Evidence map›Paper›PMID 36875724›Full record

ArticlePhysiology and molecular biology of plants : an international journal of functional plant biology2023

Codon usage bias and genetic diversity in chloroplast genomes of

Changle Li, Ling Zhou, Jiangbo Nie, Songping Wu, Wei Li, Yonghong Liu, Yulin Liu

Open access · greenAbstract read
In one paragraph

Article in Physiology and molecular biology of plants : an international journal of functional plant biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
13.1field-weighted citation impact, top 1% 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

20 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Complete mitochondrial genome ofFrontiers in plant science · 2026
    Article
  5. Codon Usage Bias of the Polyphenol Oxidase Genes inPlants (Basel, Switzerland) · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Comparative analysis of mitochondrial genomes ofFrontiers in plant science · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors at 2 institutions in 1 country.

Changle LiCollege of Forestry, Northwest A&F University, Yangling, 712100 China.
Ling ZhouCollege of Forestry, Northwest A&F University, Yangling, 712100 China.
Jiangbo NieCollege of Forestry, Northwest A&F University, Yangling, 712100 China.
Songping WuCollege of Forestry, Northwest A&F University, Yangling, 712100 China.
Wei LiAcademy of Agriculture and Forestry Science, Qinghai University, Xining, 810016 China.
Yonghong LiuCollege of Forestry, Northwest A&F University, Yangling, 712100 China.
Yulin LiuCollege of Forestry, Northwest A&F University, Yangling, 712100 China.
Northwest A&F University · CNQinghai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Codon usage bias (CUB) reveals the characteristics of species and can be utilized to understand their evolutionary relationship, increase the target genes' expression in the heterologous receptor plants, and further provide theoretic assistance for correlative study on molecular biology and genetic breeding. The chief aim of this work was to analyze the CUB in chloroplast (cp.) genes in nine Supplementary Information: The online version contains supplementary material available at 10.1007/s12298-023-01289-6.

Indexed as

Chloroplast genomesCodon usage biasElaeagnusEvolutionary relationshipOptimal codons

Identifiers

PMID36875724
PMCPMC9981860
OpenAlexW4321055480

What OpenQuestion holds

Textmetadata
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.