Scientia Agricultura Sinica ›› 2026, Vol. 59 ›› Issue (2): 354-367.doi: 10.3864/j.issn.0578-1752.2026.02.010

• SOIL & FERTILIZER·WATER-SAVING IRRIGATION·AGROECOLOGY & ENVIRONMENT • Previous Articles     Next Articles

Effects of Long-Term Combination of Organic and Inorganic Fertilizers on Bacterial Community Structure, Ecological Network, and Key Species in Fluvo-Aquic Soil

WANG RenZhuo1,2(), LI YueYing1,2(), HUANG ShaoMin3, JIANG GuiYing1,2(), ZHANG Qi5, LIU ChaoLin1,2, YANG Jin1,2, WANG MengRu1,2, WANG BeiBei1,2, LIU Fang1,2, GUO DouDou3, JIE XiaoLei1,2, SONG Lian4, LIU ShiLiang1,2()   

  1. 1 College of Resources and Environment, Henan Agricultural University/Key Laboratory of Arable Land Quality Conservation in the Huang-Huai-Hai Plain, Ministry of Agriculture and Rural Affairs, Zhengzhou 450046
    2 State Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping, Henan Agricultural University, Zhengzhou 450046
    3 Institute of Plant Nutrition and Resource Environment, Henan Academy of Agricultural Sciences, Zhengzhou 450002
    4 Institute of Soil Science, Chinese Academy of Sciences, Nanjing 211135
    5 Agricultural Mechanization Technology School in Pingqiao District, Xinyang City, Henan Province, Xinyang 464000, Henan
  • Received:2025-03-11 Accepted:2025-04-17 Online:2026-01-16 Published:2026-01-22
  • Contact: JIANG GuiYing, LIU ShiLiang

Abstract:

【Objective】 Based on the long-term fertilization station in fluvo-aquic soil region, this study investigated how bacterial community structure, ecological network, and key species in response to fertilization. 【Method】 Based on the long-term experiment started from 1990, soil was sampled after wheat maturity in 2023, and high-throughput sequencing and ecological network analysis were used to examine dynamics in soil organic carbon (SOC) and other nutrients, enzyme activity, bacterial community composition, ecological network and stochastic process under four treatments: no fertilization (CK), mineral nitrogen (N), phosphorus (P), and potassium (K) (NPK), NPK+straw (NPKS), and NPK+manure (NPKM). 【Result】 The combined application of organic and inorganic fertilizers significantly increased SOC and other soil nutrients, as well as soil enzyme activity. Compared with CK, SOC content under NPKS and NPKM increased by 52.1% and 81.9%, respectively, and particulate carbon increased by 60.6% and 137.4%, respectively, and easily oxidized organic carbon increased by 45.3% and 63.4%, respectively; additionally, β-N-acetylglucosaminidase activity increased by 7.2% and 12.6%, respectively, while alkaline phosphatase activity increased by 166.4% and 216.2% (P<0.05), respectively. Notably, β-1,4-glucosidase activity was the highest under NPKS (63.82 μmol·g-1·d-1). In terms of bacterial diversity, α-diversity significantly decreased under NPKS compared with CK, with reductions of 5.4%, 5.2%, and 2.6% in the Ace, Chao1, and Shannon indices, respectively (P<0.05). Fertilization treatment alerted bacterial community structure, while NPKS and NPKM exhibited similar compositions. Compared with CK, NPKS significantly reduced the relative abundance of Chloroflexi, Gemmatimonadota, and Methylomirabilota, while NPKM significantly increased the relative abundance of Bacteroidota (P<0.05). Redundancy analysis identified ammonium nitrogen (NH4+-N), nitrate nitrogen (NO3--N), and organic carbon (SOC) as the primary environmental factors shaping microbial community structure. Network analysis showed, compared with CK, NPKM increased the complexity, stability of the bacterial community network and the proportion of positive correlations between species. Furthermore, both NPKS and NPKM significantly enhanced the relative abundances of eight keystone taxa, including members of Actinobacteriota (order Microtrichales), Chloroflexi (order Thermomicrobiales), Bacteroidota (orders Chitinophagales and Cytophagales), Myxococcota (uncultured order bacteriap25), and Proteobacteria (order Burkholderiales) (P<0.05). These keystone taxa were closely associated with soil carbon, nitrogen, phosphorus, and other material cycling, as well as plant growth promotion. Partial least squares path modeling suggested that fertilization did not directly impact key species but exerted an indirect influence by significantly affecting soil pH, regulating community composition, and increasing soil nutrient availability. 【Conclusion】 Long-term combined application of organic and inorganic fertilizers enhanced soil nutrient content and extracellular enzyme activity, regulated microbial community composition and structure, affected bacterial network complexity and stability, and increased the relative abundance of key species involved in soil nutrient cycling and material transformation. These findings provided valuable insights into the interactions between soil properties and microbial communities under long-term fertilization, contributing to a deeper understanding of bacterial community dynamics and key species in agricultural ecosystems.

