NMOD:烟草抗病研究的多维组学数据库。

IF 4 2区 生物学 Q2 CELL BIOLOGY
He Xu, Yanru Song, Bin Li, Kangkang Song, Xiaohua Zhang, Wenna Zheng, Bin Tan, Long Yang
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引用次数: 0

摘要

高通量测序产生了广泛的组学数据,烟叶属是茄科的一个关键模式属。然而,目前数据库中数据的碎片化和有限的跨物种整合阻碍了抗病基因的鉴定和种质资源的创新。为了应对这些挑战,我们开发了尼古丁多维组学数据库(http://biodb.com.cn/NMOD/index.html)。该数据库系统地整合了来自23个烟草品种的全基因组数据、168个转录组数据集、7.77亿个变异位点以及来自146个全球种质资源的表型农艺数据。NMOD重点标注了10个代表性品种的29个抗病基因家族,对不同抗病处理下的转录组进行差异表达分析,并集成了基因组可视化(JBrowse)、同源性搜索(BLAST)和功能富集分析工具。总之,NMOD为烟草基因组学和遗传学提供了广泛的见解,有望加强烟草抗病机制和分子育种的未来研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NMOD: A Multi-Dimensional Omics Database for Disease Resistance Research in Nicotiana.

High-throughput sequencing has generated extensive omics data for Nicotiana species, a key model genus in the Solanaceae family. However, fragmented data and limited cross-species integration in current databases hinder the identification of disease-resistant genes and germplasm innovation. To address these challenges, we developed Nicotiana Multi-Dimensional Omics Database (http://biodb.com.cn/NMOD/index.html). This database systematically integrates whole-genome data from 23 tobacco varieties, 168 transcriptome datasets, 777 million variation sites, and phenotypic-agronomic data from 146 global germplasm accessions. NMOD emphasizes the annotation of 29 disease-resistant gene families across 10 representative varieties, performs differential expression analysis on transcriptomes under different disease resistance treatments and integrates tools for genomic visualization (JBrowse), homology searching (BLAST), and functional enrichment analysis. In summary, NMOD provides extensive insights into tobacco genomics and genetics, holding promise to enhance future research on disease resistance mechanisms and molecular breeding in tobacco.

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来源期刊
Plant and Cell Physiology
Plant and Cell Physiology 生物-细胞生物学
CiteScore
8.40
自引率
4.10%
发文量
166
审稿时长
1.7 months
期刊介绍: Plant & Cell Physiology (PCP) was established in 1959 and is the official journal of the Japanese Society of Plant Physiologists (JSPP). The title reflects the journal''s original interest and scope to encompass research not just at the whole-organism level but also at the cellular and subcellular levels. Amongst the broad range of topics covered by this international journal, readers will find the very best original research on plant physiology, biochemistry, cell biology, molecular genetics, epigenetics, biotechnology, bioinformatics and –omics; as well as how plants respond to and interact with their environment (abiotic and biotic factors), and the biology of photosynthetic microorganisms.
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