Disaster plant pathology: Smart solutions for threats to global plant health from natural and human-driven disasters.

Disaster plant pathology addresses how natural and human-driven disasters impact plant diseases, and the requirements for smart management solutions. Local to global drivers of plant disease change in response to disasters, often creating environments more conducive to plant disease. Most disasters have indirect effects on plant health through factors such as disrupted supply chains and damaged infrastructure. There is also the potential for direct effects from disasters, such as pathogen or vector dispersal due to floods, hurricanes, and human migration driven by war. Pulse stressors such as hurricanes and war require rapid responses, while press stressors such as climate change leave more time for management adaptation but may ultimately cause broader challenges. Smart solutions for the effects of disasters can be deployed through digital agriculture and decision support systems supporting disaster preparedness and optimized humanitarian aid across scales. Here we use the disaster plant pathology framework to synthesize the effects of disasters in plant pathology and outline solutions to maintain food security and plant health in catastrophic scenarios. We recommend actions for improving food security before and following disasters, including (1) strengthening regional and global cooperation, (2) capacity building for rapid implementation of new technologies, (3) effective clean seed systems that can act quickly to replace seed lost in disasters, (4) resilient biosecurity infrastructure and risk assessment ready for rapid implementation, and (5) decision support systems that can adapt rapidly to unexpected scenarios.

TOMMicroNet: Convolutional Neural Networks for Smartphone-Based Microscopic Detection of Tomato Biotic and Abiotic Plant Health Issues.

The image-based detection and classification of plant diseases has become increasingly important to the development of precision agriculture. We consider the case of tomato, a high-value crop supporting the livelihoods of many farmers around the world. Many biotic and abiotic plant health issues impede the efficient production of this crop, and laboratory-based diagnostics are inaccessible in many remote regions. Early detection of these plant health issues is essential for efficient and accurate response, prompting exploration of alternatives for field detection. Considering the availability of low-cost smartphones, artificial intelligence-based classification facilitated by mobile phone imagery can be a practical option. This study introduces a smartphone-attachable 30x microscopic lens, used to produce the novel tomato microimaging dataset of 8500 images representing 34 tomato plant conditions on the upper and lower sides of leaves as well as on the surface of tomato fruits. We introduce TOMMicroNet, a 14-layer convolutional neural network (CNN) trained to classify amongst biotic and abiotic plant health issues, and we compare it against six existing pre-trained CNN models. We compared two separate pipelines of grouping data for training TOMMicroNet, either presenting all data at once or separating into subsets based on the three parts of the plant. Comparing configurations based on cross-validation and F1 scores, we determined that TOMMicroNet attained the highest performance when trained on the complete dataset, with 95% classification accuracy on both training and external datasets. Given TOMMicroNet's capabilities when presented with unfamiliar data, this approach has the potential for the identification of plant health issues.

Volume overload is a major characteristic in primary aldosteronism: a 3-year follow-up study.

OBJECTIVES: We examined haemodynamics, focusing on volume balance and forward and backward wave amplitudes, before and after 2.8 years of targeted treatment of primary aldosteronism. Patients with essential hypertension and normotensive individuals were examined for comparison (n = 40 in each group). METHODS: Recordings were performed using radial artery pulse wave analysis and whole-body impedance cardiography. Unilateral aldosteronism was treated with adrenalectomy (n = 20), bilateral aldosteronism with spironolactone-based medication (n = 20), and essential hypertension with standard antihypertensive agents. RESULTS: Aortic SBP and DBP, forward and backward wave amplitudes, and systemic vascular resistance were equally elevated in primary aldosteronism and essential hypertension. All these haemodynamic variables were similarly reduced by the treatments. Primary aldosteronism presented with 1 litre (∼10%) extracellular water excess (P < 0.001) versus the other groups, and this excess was normalized by treatment. Initial pulse wave velocity (PWV) was similarly increased in primary aldosteronism and essential hypertension, but final values remained higher in primary aldosteronism (P < 0.001). In regression analyses, significant explanatory factors for treatment-induced forward wave amplitude reduction were decreased systemic vascular resistance (ß = 0.380) and reduced extracellular water volume (ß = 0.183). Explanatory factors for backward wave amplitude reduction were changes in forward wave amplitude (ß = 0.599), heart rate (ß = -0.427), and PWV (ß = 0.252). CONCLUSION: Compared with essential hypertension, the principal haemodynamic difference in primary aldosteronism was higher volume load. Volume excess elevated forward wave amplitude, which was subsequently reduced by targeted treatment of primary aldosteronism, along with normalization of volume load. We propose that incorporating extracellular water evaluation alongside routine diagnostics could enhance the identification and diagnosis of primary aldosteronism.

