Suppr超能文献

GallOnt:植物虫瘿表型的本体论。

GallOnt: An ontology for plant gall phenotypes.

作者信息

Deans Andrew R, Nastasi Louis Frank, Davis Charles

机构信息

Frost Entomological Museum, The Pennsylvania State University, University Park, United States of America Frost Entomological Museum, The Pennsylvania State University University Park United States of America.

出版信息

Biodivers Data J. 2024 Aug 26;12:e128585. doi: 10.3897/BDJ.12.e128585. eCollection 2024.

Abstract

Galls are novel plant structures that develop in response to select biotic stressors. These structures, extended phenotypes of the inducer, usually serve to protect and feed the inducer or its progeny. This life history strategy has evolved dozens of times, and tens of thousands of species - including many bacteria, fungi, nematodes, mites and insects - are capable of manipulating plants in this way. The variation in gall phenotypes is extraordinary across species but usually predictable for each species of inducer. We introduce here a new ontology, GallOnt, that facilitates consistent descriptions and the semantic representation of and reasoning over plant gall phenotype data. GallOnt was largely developed from ontologies in the Open Biological and Biomedical Ontology (OBO) Foundry and stands to connect plant gall phenotypes to knowledge derived from model plant systems, including genotype-phenotype and agricultural research. We also introduce the idea of a new gall data standard - Minimum Information for the Description of Galls (MIDG version 0.1) - as a starting point for discussions regarding cecidology best practices.

摘要

虫瘿是植物的新型结构,其发育是对特定生物胁迫的响应。这些结构是诱导者的扩展表型,通常用于保护诱导者或其后代并为其提供养分。这种生活史策略已经进化了数十次,成千上万的物种——包括许多细菌、真菌、线虫、螨虫和昆虫——都能够以这种方式操纵植物。不同物种间虫瘿表型的差异非常大,但对于每种诱导者物种来说通常是可预测的。我们在此引入一种新的本体论,即虫瘿本体论(GallOnt),它有助于对植物虫瘿表型数据进行一致的描述、语义表示和推理。GallOnt主要是基于开放生物和生物医学本体论(OBO)铸造厂中的本体论开发的,有望将植物虫瘿表型与从模式植物系统中获得的知识联系起来,包括基因型-表型和农业研究。我们还提出了一种新的虫瘿数据标准——虫瘿描述的最小信息(MIDG版本0.1)——作为关于虫瘿学最佳实践讨论的起点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eeae/11369494/5d9430e300c6/bdj-12-e128585-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验