Evidence map›Paper›PMID 39762048›Full record

ArticleGenome research2025

Hierarchical architecture of neo-sex chromosomes and accelerated adaptive evolution in tortricid moths.

Fangyuan Yang, Li-Jun Cao, Petr Nguyen, Zhong-Zheng Ma, Jin-Cui Chen, Wei Song, Shu-Jun Wei

Abstract read
In one paragraph

Article in Genome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Fangyuan YangInstitute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.ORCID 0000-0002-8435-3326
Li-Jun CaoInstitute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Petr NguyenBiology Centre of the Czech Academy of Sciences, Institute of Entomology, 370 05 Ceske Budejovice, Czech Republic.
Zhong-Zheng MaInstitute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Jin-Cui ChenInstitute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Wei SongInstitute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Shu-Jun WeiInstitute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; shujun268@163.com.ORCID 0000-0001-7398-0968

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sex chromosomes can expand through fusion with autosomes, thereby acquiring unique evolutionary patterns. In butterflies and moths (Lepidoptera), these sex chromosome-autosome (SA) fusions occur relatively frequently, suggesting possible evolutionary advantages. Here, we investigated how SA fusion affects chromosome features and molecular evolution in leafroller moths (Lepidoptera: Tortricidae). Phylogenomic analysis showed that Tortricidae diverged ∼124 million years ago, accompanied by an SA fusion between the Merian elements M(20 + 17) and MZ. In contrast to partial autosomal fusions, the fused neo-Z Chromosome developed a hierarchical architecture, in which the three elements exhibit heterogeneous sequence features and evolutionary patterns. Specifically, the M17 part had a distinct base composition and chromatin domains. Unlike M20 and MZ, M17 was expressed at the same levels as autosomes in both sexes, compensating for the lost gene dosage in females. Concurrently, the SA fusion drove M17 as an evolutionary hotspot, accelerating the evolution of several genes related to ecological adaptation (e.g.,

Indexed as

Chromosomes, InsectEvolution, MolecularMothsSex ChromosomesAnimalsFemaleMalePhylogeny

Identifiers

PMID39762048
PMCPMC11789632

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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.