Literature DB >> 30784950

Barcoding for diatoms in the Yangtze River from the morphological observation and 18S rDNA polymorphic analysis.

Zheng Li1, Xiaorong Liu2, Yanfang Yu1, Huijie Huang1, Xingling Li1, Qiang Ji1, Kai Li1, Youjia Yu1, Ding Li1, Zhengsheng Mao1, Yan Pu3, Peng Chen4, Feng Chen5.   

Abstract

In forensic science, the determination of diatoms bears several goals, for example to estimate the post mortem interval (PMI), to determine the cause of death of a corpse found in water as well as to further locate the suspected drowning site. However, to identify diatoms using morphological method beyond the genus level is difficult and requires expert knowledge. During the last decade, a new concept of DNA barcode is becoming a promising approach to identify the taxa of diatoms. In the present study, we performed a diatom morphological analysis covering 10 different water areas in Nanjing section of the Yangtze River. The diatoms were classified to the 'genus' level by using optical microscope and electron microscope. According to the morphological study results, we further designed and analyzed the 18S rDNA sequences as barcodes at the 'species' level. Our study established the morphological and DNA barcoding profile for the diatoms in Nanjing section of the Yangtze River for the first time which will be of great significance for the using of diatoms in forensic application. The results indicated that detailed analysis of selected diatom DNA barcodes can be used as a useful tool for forensic applications.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  DNA barcode; Diatom; Drowning; Forensic; Nanjing; Yangtze River

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Substances:

Year:  2019        PMID: 30784950     DOI: 10.1016/j.forsciint.2019.01.028

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  2 in total

1.  An efficient method for building a database of diatom populations for drowning site inference using a deep learning algorithm.

Authors:  Ji Zhang; Yuanyuan Zhou; Duarte Nuno Vieira; Yongjie Cao; Kaifei Deng; Qi Cheng; Yongzheng Zhu; Jianhua Zhang; Zhiqiang Qin; Kaijun Ma; Yijiu Chen; Ping Huang
Journal:  Int J Legal Med       Date:  2021-01-03       Impact factor: 2.686

Review 2.  Research advances in forensic diatom testing.

Authors:  Yuanyuan Zhou; Yongjie Cao; Jiao Huang; Kaifei Deng; Kaijun Ma; Tianye Zhang; Liqin Chen; Ji Zhang; Ping Huang
Journal:  Forensic Sci Res       Date:  2020-03-23
  2 in total

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