Edaphic variables influence soil bacterial structure under successive fertilization of Paulownia plantation substituting native vegetation

Liu, Sen; Li, Peng; Zwieten, Lukas Van; Jia, Tao; Gan, Weixiang; Lü, Sheng; Wang, Hailong; Wu, Lichao

doi:10.1007/s11368-021-02998-9

Cited by 6 publications

(4 citation statements)

References 47 publications

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“…Contrarily, the application of OCPF, OCF and CPF had significant side effects on the relative abundance of Chloroflexi, and the growth and development of this phylum taxa are likely to be limited by the accumulation of soil nutrients. This is similar to the results of Liu et al [ 76 ] and Durand et al [ 84 ], who indicated that Chloroflexi is slow-growing taxa that is classified as an oligotroph.…”

Section: Discussionsupporting

confidence: 92%

“…Determining the variations in soil bacterial composition between fertilization versus no fertilization treatment can effectively assess the effect of soil quality, health and fertilization on artificial forest ecosystems [ 76 ]. In the present study, although fertilization had no effect on the alpha diversity of bacteria ( Figure 1 ), significant differences were revealed in bacterial community structure among the different treatments ( p < 0.01, Figure S2 ).…”

Section: Discussionmentioning

confidence: 99%

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The Application of Mixed Organic and Inorganic Fertilizers Drives Soil Nutrient and Bacterial Community Changes in Teak Plantations

et al. 2022

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Appropriate fertilization can enhance forest productivity by maintaining soil fertility and improving the structure of the bacterial community. However, there is still uncertainty surrounding the effects of combined application of organic and inorganic fertilizers on soil nutrient status and bacterial community structure. A fertilization experiment was set up in an eight-year-old teak plantation with five treatments involved: mixed organic and NPK compound fertilizers (OCF), mixed organic and phosphorus fertilizers (OPF), mixed organic, NPK and phosphorus fertilizers (OCPF), mixed NPK and phosphorus fertilizers (CPF) and no fertilization (CK). Soil chemical properties and bacterial communities were investigated, and the co-occurrence pattern of the bacterial community under different fertilization treatments was compared. The results showed that the contents of soil organic matter and nitrate nitrogen, and the soil pH values were the highest after OCPF treatment, which were 20.39%, 90.91% and 8.16% higher than CK, respectively. The richness and diversity of bacteria underwent no obvious changes, but the structure of the soil’s bacterial community was significantly altered by fertilization. Of the dominant bacteria taxa, the relative abundance increased for Gemmatimonadetes, Myxococcota, ADurb.Bin063-13 and Candidatus_Koribacter, and decreased for Chloroflexi, Proteobacteria, JG30-KF-AS9 and Acidothermus under OCPF treatment in comparison to CK. The number of nodes and edges, the average degree and the network density of bacterial community co-occurrence networks were the greatest in OCPF treatment, indicating that application of OCPF could make the network structure of soil bacteria more stable and complex. Moreover, soil pH and organic matter were significantly correlated with bacterial community structure and were considered the main influencing factors. These findings highlight that the combined application of organic, NPK and phosphorus fertilizers is highly beneficial for improving soil quality and optimizing bacterial community structure in teak plantations.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

The Application of Mixed Organic and Inorganic Fertilizers Drives Soil Nutrient and Bacterial Community Changes in Teak Plantations

et al. 2022

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“…This result was supported by Procopio et al [ 62 ], who investigated changes in soil microbial communities associated with the decomposition of buried carcasses and found that the relative abundances of Proteobacteria, Firmicutes and Bacteroidetes increased with increasing PMIs. Many genera belonging to Firmicutes were confirmed to have the ability to transform organic nitrogen to NH 4 + -N [ 63 ]. Our data showed that the relative abundance of Firmicutes was significantly correlated with the content of NH 4 + -N (r = 0.73, p < 0.01, Table S2 ), indicating that this phylum may play an important role in nitrogen cycling.…”

