Evidence map›Paper›PMID 33276723›Full record

ArticleBMC genomics2020

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

Chentao Yang, Yuxuan Zheng, Shangjin Tan, Guanliang Meng, Wei Rao, Caiqing Yang, David G Bourne, Paul A O'Brien, Junqiang Xu, Sha Liao and 5 more

Abstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Water Chemistry and Habitat Size Predict Spawning Success in EndangeredAnimals : an open access journal from MDPI · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Development of mitochondrial DNA cytochromeBiodiversity data journal · 2024
    Article
  7. Article
  8. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Chentao YangBGI-Shenzhen, Shenzhen, 518083, China.
Yuxuan ZhengCollege of Life Sciences, Capital Normal University, Beijing, 100048, China.
Shangjin TanBGI-Shenzhen, Shenzhen, 518083, China.
Guanliang MengBGI-Shenzhen, Shenzhen, 518083, China.
Wei RaoBGI-Shenzhen, Shenzhen, 518083, China.
Caiqing YangCollege of Life Sciences, Capital Normal University, Beijing, 100048, China.
David G BourneCollege of Science and Engineering, James Cook University, Townsville, QLD, Australia.
Paul A O'BrienCollege of Science and Engineering, James Cook University, Townsville, QLD, Australia.
Junqiang XuBGI-Shenzhen, Shenzhen, 518083, China.
Sha LiaoBGI-Shenzhen, Shenzhen, 518083, China.
Ao ChenBGI-Shenzhen, Shenzhen, 518083, China.
Xiaowei ChenBGI-Shenzhen, Shenzhen, 518083, China.
Xinrui JiaCollege of Life Sciences, Capital Normal University, Beijing, 100048, China.
Ai-Bing ZhangCollege of Life Sciences, Capital Normal University, Beijing, 100048, China. zhangab2008@mail.cnu.edu.cn.
Shanlin LiuBGI-Shenzhen, Shenzhen, 518083, China. shanlin1115@gmail.com.

Funding

China National Funds for Distinguished Young Scientists 31425023Chinese Postdoctoral Science Foundation 2019M660051Shenzhen Municipal Government of China NO. JCYJ20170817150755701Shenzhen Peacock Plan No. KQTD20150330171505310
6 · The paper itself

Abstract

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 300 bp 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 400 bp (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%.

conclusionsThe 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.

Indexed as

DNA Barcoding, TaxonomicEcosystemAnimalsDNAHigh-Throughput Nucleotide SequencingInsectaDNABiodiversityCOIDNA barcodeHigh-throughput sequencingMGISEQ-2000SE400

Identifiers

PMID33276723
PMCPMC7716423

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.