Eurasian Journal of Soil Science
In Press, Corrected Proof
DOI: 10.18393/ejss.2027.16.1.001.024
(This number will become active after the manuscript has been selected for inclusion in an issue)
Stable URL: https://ejss.fesss.org/manuscript.php?id=4660
Copyright © 2026 The authors and Federation of Eurasian Soil Science Societies
Bacterial community structure and predicted functional pathways in sugarcane rhizosphere soils under legume intercropping
Abstract
Legume intercropping is a sustainable agronomic strategy that benefits sugarcane crops. This study characterized shifts in bacterial community structure, carbon-source oxidation, and predicted metabolic pathways in sugarcane rhizosphere soils under cowpea, mung bean and peanut intercropping. Rhizosphere samples were analyzed via 16S rRNA gene amplicon sequencing (V3-V4), substrate oxidation and functional prediction using the PICRUSt2 pipeline. Intercropping enhanced the metabolic activity and diversity measured by in vitro community-level physiological profiling, which showed an increase in carbohydrate and carboxylic acid consumption. Although taxonomic alpha and beta diversity showed no global differences, differential abundance analysis showed changes in specific biomarkers. Legume intercropping increased the abundance of Actinobacteriota, specifically enriching Acidimicrobiales and Actinomycetia, with genera such as Actinoplanes and Nocardioides identified as key indicators. Co-occurrence network analysis indicated a modular structure comprising specialized ecological niches, with keystone taxa including members of Actinobacteriota, Chloroflexota, and Nitrososphaeraceae. Predicted functional profiles were dominated by carbohydrate and amino acid metabolism, with intercropping enriching pathways for xenobiotic degradation and the biosynthesis of siderophores and arabinogalactan. Intercropping was also associated with predicted enrichment of genes related to glutathione and amino acid metabolism. In contrast, sugarcane monocultures showed predicted biomarkers potentially associated with nutritional stress. These results suggest that legume intercropping influences specific microbial groups and predicted metabolic pathways related to amino acid degradation and biosynthesis, indicating potential benefits for microbial activity and nutrient cycling.
Keywords
Actinobacteriota, Crop diversification, Green manure, PICRUSt2, Saccharum officinarum, Sustainable agriculture.
References
<p>Asocaña, 2024. Colombian sugar balance ASOCAÑA 2000–2023. Sugarcane Association of Valle, Colombia. Asociación de Cultivadores de Caña de Azúcar de Colombia. Available at [Access date: 24.07.2024]: <a href="https://www.asocana.org/modules/documentos/5528.aspx">https://www.asocana.org/modules/documentos/5528.aspx</a></p>
<p>Bao, Y., Chen, R., Wu, M., Li, Z., Lin, X., Dolfing, J., Guo, Z., Feng, Y., 2021. Important ecophysiological roles of non-dominant Actinobacteria in plant residue decomposition, especially in less fertile soils. <em>Microbiome</em> 9: 84. <a href="https://doi.org/10.1186/s40168-021-01032-x">https://doi.org/10.1186/s40168-021-01032-x</a></p>
<p>Bolyen, E., Rideout, J.R., Dillon, M.R., Bokulich, N.A., Abnet, C.C., Al-Ghalith, G.A., Alexander, H., Alm, E.J., Arumugam, M., Asnicar, F., et al., 2019. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. <em>Nature Biotechnology</em> 37: 852–857. <a href="https://doi.org/10.1038/s41587-019-0209-9">https://doi.org/10.1038/s41587-019-0209-9</a></p>
<p>Brackin, R., Näsholm, T., Robinson, N., Guillou, S., Vinall, K., Lakshmanan, P., Schmidt, S., Inselsbacher, E., 2015. Nitrogen fluxes at the root-soil interface show a mismatch of nitrogen fertilizer supply and sugarcane root uptake capacity. <em>Scientific Reports</em> 5(1): 15727. <a href="https://doi.org/10.1038/srep15727">https://doi.org/10.1038/srep15727</a></p>
