Skip to content
naulon
Not checkedNot checked for notices yet.

Isolation and identification of potentially pathogenic free-living amoeba in dental-unit water samples

Hadi Khatoonaki, Kavous Solhjoo, Hassan Rezanezhad and 3 more

Journal of Water and Health · 2022

doi:10.2166/wh.2022.097 (opens in a new tab)

We email you when a new notice or a question about this paper appears.

Abstract

Although the presence of free-living amoebae (FLAs) in various water sources has been reported, few studies have been surveyed on their abundance in medical-unit and dental-unit water samples. The current study aimed to identify morphological and molecular characteristics of FLA isolates in the water samples of the dental unit in Iran. A total of 232 water samples were collected from 17 dental units. Then, filtration and cultivation were conducted on a non-nutrient agar (NNA) medium. Also, polymerase chain reaction (PCR) assay and sequencing were performed by using the genus/species-specific primers plus a common primer set on positive samples. One hundred and sixty-six samples were positive for FLA by the microscopic method, whereas 114 samples were positive by the molecular method with a common primer set. Considering the PCR assay with genus/species-specific primers, 23.27% (54/232) samples were identified as Acanthamoeba spp. (belonging to T4 genotype), 36.63% (85/232) as Vermamoeba vermiformis, and 1.72% (4/232) as Vahlkampfiidae family (Naegleria lovaniensis). These results highlight a need to improve filtration systems in dental units and periodic screenings for FLA in dental-unit water. HIGHLIGHTS Among 232 water samples of the dental unit, 166 samples were positive for FLA by the microscopic method, whereas 114 samples were positive by the molecular method with a common primer set.; Considering the PCR, 23.27% (54/232) samples were identified as Acanthamoeba spp. (belonging to T4 genotype), 36.63% (85/232) as Vermamoeba vermiformis, and 1.72% (4/232) as Vahlkampfiidae family (Naegleria lovaniensis).;

Abstract licence: CC BY-ND

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.