Little environmental adaptation and high stability of bacterial communities in rhizosphere rather than bulk soils in rice fields
Introduction
The soil bacterial community, an integral component of agricultural ecosystems, drives critical biogeochemical cycles and maintains soil productivity (Zhou et al., 2019). The relationship between soil communities and crop growth and health has been extensively investigated in recent years (Niu et al., 2017; She et al., 2017). Exudations from crop roots alter the biogeochemistry and communities of surrounding soils, resulting in a unique and complex ecological rhizosphere zone (Turner et al., 2013). Significantly different bacterial community compositions have been identified between rhizosphere and bulk soils in multiple real-agricultural systems (Donn et al., 2015; Fan et al., 2017). Bacterial diversity varies along environmental gradients, and with nutrient availability (D. Shen et al., 2018; Huber et al., 2020). Equally, differences in nutrient uptake and environmental stress adaptations of species also lead to bacterial growth heterogeneity and abundance (Salcher et al., 2013). These factors also can result in an inhomogeneous distribution of bacterial community between rhizosphere and bulk soil in a local agricultural field (Cheng et al., 2019; Qin et al., 2019). Therefore, deciphering these bacterial communities in rhizosphere and bulk soils is vital for our understanding of microbe-driven ecological processes and functions in agricultural ecosystems.
Microbial communities efficiently regulate nutrient-use to manage imbalanced resources (Guo et al., 2018). Previous studies have investigated agricultural soil bacterial communities at relatively high taxonomic levels, e.g. phylum or class, as responses to environmental changes at these levels are easier to predict (Cederlund et al., 2014; Chen et al., 2016; Philippot et al., 2010). However, ecological functions and environmental stress adaptations of species in the same high taxonomic group are not always consistent. Therefore, it is important to investigate bacterial community responses to environmental changes at a higher resolution. Recently, network analyses have explored the co-occurrence patterns of bacterial species in different environments (Berry and Widder, 2014; Ma et al., 2016), thereby deciphering the structures and assemblies of such complex communities (Faust and Raes, 2012). In agricultural ecosystems, Mendes et al. (2014) demonstrated that the rhizosphere community was a subset of the bulk soil community based on co-occurrence networks. In addition, Fan et al. (2018) observed that the wheat rhizosphere harbored a less complex and more stable microbial co-occurrence pattern than bulk soil. Although some valuable findings have been reported, differences in ecological functions and bacterial co-occurrence patterns between rhizosphere and bulk soils have not been fully understood yet.
Disentangling the contribution of different ecological processes towards community assembly is key to microbial ecology (Stegen et al., 2016). Bacterial community assembly is influenced by both selective and non-selective processes, which are governed by two complementary mechanisms; niche- and neutral-based theories (Hubbell, 2001; Bahram et al., 2015). The former asserts that deterministic processes, induced by abiotic (temperature and salinity) and biotic factors (predation and competition), shape bacterial communities (Liu et al., 2015; Wei et al., 2016). In contrast, the latter proposes that bacterial communities are shaped by stochastic processes, such as birth, death, immigration, limited dispersal, and drift (Sloan et al., 2006; Chen et al., 2019). Naturally, environmental factors have important roles in balancing these processes (Jiao and Lu, 2020a), e.g., dissolved oxygen in eutrophic lakes mediate deterministic and stochastic governance in bacterioplankton community assembly (Wan et al., 2021). In addition, pH is a main factor influencing the relative importance of these processes across successional soils (Tripathi et al., 2018). Currently, many studies have focused on comparisons of composition and function of bacterial communities between the rhizosphere and bulk soils (Fonseca et al., 2018; Pascual et al., 2018; Yang et al., 2013). However, the assembly dynamics of these communities and their relationships with environmental variables in the rhizosphere and bulk soil of agricultural crops remain unclear.
Here, we used rice field experiments to characterize differences in composition, function, and bacterial community interactions between the rhizosphere and bulk soils. We also determined the ecological processes that shaped community assembly. Our aims were to: (i) decipher bacterial co-occurrence patterns in the rhizosphere and bulk soils; (ii) explore potential relationships between bacterial clustering patterns, community functions, and environmental variables; and (iii) investigate the major environmental variables influencing the assembly process of bacterial communities between the rhizosphere and bulk soils. To achieve these goals, we performed high-throughput sequencing based on 16S rRNA in rhizosphere versus bulk soils in 27 rice fields, in relation to 16 environmental variables. Our findings will enhance our understanding of bacterial community structuring processes in rice systems and improve management strategies for agricultural ecosystems.
Section snippets
Study area and sample collection
Field experiments were conducted at Xinxiang (35°18′N, 113°52′E), Henan province, Northern China. The area is part of the Yellow River rice zone, where a rice cropping system using conventional tillage is established. The basic physical and chemical properties of the soil were: pH 8.99, organic matter (OM) of 4.33%, total nitrogen (TN) of 0.344 mg/g, available phosphorus (AP) of 8.08 mg/kg, and available potassium (AK) of 60.8 mg/kg. Three fertilizer cultivation measures and three irrigation
Overview of soil bacterial communities
We examined the bacterial communities from the rhizosphere and bulk soils from 27 rice fields. In total, 54 samples were sequenced to produce 12,474,147 high-quality tags, ranging from 71,802–384,204 tags per sample, with an average of 226,249 and 235,756 tags for rhizosphere and bulk soils, respectively. These tags were clustered into 28,453 and 29,167 OTUs at the 97% similarity level for rhizosphere and bulk soil, respectively. Among them, 6602 and 8388 OTUs were detected in > half of
Discussion
This study explored bacterial communities in rhizosphere and bulk soils from a rice cropping system, covering three different fertilizer treatments coupled with three different irrigation treatments. However, treatment variability did not conceal significant differences in bacterial communities between the rhizosphere and bulk soils. Previous studies reported that fertilization regimes could change soil bacterial communities and activities (Ding et al., 2015; Ling et al., 2016; Guo et al., 2018
Conclusions
We characterized differences in taxonomy and phylogeny diversities, co-occurrence patterns, environmental adaptation, and assembly mechanisms of bacterial communities in rhizosphere and bulk soils, in a rice cropping experimental system. Significant differences in α-diversity and bacterial community composition between the rhizosphere and bulk soils were observed. Co-occurrence networks and β-diversity analyses indicated a higher stability, broader phylogenetic distribution, and lower
CRediT authorship contribution statement
Tian Guangli: Investigation, Writing Original draft preparation, Funding acquisition. Qi Dongliang and Zhou Xinguo: Project administration, Supervision. QiuHusen and Li Dongwei: Methodology. Zhen Bo and Li Huizhen: Formal analysis. Wang Yuting and Niu Qinglin: Data curation.
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgements
This work was supported by grants from the National Natural Science Foundation of China (Project No. 51809270), and the Scientific and Technological Project of Henan Province (Project No. 212102110263). Furthermore, I wish to thank reviewer experts for their valuable comments and recommendations, and the support and assistance from colleagues and family to my work.
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