Pathogenic Variability Research Articles

The hidden costs of resistance: Contrasting the energetics of successfully and unsuccessfully fighting infection

Abstract Exposure to a pathogen is predicted to lead to increased energy use as hosts attempt to activate a costly immune system and repair damaged tissue. To meet this demand, metabolic rates, which capture the rate at which a host can use, transform and expend energy, are expected to increase. Yet for many host–pathogen systems, metabolic rates after encountering a pathogen are just as likely to decrease as increase, suggesting that increased energy expenditure may not always be best for fighting infection. Diverging metabolic trajectories have been previously attributed to the different pathways that specific pathogen classes, such as bacteria or viruses, induce in a host. Here, we test how the magnitude and direction of metabolic change following pathogen exposure might also depend on whether a host has cleared infection or is instead fighting to reduce pathogen burden, as well as interactions between host and pathogen genotypes of a single host–pathogen system. Using a model system, Daphnia magna and its bacterial pathogen, we quantified changes in mass‐independent metabolic rates over a 30‐day period for multiple host and pathogen genotypes. We found that the metabolic trajectory of an exposed host diverged quickly during the infection process. For hosts that were exposed to a pathogen and resisted infection, their mass‐independent metabolic rates remained suppressed long after exposure, leading to a sustained reduction in total energy use compared to unexposed animals. The reverse was true for hosts in which the pathogen was able to establish an infection. Underlying these changes were differences in the energetic burden that each pathogen genotype imposed on its host, as well as changes in the way host genotype and the outcome of infection shaped underlying scaling relationships between host body mass and metabolic rates. Our results demonstrate how variation in an organism's metabolic rate and overall energy use can arise from within a single host–pathogen encounter and depend on the likelihood of pathogen clearance, as well as the within‐species genetic variability of both hosts and pathogens. Read the free Plain Language Summary for this article on the Journal blog.

Impact of duck astrovirus on susceptibility to infection across duck ages

An outbreak of duck astrovirus (DAstV) has occurred in duck farming regions of China, causing substantial economic setbacks in the duck industry. This investigation aimed to examine the variations in DAstV pathogenicity among ducks at different age intervals. Infections were induced in ducks at distinct age groups (1, 7, 14, 21, and 28 d) utilizing the DAstv-1-GDB-2022 strain. The results indicate increased pathogenicity of the DAstv-1-GDB-2022 strain in ducklings aged 21 to 28 d, manifesting as liver and kidney enlargement, severe bleeding, and potential fatalities. Conversely, ducklings aged 1 and 14 d displayed milder symptoms postinfection. Notably, viral shedding continued in ducks of diverse age groups even 21 d postinfection (Dpi). Moreover, DAstV replicates in various tissues, predominantly affecting the liver. Immunohistochemical tests using rabbit anti-DAstV antibodies revealed robust positive signals in both the liver and kidneys, which correlated with the clinical symptom severity observed through macroscopic and microscopic examinations. Serum biochemical assays and indirect ELISA demonstrated a consistent response to DAstV infection across different age groups, with older ducklings exhibiting increased sensitivity. In conclusion, this study successfully replicated clinical symptoms similar to those of natural DAstV infection using the DAstv-1-GDB-2022 strain. Importantly, we systematically delineated the differences in susceptibility to DAstV among ducks at various ages, laying the foundation for further research into the pathogenic mechanisms of DAstV and potential vaccine development.

Variations in Morpho-Cultural Characteristics and Pathogenicity of Fusarium moniliforme of Bakanae Disease of Rice and Evaluation of In Vitro Growth Suppression Potential of Some Bioagents

