• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

隐匿于众目睽睽之下:挖掘细菌物种记录中的表型特征信息

Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information.

作者信息

Barberán Albert, Caceres Velazquez Hildamarie, Jones Stuart, Fierer Noah

机构信息

Department of Soil, Water, and Environmental Science, University of Arizona, Tucson, Arizona, USA.

Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA.

出版信息

mSphere. 2017 Aug 2;2(4). doi: 10.1128/mSphere.00237-17. eCollection 2017 Jul-Aug.

DOI:10.1128/mSphere.00237-17
PMID:28776041
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5541158/
Abstract

Cultivation in the laboratory is essential for understanding the phenotypic characteristics and environmental preferences of bacteria. However, basic phenotypic information is not readily accessible. Here, we compiled phenotypic and environmental tolerance information for >5,000 bacterial strains described in the (IJSEM) with all information made publicly available in an updatable database. Although the data span 23 different bacterial phyla, most entries described aerobic, mesophilic, neutrophilic strains from (mainly - and ), , , and isolated from soils, marine habitats, and plants. Most of the routinely measured traits tended to show a significant phylogenetic signal, although this signal was weak for environmental preferences. We demonstrated how this database could be used to link genomic attributes to differences in pH and salinity optima. We found that adaptations to high salinity or high-pH conditions are related to cell surface transporter genes, along with previously uncharacterized genes that might play a role in regulating environmental tolerances. Together, this work highlights the utility of this database for associating bacterial taxonomy, phylogeny, or specific genes to measured phenotypic traits and emphasizes the need for more comprehensive and consistent measurements of traits across a broader diversity of bacteria. Cultivation in the laboratory is key for understanding the phenotypic characteristics, growth requirements, metabolism, and environmental preferences of bacteria. However, oftentimes, phenotypic information is not easily accessible. Here, we compiled phenotypic and environmental tolerance information for >5,000 bacterial strains described in the (IJSEM). We demonstrate how this database can be used to link bacterial taxonomy, phylogeny, or specific genes to measured phenotypic traits and environmental preferences. The phenotypic database can be freely accessed (https://doi.org/10.6084/m9.figshare.4272392), and we have included instructions for researchers interested in adding new entries or curating existing ones.

摘要

在实验室中培养对于了解细菌的表型特征和环境偏好至关重要。然而,基本的表型信息并不容易获取。在此,我们汇编了《国际系统与进化微生物学杂志》(IJSEM)中描述的5000多种细菌菌株的表型和环境耐受性信息,并将所有信息公开提供在一个可更新的数据库中。尽管数据涵盖23个不同的细菌门,但大多数条目描述的是来自变形菌门(主要是α-、β-、γ-和δ-变形菌纲)、放线菌门、厚壁菌门、拟杆菌门,从土壤、海洋栖息地和植物中分离出的需氧、嗜温、嗜中性菌株。大多数常规测量的性状往往显示出显著的系统发育信号,尽管这种信号对于环境偏好来说较弱。我们展示了如何利用这个数据库将基因组属性与最适pH值和盐度的差异联系起来。我们发现,对高盐或高pH条件的适应与细胞表面转运蛋白基因以及可能在调节环境耐受性中发挥作用的先前未表征的基因有关。总之,这项工作突出了该数据库在将细菌分类学、系统发育或特定基因与测量的表型性状相关联方面的实用性,并强调了对更广泛的细菌多样性进行更全面和一致的性状测量的必要性。在实验室中培养是了解细菌的表型特征、生长需求、代谢和环境偏好的关键。然而,通常情况下,表型信息并不容易获取。在此,我们汇编了《国际系统与进化微生物学杂志》(IJSEM)中描述的5000多种细菌菌株的表型和环境耐受性信息。我们展示了如何利用这个数据库将细菌分类学、系统发育或特定基因与测量的表型性状和环境偏好联系起来。该表型数据库可免费访问(https://doi.org/10.6084/m9.figshare.4272392),并且我们为有兴趣添加新条目或整理现有条目的研究人员提供了说明。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/593a/5541158/f286367abf99/sph0041723340003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/593a/5541158/bbfe9e758ca7/sph0041723340001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/593a/5541158/ac4828f2ba47/sph0041723340002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/593a/5541158/f286367abf99/sph0041723340003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/593a/5541158/bbfe9e758ca7/sph0041723340001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/593a/5541158/ac4828f2ba47/sph0041723340002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/593a/5541158/f286367abf99/sph0041723340003.jpg

