Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Plant Breeding and Biotechnology01:59

Plant Breeding and Biotechnology

21.8K
Crop cultivation has a long history in human civilization, with records showing the cultivation of cereal plants beginning at around 8000 BC. This early plant breeding was developed primarily to provide a steady supply of food.
21.8K
What is Variation?01:14

What is Variation?

18.6K
Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
18.6K
Variation: Normal Distribution, Range, and Standard Deviation02:32

Variation: Normal Distribution, Range, and Standard Deviation

28.7K
In the field of psychology, there are several ways to organize measurements of a trait, feature, or characteristic (i.e., variables). Qualitative data, such as ethnicity, can be tabulated into a frequency count to provide information about the proportion, as well as the variety of groups in a sample or population. On the other hand, researchers can perform a wider set of calculations on quantitative data. The mean, mode, and median, for instance, are central tendency measures to identify a...
28.7K
Variation01:19

Variation

8.1K
An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
8.1K
Conservative Site-specific Recombination and Phase Variation02:53

Conservative Site-specific Recombination and Phase Variation

6.9K
Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
The recognition sites for Cre recombinase called LoxP...
6.9K
Ogive Graph01:07

Ogive Graph

6.9K
An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
6.9K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Fine mapping and characterization of the bitter gourd mature fruit-length QTL mfl5.1 reveals a lectin receptor-like kinase gene McLECRK1b controlling fruit elongation.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2026
Same author

Bilateral intranigral α-synuclein seeding in A53T transgenic mice drives early Parkinsonism and concurrent gut dysbiosis.

Biochemical and biophysical research communications·2026
Same author

Engineering glyphosate-resistant watermelon by prime editing.

Journal of integrative plant biology·2026
Same author

Natural variation in SlGRF10 reveals a role in regulating tomato fruit weight.

Plant physiology·2026
Same author

Microglial Nrf2 Activation Orchestrates Ferroptosis Inhibition and α-Synuclein Clearance in Parkinson's Disease.

International journal of molecular sciences·2026
Same author

CmBt and CmBr synergistically regulate cucurbitacin B biosynthesis in melon.

Plant physiology·2026

相关实验视频

Updated: Feb 12, 2026

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
08:49

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Published on: June 20, 2025

1.3K

基于图表的基因组揭示了黄瓜繁殖期间的结构变异动态.

Xuebo Zhao1, Jingyin Yu1,2, Jie Zhang3

  • 1Boyce Thompson Institute, Ithaca, NY, USA.

Nature genetics
|February 10, 2026
PubMed
概括

结构变异 (SV) 对植物多样性至关重要. 这项研究显示,在黄瓜化和扩张期间,SVs被清除,影响了育种和基因组预测模型.

更多相关视频

Uncovering Hidden Dynamics of Natural Photonic Structures Using Holographic Imaging
05:45

Uncovering Hidden Dynamics of Natural Photonic Structures Using Holographic Imaging

Published on: March 31, 2022

3.1K
Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
09:51

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Published on: July 16, 2017

16.1K

相关实验视频

Last Updated: Feb 12, 2026

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
08:49

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Published on: June 20, 2025

1.3K
Uncovering Hidden Dynamics of Natural Photonic Structures Using Holographic Imaging
05:45

Uncovering Hidden Dynamics of Natural Photonic Structures Using Holographic Imaging

Published on: March 31, 2022

3.1K
Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
09:51

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Published on: July 16, 2017

16.1K

科学领域:

  • 植物基因组学 植物基因组学
  • 人口遗传学 人口遗传学
  • 生物信息学是一种生物信息学.

背景情况:

  • 结构变异 (SV) 是植物基因组多样性的一个关键但未被充分研究的方面.
  • 了解 SV 对于作物改进和育种策略至关重要.

研究的目的:

  • 构建基于图形的黄瓜泛基因组,以分析结构变异多样性.
  • 调查黄瓜化和地理扩张期间SVs的动态.
  • 评估 SVs 对农学重要特征和基因组预测的影响.

主要方法:

  • 使用39个高质量的黄瓜基因组构建基于图的泛基因组.
  • 在447个加入国家中,对171,892个高度可靠的结构变异进行了鉴定和基因定型.
  • 在化和扩张期间对SV和单核酸多态 (SNP) 的比较分析.
  • 将SV负担集成到基因组预测模型中.

主要成果:

  • 黄瓜大基因组捕获了广泛的SV多样性.
  • 在化过程中,SVs被清除,与轻微有害的SNP不同,这表明它们具有高度有害的性质.
  • 地理扩张显示,SV负担减少,SV年轻,这表明强烈的净化选择.
  • 野生亲属的侵入增加了 SV 负担.
  • 纳入SV负担提高了农业学重要特征的预测准确度.

结论:

  • 结构变异在黄瓜基因组进化和化中发挥着重要作用.
  • 净化选择在人口扩张期间对SVs有强烈的影响.
  • 在繁殖中,SV负担是改善基因组预测模型的重要因素.