Bakanae is one of the important diseases of rice in Bangladesh that causes substantial yield loss every year. We collected thirty isolates of Fusarium spp. from bakanae-infected rice plants from different agroecological zones of Bangladesh and investigated the variations in cultural and morphological characteristics and pathogenicity. Diversity was found in cultural characteristics, viz., colony features, phialide, chlamydospore formation, shape, and size of macro- and microconidia. Three variants of Fusarium species such as F. moniliforme, F. fujikuroi, and F. proliferatum were identified on PDA media based on their cultural and morphological characteristics. Isolate FM10 (F. moniliforme) exhibited the highest disease aggressiveness in developing elongated plants (26.50 cm), the highest number of chlorotic leaves (5.75), and a lower germination percentage. We evaluated different bioagents against the virulent isolate of F. moniliforme to develop a rice bakanae disease management approach. Four bioagents, viz., Trichoderma spp., Bacillus subtilis, Pseudomonas fluorescens, and Achromobacter spp., were evaluated for growth suppression of F. moniliforme. Among the bioagents, Achromobacter spp. and B. subtilis (BS21) showed 73.54% and 71.61% growth suppression, respectively. The investigation revealed that the application of Achromobacter spp. and B. subtilis (BS21) would be a potential candidate for effective and eco-friendly management of the bakanae disease of rice.

Genetic and Pathogenic Variability among Isolates of Sporisorium reilianum Causing Sorghum Head Smut.

Sporisorium reilianum, the causal agent of sorghum (Sorghum bicolor (L.) Moench) head smut, is present in most sorghum-producing regions. This seed replacement fungal disease can reduce yield by up to 80% in severely infected fields. Management of this disease can be challenging due to the appearance of different pathotypes within the pathogenic population. In this research, the genetic variability and pathogenicity of isolates collected from five Texas Counties was conducted. Due to the lack of available space, 21 out of 32 sequenced isolates were selected and evaluated for virulence patterns on the six sorghum differentials, Tx7078, BTx635, SC170-6-17 (TAM2571), SA281 (Early Hegari), Tx414, and BTx643. The results reveal the occurrence of a new pathotype, 1A, and four previously documented US pathotypes when the 21 isolates were evaluated for virulence patterns on the differentials. The most prevalent was pathotype 5, which was recovered from Brazos, Hidalgo, Nueces, and Willacy Counties, Texas. This pathotype was followed by 1A and 6 in frequency of recovery. Pathotype 4 was identified only from isolates collected from Hidalgo County, while pathotype 1 was from Burleson County, Texas. It appeared that the previous US head smut pathotypes (2 and 3) are no longer common, and the new pathotypes, 1A, 5, and 6, are now predominant. The phylogenetic tree constructed from the single-nucleotide polymorphism (SNP) data through the neighbor-joining method showed high genetic diversity among the tested isolates. Some of the diverse clades among the tested isolates were independent of their sampled locations. Notably, HS37, HS49, and HS65 formed a clade and were classified as 1A in the virulence study, while HS 61 and HS 66, which were collected from Nueces County, were grouped and identified as pathotype 5.

Morphological and phylogenetic analyses reveal three new species of Fusarium (Hypocreales, Nectriaceae) associated with leaf blight on Cunninghamialanceolata in China.

Chinese fir (Cunninghamialanceolata) is a special fast-growing commercial tree species in China with high economic value. In recent years, leaf blight disease on C.lanceolata has been observed frequently. The diversity of Fusarium species associated with leaf blight on C.lanceolata in China (Fujian, Guangxi, Guizhou, and Hunan provinces) was evaluated using morphological study and molecular multi-locus analyses based on RNA polymerase second largest subunit (RPB2), translation elongation factor 1-alpha (TEF-1α), and RNA polymerase largest subunit (RPB1) genes/region as well as the pairwise homoplasy index tests. A total of five Fusarium species belonging to four Fusarium species complexes were recognized in this study. Two known species including Fusariumconcentricum and F.fujikuroi belonged to the F.fujikuroi species complex, and three new Fusarium species were described, i.e., F.fujianense belonged to the F.lateritium species complex, F.guizhouense belonged to the F.sambucinum species complex, and F.hunanense belonged to the F.solani species complex. To prove Koch's postulates, pathogenicity tests on C.lanceolata revealed a wide variation in pathogenicity and aggressiveness among the species, of which F.hunanense HN33-8-2 caused the most severe symptoms and F.fujianense LC14 led to the least severe symptoms. To our knowledge, this study also represented the first report of F.concentricum, F.fujianense, F.fujikuroi, F.guizhouense, and F.hunanense causing leaf blight on C.lanceolata in China.

