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首页> 外文期刊>Frontiers in Microbiology >Dramatic Increases of Soil Microbial Functional Gene Diversity at the Treeline Ecotone of Changbai Mountain
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Dramatic Increases of Soil Microbial Functional Gene Diversity at the Treeline Ecotone of Changbai Mountain

机译：长白山林线过渡带土壤微生物功能基因多样性的急剧增加

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摘要

The elevational and latitudinal diversity patterns of microbial taxa have attracted great attention in the past decade. Recently, the distribution of functional attributes has been in the spotlight. Here, we report a study profiling soil microbial communities along an elevation gradient (500–2200 m) on Changbai Mountain. Using a comprehensive functional gene microarray (GeoChip 5.0), we found that microbial functional gene richness exhibited a dramatic increase at the treeline ecotone, but the bacterial taxonomic and phylogenetic diversity based on 16S rRNA gene sequencing did not exhibit such a similar trend. However, the β-diversity (compositional dissimilarity among sites) pattern for both bacterial taxa and functional genes was similar, showing significant elevational distance-decay patterns which presented increased dissimilarity with elevation. The bacterial taxonomic diversity/structure was strongly influenced by soil pH, while the functional gene diversity/structure was significantly correlated with soil dissolved organic carbon (DOC). This finding highlights that soil DOC may be a good predictor in determining the elevational distribution of microbial functional genes. The finding of significant shifts in functional gene diversity at the treeline ecotone could also provide valuable information for predicting the responses of microbial functions to climate change.
机译：在过去的十年中，微生物分类群的海拔和纬度多样性模式引起了极大的关注。近来，功能属性的分布已经引起人们的关注。在这里，我们报告了一项研究，研究了长白山沿海拔（500-2200 m）的土壤微生物群落。使用全面的功能基因微阵列（GeoChip 5.0），我们发现微生物功能基因的丰富度在树线过渡带处显着增加，但是基于16S rRNA基因测序的细菌分类学和系统发育多样性却没有显示出类似的趋势。然而，细菌类群和功能基因的β-多样性（位点间组成差异）模式相似，显示出显着的海拔距离-衰减模式，随着海拔的升高而增加。细菌分类学多样性/结构受到土壤pH的强烈影响，而功能基因多样性/结构与土壤溶解有机碳（DOC）显着相关。这一发现表明，土壤DOC可能是确定微生物功能基因高度分布的良好预测指标。在森林过渡带上发现功能基因多样性的重大变化，也可为预测微生物功能对气候变化的响应提供有价值的信息。

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