Metabolite-driven mechanisms reveal chemical ecology of Lehmann Lovegrass (Eragrostis lehmanniana) invasion in North American semi-arid ecosystems

Communications Biology, Journal Year: 2025, Volume and Issue: 8(1)

Published: March 4, 2025

Invasive plants threaten global ecosystems, yet traditional analyses of functional traits cannot fully explain their dominance over co-occurring natives. Metabolomics offers insights into plant invasions, but single-technique studies often miss critical biochemical mechanisms. We employ a multimodal metabolomics approach (¹H NMR, LC MS/MS, FT-ICR-MS, and MALDI-MSI) to investigate the basis Lehmann lovegrass (Eragrostis lehmanniana) invasion in semi-arid North America, comparing it with native grass, Arizona cottontop (Digitaria californica). Our analysis reveals three metabolomic compared cottontop: Enhanced nitrogen allocation shoots, reduced defensive metabolites root layers; increased exudate modulation under stress conditions. These suggest succeeds through adaptation increasing aridity rather than direct competition, demonstrating nutrient-poor environments high phenotypic plasticity response aridity. This integrated provides new mechanistic ecology environmental change.

Language: Английский

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Evaluation of the current methods for assigning molecular formulas to dissolved organic matter using high resolution mass spectrometry

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 8, 2025

Understanding DOM composition is essential for investigating the biogeochemical carbon cycle and related elements. However, methods assigning molecular formulas (MF) in high-resolution mass spectrometry remain poorly defined, which often resulting misidentification of components. In this study, we established a metrics evaluation framework assessing assignment results each method based on similarity, accuracy correctness. We selected six then evaluated them using different settings elemental limits, filter rules selection rules. Our findings reveal that Formularity TRFU are most suitable MF DOM. These two show high similarity ratios (93–99%) low Bray-Curtis distances (0.13–0.14), indicating more substantial capability. Their correctness rates (86–87%) chemical diversity errors (0.14–0.39) indicate accurate results. Other methods, TEnvR, ICBM MFAssignR, with separate filters, unassigned error up to 47% ± 18%, potentially omitting certain At moderate dissolved organic concentrations, performs better, while outperforms at both concentrations. This study provides recommendations selecting analytical DOM, facilitating deeper understanding its properties role aquatic ecosystems.

Language: Английский

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Seasonal and longitudinal dynamics of DOM within headwater streams of a tropical evergreen forest

Water Research, Journal Year: 2025, Volume and Issue: 281, P. 123668 - 123668

Published: April 28, 2025

Language: Английский

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Capturing differences in the release potential of dissolved organic matter from biochar and hydrochar: Insights from component characterization and molecular identification

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 955, P. 177209 - 177209

Published: Nov. 2, 2024

Language: Английский

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Atmospheric Pressure Laser Ionization Mass Spectrometry with Tunable UV Wavelength Utilizing an Optical Parametric Oscillator

Analytical Chemistry, Journal Year: 2024, Volume and Issue: 97(1), P. 676 - 685

Published: Dec. 23, 2024

To our knowledge, this study presents the first implementation of wavelength-resolved resonance-enhanced multiphoton ionization (REMPI) spectroscopy under atmospheric pressure conditions using a high-resolution mass spectrometric system. Atmospheric laser MS spectroscopic measurements were conducted on over 70 different polycyclic aromatic hydrocarbons (PAHs) and hetero-PAHs (N, S, O) in standard solutions, as well three complex PAH-containing samples. The results demonstrate successful transfer REMPI from vacuum to conditions, maintaining spectral integrity without significant band broadening. obtained data add an orthogonal dimension spectrometry, providing structural insights into core motifs enabling isomeric differentiation. This differentiation is further enhanced by linear regression algorithms, which allow for semiquantitative analysis isomer mixtures. Comparison between spectra sample reveals high correlation values certain peaks, strongly indicating presence specific PAHs distinguishing phenanthrene anthracene fossil- biobased

Language: Английский

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