Evidence map›Paper›PMID 41871350›Full record

ArticleSystematic biology2026

Genomic Signatures of Speciation in Butterflies.

Qian Cong, Jing Zhang, Nick V Grishin

Abstract read
In one paragraph

Article in Systematic biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Butterfly taxa discovery via genomic analysis.The 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. Three butterfly genera across the Central Texas Suture Zone.The taxonomic report of the International Lepidoptera Survey · 2026
    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

3 authors.

Qian CongEugene McDermott Center For Human Growth & Development, University of Texas Southwestern Medical Center, USA.ORCID 0000-0002-8909-0414
Jing ZhangEugene McDermott Center For Human Growth & Development, University of Texas Southwestern Medical Center, USA.ORCID 0000-0003-4190-3065
Nick V GrishinDepartments of Biophysics and Biochemistry, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, Texas 75390-8816, USA.

Funding

Harnessing the Power of Data and Artificial Intelligence to Resolve the Human 3D InteractomeR35GM160468 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI Qian Cong · 2025 to 2026
$883k
NIGMS NIH HHS R35 GM160468
6 · The paper itself

Abstract

The classification of organisms into species is fundamental to the study of life. Contrary to popular belief, simple and quantitative standards for species delineation are often lacking, and debates about species boundaries create obstacles for conservation biology, agriculture, legislation, and education. We chose butterflies as a model system to address this key biological question. We sequenced and analyzed transcriptomes of 186 butterfly specimens representing 25 pairs of species, representing close but clearly distinct species, conspecific populations, and taxa with debated relationships. We found that species are robustly separated from conspecific populations by the combination of two measures computed on Z-linked genes: a fixation index, which detects genetic gaps between species, and the extent of gene flow, which quantifies reproductive isolation. Applying these criteria suggest that all nine butterfly pairs with debated relationships are distinct species, not populations or subspecies. Furthermore, we found that elevated divergence and positive selection in proteins involved in DNA interaction, circadian clock, pheromone sensing, development, and immune response recurrently correlate with speciation. A significant fraction of these divergent proteins are encoded by the Z chromosome, which appears to be more resistant to introgression than autosomes. Taken together, our findings point to potential common speciation mechanisms in butterflies, provide additional support for the important role of the Z chromosome in speciation, and suggest quantitative criteria for species delimitation, which is vital for the exploration of biodiversity.

Indexed as

classificationintrogressionreproductive barriersex chromosomessuture zone

Identifiers

PMID41871350
PMCPMC13281826

What OpenQuestion holds

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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.