Annotation Categories of the Plasmid Cluster







Summary of the plasmid cluster

Basic Information about the Plasmid Cluster

  Cluster Information   Plasmid Cluster ID   C1111
  Reference Plasmid   NZ_CP116537.1
  Reference Plasmid Size   134360
  Reference Plasmid GC Content   0.36
  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
M0196210 NKLFACHH_00130 120590 3 Gut 0.38 protein_coding synonymous_variant LOW 447G>A Glu149Glu
M0196211 NKLFACHH_00132 122231 3 Gut 0.38 protein_coding missense_variant MODERATE 237C>G Phe79Leu






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
NKLFACHH_00113 VFG002197 BopD 85.4 5.2e-164 1 336 0.9912 1 Biofilm sugar-binding transcriptional regulator, LacI family experiment
NKLFACHH_00007 VFG042989 PilA-type pili (PGS1, pilin gene clusters 1) 98.7 6.7e-124 1 223 1.0 1 Adherence putative housekeeping sortase prediction
NKLFACHH_00008 VFG042988 PilA-type pili (PGS1, pilin gene clusters 1) 97.1 0 1 658 1.0 1 Adherence PilA prediction
NKLFACHH_00113 VFG045671 BopD 89.1 3e-168 1 337 0.9941 0.9941 Biofilm sugar-binding transcriptional regulator, LacI family 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






        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
NKLFACHH_00028 AOT80009.1|GH73 96.5 4.81e-272 1 401 1 1
NKLFACHH_00055 AWB15593.1|GH32 100 0 1 479 1 1
NKLFACHH_00085 QCS47807.1|GH13_18 100 0 1 486 1 1
NKLFACHH_00086 QCS47808.1|GH13_31 99.8 1.06e-306 14 419 0.969 1
NKLFACHH_00087 QAA21152.1|GH36 100 0 1 727 1 1
NKLFACHH_00091 AWV59846.1|GH4 99.5 0 1 436 1 1
NKLFACHH_00110 QAR74517.1|GH65 99.3 0 1 764 1 1
NKLFACHH_00139 QOJ75557.1|GH36 99.9 0 1 749 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
NKLFACHH_00088 3.A.1.1.28 75.3 5.4e-118 5 276 0.9855 0.7294 3 Primary Active Transporters 3.A P-P-bond-hydrolysis-driven transporters 3.A.1 The ATP-binding Cassette (ABC) Superfamily
NKLFACHH_00089 3.A.1.1.28 74.1 2.8e-125 1 290 1.0000 0.7692 3 Primary Active Transporters 3.A P-P-bond-hydrolysis-driven transporters 3.A.1 The ATP-binding Cassette (ABC) Superfamily