Evidence map›Paper›PMID 23251044›Full record

ArticleBioinformation2012

Synonymous codon usage in chloroplast genome of Coffea arabica.

Rahul R Nair, Manivasagam B Nandhini, Elango Monalisha, Kavitha Murugan, Thilaga Sethuraman, Sangeetha Nagarajan, Nayani Surya Prakash Rao, Doss Ganesh

Abstract read
In one paragraph

Article in Bioinformation, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

12 citing papers in PubMed.

  1. Article
  2. 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

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Rahul R NairPlant Genetic Improvement Laboratory, Department of Biotechnology, SPK Centre for Environmental Sciences, Manonmaniam Sundaranar University, Alwarkurichi 627 412, Tirunelveli District, Tamil Nadu. India.
Manivasagam B Nandhini
Elango Monalisha
Kavitha Murugan
Thilaga Sethuraman
Sangeetha Nagarajan
Nayani Surya Prakash Rao
Doss Ganesh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synonymous codon usage of 53 protein coding genes in chloroplast genome of Coffea arabica was analyzed for the first time to find out the possible factors contributing codon bias. All preferred synonymous codons were found to use A/T ending codons as chloroplast genomes are rich in AT. No difference in preference for preferred codons was observed in any of the two strands, viz., leading and lagging strands. Complex correlations between total base compositions (A, T, G, C, GC) and silent base contents (A(3), T(3), G(3), C(3), GC(3)) revealed that compositional constraints played crucial role in shaping the codon usage pattern of C. arabica chloroplast genome. ENC Vs GC(3) plot grouped majority of the analyzed genes on or just below the left side of the expected GC(3) curve indicating the influence of base compositional constraints in regulating codon usage. But some of the genes lie distantly below the continuous curve confirmed the influence of some other factors on the codon usage across those genes. Influence of compositional constraints was further confirmed by correspondence analysis as axis 1 and 3 had significant correlations with silent base contents. Correlation of ENC with axis 1, 4 and CAI with 1, 2 prognosticated the minor influence of selection in nature but exact separation of highly and lowly expressed genes could not be seen. From the present study, we concluded that mutational pressure combined with weak selection influenced the pattern of synonymous codon usage across the genes in the chloroplast genomes of C. arabica.

Indexed as

Codon adaptation indexCoffea arabicaCorrespondence analysisENC Vs GC3 plotSynonymous codon usage

Identifiers

PMID23251044
PMCPMC3523224

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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.