Section: Discussionmentioning

confidence: 99%

Predicting the Postmortem Interval Based on Gravesoil Microbiome Data and a Random Forest Model

et al. 2022

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The estimation of a postmortem interval (PMI) is particularly important for forensic investigations. The aim of this study was to assess the succession of bacterial communities associated with the decomposition of mouse cadavers and determine the most important biomarker taxa for estimating PMIs. High-throughput sequencing was used to investigate the bacterial communities of gravesoil samples with different PMIs, and a random forest model was used to identify biomarker taxa. Redundancy analysis was used to determine the significance of environmental factors that were related to bacterial communities. Our data showed that the relative abundance of Proteobacteria, Bacteroidetes and Firmicutes showed an increasing trend during decomposition, but that of Acidobacteria, Actinobacteria and Chloroflexi decreased. At the genus level, Pseudomonas was the most abundant bacterial group, showing a trend similar to that of Proteobacteria. Soil temperature, total nitrogen, NH4+-N and NO3−-N levels were significantly related to the relative abundance of bacterial communities. Random forest models could predict PMIs with a mean absolute error of 1.27 days within 36 days of decomposition and identified 18 important biomarker taxa, such as Sphingobacterium, Solirubrobacter and Pseudomonas. Our results highlighted that microbiome data combined with machine learning algorithms could provide accurate models for predicting PMIs in forensic science and provide a better understanding of decomposition processes.

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“…The ITS region of fungal DNA was amplified using the forward primer ITS1 (5 -CTTGGTCATTTAGAGGAAGTAA-3 ) and the reverse primer ITS2 (5 -GCTGCGTTCTTCATCGATGC-3 ) [33]. The PCR reactions were performed using the Phusion ® High-Fidelity PCR Master Mix with GC Buffer from New England Biolabs [34,35]. The PCR amplification was carried out with efficient and high-fidelity enzymes to ensure amplification efficiency and accuracy.…”

Section: Characterization Of Rhizosphere Soil Microbial Microbiomementioning

confidence: 99%

Impact of Root Rot Disease of Zanthoxylum armatum on Rhizosphere Soil Microbes and Screening of Antagonistic Bacteria

Han,

Zheng,

et al. 2023

Forests

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Zanthoxylum armatum, a significant forest plant in southwestern China, is crucial for preserving soil and water resources. However, the presence of root rot disease has led to plant death, impacting the pepper sector. Effective control measures for this disease are still lacking. Rhizosphere microorganisms play a vital role in plant health by inhibiting plant pathogens and inducing plant resistance. This research aimed to isolate and characterize the pathogen responsible for root rot disease in Z. armatum. Comparative analysis of fungal and bacterial communities in the rhizosphere soil of healthy and diseased plants revealed Fusarium solani as the pathogenic fungus causing root rot disease. Diseased plants had a higher occurrence of Fusarium spp., while disease-free plants had a higher abundance of ecologically beneficial microbial communities that could potentially serve as biocontrol agents. Three bacterial strains (Bacillus subtilis, Bacillus amyloliquefaciens, and Bacillus siamensis) were identified as effective biocontrol agents, inhibiting the growth of the pathogenic fungus F. solani both in vivo and in vitro. This study deepens our understanding of the rhizosphere soil microbial community differences between diseased and healthy Z. armatum, providing potential biocontrol bacteria to enhance plant resistance against root rot disease.

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Edaphic variables influence soil bacterial structure under successive fertilization of Paulownia plantation substituting native vegetation

Cited by 6 publications

References 47 publications

The Application of Mixed Organic and Inorganic Fertilizers Drives Soil Nutrient and Bacterial Community Changes in Teak Plantations

The Application of Mixed Organic and Inorganic Fertilizers Drives Soil Nutrient and Bacterial Community Changes in Teak Plantations

Predicting the Postmortem Interval Based on Gravesoil Microbiome Data and a Random Forest Model

Impact of Root Rot Disease of Zanthoxylum armatum on Rhizosphere Soil Microbes and Screening of Antagonistic Bacteria

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