Evidence map›Paper›PMID 34930424›Full record

ArticleGenome biology2021

The economics of organellar gene loss and endosymbiotic gene transfer.

Steven Kelly

Abstract read
In one paragraph

Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

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  5. Comprehensive Analysis of the Complete Mitochondrial Genomes ofInternational journal of molecular sciences · 2026
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  16. Extensive import of nucleus-encoded tRNAs into chloroplasts of the photosynthetic lycophyte,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

1 author.

Steven KellyDepartment of Plant Sciences, University of Oxford, South Parks Road, Oxford, OX1 3RB, UK. steven.kelly@plants.ox.ac.uk.ORCID 0000-0001-8583-5362

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe endosymbiosis of the bacterial progenitors of the mitochondrion and the chloroplast are landmark events in the evolution of life on Earth. While both organelles have retained substantial proteomic and biochemical complexity, this complexity is not reflected in the content of their genomes. Instead, the organellar genomes encode fewer than 5% of the genes found in living relatives of their ancestors. While many of the 95% of missing organellar genes have been discarded, others have been transferred to the host nuclear genome through a process known as endosymbiotic gene transfer.

resultsHere, we demonstrate that the difference in the per-cell copy number of the organellar and nuclear genomes presents an energetic incentive to the cell to either delete organellar genes or transfer them to the nuclear genome. We show that, for the majority of transferred organellar genes, the energy saved by nuclear transfer exceeds the costs incurred from importing the encoded protein into the organelle where it can provide its function. Finally, we show that the net energy saved by endosymbiotic gene transfer can constitute an appreciable proportion of total cellular energy budgets and is therefore sufficient to impart a selectable advantage to the cell.

conclusionThus, reduced cellular cost and improved energy efficiency likely played a role in the reductive evolution of mitochondrial and chloroplast genomes and the transfer of organellar genes to the nuclear genome.

Indexed as

Genome, ChloroplastGenome, MitochondrialArabidopsisBacteriaCell NucleusChloroplastsGene Transfer, HorizontalGenome, PlantHost Microbial InteractionsMitochondriaProteomicsSymbiosisChloroplastEndosymbiosisGene loss endosymbiotic gene transferMitochondrionOrganellar genome

Identifiers

PMID34930424
PMCPMC8686548

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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.