Fang Jie, Liu Zihao, Deng Yongcui, Song Bin, Adams Jonathan M
School of Geography and Ocean Sciences, Nanjing University, Nanjing, China.
School of Geography, Nanjing Normal University, Nanjing, China.
Front Plant Sci. 2024 Sep 4;15:1460462. doi: 10.3389/fpls.2024.1460462. eCollection 2024.
Climatic extremes, especially extreme droughts, are occurring more frequently and profoundly impacting biogeochemical processes. However, the relative importance of microbial communities on soil nutrient cycling and community maintenance under natural extreme drought events remains elusive. During a record-breaking drought in the Yangtze River Basin (YRB) in the summer of 2022, we collected ambient soils and drought-affected bare and vegetated soils in ecological buffer zones from two sites with similar soil and vegetation characteristics along the YRB, and examined the relative contribution of soil bacterial communities in supporting multi-nutrient cycling index (MNCI) involving carbon-, nitrate- and phosphorus-cycling and their associations with microbial network. Extreme drought decreased ( < 0.05) bacterial α-diversity but increased MNCI in vegetated soils at both sites, while both remained unchanged ( > 0.05) in bare soils, possibly as a result of vegetation releasing rhizodeposits under drought which selectively recruited bacterial communities. Bacterial community compositions were shifted ( < 0.05) only in vegetated soils, and they exerted more influence than α-diversity on soil MNCI. Notably, the Anaerolineae, identified as a biomarker enriched in vegetated soils, had close associations with enzyme activities and soil MNCI at both sites, suggesting their potential recruitment by vegetation to withstand drought. Furthermore, key ecological clusters (Module 1) in bacterial co-occurrence networks at both sites supported ( < 0.05) higher MNCI, despite no substantial variation in network structure due to drought. Specifically, the most important taxa within Module 1 for predicting soil MNCI revealed by random forest modeling analysis (R = 0.44 - 0.63, < 0.001), such as B1-7BS, SBR1031 and Nocardioides, could be deeply involved in soil nitrogen-cycling, suggesting an essential role of specialized interactions of bacterial communities in maintaining soil multifunctionality. Overall, this study demonstrates that changes in biomarkers and functional taxa under extreme drought may better reflect the biological mechanisms involved in microbial communities impacting ecosystem function, which may aid in forecasting the ecological consequences of ongoing climate change in the ecological buffer zones along the YRB.
极端气候,尤其是极端干旱,正愈发频繁地出现,并对生物地球化学过程产生深远影响。然而,在自然极端干旱事件下,微生物群落对土壤养分循环和群落维持的相对重要性仍不明确。在2022年夏季长江流域(YRB)破纪录的干旱期间,我们从YRB沿线两个土壤和植被特征相似的地点的生态缓冲区收集了环境土壤以及受干旱影响的裸露土壤和植被覆盖土壤,并研究了土壤细菌群落在支持涉及碳、硝酸盐和磷循环的多养分循环指数(MNCI)方面的相对贡献及其与微生物网络的关联。极端干旱降低了(<0.05)两个地点植被覆盖土壤中的细菌α多样性,但增加了MNCI,而在裸露土壤中两者均保持不变(>0.05),这可能是由于干旱条件下植被释放根际沉积物,选择性地招募了细菌群落。细菌群落组成仅在植被覆盖土壤中发生了变化(<0.05),并且它们对土壤MNCI的影响比α多样性更大。值得注意的是,Anaerolineae被确定为在植被覆盖土壤中富集的生物标志物,在两个地点都与酶活性和土壤MNCI密切相关,这表明它们可能被植被招募以抵御干旱。此外,尽管干旱导致网络结构没有实质性变化,但两个地点细菌共现网络中的关键生态集群(模块1)支持(<0.05)更高的MNCI。具体而言,随机森林建模分析揭示的模块1中预测土壤MNCI最重要的分类群(R = 0.44 - 0.63,<0.001),如B1 - 7BS、SBR1031和诺卡氏菌属,可能深度参与土壤氮循环,这表明细菌群落的特定相互作用在维持土壤多功能性方面具有重要作用。总体而言,本研究表明,极端干旱下生物标志物和功能分类群的变化可能更好地反映微生物群落影响生态系统功能的生物学机制,这可能有助于预测YRB沿线生态缓冲区当前气候变化的生态后果。