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[This corrects the article DOI: 10.3389/fpls.2023.1156869.].

Fungicide is used to control fungal disease by destroying and inhibiting the fungus or fungal spores that cause the disease. However, failure to deliver fungicide to the disease region leads to ineffectiveness in the disease control. Hence, in the present study, nanotechnology has enabled the fungicide active agents (hexaconazole) to be encapsulated into chitosan nanoparticles with the aim of developing a fungicide nanodelivery system that can transport them more effectively to the target cells (Ganoderma fungus). A pathogenic fungus, Ganoderma boninense (G. boninense), is destructive to oil palm whereby it can cause significant loss to oil palm plantations located in the Southeast Asian countries, especially Malaysia and Indonesia. In regard to this matter, a series of chitosan nanoparticles loaded with the fungicide, hexaconazole, was prepared using various concentrations of crosslinking agent sodium tripolyphosphate (TPP). The resulting particle size revealed that the increase of the TPP concentration produced smaller particles. In addition, the in vitro fungicide released at pH 5.5 demonstrated that the fungicide from the nanoparticles was released in a sustainable manner with a prolonged release time up to 86 h. On another note, the in vitro antifungal studies established that smaller particle size leads to lower half maximum effective concentration (EC50) value, which indicates higher antifungal activity against G. boninense.

Basal stem rot due to a fungal pathogen, Ganoderma boninense , is one of the most devastating diseases in oil palm throughout the major palm oil producer countries. This study investigated the potential of polypore fungi as biological control agents against pathogenic G. boninense in oil palm. In vitro antagonistic screening of selected non-pathogenic polypore fungi was performed. Based on in planta fungi inoculation on oil palm seedlings, eight of the 21 fungi isolates tested (GL01, GL01, RDC06, RDC24, SRP11, SRP12, SRP17, and SRP18) were non-pathogenic. In vitro antagonistic assays against G. boninense revealed that the percentage inhibition of radial growth (PIRG) in dual culture assay for SRP11 (69.7%), SRP17 (67.3%), and SRP18 (72.7%) was relatively high. Percentage inhibition of diameter growth (PIDG) in volatile organic compounds (VOCs) in dual plate assay of SRP11, SRP17, and SRP18 isolates were 43.2%, 51.6%, and 52.1%, respectively. Molecular identification using the internal transcribed spacer gene sequences of SRP11, SRP17, and SRP18 isolates revealed that they were Fomes sp., Trametes elegans , and Trametes lactinea, respectively.

Ganoderma boninense ( G. boninense ) is a soil-borne fungus threatening oil palm at the present. It causes basal stem rot disease on oil palm. Within six months, this fungus can cause an oil palm plantation to suffer a significant 43% economic loss. The high persistence and nature of spread of G. boninense in soil make control of the disease challenging. Therefore, controlling the pathogen requires a thorough understanding of the mechanisms that underlie pathogenicity as well as its interactions with host plants. In this paper, we present the general characteristics, the pathogenic mechanisms, and the host’s defensive system of G. boninense . We also review upcoming and most promising techniques for disease management that will have the least negative effects on the environment and natural resources.

Understanding the microbial communities in asymptomatic oil palm seedlings is crucial for developing disease-suppressive microbiota against basal stem rot (BSR) in oil palm. In this study, we compared the microbial communities in bulk soil, rhizosphere, and endosphere of control, asymptomatic, and symptomatic seedlings following inoculation with Ganoderma boninense. Our findings revealed significant shifts in microbial structure and interactions, particularly in asymptomatic seedlings. Both Actinobacteriota and Ascomycota were notably enriched in these samples, with Actinobacteriota identified as keystone taxa. Long-read shotgun metagenomics demonstrated that 67.4% of enriched Actinobacteriota taxa were unique to asymptomatic seedlings. Similarly, Ascomycota members showed significant enrichment, suggesting their potential role in BSR suppression. The consistent identification of these phyla across various analyses underscores their importance in disease resistance. This is the first report detailing the shifts in prokaryotic and fungal communities in asymptomatic and symptomatic seedlings, offering insights into potential disease-suppressive taxa across three compartments: bulk soil, rhizosphere, and endosphere of oil palm seedlings.

Early detection of Basal Stem Rot (BSR) disease in oil palms is an important plantation management activity in Southeast Asia. Practical approaches for the best strategic approach toward the treatment of this disease that originated from Ganoderma Boninense require information about the status of infection. In spite of the availability of conventional methods to detect this disease, they are difficult to be used in plantation areas that are commonly large in terms of planting hectarage; therefore, there is an interest for a quick and delicate technique to facilitate the detection and monitoring of Ganoderma in its early stage. The main goal of this paper is to evaluate the use of remote sensing technique for the rapid detection of Ganoderma-infected oil palms using Unmanned Aerial Vehicle (UAV) imagery integrated with an Artificial Neural Network (ANN) model. Principally, we sought for the most representative mean and standard deviation values from green, red, and near-infrared bands, as well as the best palm circle radius, threshold limit, and the number of hidden neurons for different Ganoderma severity levels. With the obtained modified infrared UAV images at 0.026 m spatial resolution, early BSR infected oil palms were most satisfactorily detected with mean and standard deviation derived from a circle radius of 35 pixels of band green and near-infrared, 1/8 threshold limit, and ANN network by 219 hidden neurons, where the total classification accuracies achieved for training and testing the dataset were 97.52% and 72.73%, respectively. The results from this study signified the utilization of an affordable digital camera and UAV platforms in oil palm plantation, predominantly in disease management. The UAV images integrated with the Levenberg–Marquardt training algorithm illustrated its great potential as an aerial surveillance tool to detect early Ganoderma-infected oil palms in vast plantation areas in a rapid and inexpensive manner.

