低输入的PacBio测序产生高质量的个体基因组,并描述突变过程
Hangxing Jia1, Shengjun Tan2, Yingao Cai3,4
1Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China. jiahangxing@ioz.ac.cn.
Nature communications
|July 5, 2024
概括
我们开发了LILAP,这是一种用于PacBio测序的低输入方法,可为小型生物体实现近乎完整的基因组生成. 这种技术有助于对珍贵样本中的突变和共生体进行详细研究.
科学领域:
- 基因组学和分子生物学
- 生物信息学和计算生物学
- 进化生物学 进化生物学
背景情况:
- 像PacBio这样的长期读取的测序技术为基因组组装提供了显著的优势,特别是在解决复杂的基因组区域方面.
- 然而,目前PacBio图书馆制备方法的高DNA输入要求限制了其适用于小生物或有限的样本数量的应用.
- 现有的方法往往涉及昂贵和耗时的放大步骤,这可能引入偏差.
研究的目的:
- 为PacBio测序开发一种新的,低输入,成本效益和无放大图书馆准备方法.
- 为了实现小生物和珍贵样本的高质量基因组测序.
- 使用新方法研究Drosophila melanogaster中的突变过程和共生体基因组学.
主要方法:
- 开发了LILAP (Low-Input, Low-cost, Amplification-free Library-generation for PacBio),一种结合基于Tn5的标记和DNA循环化的一个管子方法.
- 应用LILAP从两个单独的Drosophila melanogaster样本生成PacBio测序库.
- 对生成的数据进行全基因组测序和生物信息分析.
主要成果:
- 产生了两个Drosophila melanogaster个体的近乎完整的基因组组合,超过了以前的单组合.
- 描述了复杂的转位,确定了对非BDNA结构的偏好.
- 检测到发生在DNA和RNA两级的转换基因转换.
- 在中实现了对内共生细菌Wolbachia的完整基因组组合,也揭示了转子子转化.
结论:
- LILAP显著降低了PacBio测序的障碍,使其成为小生物和珍贵样本的可用性.
- 该方法促进了对基因组进化,突变过程和宿主-共生体相互作用的深入研究.
- LILAP准备在各种生物研究领域扩大长读测序的采用范围.
相关概念视频
02:02Genomics
36.3K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
36.3K
03:21RNA-seq
9.9K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
9.9K