Evidence map›Paper›PMID 27326375›Full record

ArticlePeerJ2016

Development of a cost-effective metabarcoding strategy for analysis of the marine phytoplankton community.

Tae-Ho Yoon, Hye-Eun Kang, Chang-Keun Kang, Sang Heon Lee, Do-Hwan Ahn, Hyun Park, Hyun-Woo Kim

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.3field-weighted citation impact, top 6% of its field
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

5 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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

7 authors at 4 institutions in 1 country.

Tae-Ho YoonInterdiciplinary Program of Biomedical Engineering, Pukyong National University , Busan , Republic of Korea.
Hye-Eun KangDepartment of Marine Biology, Pukyong National University , Busan , South Korea.
Chang-Keun KangSchool of Earth Science & Environmental Engineering, Gwangju Institute of Science and Technology , Gwangju , Republic of Korea.
Sang Heon LeeDepartment of Oceanography, Pusan National University , Busan , South Korea.
Do-Hwan AhnDivision of Polar Life Sciences, Korea Polar Research Institute , Incheon , South Korea.
Hyun ParkKorea Polar Research Institute, Korea Ocean Research and Development Institute , Incheon , Republic of Korea.
Hyun-Woo KimInterdiciplinary Program of Biomedical Engineering, Pukyong National University, Busan, Republic of Korea; Department of Marine Biology, Pukyong National University, Busan, South Korea.
Pukyong National University · KRKorea Polar Research Institute · KRGwangju Institute of Science and Technology · KRPusan National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed a cost-effective metabarcoding strategy to analyze phytoplankton community structure using the Illumina MiSeq system. The amplicons (404-411 bp) obtained by end-pairing of two reads were sufficiently long to distinguish algal species and provided barcode data equivalent to those generated with the Roche 454 system, but at less than 1/20th of the cost. The original universal primer sequences targeting the 23S rDNA region and the PCR strategy were both modified, and this resulted in higher numbers of eukaryotic algal sequences by excluding non-photosynthetic proteobacterial sequences supporting effectiveness of this strategy. The novel strategy was used to analyze the phytoplankton community structure of six water samples from the East/Japan Sea: surface and 50 m depths at coastal and open-sea sites, with collections in May and July 2014. In total, 345 operational taxonomic units (OTUs) were identified, which covered most of the prokaryotic and eukaryotic algal phyla, including Dinophyta, Rhodophyta, Ochrophyta, Chlorophyta, Streptophyta, Cryptophyta, Haptophyta, and Cyanophyta. This highlights the importance of plastid 23S primers, which perform better than the currently used 16S primers for phytoplankton community surveys. The findings also revealed that more efforts should be made to update 23S rDNA sequences as well as those of 16S in the databases. Analysis of algal proportions in the six samples showed that community structure differed depending on location, depth and season. Across the six samples evaluated, the numbers of OTUs in each phylum were similar but their relative proportions varied. This novel strategy would allow laboratories to analyze large numbers of samples at reasonable expense, whereas this has not been possible to date due to cost and time. In addition, we expect that this strategy will generate a large amount of novel data that could potentially change established methods and tools that are currently used in the realms of oceanography and marine ecology.

Indexed as

BarcodeGenomicsNext-generation sequencingOceanographyPhytoplankton

Identifiers

PMID27326375
PMCPMC4911951
OpenAlexW2436347764

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.