Evidence map›Paper›PMID 26998248›Full record

ReviewF1000Research2016

Towards understanding the evolution and functional diversification of DNA-containing plant organelles.

Dario Leister

Abstract readReview
In one paragraph

Review in F1000Research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
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.

Dario LeisterPlant Molecular Biology, Department Biology I, Ludwig-Maximilians-Universität, Planegg-Martinsried, 82152, Germany; Copenhagen Plant Science Center (CPSC), University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg C, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plastids and mitochondria derive from prokaryotic symbionts that lost most of their genes after the establishment of endosymbiosis. In consequence, relatively few of the thousands of different proteins in these organelles are actually encoded there. Most are now specified by nuclear genes. The most direct way to reconstruct the evolutionary history of plastids and mitochondria is to sequence and analyze their relatively small genomes. However, understanding the functional diversification of these organelles requires the identification of their complete protein repertoires - which is the ultimate goal of organellar proteomics. In the meantime, judicious combination of proteomics-based data with analyses of nuclear genes that include interspecies comparisons and/or predictions of subcellular location is the method of choice. Such genome-wide approaches can now make use of the entire sequences of plant nuclear genomes that have emerged since 2000. Here I review the results of these attempts to reconstruct the evolution and functions of plant DNA-containing organelles, focusing in particular on data from nuclear genomes. In addition, I discuss proteomic approaches to the direct identification of organellar proteins and briefly refer to ongoing research on non-coding nuclear DNAs of organellar origin (specifically, nuclear mitochondrial DNA and nuclear plastid DNA).

Indexed as

chloroplastmitochondrianuclear mitochondrial DNAnuclear plastid DNAphylogenomicsproteome

Identifiers

PMID26998248
PMCPMC4792205

What OpenQuestion holds

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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.