求助PDF
{"title":"Decoding the Arsenal: Protist Effectors and Their Impact on Photosynthetic Hosts.","authors":"Soham Mukhopadhyay, Andrea Garvetto, Sigrid Neuhauser, Edel Pérez-López","doi":"10.1094/MPMI-11-23-0196-CR","DOIUrl":null,"url":null,"abstract":"<p><p>Interactions between various microbial pathogens including viruses, bacteria, fungi, oomycetes, and their plant hosts have traditionally been the focus of phytopathology. In recent years, a significant and growing interest in the study of eukaryotic microorganisms not classified among fungi or oomycetes has emerged. Many of these protists establish complex interactions with photosynthetic hosts, and understanding these interactions is crucial in understanding the dynamics of these parasites within traditional and emerging types of farming, including marine aquaculture. Many phytopathogenic protists are biotrophs with complex polyphasic life cycles, which makes them difficult or impossible to culture, a fact reflected in a wide gap in the availability of comprehensive genomic data when compared to fungal and oomycete plant pathogens. Furthermore, our ability to use available genomic resources for these protists is limited by the broad taxonomic distance that these organisms span, which makes comparisons with other genomic datasets difficult. The current rapid progress in genomics and computational tools for the prediction of protein functions and interactions is revolutionizing the landscape in plant pathology. This is also opening novel possibilities, specifically for a deeper understanding of protist effectors. Tools like AlphaFold2 enable structure-based function prediction of effector candidates with divergent protein sequences. In turn, this allows us to ask better biological questions and, coupled with innovative experimental strategies, will lead into a new era of effector research, especially for protists, to expand our knowledge on these elusive pathogens and their interactions with photosynthetic hosts. [Formula: see text] Copyright © 2024 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.</p>","PeriodicalId":19009,"journal":{"name":"Molecular Plant-microbe Interactions","volume":" ","pages":"498-506"},"PeriodicalIF":3.2000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Plant-microbe Interactions","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1094/MPMI-11-23-0196-CR","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/21 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
引用
批量引用
Abstract
Interactions between various microbial pathogens including viruses, bacteria, fungi, oomycetes, and their plant hosts have traditionally been the focus of phytopathology. In recent years, a significant and growing interest in the study of eukaryotic microorganisms not classified among fungi or oomycetes has emerged. Many of these protists establish complex interactions with photosynthetic hosts, and understanding these interactions is crucial in understanding the dynamics of these parasites within traditional and emerging types of farming, including marine aquaculture. Many phytopathogenic protists are biotrophs with complex polyphasic life cycles, which makes them difficult or impossible to culture, a fact reflected in a wide gap in the availability of comprehensive genomic data when compared to fungal and oomycete plant pathogens. Furthermore, our ability to use available genomic resources for these protists is limited by the broad taxonomic distance that these organisms span, which makes comparisons with other genomic datasets difficult. The current rapid progress in genomics and computational tools for the prediction of protein functions and interactions is revolutionizing the landscape in plant pathology. This is also opening novel possibilities, specifically for a deeper understanding of protist effectors. Tools like AlphaFold2 enable structure-based function prediction of effector candidates with divergent protein sequences. In turn, this allows us to ask better biological questions and, coupled with innovative experimental strategies, will lead into a new era of effector research, especially for protists, to expand our knowledge on these elusive pathogens and their interactions with photosynthetic hosts. [Formula: see text] Copyright © 2024 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.
解码武器库:原生动物效应物及其对光合作用宿主的影响。
各种微生物病原体(包括病毒、细菌、真菌、卵菌)与其植物宿主之间的相互作用历来是植物病理学的研究重点。近年来,人们对真菌和卵菌之外的真核微生物的研究兴趣日益浓厚。其中许多原生生物与光合宿主建立了复杂的相互作用,了解这些相互作用对于了解这些寄生虫在传统和新兴养殖业(包括海水养殖业)中的动态至关重要。许多植物病原原生动物都是生物营养体,具有复杂的多相生命周期,这使得它们难以或无法培养,与真菌和卵菌植物病原体相比,全面基因组数据的可用性存在很大差距。此外,我们利用现有基因组资源研究这些原生生物的能力也受到限制,因为这些生物在分类学上相距甚远,很难与其他基因组数据集进行比较。目前,用于预测蛋白质功能和相互作用的基因组学和计算工具进展迅速,正在彻底改变植物病理学的格局。这也为深入了解原生动物效应因子提供了新的可能性。Alphafold 等工具能够更好、更有针对性地预测不同蛋白质序列的功能。这反过来又能提出更好的生物学问题,再加上创新的实验策略,将引领我们进入效应物研究的新时代,尤其是对原生动物的研究,从而扩大我们对这些难以捉摸的病原体及其与光合宿主相互作用的了解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。