Evidence map›Paper›PMID 41984235›Full record

ArticlePlanta2026

GC content variation in angiosperm genomes reveals GC-biased gene conversion.

Qing Xian, Liu Yang, Yuan Wang, Wei Zhang

Abstract read
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In one paragraph

Article in Planta, 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
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0citing papers in PubMed
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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

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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

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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

4 authors.

Qing Xian *Marine College, Shandong University, Weihai, 264209, Shandong, China.
Liu Yang *Marine College, Shandong University, Weihai, 264209, Shandong, China.
Yuan WangMarine College, Shandong University, Weihai, 264209, Shandong, China.
Wei ZhangMarine College, Shandong University, Weihai, 264209, Shandong, China. wzhang@sdu.edu.cn.ORCID http://orcid.org/0000-0001-6389-8274

Funding

National Natural Science Foundation of China 82173936
6 · The paper itself

Abstract

MAIN

conclusionThis study reveals the diversity of GC content characteristics among major angiosperm groups, with Poaceae species exhibiting significantly higher GC content and more pronounced heterogeneity. These features are likely associated with GC-biased gene conversion. Genome nucleotide composition critically shapes plant genetic diversity, yet its variation across angiosperms remains poorly understood. Here, we conducted a multilevel GC analysis across 495 angiosperm genomes (spanning 109 families, 44 orders; 284 species with annotated coding genes). Using SeqKit, we quantified GC content at whole-genome, chromosomal, gene, and codon scales, while estimating recombination rates with mlRho v2.9. We found that angiosperm GC content approximates a normal distribution (mean 36.64%) but varies markedly among lineages: monocots (41.97%) > eudicots (35.43%), with Poaceae highest (44.64%). Coding-region GC (mean 46.38%) exceeded genomic levels, showing maximal variation at the third codon position (GC3; mean 46.22%; up to 63.63% in Poaceae). Gene-level GC distributions shifted from unimodal to distinctly bimodal patterns-evident in Poaceae-reflecting divergence between high- and low-GC genes. Notably, GC content correlated positively with both chromosome length and recombination rate. These patterns are consistent with GC-biased gene conversion (gBGC) as a key driver of GC diversity in angiosperms, operating neutrally and locally across genomic scales, independent of phylogeny.

Indexed as

Gene ConversionGenome, PlantMagnoliopsidaBase CompositionCodonEvolution, MolecularGenetic VariationPhylogenyCodonAngiospermsCoding genegBGCGC contentGenome

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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.