Key words: long-term fertilization, fluvo-aquic soil, bacterial community structure, network analysis, key species

Fig. 1

Soil physicochemical properties and enzyme activity under different treatments Different letters indicated significant difference between treatments. The error bars on the columns represents standard deviations. The same as below"

Table 1

Alpha diversity of bacterial communities under different treatments"

处理 Treatment Ace指数 Ace index Chao1指数 Chao1 index Shannon指数 Shannon index Coverage指数 Coverage index
CK 4986.56±89.04a 4848.62±87.69a 6.98±0.04a 0.98
NPK 4961.90±38.23a 4783.47±16.68a 6.96±0.04a 0.98
NPKS 4718.30±71.41b 4562.25±73.74b 6.81±0.03b 0.98
NPKM 4967.40±28.56a 4809.90±44.68a 6.95±0.02a 0.98

Fig. 2

Differences in the structure of soil bacterial communities under different treatments"

Table 2

The phylum-level composition of the bacterial community in each treatment (%)"

细菌门类Bacterial Phyla CK NPK NPKS NPKM
变形菌门Proteobacteria 18.97±2.92a 23.01±2.44a 21.31±3.33a 26.11±5.25a
放线菌门Actinobacteriota 19.79±2.35a 22.10±0.79a 20.39±2.41a 22.61±1.73a
酸杆菌门Acidobacteriota 22.08±4.23a 18.62±4.32a 22.96±6.48a 14.67±6.15a
绿弯菌门Chloroflexi 12.92±0.87a 11.44±1.16ab 9.89±0.28b 10.95±2.06ab
厚壁菌门Firmicutes 4.75±0.76a 3.72±0.86a 5.93±0.63a 5.07±1.78a
拟杆菌门Bacteroidota 1.99±0.48b 3.16±0.47ab 3.50±0.58ab 4.51±1.41a
芽单胞菌门Gemmatimonadota 3.42±0.12a 3.67±0.13a 2.77±0.12b 3.20±0.46ab
黏球菌门Myxococcota 2.65±0.39a 2.56±0.39a 2.38±0.31a 2.34±0.43a
甲基微菌门Methylomirabilota 2.50±0.36a 2.07±0.07b 1.74±0.12b 1.90±0.06b

Fig. 3

Network characteristics of soil bacteria (A. Bacterial community network diagram; B. Robustness; C. Vulnerability) Different letters indicated significant difference between treatments. The same as below"

Fig. 4

Within-module connectivity and among-module connectivity of nodes"

Fig. 5

Redundancy analysis (RDA) of soil physicochemical properties and soil bacterial community SOC: Soil organic carbon; POC: Particulate organic carbon; ROC: Readily oxidizable organic carbon; NH4+-N: Ammonium nitrogen; NO3--N: Nitrate nitrogen; AP: Available phosphorus; βG: β-glucosidase; NAG: N-Acetyl glucosidase; AP: Alkaline phosphatase. The same as below"

Fig. 6

Pearson correlation and Mantel test analysis of soil physicochemical properties, enzyme activities and bacterial community composition and keystone species"

Fig. 7

Partial least squares path model of fertilization, soil physicochemical properties, enzyme activities and soil bacterial communities R2 represents the proportion of variance explained by the endogenous variable, solid lines represent that the statistics are statistically significant (***: P<0.001; **: P<0.01; *: P<0.05), dotted lines represent non-significance, and width of each arrow and the numbers attached to it are the relative influence of the modeling relationship (i.e., standardized path coefficients, positive values are represented by a brown line in the chart, negative values by a green line.)"

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