改进了白腿 Penaeus (Litopenaeus) vannamei的基因组组装,使用来自公共数据库的长读和短读序列
Ricardo Perez-Enriquez1, Oscar E Juárez1,2, Pavel Galindo-Torres1
1Aquaculture Program, Centro de Investigaciones Biológicas del Noroeste, S.C., La Paz, B.C.S., Mexico.
The Journal of heredity
|March 7, 2024
概括
这项研究显著改善了太平洋白腿 (Penaeus vannamei) 的基因组组合,使用长读测序. 增强的基因组为水产养殖研究和理解遗传学提供了更好的参考.
科学领域:
- 水产养殖基因组学 水产养殖基因组学
- 进行比较基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 太平洋白腿 (Penaeus vannamei) 对全球水产养殖至关重要,但其参考基因组是不完整的.
- 现有的基因组资源限制了对遗传学和繁殖的全面研究.
研究的目的:
- 使用先进的测序技术改进P. vannamei参考基因组组.
- 为水产养殖,进化和遗传研究提供更强大的基因组资源.
主要方法:
- 使用了来自14个库的PacBio长读序列数据 (131.2 Gb).
- 装配是用Illumina短读器抛光的,并使用相关的基因组进行了支架.
- 以参考指导的组装产生了44个伪染色体和15682个支架.
主要成果:
- 新组件的基因组大小为2.055 Gb,N50为40.14 Mb.
- 超过92.6%的Arthropoda_odb10正基因被检测为完整的.
- 转录组数据显示>99%与新组合对齐,并绘制了21000多个遗传标记.
结论:
- 这种改进的P. vannamei基因组组合与以前的版本相比是一个显著的进步.
- 增强的基因组将促进对进化史,特征遗传学和养殖群的多样性研究.
- 它作为未来在养殖中的遗传和育种计划的宝贵参考.
相关概念视频
Genome Annotation and Assembly
18.8K
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
18.8K
RNA-seq
10.0K
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...
10.0K


