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Molecular Identification of Sarcosaphagous Flies in Luoyang Based on 28S rRNA Gene Sequence / 法医学杂志
Journal of Forensic Medicine ; (6): 114-119, 2018.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-692392
Responsible library: WPRO
ABSTRACT
Objective To detect 715 bp sequence of 28S rRNA in sarcosaphagous flies, and to identify their common species for solving the problem of morphological identification, as well as providing technical support for postmortem interval (PMI) estimation. Methods Twenty-nine common sarcosaphagous flies were collected in Luoyang and classified by morphological characteristics. The DNA was extracted from the fly's legs by Chelex-100 method and then the fragments of 28S rRNA were amplified and sequenced. The results were compared with twenty-eight corresponding fly species of GenBank and EMBL databases. All the sequences were analyzed by MEGA7.0 software, and sequence alignment was performed by the searching in BLAST. The nucleotide composition was analysed, and the intraspecific and interspecific ge-netic distance and phylogenetic tree were established. Results Twenty-nine sarcosaphagous flies were classified into 6 species of 5 genera, 3 families by morphological characteristics. In the obtained 715 bp sequence of 28S rRNA , the comparison result of online BLAST showed that the similarity was 100%. Five species were well clustered by a phylogenetic tree. Between different groups, the interspecific and intraspecific differences ranged from 0.007 to 0.045 and 0 to 0.001, respectively. Conclusion The 28S rRNA target gene sequences shows a good identification capability, which can be a new genetic marker for the identification of sarcosaphagous flies.

Full text: Available Database: WPRIM (Western Pacific) Type of study: Diagnostic study / Prognostic study Language: Chinese Journal: Journal of Forensic Medicine Year: 2018 Document type: Article
Full text: Available Database: WPRIM (Western Pacific) Type of study: Diagnostic study / Prognostic study Language: Chinese Journal: Journal of Forensic Medicine Year: 2018 Document type: Article
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