Evidence map›Paper›PMID 39910236›Full record

ArticleScientific reports2025

Codon usage patterns and genomic variation analysis of chloroplast genomes provides new insights into the evolution of Aroideae.

Xinbi Jia, Jiaqi Wei, Yuewen Chen, Chenghong Zeng, Chan Deng, Pengchen Zeng, Yufei Tang, Qinghong Zhou, Yingjin Huang, Qianglong Zhu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

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0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Comparative complete chloroplast genome analysis ofFrontiers in plant science · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Codon Usage Bias Analysis in the Chloroplast Genome ofCurrent issues in molecular biology · 2025
    Article
  14. Article
  15. Complete Chloroplast Genome Analysis ofPlants (Basel, Switzerland) · 2025
    Article
  16. Review
  17. Article
  18. Phylogenetic analysis of nineFrontiers in plant science · 2025
    Article
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

10 authors.

Xinbi JiaJiangxi Province Key Laboratory of Vegetable Cultivation and Utilization, Jiangxi Agricultural University, Nanchang, 330045, China.
Jiaqi WeiJiangxi Province Key Laboratory of Vegetable Cultivation and Utilization, Jiangxi Agricultural University, Nanchang, 330045, China.
Yuewen ChenJiangxi Province Key Laboratory of Vegetable Cultivation and Utilization, Jiangxi Agricultural University, Nanchang, 330045, China.
Chenghong ZengJiangxi Province Key Laboratory of Vegetable Cultivation and Utilization, Jiangxi Agricultural University, Nanchang, 330045, China.
Chan DengJiangxi Province Key Laboratory of Vegetable Cultivation and Utilization, Jiangxi Agricultural University, Nanchang, 330045, China.
Pengchen ZengJiangxi Province Key Laboratory of Vegetable Cultivation and Utilization, Jiangxi Agricultural University, Nanchang, 330045, China.
Yufei TangJiangxi Province Key Laboratory of Vegetable Cultivation and Utilization, Jiangxi Agricultural University, Nanchang, 330045, China.
Qinghong ZhouJiangxi Province Key Laboratory of Vegetable Cultivation and Utilization, Jiangxi Agricultural University, Nanchang, 330045, China.
Yingjin HuangJiangxi Province Key Laboratory of Vegetable Cultivation and Utilization, Jiangxi Agricultural University, Nanchang, 330045, China. yjhuang_cn@126.com.
Qianglong ZhuJiangxi Province Key Laboratory of Vegetable Cultivation and Utilization, Jiangxi Agricultural University, Nanchang, 330045, China. longzhu2011@126.com.

Funding

Jiangxi Key Research and Development Program Project 20212BBF61001Jiangxi Provincial Natural Science Foundation 20242BAB25381National Natural Science Foundation of China 32060683The Postdoctoral Research Funding program of Jiangxi Province 2021KY38
6 · The paper itself

Abstract

Aroideae is an important subfamily of the Araceae family and contains many plants with medicinal and edible value. It is difficult to identify and classify Aroideae species accurately on the basis of morphology alone because of their polymorphic phenotypic traits. The chloroplast genome (CPG) is useful for studying on plant taxonomy and phylogeny, and the analysis of codon usage bias (CUB) in CPGs provides further insights into the intricate phylogenetic relationships among Aroideae. The results showed that the codon third position of the chloroplast genome coding sequence in Aroideae was rich in A and T, with a GC content of 37.91%. The ENC-plot and PR2-plot revealed that the codon usage bias of Aroideae was influenced by multiple factors, with natural selection as the dominant factor. Thirteen to twenty optimal codons ending in A/T were identified in 61 Aroideae species. Additionally, the comparative analysis of CPGs revealed that two single copy regions and non-coding regions were variable in Aroideae. Eight highly divergent regions (Pi > 0.064) were identified (ndhF, rpl32, ccsA, ndhE, ndhG, ndhF-rpl32, ccsA-ndhD, and ndhE-ndhG) , in which ndhE have the potential to serve as a reliable DNA marker to discriminate chloroplasts in Aroideae subfamily. Furthermore, the maximum likelihood-based phylogenetic trees constructed from complete chloroplast genomes and protein-coding sequences presented similar topologies. Principal component clustering analysis based on relative synonymous codon usage values (RSCUs) revealed that Calla was clearly deviated from Montrichardia and Anubias, and that Alocasia was closer to Colocasieae than to Arisaemateae. These findings suggest that the use of RSCU for clustering analysis could offer new theoretical support for species classification and evolution. Our research could provide a theoretical foundation for the chloroplast genetic engineering, taxonomy, and phylogenetic relationships of Aroideae chloroplasts.

Indexed as

Codon UsageEvolution, MolecularGenetic VariationGenome, ChloroplastBase CompositionChloroplastsCodonPhylogenySelection, GeneticCodonAroideaeCodon usage biasComparative analysisComplete chloroplast genomePhylogenetic analysis

Identifiers

PMID39910236
PMCPMC11799533

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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.