Whole-Genome-Sequence-Based Classification of Xanthomonas euvesicatoria pv. eucalypti and Computational Analysis of the Type III Secretion System.

Xanthomonas spp. infect a wide range of annual and perennial plants. Bacterial blight in young seedlings of Eucalyptus spp. in Indonesia was originally identified as X. perforans. However, these strains failed to elicit a hypersensitive response (HR) on either tomatoes or peppers. Two of the strains, EPK43 and BCC 972, when infiltrated into tomato and pepper leaves, failed to grow to significant levels in comparison with well-characterized X. euvesicatoria pv. perforans (Xp) strains. Furthermore, spray inoculation of 'Bonny Best' tomato plants with a bacterial suspension of the Eucalyptus strains resulted in no obvious symptoms. We sequenced the whole genomes of eight strains isolated from two Eucalyptus species between 2007 and 2015. The strains had average nucleotide identities (ANIs) of at least 97.8 with Xp and X. euvesicatoria pv. euvesicatoria (Xeu) strains, both of which are causal agents of bacterial spot of tomatoes and peppers. A comparison of the Eucalyptus strains revealed that the ANI values were >99.99% with each other. Core genome phylogeny clustered all Eucalyptus strains with X. euvesicatoria pv. rosa. They formed separate clades, which included X. euvesicatoria pv. alangii, X. euvesicatoria pv. citrumelonis, and X. euvesicatoria pv. alfalfae. Based on ANI, phylogenetic relationships, and pathogenicity, we designated these Eucalyptus strains as X. euvesicatoria pv. eucalypti (Xee). Comparative analysis of sequenced strains provided unique profiles of type III secretion effectors. Core effector XopD, present in all pathogenic Xp and Xeu strains, was absent in the Xee strains. Comparison of the hrp clusters of Xee, Xp, and Xeu genomes revealed that HrpE in Xee strains was very different from that in Xp and Xeu. To determine if it was functional, we deleted the gene and complemented with the Xee hrpE, confirming it was essential for secretion of type III effectors. HrpE has a hypervariable N-terminus in Xanthomonas spp., in which the N-terminus of Xee strains differs significantly from those of Xeu and Xp strains.

Blood Haemoglobin Concentration Is Directly and Independently Related with Pulse Wave Velocity, a Measure of Large Artery Stiffness.

High haemoglobin level has been associated with metabolic syndrome, elevated blood pressure (BP), and increased mortality risk. In this cross-sectional study, we investigated the association of blood haemoglobin with haemodynamics in 743 subjects, using whole-body impedance cardiography and pulse wave analysis. The participants were allocated to sex-stratified haemoglobin tertiles with mean values 135, 144, and 154 g/L, respectively. The mean age was similar in all tertiles, while body mass index was higher in the highest versus the lowest haemoglobin tertile. The highest haemoglobin tertile had the highest erythrocyte and leukocyte counts, plasma C-reactive protein, uric acid, renin activity, and aldosterone. The lipid profile was less favourable and insulin sensitivity lower in the highest versus the lowest haemoglobin tertile. Aortic BP, cardiac output, and systemic vascular resistance were similar in all tertiles, while the pulse wave velocity (PWV) was higher in the highest versus the lowest haemoglobin tertile. In linear regression analysis, age (Beta 0.478), mean aortic BP (Beta 0.178), uric acid (Beta 0.150), heart rate (Beta 0.148), and aldosterone-to-renin ratio (Beta 0.123) had the strongest associations with PWV (p < 0.001 for all). Additionally, haemoglobin concentration was an explanatory factory for PWV (Beta 0.070, p = 0.028). To conclude, blood haemoglobin concentration had a small direct and independent association with a measure of large artery stiffness.

First Report of Candidatus Phytoplasma asteris (16SrI-B Subgroup) associated with phyllody disease of moth bean in world.

