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Fulltext Analysis of simple sequence repeat markers linked with blast disease resistance genes in a segregating population of rice (Oryza sativa)

Ashkani S, Rafii MY, Sariah M, Siti Nor Akmar A, Rusli I, Abdul Rahim H, et al.

Genet. Mol. Res., 2011 Jul 06;10(3):1345-55.
PMID: 21751161 DOI: 10.4238/vol10-3gmr1331

Among 120 simple sequence repeat (SSR) markers, 23 polymorphic markers were used to identify the segregation ratio in 320 individuals of an F(2) rice population derived from Pongsu Seribu 2, a resistant variety, and Mahsuri, a susceptible rice cultivar. For phenotypic study, the most virulent blast (Magnaporthe oryzae) pathotype, P7.2, was used in screening of F(2) population in order to understand the inheritance of blast resistance as well as linkage with SSR markers. Only 11 markers showed a good fit to the expected segregation ratio (1:2:1) for the single gene model (d.f. = 1.0, P < 0.05) in chi-square (χ(2)) analyses. In the phenotypic data analysis, the F(2) population segregated in a 3:1 (R:S) ratio for resistant and susceptible plants, respectively. Therefore, resistance to blast pathotype P7.2 in Pongsu Seribu 2 is most likely controlled by a single nuclear gene. The plants from F(2) lines that showed resistance to blast pathotype P7.2 were linked to six alleles of SSR markers, RM168 (116 bp), RM8225 (221 bp), RM1233 (175 bp), RM6836 (240 bp), RM5961 (129 bp), and RM413 (79 bp). These diagnostic markers could be used in marker assisted selection programs to develop a durable blast resistant variety.

Matched MeSH terms: Plant Diseases/genetics*; Plant Diseases/microbiology*
Isolation and identification of antagonistic bacteria from phylloplane of rice as biocontrol agents for sheath blight

Akter S, Kadir J, Juraimi AS, Saud HM, Elmahdi S

J Environ Biol, 2014 Nov;35(6):1095-100.
PMID: 25522511

A total of 325 bacteria were isolated from both healthy and sheath blight infected leaf samples of rice plants, collected from different places of Malaysia, following dilution technique. Sheath blight pathogen was isolated from infected samples by tissue plating method. Out of 325, 14 isolates were found to be antagonist against the pathogen in pre evaluation test. All the 14 isolates were morphologically characterized. Antagonistic activity of these isolates was further confirmed by adopting the standard dual culture and extracellular metabolite tests. The best isolates were selected, based on the results. In dual culture test, the selected bacterial isolates KMB25, TMB33, PMB38, UMB20 and BMB42 showed 68.44%, 60.89%, 60.22%, 50.00% and 48.22% fungal growth inhibition, respectively and in extracellular metabolite test these bacterial isolates exhibited 93.33%, 84.26%, 69.82%, 67.96% and 39.26% of the same, respectively. Biochemical tests of selected isolates were performed following standard procedure. These bacterial isolates were tentatively identified as fluorescent pseudomonas by morphological and biochemical characterization. The identities were further confirmed by Biolog microstation system as P. fluorescens (UMB20), P. aeruginosa (KMB25, TMB33 and PMB38) and P. asplenii (BMB42) with similarity index ranging from 0.517 to 0.697. The effective bacterial isolates obtained from the present study can be used in the management of soil borne fungal pathogen Rhizoctonia solani, causing sheath blight of rice.

Matched MeSH terms: Plant Diseases/microbiology*; Plant Diseases/prevention & control
Epinecidin-1, a marine antifungal peptide, inhibits Botrytis cinerea and delays gray mold in postharvest peaches

Fan L, Wei Y, Chen Y, Jiang S, Xu F, Zhang C, et al.

