Evidence map›Paper›PMID 41820338›Full record

ArticleNature communications2026

Patterns and determinants of mitogenomic evolution in Bilateria.

Ivan Jakovlić, Yi-Wen Ma, Tong Ye, Rui Han, Xiang Liu, Chuan-Yu Xiang, Hong Zou, Jin Zhang, Rui Song, Wen-Xiang Li and 6 more

Abstract read
In one paragraph

Article in Nature communications, 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

16 authors.

Ivan JakovlićState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, and College of Ecology, Lanzhou University, Lanzhou, Gansu, China.ORCID http://orcid.org/0000-0002-2461-3712
Yi-Wen MaState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, and College of Ecology, Lanzhou University, Lanzhou, Gansu, China.
Tong YeState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, and College of Ecology, Lanzhou University, Lanzhou, Gansu, China.
Rui HanState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, and College of Ecology, Lanzhou University, Lanzhou, Gansu, China.
Xiang LiuState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, and College of Ecology, Lanzhou University, Lanzhou, Gansu, China.ORCID http://orcid.org/0000-0002-9422-9492
Chuan-Yu XiangState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, and College of Ecology, Lanzhou University, Lanzhou, Gansu, China.
Hong ZouKey Laboratory of Aquaculture Disease Control, Ministry of Agriculture, and State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei, China.
Jin ZhangBio-Transduction Lab, Wuhan, Hubei, China.
Rui SongHunan Fisheries Research Institute and Aquatic Products Seed Stock Station, Changsha, Hunan, China.
Wen-Xiang LiKey Laboratory of Breeding Biotechnology and Sustainable Aquaculture (CAS), Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.
Gui-Tang WangKey Laboratory of Aquaculture Disease Control, Ministry of Agriculture, and State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei, China.
Yindong TongSchool of Environmental Science and Engineering, Tianjin University, Tianjin, China.ORCID http://orcid.org/0000-0002-0503-6585
Fei LiuInstitute of Aquatic Sciences, Xizang Autonomous Region Academy of Agricultural and Animal Husbandry Sciences, Lhasa, Tibet, China.
Benhe ZengInstitute of Aquatic Sciences, Xizang Autonomous Region Academy of Agricultural and Animal Husbandry Sciences, Lhasa, Tibet, China.
Jinsong ChenState Key Laboratory of Biocontrol and School of Life Sciences, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Guangdong Provincial Key Laboratory for Aquatic Economic Animals, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Dong ZhangState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, and College of Ecology, Lanzhou University, Lanzhou, Gansu, China. dongzhang0725@gmail.com.ORCID http://orcid.org/0000-0002-0902-6704

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32173020National Natural Science Foundation of China (National Science Foundation of China) 32360927
6 · The paper itself

Abstract

Mitochondrial genomes of some animals remained almost unchanged architecturally for over half a billion of years, while other lineages exhibit conspecific variability. The drivers underlying this disparity remain unknown. We analyse over 10,000 bilaterian mitogenomes to test whether locomotory capacity and parasitic lifestyle can explain the variability in architectural evolutionary rates, and attempt to answer multiple other evolutionary questions. Double-stranded (genes on both strands) architecture is the most likely ancestral state for most major radiations (phylum and above). We identify over twenty transitions to single-stranded architectures, and the evidence of state-reversals (in Annelida and Mollusca). Gene order rearrangement and sequence evolution rates are positively correlated (r = 0.69), and both are increased in single-stranded mitogenomes, parasites, and species with low locomotory capacity. The latter two categories exhibit increased prevalence of single-strandedness and GC skew inversions. Mitogenome size is negatively correlated with evolutionary rates, whereas the effective population size is decoupled from all tested evolutionary variables. Endotherms exhibit slower evolutionary rates than ectotherms in Bilateria, but faster in Chordata. Here, we provide evidence that purifying selection mediated by locomotory capacity and species ecology is a major driver of mitogenomic architectural evolution, but other variables are required to fully explain the observed patterns.

Indexed as

Evolution, MolecularGenome, MitochondrialAnimalsDNA, MitochondrialPhylogenyDNA, Mitochondrial

Identifiers

PMID41820338
PMCPMC13121602

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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.