Journals / Black Sea Journal of Agriculture / 2026 / Cilt: 9 Sayı: 1

Rhizosphere Microbiome Manipulation for Weed Suppression

Emine Kaya Altop(ONDOKUZ MAYIS ÜNİVERSİTESİ)0000-0002-0987-9352
Sine Kaya(ONDOKUZ MAYIS ÜNİVERSİTESİ)0000-0002-4219-9148
Pages
132–142
Publication Date
2025-12-18
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

While the results demonstrate the great potential of the rhizosphere microbiome for weed control, issues such as scaling up, stability, regulatory compliance, and understanding of mechanisms still linger.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The rhizosphere microbiome refers to a complex and diverse community of microorganisms inhabiting the soil surrounding the roots of plants.
📊
Key Findings & Data:However, the performance of microorganisms is affected by different environmental factors like soil type, moisture content, temperature, crop rotation, and their combined effect with herbicides.
💡
Conclusion & Impact:While the results demonstrate the great potential of the rhizosphere microbiome for weed control, issues such as scaling up, stability, regulatory compliance, and understanding of mechanisms still linger.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Bioaugmentation · Omics · Sustainable agriculture

Abstract

The rhizosphere microbiome refers to a complex and diverse community of microorganisms inhabiting the soil surrounding the roots of plants. This community is the basis of the healthy life of plants, nutrient cycling, and ecological interactions. Recently, its role as a reservoir of natural and environment-friendly methods for weed control compared to chemical-based methods has been emphasized. This review intend to present the recent scientific findings on the use of the rhizosphere microbiome for controlling weeds. The different ways, i.e., the use of microbial inoculants, bioaugmentation, biostimulation, and the engineering of root exudates, are very efficient in weed reduction while still doing the crops' growth. The combination of omic technologies such as metagenomics, metatranscriptomics, metabolomics, and proteomics provides new understanding of microbiome functions and makes precise microbiome engineering possible for targeted weed suppression. However, the performance of microorganisms is affected by different environmental factors like soil type, moisture content, temperature, crop rotation, and their combined effect with herbicides. While the results demonstrate the great potential of the rhizosphere microbiome for weed control, issues such as scaling up, stability, regulatory compliance, and understanding of mechanisms still linger. Therefore, focus should be placed on synthetic microbial consortia, genome-edited strains, and the use of digital learning-based predictive models to identify site-specific microbiomes that can mitigate herbicide resistance. Microbial communities in the rhizosphere can be a very strong and possibly even an untapped source of weed control that will become hardly noticeable when they are the standard of ecologically sound, herbicide-free, and sustainable weed management systems.

Özet

The rhizosphere microbiome refers to a complex and diverse community of microorganisms inhabiting the soil surrounding the roots of plants. This community is the basis of the healthy life of plants, nutrient cycling, and ecological interactions. Recently, its role as a reservoir of natural and environment-friendly methods for weed control compared to chemical-based methods has been emphasized. This review intend to present the recent scientific findings on the use of the rhizosphere microbiome for controlling weeds. The different ways, i.e., the use of microbial inoculants, bioaugmentation, biostimulation, and the engineering of root exudates, are very efficient in weed reduction while still doing the crops' growth. The combination of omic technologies such as metagenomics, metatranscriptomics, metabolomics, and proteomics provides new understanding of microbiome functions and makes precise microbiome engineering possible for targeted weed suppression. However, the performance of microorganisms is affected by different environmental factors like soil type, moisture content, temperature, crop rotation, and their combined effect with herbicides. While the results demonstrate the great potential of the rhizosphere microbiome for weed control, issues such as scaling up, stability, regulatory compliance, and understanding of mechanisms still linger. Therefore, focus should be placed on synthetic microbial consortia, genome-edited strains, and the use of digital learning-based predictive models to identify site-specific microbiomes that can mitigate herbicide resistance. Microbial communities in the rhizosphere can be a very strong and possibly even an untapped source of weed control that will become hardly noticeable when they are the standard of ecologically sound, herbicide-free, and sustainable weed management systems.