Food Chem, 2023 Mar 01;403:134419.
PMID: 36191421 DOI: 10.1016/j.foodchem.2022.134419

This study investigatedthe mechanism of epinecidin-1 against Botrytis cinerea, in vitro, and its effectiveness at inhibiting gray mold on postharvest peach fruit. We found that in vitro, epinecidin-1 had significantly greater antifungal activity against B. cinerea than either clavanin-A or mytimycin, two other marine derived antimicrobial peptides that we tested. Its antifungal activity was heat-resistant (15 min at 40-100 °C) and tolerant to lower concentrations of cations (<100 mM Na+, K+; <10 mM Ca2+). Epinecidin-1 interacted directly with B. cinerea genomic DNA, and that in mycelia, epinecidin-1 exposure induced accumulation of intracellular ROS and increased the permeability of cell membranes resulting in leakage of nucleic acids and aberrant cell morphology. Meanwhile, 200 μM of epinecidin-1 had a significant inhibitory effect on gray mold injected into peach fruit. These results suggested that epinecidin-1 showed promise as a potential method for controlling postharvest gray mold in peaches.

Matched MeSH terms: Plant Diseases/microbiology; Plant Diseases/prevention & control
Fulltext The Possible Biotechnological Use of Edible Mushroom Bioproducts for Controlling Plant and Animal Parasitic Nematodes

Castañeda-Ramírez GS, Torres-Acosta JFJ, Sánchez JE, Mendoza-de-Gives P, González-Cortázar M, Zamilpa A, et al.

Biomed Res Int, 2020;2020:6078917.
PMID: 32685507 DOI: 10.1155/2020/6078917

The present paper reviewed publications on the nematocidal activity of edible mushrooms (EM) and their potential use as sustainable tools for the control of parasitic nematodes affecting agriculture and livestock industry. Nematodes are organisms living in the soil and animals' guts where they may live as parasites severely affecting economically important crops and farm animals, thus causing economic losses to worldwide agriculture. Traditionally, parasitic nematodes have been controlled using commercial pesticides and anthelmintic (AH) drugs. Over the years, nematodes developed resistance to the AH drugs, reducing the usefulness of many commercial drugs. Also, the use of pesticides/anthelmintic drugs to control nematodes can have important negative impacts on the environment. Different EM have been not only used as food but also studied as alternative methods for controlling several diseases including parasitic nematodes. The present paper reviewed publications from the last decades about the nematocidal activity of EM and assessed their potential use as sustainable tools for the control of nematodes affecting agriculture and livestock industry. A reduced number of reports on the effect of EM against nematodes were found, and an even smaller number of reports regarding the potential AH activity of chemical compounds isolated from EM products were found. However, those studies have produced promising results that certainly deserve further investigation. It is concluded that EM, their fractions and extracts, and some compounds contained in them may have biotechnological application for the control of animal and plant parasitic nematodes.

Matched MeSH terms: Plant Diseases/parasitology*
Toxigenicity of some fusaria associated with plant and human diseases in the Malaysian peninsula

Salleh B, Strange RN

J. Gen. Microbiol., 1988 Mar;134(3):841-7.
PMID: 3183622

In the course of a plant disease survey of the Malaysian Peninsula (Malaysia comprises the Malaysian Peninsula, Sabah and Sarawak) during the period 1981-1986, more than 1000 isolates of Fusarium were obtained from diseased plants and seeds. Two further isolates were obtained from patients admitted to hospitals in the same area. The occurrences of F. proliferatum, F. nygamai and F. longipes are new records for the Malaysian Peninsula and the association of F. solani and F. oxysporum var. redolens with human diseases does not seem to have been reported previously. Ten representative species which could be classified into seven sections of the genus were selected for studies of their toxigenicity in liquid cultures and/or on rice. Crude toxin preparations from culture filtrates or extracts of the inoculated rice were tested for toxicity to brine shrimp larvae and tobacco mesophyll protoplasts. The protoplasts were more sensitive than the brine shrimp larvae to the toxin preparations, except those from the isolates of F. solani and F. oxysporum var. redolens obtained from either humans or tobacco. The toxicity of the preparations from rice cultures per g rice was always greater than the toxicity per ml of culture filtrates from cultures grown on Czapek-Dox broth, Czapek-Dox supplemented with 1% (w/v) peptone or Czapek-Dox supplemented with 5% (w/v) tobacco extract. The activity of all toxin preparations was stable to heat. It is concluded that the occurrence of toxigenic species of Fusarium in the Malaysian Peninsula is widespread and that they may pose a serious threat to the health of human, animal and plant populations.

