Bai Ren, Wang Jun-Tao, Deng Ye, He Ji-Zheng, Feng Kai, Zhang Li-Mei
State Key Laboratory of Urban and Regional Ecology, Research Centre for Eco-environmental Sciences, Chinese Academy of SciencesBeijing, China.
Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of SciencesBeijing, China.
Front Microbiol. 2017 May 29;8:945. doi: 10.3389/fmicb.2017.00945. eCollection 2017.
Paddy rice fields occupy broad agricultural area in China and cover diverse soil types. Microbial community in paddy soils is of great interest since many microorganisms are involved in soil functional processes. In the present study, Illumina Mi-Seq sequencing and functional gene array (GeoChip 4.2) techniques were combined to investigate soil microbial communities and functional gene patterns across the three soil types including an Inceptisol (Binhai), an Oxisol (Leizhou), and an Ultisol (Taoyuan) along four profile depths (up to 70 cm in depth) in mesocosm incubation columns. Detrended correspondence analysis revealed that distinctly differentiation in microbial community existed among soil types and profile depths, while the manifest variance in functional structure was only observed among soil types and two rice growth stages, but not across profile depths. Along the profile depth within each soil type, , , and increased whereas , β, and declined, suggesting their specific ecophysiological properties. Compared to bacterial community, the archaeal community showed a more contrasting pattern with the predominant groups within phyla , , and largely varying among soil types and depths. Phylogenetic molecular ecological network (pMEN) analysis further indicated that the pattern of bacterial and archaeal communities interactions changed with soil depth and the highest modularity of microbial community occurred in top soils, implying a relatively higher system resistance to environmental change compared to communities in deeper soil layers. Meanwhile, microbial communities had higher connectivity in deeper soils in comparison with upper soils, suggesting less microbial interaction in surface soils. Structure equation models were developed and the models indicated that pH was the most representative characteristics of soil type and identified as the key driver in shaping both bacterial and archaeal community structure, but did not directly affect microbial functional structure. The distinctive pattern of microbial taxonomic and functional composition along soil profiles implied functional redundancy within these paddy soils.
稻田在中国占据了广阔的农业区域,覆盖了多种土壤类型。由于许多微生物参与土壤功能过程,稻田土壤中的微生物群落备受关注。在本研究中,结合了Illumina Mi-Seq测序和功能基因阵列(GeoChip 4.2)技术,以研究中尺度培养柱中沿四个剖面深度(深度达70厘米)的三种土壤类型(包括雏形土(滨海)、氧化土(雷州)和老成土(桃源))的土壤微生物群落和功能基因模式。除趋势对应分析表明,土壤类型和剖面深度之间存在明显的微生物群落分化,而功能结构的明显差异仅在土壤类型和两个水稻生长阶段之间观察到,而非剖面深度之间。在每种土壤类型的剖面深度上, 、 、 和 增加,而 、β和 下降,表明它们具有特定的生态生理特性。与细菌群落相比,古菌群落表现出更明显的差异模式,门 、 和 中的优势类群在很大程度上因土壤类型和深度而异。系统发育分子生态网络(pMEN)分析进一步表明,细菌和古菌群落的相互作用模式随土壤深度而变化,微生物群落的最高模块性出现在表层土壤中,这意味着与深层土壤中的群落相比,对环境变化具有相对较高的系统抗性。同时,与上层土壤相比,深层土壤中的微生物群落具有更高的连通性,表明表层土壤中的微生物相互作用较少。构建了结构方程模型,模型表明pH是土壤类型最具代表性的特征,被确定为塑造细菌和古菌群落结构的关键驱动因素,但不直接影响微生物功能结构。沿土壤剖面微生物分类和功能组成的独特模式暗示了这些稻田土壤中的功能冗余。