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March 3, 2026Environmental Technology & Innovation0 citationsOpen Access

Explainable machine learning links organic-matter stress to microbial controls of sedimentary ammonium accumulation in marsh-type shallow lakes

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ZZZiyang ZhuCZChao ZhangSWShengfang Wen

Key Points

  • Ammonium accumulation increased under high organic matter conditions, highlighting environmental risks.
  • UreC expression increased by 40.63%, while both archaeal and bacterial amoA decreased by nearly 95%.
  • Analysis utilized high-throughput sequencing and interpretable machine learning techniques for insights.
  • The study identifies specific thresholds of organic matter that significantly affect microbial functions related to nitrogen.

Abstract

Shallow lakes with high primary productivity and macrophyte dominance often accumulate organic matter (OM) in sediments, which can promote ammonium (NH₄⁺-N) accumulation and increase the risk of free-ammonia toxicity. However, under high-OM conditions, the microbial functional changes associated with NH₄⁺-N accumulation, as well as their key environmental drivers and threshold windows, remain poorly understood. Here, we investigated Baiyangdian Lake, a representative macrophyte-dominated shallow lake, by integrating high-throughput sequencing, qPCR quantification, and interpretable machine learning (XGBoost–SHAP). The results showed a clear functional divergence under high OM relative to low OM, characterized by enhanced mineralization but suppressed nitrification: ureC increased by 40.63 %, whereas archaeal amoA and bacterial amoA decreased by 94.88 % and 94.30 %, respectively. SHAP further indicated that OM is a core driver of variations in these three functional genes and exhibits threshold-like nonlinear effects: both amoA genes shifted to suppression when OM exceeded 19.62 %/22.27 %, while ureC shifted to promotion when OM exceeded 12.71 % and approached saturation at OM ≈ 17 %. Together, this study reveals distinct threshold regimes in sediment nitrogen functioning associated with NH₄⁺-N buildup, offering quantitative cues to delineate sensitive intervals of internal nitrogen risk and inform targeted management. • OM is a key factor influencing ammonium accumulation. • High OM conditions promoted the expression of the mineralization-related gene ureC . • High OM inhibited nitrification gene expression: archaeal amoA and bacterial amoA. • OM exhibited nonlinear threshold effects on functional genes: ureC and amoA .

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Cite This Study

Zhu et al. (2026) studied this question.

synapsesocial.com/papers/69a75b15c6e9836116a21c00https://doi.org/10.1016/j.eti.2026.104787
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