ArticleJournal of microbiological methods2017
Multiplex polymerase chain reaction for identification of Escherichia coli, Escherichia albertii and Escherichia fergusonii.
Article in Journal of microbiological methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed, 92 citations in OpenAlex.
- Prevalence and characteristics of Escherichia albertii and Escherichia fergusonii isolates from healthy farm animals in Japan.The Journal of veterinary medical science · 2026Article
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- First report ofASM case reports · 2025Article
- Evaluation of a novel modified selective medium cefixime-tellurite-phosphate-xylose-rhamnose MacConkey agar for the isolation of Escherichia albertii from diarrheal stool specimens.The Journal of veterinary medical science · 2025Article
- Genomic characterization of multidrug-resistantFrontiers in microbiology · 2025Article
- Isolation and Detection of the Emerging PathogenMicroorganisms · 2024Article
- Differential Cytotoxic Effects of Cell-Free Supernatants of Emerging PathogensMicroorganisms · 2024Article
- Novel multiplex-PCR test forMicrobiology spectrum · 2024Article
- Detection of prolong excretion ofHeliyon · 2024Article
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- Gut bacterial metabolism contributes to host global purine homeostasis.Cell host & microbe · 2023Article
- First case report of pustules associated with Escherichia fergusonii in the chinese pangolin (Manis pentadactyla aurita).BMC veterinary research · 2023Article
- Efflux Pumps and Different Genetic Contexts ofInternational journal of molecular sciences · 2023Article
- Identification and Genomic Characterization ofPathogens (Basel, Switzerland) · 2022Article
- Migratory birds as the vehicle of transmission of multi drug resistant extended spectrum β lactamase producingSaudi journal of biological sciences · 2022Article
- Microbiology and Epidemiology ofMicroorganisms · 2022Review
- Relationship between Escherichia coli virulence factors, notably kpsMTII, and symptoms of clinical metritis and endometritis in dairy cows.The Journal of veterinary medical science · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Escherichia coli, Escherichia albertii, and Escherichia fergusonii are closely related bacteria that can cause illness in humans, such as bacteremia, urinary tract infections and diarrhea. Current identification strategies for these three species vary in complexity and typically rely on the use of multiple phenotypic and genetic tests. To facilitate their rapid identification, we developed a multiplex PCR assay targeting conserved, species-specific genes. We used the Daydreamer™ (Pattern Genomics, USA) software platform to concurrently analyze whole genome sequence assemblies (WGS) from 150 Enterobacteriaceae genomes (107 E. coli, 5 Shigella spp., 21 E. albertii, 12 E. fergusonii and 5 other species) and design primers for the following species-specific regions: a 212bp region of the cyclic di-GMP regulator gene (cdgR, AW869_22935 from genome K-12 MG1655, CP014225) for E. coli/Shigella; a 393bp region of the DNA-binding transcriptional activator of cysteine biosynthesis gene (EAKF1_ch4033 from genome KF1, CP007025) for E. albertii; and a 575bp region of the palmitoleoyl-acyl carrier protein (ACP)-dependent acyltransferase (EFER_0790 from genome ATCC 35469, CU928158) for E. fergusonii. We incorporated the species-specific primers into a conventional multiplex PCR assay and assessed its performance with a collection of 97 Enterobacteriaceae strains. The assay was 100% sensitive and specific for detecting the expected species and offers a quick and accurate strategy for identifying E. coli, E. albertii, and E. fergusonii in either a single reaction or by in silico PCR with sequence assemblies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.