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

Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes

12.3K
The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
12.3K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.7K
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

7.9K
While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
7.9K
The Evidence for Evolution02:55

The Evidence for Evolution

42.7K
Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.
42.7K
Overview of Metabolism01:40

Overview of Metabolism

29.8K
Living cells constantly carry out various chemical reactions which are necessary for their proper functioning. These reactions are interlinked to one another via multiple pathways. The collection of these chemical reactions is known as metabolism.
Plant Metabolism
Sunlight, the primary source of energy in plants, is first absorbed by the chlorophyll pigments present in their leaves. Plants then use this energy to carry out photosynthesis, where water is oxidized into oxygen and carbon dioxide...
29.8K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

7.1K
The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
7.1K

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

Evidence of dark oxygen production at the abyssal seafloor.

Nature geoscience·2026
Same author

Metabolic blueprints of monocultures enable prediction and design of synthetic microbial consortia.

bioRxiv : the preprint server for biology·2026
Same author

Dynamic metabolic modelling of ATP allocation during viral infection.

Journal of the Royal Society, Interface·2026
Same author

Reduced methane emissions in transgenic rice genotypes are associated with altered rhizosphere microbial hydrogen cycling.

Nature communications·2026
Same author

hypeR-GEM: connecting metabolite signatures to enzyme-coding genes via genome-scale metabolic models.

bioRxiv : the preprint server for biology·2025
Same author

Inorganic nitrogen and organic matter jointly regulate ectomycorrhizal fungi-mediated iron acquisition.

The New phytologist·2025

相关实验视频

Updated: Jun 22, 2025

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.3K

代谢复杂性推动了微生物群落的分歧.

Michael R Silverstein1,2, Jennifer M Bhatnagar1,3, Daniel Segrè4,5,6,7

  • 1Bioinformatics Program, Faculty of Computing and Data Science, Boston University, Boston, MA, USA.

Nature ecology & evolution
|July 2, 2024
PubMed
概括

微生物群落聚集在简单的环境中,但随着代谢复杂性的增加而分离. 这种分歧-复杂性效应是由社区多样性和专业微生物驱动的,影响微生物组工程.

更多相关视频

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
11:22

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Published on: October 15, 2019

27.9K
Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources
12:47

Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources

Published on: January 22, 2018

9.4K

相关实验视频

Last Updated: Jun 22, 2025

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.3K
Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
11:22

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Published on: October 15, 2019

27.9K
Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources
12:47

Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources

Published on: January 22, 2018

9.4K

科学领域:

  • 微生物学 微生物学
  • 生态生态学 生态生态学
  • 系统生物学 系统生物学

背景情况:

  • 微生物群落受到环境代谢物的影响.
  • 管理社区融合或分歧的原则尚未完全理解.
  • 这种知识差距给微生物组工程带来了挑战.

研究的目的:

  • 为了研究微生物群落的纵向组装动态.
  • 了解代谢复杂性如何影响社区的融合和分歧.
  • 探索微生物组工程的可行性.

主要方法:

  • 在实验室条件下研究自然微生物群落.
  • 多样化的环境代谢复杂性.
  • 分析了社区的组成和多样性.
  • 开发了一个社区动态的生态模型.

主要成果:

  • 社区在代谢简单的条件下汇聚在一起.
  • 随着新陈代谢复杂性的增加,社区的组成有所不同 (分歧-复杂性效应).
  • 差异是由社区多样性和专业种群降解复杂代谢物驱动的.
  • 一个生态模型成功地总结了实验观察结果.

结论:

  • 代谢和交叉养的等级结构是微生物社区聚集的关键驱动因素.
  • 差异复杂性效应解释了环境如何支持多个社区状态.
  • 结果为微生物组工程和预测生态系统功能提供了洞察力.