<p>Chen, L., Ming, C., Zhao, P., Zhang, P., Yu, W., Long, G., 2025. Intercropping enhances soil multifunctionality by restructuring microbial community and biogeochemical cycles. <em>Science of the Total Environment</em> 1003: 180682. <a href="https://doi.org/10.1016/j.scitotenv.2025.180682">https://doi.org/10.1016/j.scitotenv.2025.180682</a></p>
<p>Dang, P., Lu, C., Huang, T., Zhang, M., Yang, N., Han, X., et al., 2024. Enhancing intercropping sustainability: Manipulating soybean rhizosphere microbiome through cropping patterns. <em>Science of the Total Environment</em> 931: 172714. <a href="https://doi.org/10.1016/j.scitotenv.2024.172714">https://doi.org/10.1016/j.scitotenv.2024.172714</a></p>
<p>Delgadillo-Vargas, O., Garcia-Ruiz, R., Forero-Álvarez, J., 2016. Fertilising techniques and nutrient balances in the agriculture industrialization transition: the case of sugarcane in the Cauca river valley (Colombia), 1943–2010. <em>Agriculture, Ecosystems & Environment</em> 218: 150–162. <a href="https://doi.org/10.1016/j.agee.2015.11.003">https://doi.org/10.1016/j.agee.2015.11.003</a></p>
<p>Douglas, G.M., Maffei, V. J., Zaneveld, J.R., Yurgel, S.N., Brown, J.R., Taylor, C.M., Huttenhower, C., Langille, M.G.I., 2020. PICRUSt2 for prediction of metagenome functions. <em>Nature Biotechnology</em> 38(6): 685-688. <a href="https://doi.org/10.1038/s41587-020-0548-6">https://doi.org/10.1038/s41587-020-0548-6</a></p>
<p>Garland, J.L., 1996. Analytical approaches to the characterization of samples of microbial communities using patterns of potential C source utilization. <em>Soil Biology and Biochemistry</em> 28: 213–221. <a href="https://doi.org/10.1016/0038-0717(95)00112-3">https://doi.org/10.1016/0038-0717(95)00112-3</a></p>
<p>IBM Corp., 2023. IBM SPSS Statistics for Windows, Version 29.0.2.0. IBM Corp. Armonk, NY.</p>
<p>Jensen, E.S., Carlsson, G., Hauggaard-Nielsen, H., 2020. Intercropping of grain legumes and cereals improves the use of soil N resources and reduces the requirement for synthetic fertilizer N: A global-scale analysis. <em>Agronomy for Sustainable Development</em> 40: 5. <a href="https://doi.org/10.1007/s13593-020-0607-x">https://doi.org/10.1007/s13593-020-0607-x</a></p>
<p>Kebede, E., 2021. Contribution, utilization, and improvement of legumes-driven biological nitrogen fixation in agricultural systems. <em>Frontiers in Sustainable Food Systems</em> 5: 767998. <a href="https://doi.org/10.3389/fsufs.2021.767998">https://doi.org/10.3389/fsufs.2021.767998</a></p>
<p>Kumar, A., Verma, T.P., Sachan, R., 2025. Enhancing sugarcane productivity and sustainability through pulse intercropping: A review. <em>Agrica</em> 14(1): 8–15. <a href="https://doi.org/10.5958/2394-448X.2025.00002.4">https://doi.org/10.5958/2394-448X.2025.00002.4</a></p>
<p>Lan, Y., Zhang, H., He, Y., Jiang, C., Yang, M., Ye, S., 2023. Legume-bacteria-soil interaction networks linked to improved plant productivity and soil fertility in intercropping systems. <em>Industrial Crops and Products</em> 197: 116504. <a href="https://doi.org/10.1016/j.indcrop.2023.116504">https://doi.org/10.1016/j.indcrop.2023.116504</a></p>
<p>Lian, T., Mu, Y., Jin, J., Q., Cheng, Y., Cai, Z., Nian, H., 2019. Impact of intercropping on the coupling between soil microbial community structure, activity, and nutrient-use efficiencies. <em>PeerJ</em> 7: e6412. <a href="https://doi.org/10.7717/peerj.6412">https://doi.org/10.7717/peerj.6412</a></p>
<p>Liu, Y., Ma, W., He, H., Wang, Z., Cao, Y., 2021. Effects of sugarcane and soybean intercropping on the nitrogen-fixing bacterial community in the rhizosphere. <em>Frontiers in Microbiology</em> 12: 713349. <a href="https://doi.org/10.3389/fmicb.2021.713349">https://doi.org/10.3389/fmicb.2021.713349</a></p>
