Evidence map›Paper›PMID 41922463›Full record

ArticleScientific reports2026

Codon usage patterns and phylogenetic analysis of chloroplast genomes reveal evolutionary insights into Asphodelaceae species.

Kun Zhang, Ken Li, Jiaying Feng, Wanying Liu, Jiayin Feng, Weiqiang Fan, Xiaofei Shan

Abstract read
In one paragraph

Article in Scientific reports, 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

7 authors.

Kun Zhang *College of Agriculture and Life Sciences, Shanxi Datong University, Datong, Shanxi, China. 876828320@qq.com.
Ken Li *State Key Laboratory of Vegetable Biobreeding, Tianjin Academy of Agricultural Sciences, Tianjin, China.
Jiaying FengCollege of Agriculture and Life Sciences, Shanxi Datong University, Datong, Shanxi, China.
Wanying LiuCollege of Agriculture and Life Sciences, Shanxi Datong University, Datong, Shanxi, China.
Jiayin FengCollege of Agriculture and Life Sciences, Shanxi Datong University, Datong, Shanxi, China.
Weiqiang FanState Key Laboratory of Vegetable Biobreeding, Tianjin Academy of Agricultural Sciences, Tianjin, China.
Xiaofei ShanCollege of Agriculture and Life Sciences, Shanxi Datong University, Datong, Shanxi, China.

Funding

Applied Basic Research Program of Datong Science and Technology 2025078Key Research and Development Program of Datong Science and Technology 2024014National College Students' Innovation and Entrepreneurship Training Program XDC2024003
6 · The paper itself

Abstract

The phenomenon of codon usage bias (CUB) is prevalent across various genomes and offers critical insights into the molecular genetic evolution of organisms, as well as their adaptive strategies. Comparative analyses of CUB in chloroplast (cp.) genomes further deepen our understanding of the intricate phylogenetic relationships across taxonomic groups. The Asphodelaceae family, a globally distributed plant group with significant ecological and economic value, has been extensively applied in traditional medicine, landscape beautification, and nutritional supplementation. In this study, we systematically analyzed the codon usage patterns and phylogenetic relationships of 13 diverse Asphodelaceae species based on their cp. genomes. Our findings indicated that both base composition and codon usage preferences were highly similar among the 13 cp. genomes examined. The Asphodelaceae species displayed a pronounced bias toward A/T-rich nucleotides and A/T-ending codons; notably, the corresponding values of the effective number of codons (ENC) were in the range of 35–61, indicative of a relatively weak CUB in this family. Each species contained 30 identical high-frequency codons and 13–18 individual optimal codons, presenting a striking prevalence of terminating in A/T nucleotides. The findings from the ENC plot, neutrality plot, and parity rule 2 plot analyses augmented the inference that both natural selection and mutation pressure exert influence on the codon usage patterns of Asphodelaceae species. Correlation analysis indicated a significant association between codon bias indicators and genomic nucleotide composition (particularly GC3), suggesting that compositional constraints correlate with and may underlie the observed CUB patterns. In addition, the genetic relationships inferred from the relative synonymous codon usage (RSCU) values were basically consistent with the phylogenetic topology derived from the cp. protein-coding genes. All taxa within the studied genera of the Asphodelaceae family exhibited strong phylogenetic clustering, thereby confirming that species with closer evolutionary relationships tend to share more similar codon usage preferences. This finding illustrates that RSCU-based clustering analysis can effectively supplement sequence-based phylogenetics in elucidating evolutionary relationships among species at the family level. The CUB of cp. genomes in Asphodelaceae plants is relatively weak and is subject to the combined effects of multiple factors. All taxa within the studied genera of the Asphodelaceae family have been confirmed to be closely related to each other in terms of their evolutionary relationships as well as the codon usage patterns of their cp. genomes. This study elucidates the codon usage patterns of Asphodelaceae species and enhances the understanding of codon biology and genetic evolution across a diverse range of organisms.

Indexed as

Codon UsageEvolution, MolecularGenome, ChloroplastPhylogenyBase CompositionCodonCodonAsphodelaceae speciesChloroplast genomeCodon usage biasComparative analysisPhylogenetic relationships

Identifiers

PMID41922463
PMCPMC13187277

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.