Matched MeSH terms: Plant Diseases*
Fulltext Ginger Essential Oils-Loaded Nanoemulsions: Potential Strategy to Manage Bacterial Leaf Blight Disease and Enhanced Rice Yield

Adamu A, Ahmad K, Siddiqui Y, Ismail IS, Asib N, Bashir Kutawa A, et al.

Molecules, 2021 Jun 25;26(13).
PMID: 34202405 DOI: 10.3390/molecules26133902

The bacterial leaf blight (BLB) caused by Xanthomonas oryzae pv. oryzae (Xoo) is one of the most serious rice diseases, causing huge yield losses worldwide. Several technologies and approaches have been opted to reduce the damage; however, these have had limited success. Recently, scientists have been focusing their efforts on developing efficient and environmentally friendly nanobactericides for controlling bacterial diseases in rice fields. In the present study, a scanning electron microscope (SEM), transmission electron microscope (TEM), and a confocal laser scanning microscope (CLSM) were utilized to investigate the mode of actions of ginger EOs on the cell structure of Xoo. The ginger EOs caused the cells to grow abnormally, resulting in an irregular form with hollow layers, whereas the dimethylsulfoxide (DMSO) treatment showed a typical rod shape for the Xoo cell. Ginger EOs restricted the growth and production of biofilms by reducing the number of biofilms generated as indicated by CLSM. Due to the instability, poor solubility, and durability of ginger EOs, a nanoemulsions approach was used, and a glasshouse trial was performed to assess their efficacy on BLB disease control. The in vitro antibacterial activity of the developed nanobactericides was promising at different concentration (50-125 µL/mL) tested. The efficacy was concentration-dependent. There was significant antibacterial activity recorded at higher concentrations. A glasshouse trial revealed that developed nanobactericides managed to suppress BLB disease severity effectively. Treatment at a concentration of 125 μL/mL was the best based on the suppression of disease severity index, AUDPC value, disease reduction (DR), and protection index (PI). Furthermore, findings on plant growth, physiological features, and yield parameters were significantly enhanced compared to the positive control treatment. In conclusion, the results indicated that ginger essential oils loaded-nanoemulsions are a promising alternative to synthetic antibiotics in suppressing Xoo growth, regulating the BLB disease, and enhancing rice yield under a glasshouse trial.

Matched MeSH terms: Plant Diseases/microbiology*
Analysis of codon usage patterns and influencing factors in rice tungro bacilliform virus

Nguyen TH, Wang D, Rahman SU, Bai H, Yao X, Chen D, et al.

Infect Genet Evol, 2021 06;90:104750.
PMID: 33548490 DOI: 10.1016/j.meegid.2021.104750

Rice tungro bacilliform virus (RTBV) belongs to genus Tungrovirus within the family Caulimoviridae harbors circular double-stranded DNA (dsDNA). Rice tungro disease (RTD) caused by RTBV, responsible for severe rice yield losses in South and Southeast Asia. Here, we performed a systematic evolutionary and codon usage bias (CUB) analysis of RTBV genome sequences. We analysed different bioinformatics techniques to calculate the nucleotide compositions, the relative synonymous codon usage (RSCU), and other indices. The results indicated slightly or low codon usage bias in RTBV isolates. Mutation and natural selection pressures have equally contributed to this low codon usage bias. Additionally, multiple factors such as host, geographical distribution also affect codon usage patterns in RTBV genomes. RSCU analysis revealed that RTBV shows mutation bias and prefers A and U ended codons to code amino acids. Codon usage patterns of RTBV were also found to be influenced by its host. This indicates that RTBV have evolved codon usage patterns that are specific to its host. The findings from this study are expected to increase our understanding of factors leading to viral evolution and fitness with respect to hosts and the environment.

