Evidence map›Paper›PMID 33502509›Full record

ArticleMolecular biology and evolution2021

Genomics Reveals the Origins of Historical Specimens.

Qian Cong, Jinhui Shen, Jing Zhang, Wenlin Li, Lisa N Kinch, John V Calhoun, Andrew D Warren, Nick V Grishin

Abstract readEvaluation Study
In one paragraph

Article in Molecular biology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. A taxonomic overview of theThe taxonomic report of the International Lepidoptera Survey · 2026
    Article
  2. Genomic analysis reveals new subspecies ofThe taxonomic report of the International Lepidoptera Survey · 2026
    Article
  3. Butterfly taxa discovery via genomic analysis.The taxonomic report of the International Lepidoptera Survey · 2026
    Article
  4. Three butterfly genera across the Central Texas Suture Zone.The taxonomic report of the International Lepidoptera Survey · 2026
    Article
  5. Notable Hesperiidae collected by Kilian Roever in Arizona, USA.The taxonomic report of the International Lepidoptera Survey · 2025
    Article
  6. New butterfly taxa and findings from genomic analyses.The taxonomic report of the International Lepidoptera Survey · 2025
    Article
  7. Article
  8. Update to: New butterfly taxa and findings from genomic analyses.The taxonomic report of the International Lepidoptera Survey · 2025
    Article
  9. Advancing butterfly systematics through genomic analysis.The taxonomic report of the International Lepidoptera Survey · 2025
    Article
  10. Article
  11. Article
  12. What one genus of showy moths can say about migration, adaptation, and wing pattern.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  13. Article
  14. New taxa of butterflies supported by genomic analysis.The taxonomic report of the International Lepidoptera Survey · 2024
    Article
  15. Taxonomic advances driven by the genomic analysis of butterflies.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

8 authors.

Qian CongEugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Jinhui ShenDepartment of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Jing ZhangDepartment of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Wenlin LiDepartment of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Lisa N KinchDepartment of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX, USA.
John V CalhounMcGuire Center for Lepidoptera and Biodiversity, Florida Museum of Natural History, University of Florida, Gainesville, FL, USA.
Andrew D WarrenMcGuire Center for Lepidoptera and Biodiversity, Florida Museum of Natural History, University of Florida, Gainesville, FL, USA.
Nick V GrishinDepartment of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX, USA.

Funding

Computational analysis of proteinsR35GM127390 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI GRISHIN, NICK V. · 2018 to 2022
$1.5M
NIGMS NIH HHS R35 GM127390
6 · The paper itself

Abstract

Centuries of zoological studies have amassed billions of specimens in collections worldwide. Genomics of these specimens promises to reinvigorate biodiversity research. However, because DNA degrades with age in historical specimens, it is a challenge to obtain genomic data for them and analyze degraded genomes. We developed experimental and computational protocols to overcome these challenges and applied our methods to resolve a series of long-standing controversies involving a group of butterflies. We deduced the geographical origins of several historical specimens of uncertain provenance that are at the heart of these debates. Here, genomics tackles one of the greatest problems in zoology: countless old specimens that serve as irreplaceable embodiments of species concepts cannot be confidently assigned to extant species or population due to the lack of diagnostic morphological features and clear documentation of the collection locality. The ability to determine where they were collected will resolve many on-going disputes. More broadly, we show the utility of applying genomics to historical museum specimens to delineate the boundaries of species and populations, and to hypothesize about genotypic determinants of phenotypic traits.

Indexed as

Adaptation, BiologicalAltitudeAnimalsButterfliesDNA, AncientGenomicsPigmentationDNA, Ancientancient DNAbiodiversitygeolocationmuseomicstaxonomy

Identifiers

PMID33502509
PMCPMC8097301

What OpenQuestion holds

Textmetadata
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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.