Literature DB >> 23755504

[Molecular identification and detection of moon jellyfish (Aurelia sp.) based on partial sequencing of mitochondrial 16S rDNA and COI].

Jian-Yan Wang1, Yu Zhen, Guo-shan Wang, Tie-Zhu Mi, Zhi-gang Yu.   

Abstract

Taking the moon jellyfish Aurelia sp. commonly found in our coastal sea areas as test object, its genome DNA was extracted, the partial sequences of mt-16S rDNA (650 bp) and mt-COI (709 bp) were PCR-amplified, and, after purification, cloning, and sequencing, the sequences obtained were BLASTn-analyzed. The sequences of greater difference with those of the other jellyfish were chosen, and eight specific primers for the mt-16S rDNA and mt-COI of Aurelia sp. were designed, respectively. The specificity test indicated that the primer AS3 for the mt-16S rDNA and the primer AC3 for the mt-COI were excellent in rapidly detecting the target jellyfish from Rhopilema esculentum, Nemopilema nomurai, Cyanea nozakii, Acromitus sp., and Aurelia sp., and thus, the techniques for the molecular identification and detection of moon jellyfish were preliminarily established, which could get rid of the limitations in classical morphological identification of Aurelia sp. , being able to find the Aurelia sp. in the samples more quickly and accurately.

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Year:  2013        PMID: 23755504

Source DB:  PubMed          Journal:  Ying Yong Sheng Tai Xue Bao        ISSN: 1001-9332


  1 in total

1.  Real-Time Jellyfish Classification and Detection Based on Improved YOLOv3 Algorithm.

Authors:  Meijing Gao; Yang Bai; Zhilong Li; Shiyu Li; Bozhi Zhang; Qiuyue Chang
Journal:  Sensors (Basel)       Date:  2021-12-06       Impact factor: 3.576

  1 in total

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