🔖

Cite This Article

Altop, E. K., Kaya, S. (2025). Rhizosphere Microbiome Manipulation for Weed Suppression. Black Sea Journal of Agriculture, Cilt: 9 Sayı: 1, 132–142. https://doi.org/10.47115/bsagriculture.1805709

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (40)

  1. Bais, H. P., Weir, T. L., Perry, L. G., Gilroy, S., & Vivanco, J. M. (2006). The role of root exudates in rhizosphere interactions with plants and other organisms. Annual Review of Plant Biology, 57(1), 233-266. https://doi.org/10.1146/annurev.arplant.57.032905.105159
  2. Bashan, Y., de-Bashan, L. E., Prabhu, S. R., & Hernandez, J. P. (2014). Advances in plant growth-promoting bacterial inoculant technology: formulations and practical perspectives (1998–2013). Plant and Soil, 378(1), 1-33. https://doi.org/10.1007/s11104-013-1956-x
  3. Berendsen, R. L., Pieterse, C. M., & Bakker, P. A. (2012). The rhizosphere microbiome and plant health. Trends in Plant Science, 17(8), 478-486.
  4. Bulgarelli, D., Schlaeppi, K., Spaepen, S., Van Themaat, E. V. L., & Schulze-Lefert, P. (2013). Structure and functions of the bacterial microbiota of plants. Annual Review of Plant Biology, 64(1), 807-838. https://doi.org/10.1146/annurev-arplant-050312-120106
  5. Carvalhais, L. C., Dennis, P. G., Fan, B., Fedoseyenko, D., Kierul, K., Becker, A., von Wiren, N., & Borriss, R. (2013). Linking plant nutritional status to plant-microbe interactions. PLoS One, 8(7), e68555. https://doi.org/10.1371/journal.pone.0068555
  6. Charudattan, R. (2001). Biological control of weeds by means of plant pathogens: Significance for integrated weed management in modern agro-ecology. Biocontrol, 46(2), 229-260.
  7. Cook, R. J., Thomashow, L. S., Weller, D. M., Fujimoto, D., Mazzola, M., Bangera, G., & Kim, D. S. (1995). Molecular mechanisms of defense by rhizobacteria against root disease. Proceedings of the National Academy of Sciences, 92(10), 4197-4201. https://doi.org/10.1073/pnas.92.10.4197
  8. De Silva, S., Kariyawasam Hetti Gamage, L., & Thapa, V. R. (2025). Impact of drought on soil microbial communities. Microorganisms, 13(7), 1625. https://doi.org/10.3390/microorganisms13071625
  9. Délye, C., Jasieniuk, M., & Le Corre, V. (2013). Deciphering the evolution of herbicide resistance in weeds. Trends in Genetics, 29(11), 649-658.
  10. Fan, K., Weisenhorn, P., Gilbert, J. A., & Chu, H. (2018). Wheat rhizosphere harbors a less complex and more stable microbial co-occurrence pattern than bulk soil. Soil Biology and Biochemistry, 125, 251-260. https://doi.org/10.1016/j.soilbio.2018.07.022
  11. Glick, B. R. (2014). Bacteria with ACC deaminase can promote plant growth and help to feed the world. Microbiological Research, 169(1), 30-39. https://doi.org/10.1016/j.micres.2013.09.009
  12. Hartmann, M., Frey, B., Mayer, J., Mäder, P., & Widmer, F. (2015). Distinct soil microbial diversity under long-term organic and conventional farming. The ISME Journal, 9(5), 1177-1194. https://doi.org/10.1038/ismej.2014.210
  13. Heap, I. (2014). Global perspective of herbicide‐resistant weeds. Pest Management Science, 70(9), 1306-1315. https://doi.org/10.1002/ps.3696
  14. Kennedy, A. C., Johnson, B. N., & Stubbs, T. L. (2001). Host range of a deleterious rhizobacterium for biological control of downy brome. Weed Science, 49(6), 792-797.