Moth bean (Vigna aconitifolia), a drought and heat-resistant legume from the Fabaceae family, is commonly cultivated in arid and semi-arid regions of the Indian subcontinent In September 2022, phyllody symptoms (Figure 1) were observed on 50-days-old moth bean plants at the ICAR-NBPGR research farm in Jodhpur, Rajasthan, India. The disease incidence ranged from 10 to 25%. To investigate the cause, ten symptomatic VacoJod (1-10) and ten asymptomatic VacoJod (11-20) Vigna aconitifolia plants were collected. Insect populations were also collected from the vicinity using the sweep-net method to examine the role of insect vectors. The leafhopper was identified based on morphological characterization as Empoasca sp. at the Division of Entomology, ICAR-IARI, New Delhi. DNA was extracted from midribs of all collected plants and the Empoasca sp., using Qiagen DNeasy Plant Mini Kit and Blood and Tissue kit, respectively. Nested polymerase chain reaction (Nested-PCR) with universal primers P1/P7 and R16F2n/R16R2 (Deng and Hiruki, 1991; Gundersen and Lee, 1996), and secA gene primers (secAfor1/secArev3 and secAfor2/secArev3) (Hodgetts et al., 2008) were employed to determine phytoplasma species association. Out of the 10 symptomatic plants and 10 leafhopper samples, 6 leafhopper samples and all symptomatic plants produced expected band sizes for the 16S rRNA (approximately 1.25 kb) and secA gene (480 bp). The PCR products were cloned, sequenced, and sequences (two each from moth bean and leafhopper) were submitted to NCBI GenBank with accession numbers OP941130, OP941132, OP941133 and OP941134 for 16S rRNA and OP958868, OP958869, OP958870, and OP958871 for secA gene sequences. Nucleotide BLAST analysis of 16S rRNA sequences revealed a minimum of 99.92% similarity with 'Primula acaulis' yellows phytoplasma (KJ494340) from Czech Republic. All 100% hits corresponded to 16SrI-B group phytoplasmas, for example rapeseed phyllody phytoplasma (CP055264) from Taiwan. Similarly, nucleotide BLAST analysis of secA sequences revealed a minimum of 99.15% sequence similarity with Paulownia witches'-broom phytoplasma (secA) (OP124308) from China. All 100% hits were of 16SrI-B group phytoplasmas, for example Ageratum conyzoides yellowing phytoplasma (MW401697, secA) from India. Phylogenetic analysis using MEGA11 (Tamura et al., 2021) clustered the moth bean and Empoasca sp. phytoplasma strains with 16SrI-B phytoplasma reference strains. iPhyClassifier tool classified the 16S rRNA gene sequences into 16Sr group I, subgroup B, with a similarity coefficient of 1.0 (Figure 2a, 2b). This marks the first report of the association of 'Ca. P. asteris' 16SrI-B related phytoplasma strain with moth bean plants globally. The 16SrI-B phytoplasma strain is prevalent in various crops in India (Singh et al., 2023). This report emphasizes the epidemiological studies and highlights the need for further research and preventive measures to manage the spread of this phytoplasma strain, which could impact crop production and food security in hot and dry regions.

Novel magnesium-copper hybrid nanomaterials for management of bacterial spot of tomato.

Bacterial spot of tomato (BST), predominantly caused by Xanthomonas perforans (Xp) in Florida, is one of the most devastating diseases in hot, humid environments. Bacterial resistance to copper-based bactericides and antibiotics makes disease management extremely challenging. This necessitates alternative solutions to manage the disease. In this study, we used two novel hybrid copper and magnesium nanomaterials noted as magnesium double-coated (Mg-Db) and magnesium-copper (Mg-Cu), to manage BST. In in vitro experiments, no viable cells were recovered following 4 h exposure to 500 µg/ml of both Mg-Db and Mg-Cu, while 100 and 200 µg/ml required 24 h of exposure for complete inhibition. In viability assay using live/dead cell straining method and epifluorescence microscopy, copper tolerant Xp cells were killed within 4 h by both Mg-Cu and Mg-Db nanomaterials at 500 µg/ml, but not by copper hydroxide (Kocide 3000). In the greenhouse, Mg-Db and Mg-Cu at 100-500 µg/ml significantly reduced BST severity compared to micron-sized commercial Cu bactericide Kocide 3000 and the growers' standard (copper hydroxide + mancozeb) (P < 0.05). In field studies, Mg-Db and Mg-Cu nanomaterials significantly reduced disease severity in two out for field trials. Mg-Db at 500 µg/ml reduced BST severity by 34% compared to the non-treated control without affecting yield in Fall, 2020. The use of hybrid nanomaterials at the highest concentrations (500 µg/ml) used in the field experiments can reduce copper use by 90% compared to the growers' standard. In addition, there was no phytotoxicity observed with the use of hybrid nanomaterials in the field. These results suggest the potential of novel magnesium-copper based hybrid nanomaterials to manage copper-tolerant bacterial pathogens.

