Evidence map›Paper›PMID 41885210›Full record

ArticleNucleic acids research2026

The birth, death, and evolutionary compensation of uORFs in Drosophila.

Mengze Xu, Chenlu Liu, Wanting Jin, Yuanqiang Sun, Yuange Duan, Xiaolu Tang, Jian Lu

Abstract read
In one paragraph

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

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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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.

Mengze XuState Key Laboratory of Gene Function and Modulation Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China.ORCID 0009-0007-5202-2737
Chenlu LiuState Key Laboratory of Gene Function and Modulation Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China.ORCID 0000-0002-8993-0145
Wanting JinState Key Laboratory of Gene Function and Modulation Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China.
Yuanqiang SunState Key Laboratory of Gene Function and Modulation Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China.
Yuange DuanState Key Laboratory of Gene Function and Modulation Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China.ORCID 0000-0003-2311-9859
Xiaolu TangState Key Laboratory of Gene Function and Modulation Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China.
Jian LuState Key Laboratory of Gene Function and Modulation Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China.ORCID 0000-0002-4409-1667

Funding

Ministry of Science and Technology of the People's Republic of China 2022YFE0132000National Natural Science Foundation of China 32070597Natural Science Foundation of Beijing 5212006Yunnan Provincial Science and Technology Project 202302A0370006
6 · The paper itself

Abstract

Upstream open reading frames (uORFs) are critical regulators of messenger RNA translation, yet their evolutionary dynamics remain poorly understood. Here, we analyze uORF evolution across Drosophila species and uncover pervasive birth-death turnover. This process is characterized by a persistent excess of upstream start codon (uATG) gains over losses, shaped by the interplay of mutational input and natural selection. We find that the evolutionary conservation of uATGs is strongly associated with translational evidence, indicating a tight coupling between uORF retention and translational output. Lineage-specific uATGs are linked to reduced translation of downstream coding sequences, revealing lineage-dependent regulatory effects. We further identify evolutionary compensation between uATG gain and loss events within genes, supported by functional assays demonstrating frequent and condition-dependent effects on translation. At the population level, canonical uORF variants show signatures of population-specific selection, suggesting a role for uORF turnover in local adaptation. Together, our results reveal how natural selection, translational regulation, and evolutionary turnover jointly shape the uORF landscape in Drosophila.

Indexed as

DrosophilaEvolution, MolecularOpen Reading FramesProtein BiosynthesisAnimalsCodon, InitiatorMutationSelection, GeneticCodon, Initiator

Identifiers

PMID41885210
PMCPMC13019311

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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.