Stripe rust, induced by Puccinia striiformis f. sp. tritici, is the most harmful and prevalent disease in temperate regions worldwide, affecting wheat production areas globally. An effective strategy for controlling the disease involves enhancing genetic resistance against stripe rust, achieved through Egyptian breeding efforts not previously conducted on wheat genotypes. The resistance level to stripe rust in thirty-eight wheat genotypes was assessed using marker-assisted selection methods. The investigation suggests that wheat breeding programs can utilize slow-rusting Yr genes, which are effective resistance genes, to develop novel genotypes with stripe rust resistance through marker-assisted breeding. Based on the four disease responses of the wheat genotypes under investigation, the results categorized the genotypes into three groups. The first group included resistant genotypes, the second group exhibited a slow-rusting character with the lowest disease symptom rates, and the last group displayed the highest disease characteristics rates throughout the three seasons, comprising fast-rusting genotypes. The rust-resistant genes identified were Yr5, Yr9, Yr10, Yr15, Yr17, Yr18, Yr26, Yr29, Yr30, and Yr36. Genes Yr26, Yr30, and Yr36 were present in all genotypes. Genotypes Misr3, Misr4, Giza168, Giza167, Giza170, Giza171, Gemmeiza9, and Gemmeiza10 carried the Yr9 gene. Only one genotype, Sids13, was found to have the Yr17 gene. Genes Yr18 and Yr29 were identified in Sids14, Giza168, Giza170, Gemmeiza9, and Gemmeiza10. However, none of the wheat genotypes showed the presence of Yr5, Yr10, or Yr15. Several backcrossing generations were conducted to introduce the Yr5 and Yr10 genes into susceptible genotypes (Misr1, Misr2, and Gemmeiza11). These genotypes are cultivated globally and are known for producing high-quality flour, making them of great importance to farmers. The study demonstrates significant potential for enhancing wheat genotypes for stripe rust resistance and increased production.

In past few years, salinity has become one of the important abiotic stresses in the agricultural fields due to anthropogenic activities. Salinity is leading towards yield losses due to soil infertility and increasing vulnerability of crops to diseases. Fluorescent pseudomonads are a diverse group of soil microorganisms known for promoting plant growth by involving various traits including protecting crops from infection by the phytopathogens. In this investigation, salt tolerant plant growth promoting bacterium Pseudomonas hunanensis SPT26 was selected as an antagonist against Fusarium oxysporum, causal organism of fusarium wilt in tomato. P. hunanensis SPT26 was found capable to produce various antifungal metabolites. Characterization of purified metabolites using Fourier transform infrared spectroscopy (FT-IR) and liquid chromatography-electron spray ionization-mass spectrometry (LC-ESI/MS) showed the production of various antifungal compounds viz., pyrolnitrin, pyochelin and hyroxyphenazine by P. hunanensis SPT26. In the preliminary examination, biocontrol activity of purified antifungal metabolites was checked by dual culture method and results showed 68%, 52% and 65% growth inhibition by pyrolnitrin, 1- hydroxyphenazine and the bacterium (P. hunanensis SPT26) respectively. Images from scanning electron microscopy (SEM) revealed the damage to the mycelia of fungal phytopathogen due to production of antifungal compounds secreted by P. hunanensis SPT26. Application of bioinoculant of P. hunanensis SPT26 and purified metabolites significantly decreased the disease incidence in tomato and increased the plant growth parameters (root and shoot length, antioxidant activity, number of fruits per plant, etc.) under saline conditions. The study reports a novel bioinoculant formulation with the ability to promote plant growth parameters in tomato in presence of phytopathogens even under saline conditions.

Many virus genomes encode proteases that facilitate infection. The molecular mechanism of plant recognition of viral proteases is largely unexplored. Using the system of Vigna unguiculata and cowpea mosaic virus (CPMV), we identified a cowpea lipid transfer protein (LTP1) which interacts with CPMV-encoded 24KPro, a cysteine protease, but not with the enzymatically inactive mutant 24KPro(C166A). Biochemical assays showed that LTP1 inhibited 24KPro proteolytic cleavage of the coat protein precursor large coat protein-small coat protein. Transient overexpression of LTP1 in cowpea reduced CPMV infection, whereas RNA interference-mediated LTP1 silencing increased CPMV accumulation in cowpea. LTP1 is mainly localized in the apoplast of uninfected plant cells, and after CPMV infection, most of the LTP1 is relocated to intracellular compartments, including chloroplast. Moreover, in stable LTP1-transgenic Nicotiana benthamiana plants, LTP1 repressed soybean mosaic virus (SMV) nuclear inclusion a protease activity, and accumulation of SMV was significantly reduced. We propose that cowpea LTP1 suppresses CPMV and SMV accumulation by directly inhibiting viral cysteine protease activity.

