iFLAS:积极未标记的学习促进了基于转录组的全长识别和在玉米中替代拼接异型的功能性探索
Feng Xu1, Songyu Liu1, Anwen Zhao1
1State Key Laboratory of Maize Bio-Breeding, National Maize Improvement Center, Frontiers Science Center for Molecular Design Breeding, College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100094, China.
The New phytologist
|January 31, 2024
概括
我们开发了iFLAS,这是一个植物优化的工具包,用于分析全长替代拼接 (AS). 这种工具准确地识别了新型异构体,并揭示了它们的功能,有助于植物研究和育种.
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:
- 全长度转录基因组测序加速了新型拼接异型的发现.
- 现有的替代拼接 (AS) 工具没有针对植物数据进行优化,这给植物异型鉴定和功能分析带来了挑战.
- 植物和动物的AS模式表现出显著的差异.
研究的目的:
- 为植物全长替代拼接分析开发一个优化的工具包.
- 准确识别新型异构体并研究它们在植物中的功能.
- 为了在植物中实现差异性AS,多A尾巴长度和基因特异性AS (ASAS) 分析.
主要方法:
- 开发综合全长替代拼接分析 (iFLAS),一个工厂优化的AS工具包.
- 实施半监督机器学习方法 (正无标记或PU学习) 用于新型异构体的识别.
- 应用iFLAS到玉米 (Zea mays) 全长转录基因组测序数据集进行系统分析.
主要成果:
- iFLAS准确地确定了新的植物异型,并使功能性研究成为可能.
- 发现,内保留引入了过早终结的编码子,并调节了3'UTR/poly(A) 尾巴的长度,影响了异形函数.
- 在玉米异质化后代中观察到明显的异位基因特异性AS模式,这表明了潜在的育种应用.
结论:
- iFLAS是一个广泛适用的工具,用于基于植物全长转录基因组的AS研究.
- 该研究提供了关于AS在植物中的功能作用的见解,包括内部保留和ASAS.
- 这些发现突显了AS分析在植物育种和功能基因组学中的潜力.
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