Evidence map›Paper›PMID 26811761›Full record

ArticleEcology and evolution2015

A simulation study of sample size for DNA barcoding.

Arong Luo, Haiqiang Lan, Cheng Ling, Aibing Zhang, Lei Shi, Simon Y W Ho, Chaodong Zhu

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

19 citing papers in PubMed, 41 citations in OpenAlex.

  1. Prospects for Complete DNA Barcode Coverage of the New Zealand Insect Fauna.Journal of the Royal Society of New Zealand · 2026
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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 5 institutions in 2 countries.

Arong LuoKey Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing 100101 China.
Haiqiang LanKey Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing 100101 China; School of Statistics and Mathematics Yunnan University of Finance and Economics Kunming 650221 China.
Cheng LingDepartment of Computer Science and Technology College of Information Science and Technology Beijing University of Chemical Technology Beijing 100029 China.
Aibing ZhangCollege of Life Sciences Capital Normal University Beijing 100048 China.
Lei ShiSchool of Statistics and Mathematics Yunnan University of Finance and Economics Kunming 650221 China.
Simon Y W HoSchool of Biological Sciences University of Sydney Sydney New South Wales 2006 Australia.
Chaodong ZhuKey Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing 100101 China; College of Life Sciences University of Chinese Academy of Sciences Beijing 100049 China.
Chinese Academy of Sciences · CNYunnan University of Finance And Economics · CNBeijing University of Chemical Technology · CNCapital Normal University · CNUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For some groups of organisms, DNA barcoding can provide a useful tool in taxonomy, evolutionary biology, and biodiversity assessment. However, the efficacy of DNA barcoding depends on the degree of sampling per species, because a large enough sample size is needed to provide a reliable estimate of genetic polymorphism and for delimiting species. We used a simulation approach to examine the effects of sample size on four estimators of genetic polymorphism related to DNA barcoding: mismatch distribution, nucleotide diversity, the number of haplotypes, and maximum pairwise distance. Our results showed that mismatch distributions derived from subsamples of ≥20 individuals usually bore a close resemblance to that of the full dataset. Estimates of nucleotide diversity from subsamples of ≥20 individuals tended to be bell-shaped around that of the full dataset, whereas estimates from smaller subsamples were not. As expected, greater sampling generally led to an increase in the number of haplotypes. We also found that subsamples of ≥20 individuals allowed a good estimate of the maximum pairwise distance of the full dataset, while smaller ones were associated with a high probability of underestimation. Overall, our study confirms the expectation that larger samples are beneficial for the efficacy of DNA barcoding and suggests that a minimum sample size of 20 individuals is needed in practice for each population.

Indexed as

Coalescencehaplotypemaximum pairwise distancemismatch distributionnucleotide diversity

Identifiers

PMID26811761
PMCPMC4717336
OpenAlexW2185465224

What OpenQuestion holds

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LicenceCC BY
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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.