CONCLUSIONS: This study provided a non-destructive detection method with Vis-NIR hyperspectral imaging combining with physio-biochemical parameters in Helianthus annuus in response to Orobanche cumana infection that took insights into the monitoring of sunflower weed. Sunflower broomrape (Orobanche cumana Wallr.) is an obligate weed that attaches to the host roots of sunflower (Helianthus annuus L.) leading to a significant reduction in yield worldwide. The emergence of O. cumana shoots after its underground life-cycle causes irreversible damage to the crop. In this study, a fast visual, non-invasive and precise method for monitoring changes in spectral characteristics using visible and near-infrared (Vis-NIR) hyperspectral imaging (HSI) was developed. By combining the bands sensitive to antioxidant enzymes (SOD, GR), non-antioxidant enzymes (GSH, GSH + GSSG), MDA, ROS (O2-, OH-), PAL, and PPO activities obtained from the host leaves, we sought to establish an accurate means of assessing these changes and conducted imaging acquisition using hyperspectral cameras from both infested and non-infested sunflower cultivars, followed by physio-biochemical parameters measurement as well as analyzed the expression of defense related genes. Extreme learning machine (ELM) and convolutional neural network (CNN) models using 3-band images were built to classify infected or non-infected plants in three sunflower cultivars, achieving accuracies of 95.83% and 95.83% for the discrimination of infestation as well as 97.92% and 95.83% of varieties, respectively, indicating the potential of multi-spectral imaging systems for early detection of O. cumana in weed management.

The Puccinia graminis f. sp. tritici (Pgt) Ug99-emerging virulent races present a major challenge to global wheat production. To meet present and future needs, new sources of resistance must be found. Identification of markers that allow tracking of resistance genes is needed for deployment strategies to combat highly virulent pathogen races. Field evaluation of a DH population located a QTL for stem rust (Sr) resistance, QSr.nc-6D from the breeding line MD01W28-08-11 to the distal region of chromosome arm 6DS where Sr resistance genes Sr42, SrCad, and SrTmp have been identified. A locus for seedling resistance to Pgt race TTKSK was identified in a DH population and an RIL population derived from the cross AGS2000 × LA95135. The resistant cultivar AGS2000 is in the pedigree of MD01W28-08-11 and our results suggest that it is the source of Sr resistance in this breeding line. We exploited published markers and exome capture data to enrich marker density in a 10 Mb region flanking QSr.nc-6D. Our fine mapping in heterozygous inbred families identified three markers co-segregating with resistance and delimited QSr.nc-6D to a 1.3 Mb region. We further exploited information from other genome assemblies and identified collinear regions of 6DS harboring clusters of NLR genes. Evaluation of KASP assays corresponding to our co-segregating SNP suggests that they can be used to track this Sr resistance in breeding programs. However, our results also underscore the challenges posed in identifying genes underlying resistance in such complex regions in the absence of genome sequence from the resistant genotypes.

BACKGROUND: Root-lesion nematodes (RLN) are the most economically important pathogenic nematodes attacking maize. Significant economic losses due to lesion nematodes have been reported in maize producing countries in the world.
RESULTS: This study was conducted to determine the distribution and identity of root-lesion nematodes (Pratylenchus spp.) (Tylenchida: Hoplolaimidae) in maize (Zea mays L.) (Poales: Poaceae) fields of the Black Sea region of Türkiye. For this purpose, 39 locations were surveyed and soil samples were taken from 17 regional provinces. Nematodes were extracted using the modified Baerman funnel technique. The species were identified based on sequences of the Internal Transcribed Spacer (ITS) region of ribosomal DNA, as well as morphological characters and morphometrics. In addition, species identifications were confirmed using species-specific primers in the D3 expansion region of 26 S rDNA. At the end of the study, 51.3% of the maize production areas sampled in the region were infected with root-lesion nematode species. Pratylenchus agilis, P. mediterraneus, P. neglectus, P. penetrans, P. thornei, and P. vulnus were identified, and were present in 25%, 5%, 25%, 10%, 15%, and 20% of samples, respectively. To our knowledge, this is the first report of P. agilis in Türkiye.
CONCLUSIONS: The present study concluded that the molecular analysis of Pratylenchus sequences based on the ITS and D3 region of ribosomal RNA genes allowed the identification of six root lesion nematode species. This study is of great importance in terms of adding additional species to the root-lesion nematode fauna in Turkey and will provide data for future research on the management of these nematodes.