相似文献

1
Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information.隐匿于众目睽睽之下:挖掘细菌物种记录中的表型特征信息
mSphere. 2017 Aug 2;2(4). doi: 10.1128/mSphere.00237-17. eCollection 2017 Jul-Aug.
2
Phylogenetic signal in phenotypic traits related to carbon source assimilation and chemical sensitivity in Acinetobacter species.种系发生信号在与碳源同化和化学敏感性相关的表型特征中在不动杆菌属物种中。
Appl Microbiol Biotechnol. 2017 Jan;101(1):367-379. doi: 10.1007/s00253-016-7866-0. Epub 2016 Oct 12.
3
Isolation of novel bacteria, including a candidate division, from geothermal soils in New Zealand.从新西兰地热土壤中分离新型细菌,包括候选菌门。
Environ Microbiol. 2008 Aug;10(8):2030-41. doi: 10.1111/j.1462-2920.2008.01621.x. Epub 2008 Apr 15.
4
Molecular analysis of bacterial communities in uranium ores and surrounding soils from Banduhurang open cast uranium mine, India: A comparative study.对印度班杜胡朗露天铀矿铀矿石及周围土壤中的细菌群落进行分子分析:一项比较研究。
J Environ Sci Health A Tox Hazard Subst Environ Eng. 2011;46(3):271-80. doi: 10.1080/10934529.2011.535433.
5
Why are some microbes more ubiquitous than others? Predicting the habitat breadth of soil bacteria.为什么有些微生物比其他微生物更普遍存在?预测土壤细菌的栖息地广度。
Ecol Lett. 2014 Jul;17(7):794-802. doi: 10.1111/ele.12282. Epub 2014 Apr 22.
6
Phylogeny of Proteobacteria and Bacteroidetes from oxic habitats of a tidal flat ecosystem.潮滩生态系统有氧生境中变形菌门和拟杆菌门的系统发育
FEMS Microbiol Ecol. 2005 Nov 1;54(3):351-65. doi: 10.1016/j.femsec.2005.04.008.
7
Diversity and ecological tolerance of bacteria isolated from the rhizosphere of halophyton plants living nearby Kiskunság soda ponds, Hungary.从匈牙利基什孔绍德盐碱湖附近生长的盐生植物根际分离出的细菌的多样性和生态耐受性。
Acta Microbiol Immunol Hung. 2015 Jun;62(2):183-97. doi: 10.1556/030.62.2015.2.8.
8
Correlating enzyme annotations with a large set of microbial growth temperatures reveals metabolic adaptations to growth at diverse temperatures.将酶注释与大量微生物生长温度相关联,揭示了微生物对不同温度下生长的代谢适应。
BMC Microbiol. 2018 Nov 6;18(1):177. doi: 10.1186/s12866-018-1320-7.
9
[Diversity of culturable bacteria associated with the sea urchin Hemicentrotus pulcherrimus from Naozhou Island].[与硇洲岛光棘球海胆相关的可培养细菌的多样性]
Wei Sheng Wu Xue Bao. 2009 Nov;49(11):1424-9.
10
Building a genome-based understanding of bacterial pH preferences.基于基因组构建对细菌 pH 偏好的理解。
Sci Adv. 2023 Apr 28;9(17):eadf8998. doi: 10.1126/sciadv.adf8998.

引用本文的文献

1
Gelling and reducing agents are potential carbon and energy sources in culturing of anaerobic microorganisms.胶凝剂和还原剂在厌氧微生物培养中是潜在的碳源和能源。
Appl Environ Microbiol. 2025 Mar 19;91(3):e0227624. doi: 10.1128/aem.02276-24. Epub 2025 Feb 12.
2
Leveraging genomic information to predict environmental preferences of bacteria.利用基因组信息预测细菌的环境偏好。
ISME J. 2024 Jan 8;18(1). doi: 10.1093/ismejo/wrae195.
3
clade and functional distribution with simulated climate change.进化枝和功能分布与模拟气候变化。

