- 1Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Jatinangor, West Java, Indonesia
- 2Department of Global Development, Cornell University, New York, NY, United States
- 3International Genome Center, Jiangsu University, Zhenjiang, China
- 4Department of Biotechnology and Genetics, School of Sciences, JAIN (Deemed-to-be University), Bengaluru, Karnataka, India
Editorial on the Research Topic
Advances in beneficial and pathogenic plant-microbe interactions in cereal crops
Introduction
Plant-microbe interactions play a pivotal role in shaping the health, productivity, and resilience of cereal crops such as wheat and rice (Akbari et al., 2024). These complex relationships are central to agricultural ecosystem functioning and hold great potential for sustainable crop production (Harman et al., 2021). This Research Topic highlights recent advances in our understanding of both beneficial and pathogenic plant-microbe interactions, focusing on cereal crops including wheat, maize, rice, barley, oats, rye, and sorghum.
Developing sustainable microbial inoculants for cereal crops
Arbuscular mycorrhizal fungi (AMF) have long been recognized for their symbiotic associations with plant roots (Ibáñez et al., 2025). Boyno et al. provide a comprehensive review of the roles of AMF in improving nutrient uptake, promoting stress resilience, and activating systemic resistance in host plants. They synthesize molecular and field data showing AMF's potential to enhance both abiotic and biotic stress tolerance. However, their effectiveness is still limited in field settings due to factors such as host specificity, soil characteristics, and environmental variability.
Alattas et al. focus on Pseudomonas spp., a diverse bacterial genus known for its biocontrol capabilities. The review details mechanisms by which Pseudomonas suppresses plant pathogens, including antimicrobial production, volatile compound emission, and immune response activation. Nonetheless, field application remains inconsistent due to environmental fluctuations and microbial competition in the rhizosphere.
Addressing abiotic stress, particularly drought, Niaz et al. explore a fungal consortium of Aspergillus oryzae and A. fumigatus adapted to drought conditions. Their study shows improved drought tolerance in maize through enhanced antioxidant activity, phytohormonal regulation, and upregulation of stress-responsive genes.
Phosphorus management is another critical issue. de Oliveira-Paiva et al. evaluate phosphate-solubilizing Bacillus strains (B. megaterium and B. subtilis) in multi-season field trials in Brazil. Results demonstrated significant improvements in phosphorus uptake and yield, leading to the registration of the first Bacillus-based maize inoculant in the country. Additionally, Huang et al. assess a low-temperature straw-degrading microbial consortium containing Pseudogymnoascus sp. in winter wheat fields. Their findings show enhanced soil fertility, wheat yield, and changes in microbial community structure, especially in sandy soils.
Multi-omics and machine learning to elucidate plant-microbe interactions
Omics technologies have become indispensable for decoding plant-microbe interactions (Doni et al., 2022). Ejaz et al. present a comparative genomics study using long-read sequencing to analyze Xanthomonas oryzae pv. oryzae isolates from Pakistani Basmati rice. The study finds high similarity with Indian and Thai strains, contributing to effector-based surveillance strategies in breeding programs.
Mekonen et al. analyze 25 Colletotrichum sublineola isolates from Ethiopian sorghum fields, revealing virulence variability and identifying resistant genotypes like IS_18760 and Bonsa. These insights are crucial for developing anthracnose-resistant varieties in East Africa. Yang et al. examine root and rhizosphere microbiomes in healthy and Rhizoctonia solani-infected potato plants across Chinese agroecological zones. Healthy plants showed more diverse, cooperative microbial networks with disease-suppressive potential.
Castano-Duque et al. integrate satellite imagery, weather, and soil data to predict aflatoxin outbreaks in Texas maize using neural network-based models. Their best model achieved 73% accuracy and identified high-risk zones, reinforcing the value of predictive frameworks that incorporate phenology and hydrology for site-specific risk mitigation.
Conclusion
This Research Topic offers diverse studies that deepen our understanding of plant- microbe interactions in cereal cropping systems. The featured contributions—from microbial inoculants to omics technologies and predictive modeling—underscore the importance of microbial approaches in fostering resilience, productivity, and sustainability in cereal agriculture.
Author contributions
FD: Funding acquisition, Writing – original draft, Writing – review & editing. JC: Writing – original draft, Writing – review & editing. KS: Writing – original draft, Writing – review & editing.
Acknowledgments
We sincerely thank all the authors who contributed to this Research Topic for their dedication and valuable work. We also appreciate the reviewers for their thoughtful feedback and constructive comments. Our thanks extend as well to the Frontiers Editorial Team for their continuous support, guidance, and collaboration throughout the process. The first author would like to acknowledge the funding received from Universitas Padjadjaran through Riset Keunggulan Keilmuan Unpad (RKKU) (Contract Number: 950/UN6.3.1/PT.00/2025), which made this editorial assignment possible.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declare that no Generative AI was used in the creation of this manuscript.
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
Akbari, S. I., Prismantoro, D., Permadi, N., Rossiana, N., Miranti, M., Mispan, M. S., et al. (2024). Bioprospecting the roles of Trichoderma in alleviating plants' drought tolerance: principles, mechanisms of action, and prospects. Microbiol. Res. 283:127665. doi: 10.1016/j.micres.2024.127665
Doni, F., Miranti, M., Mispan, M. S., Mohamed, Z., and Uphoff, N. (2022). Multi-omics approaches for deciphering the microbial modulation of plants' genetic potentials: what's known and what's next?. Rhizosphere 24:100613. doi: 10.1016/j.rhisph.2022.100613
Harman, G., Khadka, R., Doni, F., and Uphoff, N. (2021). Benefits to plant health and productivity from enhancing plant microbial symbionts. Front. Plant Sci. 11:610065. doi: 10.3389/fpls.2020.610065
Keywords: plant-microbe interactions, pathogenic interactions, symbiosis, plant diseases, omics technologies, cereal crops, sustainable crop production
Citation: Doni F, Chen J and Satyan KB (2025) Editorial: Advances in beneficial and pathogenic plant-microbe interactions in cereal crops. Front. Microbiol. 16:1663889. doi: 10.3389/fmicb.2025.1663889
Received: 11 July 2025; Accepted: 25 July 2025;
Published: 06 August 2025.
Edited and reviewed by: Jesús Navas-Castillo, IHSM La Mayora, CSIC, Spain
Copyright © 2025 Doni, Chen and Satyan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Febri Doni, ZmVicmlAdW5wYWQuYWMuaWQ=; ZmQyNjNAY29ybmVsbC5lZHU=; Jian Chen, amlhbmNoZW5AdWpzLmVkdS5jbg==; Kumudini Belur Satyan, a3VtdWRpbmkuc2F0eWFuQGphaW51bml2ZXJzaXR5LmFjLmlu