Evidence map›Paper›PMID 31313106›Full record

ArticleGenes & genomics2019

Analysis of synonymous codon usage of chloroplast genome in Porphyra umbilicalis.

Guoling Li, Zonglian Pan, Shichen Gao, Yuyang He, Qiaoyu Xia, Yan Jin, Huipeng Yao

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Article in Genes & genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

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0cells of the map it votes in
31citing papers in PubMed
3.6field-weighted citation impact, top 6% of its field
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3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 75 citations in OpenAlex.

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  5. The First Complete Chloroplast Genome Sequence of theCurrent issues in molecular biology · 2025
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  8. Genome-Wide Analysis ofInternational journal of molecular sciences · 2024
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  12. Chloroplast genomes in sevenFrontiers in genetics · 2024
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  13. New Insights into Phylogenetic Relationship ofInternational journal of molecular sciences · 2023
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  14. Analysis of codon usage patterns inChinese herbal medicines · 2023
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  15. Article
  16. Codon usage bias and genetic diversity in chloroplast genomes ofPhysiology and molecular biology of plants : an international journal of functional plant biology · 2023
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4 · The record

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5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Guoling LiCollege of Life Science, Sichuan Agricultural University, Ya'an, 625014, Sichuan, China.
Zonglian PanCollege of Life Science, Sichuan Agricultural University, Ya'an, 625014, Sichuan, China.
Shichen GaoCollege of Life Science, Sichuan Agricultural University, Ya'an, 625014, Sichuan, China.
Yuyang HeCollege of Life Science, Sichuan Agricultural University, Ya'an, 625014, Sichuan, China.
Qiaoyu XiaCollege of Life Science, Sichuan Agricultural University, Ya'an, 625014, Sichuan, China.
Yan JinCollege of Life Science, Sichuan Agricultural University, Ya'an, 625014, Sichuan, China.
Huipeng YaoCollege of Life Science, Sichuan Agricultural University, Ya'an, 625014, Sichuan, China. yaohuipeng0921@163.com.ORCID http://orcid.org/0000-0001-5078-6492
Sichuan Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSynonymous codon usage bias is noticed in the genome of every organism, influenced by mutation pressure and natural selection. The analysis of codon usage pattern in Porphyra umbilicalis chloroplast genome are inferred while previous study focused on codon bias in nuclear genome.

objectiveTo develop a better understanding of the factors affecting synonymous codon usage, codon usage patterns and nucleotide composition of 150 genes in P. umbilicalis cp genome, and provide a theoretical basis for genetic modification of chloroplast genome.

methodsIn this study, all codon usage bias parameters and nucleotide compositions were calculated by Python script, Codon W, DNA Star, CUSP of EMBOSS and Microsoft Excel.

resultsIt shows that codon usage models are mainly influenced by compositional constraints under mutational pressure and synonymous codon prefers to use codons ending with A/T, comparing to C/G. The ENC value is slight low which shows the weak codon bias. For all coding genes of P. umbilicalis chloroplast genome except Photosystem I genes, a weak correlation between GC

conclusionThe codon usage bias in P. umbilicalis cp genome is low and in some way or other, influenced by natural selection, mutation pressure, nucleotide composition. Our results can provide a theoretical basis for codon modification of exogenous genes, accuracy of prediction about new members of chloroplast gene family and identification of unknown genome.

Indexed as

Base CompositionChloroplastsCodonCodon UsageGenome, ChloroplastMutationPhotosystem I Protein ComplexPorphyraSelection, GeneticCodonPhotosystem I Protein ComplexChloroplast genomeNatural selectionPorphyra umbilicalisSynonymous codon usage

Identifiers

PMID31313106
OpenAlexW2956350149

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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.