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Research Article
Shengwei Zhang
Inner Mongolia Agricultural University
Corresponding Author
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
Soil microorganisms play an indispensable role in the material and energy cycle of grassland ecosystem, and were affected by many environmental factors, such as time and space changes. However, there are few studies on the temporal and spatial transformation of soil microbial community in typical degraded steppe. We analyzed the community structure and diversity of soil bacteria and fungi and the effects of environmental factors on the community structure in Xilingol degraded steppe.
Results
The abundance and diversity of bacteria and fungi were significantly affected by depth. Bacteria and fungi diversity of 10 cm was higher than that of 20 cm and 30 cm. The abundance of Acidobacteria, Proteobacteria, Actinomycetes, Ascomycetes and Basidiomycetes varies significantly with depth. What’s more, soil pH increased significantly with depth increasing, while SOM, AN, VWC and ST decreased significantly with increasing depth. In addition, Depth, TOC and AN had significant impact on the bacterial and fungi communities (p < 0.05).
Conclusions
Spatial heterogeneity (depth) is more important than temporal (month) in predicting changes in microbial community composition and soil properties. And the abundance of Acidobacteria, Proteobacteria, Actinomycetes, Ascomycetes and Basidiomycetes varies significantly with depth. We speculate that SOM and VWC account for the abundance variations of Acidobacteria and Proteobacteria, and pH cause the abundance changes of Actinomycetes, Ascomycetes and Basidiomycota.
Keywords
soil microorganism, 16S rRNA gene, ITS rRNA gene, Eurasian steppe
Figure 1
Figure 2
Figure 3
Figure 4
This is a list of supplementary files associated with this preprint. Click to download.
- FigureS1.pdf
ANOSIM analysis of soil bacterial and fungal communities based on the Bray-Curtis distance algorithm. (A) and (B) represent bacteria and fungi at different soil depths; (C) and (D) represent bacteria and fungi in different months. Sitting vertically means Beta distance. The box graph above “All between group” represents the Beta distance data of all samples between groups, and the box graphs below are the Beta distance data between samples within different groups. 10, 20, and 30 represent 10 cm, 20 cm, and 30 cm of soil depths, respectively. May, Jun, Jul, Aug, Sep respectively represent different months of the growing season, namely May, June, July, August and September. The larger the R-value, the higher the interpretation degree of the grouping to the difference, and the greater the grouping difference. When the p-value is less than 0.05, the reliability of the test is high.
- FigureS2.pdf
The original diagram of the structural equation model. (A) and (B) represent SEM of bacteria and fungi respectively. The structural equation model was build based on the results of Pearson correlation analysis. The results show that our observed data fit well with the bacterial (χ2 /df = 1.16, p = 0.280, GIF = 0.935, RMSEA = 0.042) and fungal (χ2 /df = 1.11, p = 0.341, GIF = 0.944, RMSEA = 0.034) models.
- TableS1.docx
- TableS2.docx
- TableS3.docx
- TableS4.docx
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CURRENT STATUS: Under Review
Version 1
Posted 10 Feb, 2021
No community comments so far
Reviews received
Received 08 Feb, 2021
Reviewers invited
Invitations sent on 06 Feb, 2021
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On 02 Feb, 2021
First submitted
On 28 Jan, 2021
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Subject Areas
General Microbiology
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A new preprint design is coming!
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This preprint is under consideration at Annals of Microbiology. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research Article
Shengwei Zhang
Inner Mongolia Agricultural University
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 10 Feb, 2021
No community comments so far
Reviews received
Received 08 Feb, 2021
Reviewers invited
Invitations sent on 06 Feb, 2021
Editor assigned
On 02 Feb, 2021
First submitted
On 28 Jan, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
General Microbiology
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
Soil microorganisms play an indispensable role in the material and energy cycle of grassland ecosystem, and were affected by many environmental factors, such as time and space changes. However, there are few studies on the temporal and spatial transformation of soil microbial community in typical degraded steppe. We analyzed the community structure and diversity of soil bacteria and fungi and the effects of environmental factors on the community structure in Xilingol degraded steppe.
Results
The abundance and diversity of bacteria and fungi were significantly affected by depth. Bacteria and fungi diversity of 10 cm was higher than that of 20 cm and 30 cm. The abundance of Acidobacteria, Proteobacteria, Actinomycetes, Ascomycetes and Basidiomycetes varies significantly with depth. What’s more, soil pH increased significantly with depth increasing, while SOM, AN, VWC and ST decreased significantly with increasing depth. In addition, Depth, TOC and AN had significant impact on the bacterial and fungi communities (p < 0.05).
Conclusions
Spatial heterogeneity (depth) is more important than temporal (month) in predicting changes in microbial community composition and soil properties. And the abundance of Acidobacteria, Proteobacteria, Actinomycetes, Ascomycetes and Basidiomycetes varies significantly with depth. We speculate that SOM and VWC account for the abundance variations of Acidobacteria and Proteobacteria, and pH cause the abundance changes of Actinomycetes, Ascomycetes and Basidiomycota.
Figure 1
Figure 2
Figure 3
Figure 4
This is a list of supplementary files associated with this preprint. Click to download.
- FigureS1.pdf
ANOSIM analysis of soil bacterial and fungal communities based on the Bray-Curtis distance algorithm. (A) and (B) represent bacteria and fungi at different soil depths; (C) and (D) represent bacteria and fungi in different months. Sitting vertically means Beta distance. The box graph above “All between group” represents the Beta distance data of all samples between groups, and the box graphs below are the Beta distance data between samples within different groups. 10, 20, and 30 represent 10 cm, 20 cm, and 30 cm of soil depths, respectively. May, Jun, Jul, Aug, Sep respectively represent different months of the growing season, namely May, June, July, August and September. The larger the R-value, the higher the interpretation degree of the grouping to the difference, and the greater the grouping difference. When the p-value is less than 0.05, the reliability of the test is high.
- FigureS2.pdf
The original diagram of the structural equation model. (A) and (B) represent SEM of bacteria and fungi respectively. The structural equation model was build based on the results of Pearson correlation analysis. The results show that our observed data fit well with the bacterial (χ2 /df = 1.16, p = 0.280, GIF = 0.935, RMSEA = 0.042) and fungal (χ2 /df = 1.11, p = 0.341, GIF = 0.944, RMSEA = 0.034) models.
- TableS1.docx
- TableS2.docx
- TableS3.docx
- TableS4.docx
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