Annotation Categories of the Plasmid Cluster







Summary of the plasmid cluster

Basic Information about the Plasmid Cluster

  Cluster Information   Plasmid Cluster ID   C813
  Reference Plasmid   NZ_CP066497.1
  Reference Plasmid Size   54690
  Reference Plasmid GC Content   0.41
  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
M0183978 PGJPKLJK_00025 27272 3 Gut 0.33 protein_coding missense_variant MODERATE 809T>G Leu270Arg
M0183979 PGJPKLJK_00028 30383 3 Gut 0.33 protein_coding missense_variant MODERATE 170A>G His57Arg
M0183980 PGJPKLJK_00029 32870 3 Gut 0.33 protein_coding synonymous_variant LOW 210T>C Val70Val
M0183981 PGJPKLJK_00029 33176 3 Gut 0.33 protein_coding synonymous_variant LOW 516A>G Pro172Pro
M0183982 PGJPKLJK_00029 33518 3 Gut 0.33 protein_coding synonymous_variant LOW 858C>T Leu286Leu
M0183983 PGJPKLJK_00029 34235 3 Gut 0.33 protein_coding synonymous_variant LOW 1575A>G Gln525Gln






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
PGJPKLJK_00034 PHI:8586 mntH1 75.3 5.5e-220 2 528 0.9943 0.9906 moths nosocomial infection divalent metal cation transporter unaffected pathogenicity






        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
PGJPKLJK_00022 QBA78937.1|GT2 98.5 9.89e-183 20 280 0.9321 0.8259
PGJPKLJK_00024 QHM32651.1|CBM48|GH13_9 100 0 1 629 1 1
PGJPKLJK_00027 ATO44758.1|GT5 100 0 1 480 1 1
PGJPKLJK_00028 QHM32655.1|GT35 99.8 0 1 804 1 1
PGJPKLJK_00029 QHM32656.1|GH13_39 100 0 1 616 1 1
PGJPKLJK_00039 AGL62902.2|GH36 99 1.44e-222 1 309 1 1
PGJPKLJK_00044 AGL62902.2|GH36 98.4 7.98e-220 1 309 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