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较高的 pH 值与增强的水稻根际微生物组共现网络复杂性、稳定性和养分循环功能有关。

Higher pH is associated with enhanced co-occurrence network complexity, stability and nutrient cycling functions in the rice rhizosphere microbiome.

机构信息

School of Geography and Ocean Science, Nanjing University, Nanjing, People's Republic of China.

出版信息

Environ Microbiol. 2022 Dec;24(12):6200-6219. doi: 10.1111/1462-2920.16185. Epub 2022 Oct 31.

Abstract

The rice rhizosphere microbiota is crucial for crop yields and nutrient use efficiency. However, little is known about how co-occurrence patterns, keystone taxa and functional gene assemblages relate to soil pH in the rice rhizosphere soils. Using shotgun metagenome analysis, the rice rhizosphere microbiome was investigated across 28 rice fields in east-central China. At higher pH sites, the taxonomic co-occurrence network of rhizosphere soils was more complex and compact, as defined by higher average degree, graph density and complexity. Network stability was greatest at medium pH (6.5 < pH < 7.5), followed by high pH (7.5 < pH). Keystone taxa were more abundant at higher pH and correlated significantly with key ecosystem functions. Overall functional genes involved in C, N, P and S cycling were at a higher relative abundance in higher pH rhizosphere soils, excepting C degradation genes (e.g. key genes involved in starch, cellulose, chitin and lignin degradation). Our results suggest that the rice rhizosphere soil microbial network is more complex and stable at higher pH, possibly indicating increased efficiency of nutrient cycling. These observations may indicate routes towards more efficient soil management and understanding of the potential effects of soil acidification on the rice rhizosphere system.

摘要

水稻根际微生物群对于作物产量和养分利用效率至关重要。然而,对于根际土壤中协同发生模式、关键类群和功能基因组合如何与土壤 pH 值相关,我们知之甚少。本研究使用高通量宏基因组分析,对中国中东部 28 个水稻田的水稻根际微生物组进行了研究。在 pH 值较高的地点,根际土壤的分类协同发生网络更加复杂和紧凑,其平均程度、图密度和复杂性更高。在中等 pH 值(6.5<pH<7.5)下,网络稳定性最大,其次是在高 pH 值(7.5<pH)下。关键类群在较高 pH 值下更为丰富,与关键生态系统功能显著相关。总体而言,参与 C、N、P 和 S 循环的功能基因在较高 pH 值的根际土壤中具有更高的相对丰度,但 C 降解基因除外(例如参与淀粉、纤维素、几丁质和木质素降解的关键基因)。我们的研究结果表明,在较高 pH 值下,水稻根际土壤微生物网络更加复杂和稳定,这可能表明养分循环效率提高。这些观察结果可能为更有效的土壤管理提供了途径,并有助于理解土壤酸化对水稻根际系统的潜在影响。

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