This study investigated the effects of soil physicochemical properties on bacterial community structure and function in tobacco rhizosphere (GJ) and bulk soil (GW), aiming to elucidate key environmental drivers and their mechanisms. Field experiments were conducted in five-year continuous tobacco cultivation fields in Lichuan City, Hubei Province. Soil samples were collected from healthy (JK) and diseased (FB) plants at 45, 75, and 105 days post-transplantation. Soil parameters, including pH, organic matter (OM), macronutrients (AN, P, K), and micronutrients (Fe, Mn) were analyzed. Bacterial communities were characterized via 16S rRNA gene sequencing, and interactive effects of microhabitat, soil status, and sampling time were assessed using linear mixed-effects models (LMMs). Results demonstrated that microhabitat exerted the strongest influence on bacterial diversity (β = 1.70 - 1.83, p < 0.0001), surpassing soil type and sampling time. Rhizosphere soils exhibited significant increases in AN, K, pH, TN, Ca, Mg, and Mn, but decreases in P, OM, Fe, and Cu. Microhabitat differentiation elevated the abundance of beneficial phyla including Chloroflexi (β = 1.9), Actinobacteria (β = 1.7), and Bacteroidetes (β = 1.3), while reducing Proteobacteria (β = ?1.6), Cyanobacteria (β = ?0.8), and Firmicutes (β = ?0.5). At the genus level, Bacillus (β = 0.35) and Streptomyces (β = 0.96) were enriched, whereas Pseudomonas (β = ?1.27) was depleted. Mantel tests revealed significant correlations between Fe, Mn, P, and microbial composition (r = 0.42 - 0.58, p < 0.01), suggesting micronutrients drive community assembly through direct metabolic regulation or indirect environmental modulation. These findings highlight that soil microhabitats critically shape root-associated microbial diversity and functional guilds via physicochemical property mediation, providing a theoretical foundation for optimizing soil health management and microbial ecological regulation in tobacco production systems.
References
[1]
Kakar, K.U., Nawaz, Z., Cui, Z., Ahemd, N. and Ren, X. (2020) Molecular Breeding Approaches for Production of Disease-Resilient Commercially Important Tobacco. Briefings in Functional Genomics, 19, 10-25. https://doi.org/10.1093/bfgp/elz038
[2]
Han, T., Zhang, L., Gao, J., Kong, J., Feng, C., Wang, J. and Zhang, C. (2016) [Correlation between Root Irrigation of Bacillus subtilis Tpb55 and Variation of Bacterial Diversity in Tobacco Rhizosphere]. Acta microbiologica Sinica, 56, 835-45. (In Chinese)
[3]
Hashem, A., Tabassum, B. and Fathi Abd Allah, E. (2019) Bacillus Subtilis: A Plant-Growth Promoting Rhizobacterium That Also Impacts Biotic Stress. Saudi Journal of Biological Sciences, 26, 1291-1297. https://doi.org/10.1016/j.sjbs.2019.05.004
[4]
Ge, J., Li, D., Ding, J., Xiao, X. and Liang, Y. (2023) Microbial Coexistence in the Rhizosphere and the Promotion of Plant Stress Resistance: A Review. Environmental Research, 222, Article ID: 115298. https://doi.org/10.1016/j.envres.2023.115298
[5]
Vurukonda, S.S.K.P., Vardharajula, S., Shrivastava, M. and Skz, A. (2016) Enhancement of Drought Stress Tolerance in Crops by Plant Growth Promoting Rhizobacteria. Microbiological Research, 184, 13-24. https://doi.org/10.1016/j.micres.2015.12.003
[6]
Rovira, A.D. (1956) A Study of the Development of the Root Surface Microflora during the Initial Stages of Plant Growth. Journal of Applied Bacteriology, 19, 72-79. https://doi.org/10.1111/j.1365-2672.1956.tb00048.x