<p>Ma, H.Y., Surigaoge, S., Xu, Y., Li, Y.C., Christie, P., Zhang, W.P., Li, L., 2024. Responses of soil microbial community diversity and co-occurrence networks to interspecific interactions in soybean/maize and peanut/maize intercropping systems. <em>Applied Soil Ecology</em> 203: 105613. <a href="https://doi.org/10.1016/j.apsoil.2024.105613">https://doi.org/10.1016/j.apsoil.2024.105613</a></p>
<p>Malviya, M.K., Solanki, M.K., Li, C.N., Wang, Z., Zeng, Y., Verma, K.K., et al., 2021. Sugarcane-legume intercropping can enrich the soil microbiome and plant growth. <em>Frontiers in Sustainable Food Systems</em> 5: 606595. <a href="https://doi.org/10.3389/fsufs.2021.606595">https://doi.org/10.3389/fsufs.2021.606595</a></p>
<p>McDonald, D., Jiang, Y., Balaban, M., Cantrell, K., Zhu, Q., Gonzalez, A., Morton, J.T., Nicolaou, G., Parks, D.H., Karst, S., Albertsen, M., Hugenholtz, P., DeSantis, T., Song, S.J., Bartko, A., Havulinna, A.S., Jousilahti, P., Cheng, S., Inouye, M., Niiranen, T., Jain, M., Salomaa, V., Lahti, L., Mirarab, S., Knight, R., 2022. Greengenes2 enables a shared data universe for microbiome studies. <em>BioRxiv</em> 2022-12. <a href="https://doi.org/10.1101/2022.12.19.520774">https://doi.org/10.1101/2022.12.19.520774</a></p>
<p>Mora-Villalobos, C.A., Rendón Acevedo, J., 2024. Analysis of the concentration and specialization of the sugarcane production (Saccharum officinarum L.) in Colombian municipalities between 2007 and 2021. <em>Research on World Agricultural Economy </em>5(3): 126–143. <a href="https://doi.org/10.36956/rwae.v5i3.1126">https://doi.org/10.36956/rwae.v5i3.1126</a></p>
<p>Pang, Z., Dong, F., Liu, Q., Lin, W., Hu, C., Yuan, Z., 2021. Soil metagenomics reveals effects of continuous sugarcane cropping on the structure and functional pathway of rhizospheric microbial community. <em>Frontiers in Microbiology</em> 12: 627569. <a href="https://doi.org/10.3389/fmicb.2021.627569">https://doi.org/10.3389/fmicb.2021.627569</a></p>
<p>Pang, Z., Fallah, N., Weng, P., Zhou, Y., Tang, X., Tayyab, M., Liu, Y., Liu, Q., Xiao, Y., Hu, C., Kan, Y., Lin, W., Yuan, Z., 2022. Sugarcane–peanut intercropping system enhances bacteria abundance, diversity, and sugarcane parameters in rhizospheric and bulk soils. <em>Frontiers in Microbiology </em>12: 815129. <a href="https://doi.org/10.3389/fmicb.2021.815129">https://doi.org/10.3389/fmicb.2021.815129</a></p>
<p>Rahlwes, K.C., Sparks, I.L., Morita, Y.S., 2019. Cell walls and membranes of Actinobacteria. In: Bacterial Cell Walls and Membranes. Kuhn, A. (Ed.). Springer, Cham. pp. 317–369. <a href="https://doi.org/10.1007/978-3-030-18768-2_13">https://doi.org/10.1007/978-3-030-18768-2_13</a></p>
<p>R Core Team, 2024. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available at [Access date: 04.05.2026]: <a href="https://www.R-project.org">https://www.R-project.org</a></p>
<p>Savario, C.F., Hoy, J.W., 2011. Microbial communities in sugarcane field soils with and without a sugarcane cropping history. <em>Plant and Soil</em> 341: 63–73. <a href="https://doi.org/10.1007/s11104-010-0622-9">https://doi.org/10.1007/s11104-010-0622-9</a></p>
<p>Shukla, S.K., Sharma, L., Jaiswal, V.P., Pathak, A.D., 2022. Interaction of plant growth-promoting rhizobacteria with sugarcane plants for alleviating abiotic stresses and improving crop yields. In: Agro-industrial Perspectives on Sugarcane Production under Environmental Stress. Verma, K.K., Song, X.P., Rajput, V.D., Solomon, S., Li, Y.R., Rao, G.P. (Eds.). Springer, Singapore. pp. 123–137. <a href="https://doi.org/10.1007/978-981-19-3955-6_7">https://doi.org/10.1007/978-981-19-3955-6_7</a></p>
<p>Solanki, M.K., Wang, F.Y., Li, C.N., Wang, Z., Lan, T.J., Singh, R.K., Singh, P., Yang, L.T., Li, Y.R., 2020. Impact of sugarcane–legume intercropping on diazotrophic microbiome. <em>Sugar Tech</em> 22(1): 52–64. <a href="https://doi.org/10.1007/s12355-019-00755-4">https://doi.org/10.1007/s12355-019-00755-4</a></p>
