通过13c代谢通量分析绘制荚膜组织浆碳利用途径。

IF 4.6 2区 生物学 Q1 MICROBIOLOGY
mSystems Pub Date : 2025-09-08 DOI:10.1128/msystems.00569-25
Adrian Heckart, Jean-Christophe Cocuron, Stephanie C Ray, Gabriella F Matheny, Chad A Rappleye, Ana P Alonso
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引用次数: 0

摘要

荚膜组织浆体是一种在吞噬性免疫细胞内存活和增殖的人类真菌病原体。为了在营养有限的吞噬体环境中维持生长,病原酵母清除可利用的碳源,这些碳源必须通过中央碳代谢进行呼吸和生物质合成。然而,在致病性酵母期运作的组织浆体碳代谢途径尚未被广泛绘制。为了解决这一差距,我们采用了一种使用稳定同位素示踪剂的通量组学平台来量化中心碳代谢的细胞反应速率。该方法表明,在组织原体酵母中,碳存在于五个主要储存库中:脂肪酸、蛋白质、甘露醇、核酸和细胞壁成分。碳转化效率或生物质产量约为50%,表明补充的碳底物、葡萄糖和谷氨酸造成了大量的二氧化碳损失。13c标记分析表明糖酵解和糖异生同时发生,而富集的丝氨酸标记证实了丝氨酸生物合成中苏氨酸醛缩酶的活性。丙酮酸代谢的区隔化从丙酮酸衍生的氨基酸标记中可以明显看出,甲基柠檬酸循环被确定为标记丙酮酸的主要来源。值得注意的是,苹果酸酶和丙酮酸羧化酶的通量可以忽略不计,而线粒体反应,特别是产生二氧化碳的反应,是最活跃的。这些结果提供了洞察关键代谢反应,替代途径,代谢物/酶区隔在组织浆酵母代谢。这一基础框架支持未来旨在确定新型组织胞浆菌病治疗的代谢靶点的研究。据我们所知,这项研究代表了13c代谢通量分析首次应用于人类真菌病原体,我们确定了碳库并量化了致病性组织原体酵母的代谢通量。我们的研究结果表明,组织浆体将碳代谢到细胞呼吸中,以稳定地产生二氧化碳和能量,但也使用中枢代谢中的替代途径进行生物合成。鉴于其他病原真菌具有相似代谢特征的潜力,特别是生物量,我们的研究为破译真菌代谢提供了一个全面的框架,提供了对其感染激活代谢的见解,并为确定新的治疗靶点提供了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mapping carbon utilization pathways in Histoplasma capsulatum through 13C-metabolic flux analysis.

Histoplasma capsulatum is a human fungal pathogen that survives and proliferates within phagocytic immune cells. To sustain growth in the nutrient-limited phagosome environment, the pathogenic yeast scavenges available carbon sources, which must be metabolized through central carbon metabolism for respiration and biomass synthesis. However, Histoplasma carbon metabolic pathways operating in the pathogenic yeast phase have not been extensively mapped. To address this gap, we employed a fluxomic platform using stable isotope tracers to quantify the cellular reaction rates of central carbon metabolism. This approach revealed that, in Histoplasma yeasts, carbon resides within five main reservoirs: fatty acids, proteins, mannitol, nucleic acids, and cell wall components. Carbon conversion efficiency, or biomass yield, was approximately 50%, indicating substantial CO2 loss from supplemented carbon substrates, glucose, and glutamate. 13C-labeling analysis demonstrated simultaneous glycolysis and gluconeogenesis, and enriched serine labeling confirmed threonine aldolase activity in serine biosynthesis. Compartmentalization of pyruvate metabolism was evident from the labeling of amino acids derived from pyruvate, with the methylcitrate cycle identified as the primary source of labeled pyruvate. Notably, malic enzyme and pyruvate carboxylase exhibited negligible fluxes, while mitochondrial reactions, particularly CO2-producing ones, were the most active. These results offer insight into key metabolic reactions, alternative pathways, and metabolite/enzyme compartmentalization in Histoplasma yeast metabolism. This foundational framework supports future studies aimed at identifying metabolic targets for novel histoplasmosis therapeutics.IMPORTANCETo our knowledge, this study represents the first application of 13C-metabolic flux analysis to a human fungal pathogen, where we identified carbon reservoirs and quantified the metabolic fluxes of pathogenic Histoplasma yeasts. Our findings demonstrated that Histoplasma metabolizes carbon toward cellular respiration to robustly produce CO2 and energy but also uses alternative pathways within central metabolism for biosynthesis. Given the potential for other pathogenic fungi to share similar metabolic features, especially biomass, our study offers a comprehensive framework for deciphering fungal metabolism, providing insights into their infection-enabling metabolism and offering a foundation for identifying new therapeutic targets.

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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
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