Evidence map›Paper›PMID 41365915›Full record

ArticleNature communications2025

Evolution of chromosomes and nuclear architectures of amniotes.

Jing Liu, Qi Zhou

Abstract read
In one paragraph

Article in Nature communications, 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

2 authors.

Jing LiuCenter for Reproductive Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Life Sciences Institute, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0000-0003-0420-1769
Qi ZhouCenter for Reproductive Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Life Sciences Institute, Zhejiang University, Hangzhou, China. zhouqi1982@zju.edu.cn.ORCID http://orcid.org/0000-0002-7419-2047

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromosomes of mammals and reptiles have diverged extensively in sequence and three-dimensional (3D) nuclear organization since their last common amniote ancestor. The fine-scale evolutionary patterns and mechanisms underlying this divergence and the relationship between chromosome rearrangements and 3D genome architecture remain unclear. Here we reconstruct ancestral linkage groups (ALGs) of the amniote ancestor and its descendent nodes using chromosome-level assemblies from 36 species, including two newly generated genomes. We infer that most microchromosomes originated in the jawed vertebrate ancestor were retained as distinct ALGs across all ancestral amniote nodes. They were mainly involved in fusions with each other in reptiles, but underwent frequent translocations with the larger ALGs (macro-ALGs) during the mammalian evolution. Despite extensive rearrangements, sequences derived from micro-ALGs consistently occupy nuclear interior positions in both reptiles and mammals, likely enriched near nuclear speckles, supported by published lamina-positioning data and our lamin-B1 ChIP-seq data. In contrast, mammals independently evolved interchromosomal interactions associated with lineage specific transposable elements, reflecting local innovations in nuclear architecture. Together, these results reveal contrasting rearrangement regimes in mammals and reptiles, yet a conserved higher-order nuclear organization linked to ancient micro- versus macro-ALG chromatin segregation, suggesting deep constraints on chromosome evolution.

Indexed as

Cell NucleusChromosomesEvolution, MolecularMammalsReptilesAnimalsDNA Transposable ElementsGenetic LinkageGenomePhylogenyDNA Transposable Elements

Identifiers

PMID41365915
PMCPMC12820338

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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.