马BSLnc:马长非编码RNA的精心策划的存储库,以应对生物压力
Pingping Huang1, Weilin Cao2, Zhaojun Li3
1Shandong Provincial Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, No. 566 Daxue West Road, Decheng District, Dezhou 253023, China.
Database : the journal of biological databases and curation
|February 22, 2025
概括
马BSLnc是一个新的数据库,详细介绍了在生物压力下马植物中的长非编码RNA (lncRNA) 和信使RNA (mRNA). 它有助于研究人员了解植物的反应,并开发抗病的马品种.
科学领域:
- 植物分子生物学 植物分子生物学
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 生物压力对全球土豆产量产生了重大影响.
- 长非编码RNAs (lncRNAs) 在植物应激反应中至关重要,但它们在土豆生物应激抵抗中的作用尚不清楚.
研究的目的:
- 建立 PotatoBSLnc,一个全面的数据库,用于在生物压力下研究马 lncRNA和mRNA.
- 为了解马抗病原体和昆虫的分子机制提供见解.
主要方法:
- 收集和策划了364个RNA测序 (RNA-seq) 数据集,来自26种土豆种类和野生类型的12种生物压力.
- 将18636个lncRNA和44263个mRNA集成到数据库中.
- 进行了对lncRNA和mRNA的差异表达,基因本体学 (GO) 和基因和基因组的京都百科全书 (KEGG) 分析.
主要成果:
- 马BSLnc拥有广泛的RNA-seq数据, lncRNA/mRNA信息,以及12种生物应激的分析结果.
- 数据库包括用于浏览数据,表达分析和详细的生物应激反应信息的模块.
- 确定了差异表达的lncRNAs (DElncRNAs) 和mRNAs (DEmRNAs) 以及它们的潜在cis/trans-targets.
结论:
- 马BSLnc为研究涉及生物压力的马 lncRNA和mRNA提供了宝贵的资源.
- 该平台通过分子方法促进了通过分子方法加速培育耐生物压力耐药的马品种.
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