ArticleBMC plant biology2026
Single-organelle DNA-sequencing of chloroplasts and mitochondria in Arabidopsis thaliana.
Article in BMC plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Editorial: Evolutionary dynamics, functional variation and application of plant organellar genomes.Frontiers in plant science · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Organelle genomes govern bioenergetics and stress responses, yet bulk sequencing masks heterogeneity. We establish single-organelle DNA-sequencing by adapting a droplet-based workflow to mitochondria and chloroplasts, using a sorbitol-based isolation that preserves organelles for encapsulation, amplification, and sorting. In Arabidopsis thaliana leaves, 313 of 384 single-organelle amplified genome libraries passed quality control (261 mitochondrial, 52 chloroplast). Genome coverage breadth at 1000 × sequencing depth showed medians of 59.5% and 84.5%, with maxima of 97.2% and 100%. Read-depth profiles were more fragmented for mitochondria and more uniform for chloroplasts, consistent with mitochondrial heterogeneity. This workflow enables analyses of recombination, rearrangements, and heteroplasmy.
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Registered trials
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.