Revisiting the y-ome of Escherichia coli.

IF 16.6 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Lisa R Moore, Ron Caspi, Dana Boyd, Mehmet Berkmen, Amanda Mackie, Suzanne Paley, Peter D Karp
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引用次数: 0

Abstract

The model organism Escherichia coli K-12 has one of the most extensively annotated genomes in terms of functional characterization, yet a significant number of genes, ∼35%, are still considered poorly characterized. Initially genes without known functional understanding were given 'y' gene names. However, due to inconsistency in changing 'y' names to non-'y' names over the years, gene name alone does not provide sufficient information as to the characterization level of genes. Attempts to characterize y-ome genes, i.e. those that lack experimental evidence for function, are ongoing, and recent categorization based on the level of experimental evidence has helped clarify those genes that are well characterized versus uncharacterized. EcoCyc, the most comprehensive, curated genome database for E. coli K-12 substr. MG1655, has updated this approach by expanding the categories to include Partially characterized genes using a set of computational rules that includes keywords, experimental evidence codes and Gene Ontology terms. Approximately half of the previously categorized y-ome genes are now categorized as Partially characterized, leaving 15.5% (738) as Uncharacterized genes in EcoCyc. This new categorization scheme is searchable in the EcoCyc database, will be updated as new experimental evidence is curated and provides important information for research decisions.

重新审视大肠杆菌的 "y-ome"。
模式生物大肠杆菌(Escherichia coli K-12)是功能特征注释最广泛的基因组之一,但仍有相当数量(35%)的基因被认为特征不清。最初,没有已知功能的基因被命名为 "Y "基因。然而,由于多年来将 "y "名改为非 "y "名的做法并不一致,因此仅凭基因名并不能充分说明基因的表征水平。目前正在尝试对 "y-ome "基因(即那些缺乏功能实验证据的基因)进行表征,最近根据实验证据水平进行的分类有助于澄清那些表征充分的基因和表征不足的基因。EcoCyc 是大肠杆菌 K-12 底物 MG1655 最全面的基因组数据库。MG1655 的最全面的基因组数据库 EcoCyc 更新了这一方法,使用一套包括关键字、实验证据代码和基因本体术语的计算规则,将类别扩大到包括部分特征基因。在 EcoCyc 中,以前分类的 y-ome 基因中约有一半现在被归类为部分表征基因,剩下 15.5%(738 个)为未表征基因。这一新的分类方案可在 EcoCyc 数据库中搜索,并将随着新实验证据的收集而更新,为研究决策提供重要信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nucleic Acids Research
Nucleic Acids Research 生物-生化与分子生物学
CiteScore
27.10
自引率
4.70%
发文量
1057
审稿时长
2 months
期刊介绍: Nucleic Acids Research (NAR) is a scientific journal that publishes research on various aspects of nucleic acids and proteins involved in nucleic acid metabolism and interactions. It covers areas such as chemistry and synthetic biology, computational biology, gene regulation, chromatin and epigenetics, genome integrity, repair and replication, genomics, molecular biology, nucleic acid enzymes, RNA, and structural biology. The journal also includes a Survey and Summary section for brief reviews. Additionally, each year, the first issue is dedicated to biological databases, and an issue in July focuses on web-based software resources for the biological community. Nucleic Acids Research is indexed by several services including Abstracts on Hygiene and Communicable Diseases, Animal Breeding Abstracts, Agricultural Engineering Abstracts, Agbiotech News and Information, BIOSIS Previews, CAB Abstracts, and EMBASE.
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