Microbial Exudates as Biostimulants: Role in Plant Growth Promotion and Stress Mitigation.

Microbes hold immense potential, based on the fact that they are widely acknowledged for their role in mitigating the detrimental impacts of chemical fertilizers and pesticides, which were extensively employed during the Green Revolution era. The consequence of this extensive use has been the degradation of agricultural land, soil health and fertility deterioration, and a decline in crop quality. Despite the existence of environmentally friendly and sustainable alternatives, microbial bioinoculants encounter numerous challenges in real-world agricultural settings. These challenges include harsh environmental conditions like unfavorable soil pH, temperature extremes, and nutrient imbalances, as well as stiff competition with native microbial species and host plant specificity. Moreover, obstacles spanning from large-scale production to commercialization persist. Therefore, substantial efforts are underway to identify superior solutions that can foster a sustainable and eco-conscious agricultural system. In this context, attention has shifted towards the utilization of cell-free microbial exudates as opposed to traditional microbial inoculants. Microbial exudates refer to the diverse array of cellular metabolites secreted by microbial cells. These metabolites enclose a wide range of chemical compounds, including sugars, organic acids, amino acids, peptides, siderophores, volatiles, and more. The composition and function of these compounds in exudates can vary considerably, depending on the specific microbial strains and prevailing environmental conditions. Remarkably, they possess the capability to modulate and influence various plant physiological processes, thereby inducing tolerance to both biotic and abiotic stresses. Furthermore, these exudates facilitate plant growth and aid in the remediation of environmental pollutants such as chemicals and heavy metals in agroecosystems. Much like live microbes, when applied, these exudates actively participate in the phyllosphere and rhizosphere, engaging in continuous interactions with plants and plant-associated microbes. Consequently, they play a pivotal role in reshaping the microbiome. The biostimulant properties exhibited by these exudates position them as promising biological components for fostering cleaner and more sustainable agricultural systems.

Study of the Aetiology and Clinical Manifestations of Thrombocytopenia in a Tertiary Care Centre.

Introduction Thrombocytopenia is a commonly observed condition in clinical practice, and its diagnosis is often challenging due to numerous aetiologies and variations in clinical presentation. Early identification of thrombocytopenia and its causes can help prevent life-threatening haemorrhagic manifestations. Methodology A prospective observational study was conducted at a tertiary care hospital from February 2019 to January 2020. This evaluation aimed to determine the causes and prevalence of thrombocytopenia in a tertiary care setting. Patients aged 15 or older with a platelet count of fewer than 150,000/ µL were eligible for inclusion in this evaluation. Investigations for aetiology detection were recommended. Results During the one-year study period, a total of 100 patients, including 58 males and 42 females, with thrombocytopenia were selected for the study. The most common age group affected by thrombocytopenia in this study was between 46 and 55 years old. The most common clinical manifestations observed were generalised weakness (70%), haemorrhagic manifestations (60%), fever (50%), joint pain (37%), splenomegaly (35%), headache (30%), breathlessness (23%), lymphadenopathy (22%), hepatomegaly (24%), and abdominal pain (12%). The most prevalent causes of thrombocytopenia were megaloblastic anaemia (19 cases), dengue fever (15 cases), malaria (11 cases), enteric fever (nine cases), immune thrombocytopenia (ITP) (eight cases), and leukaemia (seven cases). Bleeding was reported as a symptom of thrombocytopenia in 60% of individuals in this study. Conclusion In the study, thrombocytopenia was more common in people aged 46-55 years, and males were more commonly affected than females. Megaloblastic anaemia and infectious disease were the most common causes of thrombocytopenia. Bleeding manifestations were found in 60% of patients with thrombocytopenia.

