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Animal Bioresource in Japan

.: Home > Animal Bioresource in Japan > 2015 > Volume 64 Number 1 > Hong-Yan SONG, Bao-Feng QIU, Chun LIU, Shun-Xing ZHU, Sheng-Cun WANG, Jin MIAO, Jing JING, Yi-Xiang SHAO

Identification of causative pathogens in mouse eyes with bacterial keratitis by sequence analysis of 16S rDNA libraries

Hong-Yan SONG, Bao-Feng QIU, Chun LIU, Shun-Xing ZHU, Sheng-Cun WANG, Jin MIAO, Jing JING, Yi-Xiang SHAO
1)Laboratory Animal Center of Nantong University, No. 19 Qixiu Road, Chongchuan District, Nantong, Jiangsu 226001, P. R. China 2)Nantong Entry-Exit Inspection and Quarantine Bureau, No. 102 Chongchuan Road, Chongchuan District, Jiangsu 226004, P. R. China
Abstract :

The clone library method using PCR amplification of the 16S ribosomal RNA (rRNA) gene was used to identify pathogens from corneal scrapings of C57BL/6-corneal opacity (B6-Co) mice with bacterial keratitis. All 10 samples from the eyes with bacterial keratitis showed positive PCR results. All 10 samples from the normal cornea showed negative PCR results. In all 10 PCR-positive samples, the predominant and second most predominant species accounted for 20.9 to 40.6% and 14.7 to 26.1%, respectively, of each clone library. The predominant species were Staphylococcus lentus, Pseudomonas aeruginosa, and Staphylococcus epidermidis. The microbiota analysis detected a diverse group of microbiota in the eyes of B6-Co mice with bacterial keratitis and showed that the causative pathogens could be determined based on percentages of bacterial species in the clone libraries. The bacterial species detected in this study were mostly in accordance with results of studies on clinical bacterial keratitis in human eyes. Based on the results of our previous studies and this study, the B6-Co mouse should be considered a favorable model for studying bacterial keratitis.

Keywords :
bacteria, keratitis, mice, 16S rDNA

Date Deposited : 08 Apr 2015 09:40

Last Modified : 08 Apr 2015 09:40

Official URL: http://https://www.jstage.jst.go.jp/browse/expanim/62/1/_contents

Volume 64, Number 1, - 2015

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