Matched MeSH terms: Plant Diseases/virology*
ROS Stress and Cell Membrane Disruption are the Main Antifungal Mechanisms of 2-Phenylethanol against Botrytis cinerea

Zou X, Wei Y, Jiang S, Xu F, Wang H, Zhan P, et al.

J Agric Food Chem, 2022 Nov 16;70(45):14468-14479.
PMID: 36322824 DOI: 10.1021/acs.jafc.2c06187

2-Phenylethanol (2-PE), a common compound found in plants and microorganisms, exhibits broad-spectrum antifungal activity. Using Botrytis cinerea, we demonstrated that 2-PE suppressed mycelium growth in vitro and in strawberry fruit and reduced natural disease without adverse effects to fruit quality. 2-PE caused structural damage to mycelia, as shown by scanning and transmission electron microscopy. From RNA sequencing analysis we found significantly upregulated genes for enzymatic and nonenzymatic reactive oxygen species (ROS) scavenging systems including sulfur metabolism and glutathione metabolism, indicating that ROS stress was induced by 2-PE. This was consistent with results from assays demonstrating an increase ROS and hydrogen peroxide levels, antioxidant enzyme activities, and malondialdehyde content in treated cells. The upregulation of ATP-binding cassette transporter genes, the downregulation of major facilitator superfamily transporters genes, and the downregulation of ergosterol biosynthesis genes indicated a severe disruption of cell membrane structure and function. This was consistent with results from assays demonstrating compromised membrane integrity and lipid peroxidation. To summarize, 2-PE exposure suppressed B. cinerea growth through ROS stress and cell membrane disruption.

Matched MeSH terms: Plant Diseases/microbiology
Pan-genome analysis and molecular docking unveil the biocontrol potential of Bacillus velezensis VB7 against Phytophthora infestans

Kadiri M, Sevugapperumal N, Nallusamy S, Ragunathan J, Ganesan MV, Alfarraj S, et al.

Microbiol Res, 2023 Mar;268:127277.
PMID: 36577205 DOI: 10.1016/j.micres.2022.127277

Management of late blight of potato incited by Phytophthora infestans remains a major challenge. Coevolution of pathogen with resistant strains and the rise of fungicide resistance have made it more challenging to prevent the spread of P. infestans. Here, the anti-oomycete potential of Bacillus velezensis VB7 against P. infestans through pan-genome analysis and molecular docking were explored. The Biocontrol potential of VB7 against P. infestans was assessed using a confrontational assay. The biomolecules from the inhibition zone were identified and subjected to in silico analysis against P. infestans target proteins. Nucleotide sequences for 54 B. velezensis strains from different geographical locations were used for pan-genome analysis. The confrontational assay revealed the anti-oomycetes potential of VB7 against P. infestans. Molecular docking confirmed that the penicillamine disulfide had the maximum binding energy with eight effector proteins of P. infestans. Besides, scanning electron microscopic observations of P. infestans interaction with VB7 revealed structural changes in hypha and sporangia. Pan-genome analysis between 54 strains of B. velezensis confirmed that the core genome had 2226 genes, and it has an open pan-genome. The present study confirmed the anti-oomycete potential of B. velezensis VB7 against P. infestans and paved the way to explore the genetic potential of VB7.