本文引用的文献

1
From Genomes to Phenotypes: Traitar, the Microbial Trait Analyzer.从基因组到表型:Traitar,微生物性状分析仪。
mSystems. 2016 Dec 27;1(6). doi: 10.1128/mSystems.00101-16. eCollection 2016 Nov-Dec.
2
Microbial phenomics information extractor (MicroPIE): a natural language processing tool for the automated acquisition of prokaryotic phenotypic characters from text sources.微生物表型组学信息提取器(MicroPIE):一种用于从文本来源自动获取原核生物表型特征的自然语言处理工具。
BMC Bioinformatics. 2016 Dec 13;17(1):528. doi: 10.1186/s12859-016-1396-8.
3
Decoupling function and taxonomy in the global ocean microbiome.
Microbiol Spectr. 2024 May 2;12(5):e0023624. doi: 10.1128/spectrum.00236-24. Epub 2024 Apr 4.
4
The phenotype and genotype of fermentative prokaryotes.发酵原核生物的表型和基因型。
Sci Adv. 2023 Sep 29;9(39):eadg8687. doi: 10.1126/sciadv.adg8687. Epub 2023 Sep 27.
5
Genome content predicts the carbon catabolic preferences of heterotrophic bacteria.基因组内容预测异养细菌的碳分解代谢偏好。
Nat Microbiol. 2023 Oct;8(10):1799-1808. doi: 10.1038/s41564-023-01458-z. Epub 2023 Aug 31.
6
Linking niche size and phylogenetic signals to predict future soil microbial relative abundances.将生态位大小和系统发育信号联系起来以预测未来土壤微生物的相对丰度。
Front Microbiol. 2023 Aug 14;14:1097909. doi: 10.3389/fmicb.2023.1097909. eCollection 2023.
7
From genotype to phenotype: computational approaches for inferring microbial traits relevant to the food industry.从基因型到表型:推断与食品工业相关的微生物特性的计算方法。
FEMS Microbiol Rev. 2023 Jul 5;47(4). doi: 10.1093/femsre/fuad030.
8
Searching for Principles of Microbial Ecology Across Levels of Biological Organization.在生物组织的各个层次上搜索微生物生态学原理。
Integr Comp Biol. 2023 Dec 29;63(6):1520-1531. doi: 10.1093/icb/icad060.
9
The core mangrove microbiome reveals shared taxa potentially involved in nutrient cycling and promoting host survival.核心红树林微生物群落揭示了可能参与养分循环和促进宿主生存的共享分类群。
Environ Microbiome. 2023 Jun 1;18(1):47. doi: 10.1186/s40793-023-00499-5.
10
Building a genome-based understanding of bacterial pH preferences.基于基因组构建对细菌 pH 偏好的理解。
Sci Adv. 2023 Apr 28;9(17):eadf8998. doi: 10.1126/sciadv.adf8998.
全球海洋微生物组中功能与分类的解耦。
Science. 2016 Sep 16;353(6305):1272-7. doi: 10.1126/science.aaf4507.
4
Status of the Archaeal and Bacterial Census: an Update.古菌和细菌普查现状:最新情况
mBio. 2016 May 17;7(3):e00201-16. doi: 10.1128/mBio.00201-16.
5
The Transporter Classification Database (TCDB): recent advances.转运蛋白分类数据库(TCDB):最新进展
Nucleic Acids Res. 2016 Jan 4;44(D1):D372-9. doi: 10.1093/nar/gkv1103. Epub 2015 Nov 5.
6
Microbiomes in light of traits: A phylogenetic perspective.从特征看微生物组:系统发育观点。
Science. 2015 Nov 6;350(6261):aac9323. doi: 10.1126/science.aac9323.
7
MICROBIOME. A unified initiative to harness Earth's microbiomes.微生物群落。一项利用地球微生物群落的统一倡议。
Science. 2015 Oct 30;350(6260):507-8. doi: 10.1126/science.aac8480. Epub 2015 Oct 28.
8
BacDive--The Bacterial Diversity Metadatabase in 2016.BacDive——2016年细菌多样性元数据库。
Nucleic Acids Res. 2016 Jan 4;44(D1):D581-5. doi: 10.1093/nar/gkv983. Epub 2015 Sep 30.
9
Predicting microbial traits with phylogenies.利用系统发育学预测微生物特征。
ISME J. 2016 Apr;10(4):959-67. doi: 10.1038/ismej.2015.171. Epub 2015 Sep 15.
10
Microbial forensics: predicting phenotypic characteristics and environmental conditions from large-scale gene expression profiles.微生物法医学:从大规模基因表达谱预测表型特征和环境条件。
PLoS Comput Biol. 2015 Mar 16;11(3):e1004127. doi: 10.1371/journal.pcbi.1004127. eCollection 2015 Mar.