Quantifying the functional genes of C, N, P, and S cycling in a deep lake: Depth patterns and drivers DOI Creative Commons
Peixuan Zhang, Minglei Ren, Weizhen Zhang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112532 - 112532

Published: Aug. 27, 2024

Microbial functional composition is important for biogeochemical cycles, and usually constrained by taxonomic species pool natural environmental gradients. However, the distribution of genes in deep lakes driving factors remains elusive. Here, we quantified abundance 71 relevant to carbon degradation, fixation, methane metabolism, nitrogen cycling, phosphorus sulfur cycling 38 sediments along water depth ranging from 0 90 m Lugu Lake, China, using Quantitative Ecology Chip (QMEC) then explored their water-depth diversity pattern abiotic biotic drivers. Functional gene showed a hump-shaped peaked at around 50 which low boundary thermocline layer. There were specific preferences among subgroups such as preferring deeper shallow waters, respectively. The dissimilarity total increased with distance indicating distance-decay relationship. was congruence between showing positive correlations compositions bacteria or archaea. This phenomenon consistently observed six subgroups, strength highest while lowest cycling. Compared factors, more composition. Biotic explained 28.5 % variance diversity, other sediment 4.2 3.8 %, For composition, accounted 25.2 variance, whereas contributed 0.7 4.4 Among all explanatory variables function genes, bacterial had contribution, further supported its direct effects 1.45 0.86 on study first time microbial provided comprehensive understanding dynamics communities within aquatic ecosystems.

Language: Английский

The N/C ratios of dissolved organic matter and their response to lake warming and nutrient enrichment DOI Open Access
Ming Chen,

Hu Ang,

Lei Han

et al.

Journal of Lake Sciences, Journal Year: 2025, Volume and Issue: 37(1), P. 97 - 111

Published: Jan. 1, 2025

Language: Английский

Citations

0
iDOM: Statistical analysis of dissolved organic matter characterized by high‐resolution mass spectrometry DOI Creative Commons
Fanfan Meng, Ang Hu, Kyoung‐Soon Jang

et al.

mLife, Journal Year: 2025, Volume and Issue: unknown

Published: April 14, 2025

Abstract Dissolved organic matter (DOM) contains thousands of molecules and is key for biogeochemical cycles in aquatic terrestrial ecosystems by interacting with microbes. Over the last decade, study DOM has been advanced accelerated developments instrumental statistical approaches. However, it still challenging analyses, data visualization, theoretical interpretations largely due to complexity molecular composition underlying ecological mechanisms. In this study, we developed an R package iDOM functions basic analyses visualization derived from Fourier transform ion cyclotron resonance mass spectrometer (FT‐ICR MS). The could handle various types DOM, including compositional data, traits, uncharacterized (i.e., dark matter). It integrate explanatory such as environmental microbial explore relationships between abiotic or biotic drivers. To illustrate its use, presented case studies example dataset communities under experimental warming. We included calculation assignment classes, chemical diversity dissimilarity. further showed quantify assembly processes, assess effects on interactions, analyze networks microbes, their response source code are publicly available https://github.com/jianjunwang/iDOM . expect that will serve a comprehensive pipeline bridge gap characterization interpretation framework.

Language: Английский

Citations

0
Planting Enhances Soil Resistance to Microplastics: Evidence from Carbon Emissions and Dissolved Organic Matter Stability DOI
Qi Wang, Weitao Liu, Qixing Zhou

et al.

Environmental Science & Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 19, 2024

Microplastics (MPs) have become a global hotspot due to their widespread distribution in recent years. MPs frequently interact with dissolved organic matter (DOM) and microbes, thereby influencing the carbon fate of soils. However, role plant presence regulating MPs-mediated changes DOM microbial structure remains unclear. Here, we compared mechanisms soil response 3 common nonbiodegradable absence or radish (Raphanus sativus L. var. radculus Pers) plants. Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) analysis revealed that reduced chemodiversity biodiversity (DOM). enhanced degradation lignin-like compounds stability. Comparative showed caused less disturbance composition metabolism planted than unplanted soil. In soil, stimulated fermentation while upregulating photoautotrophic activity enhancing system The rhizosphere effect mitigated MPs-induced CO2 emissions. Overall, our study highlights crucial effects maintaining ecosystem stability under microbe-DOM-pollutant interactions, which provides theoretical basis for predicting resistance, resilience, transitions upon exposure anthropogenic source.

Language: Английский

Citations

1
Quantifying the functional genes of C, N, P, and S cycling in a deep lake: Depth patterns and drivers DOI Creative Commons
Peixuan Zhang, Minglei Ren, Weizhen Zhang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112532 - 112532

Published: Aug. 27, 2024

Microbial functional composition is important for biogeochemical cycles, and usually constrained by taxonomic species pool natural environmental gradients. However, the distribution of genes in deep lakes driving factors remains elusive. Here, we quantified abundance 71 relevant to carbon degradation, fixation, methane metabolism, nitrogen cycling, phosphorus sulfur cycling 38 sediments along water depth ranging from 0 90 m Lugu Lake, China, using Quantitative Ecology Chip (QMEC) then explored their water-depth diversity pattern abiotic biotic drivers. Functional gene showed a hump-shaped peaked at around 50 which low boundary thermocline layer. There were specific preferences among subgroups such as preferring deeper shallow waters, respectively. The dissimilarity total increased with distance indicating distance-decay relationship. was congruence between showing positive correlations compositions bacteria or archaea. This phenomenon consistently observed six subgroups, strength highest while lowest cycling. Compared factors, more composition. Biotic explained 28.5 % variance diversity, other sediment 4.2 3.8 %, For composition, accounted 25.2 variance, whereas contributed 0.7 4.4 Among all explanatory variables function genes, bacterial had contribution, further supported its direct effects 1.45 0.86 on study first time microbial provided comprehensive understanding dynamics communities within aquatic ecosystems.

Language: Английский

Citations

0