Phylogenetic monitoring of Escherichia coli in medical wastewater/Baghdad City
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Abstract
Clean drinking water access is a main factor that supports general health worldwide, where important investment is made to maintain water quality. The gene sequence of 16S rRNA was applied to study bacterial phylogenesis and classification. This study
aimed to isolate new bacterial strains from wastewater environments. Thisstudy collected water samples from different
wastewater sites for Baghdad Medical City’s Hospital. The results of Vitek 2Compact were with a probability of99% for
Escherichia coli isolates .The bacterial isolates were identified using Polymerase chain reaction (PCR) based on the universal
diagnostic gene 16SrRNA, and the PCR product was obtained with a molecular weight of 1250bp. The PCR productsequencing
showed 166 isolates of E. coli different from the isolates registered in the NCBI database of E. coli after alignment between them.
The present study reported 16 Iraqi isolates in NCBI with an accession number: OM032663.1; OM 032664.1; OM294659.2;
ON724178.1; ON724264.1; ON724331.1; ON725076.1; ON725091.1; ON725139.1; ON725141.1; ON739200.1; ON739201.1;
ON739207.1; ON739208.1; ON739209.1; ON739211.1. The identity was then observed(96-100%) with strains in Gene Bank.
There were many different sequence position substitutions (transition, deletion, transversionfor the registered local isolates when
conducting multiple alignments and comparing themwith the isolates in the Gene Bank. According to the phylogenetic tree
building by joining-the neighbor method, the local Iraqi isolates clustered into sub-descents. Moreover, local isolates of E.coli
appeared more convergent to Saudi Arabia isolates (KY780347.1). This may be due to the geographical proximity of the two countries to the same Arab Gulf region .The present study identified 16 isolates of E. coli from the Iraqi aquatic environment (medical wastewater). The novelty of this study was represented to monitoring the evolution of E. coli in medical wastewater.
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Antibiotics, Escherichia coli, Genetic detection, Multi-Drug Resistance, Tigris River
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