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

Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...

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

The dynamic mesoscale sink and source niches for eukaryotic phytoplankton in a subtropical gyre.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Vicennial metagenomic time series unveils evolutionary dynamics of giant viruses in a freshwater ecosystem.

Nature communications·2026
Same author

Hunting for new lineages and mechanisms of life.

Nature microbiology·2026
Same author

Complex viral interactions revealed for the harmful bloom-forming dinoflagellate <i>Karenia brevis</i>.

ISME communications·2026
Same author

Prokaryotic bias in surface ocean particles.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

<i>Methanothermococcus jasoni</i> sp. nov., a novel thermophilic methanogen from subseafloor hydrothermal vent fluids of Axial Seamount, Juan de Fuca Ridge.

International journal of systematic and evolutionary microbiology·2026

相关实验视频

Updated: Jun 7, 2025

Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing
07:21

Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing

Published on: August 25, 2018

12.8K

缺少微生物真核生物和误导性的元原子结论.

Arianna I Krinos1,2,3,4, Margaret Mars Brisbin5,6,7, Sarah K Hu8

  • 1MIT-WHOI Joint Program in Oceanography/Applied Ocean Science and Engineering, Cambridge and Woods Hole, Cambridge, MA, USA. akrinos@whoi.edu.

Nature communications
|November 14, 2024
PubMed
概括

在meta-omics中准确的protistan分类注释依赖于强大的数据库策划和集群方法. 这项研究强调了序列聚类,而不是精确的标签,如何改善环境数据集的社区组成估计.

更多相关视频

Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere
09:55

Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere

Published on: May 2, 2018

26.7K
Compost Microcosms as Microbially Diverse, Natural-like Environments for Microbiome Research in Caenorhabditis elegans
07:19

Compost Microcosms as Microbially Diverse, Natural-like Environments for Microbiome Research in Caenorhabditis elegans

Published on: September 13, 2022

2.2K

相关实验视频

Last Updated: Jun 7, 2025

Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing
07:21

Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing

Published on: August 25, 2018

12.8K
Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere
09:55

Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere

Published on: May 2, 2018

26.7K
Compost Microcosms as Microbially Diverse, Natural-like Environments for Microbiome Research in Caenorhabditis elegans
07:19

Compost Microcosms as Microbially Diverse, Natural-like Environments for Microbiome Research in Caenorhabditis elegans

Published on: September 13, 2022

2.2K

科学领域:

  • 微生物真核生物生态学
  • 生物信息学是一种生物信息学.
  • 转基因组学是指转基因组学.

背景情况:

  • 转基因学能够对微生物真核生物进行大规模分析,包括绘制分布图和推断功能角色.
  • 准确的分类学注释对于解释微生物真核生物群落在现场至关重要.
  • 目前用于对原生态元原子数据进行分类学注释的现有方法存在潜在的陷.

研究的目的:

  • 探索原生态元原子数据集的分类学注释中的潜在陷.
  • 为了说明数据库完整性和策划对于准确的环境解释的重要性.
  • 为准确的分类学注释提出基于集群的方法.

主要方法:

  • 在三个分类层次层次上重新分析了三个环境数据集.
  • 从序列集群对准精确序列标签的分类学成员的比较.
  • 评估数据库完整性和策划对注释准确性的影响.

主要成果:

  • 序列集群的分类学成员资格提供了比精确序列标签更准确的社区组成估计.
  • 集群重叠可以减轻来自不完整数据库的缺陷.
  • 聚类方法有效地利用各种环境中现有的注释数据.

结论:

  • 对遗传资源的持续策划对于在meta-omic数据集中准确的protistan注释至关重要.
  • 选择和评估数据库对于正确的分类学注释至关重要.
  • 对meta-omic数据的精确分类学注释最好将其视为一个聚类问题,而不是一个对齐问题.