<p>Solanki, M.K., Wang, Z., Wang, F.Y., Li, C.N., Lan, T.J., Singh, R.K., Li, Y.R., 2016. Intercropping in sugarcane cultivation influenced the soil properties and enhanced the diversity of vital diazotrophic bacteria. <em>Sugar Tech</em> 19(2): 136–147. <a href="https://doi.org/10.1007/s12355-016-0445-y">https://doi.org/10.1007/s12355-016-0445-y</a></p>
<p>Tang, X., Zhang, Y., Jiang, J., Meng, X., Huang, Z., Wu, H., He, L., Xiong, F., Liu, J., Zhong, R., Han, Z., Tang, R., 2021. Sugarcane/peanut intercropping system improves physicochemical properties by changing N and P cycling and organic matter turnover in root zone soil. <em>PeerJ</em> 9: e10880. <a href="https://doi.org/10.7717/peerj.10880">https://doi.org/10.7717/peerj.10880</a></p>
<p>Tayyab, M., Islam, W., Arafat, Y., Pang, Z., Zhang, C., Lin, Y., Waqas, M., Lin, S., Lin, W., Zhang, H., 2018. Effect of sugarcane straw and goat manure on soil nutrient transformation and bacterial communities. <em>Sustainability</em> 10: 2361. <a href="https://doi.org/10.3390/su10072361">https://doi.org/10.3390/su10072361</a></p>
<p>Tayyab, M., Yang, Z., Zhang, C., Islam, W., Lin, W., Zhang, H., 2021. Sugarcane monoculture drives microbial community composition, activity and abundance of agricultural-related microorganisms. <em>Environmental Science and Pollution Research</em> 28: 48080–48096. <a href="https://doi.org/10.1007/s11356-021-14033-y">https://doi.org/10.1007/s11356-021-14033-y</a></p>
<p>Vives-Peris, V., De Ollas, C., Gómez-Cadenas, A., Pérez-Clemente, R.M., 2020. Root exudates: from plant to rhizosphere and beyond. <em>Plant Cell Reports</em> 39: 3–17. <a href="https://doi.org/10.1007/s00299-019-02447-5">https://doi.org/10.1007/s00299-019-02447-5</a></p>
<p>Wang, B., Liu, X., Qi, Y., Chen, Z., Zhu, Y., Wang, Y., et al., 2024. Sugarcane rhizosphere microbiota: exploring diversity across varied topographies and growth environments. <em>Plant and Soil</em> 505(1): 479–492. <a href="https://doi.org/10.1007/s11104-024-06688-6">https://doi.org/10.1007/s11104-024-06688-6</a></p>
<p>Wang, Z., Solanki, M.K., Yu, Z.X., Anas, M., Dong, D.F., Xing, Y.X., Malviya, M.K., Pang, F., Li, Y.R., 2021. Genome characteristics reveal the biocontrol potential of Actinobacteria isolated from sugarcane rhizosphere. <em>Frontiers in Microbiology</em> 12: 797889. <a href="https://doi.org/10.3389/fmicb.2021.797889">https://doi.org/10.3389/fmicb.2021.797889</a></p>
<p>Xu, Q., Xiong, K., Chi, Y., Song, S., 2021. Effects of crop and grass intercropping on the soil environment in the karst area. <em>Sustainability</em> 13(10): 5484. <a href="https://doi.org/10.3390/su13105484">https://doi.org/10.3390/su13105484</a></p>
<p>Yang, S., Xiao, J., Huang, Z., Qin, R., He, W., Liu, L., Liu, H., Li, A., Tan, H., 2021. Comparison of soil biological properties and bacterial diversity in sugarcane, soybean, mung bean and peanut intercropping systems. <em>Journal of Agricultural Science </em>13(8): 54. <a href="https://doi.org/10.5539/jas.v13n8p54">https://doi.org/10.5539/jas.v13n8p54</a></p>
<p>Yu, L., Luo, S., Gou, Y., Xu, X., Wang, J., 2021. Structure of rhizospheric microbial community and N cycling functional gene shifts with reduced N input in sugarcane-soybean intercropping in South China. <em>Agriculture, Ecosystems & Environment</em> 315: 107413. <a href="https://doi.org/10.1016/j.agee.2021.107413">https://doi.org/10.1016/j.agee.2021.107413</a></p>
<p>Yuan, Z., Liu, Q., Pang, Z., Fallah, N., Liu, Y., Hu, C., Lin, W., 2022. Sugarcane rhizosphere bacteria community migration correlates with growth stages and soil nutrient. <em>International Journal of Molecular Sciences</em> 23(18): 10303. <a href="https://doi.org/10.3390/ijms231810303">https://doi.org/10.3390/ijms231810303</a></p>
