Disentangling drivers of mudflat intertidal DOM chemodiversity using ecological models

Kai Ma, Yueyue Li, Wen Song, Jiayin Zhou, Xia Liu, Mengqi Wang, Xiaofan Gong, Linlin Wang and Qichao Tu ()
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Kai Ma: Shandong University
Yueyue Li: Shandong University
Wen Song: Shandong University
Jiayin Zhou: Shandong University
Xia Liu: Shandong University
Mengqi Wang: Shandong University
Xiaofan Gong: Shandong University
Linlin Wang: Shandong University
Qichao Tu: Shandong University

Nature Communications, 2024, vol. 15, issue 1, 1-13

Abstract: Abstract Microorganisms consume and transform dissolved organic matter (DOM) into various forms. However, it remains unclear whether the ecological patterns and drivers of DOM chemodiversity are analogous to those of microbial communities. Here, a large-scale investigation is conducted along the Chinese coasts to resolve the intrinsic linkages among the complex intertidal DOM pools, microbial communities and environmental heterogeneity. The abundance of DOM molecular formulae best fits log-normal distribution and follows Taylor’s Law. Distance-decay relationships are observed for labile molecular formulae, while latitudinal diversity gradients are noted for recalcitrant molecular formulae. Latitudinal patterns are also observed for DOM molecular features. Negative cohesion, bacterial diversity, and molecular traits are the main drivers of DOM chemodiversity. Stochasticity analyses demonstrate that determinism dominantly shapes the DOM compositional variations. This study unveils the intrinsic mechanisms underlying the intertidal DOM chemodiversity and microbial communities from ecological perspectives, deepening our understanding of microbially driven chemical ecology.

Date: 2024
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DOI: 10.1038/s41467-024-50841-9

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