海水微生物的基因含量是大堡礁海水化学的一个强有力的预测指标。

IF 13.8 1区 生物学 Q1 MICROBIOLOGY
Marko Terzin, Steven J Robbins, Sara C Bell, Kim-Anh Lê Cao, Renee K Gruber, Pedro R Frade, Nicole S Webster, Yun Kit Yeoh, David G Bourne, Patrick W Laffy
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引用次数: 0

摘要

背景:海水微生物(细菌和古细菌)通过促进珊瑚礁的营养循环、能量转移和整体生态系统功能发挥重要作用。然而,环境干扰,如水质退化和海洋热浪,会影响这些重要功能,因为海水微生物群落在暴露于压力源时,其组成和功能会发生显著变化。这种敏感性突出了海水微生物作为珊瑚礁健康指标的潜力。微生物指标分析以测量海水微生物群落的分类组成为中心,但这可能掩盖了分类上相似的微生物之间基因含量的异质性,因此,微生物功能基因被假设为具有更大的预测潜力,尽管这一假设的实证验证仍有待验证。利用宏基因组学研究框架,建立了大堡礁(GBR)近海海域海水微生物组的功能基线,比较了分类信息和功能信息在推断周围珊瑚礁连续物理化学指标方面的诊断价值。结果:对48个珊瑚礁的17个理化变量(温度、盐度、颗粒和溶解营养物质)进行以基因为中心的宏基因组学分析显示,微生物功能与环境参数之间的关联比分类与环境之间的关联稳定两倍。观察到地表水化学的明显季节性变化,在南方夏季,营养物质浓度高达三倍,这是由光自养的picocyanobacteria(主要是聚藻球菌)产生的颗粒有机物(POM)增加所解释的。相比之下,冬季营养水平较低,POM的产生也归因于原绿球藻。此外,异养微生物(如Rhodospirillaceae、burkholderaceae、Flavobacteriaceae和Rhodobacteraceae)在溶解有机碳(DOC)和浮游植物衍生POM升高的珊瑚礁中富集,编码与膜运输、糖利用和能量代谢相关的功能基因。这些微生物可能通过捕获和回收来自聚藻球菌和原绿球藻的营养物质来促进珊瑚礁微生物循环,最终将营养物质从picocyanobacterian初级生产者转移到更高的营养水平。结论:本研究揭示了与珊瑚礁相关的海水微生物的功能信息与物理化学变量的关联比分类数据更强,突出了将微生物功能纳入珊瑚礁监测计划的重要性。我们开发稳定的海水微生物生物标志物的综合方法可以扩展到包括珊瑚礁健康的其他连续指标(例如,珊瑚和大型藻类的底底生物覆盖,鱼类计数/生物量),并且可能适用于GBR以外的其他大型珊瑚礁宏基因组数据集。视频摘要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gene content of seawater microbes is a strong predictor of water chemistry across the Great Barrier Reef.

Background: Seawater microbes (bacteria and archaea) play essential roles in coral reefs by facilitating nutrient cycling, energy transfer, and overall reef ecosystem functioning. However, environmental disturbances such as degraded water quality and marine heatwaves, can impact these vital functions as seawater microbial communities experience notable shifts in composition and function when exposed to stressors. This sensitivity highlights the potential of seawater microbes to be used as indicators of reef health. Microbial indicator analysis has centered around measuring the taxonomic composition of seawater microbial communities, but this can obscure heterogeneity of gene content between taxonomically similar microbes, and thus, microbial functional genes have been hypothesized to have more scope for predictive potential, though empirical validation for this hypothesis is still pending. Using a metagenomics study framework, we establish a functional baseline of seawater microbiomes across offshore Great Barrier Reef (GBR) sites to compare the diagnostic value between taxonomic and functional information in inferring continuous physico-chemical metrics in the surrounding reef.

Results: Integrating gene-centric metagenomics analyses with 17 physico-chemical variables (temperature, salinity, and particulate and dissolved nutrients) across 48 reefs revealed that associations between microbial functions and environmental parameters were twice as stable compared to taxonomy-environment associations. Distinct seasonal variations in surface water chemistry were observed, with nutrient concentrations up to threefold higher during austral summer, explained by enhanced production of particulate organic matter (POM) by photoautotrophic picocyanobacteria, primarily Synechococcus. In contrast, nutrient levels were lower in winter, and POM production was also attributed to Prochlorococcus. Additionally, heterotrophic microbes (e.g., Rhodospirillaceae, Burkholderiaceae, Flavobacteriaceae, and Rhodobacteraceae) were enriched in reefs with elevated dissolved organic carbon (DOC) and phytoplankton-derived POM, encoding functional genes related to membrane transport, sugar utilization, and energy metabolism. These microbes likely contribute to the coral reef microbial loop by capturing and recycling nutrients derived from Synechococcus and Prochlorococcus, ultimately transferring nutrients from picocyanobacterial primary producers to higher trophic levels.

Conclusion: This study reveals that functional information in reef-associated seawater microbes more robustly associates with physico-chemical variables than taxonomic data, highlighting the importance of incorporating microbial function in reef monitoring initiatives. Our integrative approach to mine for stable seawater microbial biomarkers can be expanded to include additional continuous metrics of reef health (e.g., benthic cover of corals and macroalgae, fish counts/biomass) and may be applicable to other large-scale reef metagenomics datasets beyond the GBR. Video Abstract.

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来源期刊
Microbiome
Microbiome MICROBIOLOGY-
CiteScore
21.90
自引率
2.60%
发文量
198
审稿时长
4 weeks
期刊介绍: Microbiome is a journal that focuses on studies of microbiomes in humans, animals, plants, and the environment. It covers both natural and manipulated microbiomes, such as those in agriculture. The journal is interested in research that uses meta-omics approaches or novel bioinformatics tools and emphasizes the community/host interaction and structure-function relationship within the microbiome. Studies that go beyond descriptive omics surveys and include experimental or theoretical approaches will be considered for publication. The journal also encourages research that establishes cause and effect relationships and supports proposed microbiome functions. However, studies of individual microbial isolates/species without exploring their impact on the host or the complex microbiome structures and functions will not be considered for publication. Microbiome is indexed in BIOSIS, Current Contents, DOAJ, Embase, MEDLINE, PubMed, PubMed Central, and Science Citations Index Expanded.
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