Wheat Stem Rust Surveillance Reveals Two New Races of Puccinia graminis f. sp. tritici in South Africa During 2016 to 2020.

Stem rust, caused by Puccinia graminis f. sp. tritici (Pgt), is an important disease of wheat in South Africa (SA) and is primarily controlled using resistant cultivars. Understanding virulence diversity of Pgt is essential for successful breeding of resistant cultivars. Samples of infected wheat stems were collected across the major wheat-growing regions of SA from 2016 to 2020 to determine the pathogenic variability of Pgt isolates. Seven races were identified from 517 isolates pathotyped. The most frequently found races were 2SA104 (BPGSC + Sr9h,27,Kw) (35% frequency) and 2SA88 (TTKSF + Sr8b) (33%). Race 2SA42 (PTKSK + Sr8b), which was found in 2017, and 2SA5 (BFGSF + Sr9h), identified in 2017, are new races. The Ug99 variant race 2SA42 is similar in its virulence to 2SA107 (PTKST + Sr8b) except for avirulence to Sr24 and virulence to Sr8155B1. Race 2SA5 is closely related in its virulence to existing races that commonly infect triticale. Certain races showed limited geographical distribution. Races 2SA5, 2SA105, and 2SA108 were found only in the Western Cape, whereas 2SA107 and 2SA42 were detected only in the Free State province. The new and existing races were compared using microsatellite (SSR) marker analysis and their virulence on commercial cultivars was also determined. Seedling response of 113 wheat entries against the new races, using 2SA88, 2SA88+9h, 2SA106, and 2SA107 as controls, revealed 2SA107 as the most virulent (67 entries susceptible), followed by 2SA42 (64), 2SA106 (60), 2SA88+9h (59), 2SA88 (25), and 2SA5 (17). Thus, 2SA5 may not pose a significant threat to local wheat production. SSR genotyping revealed that 2SA5 is genetically distinct from all other SA Pgt races.

The Role of Curcumin in Gastric Carcinoma by Modulating the Immune System and its SAR

The second most prevalent cancer in the world and the fifth most common malignant tumour is gastric carcinoma. It is thought that several factors, including genetics, epigenetics, and environmental impacts, contribute to the development of gastric cancer. One of the main pathogenic variables associated with stomach cancer risk has been identified as inflammation. There are currently few methods to treat the gastric carcinoma. Therefore, an alternative plan is urgently needed. Explaining the importance of curcumin derived from Curcuma longa Linn. in stomach cancer is the goal of this review. According to recent research, Curcumin (CUR) has a great effect against stomach mucosal injury brought on by non-steroidal anti-inflammatory medicines, gastric mucosal injury in rats, stress haemorrhage, and Helicobacter pylori infection. In this review article, we have discussed the chemistry of CUR, the role of CUR in immunomodulation, and gastric cancer. We have also highlighted the various signalling pathway of gastric cancer where CUR work. By controlling miRNAs on gastric cancer and other relevant signal pathways, CUR exhibits notable anti-inflammatory and anti-cancer properties. In future there are more research work will be done on CUR.

Disease Surveillance and Pathogenic Variability of Ascochyta Rabiei causing Blight of Chickpea in Punjab Pakistan

Chickpea is an important legume crop and plays a significant role in global food security. Production is affected by many biotic and abiotic factors. The most significant biotic factor, Ascochyta rabiei is a fungal pathogen that causes Ascochyta blight in chickpeas, leading to substantial yield losses globally and is the primary cause in Pakistan. This pathogen causes heavy yield losses annually in the chickpea industry. The knowledge of the pathogenic variability of A. rabiei isolates can significantly impact the effectiveness of blight disease management strategies. A survey was conducted to collect blight samples to assess the pathogenic variability of A. rabiei isolates from different chickpea-growing regions of Punjab. The disease incidence and severity data were recorded using the quadrat square method in the fields. After isolation and purification, the pathogenicity test was conducted for conformation of the isolates. The virulence of ten isolates of A. rabiei was analyzed on six differential chickpea genotypes under artificial inoculation conditions in the glasshouse. The differential genotypes showed different levels of resistance and susceptibility to the isolates. Based on the reactions, the population of A. rabiei was grouped into different groups using a 1-9 rating scale. Only two isolates, BKR-01 and LAY-01, produced a high virulent effect against six germplasm. These isolates were collected from the Bhakkar and Layyah. The isolate MTN-1 were categorised as the least virulent. At the same time, the remaining isolates showed a moderate level of reaction.

