Nomenclature Abstract for Klebsiella planticola Bagley et al. 1982.

2003 ◽  
Author(s):  
Charles Thomas Parker ◽  
Sarah Wigley ◽  
George M Garrity
2002 ◽  
Vol 44 (1) ◽  
pp. 31-37 ◽  
Author(s):  
J.L. Allende ◽  
A. Gibello ◽  
A. Fortún ◽  
M. Sánchez ◽  
M. Martín

1981 ◽  
Vol 6 (2) ◽  
pp. 105-109 ◽  
Author(s):  
Susan T. Bagley ◽  
Ramon J. Seidler ◽  
Don J. Brenner

2002 ◽  
Vol 68 (7) ◽  
pp. 3462-3466 ◽  
Author(s):  
Masashi Kanki ◽  
Tomoko Yoda ◽  
Teizo Tsukamoto ◽  
Tadayoshi Shibata

ABSTRACT Histamine fish poisoning is caused by histamine-producing bacteria (HPB). Klebsiella pneumoniae and Klebsiella oxytoca are the best-known HPB in fish. However, 22 strains of HPB from fish first identified as K. pneumoniae or K. oxytoca by commercialized systems were later correctly identified as Raoultella planticola (formerly Klebsiella planticola) by additional tests. Similarly, five strains of Raoultella ornithinolytica (formerly Klebsiella ornithinolytica) were isolated from fish as new HPB. R. planticola and R. ornithinolytica strains were equal in their histamine-producing capabilities and were determined to possess the hdc genes, encoding histidine decarboxylase. On the other hand, a collection of 61 strains of K. pneumoniae and 18 strains of K. oxytoca produced no histamine.


2013 ◽  
Vol 726-731 ◽  
pp. 1085-1088
Author(s):  
Xue Long Chen ◽  
Xiao Long Wang

a risk model to assess the environmental risk of wastewater from the traditional Chinese medicine manufacturers was set to cope with the increasing pollution. The Klebsiella planticola was selected as the indicator because of the sensitive reaction of its mass growth, the highest correlationship(r=0.989) with significance (P=0.001<0.01) along with the change of the wastewater’s concentrations and the perfect coefficient of fitting function (R2=1). The dose-effective relationship among microbial indicator and pollutants, which was analyzed and verified, was adopted to generate a fitting function. The fitting function equation was y=-0.945x4+0.971x3+0.314x2-0.114x +0.301; Thus, different risk levels were divided: No risk (0.2973≤OD600≤0.3010), Low risk (0.3010<OD600<0.4325, 0.1505<OD600<0.2973), Medium risk (0.4325≤OD600<0.5640, 0.1505≤OD600<0), High risk (0.5640≤OD600, OD600≤0.000). The sensitivity and precision of the risk assessment model could be guaranteed by the characteristics of the microbial indicator


2004 ◽  
Vol 66 (5) ◽  
pp. 589-596 ◽  
Author(s):  
Mariela S�nchez ◽  
Carlos Garbi ◽  
Roberto Mart�nez-�lvarez ◽  
Luis T. Ortiz ◽  
Jos� Luis Allende ◽  
...  

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