长非编码RNA和microRNA景观两个主要的化棉花物种
Ajeet Singh1,2, Vivek At1, Kanika Gupta1
1Bioinformatics Lab, National Institute of Plant Genome Research, New Delhi 110067, India.
Computational and structural biotechnology journal
|June 2, 2023
概括
一个新的数据库,CoNCRAtlas,提供了在种植的棉花物种中对长非编码RNAs (lncRNAs) 和microRNAs (miRNAs) 的全面识别和注释,有助于功能研究和育种计划.
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:
- 棉花 (Gossypium hirsutum和Gossypium barbadense) 对于织纤维来说至关重要.
- 棉花中非编码RNAs (ncRNAs) 的有限的系统识别和注释阻碍了功能理解和研究.
- 了解ncRNA对于改善棉花品种至关重要.
研究的目的:
- 在种植棉花中系统地识别和注释长非编码RNA (lncRNA) 和microRNA (miRNA).
- 开发一个用户友好的数据库,CoNCRAtlas,以访问这些ncRNA资源.
- 促进棉花中ncRNAs的进化和功能研究.
主要方法:
- 使用大规模RNA测序 (RNA-seq) 和小RNA测序 (sRNA-seq) 数据集.
- 集成了广泛的注释,包括来自数千个样本和多omics数据的表达模式.
- 开发了CoNCRAtlas数据库,以方便用户访问高可靠性lncRNA和miRNA数据.
主要成果:
- 为G. hirsutum和G. barbadense生成了一个全面的高可靠性lncRNA和miRNA集合.
- CoNCRAtlas提供了广泛而深入的ncRNA注释,包括表达特征.
- 数据库整合了各种数据类型,以实现可靠的注释.
结论:
- CoNCRAtlas是探索棉花中ncRNAs的宝贵资源.
- 这种全面的数据库预计将加速ncRNAs的进化和功能研究.
- 这些发现将为未来的棉花育种计划提供信息,以改善作物.
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