Suppr超能文献

斑驳的烧伤严重程度解释了混交针叶林中土壤病毒和原核生物对火灾的异质反应。

Patchy burn severity explains heterogeneous soil viral and prokaryotic responses to fire in a mixed conifer forest.

作者信息

Geonczy Sara E, Hillary Luke S, Santos-Medellín Christian, Sorensen Jess W, Emerson Joanne B

机构信息

Department of Plant Pathology, University of California, Davis, Davis, California, USA.

出版信息

mSystems. 2025 May 14:e0174924. doi: 10.1128/msystems.01749-24.

Abstract

UNLABELLED

Effects of fire on soil viruses and virus-host dynamics are largely unexplored, despite known microbial contributions to biogeochemical processes and ecosystem recovery. Here, we assessed how viral and prokaryotic communities responded to a prescribed burn in a mixed conifer forest. We sequenced 91 viral-size fraction metagenomes (viromes) and 115 16S rRNA gene amplicon libraries from 120 samples: four samples at five timepoints (two before fire and three after fire) at six sites (four treatment, two control). We hypothesized that compositional differences would be most significant between burned and unburned soils, but instead, plot location best distinguished viral communities, more than treatment (burned or not), depth (0-3 or 3-6 cm), or timepoint. For both viruses and prokaryotes, some burned communities resembled unburned controls, while others were significantly different, revealing heterogeneous responses to fire. These patterns were explained by burn severity, here defined by soil chemistry. Viral but not prokaryotic richness decreased significantly with burn severity, and low viromic DNA yields indicated substantial loss of viral biomass at higher severity. The relative abundances of Firmicutes, Actinobacteriota, and the viruses predicted to infect them increased significantly with burn severity, suggesting survival and viral infection of these fire-responsive and potentially spore-forming taxa. The degree of burn severity experienced by each patch of soil, rather than burn status alone, differed over mere meters in the same fire. Therefore, our analyses highlight the importance of high-resolution, paired biogeochemical data to explain soil community responses to fire.

IMPORTANCE

The impact of fire on the soil microbiome, particularly on understudied soil viral communities, warrants investigation, given known microbial contributions to biogeochemical processes and ecosystem recovery. Here, we collected 120 soil samples before and after a prescribed burn in a mixed conifer forest to assess the impacts of this disturbance on soil viral and prokaryotic communities. We show that simple categorical comparisons of burned and unburned areas were insufficient to reveal the underlying community response patterns. The patchy nature of the fire (indicated by soil chemistry data) led to significant changes in viral and prokaryotic community composition in areas of high burn severity, while communities that experienced lower burn severity were indistinguishable from those in unburned controls. Our results highlight the importance of considering highly resolved burn severity and biogeochemical measurements, even in nearby soils after the same fire, in order to understand soil microbial responses to prescribed burns.

摘要

未标记

尽管已知微生物对生物地球化学过程和生态系统恢复有贡献,但火灾对土壤病毒及病毒-宿主动态的影响在很大程度上仍未得到探索。在此,我们评估了病毒和原核生物群落如何对针叶混交林中的计划性火烧作出反应。我们对来自120个样本的91个病毒大小片段宏基因组(病毒组)和115个16S rRNA基因扩增子文库进行了测序:在六个地点(四个处理组、两个对照组)的五个时间点(火烧前两个时间点、火烧后三个时间点)各取四个样本。我们假设火烧土壤和未火烧土壤之间的组成差异最为显著,但相反,样地位置比处理(是否火烧)、深度(0 - 3厘米或3 - 6厘米)或时间点更能有效区分病毒群落。对于病毒和原核生物而言,一些火烧后的群落与未火烧的对照群落相似,而另一些则有显著差异,这揭示了对火灾的异质性反应。这些模式可以用火的严重程度来解释,这里用火的严重程度由土壤化学性质来定义。病毒丰富度而非原核生物丰富度随火烧严重程度显著降低,低病毒组DNA产量表明在较高严重程度下病毒生物量大量损失。厚壁菌门、放线菌门以及预计感染它们的病毒的相对丰度随火烧严重程度显著增加,这表明这些对火有反应且可能形成孢子的分类群能够存活并受到病毒感染。在同一场火灾中,仅仅相隔几米的每块土壤所经历的火烧严重程度各不相同,而不仅仅取决于是否被火烧。因此,我们的分析强调了高分辨率的配对生物地球化学数据对于解释土壤群落对火灾反应的重要性。

重要性

鉴于已知微生物对生物地球化学过程和生态系统恢复有贡献,火灾对土壤微生物群落,特别是对研究较少的土壤病毒群落的影响值得研究。在此,我们在针叶混交林计划性火烧前后收集了120份土壤样本,以评估这种干扰对土壤病毒和原核生物群落的影响。我们表明,简单地对火烧区和未火烧区进行分类比较不足以揭示潜在的群落反应模式。火灾的斑块性(由土壤化学数据表明)导致高火烧严重程度区域的病毒和原核生物群落组成发生显著变化,而火烧严重程度较低的群落与未火烧对照区的群落没有区别。我们的结果强调了考虑高分辨率的火烧严重程度和生物地球化学测量的重要性,即使是在同一场火灾后附近的土壤中,以便了解土壤微生物对计划性火烧的反应。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验