4.7 Article

Efficient COI barcoding using high throughput single-end 400bp sequencing

Journal

BMC GENOMICS
Volume 21, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s12864-020-07255-w

Keywords

DNA barcode; High-throughput sequencing; MGISEQ-2000; SE400; COI; Biodiversity

Funding

  1. Chinese Postdoctoral Science Foundation [2019 M660051]
  2. Shenzhen Municipal Government of China [JCYJ20170817150755701]
  3. Shenzhen Peacock Plan [KQTD20150330171505310]
  4. China National Funds for Distinguished Young Scientists [31425023]

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BackgroundOver the last decade, the rapid development of high-throughput sequencing platforms has accelerated species description and assisted morphological classification through DNA barcoding. However, the current high-throughput DNA barcoding methods cannot obtain full-length barcode sequences due to read length limitations (e.g. a maximum read length of 300bp for the Illumina's MiSeq system), or are hindered by a relatively high cost or low sequencing output (e.g. a maximum number of eight million reads per cell for the PacBio's SEQUEL II system).ResultsPooled cytochrome c oxidase subunit I (COI) barcodes from individual specimens were sequenced on the MGISEQ-2000 platform using the single-end 400bp (SE400) module. We present a bioinformatic pipeline, HIFI-SE, that takes reads generated from the 5 and 3 ' ends of the COI barcode region and assembles them into full-length barcodes. HIFI-SE is written in Python and includes four function modules of filter, assign, assembly and taxonomy. We applied the HIFI-SE to a set of 845 samples (30 marine invertebrates, 815 insects) and delivered a total of 747 fully assembled COI barcodes as well as 70 Wolbachia and fungi symbionts. Compared to their corresponding Sanger sequences (72 sequences available), nearly all samples (71/72) were correctly and accurately assembled, including 46 samples that had a similarity score of 100% and 25 of ca. 99%.Conclusions The HIFI-SE pipeline represents an efficient way to produce standard full-length barcodes, while the reasonable cost and high sensitivity of our method can contribute considerably more DNA barcodes under the same budget. Our method thereby advances DNA-based species identification from diverse ecosystems and increases the number of relevant applications.

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