Precise Species Identification by Whole-Genome Sequencing of Enterobacter Bloodstream Infection, China
Advanced Search
Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Help
Clear All

Query Builder

Query box

Help
Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Precise Species Identification by Whole-Genome Sequencing of Enterobacter Bloodstream Infection, China

Filetype[PDF-595.22 KB]


  • English

  • Details:

    • Alternative Title:
      Emerg Infect Dis
    • Description:
      The clinical importance of Enterobacter spp. remains unclear because phenotype-based Enterobacter species identification is unreliable. We performed a genomic study on 48 cases of Enterobacter-caused bloodstream infection by using in silico DNA-DNA hybridization to identify precise species. Strains belonged to 12 species; Enterobacter xiangfangensis (n = 21) and an unnamed species (taxon 1, n = 8) were dominant. Most (63.5%) Enterobacter strains (n = 349) with genomes in GenBank from human blood are E. xiangfangensis; taxon 1 (19.8%) was next most common. E. xiangfangensis and taxon 1 were associated with increased deaths (20.7% vs. 15.8%), lengthier hospitalizations (median 31 d vs. 19.5 d), and higher resistance to aztreonam, cefepime, ceftriaxone, piperacillin-tazobactam, and tobramycin. Strains belonged to 37 sequence types (STs); ST171 (E. xiangfangensis) was most common (n = 6). Four ST171 strains belonged to a defined clone. Precise species identification has greater implications for epidemiology and infection control than treatment.
    • Pubmed ID:
      33350909
    • Pubmed Central ID:
      PMC7774573
    • Document Type:
    • Place as Subject:
    • Main Document Checksum:
    • File Type:

    You May Also Like

    Checkout today's featured content at stacks.cdc.gov