细菌在哪里:在核苷酸数据库中通过描述符关键字搜索分析细菌门的分布。

Andrea Squartini
{"title":"细菌在哪里:在核苷酸数据库中通过描述符关键字搜索分析细菌门的分布。","authors":"Andrea Squartini","doi":"10.1186/2042-5783-1-7","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The associations between bacteria and environment underlie their preferential interactions with given physical or chemical conditions. Microbial ecology aims at extracting conserved patterns of occurrence of bacterial taxa in relation to defined habitats and contexts.</p><p><strong>Results: </strong>In the present report the NCBI nucleotide sequence database is used as dataset to extract information relative to the distribution of each of the 24 phyla of the bacteria superkingdom and of the Archaea. Over two and a half million records are filtered in their cross-association with each of 48 sets of keywords, defined to cover natural or artificial habitats, interactions with plant, animal or human hosts, and physical-chemical conditions. The results are processed showing: (a) how the different descriptors enrich or deplete the proportions at which the phyla occur in the total database; (b) in which order of abundance do the different keywords score for each phylum (preferred habitats or conditions), and to which extent are phyla clustered to few descriptors (specific) or spread across many (cosmopolitan); (c) which keywords individuate the communities ranking highest for diversity and evenness.</p><p><strong>Conclusions: </strong>A number of cues emerge from the results, contributing to sharpen the picture on the functional systematic diversity of prokaryotes. Suggestions are given for a future automated service dedicated to refining and updating such kind of analyses via public bioinformatic engines.</p>","PeriodicalId":18538,"journal":{"name":"Microbial Informatics and Experimentation","volume":"1 1","pages":"7"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/2042-5783-1-7","citationCount":"2","resultStr":"{\"title\":\"Where the bugs are: analyzing distributions of bacterial phyla by descriptor keyword search in the nucleotide database.\",\"authors\":\"Andrea Squartini\",\"doi\":\"10.1186/2042-5783-1-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The associations between bacteria and environment underlie their preferential interactions with given physical or chemical conditions. Microbial ecology aims at extracting conserved patterns of occurrence of bacterial taxa in relation to defined habitats and contexts.</p><p><strong>Results: </strong>In the present report the NCBI nucleotide sequence database is used as dataset to extract information relative to the distribution of each of the 24 phyla of the bacteria superkingdom and of the Archaea. Over two and a half million records are filtered in their cross-association with each of 48 sets of keywords, defined to cover natural or artificial habitats, interactions with plant, animal or human hosts, and physical-chemical conditions. The results are processed showing: (a) how the different descriptors enrich or deplete the proportions at which the phyla occur in the total database; (b) in which order of abundance do the different keywords score for each phylum (preferred habitats or conditions), and to which extent are phyla clustered to few descriptors (specific) or spread across many (cosmopolitan); (c) which keywords individuate the communities ranking highest for diversity and evenness.</p><p><strong>Conclusions: </strong>A number of cues emerge from the results, contributing to sharpen the picture on the functional systematic diversity of prokaryotes. Suggestions are given for a future automated service dedicated to refining and updating such kind of analyses via public bioinformatic engines.</p>\",\"PeriodicalId\":18538,\"journal\":{\"name\":\"Microbial Informatics and Experimentation\",\"volume\":\"1 1\",\"pages\":\"7\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1186/2042-5783-1-7\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Microbial Informatics and Experimentation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/2042-5783-1-7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microbial Informatics and Experimentation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/2042-5783-1-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

背景:细菌和环境之间的联系是它们在特定的物理或化学条件下优先相互作用的基础。微生物生态学的目的是提取与确定的栖息地和环境有关的细菌分类群的保守模式。结果:本报告使用NCBI核苷酸序列数据库作为数据集,提取了细菌超级王国和古生菌24门中每个门的分布信息。超过250万条记录通过48组关键字中的每一组进行交叉关联过滤,这些关键字的定义涵盖了自然或人工栖息地、与植物、动物或人类宿主的相互作用以及物理化学条件。处理结果显示:(a)不同描述符如何丰富或消耗该门在总数据库中出现的比例;(b)每个门的不同关键词得分的丰度顺序(首选栖息地或条件),以及门聚集在少数描述符(特定)或分布在许多描述符(世界性)的程度;(c)哪些关键词使多样性和均匀度排名最高的群落个性化。结论:这些结果为原核生物的功能系统多样性提供了新的线索。建议未来的自动化服务致力于通过公共生物信息引擎提炼和更新这类分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Where the bugs are: analyzing distributions of bacterial phyla by descriptor keyword search in the nucleotide database.

Where the bugs are: analyzing distributions of bacterial phyla by descriptor keyword search in the nucleotide database.

Background: The associations between bacteria and environment underlie their preferential interactions with given physical or chemical conditions. Microbial ecology aims at extracting conserved patterns of occurrence of bacterial taxa in relation to defined habitats and contexts.

Results: In the present report the NCBI nucleotide sequence database is used as dataset to extract information relative to the distribution of each of the 24 phyla of the bacteria superkingdom and of the Archaea. Over two and a half million records are filtered in their cross-association with each of 48 sets of keywords, defined to cover natural or artificial habitats, interactions with plant, animal or human hosts, and physical-chemical conditions. The results are processed showing: (a) how the different descriptors enrich or deplete the proportions at which the phyla occur in the total database; (b) in which order of abundance do the different keywords score for each phylum (preferred habitats or conditions), and to which extent are phyla clustered to few descriptors (specific) or spread across many (cosmopolitan); (c) which keywords individuate the communities ranking highest for diversity and evenness.

Conclusions: A number of cues emerge from the results, contributing to sharpen the picture on the functional systematic diversity of prokaryotes. Suggestions are given for a future automated service dedicated to refining and updating such kind of analyses via public bioinformatic engines.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信