Deciphering taxon-specific metabolic shifts during pathogenic fungal infection in leaf-cutter ant fungal gardens.

IF 6.4 Q1 ECOLOGY
ISME communications Pub Date : 2026-07-23 eCollection Date: 2026-01-01 DOI:10.1093/ismeco/ycag213
Marija Veličković, Margaret W Thairu, Yuqian Gao, Chaevien S Clendinen, Nathalie Munoz, Priscila M Lalli, Carrie D Nicora, Kelly G Stratton, Matthew E Monroe, Ronald J Moore, Cameron R Currie, Ruonan Wu, Kristin E Burnum-Johnson
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Abstract

Leaf-cutter ant fungal gardens are a living library of bioeconomy solutions, where the mutualist fungus Leucoagaricus gongylophorus drives lignocellulose degradation and conversion into valuable bioproducts. However, these gardens are vulnerable to infection by the specialized pathogen Escovopsis weberi, which disrupts garden stability. Despite their ecological importance, the metabolic mechanisms underlying fungal-fungal competition and community-level responses to infection remain poorly understood. To address this gap, we experimentally infected six fungal garden consortia with E. weberi, establishing an infection gradient within each consortium, which we then systematically analyzed using a multi-omics approach. Metabolomic profiling revealed infection-induced alterations in metabolite abundance, while metaproteomic analysis identified fungal-specific shifts in protein levels across a spatiotemporal scale. The integration of multi-omics datasets across all fungal garden consortia provided a comprehensive view of the underlying pathways, revealing that the pathogenic fungus exploits nutrient supplies derived from lignocellulose degradation by native fungi. Reconstruction of active pathways enabled us to trace nutrient flow and map taxon-specific metabolic shifts in response to infection. Specifically, a distinct switch from lysine synthesis by native fungi to lysine catabolism orchestrated by pathogenic fungi. These findings offer a system-level perspective of the molecular alterations driving competitive interactions between native and pathogenic species within the fungal garden consortium. This study not only highlights the power of multi-omics approaches in unraveling the complexity of microbial consortia across ecological scales but also provides an integrated road map to efficiently harness microbiome data for deeper insights into microbial interactions and community responses to perturbations.

切叶蚁真菌园致病性真菌感染过程中分类群特异性代谢变化的解读。
切叶蚁真菌花园是一个生物经济解决方案的活图书馆,在那里,共生真菌白松菇推动木质纤维素降解并转化为有价值的生物产品。然而,这些花园很容易受到特殊病原体韦伯Escovopsis weberi的感染,破坏了花园的稳定性。尽管它们具有重要的生态意义,但真菌-真菌竞争和社区水平对感染的反应的代谢机制仍然知之甚少。为了解决这一差距,我们通过实验感染了6个真菌花园群落,在每个群落中建立了感染梯度,然后我们使用多组学方法对其进行了系统分析。代谢组学分析揭示了感染引起的代谢物丰度的改变,而元蛋白质组学分析确定了真菌在时空尺度上蛋白质水平的特异性变化。整合所有真菌花园联合体的多组学数据集提供了潜在途径的全面视图,揭示了病原真菌利用天然真菌降解木质纤维素的营养供应。活性途径的重建使我们能够追踪营养流动,并绘制分类群特异性代谢变化对感染的反应。具体来说,从原生真菌的赖氨酸合成到病原真菌的赖氨酸分解代谢的明显转变。这些发现提供了一个系统水平的观点,分子改变驱动本地和致病物种之间的竞争相互作用在真菌花园联盟。这项研究不仅强调了多组学方法在揭示跨生态尺度微生物联合体复杂性方面的力量,而且还提供了一个综合的路线图,以有效地利用微生物组数据,更深入地了解微生物相互作用和群落对扰动的反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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