  15. Köberl, M., White III, R. A., Erschen, S., El-Arabi, T. F., Jansson, J. K., & Berg, G. (2015). Draft genome sequence of Streptomyces sp. strain Wb2n-11, a desert isolate with broad-spectrum antagonism against soilborne phytopathogens. Genome Announcements, 3(4), 10-1128. https://doi.org/10.1128/genomea.00860-15
  16. Liang, Z., Liu, X., Xiao, J., & Liu, C. (2021). Review of conceptual and systematic progress of precision irrigation. International Journal of Agricultural and Biological Engineering, 14(4), 20-31. https://dx.doi.org/10.25165/j.ijabe.20211404.5463
  17. Lupwayi, N. Z., Rice, W. A., & Clayton, G. W. (1998). Soil microbial diversity and community structure under wheat as influenced by tillage and crop rotation. Soil Biology and Biochemistry, 30(13), 1733-1741. https://doi.org/10.1016/S0038-0717(98)00025-X
  18. Malusá, E., Sas-Paszt, L., & Ciesielska, J. J. T. S. W. J. (2012). Technologies for beneficial microorganisms inocula used as biofertilizers. The Scientific World Journal, 2012(1), 491206. https://doi.org/10.1100/2012/491206
  19. Mendes, R., Garbeva, P., & Raaijmakers, J. M. (2013). The rhizosphere microbiome: significance of plant beneficial, plant pathogenic, and human pathogenic microorganisms. FEMS Microbiology Reviews, 37(5), 634-663. https://doi.org/10.1111/1574-6976.12028
  20. Nguyen, N. H., Song, Z., Bates, S. T., Branco, S., Tedersoo, L., Menke, J., Schilling, J. S., & Kennedy, P. G. (2016). FUNGuild: an open annotation tool for parsing fungal community datasets by ecological guild. ungal Ecology, 20, 241-248. https://doi.org/10.1016/j.funeco.2015.06.006
  21. Nguyen, V. Q., Ranjan, A., Liu, S., Tang, X., Ling, Y. H., Wisniewski, J., Mizuguchi, G., Li, K. Y., Jou, V., Zheng, Q., Davis, L. D., Lionnet, T., & Wu, C. (2021). Spatiotemporal coordination of transcription preinitiation complex assembly in live cells. Molecular Cell, 81(17), 3560-3575.
  22. Niu, B., Paulson, J. N., Zheng, X., & Kolter, R. (2017). Simplified and representative bacterial community of maize roots. Proceedings of the National Academy of Sciences, 114(12), E2450-E2459. https://doi.org/10.1073/pnas.1616148114
  23. Pantigoso, H. A., Newberger, D., & Vivanco, J. M. (2022). The rhizosphere microbiome: Plant–microbial interactions for resource acquisition. Journal of Applied Microbiology, 133(5), 2864-2876.
  24. Patterson, A. G., Yevstigneyeva, M. S., & Fineran, P. C. (2017). Regulation of CRISPR–Cas adaptive immune systems. Current Opinion in Microbiology, 37, 1-7. https://doi.org/10.1016/j.mib.2017.02.004
  25. Penrose, D. M., & Glick, B. R. (2003). Methods for isolating and characterizing ACC deaminase‐containing plant growth‐promoting rhizobacteria. Physiologia Plantarum, 118(1), 10-15. https://doi.org/10.1034/j.1399-3054.2003.00086.x
  26. Philippot, L., Raaijmakers, J. M., Lemanceau, P., & Van Der Putten, W. H. (2013). Going back to the roots: the microbial ecology of the rhizosphere. Nature Reviews Microbiology, 11(11), 789-799. https://doi.org/10.1038/nrmicro3109
  27. Ramachandran, G., & Bikard, D. (2019). Editing the microbiome the CRISPR way. Philosophical Transactions of the Royal Society B, 374(1772), 20180103. https://doi.org/10.1098/rstb.2018.0103