Foodborne Pathogen Dynamics in Meat and Meat Analogues Analysed Using Traditional Microbiology and Metagenomic Sequencing.

Meat analogues play an increasing role in meeting global nutritional needs. However, while it is well known that meat possesses inherent characteristics that create favourable conditions for the growth of various pathogenic bacteria, much less is known about meat analogues. This study aimed to compare the growth and survival of Escherichia coli HEHA16, Listeria monocytogenes, Salmonella enterica Typhi, Cronobacter sakazakii, and a cocktail of these bacteria in sterile juices from minced chicken, pig, and beef, as well as pea-based and soy-based minced meat. Traditional microbiology and next-generation sequencing of those metagenomes were employed to analyse the pathogen variability, abundance, and survival after an incubation period. Our findings show that all the meat juices provided favourable conditions for the growth and proliferation of the studied bacteria, with the exception of E. coli HEHA16, which showed lower survival rates in the chicken matrix. Meat analogue juice mainly supported L. monocytogenes survival, with C. sakazakii survival supported to a lesser extent. A correlation was observed between the traditional culturing and metagenomic analysis results, suggesting that further work is needed to compare these technologies in foodborne setups. Our results indicate that plant-based meats could serve as vectors for the transmission of certain, but likely not all, foodborne pathogens, using two accurate detection methods. This warrants the need for additional research to better understand and characterise their safety implications, including their potential association with additional pathogens.

Differential aggressiveness of Austropuccinia psidii isolates from guava and rose apple upon cross‐inoculation

AbstractMyrtle rust, caused by Austropuccinia psidii, has been associated with more than 480 plant species belonging to the family Myrtaceae. Intraspecific variability in pathogenicity has been reported among isolates of A. psidii from different hosts. However, there are few studies that have comparatively quantified the disease in guava (Psidium guajava) and rose apple (Syzygium jambos). The objective of this work was to quantify the pathogenic variability of A. psidii isolates collected from guava and rose apple in Brazil and to investigate the mechanisms of infection and colonization of the pathogen at the cellular level. The monocyclic components of the rust disease were evaluated on young leaves of rose apple and guava plants cross‐inoculated with isolates from rose apple and guava. Pathogenic specialization of both A. psidii isolates for their respective hosts was confirmed in this work. The guava A. psidii isolate was able to infect and colonize rose apple leaf tissues but no sporulation occurred. Similarly, the rose apple A. psidii isolate infected guava plants but did not sporulate. Confocal laser scanning microscopy revealed that lobed haustoria were present within rose apple leaves at 2 days post‐inoculation (dpi) with both isolates, which resulted in intense mesophyll colonization for both interactions at 9 dpi. The latter is remarkable because infection of rose apple with the guava A. psidii isolate did not result in mature rust pustules.

Mathematical Modeling of the Lethal Synergism of Coinfecting Pathogens in Respiratory Viral Infections: A Review.

Influenza A virus (IAV) infections represent a substantial global health challenge and are often accompanied by coinfections involving secondary viruses or bacteria, resulting in increased morbidity and mortality. The clinical impact of coinfections remains poorly understood, with conflicting findings regarding fatality. Isolating the impact of each pathogen and mechanisms of pathogen synergy during coinfections is challenging and further complicated by host and pathogen variability and experimental conditions. Factors such as cytokine dysregulation, immune cell function alterations, mucociliary dysfunction, and changes to the respiratory tract epithelium have been identified as contributors to increased lethality. The relative significance of these factors depends on variables such as pathogen types, infection timing, sequence, and inoculum size. Mathematical biological modeling can play a pivotal role in shedding light on the mechanisms of coinfections. Mathematical modeling enables the quantification of aspects of the intra-host immune response that are difficult to assess experimentally. In this narrative review, we highlight important mechanisms of IAV coinfection with bacterial and viral pathogens and survey mathematical models of coinfection and the insights gained from them. We discuss current challenges and limitations facing coinfection modeling, as well as current trends and future directions toward a complete understanding of coinfection using mathematical modeling and computer simulation.

