Spatio-Temporal Variation of Core and Satellite Arbuscular Mycorrhizal Fungus Communities in Miscanthus giganteus.

Spatio-Temporal Variation of Core and Satellite Arbuscular Mycorrhizal Fungus Communities in Miscanthus giganteus.
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DOI:
10.3389/fmicb.2016.01278
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发表时间:
2016
影响因子:
5.2
通讯作者:
Bending GD
Bending GD
中科院分区:
生物学2区
文献类型:
--
作者:
Barnes CJ;Burns CA;van der Gast CJ;McNamara NP;Bending GD

文献摘要

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丛枝菌根真菌(AMF)是一类能促进植物营养的专性共生体。AMF群落多种多样,但在空间和时间上控制它们聚集的因素仍不清楚。本研究通过13个月的研究,确定了地理距离、环境异质性和时间对巨芒(一种原产于东南亚的多年生草本植物)AMF群落形成的贡献。特别是,群落被划分为核心(丰度和持久的类群)和附属(丰度和持久性较低的类群)组成,并确定了每个群落聚集的驱动因素。在140m长的样带上,β多样性特别低,没有多少证据表明地理尺度对核心群落、卫星群落或组合群落的组成有影响。然而,AMF丰富度和群落组成随着时间的推移而变化,这与核心和卫星群落内的波动有关。土壤性质对AMF群落变异的解释程度在核心群落中始终高于联合群落和卫星群落,表明卫星群落具有相当大的随机性。我们建议将群落划分为其核心和附属成分,以加强微生物群落分析中所解释的变异。
Arbuscular mycorrhizal fungi (AMF) are a group of obligate plant symbionts which can promote plant nutrition. AMF communities are diverse, but the factors which control their assembly in space and time remain unclear. In this study, the contributions of geographical distance, environmental heterogeneity and time in shaping AMF communities associated with Miscanthus giganteus (a perennial grass originating from south-east Asia) were determined over a 13 months period. In particular, the community was partitioned into core (abundant and persistent taxa) and satellite (taxa with low abundance and persistence) constituents and the drivers of community assembly for each determined. β-diversity was exceptionally low across the 140 m line transects, and there was limited evidence of geographical scaling effects on the composition of the core, satellite or combined communities. However, AMF richness and community composition changed over time associated with fluctuation within both the core and satellite communities. The degree to which AMF community variation was explained by soil properties was consistently higher in the core community than the combined and satellite communities, suggesting that the satellite community had considerable stochasticity associated with it. We suggest that the partitioning of communities into their core and satellite constituents could be employed to enhance the variation explained within microbial community analyses.