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{"title":"Effector Repertoire of the Sweetpotato Black Rot Fungal Pathogen <i>Ceratocystis fimbriata</i>.","authors":"Camilo H Parada-Rojas, Madison Stahr, Kevin L Childs, Lina M Quesada-Ocampo","doi":"10.1094/MPMI-09-23-0146-FI","DOIUrl":null,"url":null,"abstract":"<p><p>In 2015, sweetpotato producers in the United States experienced one of the worst outbreaks of black rot recorded in history, with up to 60% losses reported in the field and packing houses and at shipping ports. Host resistance remains the ideal management tool to decrease crop losses. Lack of knowledge of <i>Ceratocystis fimbriata</i> biology represents a critical barrier for the deployment of resistance to black rot in sweetpotato. In this study, we scanned the recent near chromosomal-level assembly for putative secreted effectors in the sweetpotato <i>C. fimbriata</i> isolate AS236 using a custom fungal effector annotation pipeline. We identified a set of 188 putative effectors on the basis of secretion signal and in silico prediction in EffectorP. We conducted a deep RNA time-course sequencing experiment to determine whether <i>C. fimbriata</i> modulates effectors in planta and to define a candidate list of effectors expressed during infection. We examined the expression profile of two <i>C. fimbriata</i> isolates, a pre-epidemic (1990s) isolate and a post-epidemic (2015) isolate. Our in planta expression profiling revealed clusters of co-expressed secreted effector candidates. Based on fold-change differences of putative effectors in both isolates and over the course of infection, we suggested prioritization of 31 effectors for functional characterization. Among this set, we identified several effectors that provide evidence for a marked biotrophic phase in <i>C. fimbriata</i> during infection of sweetpotato storage roots. Our study revealed a catalog of effector proteins that provide insight into <i>C. fimbriata</i> infection mechanisms and represent a core catalog to implement effector-assisted breeding in sweetpotato. [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":"315-326"},"PeriodicalIF":3.2000,"publicationDate":"2024-03-01","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-09-23-0146-FI","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/4/1 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
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Abstract
In 2015, sweetpotato producers in the United States experienced one of the worst outbreaks of black rot recorded in history, with up to 60% losses reported in the field and packing houses and at shipping ports. Host resistance remains the ideal management tool to decrease crop losses. Lack of knowledge of Ceratocystis fimbriata biology represents a critical barrier for the deployment of resistance to black rot in sweetpotato. In this study, we scanned the recent near chromosomal-level assembly for putative secreted effectors in the sweetpotato C. fimbriata isolate AS236 using a custom fungal effector annotation pipeline. We identified a set of 188 putative effectors on the basis of secretion signal and in silico prediction in EffectorP. We conducted a deep RNA time-course sequencing experiment to determine whether C. fimbriata modulates effectors in planta and to define a candidate list of effectors expressed during infection. We examined the expression profile of two C. fimbriata isolates, a pre-epidemic (1990s) isolate and a post-epidemic (2015) isolate. Our in planta expression profiling revealed clusters of co-expressed secreted effector candidates. Based on fold-change differences of putative effectors in both isolates and over the course of infection, we suggested prioritization of 31 effectors for functional characterization. Among this set, we identified several effectors that provide evidence for a marked biotrophic phase in C. fimbriata during infection of sweetpotato storage roots. Our study revealed a catalog of effector proteins that provide insight into C. fimbriata infection mechanisms and represent a core catalog to implement effector-assisted breeding in sweetpotato. [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.
甘薯黑腐病病原体 Ceratocystis fimbriata 的效应谱系。
2015 年,美国甘薯生产者经历了有史以来最严重的一次黑腐病爆发,据报道,田间、包装厂和运输港口的损失高达 60%。寄主抗性仍然是减少作物损失的理想管理工具。对 Ceratocystis fimbriata 生物学知识的缺乏是甘薯黑腐病抗性部署的关键障碍。在本研究中,我们使用定制的真菌效应器注释管道扫描了最近的近染色体水平组装,以寻找甘薯 C. fimbriata 分离物 AS236 中的推定分泌效应器。根据分泌信号和 EffectorP 中的硅预测,我们确定了一组 188 种推定效应物。我们进行了深度 RNA 时程测序实验,以确定 C. fimbriata 是否会调节植物体内的效应物,并确定了感染期间表达的效应物候选列表。我们研究了两种 C. fimbriata 分离物的表达谱,一种是流行前(1990 年代)的分离物,另一种是流行后(2015 年)的分离物。我们的植物体内表达谱分析揭示了共同表达的候选分泌效应物群。根据假定效应物在两种分离物中和感染过程中的折叠变化差异,我们建议优先选择 31 种效应物进行功能表征。在这组效应子中,我们发现了几种效应子,它们为 C. fimbriata 在甘薯贮藏根感染过程中的明显生物营养阶段提供了证据。我们的研究揭示了一个效应蛋白目录,这些蛋白提供了对 C. fimbriata 感染机制的深入了解,并代表了在甘薯中实施效应蛋白辅助育种的核心目录。
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