Annotation Categories of the Plasmid Cluster







Summary of the plasmid cluster

Basic Information about the Plasmid Cluster

  Cluster Information   Plasmid Cluster ID   C517
  Reference Plasmid   NZ_CP025058.1
  Reference Plasmid Size   440784
  Reference Plasmid GC Content   0.68
  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
M0092951 DAIGJDGA_00135 148644 3 Skin 0.03 protein_coding upstream_gene_variant MODIFIER -4365T>C None
M0092952 DAIGJDGA_00135 148645 3 Skin 0.03 protein_coding upstream_gene_variant MODIFIER -4366G>A None
M0092953 DAIGJDGA_00141 151359 3 Skin 0.03 protein_coding synonymous_variant LOW 823T>C Leu275Leu
M0092954 DAIGJDGA_00141 151363 3 Skin 0.03 protein_coding synonymous_variant LOW 819A>G Glu273Glu
M0092955 DAIGJDGA_00143 154055 3 Skin 0.03 protein_coding synonymous_variant LOW 180T>C Gly60Gly
M0092956 DAIGJDGA_00136 144992 3 Skin 0.03 protein_coding missense_variant MODERATE 283T>A Leu95Met
M0092957 DAIGJDGA_00345 363386 3 Skin 0.03 protein_coding synonymous_variant LOW 438C>T Pro146Pro
M0092958 DAIGJDGA_00061 67435 3 Skin 0.03 protein_coding synonymous_variant LOW 598T>C Leu200Leu
M0092959 DAIGJDGA_00091 98856 3 Skin 0.03 protein_coding synonymous_variant LOW 690G>A Lys230Lys
M0092960 DAIGJDGA_00091 98859 3 Skin 0.03 protein_coding synonymous_variant LOW 693G>A Leu231Leu
M0092961 DAIGJDGA_00092 99451 3 Skin 0.03 protein_coding synonymous_variant LOW 241C>T Leu81Leu
M0092962 DAIGJDGA_00092 99560 3 Skin 0.03 protein_coding missense_variant MODERATE 350A>C Asp117Ala
M0092963 DAIGJDGA_00092 99840 3 Skin 0.03 protein_coding synonymous_variant LOW 630C>T Arg210Arg
M0092964 DAIGJDGA_00092 100017 3 Skin 0.03 protein_coding synonymous_variant LOW 807T>A Ser269Ser
M0092965 DAIGJDGA_00092 100047 3 Skin 0.03 protein_coding missense_variant MODERATE 837A>T Glu279Asp
M0092966 DAIGJDGA_00094 101414 3 Skin 0.03 protein_coding synonymous_variant LOW 145T>C Leu49Leu
M0092967 DAIGJDGA_00094 101425 3 Skin 0.03 protein_coding synonymous_variant LOW 156T>C Asp52Asp
M0092968 DAIGJDGA_00091 98373 3 Skin 0.03 protein_coding synonymous_variant LOW 207A>G Lys69Lys
M0092969 DAIGJDGA_00091 99117 4 Skin 0.03 protein_coding synonymous_variant LOW 951T>C Tyr317Tyr
M0092970 DAIGJDGA_00091 99118 4 Skin 0.03 protein_coding missense_variant MODERATE 952C>T Pro318Ser
M0092971 DAIGJDGA_00095 102110 3 Skin 0.03 protein_coding missense_variant MODERATE 86A>T His29Leu
M0092972 DAIGJDGA_00111 117569 3 Skin 0.03 protein_coding synonymous_variant LOW 16T>C Leu6Leu
M0092973 DAIGJDGA_00111 117596 3 Skin 0.03 protein_coding missense_variant MODERATE 43G>A Ala15Thr
M0092974 DAIGJDGA_00111 117625 3 Skin 0.03 protein_coding synonymous_variant LOW 72C>T Gly24Gly
M0092975 DAIGJDGA_00204 219448 3 Skin 0.03 protein_coding synonymous_variant LOW 219A>G Ala73Ala






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
DAIGJDGA_00139 PHI:10246 prpA 77.1 1.6e-161 1 332 0.9970 0.9970 rodents brucellosis 4-hydroxyproline epimerase 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
DAIGJDGA_00052 QET91751.1|GH15 100 0 1 612 1 1
DAIGJDGA_00168 UZO94480.1|GT4 100 6.22e-264 1 357 1 1
DAIGJDGA_00181 QET91662.1|GH4 100 0 1 436 1 1
DAIGJDGA_00283 WAJ29215.1|GT0 71 2.72e-192 1 366 0.976 0.9919
DAIGJDGA_00284 QDD97838.1|GT4 100 2.71e-257 1 364 1 1
DAIGJDGA_00334 QET91858.1|GH31 100 0 1 786 1 1
DAIGJDGA_00391 QET91810.1|GT4 100 2.85e-233 1 376 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