The rice genome annotation project: an updated database for mining the rice genome.

IF 16.6 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Nucleic Acids Research Pub Date : 2024-11-18 DOI:10.1093/nar/gkae1061
John P Hamilton, Chenxin Li, C Robin Buell
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Abstract

Rice (Oryza sativa L.) is a major cereal crop that provides calories across the world. With a small genome, rice has been used extensively as a model for genetic and genomic studies in the Poaceae. Since the release of the first rice genome sequence in 2002, an improved reference genome assembly, multiple whole genome assemblies, extensive gene expression profiles, and resequencing data from over 3000 rice accessions have been generated. To facilitate access to the rice genome for plant biologists, we updated the Rice Genome Annotation Project database (RGAP; https://rice.uga.edu) with new datasets including 16 whole genome rice assemblies and sequence variants generated from multiple rice pan-genome projects including the 3000 Rice Genomes Project. We updated gene expression abundance data with 80 RNA-sequencing datasets and to facilitate gene function discovery, performed gene coexpression resulting in 39 coexpression modules that capture highly connected sets of co-regulated genes. To facilitate comparative genome analyses, 32 335 syntelogs were identified between the Nipponbare reference genome and other rice genomes and 19 371 syntelogs were identified between Nipponbare and four other Poaceae genomes. Infrastructure improvements to the RGAP database include an upgraded genome browser and data access portals, enhanced website security and increased performance of the website.

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水稻基因组注释项目:用于挖掘水稻基因组的最新数据库。
水稻(Oryza sativa L.)是为全世界提供热量的主要谷类作物。由于基因组较小,水稻已被广泛用作禾本科植物遗传和基因组研究的模型。自 2002 年发布第一个水稻基因组序列以来,已产生了改进的参考基因组组装、多个全基因组组装、广泛的基因表达谱以及来自 3000 多个水稻品种的重测序数据。为了方便植物生物学家访问水稻基因组,我们更新了水稻基因组注释项目数据库(RGAP; https://rice.uga.edu),增加了新的数据集,包括 16 个水稻全基因组组装和来自多个水稻泛基因组项目(包括 3000 个水稻基因组项目)的序列变异。我们利用 80 个 RNA 测序数据集更新了基因表达丰度数据,并进行了基因共表达,形成了 39 个共表达模块,捕获了高度关联的共调控基因集,从而促进了基因功能的发现。为便于进行基因组比较分析,在日本稗参考基因组和其他水稻基因组之间确定了 32 335 个合成对,在日本稗和其他四个禾本科基因组之间确定了 19 371 个合成对。对 RGAP 数据库基础设施的改进包括升级基因组浏览器和数据访问门户、加强网站安全和提高网站性能。
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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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