[7]
Tan, W., Nian, H., Tran, L.P., Jin, J. and Lian, T. (2024) Small Peptides: Novel Targets for Modulating Plant-Rhizosphere Microbe Interactions. Trends in Microbiology, 32, 1072-1083. https://doi.org/10.1016/j.tim.2024.03.011
[8]
Tripathi, B.M., Stegen, J.C., Kim, M., Dong, K., Adams, J.M. and Lee, Y.K. (2018) Soil pH Mediates the Balance between Stochastic and Deterministic Assembly of Bacteria. The ISME Journal, 12, 1072-1083. https://doi.org/10.1038/s41396-018-0082-4
[9]
Tian, J., He, N., Hale, L., Niu, S., Yu, G., Liu, Y., et al. (2017) Soil Organic Matter Availability and Climate Drive Latitudinal Patterns in Bacterial Diversity from Tropical to Cold Temperate Forests. Functional Ecology, 32, 61-70. https://doi.org/10.1111/1365-2435.12952
[10]
Lauber, C.L., Hamady, M., Knight, R. and Fierer, N. (2009) Pyrosequencing-Based Assessment of Soil pH as a Predictor of Soil Bacterial Community Structure at the Continental Scale. Applied and Environmental Microbiology, 75, 5111-5120. https://doi.org/10.1128/aem.00335-09
[11]
Shi, Y., Li, Y., Yang, T. and Chu, H. (2021) Threshold Effects of Soil pH on Microbial Co-Occurrence Structure in Acidic and Alkaline Arable Lands. Science of the Total Environment, 800, Article ID: 149592. https://doi.org/10.1016/j.scitotenv.2021.149592
[12]
Bulgarelli, D., Schlaeppi, K., Spaepen, S., van Themaat, E.V.L. and Schulze-Lefert, P. (2013) Structure and Functions of the Bacterial Microbiota of Plants. Annual Review of Plant Biology, 64, 807-838. https://doi.org/10.1146/annurev-arplant-050312-120106
[13]
Xiao, C., Yang, L., Zhang, L., Liu, C. and Han, M. (2016) Effects of Cultivation Ages and Modes on Microbial Diversity in the Rhizosphere Soil of Panax Ginseng. Journal of Ginseng Research, 40, 28-37. https://doi.org/10.1016/j.jgr.2015.04.004
[14]
Bulgarelli, D., Garrido-Oter, R., Münch, P.C., Weiman, A., Dröge, J., Pan, Y., et al. (2015) Structure and Function of the Bacterial Root Microbiota in Wild and Domesticated Barley. Cell Host & Microbe, 17, 392-403. https://doi.org/10.1016/j.chom.2015.01.011
[15]
Bárcenas-Moreno, G., Jiménez-Compán, E., San Emeterio, L.M., Jiménez-Morillo, N.T. and González-Pérez, J.A. (2022) Soil pH and Soluble Organic Matter Shifts Exerted by Heating Affect Microbial Response. International Journal of Environmental Research and Public Health, 19, Article 15751. https://doi.org/10.3390/ijerph192315751
[16]
Belopukhov, S.L., Grigoryeva, M.V., Bagnavets, N.L., Osipova, A.V. and Rybkin, I.D. (2023) The Influence of Agrotechnologies of Organic Farming on the Content of Humus, Phosphorus and Potassium in the Soil. Brazilian Journal of Biology, 83, e275585. https://doi.org/10.1590/1519-6984.275585
[17]
Greenberg, A.E., Trussell, R.R., Clesceri, L.S., et al. (2005) Standard Methods for the Examination of Water and Wastewater: Supplement to the Sixteenth Edition. American Journal of Public Health & the Nation’s Health, 56, 387.
[18]
Worsfold, P., Gimbert, L., Mankasingh, U., Omaka, O., Hanrahan, G., Gardolinski, P., et al. (2005) Sampling, Sample Treatment and Quality Assurance Issues for the Determination of Phosphorus Species in Natural Waters and Soils. Talanta, 66, 273-293. https://doi.org/10.1016/j.talanta.2004.09.006
[19]
De Bortoli, M.C. and Gaglione, P.V. (1966) Comparison of Flame Photometry and γ Spectrometry for the Determination of Potassium in Environmental Samples. Minerva Fisiconucleare, 10, 114-119.