The genus Phytophthora contains more than 100 plant pathogenic species that parasitize a wide range of plants, including economically important fruits, vegetables, cereals, and forest trees, causing significant losses. Global agriculture is seriously threatened by fungicide resistance in Phytophthora species, which makes it imperative to fully comprehend the mechanisms, frequency, and non-chemical management techniques related to resistance mutations. The mechanisms behind fungicide resistance, such as target-site mutations, efflux pump overexpression, overexpression of target genes and metabolic detoxification routes for fungicides routinely used against Phytophthora species, are thoroughly examined in this review. Additionally, it assesses the frequency of resistance mutations in various Phytophthora species and geographical areas, emphasizing the rise of strains that are resistant to multiple drugs. The effectiveness of non-chemical management techniques, including biological control, host resistance, integrated pest management plans, and cultural practices, in reducing fungicide resistance is also thoroughly evaluated. The study provides important insights for future research and the development of sustainable disease management strategies to counter fungicide resistance in Phytophthora species by synthesizing current information and identifying knowledge gaps.

The family Convolvulaceae comprises approximately 50-60 genera with approximately 1600-1700 species, exhibiting a rich diversity of morphological characteristics and occupying a broad range of ecological habitats. High-throughput sequencing identified a tentative new virus in the family Geminiviridae infecting Calystegia sepium var. japonica in South Korea. The 2,706 nt long genome comprises six open reading frames (ORFs). The analysis of the nucleotide sequence of the genome and the putative amino acid sequences of ORFs indicated that the virus was closely related to the members of the family Geminiviridae. The genome organization of the virus was similar to that of members of the genus Topilevirus in terms of the number of ORFs and splicing signal. However, the virus, tentatively named bindweed mottle virus (BWMV), may not be assigned to current genera into the family Geminiviridae.

Here, we characterized a novel mitovirus from the fungus Nigrospora oryzae, which was named \"Nigrospora oryzae mitovirus 3\" (NoMV3). The NoMV3 genome is 2,492 nt in length with a G + C content of 33%, containing a single large open reading frame (ORF) using the fungal mitochondrial genetic code. The ORF encodes an RNA-dependent RNA polymerase (RdRp) of 775 amino acids with a molecular mass of 88.75 kDa. BLASTp analysis revealed that the RdRp of NoMV3 had 68.6%, 50.6%, and 48.6% sequence identity to those of Nigrospora oryzae mitovirus 2, Suillus luteus mitovirus 6, and Fusarium proliferatum mitovirus 3, respectively, which belong to the genus Unuamitovirus within the family Mitoviridae. Phylogenetic analysis based on amino acid sequences supported the classification of NoMV3 as a member of a new species in the genus Unuamitovirus within the family Mitoviridae.

Rice is the main staple food crops for the Malaysian population. Rice is also susceptible to bakanae diseases caused by some Fusarium species and reducing yield, and quality of rice also profit. In this study, several rice fields were surveyed to collect Fusarium isolates associated with bakanae disease. The morphological features of Fusarium andiyazi isolates found on infected rice plants were identified in this investigation. For biological species identification, MAT-1 (Mating type idiomorphs) bearing isolates were crossed with MAT-2 isolates. Crossing was succeeded between cross of two different mating type bearing field isolates. Consequently, there is a possibility of exchange of genetic material within the F. andiyazi population in Malaysia. The identity of the isolates was further determined up to the species level by comparing DNA sequences and phylogenetic analysis of two genes. The phylogenetic analyses of the joined dataset of translation elongation factor 1-alpha (TEF1-α) and RNA polymerase subunit II (RPB2) revealed that all the isolates were F. andiyazi. In pathogenicity tests, F. andiyazi were found to be pathogenic on the susceptible rice cultivars MR211 and MR220. Inoculated rice seedling produced typical bakanae symptom like elongation, thin and yellow leaves. F. andiyazi was further confirmed as pathogenic species by Ultra High-Performance Liquid Chromatography (UPLC) detection of Gibberellic acid (GA3) and Fusaric acid. In this study, F. andiyazi strains have been identified as the responsible pathogen for causing rice bakanae disease in Malaysia and it is the first report of F. andiyazi, as a pathogenic species on rice in Malaysia.