Evidence map›Paper›PMID 36674611›Full record

ArticleInternational journal of molecular sciences2023

Codon Usage Provide Insights into the Adaptation of Rice Genes under Stress Condition.

Swati Tyagi, Pramod Gorakhanath Kabade, Niranjani Gnanapragasam, Uma Maheshwar Singh, Anoop Kishor Singh Gurjar, Ashutosh Rai, Pallavi Sinha, Arvind Kumar, Vikas Kumar Singh

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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.

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

15 citing papers in PubMed.

  1. Article
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  14. Complete mitochondrial genome ofFrontiers in plant science · 2023
    Article
  15. 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

9 authors.

Swati TyagiInternational Rice Research Institute-South Asia Regional Centre (ISARC), Varanasi 221106, India.ORCID 0000-0002-5360-7469
Pramod Gorakhanath KabadeInternational Rice Research Institute-South Asia Regional Centre (ISARC), Varanasi 221106, India.ORCID 0000-0002-5484-0588
Niranjani GnanapragasamInternational Rice Research Institute (IRRI)-South-Asia Hub, International Crops Research Institute for the Semi-Arid Tropics, Hyderabad 502324, India.ORCID 0000-0003-2795-742X
Uma Maheshwar SinghInternational Rice Research Institute-South Asia Regional Centre (ISARC), Varanasi 221106, India.ORCID 0000-0001-6955-5109
Anoop Kishor Singh GurjarInternational Rice Research Institute-South Asia Regional Centre (ISARC), Varanasi 221106, India.ORCID 0000-0001-7023-2729
Ashutosh RaiInternational Rice Research Institute-South Asia Regional Centre (ISARC), Varanasi 221106, India.ORCID 0000-0001-6136-6696
Pallavi SinhaInternational Rice Research Institute (IRRI)-South-Asia Hub, International Crops Research Institute for the Semi-Arid Tropics, Hyderabad 502324, India.
Arvind KumarInternational Rice Research Institute-South Asia Regional Centre (ISARC), Varanasi 221106, India.ORCID 0000-0002-5488-9410
Vikas Kumar SinghInternational Rice Research Institute-South Asia Regional Centre (ISARC), Varanasi 221106, India.

Funding

Department of Biotechnology BT/PR32853/AGill/103/1159/2019
6 · The paper itself

Abstract

Plants experience different stresses, i.e., abiotic, or biotic, and to combat them, plants re-program the expression of growth-, metabolism-, and resistance-related genes. These genes differ in their synonymous codon usage frequency and show codon usage bias. Here, we investigated the correlation among codon usage bias, gene expression, and underlying mechanisms in rice under abiotic and biotic stress conditions. The results indicated that genes with higher expression (up- or downregulated) levels had high GC content (≥60%), a low effective number of codon usage (≤40), and exhibited strong biases towards the codons with C/G at the third nucleotide position, irrespective of stress received. TTC, ATC, and CTC were the most preferred codons, while TAC, CAC, AAC, GAC, and TGC were moderately preferred under any stress (abiotic or biotic) condition. Additionally, downregulated genes are under mutational pressure (R

Indexed as

Codon UsageOryzaAcclimatizationCodonMutationCodonabiotic stresscodon usage biasgene expressionmutational pressurenatural selection

Identifiers

PMID36674611
PMCPMC9861248

What OpenQuestion holds

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LicenceCC BY
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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.