  28. Rousk, J., Bååth, E., Brookes, P. C., Lauber, C. L., Lozupone, C., Caporaso, J. G., Knight, R., & Fierer, N. (2010). Soil bacterial and fungal communities across a pH gradient in an arable soil. The ISME Journal, 4(10), 1340-1351. https://doi.org/10.1038/ismej.2010.58
  29. Ryu, C. M., Farag, M. A., Hu, C. H., Reddy, M. S., Wei, H. X., Paré, P. W., & Kloepper, J. W. (2003). Bacterial volatiles promote growth in Arabidopsis. Proceedings of the National Academy of Sciences, 100(8), 4927-4932. https://doi.org/10.1073/pnas.0730845100
  30. Santoyo, G., Moreno-Hagelsieb, G., del Carmen Orozco-Mosqueda, M., & Glick, B. R. (2016). Plant growth-promoting bacterial endophytes. Microbiological Research, 183, 92-99. https://doi.org/10.1016/j.micres.2015.11.008
  31. Singh, B. K., Trivedi, P., Egidi, E., Macdonald, C. A., & Delgado-Baquerizo, M. (2020). Crop microbiome and sustainable agriculture. Nature Reviews Microbiology, 18(11), 601-602. https://doi.org/10.1038/s41579-020-00446-y
  32. Smith, S. E., & Read, D. J. 2008. Mycorrhizal symbiosis, 3rd ed. Academic Press.
  33. Spaepen, S., & Vanderleyden, J. (2011). Auxin and plant-microbe interactions. Cold Spring Harbor Perspectives in Biology, 3(4), a001438. https://doi.org/10.1101/cshperspect.a001438
  34. Sun, Z., Sun, C., Zhang, T., Liu, J., Wang, X., Feng, J.,. & Jin, K. (2024). Soil microbial community variation among different land use types in the agro-pastoral ecotone of northern China is likely to be caused by anthropogenic activities. Frontiers in Microbiology, 15, 1390286. https://doi.org/10.3389/fmicb.2024.1390286
  35. Trivedi, P., Leach, J. E., Tringe, S. G., Sa, T., & Singh, B. K. (2020). Plant–microbiome interactions: from community assembly to plant health. Nature Reviews Microbiology, 18(11), 607-621. https://doi.org/10.1038/s41579-020-00490-8
  36. Yadav, A. N. (2020). Plant microbiomes for sustainable agriculture: current research and future challenges. Plant Microbiomes for Sustainable Agriculture, 475-482.
  37. Yu, H., Wang, F., Shao, M., Huang, L., Xie, Y., Xu, Y., & Kong, L. (2021). Effects of rotations with legume on soil functional microbial communities involved in phosphorus transformation. Frontiers in Microbiology, 12, 661100. https://doi.org/10.3389/fmicb.2021.661100
  38. Zhalnina, K., Louie, K. B., Hao, Z., Mansoori, N., Da Rocha, U. N., Shi, S., Cho, H., Karaoz, U., Loqué, D., Bowen, B. P., Firestone, M. K., Northen, T. R. & Brodie, E. L. (2018). Dynamic root exudate chemistry and microbial substrate preferences drive patterns in rhizosphere microbial community assembly. Nature microbiology, 3(4), 470-480. https://doi.org/10.1038/s41564-018-0129-3
  39. Zhang, R., Vivanco, J. M., & Shen, Q. (2017). The unseen rhizosphere root–soil–microbe interactions for crop production. Current Opinion in Microbiology, 37, 8-14. https://doi.org/10.1016/j.mib.2017.03.008
  40. Sun, Z., Sun, C., Zhang, T., Liu, J., Wang, X., Feng, J.,. & Jin, K. (2024). Soil microbial community variation among different land use types in the agro-pastoral ecotone of northern China is likely to be caused by anthropogenic activities. Frontiers in Microbiology, 15, 1390286. https://doi.org/10.3389/fmicb.2024.1390286