<p>Zhou, Q., Chen, J., Xing, Y., Xie, X., Wang, L., 2019. Influence of intercropping Chinese milk vetch on the soil microbial community in rhizosphere of rape. <em>Plant and Soil</em> 440: 85–96. <a href="https://doi.org/10.1007/s11104-019-04040-x">https://doi.org/10.1007/s11104-019-04040-x</a></p>
Abstract
Legume intercropping is a sustainable agronomic strategy that benefits sugarcane crops. This study characterized shifts in bacterial community structure, carbon-source oxidation, and predicted metabolic pathways in sugarcane rhizosphere soils under cowpea, mung bean and peanut intercropping. Rhizosphere samples were analyzed via 16S rRNA gene amplicon sequencing (V3-V4), substrate oxidation and functional prediction using the PICRUSt2 pipeline. Intercropping enhanced the metabolic activity and diversity measured by in vitro community-level physiological profiling, which showed an increase in carbohydrate and carboxylic acid consumption. Although taxonomic alpha and beta diversity showed no global differences, differential abundance analysis showed changes in specific biomarkers. Legume intercropping increased the abundance of Actinobacteriota, specifically enriching Acidimicrobiales and Actinomycetia, with genera such as Actinoplanes and Nocardioides identified as key indicators. Co-occurrence network analysis indicated a modular structure comprising specialized ecological niches, with keystone taxa including members of Actinobacteriota, Chloroflexota, and Nitrososphaeraceae. Predicted functional profiles were dominated by carbohydrate and amino acid metabolism, with intercropping enriching pathways for xenobiotic degradation and the biosynthesis of siderophores and arabinogalactan. Intercropping was also associated with predicted enrichment of genes related to glutathione and amino acid metabolism. In contrast, sugarcane monocultures showed predicted biomarkers potentially associated with nutritional stress. These results suggest that legume intercropping influences specific microbial groups and predicted metabolic pathways related to amino acid degradation and biosynthesis, indicating potential benefits for microbial activity and nutrient cycling.
Keywords: Actinobacteriota, Crop diversification, Green manure, PICRUSt2, Saccharum officinarum, Sustainable agriculture.
Author contributions: Julian Esteban Másmela-Mendoza: Conceptualization, Methodology, Investigation, Visualization, Software, Writing—original draft, Writing—review & editing. Julian Fernando Mateus-Rodríguez: Funding acquisition, Project administration, Resources, Conceptualization, Methodology, Supervision Writing—review & editing. All authors read and approved the final manuscript.
Funding: This research received no external funding.
Data availability statement : Sequence libraries have been deposited in the National Center for Biotechnology Information (NCBI) under BioProject accession number PRJNA1249958. The data supporting the findings of this study are available from the corresponding author upon reasonable request.
Declaration of competing interest: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Ethics approval: Ethics approval was not required for this study.
Acknowledgements: The authors express their gratitude to Cenicaña’s scientific, technical, laboratory, and administrative teams. For this project was provided by the Colombian Sugarcane Research Center, with additional support from sugar mills located in the department of Valle del Cauca, Colombia. The results reported herein are derived from the Cenicaña project “Integrated weed management in sugarcane cultivation” [budget code CP 020813].
Use of artificial intelligence: No artificial intelligence tool was used to generate, alter or analyse the data, results or figures reported in this article. Google Gemini was used for English translation and language editing to improve readability; the authors reviewed and approved all suggestions and take full responsibility for the content.
