Next Article in Journal
Weed Control and Selectivity of Four Herbicides Applied in Pre-Emergence on Two Sunflower Cultivars
Previous Article in Journal
Antioxidant Potential Profile of Portuguese Wheat (Bread and Durum) Germplasm
Previous Article in Special Issue
Comparative Transcriptomic Analysis Reveals Variable Responses to the Brown Planthopper Nilaparvata lugens in Different Rice Cultivars
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Editorial

Molecular Variability of Crop Pathogens

by
Carla S. Santos
* and
Marta Nunes da Silva
*
Centro de Biotecnologia e Química Fina—Laboratório Associado, Escola Superior de Biotecnologia, Universidade Católica Portuguesa, Rua Diogo Botelho 1327, 4196-005 Porto, Portugal
*
Authors to whom correspondence should be addressed.
Crops 2023, 3(2), 136-138; https://doi.org/10.3390/crops3020013
Submission received: 13 April 2023 / Accepted: 17 April 2023 / Published: 19 April 2023
(This article belongs to the Special Issue Molecular Variability of Crop Pathogens)
Crops account for over 80% of the human diet; however, plant diseases and pests are responsible for up to 40% of the loss in food production worldwide, costing approximately EUR 200 billion [1]. There are four main types of plant pathogens and pests affecting crops, namely bacteria, fungi, viruses and nematodes. These have a major impact on food production worldwide, especially when they affect staple crops, such as rice, wheat, maize and potatoes, on which vulnerable populations are deeply dependent, leading to food insecurity [2]. Additionally, as food demand continues to increase, agricultural production is further threatened by environmental pressures that result from current and predicted climate change scenarios [3]. Thus, it is becoming ever more relevant to look at the effect of these factors on the genetics, prevalence and virulence of crop-pathogenic organisms to enable the development of efficient tools to decrease losses and improve food availability worldwide.
Disease management is improving with the aim of increasing efficiency, allowing for early detection, and efficacy, thus ensuring that crop loss is avoided. Recent advances highlight the importance of epigenetic regulation in plant immunity and phenotypic variation in plant–microbe dynamics. Gene-editing technology is also rapidly advancing to develop crops with plant disease resistance. Other molecular-based strategies, such as the sequencing of pathogen populations, transcriptome analysis to identify virulence-related gene expression, or proteome analysis to identify proteins involved in pathogenicity may help in anticipating the emergence of virulent populations and prevent disease outbreaks. These virulence mechanisms may also be analyzed through metabolomic studies that, by looking at primary and secondary metabolite changes, can determine key resistance/susceptibility-associated pathways in the plant–microbe interaction. Finally, biocontrol agents have been increasingly used as sustainable counterparts to the application of chemical pesticides and antibiotics that endanger environmental and human health safety.
This Special Issue aimed to explore the influence of genetic and environmental factors on the molecular variability of crop pathogens that underpin disease incidence and spread. It focused on the molecular mechanisms involved in the crosstalk between pathogens and crops that could support effective disease management strategies. This collection contains six published papers addressing key bacterial and fungal pathogens in coffee, sorghum, tomato, triticale, rice and kiwifruit plants. They report two main disease management strategies, biocontrol agents [4,5] and molecular-based [6,7,8,9].
As recently reviewed [10], Trichoderma species are effective biocontrol agents not only against phytopathogens but also abiotic stresses. Indeed, in the papers published in this Special Issue, further evidence was presented regarding the Trichoderma mode of action in disease control. Specifically, in [4], the diversity of Trichoderma species present in coffee plants was characterized. The major knowledge gap addressed was the lack of data on the application of this biocontrol method in tropical perennial crops. The authors identified and characterized 175 isolates of Trichoderma, which corresponded to 16 putative species. These were screened for their potential as a biocontrol agent against coffee wilt disease, caused by the fungal pathogen Fusarium xylarioides. Based on in vitro assays, three isolates were selected as the most effective against the infection agent—T. asperellum AU71, T. asperellum AU131 and T. longibrachiatum AU158. In [5], the authors adopted a two-branched approach by testing two Trichoderma isolates against Fusarium oxysporum f. sp. lycopersici and Rhizoctonia solani in tomato plants, firstly under in vitro conditions and secondly in greenhouse trials. The main innovation of this study was the selection of new strains from T. atrobrunneum and T. simmonsii, which are species with few studies for this application. The authors identified isolates from both species with a strong antagonistic effect against the pathogens and also showed that a positive plant-promoting growth effect may occur in stressed plants.
As regards the studies based on molecular techniques, Ref. [6] used phenotyping combined with a targeted gene expression analysis to understand the mechanisms of resistance of 36 sorghum accessions against pathotype 5 of Sporisorium reilianum. The authors observed that the expression of chitinase- and PR10-encoding genes may be key in the mechanism behind this plant’s pathosystem. To select multi-resistant triticale genotypes, the study developed in [7] tested the genetic variation of 656 triticale cultivars for their resistance to powdery mildew, leaf rust, yellow rust, stem rust and Fusarium head blight. This large-scale experiment advanced knowledge on the phenotypic data available for triticale species’ disease resistance and evidenced the importance of understanding these pathogens’ incidence dynamics in response to climate change. In [8], the authors used transcriptome sequencing and analysis to understand the molecular mechanisms behind brown planthopper infection in rice plants. The large transcriptome data obtained showed alterations in different biologically relevant gene classes and allowed the identification of differentially expressed genes commonly triggered in three rice varieties after insect damage, paving the way for future resistance screening studies. Finally, Ref. [9] reviews the mitigation strategies for controlling bacterial plant pathogens, using Pseudomonas syringae pv. actinidiae (Psa) as a case study. Efforts to control Psa, the pathogen causing bacterial canker in kiwifruit orchards, have focused on understanding Psa population structure, virulence mechanisms, and plant defense strategies. While eradication has not been achieved, a steady coexistence has been established through integrated approaches in orchard management, which include the development of biochemical and molecular approaches for pathogen identification, understanding pathogen epidemiology, the improvement of orchard management using prophylactic treatments and reducing the influence of environmental factors, and anticipating pathogen dispersal using remote sensing and modelling approaches. The most effective and sustainable strategy for managing plant diseases is host resistance; however, achieving this requires a comprehensive grasp of plant regulatory mechanisms. This not only includes ground-breaking high-throughput approaches on topics such as pathogen recognition, triggered immunity, plant antioxidant response, phytohormone regulation, and primary and secondary metabolism, but also conducting meta-analyses to harness the wealth of molecular evidence accumulated over the past decade.
In conclusion, the sustainable management of crop pathogens must include optimized agricultural practices that prevent or delay the appearance of pathogens, including molecular approaches aiming for early detection, effective crop protection, and enhancing plant tolerance. These efforts must be temporally and spatially dynamic to account for the constantly shifting genetics of bacterial populations and respective plant hosts. Although mitigating crop pathogens with minimal impact on food production and sustainable resource utilization is challenging, it can be achieved through effective knowledge transfer and collaboration among producers, researchers, and policymakers.

