RRC ID 70144
著者 Yu Z, Xu Q, Xiao C, Li H, Wu W, Du W, Zhao J, Liu H, Wang H, Liu C.
タイトル SYBR Green real-time qPCR method: Diagnose drowning more rapidly and accurately.
ジャーナル Forensic Sci Int
Abstract In the field of drowning research, the method of diatom morphology has been most applied to determine whether the cause of death is drowning. However, the characteristics of complex operation, high level of professional knowledge drive us to propose a new method. Here, based on the common phytoplankton in water(such as diatoms and Aeromonas), aiming at the rbcL, 23 S, NIES, rPOD, Hly and preprotoxin aerolysin gene, we designed 6 pairs of specific primers and applied SYBR Green real-time qPCR(RT-qPCR) method to detect phytoplankton in the Pearl River Basin of Guangdong Province, China, so as to achieve the purpose of diagnosing drowning. After the experimental verification of the corresponding algae species and the standard strains of bacteria, as well as the verification of tissue samples (lung, liver and kidney) of 56 cases( 40 drowning cases and 16 non-drowning cases), we found that these primers were of great accuracy and tedious laboratory work of diatom test was reduced. Based on the advantages of high throughput, short period and high sensitivity, this RT-qPCR method is expected to diagnose drowning more rapidly and accurately.
巻・号 321
ページ 110720
公開日 2021-4-1
DOI 10.1016/j.forsciint.2021.110720
PII S0379-0738(21)00040-2
PMID 33639416
MeSH Aeromonas / genetics* Benzothiazoles Cyanobacteria / genetics* DNA Primers* Diamines Diatoms / genetics* Drowning / diagnosis* Fluorescent Dyes Humans Kidney / pathology Liver / pathology Lung / pathology Quinolines Real-Time Polymerase Chain Reaction
IF 2.108
リソース情報
藻類 NIES-23