Evidence map›Paper›PMID 33704433›Full record

ArticleGenetics2021

Detecting de novo mitochondrial mutations in angiosperms with highly divergent evolutionary rates.

Amanda K Broz, Gus Waneka, Zhiqiang Wu, Matheus Fernandes Gyorfy, Daniel B Sloan

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

16 citing papers in PubMed, 21 citations in OpenAlex.

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  8. Genome copy number predicts extreme evolutionary rate variation in plant mitochondrial DNA.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

5 authors at 2 institutions in 2 countries.

Amanda K BrozDepartment of Biology, Colorado State University, Fort Collins, CO 80523, USA.
Gus WanekaDepartment of Biology, Colorado State University, Fort Collins, CO 80523, USA.
Zhiqiang WuDepartment of Biology, Colorado State University, Fort Collins, CO 80523, USA.ORCID 0000-0002-4238-7317
Matheus Fernandes GyorfyDepartment of Biology, Colorado State University, Fort Collins, CO 80523, USA.
Daniel B SloanDepartment of Biology, Colorado State University, Fort Collins, CO 80523, USA.ORCID 0000-0002-3618-0897
Colorado State University · USAgricultural Genomics Institute at Shenzhen · CN

Funding

Causes of Extreme Mitochondrial Mutation Rate VariationR01GM118046 · NIGMS · COLORADO STATE UNIVERSITY · PI SLOAN, DANIEL BENJAMIN · 2017 to 2021
$1.5M
NIGMS NIH HHS R01 GM118046
6 · The paper itself

Abstract

Although plant mitochondrial genomes typically show low rates of sequence evolution, levels of divergence in certain angiosperm lineages suggest anomalously high mitochondrial mutation rates. However, de novo mutations have never been directly analyzed in such lineages. Recent advances in high-fidelity DNA sequencing technologies have enabled detection of mitochondrial mutations when still present at low heteroplasmic frequencies. To date, these approaches have only been performed on a single plant species (Arabidopsis thaliana). Here, we apply a high-fidelity technique (Duplex Sequencing) to multiple angiosperms from the genus Silene, which exhibits extreme heterogeneity in rates of mitochondrial sequence evolution among close relatives. Consistent with phylogenetic evidence, we found that Silene latifolia maintains low mitochondrial variant frequencies that are comparable with previous measurements in Arabidopsis. Silene noctiflora also exhibited low variant frequencies despite high levels of historical sequence divergence, which supports other lines of evidence that this species has reverted to lower mitochondrial mutation rates after a past episode of acceleration. In contrast, S. conica showed much higher variant frequencies in mitochondrial (but not in plastid) DNA, consistent with an ongoing bout of elevated mitochondrial mutation rates. Moreover, we found an altered mutational spectrum in S. conica heavily biased towards AT→GC transitions. We also observed an unusually low number of mitochondrial genome copies per cell in S. conica, potentially pointing to reduced opportunities for homologous recombination to accurately repair mismatches in this species. Overall, these results suggest that historical fluctuations in mutation rates are driving extreme variation in rates of plant mitochondrial sequence evolution.

Indexed as

Adaptation, BiologicalBiological EvolutionDNADNA, MitochondrialEvolution, MolecularGenomeGenome, MitochondrialGenome, PlantMagnoliopsidaMitochondriaMutationMutation RatePhylogenySequence Analysis, DNASileneDNADNA, MitochondrialDuplex Sequencinggenome copy numbermitogenomemutation rateSilene

Identifiers

PMID33704433
PMCPMC8128415
OpenAlexW3135296181

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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.