A data-driven epidemic model with human mobility and vaccination protection for COVID-19 prediction

Epidemiological models allow for quantifying the dynamic characteristics of large-scale outbreaks. However, capturing detailed and accurate epidemiological information often requires consideration of multiple kinetic mechanisms and parameters. Due to the uncertainty of pandemic evolution, such as pathogen variation, host immune response and changes in mitigation strategies, the parameter evaluation and state prediction of complex epidemiological models are challenging. Here, we develop a data-driven epidemic model with a generalized SEIR mechanistic structure that includes new compartments, human mobility and vaccination protection. To address the issue of model complexity, we embed the epidemiological model dynamics into physics-informed neural networks (PINN), taking the observed series of time instances as direct input of the network to simultaneously infer unknown parameters and unobserved dynamics of the underlying model. Using actual data during the COVID-19 outbreak in Australia, Israel, and Switzerland, our model framework demonstrates satisfactory performance in multi-step ahead predictions compared to several benchmark models. Moreover, our model infers time-varying parameters such as transmission rates, hospitalization ratios, and effective reproduction numbers, as well as calculates the latent period and asymptomatic infection count, which are typically unreported in public data. Finally, we employ the proposed data-driven model to analyze the impact of different mitigation strategies on COVID-19.

Molecular epidemiology and virulence of goose astroviruses genotype-2 with different internal gene sequences.

Goose astrovirus (GAstV) is a small, non-enveloped, single-stranded, positive-sense RNA virus. GAstV has rapidly spread across various regions in China since 2016. In Sichuan, out of 113 samples were collected from goose diseases between 2019 and 2022, 97 were positive for GAstV through PCR testing. Remarkably, over the past three years, GAstV outbreak in Sichuan has accounted for an astonishing 85.8% of all goose-origin viruses. Among these cases, 63.9% had single GAstV infections, 29.9% had dual infections, and 6.2% had quadruple infections. To comprehend the variations in virulence among distinct strains of GAstV. 12 representative strains of single GAstV infections were isolated. These strains exhibited distinct characteristics, such as prominent white urate depositions in organs and joints, as well as extensive tissues phagocytosis in major target organs' tissues. The conserved ORF1b genes and the variable ORF2 genes of these representative GAstV strains were sequenced, enabling the establishment of phylogenetic trees for GAstV. All GAstV strains were identified as belonging to genotype-2 with varying internal gene sequences. Experiments were conducted on GAstV genotype-2, both in vivo and in vitro, revealed significant variations in pathogenicity and virulence across susceptible cells, embryos, and goslings. This comprehensive study enhances researchers' understanding of the transmission characteristics and virulence of GAstV genotype-2, aiding in a better comprehension of their molecular epidemiology and pathogenic mechanism.

Prevalence of groundnut dry root rot (Macrophomina phaseolina (Tassi) Goid.) and its pathogenic variability in Southern India.

Macrophomina phaseolina is the most devastating and emerging threat to groundnut production in India. An increase in average temperature and inconsistent rainfalls resulting from changing climatic conditions are strongly believed to aggravate the disease and cause severe yield losses. The present study aims to conduct a holistic survey to assess the prevalence and incidence of dry root rot of groundnut in major groundnut growing regions of Southern India, viz., Andhra Pradesh, Telangana, Karnataka, and Tamil Nadu. Furthermore, the pathogenic variability was determined using different assays such as morphological, cultural, pathogenic, and molecular assays. Results indicate that disease incidence in surveyed locations ranged from 8.06 to 20.61%. Both temperature and rainfall played a major role in increasing the disease incidence. The pathogenic variability of M. phaseolina isolates differed significantly, based on the percent disease incidence induced on cultivars of JL-24 groundnut and K-6 groundnut. Morphological variations in terms of growth pattern, culture color, sclerotia number, and sclerotia size were observed. The molecular characterization of M. phaseolina isolates done by ITS rDNA region using ITS1 and ITS4 primers yielded approximately 600 bp PCR amplicons, sequenced and deposited in GenBank (NCBI). Molecular variability analysis using SSR primers indicated the genetic variation among the isolates collected from different states. The present investigation revealed significant variations in pathogenic variability among isolates of M. phaseolina and these may be considered important in disease management and the development of resistant cultivars against groundnut dry root rot disease.