References
Asocaña, 2024. Colombian sugar balance ASOCAÑA 2000–2023. Sugarcane Association of Valle, Colombia. Asociación de Cultivadores de Caña de Azúcar de Colombia. Available at [Access date: 24.07.2024]: https://www.asocana.org/modules/documentos/5528.aspx
Bao, Y., Chen, R., Wu, M., Li, Z., Lin, X., Dolfing, J., Guo, Z., Feng, Y., 2021. Important ecophysiological roles of non-dominant Actinobacteria in plant residue decomposition, especially in less fertile soils. Microbiome 9: 84. https://doi.org/10.1186/s40168-021-01032-x
Bolyen, E., Rideout, J.R., Dillon, M.R., Bokulich, N.A., Abnet, C.C., Al-Ghalith, G.A., Alexander, H., Alm, E.J., Arumugam, M., Asnicar, F., et al., 2019. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nature Biotechnology 37: 852–857. https://doi.org/10.1038/s41587-019-0209-9
Brackin, R., Näsholm, T., Robinson, N., Guillou, S., Vinall, K., Lakshmanan, P., Schmidt, S., Inselsbacher, E., 2015. Nitrogen fluxes at the root-soil interface show a mismatch of nitrogen fertilizer supply and sugarcane root uptake capacity. Scientific Reports 5(1): 15727. https://doi.org/10.1038/srep15727
Chen, L., Ming, C., Zhao, P., Zhang, P., Yu, W., Long, G., 2025. Intercropping enhances soil multifunctionality by restructuring microbial community and biogeochemical cycles. Science of the Total Environment 1003: 180682. https://doi.org/10.1016/j.scitotenv.2025.180682
Dang, P., Lu, C., Huang, T., Zhang, M., Yang, N., Han, X., et al., 2024. Enhancing intercropping sustainability: Manipulating soybean rhizosphere microbiome through cropping patterns. Science of the Total Environment 931: 172714. https://doi.org/10.1016/j.scitotenv.2024.172714
Delgadillo-Vargas, O., Garcia-Ruiz, R., Forero-Álvarez, J., 2016. Fertilising techniques and nutrient balances in the agriculture industrialization transition: the case of sugarcane in the Cauca river valley (Colombia), 1943–2010. Agriculture, Ecosystems & Environment 218: 150–162. https://doi.org/10.1016/j.agee.2015.11.003
Douglas, G.M., Maffei, V. J., Zaneveld, J.R., Yurgel, S.N., Brown, J.R., Taylor, C.M., Huttenhower, C., Langille, M.G.I., 2020. PICRUSt2 for prediction of metagenome functions. Nature Biotechnology 38(6): 685-688. https://doi.org/10.1038/s41587-020-0548-6
Garland, J.L., 1996. Analytical approaches to the characterization of samples of microbial communities using patterns of potential C source utilization. Soil Biology and Biochemistry 28: 213–221. https://doi.org/10.1016/0038-0717(95)00112-3
IBM Corp., 2023. IBM SPSS Statistics for Windows, Version 29.0.2.0. IBM Corp. Armonk, NY.
Jensen, E.S., Carlsson, G., Hauggaard-Nielsen, H., 2020. Intercropping of grain legumes and cereals improves the use of soil N resources and reduces the requirement for synthetic fertilizer N: A global-scale analysis. Agronomy for Sustainable Development 40: 5. https://doi.org/10.1007/s13593-020-0607-x
Kebede, E., 2021. Contribution, utilization, and improvement of legumes-driven biological nitrogen fixation in agricultural systems. Frontiers in Sustainable Food Systems 5: 767998. https://doi.org/10.3389/fsufs.2021.767998
Kumar, A., Verma, T.P., Sachan, R., 2025. Enhancing sugarcane productivity and sustainability through pulse intercropping: A review. Agrica 14(1): 8–15. https://doi.org/10.5958/2394-448X.2025.00002.4
Lan, Y., Zhang, H., He, Y., Jiang, C., Yang, M., Ye, S., 2023. Legume-bacteria-soil interaction networks linked to improved plant productivity and soil fertility in intercropping systems. Industrial Crops and Products 197: 116504. https://doi.org/10.1016/j.indcrop.2023.116504
Lian, T., Mu, Y., Jin, J., Q., Cheng, Y., Cai, Z., Nian, H., 2019. Impact of intercropping on the coupling between soil microbial community structure, activity, and nutrient-use efficiencies. PeerJ 7: e6412. https://doi.org/10.7717/peerj.6412
Liu, Y., Ma, W., He, H., Wang, Z., Cao, Y., 2021. Effects of sugarcane and soybean intercropping on the nitrogen-fixing bacterial community in the rhizosphere. Frontiers in Microbiology 12: 713349. https://doi.org/10.3389/fmicb.2021.713349