Matched MeSH terms: Plant Diseases/prevention & control
Association of soil fungal community composition with incidence of Fusarium wilt of banana in Malaysia

Jamil FN, Hashim AM, Yusof MT, Saidi NB

Mycologia, 2023;115(2):178-186.
PMID: 36893072 DOI: 10.1080/00275514.2023.2180975

Banana (Musa spp.), an important food crop in many parts of the world, is threatened by a deadly wilt disease caused by Fusarium oxysporum f. sp. cubense Tropical Race 4 (TR4). Increasing evidence indicates that plant actively recruits beneficial microbes in the rhizosphere to suppress soil-borne pathogens. Hence, studies on the composition and diversity of the root-associated microbial communities are important for banana health. Research on beneficial microbial communities has focused on bacteria, although fungi can also influence soil-borne disease. Here, high-throughput sequencing targeting the fungal internal transcribed spacer (ITS) was employed to systematically characterize the difference in the soil fungal community associated with Fusarium wilt (FW) of banana. The community structure of fungi in the healthy and TR4-infected rhizospheres was significantly different compared with that of bulk soil within the same farm. The rhizosphere soils of infected plants exhibited higher richness and diversity compared with healthy plants, with significant abundance of Fusarium genus at 14%. In the healthy rhizosphere soil, Penicillium spp. were more abundant at 7% and positively correlated with magnesium. This study produced a detailed description of fungal community structure in healthy and TR4-infected banana soils in Malaysia and identified candidate biomarker taxa that may be associated with FW disease promotion and suppression. The findings also expand the global inventory of fungal communities associated with the components of asymptomatic and symptomatic banana plants infected by TR4.

Matched MeSH terms: Plant Diseases/microbiology
Fulltext Analysis of banana plant health using machine learning techniques

Thiagarajan JD, Kulkarni SV, Jadhav SA, Waghe AA, Raja SP, Rajagopal S, et al.

Sci Rep, 2024 Jul 01;14(1):15041.
PMID: 38951552 DOI: 10.1038/s41598-024-63930-y

The Indian economy is greatly influenced by the Banana Industry, necessitating advancements in agricultural farming. Recent research emphasizes the imperative nature of addressing diseases that impact Banana Plants, with a particular focus on early detection to safeguard production. The urgency of early identification is underscored by the fact that diseases predominantly affect banana plant leaves. Automated systems that integrate machine learning and deep learning algorithms have proven to be effective in predicting diseases. This manuscript examines the prediction and detection of diseases in banana leaves, exploring various diseases, machine learning algorithms, and methodologies. The study makes a contribution by proposing two approaches for improved performance and suggesting future research directions. In summary, the objective is to advance understanding and stimulate progress in the prediction and detection of diseases in banana leaves. The need for enhanced disease identification processes is highlighted by the results of the survey. Existing models face a challenge due to their lack of rotation and scale invariance. While algorithms such as random forest and decision trees are less affected, initially convolutional neural networks (CNNs) is considered for disease prediction. Though the Convolutional Neural Network models demonstrated impressive accuracy in many research but it lacks in invariance to scale and rotation. Moreover, it is observed that due its inherent design it cannot be combined with feature extraction methods to identify the banana leaf diseases. Due to this reason two alternative models that combine ANN with scale-invariant Feature transform (SIFT) model or histogram of oriented gradients (HOG) combined with local binary patterns (LBP) model are suggested. The first model ANN with SIFT identify the disease by using the activation functions to process the features extracted by the SIFT by distinguishing the complex patterns. The second integrate the combined features of HOG and LBP to identify the disease thus by representing the local pattern and gradients in an image. This paves a way for the ANN to learn and identify the banana leaf disease. Moving forward, exploring datasets in video formats for disease detection in banana leaves through tailored machine learning algorithms presents a promising avenue for research.

Matched MeSH terms: Plant Diseases*
Sugarcane disease recognition through visible and near-infrared spectroscopy using deep learning assisted continuous wavelet transform-based spectrogram

Ong P, Jian J, Li X, Zou C, Yin J, Ma G

Spectrochim Acta A Mol Biomol Spectrosc, 2025 Jan 05;324:125001.
PMID: 39180971 DOI: 10.1016/j.saa.2024.125001