Mutating Escherichia coli caused multiple organ dysfunction syndrome

AbstractPathogenic Escherichia coli is of great concern in the clinical setting. But few reports have demonstrated the variation in disease course. We present a severe case of multiple organ dysfunction syndrome caused by E. coli infection. Pathogens isolated from blood and urine samples harboured many virulence factors. Whole‐genome sequencing and conventional analyses showed that the isolates experienced beneficial variations, both genetically and phenotypically, during the disease course. These findings showed that E. coli can cause systemic symptoms and informed us of the importance of assessing the reasons for such variations in pathogens occurring in vivo.

Erratum to: Application of Mixtures of Chemical and Biocontrol Agents Against Anthracnose (Colletotrichum gloeosporioides) of Citrus and Pathogen Variability in Local Zone

Erratum to: Application of Mixtures of Chemical and Biocontrol Agents Against Anthracnose (Colletotrichum gloeosporioides) of Citrus and Pathogen Variability in Local Zone

Flexible changes to the Heliothis virescens ascovirus 3h (HvAV-3h) virion components affect pathogenicity against different host larvae species

ABSTRACT The pathogenicity of a virus to a specific host species is an inerratic and describable ability of a virus to cause infection but is generally shaped by a variety of abiotic and biotic factors. In this investigation, the variations in pathogenicity of Heliothis virescens ascovirus 3h (HvAV-3h) to five noctuid pests were assessed based on mass spectrometry analysis on the virion compositions. Twenty-nine common HvAV-3h proteins were shared across all hosts, and different flexible proteins were identified in the virions of each specific host. Different host proteins were identified as HvAV-3h virion-associated proteins, including different detoxification enzyme proteins. Furthermore, a relatively fixed relationship between viral replication and changes in host detoxification enzyme activity caused by deficiencies in various viral structural proteins was found in the host larvae using a correlation matrix analysis: the host larval carboxylesterase and cytochrome P450 monooxygenases generally had highly similar responses to the viruses blocked by different structural proteins’ antisera and their effects on viral DNA replication. Different interaction patterns for the virion structural proteins were found in different host larvae-produced virions, and the interactions between Spodoptera litura glutathione S-transferases and viral structural proteins were confirmed. The different host responses after viral infection could be the reason for the changes in viral pathogenicity, while the virus responses gradually adapted to the different hosts and there were flexible changes in the virion structures. IMPORTANCE Different pathogenic processes of a virus in different hosts are related to the host individual differences, which makes the virus undergoes different survival pressures. Here, we found that the virions of an insect virus, Heliothis virescens ascovirus 3h (HvAV-3h), had different protein composition when they were purified from different host larval species. These “adaptive changes” of the virions were analyzed in detail in this study, which mainly included the differences of the protein composition of virions and the differences in affinity between virions and different host proteins. The results of this study revealed the flexible changes of viruses to help themselves adapt to different hosts. Also, these interesting findings can provide new insights to improve our understanding of virus adaptability and virulence differentiation caused by the adaptation process.