Ma, H.Y., Surigaoge, S., Xu, Y., Li, Y.C., Christie, P., Zhang, W.P., Li, L., 2024. Responses of soil microbial community diversity and co-occurrence networks to interspecific interactions in soybean/maize and peanut/maize intercropping systems. Applied Soil Ecology 203: 105613. https://doi.org/10.1016/j.apsoil.2024.105613
Malviya, M.K., Solanki, M.K., Li, C.N., Wang, Z., Zeng, Y., Verma, K.K., et al., 2021. Sugarcane-legume intercropping can enrich the soil microbiome and plant growth. Frontiers in Sustainable Food Systems 5: 606595. https://doi.org/10.3389/fsufs.2021.606595
McDonald, D., Jiang, Y., Balaban, M., Cantrell, K., Zhu, Q., Gonzalez, A., Morton, J.T., Nicolaou, G., Parks, D.H., Karst, S., Albertsen, M., Hugenholtz, P., DeSantis, T., Song, S.J., Bartko, A., Havulinna, A.S., Jousilahti, P., Cheng, S., Inouye, M., Niiranen, T., Jain, M., Salomaa, V., Lahti, L., Mirarab, S., Knight, R., 2022. Greengenes2 enables a shared data universe for microbiome studies. BioRxiv 2022-12. https://doi.org/10.1101/2022.12.19.520774
Mora-Villalobos, C.A., Rendón Acevedo, J., 2024. Analysis of the concentration and specialization of the sugarcane production (Saccharum officinarum L.) in Colombian municipalities between 2007 and 2021. Research on World Agricultural Economy 5(3): 126–143. https://doi.org/10.36956/rwae.v5i3.1126
Pang, Z., Dong, F., Liu, Q., Lin, W., Hu, C., Yuan, Z., 2021. Soil metagenomics reveals effects of continuous sugarcane cropping on the structure and functional pathway of rhizospheric microbial community. Frontiers in Microbiology 12: 627569. https://doi.org/10.3389/fmicb.2021.627569
Pang, Z., Fallah, N., Weng, P., Zhou, Y., Tang, X., Tayyab, M., Liu, Y., Liu, Q., Xiao, Y., Hu, C., Kan, Y., Lin, W., Yuan, Z., 2022. Sugarcane–peanut intercropping system enhances bacteria abundance, diversity, and sugarcane parameters in rhizospheric and bulk soils. Frontiers in Microbiology 12: 815129. https://doi.org/10.3389/fmicb.2021.815129
Rahlwes, K.C., Sparks, I.L., Morita, Y.S., 2019. Cell walls and membranes of Actinobacteria. In: Bacterial Cell Walls and Membranes. Kuhn, A. (Ed.). Springer, Cham. pp. 317–369. https://doi.org/10.1007/978-3-030-18768-2_13
R Core Team, 2024. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available at [Access date: 04.05.2026]: https://www.R-project.org
Savario, C.F., Hoy, J.W., 2011. Microbial communities in sugarcane field soils with and without a sugarcane cropping history. Plant and Soil 341: 63–73. https://doi.org/10.1007/s11104-010-0622-9
Shukla, S.K., Sharma, L., Jaiswal, V.P., Pathak, A.D., 2022. Interaction of plant growth-promoting rhizobacteria with sugarcane plants for alleviating abiotic stresses and improving crop yields. In: Agro-industrial Perspectives on Sugarcane Production under Environmental Stress. Verma, K.K., Song, X.P., Rajput, V.D., Solomon, S., Li, Y.R., Rao, G.P. (Eds.). Springer, Singapore. pp. 123–137. https://doi.org/10.1007/978-981-19-3955-6_7
Solanki, M.K., Wang, F.Y., Li, C.N., Wang, Z., Lan, T.J., Singh, R.K., Singh, P., Yang, L.T., Li, Y.R., 2020. Impact of sugarcane–legume intercropping on diazotrophic microbiome. Sugar Tech 22(1): 52–64. https://doi.org/10.1007/s12355-019-00755-4
Solanki, M.K., Wang, Z., Wang, F.Y., Li, C.N., Lan, T.J., Singh, R.K., Li, Y.R., 2016. Intercropping in sugarcane cultivation influenced the soil properties and enhanced the diversity of vital diazotrophic bacteria. Sugar Tech 19(2): 136–147. https://doi.org/10.1007/s12355-016-0445-y
Tang, X., Zhang, Y., Jiang, J., Meng, X., Huang, Z., Wu, H., He, L., Xiong, F., Liu, J., Zhong, R., Han, Z., Tang, R., 2021. Sugarcane/peanut intercropping system improves physicochemical properties by changing N and P cycling and organic matter turnover in root zone soil. PeerJ 9: e10880. https://doi.org/10.7717/peerj.10880
Tayyab, M., Islam, W., Arafat, Y., Pang, Z., Zhang, C., Lin, Y., Waqas, M., Lin, S., Lin, W., Zhang, H., 2018. Effect of sugarcane straw and goat manure on soil nutrient transformation and bacterial communities. Sustainability 10: 2361. https://doi.org/10.3390/su10072361
Tayyab, M., Yang, Z., Zhang, C., Islam, W., Lin, W., Zhang, H., 2021. Sugarcane monoculture drives microbial community composition, activity and abundance of agricultural-related microorganisms. Environmental Science and Pollution Research 28: 48080–48096. https://doi.org/10.1007/s11356-021-14033-y
