Evidence map›Paper›PMID 39674652›Full record

ArticleJournal, genetic engineering & biotechnology2024

Scaled codon usage similarity index: A comprehensive resource for crop plants.

Taniya Bargoti, Divya Pratap Nain, Rajesh Kumar, Amit Kumar Awasthi, Deepali Singh, Vikrant Nain

Abstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Taniya BargotiUniversity School of Biotechnology, Department of Biotechnology, Gautam Buddha University, Greater Noida, Uttar Pradesh (201312), India.
Divya Pratap NainUniversity School of Biotechnology, Department of Biotechnology, Gautam Buddha University, Greater Noida, Uttar Pradesh (201312), India.
Rajesh KumarUniversity School of Biotechnology, Department of Biotechnology, Gautam Buddha University, Greater Noida, Uttar Pradesh (201312), India.
Amit Kumar AwasthiUniversity School of Vocational Studies and Applied Sciences, Department of Mathematical Science, Gautam Buddha University, Greater Noida, Uttar Pradesh (201312), India.
Deepali SinghUniversity School of Biotechnology, Department of Biotechnology, Gautam Buddha University, Greater Noida, Uttar Pradesh (201312), India.
Vikrant NainUniversity School of Biotechnology, Department of Biotechnology, Gautam Buddha University, Greater Noida, Uttar Pradesh (201312), India. Electronic address: vikrant@gbu.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past three decades species-specific codon usage bias has been used to optimize heterologous gene expression in the target host. However, synthesizing codon optimized gene for multiple species is not achievable due to the prohibitive expense of DNA synthesis. To address this challenge, grouping species with similar codon usage can reduce the need for species-specific codon optimised gene synthesis. We introduced Scaled Codon Usage Similarity (SCUS) index to standardize species similarity assessments based on codon usage profiles. By analysing the SCUS index of 77 plant nuclear genomes from 13 families, we identified codon usage patterns and similarities. We developed an online SCUS index database and a Consensus Relative Synonymous Codon Usage (CRSCU) calculator, available at https://pcud.plantcodon.info. The CRSCU calculator helps determine the most suitable codon usage pattern among two or more species. The SCUS index and CRSCU calculator will facilitate the development of multi-species expression systems, enabling the efficient expression of a single synthetic gene across various crop species. This innovation paves the way for cost-effective and efficient heterologous gene expression across diverse crop species.

Indexed as

Codon Usage BiasHeterologous gene expressionMulti-species expression systemSynthetic biology

Identifiers

PMID39674652
PMCPMC11600778

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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.