Annotation Categories of the Plasmid Cluster







Summary of the plasmid cluster

Basic Information about the Plasmid Cluster

  Cluster Information   Plasmid Cluster ID   C8
  Reference Plasmid   NZ_CP072553.1
  Reference Plasmid Size   48843
  Reference Plasmid GC Content   0.38
  Reference Plasmid Mobility Type   conjugative





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
M0104509 DDGIPFMH_00001 209 3 Skin 0.33 protein_coding synonymous_variant LOW 144G>A Lys48Lys
M0104510 DDGIPFMH_00001 234 3 Skin 0.33 protein_coding missense_variant MODERATE 169G>A Val57Ile
M0104511 DDGIPFMH_00001 242 3 Skin 0.33 protein_coding synonymous_variant LOW 177T>C Phe59Phe
M0104512 DDGIPFMH_00001 267 3 Skin 0.33 protein_coding missense_variant MODERATE 202T>C Phe68Leu
M0188172 ACOCILAE_00030 32460 7 Gut 0.78 protein_coding upstream_gene_variant MODIFIER -3520G>A None
M0188173 ACOCILAE_00031 29473 3 Gut 0.33 protein_coding synonymous_variant LOW 378C>A Arg126Arg
M0188174 ACOCILAE_00031 29482 3 Gut 0.33 protein_coding synonymous_variant LOW 387A>C Pro129Pro
M0188175 ACOCILAE_00031 29902 3 Gut 0.33 protein_coding synonymous_variant LOW 807C>T Pro269Pro
M0188176 ACOCILAE_00031 30090 3 Gut 0.33 protein_coding missense_variant MODERATE 995A>C Lys332Thr






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
DDGIPFMH_00038 ARO:3002699 88.6 6.51e-263 1 421 1.0000 1.0000 phenicol antibiotic major facilitator superfamily (MFS) antibiotic efflux pump antibiotic efflux
ACOCILAE_00038 ARO:3002699 88.6 6.51e-263 1 421 1.0000 1.0000 phenicol antibiotic major facilitator superfamily (MFS) antibiotic efflux pump antibiotic efflux






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
DDGIPFMH_00013 QXX88331.1|GH23 100 1.56e-291 1 415 1 1
DDGIPFMH_00016 QXX88334.1|GH23 100 5.92e-170 1 237 1 1
ACOCILAE_00013 QXX88331.1|GH23 100 1.56e-291 1 415 1 1
ACOCILAE_00016 QXX88334.1|GH23 100 5.92e-170 1 237 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
DDGIPFMH_00038 2.A.1.2.3 75.7 1.1e-175 1 416 0.9881 0.9928 2 Electrochemical Potential-driven Transporters 2.A Porters (uniporters, symporters, antiporters) 2.A.1 The Major Facilitator Superfamily (MFS)
ACOCILAE_00038 2.A.1.2.3 75.7 1.1e-175 1 416 0.9881 0.9928 2 Electrochemical Potential-driven Transporters 2.A Porters (uniporters, symporters, antiporters) 2.A.1 The Major Facilitator Superfamily (MFS)