Acknowledgments

The authors are deeply thankful to all authors and reviewers who have contributed to this Special Issue. The authors would also like to thank the scientific collaboration under the FCT project UIDB/50016/2020 and 2022.01903.CEECIND.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Climate Change Fans Spread of Pests and Threatens Plants and Crops, New FAO Study. Available online: https://www.fao.org/news/story/en/item/1402920/icode/ (accessed on 6 April 2023).
  2. Kashyap, B.; Kumar, R. Sensing methodologies in agriculture for monitoring biotic stress in plants due to pathogens and pests. Inventions 2021, 6, 29. [Google Scholar] [CrossRef]
  3. Anuar, M.S.K.; Hashim, A.M.; Ho, C.L.; Wong, M.; Sundram, S.; Saidi, N.B.; Yusof, M.T. Synergism biocontrol agents and biostimulants in reducing abiotic and biotic stresses in crop. World J. Microbiol. Biotechnol. 2023, 39, 123. [Google Scholar] [CrossRef] [PubMed]
  4. Mulatu, A.; Megersa, N.; Abena, T.; Kanagarajan, S.; Liu, Q.; Tenkegna, T.A.; Vetukuri, R.R. Biodiversity of the genus Trichoderma in the rhizosphere of coffee (Coffea arabica) plants in Ethiopia and their potential use in biocontrol of coffee wilt disease. Crops 2022, 2, 120–141. [Google Scholar] [CrossRef]
  5. Natsiopoulos, D.; Tziolias, A.; Lagogiannis, I.; Mantzoukas, S.; Eliopoulos, P.A. Growth-promoting and protective effect of Trichoderma atrobrunneum and T. simmonsii on tomato against soil-borne fungal pathogens. Crops 2022, 2, 202–217. [Google Scholar] [CrossRef]
  6. Ahn, E.; Prom, L.K.; Fall, C.; Magill, C. Response of Senegalese sorghum seedlings to pathotype 5 of Sporisorium reilianum. Crops 2022, 2, 142–153. [Google Scholar] [CrossRef]
  7. Miedaner, T.; Flath, K.; Starck, N.; Weißmann, S.; Maurer, H.P. Quantitative-genetic evaluation of resistances to five fungal diseases in a large triticale diversity panel (X Triticosecale). Crops 2022, 2, 218–232. [Google Scholar] [CrossRef]
  8. Shi, L.; He, H.; Zhang, J.; Jiang, Z.; Qiu, L.; Zhan, Z. Comparative transcriptomic analysis reveals variable responses to the brown planthopper Nilaparvata lugens in different rice cultivars. Crops 2023, 3, 40–52. [Google Scholar] [CrossRef]
  9. Nunes da Silva, M.; Santos, M.G.; Vasconcelos, M.W.; Carvalho, S.M.P. Mitigation of emergent bacterial pathogens using Pseudomonas syringae pv. actinidiaea as a case study—From orchard to gene and everything in between. Crops 2022, 2, 351–377. [Google Scholar]
  10. Guzmán-Guzmán, P.; Kumar, A.; Santos-Villalobos, S.; Parra-Cota, F.I.; Orozco-Mosqueda, M.C.; Fadiji, A.E.; Hyder, S.; Babalola, O.O.; Santoyo, G. Trichoderma species: Our best fungal allies in the biocontrol of plant diseases—A review. Plants 2023, 12, 432. [Google Scholar] [CrossRef] [PubMed]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Santos, C.S.; Nunes da Silva, M. Molecular Variability of Crop Pathogens. Crops 2023, 3, 136-138. https://doi.org/10.3390/crops3020013

AMA Style

Santos CS, Nunes da Silva M. Molecular Variability of Crop Pathogens. Crops. 2023; 3(2):136-138. https://doi.org/10.3390/crops3020013

Chicago/Turabian Style

Santos, Carla S., and Marta Nunes da Silva. 2023. "Molecular Variability of Crop Pathogens" Crops 3, no. 2: 136-138. https://doi.org/10.3390/crops3020013

Article Metrics

Back to TopTop