Pepper mild mottle virus: a formidable foe of capsicum production—a review

Viruses are one of the major restraining factors in pepper cultivation globally. Among different viruses, pepper mild mottle virus (PMMoV) is one of the most detrimental plant viruses infecting Capsicum spp. belonging to the genus Tobamovirus and Virgaviridae family. It has a monopartite positive-sense single-stranded RNA genome of 6.35 kb size. On an average, PMMoV results in 15%–40% losses in capsicum fruit yield. However, the incidence of PMMoV can reach as high as 95%, leading to substantial yield losses ranging from 75% to 95%. The virus is transmitted via contact, soil, and seeds rather than via insect vectors. PMMoV, because of its seed-borne nature, now occurs worldwide. PMMoV mainly infects Capsicum spp. under natural conditions; however, it can experimentally be transmitted to other plants species belonging to the families Solanaceae, Cucurbitaceae, Labiatae, Chenopodiaceae, and Plantaginaceae. The resistance to tobamoviruses in capsicum is conferred by L locus. Mutations in the coat protein of PMMoV are responsible for the emergence of L-mediated resistance-breaking pathotypes. The highly contagious nature of the virus, seed transmission behavior, and the emergence of virulence complicate its management through a single approach. Therefore, efforts are directed towards providing a more practical and efficient integrated management solution using the RNA interference approach; exploitation of the L gene for resistance breeding; and the inhibitory potential of natural products, systemic resistance-inducing antagonistic bacteria, and chemically synthesized silver nanoparticles. Markers linked to L alleles have been observed to accelerate capsicum breeding programs through marker-assisted selection. In this study, an attempt has been made to compile the recent developments in PMMoV biology, pathogenic variability, genomic organization, and management strategies.

An updated review of Alternaria blight of pigeonpea (Cajanus cajan (L.) Mill sp.)

Pigeonpea (Cajanus cajan (L.) Mill sp.) is an important food legume grown in semi-arid tropical and sub-tropical farming systems under diverse agroecological environments. Alternaria blight (Alternaria tenuissima (Kunze ex Pers.) Wiltshire) is a minor disease when the pigeonpea is sown in June-July but becomes the most serious disease in crops that are sown in mid-September in north-eastern India. Alternaria blight disease has been reported from 13.67 to 49.33% disease intensity in different climatic conditions. This disease is found on leaves, stems, and pods, and dark spots on the leaves and pods reduce the photosynthesis capacity and immature ripening, reducing the amount of quality seeds. The recurrence of the disease depends upon weather conditions, genotypes, age of plants, and virulence of the pathogen, and crop growing areas prioritized the research for developing an extensive range of Alternaria blight. Earlier workers on pathological, physiological, and biochemical characteristics of pathogen the nature of the infection process, and the genetic basis of the pathogen in variability could not clearly be reported. It is required to investigate Alternaria blight including signs, symptoms, biology, status, epidemiology, pathogenic, biochemical, and genetic variability, refinement of the resistance screening techniques, and develop integrated disease management technology of the pathogen to understand the change of disease scenario in the context of climate change. Available information on pathogen symptomatology, status, variability, source of resistance, different management options, and genetic basis of resistance have been updated and discussed with the identification of future research priorities.

Variations in O-Glycosylation Patterns Influence Viral Pathogenicity, Infectivity, and Transmissibility in SARS-CoV-2 Variants.

The highly glycosylated S protein plays a vital role in host cell invasion, making it the principal target for vaccine development. Differences in mutations observed on the spike (S) protein of SARS-CoV-2 variants may result in distinct glycosylation patterns, thus influencing immunological evasion, infectivity, and transmissibility. The glycans can mask key epitopes on the S1 protein and alter its structural conformation, allowing the virus to escape the immune system. Therefore, we comprehensively characterize O-glycosylation in eleven variants of SARS-CoV-2 S1 subunits to understand the differences observed in the biology of the variants. In-depth characterization was performed with a double digestion strategy and an efficient LC-MS/MS approach. We observed that O-glycosylation is highly conserved across all variants in the region between the NTD and RBD, whereas other domains and regions exhibit variation in O-glycosylation. Notably, omicron has the highest number of O-glycosylation sites on the S1 subunit. Also, omicron has the highest level of sialylation in the RBD and RBM functional motifs. Our findings may shed light on how differences in O-glycosylation impact viral pathogenicity in variants of SARS-CoV-2 and facilitate the development of a robust vaccine with high protective efficacy against the variants of concern.