天空中的松露:随机和确定性驱动因素对马德兰天空岛群岛根瘤菌群落的影响

IF 1.9 3区 环境科学与生态学 Q3 ECOLOGY Fungal Ecology Pub Date : 2023-06-01 DOI:10.1016/j.funeco.2023.101245
Carolina Piña Páez , Adam R. Carson , Daniel L. Luoma , Joseph W. Spatafora
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引用次数: 0

摘要

由于全球变暖,全球温带森林正在迁移,但人们对气候和寄主地理分布的变化将如何影响这些森林的专性共生体知之甚少。对过去事件的分析可以深入了解这些共生体对以前气候变化的反应,并为当代和未来气候变化事件的预测提供信息。Madrean Sky Islands Archipelago(MSIA)由山地“岛屿”组成,其松橡树林与周围索诺兰沙漠植被的“海洋”形成鲜明对比。该群岛的形成是由于后更新世气候变暖,索诺兰沙漠扩张,森林迁移到支离破碎的高海拔地区。Rhizopogon(Boletales)由专性外生菌根(EcM)共生体组成,这些共生体形成松露孢子果,并仅与松科植物结合。因此,MSIA Rhizopogon系统代表了真菌共生体如何应对气候变化和宿主迁移的自然实验。在每个岛屿的两个地点(一个松树地点和一个Pseudotsuga地点),从九个岛屿上取样根,并使用从孢子果中确定的ITS rRNA基因和从每个地点收集的土壤样本中提取的基于生物测定的EcM根尖来表征多样性。我们描述了MSIA天岛内和天岛间的根霉生物多样性,并测试了共生体物种丰富度和群落结构是否由宿主关联、岛屿身份、地理距离或这些因素之间的一些相互作用决定。Rhizopogon属中有25个OTU,相似度为99%,分布在9个天空岛屿上,每个岛屿的OTU范围为5-15个。虽然与松属和Pseudotsuga的不同寄主关联是群落组成的重要驱动因素,但我们的结果支持更强的岛屿效应。此外,与松林遗址相关的根根群落的特征是跨越天空岛屿的随机系统发育结构,而不是由地理距离构成的。我们的研究结果支持了一种强烈的隔离效应,该效应涉及天空岛屿的历史栖息地破碎化,以应对过去的气候变化,并且宿主关联和随机过程,例如生态漂移,都在形成MSIA的Rhizopogon群落中发挥了作用。
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Truffles in the sky: The impact of stochastic and deterministic drivers on Rhizopogon communities of the Madrean sky island archipelago

Temperate forests across the globe are migrating as a result of global warming, but little is known about how changes in climate and host geographic distributions will affect the obligate symbionts of these forests. Analysis of past events can provide insight into how these symbionts have responded to previous climatic changes and inform predictions for contemporary and future climate change events. The Madrean Sky Islands Archipelago (MSIA) comprises mountain “islands” whose Pine-Oak forests appear in stark contrast to the surrounding “sea” of Sonoran Desert vegetation. The archipelago formed due to a post-Pleistocene warming climate that resulted in the expansion of the Sonoran Desert and migration of forests to fragmented, higher elevation areas. Rhizopogon (Boletales) consists of obligate ectomycorrhizal (EcM) symbionts that form truffle sporocarps and associate exclusively with Pinaceae. As such, the MSIA-Rhizopogon system represents a natural experiment of how fungal symbionts responded to climatic change and host migration. Rhizopogon was sampled from nine islands at two sites (one Pinus site and one Pseudotsuga site) per island, and diversity was characterized using the ITS rRNA gene determined from both sporocarps and bioassay-based EcM root tips derived from soil samples collected at each site. We described the biodiversity of Rhizopogon within and among sky islands of the MSIA, and tested whether symbiont species richness and community structure were determined by host association, island identity, geographic distance, or some interaction among these factors. Twenty-five OTUs at 99% similarity in the genus Rhizopogon were identified across nine sky islands with a range of 5–15 OTUs per island. While differential host association with Pinus and Pseudotsuga was a significant driver of community composition, our results supported an even stronger island effect. Furthermore, Rhizopogon communities associated with Pinus forest sites were characterized by random phylogenetic structures across sky islands and are not structured by geographic distance. Our results supported a strong isolation effect that involved historical habitat fragmentation of sky islands in response to past climate changes, and that both host association and stochastic processes, e.g., ecological drift, played a role in shaping Rhizopogon communities of the MSIA.

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来源期刊
Fungal Ecology
Fungal Ecology 环境科学-生态学
CiteScore
5.80
自引率
3.40%
发文量
51
审稿时长
3 months
期刊介绍: Fungal Ecology publishes investigations into all aspects of fungal ecology, including the following (not exclusive): population dynamics; adaptation; evolution; role in ecosystem functioning, nutrient cycling, decomposition, carbon allocation; ecophysiology; intra- and inter-specific mycelial interactions, fungus-plant (pathogens, mycorrhizas, lichens, endophytes), fungus-invertebrate and fungus-microbe interaction; genomics and (evolutionary) genetics; conservation and biodiversity; remote sensing; bioremediation and biodegradation; quantitative and computational aspects - modelling, indicators, complexity, informatics. The usual prerequisites for publication will be originality, clarity, and significance as relevant to a better understanding of the ecology of fungi.
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