Evidence map›Paper›PMID 41645059›Full record

ArticleBMC genomics2026

Genomes of N

Jeff Elhai

Abstract read
In one paragraph

Article in BMC genomics, 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

1 author.

Jeff Elhai, Richmond, USA. elhaij@vcu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe projected 2.7-fold increase in population in sub-Saharan Africa by the end of the century demands consideration as to how agricultural output can keep pace. Augmenting nitrogen inputs is a practical necessity, but this must be accomplished in such a way that avoids the environmental costs of past advances and also places the resource in the hands of those who will be the most affected. Biological nitrogen fixation might play an important role. The realization that certain algae are able to provide for their own nitrogen needs by fixing atmospheric N

resultsGenomes from six endosymbionts from diatoms within the family Rhopalodiaceae were analyzed. They were compared to genomes from free-living cyanobacteria and to those of the nitroplast UCYN-A and chromatophore from Paulinella, to which they are related. Unlike the latter two endosymbionts, the six from Rhopalodia encode all the enzymes considered that underlie metabolic processes and provide the energy to power N-fixation. Some of the endosymbionts also appear able to synthesize cofactors essential for central metabolism. The analysis points to possible carbon sources the endosymbionts might take up from their hosts, including glycerol and chitobiose. Possible routes of nitrogen export to the host were also examined.

conclusionsWithin the limits of genome analysis, some of the Rhopalodian endosymbionts appear to be metabolically independent of their hosts, except for requiring a carbon source. However, the choice of carbon source and the likely means of nitrogen export are not compatible with crop plants. Genetic modification would surely be necessary for any prospect of propagation of an endosymbiont in a plant of agricultural importance, and significant questions must first be answered in the laboratory. To this end, the endosymbiont of Epithemia clementina may be best suited for such investigations, eventually after transfer to the model diatom Phaeodactyllum tricornutum.

Indexed as

DiatomsGenomeGenomicsNitrogen FixationSymbiosisCyanobacteriaNitrogenPhylogenyNitrogenCarbon transportEndosymbiosisEvolutionMetabolismNitrogen fixationNitrogen transportSymbiosis

Identifiers

PMID41645059
PMCPMC12903740

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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.