Single-colony MALDI mass spectrometry imaging reveals spatial differences in metabolite abundance between natural and cultured Trichodesmium morphotypes.

IF 5 2区 生物学 Q1 MICROBIOLOGY mSystems Pub Date : 2024-10-22 Epub Date: 2024-09-24 DOI:10.1128/msystems.01152-24
Karl J Romanowicz, Futing Zhang, Siyuan Wang, Dušan Veličković, Rosalie K Chu, Yeala Shaked, Rene M Boiteau
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Abstract

Trichodesmium, a globally significant N2-fixing marine cyanobacterium, forms extensive surface blooms in nutrient-poor ocean regions. These blooms consist of a dynamic assemblage of Trichodesmium species that form distinct colony morphotypes and are inhabited by diverse microorganisms. Trichodesmium colony morphotypes vary in ecological niche, nutrient uptake, and organic molecule release, differentially impacting ocean carbon and nitrogen biogeochemical cycles. Here, we assessed the poorly studied spatial abundance of metabolites within and between three morphologically distinct Trichodesmium colonies collected from the Red Sea. We also compared these results with two morphotypes of the cultivable Trichodesmium strain IMS101. Using matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) coupled with liquid extraction surface analysis (LESA) tandem mass spectrometry (MS2), we identified and localized a wide range of small metabolites associated with single-colony Trichodesmium morphotypes. Our untargeted MALDI-MSI approach revealed 80 unique features (metabolites) shared between Trichodesmium morphotypes. Discrimination analysis showed spatial variations in 57 shared metabolites, accounting for 62% of the observed variation between morphotypes. The greatest variations in metabolite abundance were observed between the cultured morphotypes compared to the natural colony morphotypes, suggesting substantial differences in metabolite production between the cultivable strain IMS101 and the naturally occurring colony morphotypes that the cultivable strain is meant to represent. This study highlights the variations in metabolite abundance between natural and cultured Trichodesmium morphotypes and provides valuable insights into metabolites common to morphologically distinct Trichodesmium colonies, offering a foundation for future targeted metabolomic investigations.IMPORTANCEThis work demonstrates that the application of spatial mass spectrometry imaging at single-colony resolution can successfully resolve metabolite differences between natural and cultured Trichodesmium morphotypes, shedding light on their distinct biochemical profiles. Understanding the morphological differences between Trichodesmium colonies is crucial because they impact nutrient uptake, organic molecule production, and carbon and nitrogen export, and subsequently influence ocean biogeochemical cycles. As such, our study serves as an important initial assessment of metabolite differences between distinct Trichodesmium colony types, identifying features that can serve as ideal candidates for future targeted metabolomic studies.

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单菌落 MALDI 质谱成像揭示了天然和养殖毛地黄形态之间代谢物丰度的空间差异。
蓝藻(Trichodesmium)是一种具有全球意义的固氮海洋蓝藻,会在营养贫乏的海洋区域形成大面积的表层藻华。这些藻华由形成不同菌落形态的蓝藻物种动态组合而成,并有多种微生物栖息。毛藻菌落形态在生态位、营养吸收和有机分子释放方面各不相同,对海洋碳和氮的生物地球化学循环产生不同的影响。在这里,我们评估了从红海采集的三个形态各异的毛地黄藻菌落内部和菌落之间代谢物空间丰度的研究成果。我们还将这些结果与可栽培毛地黄菌株 IMS101 的两种形态进行了比较。利用基质辅助激光解吸/电离(MALDI)质谱成像(MSI)和液体萃取表面分析(LESA)串联质谱(MS2),我们鉴定并定位了与单菌落毛地黄形态相关的多种小型代谢物。我们的非靶向 MALDI-MSI 方法揭示了毛地黄形态之间共有的 80 种独特特征(代谢物)。鉴别分析表明,57种共有代谢物存在空间差异,占形态之间观察到的差异的62%。与自然菌落形态相比,培养形态之间的代谢物丰度差异最大,这表明可培养菌株 IMS101 与可培养菌株所代表的自然菌落形态之间在代谢物生产方面存在巨大差异。这项研究强调了天然毛地黄形态与栽培毛地黄形态之间代谢物丰度的差异,为了解形态不同的毛地黄菌落中常见的代谢物提供了有价值的见解,为未来有针对性的代谢组学研究奠定了基础。了解毛藻菌落之间的形态差异至关重要,因为它们会影响养分吸收、有机分子生成、碳和氮输出,进而影响海洋生物地球化学循环。因此,我们的研究是对不同毛地黄菌落类型之间代谢物差异的重要初步评估,确定了可作为未来目标代谢组学研究理想候选对象的特征。
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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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