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鉴定调控芸薹属种子性状的 lncRNAs 并建立一个全面的种子组学数据库。

Identification of lncRNAs regulating seed traits in Brassica juncea and development of a comprehensive seed omics database.

机构信息

Department of Biotechnology, School of Interdisciplinary and Applied Sciences, Central University of Haryana, Mahendergarh, Haryana, India.

School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India.

出版信息

Funct Integr Genomics. 2024 Oct 15;24(5):189. doi: 10.1007/s10142-024-01470-4.

Abstract

Brassica juncea is a crucial oilseed crop, and its seeds possess high economic value as they are a source of edible oil. In order to understand the role of long non coding RNAs (lncRNAs) in the regulation of seed development, we carried out computational analysis using transcriptome data of developing seeds of two contrasting genotypes of B. juncea, Pusajaikisan (PJK) and Early Heera 2 (EH2). The seeds were sampled at three stages, 15, 30, and 45 days after pollination. We identified 1,539 lncRNAs, of which 809 were differentially expressed. We also carried out extensive characterization and functional analysis of seed lncRNAome. The expression patterns were analysed using k-means clustering, and the targets were analysed using pathway, transcription factor, and GO enrichment, as well as ortholog information. We shortlisted a total of 25 robust lncRNA candidates for seed size, oil content, and seed coat color. We also identified 4 lncRNAs as putative precursors of miRNAs regulating seed development. Moreover, a total of 28 miRNA-lncRNA-mRNA regulatory networks regulating seed traits were identified. We also developed a comprehensive database, (BrassIca juncea database or "BIJ" ( https://bij.cuh.ac.in/ ), which provides seed omics as well as other functional genomics and genetics data in an easily accessible form. These candidate lncRNAs are suitable for including in crop improvement programs through molecular breeding, as well as for future validations through genome editing. Together, the knowledge of these candidate lncRNAs and availability of BIJ database shall leverage the crop improvement efforts in B. juncea.

摘要

芥菜型油菜是一种重要的油料作物,其种子是食用油的来源,具有很高的经济价值。为了了解长非编码 RNA(lncRNA)在种子发育调控中的作用,我们利用芥菜型油菜两个不同基因型(Pusajaikisan(PJK)和 Early Heera 2(EH2))发育种子的转录组数据进行了计算分析。在授粉后 15、30 和 45 天分别采集种子样本。我们鉴定出 1539 个 lncRNA,其中 809 个表达差异。我们还对种子 lncRNA 组进行了广泛的特征和功能分析。利用 k-means 聚类分析表达模式,利用通路、转录因子和 GO 富集以及同源信息分析靶基因。我们总共列出了 25 个与种子大小、含油量和种皮颜色相关的稳健 lncRNA 候选基因。我们还鉴定出 4 个 lncRNA 作为调控种子发育的 miRNA 的前体。此外,还鉴定出了 28 个调控种子性状的 miRNA-lncRNA-mRNA 调控网络。我们还开发了一个综合数据库(芥菜型油菜数据库或“BIJ”(https://bij.cuh.ac.in/),以易于访问的形式提供种子组学以及其他功能基因组学和遗传学数据。这些候选 lncRNA 适合通过分子育种纳入作物改良计划,也适合通过基因组编辑进行未来验证。这些候选 lncRNA 的知识和 BIJ 数据库的可用性将推动芥菜型油菜的作物改良工作。

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