Evidence map›Paper›PMID 33327935›Full record

ArticleBMC genomics2020

Analysis of codon usage patterns in citrus based on coding sequence data.

Zenan Shen, Zhimeng Gan, Fa Zhang, Xinyao Yi, Jinzhi Zhang, Xiaohua Wan

Abstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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.

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3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Article
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  3. Distinct codon usage signatures reflecting evolutionary and pathogenic adaptation in the Acinetobacter baumannii complex.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Article
  4. Codon Usage Bias of the Polyphenol Oxidase Genes inPlants (Basel, Switzerland) · 2025
    Article
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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.

Zenan ShenHigh Performance Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China.
Zhimeng GanKey Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry Science, Huazhong Agricultural University, Wuhan, 430070, China.
Fa ZhangHigh Performance Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China.
Xinyao YiDepartment of Computer Science and Engineering, University of South Carolina, Colombia, 29201, USA.
Jinzhi ZhangKey Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry Science, Huazhong Agricultural University, Wuhan, 430070, China.
Xiaohua WanHigh Performance Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China. wanxiaohua@ict.ac.cn.

Funding

Beijing Municipal Natural Science Foundation Grant L182053Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund the second phasethe National Key Research and Development Program of China 2017YFA0504702the National Key Research and Development Program of China 2017YFE0103900the NSFC projects Grant 61672493the NSFC projects Grant 61932018the NSFC projects Grant U1611261the NSFC projects Grant U1611263the Strategic Priority Research Program of the Chinese Academy of Sciences Grant XDA19020400
6 · The paper itself

Abstract

backgroundCodon usage is an important determinant of gene expression levels that can help us understand codon biology, evolution and mRNA translation of species. The majority of previous codon usage studies have focused on single species analysis, although few studies have focused on the species within the same genus. In this study, we proposed a multispecies codon usage analysis workflow to reveal the genetic features and correlation in citrus.

resultsOur codon usage analysis workflow was based on the GC content, GC plot, and relative synonymous codon usage value of each codon in 8 citrus species. This approach allows for the comparison of codon usage bias of different citrus species. Next, we performed cluster analysis and obtained an overview of the relationship in citrus. However, traditional methods cannot conduct quantitative analysis of the correlation. To further estimate the correlation among the citrus species, we used the frequency profile to construct feature vectors of each species. The Pearson correlation coefficient was used to quantitatively analyze the distance among the citrus species. This result was consistent with the cluster analysis.

conclusionsOur findings showed that the citrus species are conserved at the genetic level and demonstrated the existing genetic evolutionary relationship in citrus. This work provides new insights into codon biology and the evolution of citrus and other plant species.

Indexed as

CitrusCodon UsageBase CompositionCodonEvolution, MolecularOpen Reading FramesCodonCitrusCodon usageCorrelationEvolutionGC biology

Identifiers

PMID33327935
PMCPMC7739459

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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.