Evidence map›Paper›PMID 30877254›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Genomes of skipper butterflies reveal extensive convergence of wing patterns.

Wenlin Li, Qian Cong, Jinhui Shen, Jing Zhang, Winnie Hallwachs, Daniel H Janzen, Nick V Grishin

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
13.3field-weighted citation impact, top 1% 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

59 citing papers in PubMed, 118 citations in OpenAlex.

  1. Monotypic genera: uninformative, but sometimes necessary.Cladistics : the international journal of the Willi Hennig Society · 2026
    Review
  2. A taxonomic overview of theThe taxonomic report of the International Lepidoptera Survey · 2026
    Article
  3. Three butterfly genera across the Central Texas Suture Zone.The taxonomic report of the International Lepidoptera Survey · 2026
    Article
  4. Butterfly taxa discovery via genomic analysis.The taxonomic report of the International Lepidoptera Survey · 2026
    Article
  5. Genomic analysis reveals new subspecies ofThe taxonomic report of the International Lepidoptera Survey · 2026
    Article
  6. Article
  7. Article
  8. Notable Hesperiidae collected by Kilian Roever in Arizona, USA.The taxonomic report of the International Lepidoptera Survey · 2025
    Article
  9. Article
  10. New butterfly taxa and findings from genomic analyses.The taxonomic report of the International Lepidoptera Survey · 2025
    Article
  11. Advancing butterfly systematics through genomic analysis.The taxonomic report of the International Lepidoptera Survey · 2025
    Article
  12. Article
  13. Article
  14. Taxonomic advances driven by the genomic analysis of butterflies.The taxonomic report of the International Lepidoptera Survey · 2024
    Article
  15. New taxa of butterflies supported by genomic analysis.The taxonomic report of the International Lepidoptera Survey · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 2 institutions in 1 country.

Wenlin LiDepartment of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX 75390-9050.
Qian CongDepartment of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX 75390-9050.
Jinhui ShenDepartment of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX 75390-9050.
Jing ZhangDepartment of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX 75390-9050.
Winnie HallwachsDepartment of Biology, University of Pennsylvania, Philadelphia, PA 19104.
Daniel H JanzenDepartment of Biology, University of Pennsylvania, Philadelphia, PA 19104; grishin@chop.swmed.edu djanzen@sas.upenn.edu.
Nick V GrishinDepartment of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX 75390-9050; grishin@chop.swmed.edu djanzen@sas.upenn.edu.
The University of Texas Southwestern Medical Center · USUniversity of Pennsylvania · US

Funding

Computational methods for structural-functional studies of proteinsR01GM094575 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI GRISHIN, NICK V. · 2010 to 2017
$2.4M
Computational analysis of proteinsR35GM127390 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI GRISHIN, NICK V. · 2018 to 2022
$1.5M
NIGMS NIH HHS R01 GM094575NIGMS NIH HHS R35 GM127390
6 · The paper itself

Abstract

For centuries, biologists have used phenotypes to infer evolution. For decades, a handful of gene markers have given us a glimpse of the genotype to combine with phenotypic traits. Today, we can sequence entire genomes from hundreds of species and gain yet closer scrutiny. To illustrate the power of genomics, we have chosen skipper butterflies (Hesperiidae). The genomes of 250 representative species of skippers reveal rampant inconsistencies between their current classification and a genome-based phylogeny. We use a dated genomic tree to define tribes (six new) and subtribes (six new), to overhaul genera (nine new) and subgenera (three new), and to display convergence in wing patterns that fooled researchers for decades. We find that many skippers with similar appearance are distantly related, and several skippers with distinct morphology are close relatives. These conclusions are strongly supported by different genomic regions and are consistent with some morphological traits. Our work is a forerunner to genomic biology shaping biodiversity research.

Indexed as

Genome, InsectGenotypePhylogenyAnimalsBiodiversityBiological MimicryButterfliesComputational BiologyGenomicsLepidopteraMultigene FamilyPhenotypeSpecies SpecificityWings, Animalgenomicshigher classificationLepidopteramimicrytaxonomy

Identifiers

PMID30877254
PMCPMC6442542
OpenAlexW2922510034

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.