Utilizing visible and near-infrared (Vis-NIR) spectroscopy in conjunction with chemometrics methods has been widespread for identifying plant diseases. However, a key obstacle involves the extraction of relevant spectral characteristics. This study aimed to enhance sugarcane disease recognition by combining convolutional neural network (CNN) with continuous wavelet transform (CWT) spectrograms for spectral features extraction within the Vis-NIR spectra (380-1400 nm) to improve the accuracy of sugarcane diseases recognition. Using 130 sugarcane leaf samples, the obtained one-dimensional CWT coefficients from Vis-NIR spectra were transformed into two-dimensional spectrograms. Employing CNN, spectrogram features were extracted and incorporated into decision tree, K-nearest neighbour, partial least squares discriminant analysis, and random forest (RF) calibration models. The RF model, integrating spectrogram-derived features, demonstrated the best performance with an average precision of 0.9111, sensitivity of 0.9733, specificity of 0.9791, and accuracy of 0.9487. This study may offer a non-destructive, rapid, and accurate means to detect sugarcane diseases, enabling farmers to receive timely and actionable insights on the crops' health, thus minimizing crop loss and optimizing yields.

Matched MeSH terms: Plant Diseases*
Fulltext Maize Dwarf Mosaic Virus: From Genome to Disease Management

Kannan M, Ismail I, Bunawan H

Viruses, 2018 09 13;10(9).
PMID: 30217014 DOI: 10.3390/v10090492

Maize dwarf mosaic virus (MDMV) is a serious maize pathogen, epidemic worldwide, and one of the most common virus diseases for monocotyledonous plants, causing up to 70% loss in corn yield globally since 1960. MDMV belongs to the genus Potyvirus (Potyviridae) and was first identified in 1964 in Illinois in corn and Johnsongrass. MDMV is a single stranded positive sense RNA virus and is transmitted in a non-persistent manner by several aphid species. MDMV is amongst the most important virus diseases in maize worldwide. This review will discuss its genome, transmission, symptomatology, diagnosis and management. Particular emphasis will be given to the current state of knowledge on the diagnosis and control of MDMV, due to its importance in reducing the impact of maize dwarf mosaic disease, to produce an enhanced quality and quantity of maize.

Matched MeSH terms: Plant Diseases/prevention & control; Plant Diseases/therapy; Plant Diseases/virology*
Precipitation Impacts Dissemination of Three Sooty Blotch and Flyspeck Taxa on Apple Fruit

Rosli H, Batzer JC, Hernández E, Beruski G, Dixon PM, Gleason ML

Plant Dis, 2020 Sep;104(9):2398-2405.
PMID: 32689919 DOI: 10.1094/PDIS-11-19-2340-RE

The spatial dissemination of three prevalent taxa of sooty blotch and flyspeck (SBFS) fungi under several levels of precipitation was compared during 2015 and 2016 in an Iowa apple orchard. Overhead irrigation was used to supplement ambient precipitation in order to insure SBFS spore dissemination and colony development. There were five irrigation levels, involving 1-min-long periods of irrigation that were imposed either once or twice per hour at intervals of 3, 6, or 12 h, as well as a nonirrigated control. Preselected apple fruit were inoculated with one of the three SBFS taxa to serve as sources of inoculum. Dissemination from these inoculated apple fruit was assessed at harvest by counting SBFS colonies on water-sprayed and nontreated fruit. As a further control, additional fruit were enclosed in fruit bags throughout the fruit development period. In both 2015 and 2016, the number of colonies of the SBFS fungus Peltaster gemmifer per apple increased sharply as the duration of irrigation increased, whereas the number of colonies of Microcyclosporella mali increased to a lesser extent and Stomiopeltis sp. RS1 showed no increase. In 2015, the linear relationship between the duration of irrigation-imposed precipitation levels and the number of colonies on the water-sprayed apple fruit was similar for P. gemmifer (slope = 0.09), Stomiopeltis sp. RS1 (slope = 0.07), and Microcyclosporella mali (slope = 0.13); whereas, in 2016, the slope was higher for P. gemmifer (0.28) than for Stomiopeltis sp. RS1 (-0.09) or M. mali (0.06). The results indicated that dissemination of P. gemmifer increased sharply in response to increased irrigation-imposed precipitation, and that dissemination patterns differed considerably among the three SBFS taxa. The apparent advantage of P. gemmifer in precipitation-triggered dissemination may stem from its ability to produce spores rapidly by budding. To our knowledge, this is the first article to assess splash dispersal by SBFS fungi in the field and the first to document taxon-specific patterns of dissemination in this pathogen complex.

