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绘制反硝化细菌群落大小和活性的田间尺度空间模式图。

Mapping field-scale spatial patterns of size and activity of the denitrifier community.

作者信息

Philippot Laurent, Cuhel Jiri, Saby Nicolas P A, Chèneby Dominique, Chronáková Alicia, Bru David, Arrouays Dominique, Martin-Laurent Fabrice, Simek Miloslav

机构信息

INRA, UMR 1229, F-21000 Dijon, France.

出版信息

Environ Microbiol. 2009 Jun;11(6):1518-26. doi: 10.1111/j.1462-2920.2009.01879.x. Epub 2009 Mar 2.

Abstract

There is ample evidence that microbial processes can exhibit large variations in activity on a field scale. However, very little is known about the spatial distribution of the microbial communities mediating these processes. Here we used geostatistical modelling to explore spatial patterns of size and activity of the denitrifying community, a functional guild involved in N-cycling, in a grassland field subjected to different cattle grazing regimes. We observed a non-random distribution pattern of the size of the denitrifier community estimated by quantification of the denitrification genes copy numbers with a macro-scale spatial dependence (6-16 m) and mapped the distribution of this functional guild in the field. The spatial patterns of soil properties, which were strongly affected by presence of cattle, imposed significant control on potential denitrification activity, potential N(2)O production and relative abundance of some denitrification genes but not on the size of the denitrifier community. Absolute abundance of most denitrification genes was not correlated with the distribution patterns of potential denitrification activity or potential N(2)O production. However, the relative abundance of bacteria possessing the nosZ gene encoding the N(2)O reductase in the total bacterial community was a strong predictor of the N(2)O/(N(2) + N(2)O) ratio, which provides evidence for a relationship between bacterial community composition based on the relative abundance of denitrifiers in the total bacterial community and ecosystem processes. More generally, the presented geostatistical approach allows integrated mapping of microbial communities, and hence can facilitate our understanding of relationships between the ecology of microbial communities and microbial processes along environmental gradients.

摘要

有充分证据表明,微生物过程在田间尺度上的活性会表现出很大差异。然而,对于介导这些过程的微生物群落的空间分布却知之甚少。在此,我们利用地统计模型来探究反硝化群落的大小和活性的空间模式,反硝化群落是参与氮循环的一个功能类群,存在于受不同放牧制度影响的草原田地中。我们通过对反硝化基因拷贝数进行定量估计反硝化菌群落大小,观察到其具有非随机分布模式,且具有宏观尺度的空间依赖性(6 - 16米),并绘制了该功能类群在田间的分布图。土壤性质的空间模式受到牲畜存在的强烈影响,对潜在反硝化活性、潜在N₂O产生以及一些反硝化基因的相对丰度有显著控制作用,但对反硝化菌群落的大小没有影响。大多数反硝化基因的绝对丰度与潜在反硝化活性或潜在N₂O产生的分布模式无关。然而,在总细菌群落中拥有编码N₂O还原酶的nosZ基因的细菌的相对丰度是N₂O/(N₂ + N₂O) 比率的一个强有力的预测指标,这为基于总细菌群落中反硝化菌相对丰度的细菌群落组成与生态系统过程之间的关系提供了证据。更普遍地说,所提出的地统计方法能够对微生物群落进行综合制图,因此有助于我们理解沿环境梯度的微生物群落生态学与微生物过程之间的关系。

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