Multi-omics reveal microbial succession and metabolomic adaptations to flood in a hypersaline coastal lagoon

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Christopher Keneally , Daniel Chilton , Tyler N. Dornan , Stephen P. Kidd , Virginie Gaget , Adam Toomes , Charlotte Lassaline , Reuben Petrovski , Lisa Wood , Justin D. Brookes
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引用次数: 0

Abstract

Microorganisms drive essential biogeochemical processes in aquatic ecosystems and are sensitive to both salinity and hydrological changes. As climate change and anthropogenic activities alter hydrology and salinity worldwide, understanding microbial ecology and metabolism becomes increasingly important for managing aquatic ecosystems. Biogeochemical processes were investigated on sediment microbial communities during a significant flood event in the hypersaline Coorong lagoon, South Australia (the largest in the Murray-Darling Basin since 1956). Samples from six sites across a salinity gradient were collected before and during flooding in 2022. To assess changes in microbial taxonomy and metabolic function, 16S rRNA amplicon sequencing was employed alongside untargeted liquid chromatography–mass spectrometry (LC-MS) to assess changes in microbial taxonomy and metabolic function. Results showed a decrease in microbial richness and diversity during flooding, especially in hypersaline conditions. Pre-flood communities were enriched with osmolyte-degrading and methanogenic taxa, alongside osmoprotectant metabolites, such as glycine betaine and choline. Flood conditions favored taxa such as Halanaerobiaceae and Beggiatoaceae, inducing inferred metagenomic shifts indicative of sulfur cycling and nitrogen reduction pathways, while also enriching a greater diversity of metabolites including Gly-Phe dipeptides and guanine. This study demonstrates that integrating metabolomics with microbial community analysis enhances understanding of ecosystem responses to disturbance. These findings suggest microbial communities rapidly change in response to salinity reductions while maintaining key biogeochemical functions. Such insights are valuable for ecosystem management and predictive modelling under environmental stressors such as flooding.

Abstract Image

Abstract Image

多组学揭示了高盐沿海泻湖中微生物演替和代谢组学对洪水的适应
微生物在水生生态系统中驱动重要的生物地球化学过程,对盐度和水文变化都很敏感。随着气候变化和人类活动改变了世界范围内的水文和盐度,了解微生物生态学和代谢对管理水生生态系统变得越来越重要。研究了南澳大利亚高盐库荣泻湖(1956年以来墨累—达令盆地最大的泻湖)一次重大洪水事件中沉积物微生物群落的生物地球化学过程。在2022年洪水之前和期间,研究人员从不同盐度梯度的六个地点收集了样本。为了评估微生物分类和代谢功能的变化,采用16S rRNA扩增子测序和非靶向液相色谱-质谱法(LC-MS)来评估微生物分类和代谢功能的变化。结果表明,在淹水期间,微生物丰富度和多样性下降,特别是在高盐条件下。洪水前群落富含渗透降解和产甲烷类群,以及渗透保护代谢物,如甘氨酸、甜菜碱和胆碱。洪水条件有利于Halanaerobiaceae和Beggiatoaceae等分类群,诱导了硫酸盐和氮还原途径的宏基因组转移,同时也丰富了包括Gly-Phe二肽和鸟嘌呤在内的更大多样性的代谢物。该研究表明,将代谢组学与微生物群落分析相结合,有助于了解生态系统对干扰的响应。这些发现表明,微生物群落在保持关键生物地球化学功能的同时,对盐度降低的响应迅速变化。这样的见解对生态系统管理和洪水等环境压力下的预测建模很有价值。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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