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

IF 3.5 Q3 Biochemistry, Genetics and Molecular Biology Journal of Genetic Engineering and Biotechnology Pub Date : 2024-11-13 DOI:10.1016/j.jgeb.2024.100441
Taniya Bargoti , Divya Pratap Nain , Rajesh Kumar , Amit Kumar Awasthi , Deepali Singh , Vikrant Nain
{"title":"Scaled codon usage similarity index: A comprehensive resource for crop plants","authors":"Taniya Bargoti ,&nbsp;Divya Pratap Nain ,&nbsp;Rajesh Kumar ,&nbsp;Amit Kumar Awasthi ,&nbsp;Deepali Singh ,&nbsp;Vikrant Nain","doi":"10.1016/j.jgeb.2024.100441","DOIUrl":null,"url":null,"abstract":"<div><div>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 <span><span>https://pcud.plantcodon.info</span><svg><path></path></svg></span>. 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.</div></div>","PeriodicalId":53463,"journal":{"name":"Journal of Genetic Engineering and Biotechnology","volume":"22 4","pages":"Article 100441"},"PeriodicalIF":3.5000,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Genetic Engineering and Biotechnology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1687157X24001446","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 0

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
标度密码子使用相似性指数:作物植物的综合资源
在过去的三十年中,物种特异性密码子使用偏差已被用于优化异源基因在目标宿主中的表达。然而,由于 DNA 合成费用过高,为多个物种合成密码子优化基因是不可能实现的。为了应对这一挑战,将密码子用法相似的物种分组,可以减少对特定物种密码子优化基因合成的需求。我们引入了标度密码子使用相似性(SCUS)指数,根据密码子使用情况对物种相似性评估进行标准化。通过分析来自 13 个科的 77 个植物核基因组的 SCUS 指数,我们确定了密码子使用模式和相似性。我们开发了一个在线 SCUS 指数数据库和一个共识相对同义密码子使用率(CRSCU)计算器,可在 https://pcud.plantcodon.info 上查阅。CRSCU 计算器有助于确定两个或多个物种之间最合适的密码子使用模式。SCUS 指数和 CRSCU 计算器将促进多物种表达系统的开发,使单个合成基因在不同作物物种间高效表达成为可能。这项创新为在不同作物物种间进行经济高效的异源基因表达铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Genetic Engineering and Biotechnology
Journal of Genetic Engineering and Biotechnology Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
5.70
自引率
5.70%
发文量
159
审稿时长
16 weeks
期刊介绍: Journal of genetic engineering and biotechnology is devoted to rapid publication of full-length research papers that leads to significant contribution in advancing knowledge in genetic engineering and biotechnology and provide novel perspectives in this research area. JGEB includes all major themes related to genetic engineering and recombinant DNA. The area of interest of JGEB includes but not restricted to: •Plant genetics •Animal genetics •Bacterial enzymes •Agricultural Biotechnology, •Biochemistry, •Biophysics, •Bioinformatics, •Environmental Biotechnology, •Industrial Biotechnology, •Microbial biotechnology, •Medical Biotechnology, •Bioenergy, Biosafety, •Biosecurity, •Bioethics, •GMOS, •Genomic, •Proteomic JGEB accepts
期刊最新文献
Exploring advanced genomic and immunoinformatics techniques for identifying drug and vaccine targets against SARS-CoV-2 Association of plasma microRNAs with COVID-19 severity and outcome Impact of homologous overexpression of PR10a gene on improving salt stress tolerance in transgenic Solanum tuberosum Scaled codon usage similarity index: A comprehensive resource for crop plants In silico and cheminformatics prediction with experimental validation of an adipogenesis cocktail, sorafenib with rosiglitazone for HCC dedifferentiation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1