Impact of plasmids and genetic change on the numerical classification of staphylococci.
Newly isolated bacterial strains often contain extrachromosomal DNA as plasmid DNA. These accessory components of the DNA gene pool confer additional phenotypic properties on their host but, despite this, little attention has been paid to the impact of plasmid-mediated characters on bacterial classification. In the present study, the effect of antibiotic resistance plasmids on the classification of representative staphylococci was determined using numerical phenetic techniques. Over sixty percent of the eighty-one test strains contained one or more plasmids which varied in molecular weight from 1.4 to 36 Mdal. Antibiotic resistance phenotypes were eliminated from strains of S. aureus, S. chromogenes, S. cohnii, S. hyicus and S. xylosus, and from a laboratory isolate, to give sixteen derivative strains. Fourteen had lost one or more plasmids and two had deleted plasmids. In addition three further derivative strains were isolated which showed no plasmid loss but exhibited gross phenotypic changes. The test and derivative strains were the subject of numerical phenetic analyses based on seventy-eight unit characters. Data were examined using the simple matching, Jaccard and pattern coefficients and clustering achieved using the unweighted pair group method with arithmetic averages algorithm. Cluster composition was not markedly affected by the statistics used or by test error, estimated at 1.02%. Numerically circumscribed clusters and subclusters were equated with the established species S. aureus, S. chromogenes, S. cohnii, S. hyicus, S. lentus, S. intermedius, S. sciuri and S. xylosus. The sixteen derivative strains with either lost or delected plasmids were recovered in the same cluster or subcluster as their corresponding parent indicating that the removal of plasmid-expressed characters had little effect on the structure of the numerical classification. In contrast, two of the three strains of S. xylosus with genomically-derived phenotypic variation formed a cluster that separated from their parent strain at the 70% similarity level in the SSM, UPGMA analysis.
Goodfellow
M
M
Department of Microbiology, Medical School, Newcastle upon Tyne, England, U.K.
Harwood
C R
CR
Nahaie
M R
MR
D000818:Animals; D006801:Humans; D010641:Phenotype; D010957:Plasmids; D012984:Software; D013210:Staphylococcus / Q000145:classification* / Q000235:genetics