Vives-Peris, V., De Ollas, C., Gómez-Cadenas, A., Pérez-Clemente, R.M., 2020. Root exudates: from plant to rhizosphere and beyond. Plant Cell Reports 39: 3–17. https://doi.org/10.1007/s00299-019-02447-5
Wang, B., Liu, X., Qi, Y., Chen, Z., Zhu, Y., Wang, Y., et al., 2024. Sugarcane rhizosphere microbiota: exploring diversity across varied topographies and growth environments. Plant and Soil 505(1): 479–492. https://doi.org/10.1007/s11104-024-06688-6
Wang, Z., Solanki, M.K., Yu, Z.X., Anas, M., Dong, D.F., Xing, Y.X., Malviya, M.K., Pang, F., Li, Y.R., 2021. Genome characteristics reveal the biocontrol potential of Actinobacteria isolated from sugarcane rhizosphere. Frontiers in Microbiology 12: 797889. https://doi.org/10.3389/fmicb.2021.797889
Xu, Q., Xiong, K., Chi, Y., Song, S., 2021. Effects of crop and grass intercropping on the soil environment in the karst area. Sustainability 13(10): 5484. https://doi.org/10.3390/su13105484
Yang, S., Xiao, J., Huang, Z., Qin, R., He, W., Liu, L., Liu, H., Li, A., Tan, H., 2021. Comparison of soil biological properties and bacterial diversity in sugarcane, soybean, mung bean and peanut intercropping systems. Journal of Agricultural Science 13(8): 54. https://doi.org/10.5539/jas.v13n8p54
Yu, L., Luo, S., Gou, Y., Xu, X., Wang, J., 2021. Structure of rhizospheric microbial community and N cycling functional gene shifts with reduced N input in sugarcane-soybean intercropping in South China. Agriculture, Ecosystems & Environment 315: 107413. https://doi.org/10.1016/j.agee.2021.107413
Yuan, Z., Liu, Q., Pang, Z., Fallah, N., Liu, Y., Hu, C., Lin, W., 2022. Sugarcane rhizosphere bacteria community migration correlates with growth stages and soil nutrient. International Journal of Molecular Sciences 23(18): 10303. https://doi.org/10.3390/ijms231810303
Zhou, Q., Chen, J., Xing, Y., Xie, X., Wang, L., 2019. Influence of intercropping Chinese milk vetch on the soil microbial community in rhizosphere of rape. Plant and Soil 440: 85–96. https://doi.org/10.1007/s11104-019-04040-x
How to cite
Másmela-Mendoza, J., Mateus-Rodríguez, J., 2026. Bacterial community structure and predicted functional pathways in sugarcane rhizosphere soils under legume intercropping. Eurasian J. Soil Sci. DOI : 10.18393/ejss.2027.16.1.001.024
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CLASSICAL
Másmela-Mendoza, J., Mateus-Rodríguez, J., 2026. Bacterial community structure and predicted functional pathways in sugarcane rhizosphere soils under legume intercropping. Eurasian J. Soil Sci. DOI : 10.18393/ejss.2027.16.1.001.024
APA
Másmela-Mendoza, J., & Mateus-Rodríguez, J. (2026). Bacterial community structure and predicted functional pathways in sugarcane rhizosphere soils under legume intercropping Eurasian Journal of Soil Science, DOI : 10.18393/ejss.2027.16.1.001.024
MLA
Másmela-Mendoza, J., and Mateus-Rodríguez, J. "Bacterial community structure and predicted functional pathways in sugarcane rhizosphere soils under legume intercropping" Eurasian Journal of Soil Science, (2026) DOI : 10.18393/ejss.2027.16.1.001.024
TURABIAN
Másmela-Mendoza, J., and Mateus-Rodríguez, J. "Bacterial community structure and predicted functional pathways in sugarcane rhizosphere soils under legume intercropping" Eurasian Journal of Soil Science, DOI : 10.18393/ejss.2027.16.1.001.024
IEEE
J. Másmela-Mendoza., J. Mateus-Rodríguez. "Bacterial community structure and predicted functional pathways in sugarcane rhizosphere soils under legume intercropping" Eurasian J. Soil Sci., vol. , no. , pp. DOI : 10.18393/ejss.2027.16.1.001.024
ISO690
MÁSMELA-MENDOZA, Julian Esteban ; MATEUS-RODRÍGUEZ, Julian Fernando Bacterial community structure and predicted functional pathways in sugarcane rhizosphere soils under legume intercropping. Eurasian Journal of Soil Science,.DOI : 10.18393/ejss.2027.16.1.001.024
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Publication Information
- Article first published online: 05 Ekim 2026
- Manuscript Accepted: 19 Eylül 2026
- Manuscript Received: 04 Mayıs 2026
- DOI: 10.18393/ejss.2027.16.1.001.024
- Stable URL: https://ejss.fesss.org/manuscript.php?id=4660
