Evidence map›Paper›PMID 36849744›Full record

ArticleRice (New York, N.Y.)2023

Mutational Bias and Natural Selection Driving the Synonymous Codon Usage of Single-Exon Genes in Rice (Oryza sativa L.).

Huan Hu, Boran Dong, Xiaoji Fan, Meixia Wang, Tingzhang Wang, Qingpo Liu

Open access · goldAbstract read
In one paragraph

Article in Rice (New York, N.Y.), 2023. 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
2.9field-weighted citation impact, top 9% of its field
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, 17 citations in OpenAlex.

  1. Genomic diversity at thePlant diversity · 2026
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  9. Comparative analysis of codon usage patterns ofFrontiers in microbiology · 2023
    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

6 authors at 2 institutions in 1 country.

Huan Hu *The Key Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province, College of Advanced Agricultural Sciences, Zhejiang A & F University, Lin'an, Hangzhou, 311300, People's Republic of China.
Boran Dong *The Key Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province, College of Advanced Agricultural Sciences, Zhejiang A & F University, Lin'an, Hangzhou, 311300, People's Republic of China.
Xiaoji FanThe Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, 310012, People's Republic of China.
Meixia WangThe Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, 310012, People's Republic of China.
Tingzhang WangThe Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, 310012, People's Republic of China. wtz8615@tkgeneclub.com.
Qingpo LiuThe Key Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province, College of Advanced Agricultural Sciences, Zhejiang A & F University, Lin'an, Hangzhou, 311300, People's Republic of China. liuqp@zafu.edu.cn.ORCID http://orcid.org/0000-0002-6249-5796
Zhejiang A & F University · CNZhejiang University of Technology · CN

Funding

Key Project of Zhejiang Provincial Natural Science Foundation of China LZ19B070001National Natural Science Foundation of China 31972959
6 · The paper itself

Abstract

The relative abundance of single-exon genes (SEGs) in higher plants is perplexing. Uncovering the synonymous codon usage pattern of SEGs will benefit for further understanding their underlying evolutionary mechanism in plants. Using internal correspondence analysis (ICA), we reveal a significant difference in synonymous codon usage between SEGs and multiple-exon genes (MEGs) in rice. But the effect is weak, accounting for only 2.61% of the total codon usage variability. SEGs and MEGs contain remarkably different base compositions, and are under clearly differential selective constraints, with the former having higher GC content, and evolving relatively faster during evolution. In the group of SEGs, the variability in synonymous codon usage among genes is partially due to the variations in GC content, gene function, and gene expression level, which accounts for 22.03%, 5.99%, and 3.32% of the total codon usage variability, respectively. Therefore, mutational bias and natural selection should work on affecting the synonymous codon usage of SEGs in rice. These findings may deepen our knowledge for the mechanisms of origination, differentiation and regulation of SEGs in plants.

Indexed as

Codon usage biasMutation biasNatural selectionRiceSingle-exon gene

Identifiers

PMID36849744
PMCPMC9971424
OpenAlexW4322421614

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.