Matched MeSH terms: Plant Diseases
Marker-assisted introgression of broad-spectrum blast resistance genes into the cultivated MR219 rice variety

Miah G, Rafii MY, Ismail MR, Puteh AB, Rahim HA, Latif MA

J Sci Food Agric, 2017 Jul;97(9):2810-2818.
PMID: 27778337 DOI: 10.1002/jsfa.8109

BACKGROUND: The rice cultivar MR219 is famous for its better yield and long and fine grain quality; however, it is susceptible to blast disease. The main objective of this study was to introgress blast resistance genes into MR219 through marker-assisted selection (MAS). The rice cultivar MR219 was used as the recurrent parent, and Pongsu Seribu 1 was used as the donor.
RESULTS: Marker-assisted foreground selection was performed using RM6836 and RM8225 to identify plants possessing blast resistance genes. Seventy microsatellite markers were used to estimate recurrent parent genome (RPG) recovery. Our analysis led to the development of 13 improved blast resistant lines with Piz, Pi2 and Pi9 broad-spectrum blast resistance genes and an MR219 genetic background. The RPG recovery of the selected improved lines was up to 97.70% with an average value of 95.98%. Selected improved lines showed a resistance response against the most virulent blast pathogen pathotype, P7.2. The selected improved lines did not express any negative effect on agronomic traits in comparison with MR219.
CONCLUSION: The research findings of this study will be a conducive approach for the application of different molecular techniques that may result in accelerating the development of new disease-resistant rice varieties, which in turn will match rising demand and food security worldwide. © 2016 Society of Chemical Industry.

Matched MeSH terms: Plant Diseases/genetics*; Plant Diseases/immunology; Plant Diseases/prevention & control
A preliminary study to identify and distinguish southern tropical populations of Ganoderma boninense from oil palm via mating assays, sequence data, and microsatellite markers

Pilotti CA, Killah G, Rama D, Gorea EA, Mudge AM

Mycologia, 2021 03 03;113(3):574-585.
PMID: 33656969 DOI: 10.1080/00275514.2020.1858687

Morphological studies suggest that the major pathogen causing basal stem rot of oil palm in Papua New Guinea and Solomon Islands is Ganoderma boninense. This study presents the first evidence for conspecificity of G. boninense from four countries where basal stem rot is prevalent. Seventy-three dikaryotic isolates of Ganoderma boninense from Indonesia, Malaysia, Papua New Guinea, and Solomon Islands were studied via mating tests, analyses of nuc internal transcribed spacer ITS1-5.8S-ITS2 sequences, and microsatellite genotyping. Sequence similarity in the ITS1-5.8S-ITS2 region was >99%, and all exotic isolates successfully mated with Papua New Guinea tester strains. Transfer of nuclei during mating was also confirmed via microsatellite markers for the first time in this species. Four microsatellite primers were used to generate evidence for 33 alleles in the four populations. All isolates studied had unique genetic fingerprints but alleles were also shared, suggesting gene flow. Heterozygosities were lower than expected in Indonesian and Papua New Guinea populations, consistent with the possibility of localized inbreeding.

