使用SNP标记器构建核心集合的方法
J Aravind1, Ankit Saroha2, Dhammaprakash Pandhari Wankhede3
1ICAR-National Bureau of Plant Genetic Resources, New Delhi, India. j.aravind@icar.org.in.
Methods in molecular biology (Clifton, N.J.)
|October 1, 2025
概括
核心收藏有助于利用基因库进行作物多样性管理. 新方法利用分子数据 (SNP) 来优化核心集的开发,改善对遗传资源的获取.
科学领域:
- 农业科学 农业科学
- 遗传学 是一个遗传学.
- 生物信息学是一种生物信息学.
背景情况:
- 基因库保存了丰富的作物生殖细胞质集合.
- 核心收藏方便管理和访问这种多样性.
- 传统的方法依赖于护照和表型数据.
研究的目的:
- 探索构建作物核心集合的先进方法.
- 为了证明分子标记数据在核心集开发中的实用性.
主要方法:
- 使用来自高通量技术的单核酸多态 (SNP) 数据.
- 应用基于优化的算法来构建核心集.
- 插图软件实现,如PowerCore,核心猎人3,核心Collection,和ShinyCore. 这是一个很好的例子.
主要成果:
- 分子数据可以更高效,更准确地创建核心集.
- 优化算法有效地利用SNP数据来捕获多样性.
- 软件工具为实现这些方法提供了实际手段.
结论:
- 现代分子数据显著提高了作物核心收藏的发展.
- 利用SNP数据和计算工具改善了作物多样性的表示.
- 这种方法优化了宝贵的生殖质资源的管理和可访问性.
相关概念视频
Single Nucleotide Polymorphisms-SNPs
17.9K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
17.9K
Comparing Copy Number Variations and SNPs
18.6K
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
18.6K
Sanger Sequencing
773.3K
DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
773.3K
Next-generation Sequencing
97.8K
The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
97.8K
DNA Microarrays
20.7K
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
20.7K
RNA-seq
11.8K
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...
11.8K