Oil palm infectious diseases have devastating economic implications for the Southeast Asian nations of Indonesia and Malaysia. Therefore, this paper reviews oil palm growth, related diseases, specifically Ganoderma sp. infection, and control methods. The literature was sourced from Scopus using the following keywords: Oil palm, palm oil, Ganoderma boninense , Ganoderma , Elaeis , basal stem rot, Elaies guineensis , fungi, Arecaceae , and microbiology. The majority (73.1%) of infection control methods focused on biological methods such as biological control agents (BCA), metabolites from BCAs, and the development of resistant oil palm varieties. The second most frequent subject included chemical control methods such as fungicides and fertilisers (25.6%), and only one study (1.3%) focused on a mechanical (cultural) control method (pulverisation). Trichoderma spp. were the most frequently studied BCA. Other BCAs included Pseudomonas aeruginosa, endophytes of oil palm , Pycnoporus sanguineus, Streptomyces, Hymenomycetes, Burkholderia cepacian , and Schizophyllum commune . Currently, there is no effective method to combat G. boninense infection. The reviewed biological, chemical, and mechanical control methods are available to the industry, leaving scope for future studies. Graphical abstract

Oil palm plantations face serious challenges from Ganoderma boninense , a pathogen that causes basal stem rot (BSR), leading to significant productivity losses, with an estimated economic impact of 68.73%. Ganoderma spreads through direct root contact and airborne spores, affecting plantations across Indonesia, Malaysia, and other countries. Understanding the mechanisms of oil palm resistance to Ganoderma is crucial for developing effective strategies. Metabolomic profiling, ¹H NMR spectroscopy, offers a promising tool for identifying and quantifying metabolic changes associated with Ganoderma resistance. This study, ¹H NMR was employed to analyze root tissues of resistant, susceptible, and control oil palm seedlings exposed to Ganoderma . The results indicated that PCA effectively differentiated resistant palms from susceptible ones, while PLS-DA identified 14 significant metabolites. Further analysis using OPLS-DA and ROC revealed that ascorbic acid, D-gluconic acid, D-fructose, and 2-oxoisovalerate could serve as potential biomarkers for screening resistant palms. The metabolites identified in this study hold considerable promise for supporting breeding programs to develop oil palm varieties with enhanced resistance to BSR.

This study compared the pathogenicity of monokaryotic (monokaryon) and dikaryotic (dikaryon) mycelia of the oil palm pathogen Ganoderma boninense via metabolomics approach. Ethyl acetate crude extracts of monokaryon and dikaryon were analysed by liquid chromatography quadrupole/time-of-flight-mass spectrometry (LC-Q/TOF–MS) coupled with multivariate data analysis using MetaboAnalyst. The mummichog algorithm was also used to identify the functional activities of monokaryon and dikaryon without a priori identification of all their secondary metabolites. Results revealed that monokaryon produced lesser fungal metabolites than dikaryon, suggesting that monokaryon had a lower possibility of inducing plant infection. These findings were further supported by the identified functional activities. Monokaryon exhibits tyrosine, phenylalanine, and tryptophan metabolism, which are important for fungal growth and development and to produce toxin precursors. In contrast, dikaryon exhibits the metabolism of cysteine and methionine, arginine and proline, and phenylalanine, which are important for fungal growth, development, virulence, and pathogenicity. As such, monokaryon is rendered non-pathogenic as it produces growth metabolites and toxin precursors, whereas dikaryon is pathogenic as it produces metabolites that are involved in fungal growth and pathogenicity. The LC–MS-based metabolomics approach contributes significantly to our understanding of the pathogenesis of Ganoderma boninense , which is essential for disease management in oil palm plantations.

The hemibiotrophic Basidiomycete pathogen Ganoderma boninense ( Gb ) is the dominant causal agent of oil palm basal stem rot disease. Here, we report a complete chromosomal genome map of Gb using a combination of short-read Illumina and long-read Pacific Biosciences (PacBio) sequencing platforms combined with chromatin conformation capture data from the Chicago and Hi-C platforms. The genome was 55.87 Mb in length and assembled to a high contiguity (N50: 304.34 kb) of 12 chromosomes built from 112 scaffolds, with a total of only 4.34 Mb (~ 7.77%) remaining unplaced. The final assemblies were evaluated for completeness of the genome by using Benchmarking Universal Single Copy Orthologs (BUSCO) v4.1.4, and based on 4464 total BUSCO polyporales group searches, the assemblies yielded 4264 (95.52%) of the conserved orthologs as complete and only a few fragmented BUSCO of 42 (0.94%) as well as a missing BUSCO of 158 (3.53%). Genome annotation predicted a total of 21,074 coding genes, with a GC content ratio of 59.2%. The genome features were analyzed with different databases, which revealed 2471 Gene Ontology/GO (11.72%), 5418 KEGG (Kyoto Encyclopedia of Genes and Genomes) Orthologous/KO (25.71%), 13,913 Cluster of Orthologous Groups of proteins/COG (66.02%), 60 ABC transporter (0.28%), 1049 Carbohydrate-Active Enzymes/CAZy (4.98%), 4005 pathogen–host interactions/PHI (19%), and 515 fungal transcription factor/FTFD (2.44%) genes. The results obtained in this study provide deep insight for further studies in the future.