Matched MeSH terms: Plant Diseases
Late blight in tomato: insights into the pathogenesis of the aggressive pathogen Phytophthora infestans and future research priorities

Mazumdar P, Singh P, Kethiravan D, Ramathani I, Ramakrishnan N

Planta, 2021 May 08;253(6):119.
PMID: 33963935 DOI: 10.1007/s00425-021-03636-x

MAIN CONCLUSION: This review provides insights into the molecular interactions between Phytophthora infestans and tomato and highlights research gaps that need further attention. Late blight in tomato is caused by the oomycota hemibiotroph Phytophthora infestans, and this disease represents a global threat to tomato farming. The pathogen is cumbersome to control because of its fast-evolving nature, ability to overcome host resistance and inefficient natural resistance obtained from the available tomato germplasm. To achieve successful control over this pathogen, the molecular pathogenicity of P. infestans and key points of vulnerability in the host plant immune system must be understood. This review primarily focuses on efforts to better understand the molecular interaction between host pathogens from both perspectives, as well as the resistance genes, metabolomic changes, quantitative trait loci with potential for improvement in disease resistance and host genome manipulation via transgenic approaches, and it further identifies research gaps and provides suggestions for future research priorities.

Matched MeSH terms: Plant Diseases
Fulltext Ganoderma boninense Disease Detection by Near-Infrared Spectroscopy Classification: A Review

Mohd Hilmi Tan MIS, Jamlos MF, Omar AF, Dzaharudin F, Chalermwisutkul S, Akkaraekthalin P

Sensors (Basel), 2021 Apr 27;21(9).
PMID: 33925576 DOI: 10.3390/s21093052

Ganoderma boninense (G. boninense) infection reduces the productivity of oil palms and causes a serious threat to the palm oil industry. This catastrophic disease ultimately destroys the basal tissues of oil palm, causing the eventual death of the palm. Early detection of G. boninense is vital since there is no effective treatment to stop the continuing spread of the disease. This review describes past and future prospects of integrated research of near-infrared spectroscopy (NIRS), machine learning classification for predictive analytics and signal processing towards an early G. boninense detection system. This effort could reduce the cost of plantation management and avoid production losses. Remarkably, (i) spectroscopy techniques are more reliable than other detection techniques such as serological, molecular, biomarker-based sensor and imaging techniques in reactions with organic tissues, (ii) the NIR spectrum is more precise and sensitive to particular diseases, including G. boninense, compared to visible light and (iii) hand-held NIRS for in situ measurement is used to explore the efficacy of an early detection system in real time using ML classifier algorithms and a predictive analytics model. The non-destructive, environmentally friendly (no chemicals involved), mobile and sensitive leads the NIRS with ML and predictive analytics as a significant platform towards early detection of G. boninense in the future.

Matched MeSH terms: Plant Diseases
Introgression of blast resistance genes into the elite rice variety MR263 through marker-assisted backcrossing

Hasan MM, Rafii MY, Ismail MR, Mahmood M, Alam MA, Abdul Rahim H, et al.

J Sci Food Agric, 2016 Mar 15;96(4):1297-305.
PMID: 25892666 DOI: 10.1002/jsfa.7222

Blast caused by the fungus Magnaporthe oryzae is a significant disease threat to rice across the world and is especially prevalent in Malaysia. An elite, early-maturing, high-yielding Malaysian rice variety, MR263, is susceptible to blast and was used as the recurrent parent in this study. To improve MR263 disease resistance, the Pongsu Seribu 1 rice variety was used as donor of the blast resistance Pi-7(t), Pi-d(t)1 and Pir2-3(t) genes and qLN2 quantitative trait locus (QTL). The objective was to introgress these blast resistance genes into the background of MR263 using marker-assisted backcrossing with both foreground and background selection.

Matched MeSH terms: Plant Diseases/genetics*; Plant Diseases/microbiology*; Plant Diseases/prevention & control
Fulltext Understanding the Quorum-Sensing Bacterium Pantoea stewartii Strain M009 with Whole-Genome Sequencing Analysis

Tan WS, Chang CY, Yin WF, Chan KG

Genome Announc, 2015;3(1).
PMID: 25635007 DOI: 10.1128/genomeA.01509-14

Pantoea stewartii is known to be the causative agent of Stewart's wilt, which usually affects sweet corn (Zea mays) with the corn flea beetle as the transmission vector. In this work, we present the whole-genome sequence of Pantoea stewartii strain M009, isolated from a Malaysian tropical rainforest waterfall.

Matched MeSH terms: Plant Diseases

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