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与田间种植生菜相关的可培养叶面真菌的生物合成潜力

Biosynthetic potential of the culturable foliar fungi associated with field-grown lettuce.

作者信息

Arad Neda, Spraker Joseph, Garcia Kayla, Pauli Duke, Arnold A Elizabeth

机构信息

School of Plant Sciences, The University of Arizona, 1140 E South Campus Drive, Forbes 303, Tucson, AZ, 85721, USA.

Ecosystem Genomics Graduate Interdisciplinary Program, The University of Arizona, 1140 E South Campus Drive, Forbes 303, Tucson, AZ, USA.

出版信息

Appl Microbiol Biotechnol. 2025 Sep 9;109(1):197. doi: 10.1007/s00253-025-13581-4.

Abstract

Fungal endophytes and epiphytes associated with plant leaves can play important ecological roles through the production of specialized metabolites encoded by biosynthetic gene clusters (BGCs). However, their functional capacity, especially in crops like lettuce (Lactuca sativa L.), remains poorly understood. We sequenced the genomes of nine fungal isolates, representing Fusarium sp., Fulvia sp., Alternaria alternata, and Alternaria postmessia, from leaves of lettuce grown under field conditions in Arizona, USA. We used antibiotics and secondary metabolite analysis shell (antiSMASH) and the database for automated carbohydrate-active enzyme annotation (dbCAN3), to predict BGCs and carbohydrate-active enzymes (CAZymes) for each strain, and then compared them to conspecific strains from other environments and substrates. Foliar lettuce-associated fungi featured 39-95 BGCs per genome, with substantial overlap between isolates occurring in association with lettuce leaves vs. from other substrates. Species identity was a significant determinant of BGC count, while host type, isolation source, and lifestyle were not. Several BGCs, including those for alternariol and 1,3,6,8-Tetrahydroxynaphthalene (T4HN), showed 100% similarity to characterized minimum information about a biosynthetic gene cluster (MIBiG) clusters based on antiSMASH predictions. Although analysis by biosynthetic gene similarity clustering and prospecting engine (BiG-SCAPE) identified gene cluster families (GCFs) across the dataset, these reference-matching clusters were not always grouped, reflecting methodological differences in how the tools assess similarity. Comparative CAZyme analysis in a focal species (Fulvia sp.) revealed higher gene counts in a foliar lettuce-derived isolate than in tomato (Solanum lycopersicum)-associated strains, challenging assumptions about host chemical complexity. These results highlight the importance of phylogenetic context in shaping fungal functional potential and suggest that selection on microbial traits in edible leafy crops may be more subtle and species-specific than previously assumed. KEY POINTS: • Lettuce-associated fungi feature diverse biosynthetic potential • Phylogeny predicts fungal BGC content more strongly than ecological lifestyle • Findings support genome-informed microbiome strategies for leafy crops.

摘要

与植物叶片相关的真菌内生菌和附生菌可通过产生由生物合成基因簇(BGCs)编码的特殊代谢产物发挥重要的生态作用。然而,它们的功能能力,尤其是在生菜(Lactuca sativa L.)等作物中的功能能力,仍知之甚少。我们对来自美国亚利桑那州田间种植的生菜叶片的9种真菌分离株进行了基因组测序,这些分离株分别代表镰刀菌属、富尔维亚属、链格孢和后梅西链格孢。我们使用抗生素和次生代谢产物分析外壳(antiSMASH)以及自动碳水化合物活性酶注释数据库(dbCAN3)来预测每个菌株的BGCs和碳水化合物活性酶(CAZymes),然后将它们与来自其他环境和底物的同种菌株进行比较。与生菜叶片相关的真菌每个基因组有39 - 95个BGCs,与生菜叶片相关的分离株和来自其他底物的分离株之间存在大量重叠。物种身份是BGC数量的一个重要决定因素,而宿主类型、分离来源和生活方式则不是。包括交链孢酚和1,3,6,8 - 四羟基萘(T4HN)的几个BGCs,根据antiSMASH预测,与已表征的生物合成基因簇最小信息(MIBiG)簇显示出100%的相似性。尽管通过生物合成基因相似性聚类和勘探引擎(BiG - SCAPE)分析在整个数据集中鉴定出了基因簇家族(GCFs),但这些参考匹配簇并不总是聚集在一起,这反映了工具评估相似性的方法差异。对一个重点物种(富尔维亚属)的CAZyme比较分析显示,来自生菜叶片的分离株中的基因数量高于与番茄(Solanum lycopersicum)相关的菌株,这对关于宿主化学复杂性的假设提出了挑战。这些结果突出了系统发育背景在塑造真菌功能潜力方面的重要性,并表明对可食用叶菜类作物中微生物性状的选择可能比以前假设的更加微妙和具有物种特异性。要点:• 与生菜相关的真菌具有多样的生物合成潜力 • 系统发育比生态生活方式更能预测真菌的BGC含量 • 研究结果支持基于基因组的叶菜类作物微生物组策略

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