Suppr超能文献

创建个体和批量拉丁化双名病毒物种名称的指南。

Guidance for creating individual and batch latinized binomial virus species names.

机构信息

Department of Microbiology & Immunology, Vagelos College of Physicians & Surgeons, Columbia University Irving Medical Center, New York, NY 10032, USA.

Consiglio Nazionale delle Ricerche, Istituto per la Protezione Sostenibile delle Piante, Sede Secondaria di Bari, 70126 Bari, Italy.

出版信息

J Gen Virol. 2022 Dec;103(12). doi: 10.1099/jgv.0.001800.

Abstract

The International Committee on Taxonomy of Viruses recently adopted, and is gradually implementing, a binomial naming format for virus species. Although full Latinization of these names remains optional, a standardized nomenclature based on Latinized binomials has the advantage of comparability with all other biological taxonomies. As a language without living native speakers, Latin is more culturally neutral than many contemporary languages, and words built from Latin roots are already widely used in the language of science across the world. Conversion of established species names to Latinized binomials or creation of Latinized binomials may seem daunting, but the rules for name creation are straightforward and can be implemented in a formulaic manner. Here, we describe approaches, strategies and steps for creating Latinized binomials for virus species without prior knowledge of Latin. We also discuss a novel approach to the automated generation of large batches of novel genus and species names. Importantly, conversion to a binomial format does not affect virus names, many of which are created from local languages.

摘要

国际病毒分类委员会最近通过并逐步实施了一种病毒种的二项式命名格式。虽然这些名称的完全拉丁语化仍然是可选的,但基于拉丁语化二项式的标准化命名法具有与所有其他生物分类法相媲美的优势。作为一种没有母语使用者的语言,拉丁语比许多当代语言更具文化中立性,并且基于拉丁语词根的单词已经在全球科学界的语言中广泛使用。将已建立的物种名称转换为拉丁语化的二项式或创建拉丁语化的二项式可能看起来令人生畏,但名称创建的规则很简单,可以以公式化的方式实现。在这里,我们描述了在不了解拉丁语的情况下为病毒种创建拉丁语化二项式的方法、策略和步骤。我们还讨论了一种新颖的方法,用于自动生成大量新属和种名称。重要的是,转换为二项式格式不会影响病毒名称,其中许多病毒名称是从当地语言创建的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbf3/10228378/1c098e37da97/jgv-103-1800-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验