Huang Zhenzhou, Yu Keyi, Wang Yonglu, Li Ying, Gao He, Bai Xuemei, Xiao Yue, Lai Jiulian, Li Kun, Wang Duochun. Distribution and molecular characterization of Shewanella in China[J]. Disease Surveillance, 2023, 38(4): 384-390. DOI: 10.3784/jbjc.202212300556
Citation: Huang Zhenzhou, Yu Keyi, Wang Yonglu, Li Ying, Gao He, Bai Xuemei, Xiao Yue, Lai Jiulian, Li Kun, Wang Duochun. Distribution and molecular characterization of Shewanella in China[J]. Disease Surveillance, 2023, 38(4): 384-390. DOI: 10.3784/jbjc.202212300556

Distribution and molecular characterization of Shewanella in China

  •   Objective  To explore the distribution and molecular epidemiological characteristics genetic evolution of Shewanella in China and provide evidence for epidemiological surveillance and evolution research of Shewanella.
      Methods  The identification of Shewanella species was performed by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) combined with gyrB gene sequencing. Multilocus sequence typing (MLST) was performed using seven housekeeping genes (16S rRNA, gyrA, gyrB, infB, recN, rpoA and topA). A minimal spanning tree was constructed for each sequence type (ST) by using software BioNumerics 7.1.
      Results  The 201 Shewanella isolates collected in China were identified as 10 different species, with S. algae accounting for the largest proportion. There were differences in the distribution of Shewanella among the isolated from different sources, the distribution of S. algae from clinical and food sources was similar. MLST can classified the Shewanella isolates into 136 STs, clonal complex 12 (CC12) was the dominant clonal complexes of S. algae.
      Conclusion  The rich pathogenic spectrum of Shewanella distributed in China suggests that the genetic diversity of these strains is high.
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