Evidence map›Paper›PMID 42800822›Full record

ArticleHeredity2026

Genome-wide comparative analysis reveals distinct evolutionary patterns of overlapping genes in prokaryotes and eukaryotes.

Limei Liu, Chang Liu, Hui Wang, Xiaolan Rao

Abstract read
PubMed Publisher
In one paragraph

Article in Heredity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Limei LiuState Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, China.
Chang LiuState Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, China.
Hui WangState Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, China.
Xiaolan RaoState Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, China. xiaolan.rao@hubu.edu.cn.ORCID http://orcid.org/0000-0001-7939-8362

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Overlapping genes are widely distributed across the genomes of nearly all living organisms. Although thousands of overlapping genes have been identified and studied in several species, a comprehensive annotation of these genes is lacking, and the forces shaping their evolution remain poorly understood. Here, we present a comparative analysis of overlapping genes in 253 prokaryotic genomes, 115 plant genomes, and 111 animal genomes. We find that co-oriented overlapping genes predominate in prokaryotes, whereas nested overlapping genes are the most common type in eukaryotes. In prokaryotes, overlapping genes are significantly shorter than non-overlapping genes, and 69% of co-oriented overlaps occur in translational phase 2. The number of overlapping genes is strongly correlated with genome size in prokaryotes but not in eukaryotes. We estimated the rates at which overlapping genes are gained and lost over evolutionary time and found that loss of overlapping orthologs is the highest rate in eukaryotes, whereas the highest rate in prokaryotes is the gain of overlapping genes from adjacent genes. Expression analyses revealed that, compared with neighboring genes, nested genes exhibit lower expression levels, altered expression correlations, and higher tissue-specific expression patterns in selected eukaryotic species. Based on these patterns, we propose distinct models to explain the evolutionary pressures acting on overlapping genes in prokaryotes and eukaryotes. Together, our findings provide new insights into the evolution of overlapping genes.

Identifiers

What OpenQuestion holds

Textmetadata
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.