[20]
Albertsen, M., Karst, S.M., Ziegler, A.S., Kirkegaard, R.H. and Nielsen, P.H. (2015) Back to Basics—The Influence of DNA Extraction and Primer Choice on Phylogenetic Analysis of Activated Sludge Communities. PLOS ONE, 10, e0132783. https://doi.org/10.1371/journal.pone.0132783
[21]
Pichler, M., Coskun, Ö.K., Ortega‐Arbulú, A., Conci, N., Wörheide, G., Vargas, S., et al. (2018) A 16S rRNA Gene Sequencing and Analysis Protocol for the Illumina MiniSeq Platform. MicrobiologyOpen, 7, e00611. https://doi.org/10.1002/mbo3.611
[22]
Parada, A.E., Needham, D.M. and Fuhrman, J.A. (2015) Every Base Matters: Assessing Small Subunit rRNA Primers for Marine Microbiomes with Mock Communities, Time Series and Global Field Samples. Environmental Microbiology, 18, 1403-1414. https://doi.org/10.1111/1462-2920.13023
[23]
Magoč, T. and Salzberg, S.L. (2011) FLASH: Fast Length Adjustment of Short Reads to Improve Genome Assemblies. Bioinformatics, 27, 2957-2963. https://doi.org/10.1093/bioinformatics/btr507
[24]
Edgar, R.C. (2016) UNOISE2: Improved Error-Correction for Illumina 16S and ITS Amplicon Sequencing.
[25]
Han, N., Peng, X., Zhang, T., Qiang, Y., Li, X. and Zhang, W. (2020) [A New Quantitative 16S rRNA Amplicon Sequencing Method]. Chinese Journal of Biotechnology, 36, 2548-2555. (In Chinese)
[26]
Johnson, J.S., Spakowicz, D.J., Hong, B., Petersen, L.M., Demkowicz, P., Chen, L., et al. (2019) Evaluation of 16S rRNA Gene Sequencing for Species and Strain-Level Microbiome Analysis. Nature Communications, 10, Article No. 5029. https://doi.org/10.1038/s41467-019-13036-1
[27]
Clemente, J.C., Jansson, J. and Valiente, G. (2009) Accurate Taxonomic Assignment of Short Pyrosequencing Reads. Pacific Symposium on Biocomputing 2010, Kamuela, 4-8 January 2010, 3-9. https://doi.org/10.1142/9789814295291_0002
[28]
Quast, C., Pruesse, E., Yilmaz, P., Gerken, J., Schweer, T., Yarza, P., et al. (2012) The SILVA Ribosomal RNA Gene Database Project: Improved Data Processing and Web-Based Tools. Nucleic Acids Research, 41, D590-D596. https://doi.org/10.1093/nar/gks1219
[29]
Bolyen, E., Rideout, J.R., Dillon, M.R., Bokulich, N.A., Abnet, C.C., Al-Ghalith, G.A., et al. (2019) Author Correction: Reproducible, Interactive, Scalable and Extensible Microbiome Data Science Using QIIME 2. Nature Biotechnology, 37, 1091-1091. https://doi.org/10.1038/s41587-019-0252-6
[30]
Zverev, A.O., Kichko, A.A., Pinaev, A.G., Provorov, N.A. and Andronov, E.E. (2021) Diversity Indices of Plant Communities and Their Rhizosphere Microbiomes: An Attempt to Find the Connection. Microorganisms, 9, Article 2339. https://doi.org/10.3390/microorganisms9112339
[31]
Lamprianou, I. (2013) Application of Single-Level and Multi-Level Rasch Models Using the LME4 Package. Journal of Applied Measurement, 14, 79-90.
[32]
Shi, Y., Li, Y., Xiang, X., Sun, R., Yang, T., He, D., et al. (2018) Spatial Scale Affects the Relative Role of Stochasticity versus Determinism in Soil Bacterial Communities in Wheat Fields across the North China Plain. Microbiome, 6, Article No. 27. https://doi.org/10.1186/s40168-018-0409-4
[33]
Carey, J.C., Tang, J., Templer, P.H., Kroeger, K.D., Crowther, T.W., Burton, A.J., et al. (2016) Temperature Response of Soil Respiration Largely Unaltered with Experimental Warming. Proceedings of the National Academy of Sciences of the United States of America, 113, 13797-13802. https://doi.org/10.1073/pnas.1605365113
[34]
Trivedi, P., Leach, J.E., Tringe, S.G., Sa, T. and Singh, B.K. (2020) Author Correction: Plant-Microbiome Interactions: From Community Assembly to Plant Health. Nature Reviews Microbiology, 19, 72. https://doi.org/10.1038/s41579-020-00490-8