 6640 3 Skin 0.16 protein_coding missense_variant MODERATE 503C>G Ala168Gly
M0105092 DNBIKNCJ_00009 6641 3 Skin 0.16 protein_coding synonymous_variant LOW 504A>G Ala168Ala
M0105093 DNBIKNCJ_00009 6689 3 Skin 0.16 protein_coding synonymous_variant LOW 552T>C Asn184Asn
M0105094 DNBIKNCJ_00009 6828 3 Skin 0.16 protein_coding missense_variant MODERATE 691G>A Asp231Asn
M0105095 DNBIKNCJ_00009 6879 3 Skin 0.16 protein_coding missense_variant MODERATE 742C>A His248Asn
M0105096 DNBIKNCJ_00009 6997 3 Skin 0.16 protein_coding missense_variant MODERATE 860A>G Lys287Arg
M0105097 DNBIKNCJ_00009 7039 3 Skin 0.16 protein_coding missense_variant MODERATE 902G>A Arg301Lys
M0105098 DNBIKNCJ_00009 7041 3 Skin 0.16 protein_coding missense_variant MODERATE 904G>T Ala302Ser
M0105099 DNBIKNCJ_00009 7073 3 Skin 0.16 protein_coding synonymous_variant LOW 936G>A Ala312Ala
M0105100 DNBIKNCJ_00009 7101 3 Skin 0.16 protein_coding missense_variant MODERATE 964A>G Thr322Ala






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
DNBIKNCJ_00013 Cadmium (Cd), Zinc (Zn) 93.2 4.2e-100 1 205 1.0000 1.0000 experiment
DNBIKNCJ_00005 Mercury (Hg), Phenylmercury Acetate [class: Organo-mercury] 90.5 4.2e-95 1 190 1.0000 1.0000 prediction
DNBIKNCJ_00013 Cadmium (Cd), Zinc (Zn) 100 1e-102 1 205 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
DNBIKNCJ_00016 ARO:3008823 97.5 1.43e-191 1 281 1.0000 1.0000 penicillin beta-lactam BlaZ beta-lactamase antibiotic inactivation






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
DNBIKNCJ_00013 2.A.77.1.1 92.7 3.5e-98 1 205 1.0000 0.9809 2 Electrochemical Potential-driven Transporters 2.A Porters (uniporters, symporters, antiporters) 2.A.77 The Cadmium Resistance (CadD) Family