Evidence map›Paper›PMID 32572078›Full record

ArticleScientific reports2020

An integrative DNA barcoding framework of ladybird beetles (Coleoptera: Coccinellidae).

Weidong Huang, Xiufeng Xie, Lizhi Huo, Xinyue Liang, Xingmin Wang, Xiaosheng Chen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

15 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. A Review of the Beetle GenusZoological studies · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Cryptic Diversity inPathogens (Basel, Switzerland) · 2021
    Article
  14. Article
  15. 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

6 authors at 2 institutions in 1 country.

Weidong HuangGuangdong Key Laboratory for Innovative Development and Utilization of Forest Plant Germplasm; Department of Forest Protection, College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, 510640, China.
Xiufeng XieGuangdong Agriculture Industry Business Polytechnic College, Guangzhou, 510507, China.
Lizhi HuoGuangzhou Institute of Forestry and Landscape Architecture, Guangzhou, 510405, China.
Xinyue LiangGuangdong Key Laboratory for Innovative Development and Utilization of Forest Plant Germplasm; Department of Forest Protection, College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, 510640, China.
Xingmin WangKey Laboratory of Bio-Pesticide Innovation and Application, Guangdong Province; Engineering Technology Research Center of Agricultural Pest Biocontrol, Guangdong Province, Engineering Research Center of Biological Control, Ministry of Education, Guangzhou, 510640, China.
Xiaosheng ChenGuangdong Key Laboratory for Innovative Development and Utilization of Forest Plant Germplasm; Department of Forest Protection, College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, 510640, China. xshchen@scau.edu.cn.
Key Laboratory of Guangdong Province · CNGuangdong Academy of Forestry · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Even though ladybirds are well known as economically important biological control agents, an integrative framework of DNA barcoding research was not available for the family so far. We designed and present a set of efficient mini-barcoding primers to recover full DNA barcoding sequences for Coccinellidae, even for specimens collected 40 years ago. Based on these mini-barcoding primers, we obtained 104 full DNA barcode sequences for 104 species of Coccinellidae, in which 101 barcodes were newly reported for the first time. We also downloaded 870 COI barcode sequences (658 bp) from GenBank and BOLD database, belonging to 108 species within 46 genera, to assess the optimum genetic distance threshold and compare four methods of species delimitation (GMYC, bPTP, BIN and ABGD) to determine the most accurate approach for the family. The results suggested the existence of a 'barcode gap' and that 3% is likely an appropriate genetic distance threshold to delimit species of Coccinellidae using DNA barcodes. Species delimitation analyses confirm ABGD as an accurate and efficient approach, more suitable than the other three methods. Our research provides an integrative framework for DNA barcoding and descriptions of new taxa in Coccinellidae. Our results enrich DNA barcoding public reference libraries, including data for Chinese coccinellids. This will facilitate taxonomic identification and biodiversity monitoring of ladybirds using metabarcoding.

Indexed as

AnimalsColeopteraDatabases, GeneticDNA Barcoding, TaxonomicDNA PrimersPhylogenyPolymerase Chain ReactionDNA Primers

Identifiers

PMID32572078
PMCPMC7308296
OpenAlexW3036299006

What OpenQuestion holds

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LicenceCC BY
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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.