Improved Persistence of Bacteriophage Formulation with Nano N-Acetylcysteine-Zinc Sulfide and Tomato Bacterial Spot Disease Control.

Bacteriophages are biocontrol agents used to manage bacterial diseases. They have long been used against plant pathogenic bacteria; however, several factors impede their use as a reliable disease management strategy. Short-lived persistence on plant surfaces under field conditions results mainly from rapid degradation by exposure to ultraviolet (UV) light. Currently, there are no effective commercial formulations that protect phages from UV. The phage ΦXp06-02-1, which lyses strains of the tomato bacterial spot pathogen Xanthomonas perforans, was mixed with different concentrations of the nanomaterial N-acetylcysteine surface-coated manganese-doped zinc sulfide (NAC-ZnS; 3.5 nm). In vitro, NAC-ZnS at 10,000 µg/ml formulated phage, when exposed to UV for 1 min, provided statistically equivalent plaque-forming unit (PFU) recovery as phages that were not exposed to UV. NAC-ZnS had no negative effect on the phage's ability to lyse bacterial cells under in vitro conditions. NAC-ZnS reduced phage degradation over time in comparison with the nontreated control, whereas N-acetylcysteine-zinc oxide (NAC-ZnO) had no effect. In fluorescent light, without UV exposure, NAC-ZnO-formulated phages were more infective than NAC-ZnS-formulated phages. The nanomaterial-phage mixture did not cause any phytotoxicity when applied to tomato plants. Following exposure to sunlight, the NAC-ZnS formulation improved phage persistence in the phyllosphere by 15 times compared with nonformulated phages. NAC-ZnO-formulated phage populations were undetectable within 32 h, whereas NAC-ZnS-formulated phage populations were detected at 103 PFU/g. At 4 h of sunlight exposure, NAC-ZnS-formulated phages at 1,000 µg/ml significantly reduced tomato bacterial spot disease severity by 16.4% compared with nonformulated phages. These results suggest that NAC-ZnS can be used to improve the efficacy of phages for bacterial diseases.

Ambulatory daytime blood pressure versus tonometric blood pressure measurements in the laboratory: effect of posture.

OBJECTIVE: To compare blood pressure (BP) in tonometric radial artery recordings during passive head-up tilt with ambulatory recordings and evaluate possible laboratory cutoff values for hypertension. METHODS: Laboratory BP and ambulatory BP were recorded in normotensive (n = 69), unmedicated hypertensive (n = 190), and medicated hypertensive (n = 151) subjects. RESULTS: Mean age was 50.2 years, BMI 27.7 kg/m 2 , ambulatory daytime BP 139/87 mmHg, and 276 were male (65%). As supine-to-upright changes in SBP ranged from -52 to +30 mmHg, and in DBP from -21 to +32 mmHg, the mean values of BP supine and upright measurements were compared with ambulatory BP. The mean(supine+upright) systolic laboratory BP was corresponding to ambulatory level (difference +1 mmHg), while mean(supine+upright) DBP was 4 mmHg lower ( P  < 0.05) than ambulatory value. Correlograms indicated that laboratory 136/82 mmHg corresponded to ambulatory 135/85 mmHg. When compared with ambulatory 135/85 mmHg, the sensitivity and specificity of laboratory 136/82 mmHg to define hypertension were 71.5% and 77.3% for SBP, and 71.7% and 72.8%, for DBP, respectively. The laboratory cutoff 136/82 mmHg classified 311/410 subjects similarly to ambulatory BP as normotensive or hypertensive, 68 were hypertensive only in ambulatory, while 31 were hypertensive only in laboratory measurements. CONCLUSION: BP responses to upright posture were variable. When compared with ambulatory BP, mean(supine+upright) laboratory cutoff 136/82 mmHg classified 76% of subjects similarly as normotensive or hypertensive. In the remaining 24% the discordant results may be attributed to white-coat or masked hypertension, or higher physical activity during out-of-office recordings.

Low length-for-age Z-score within 1 month after birth predicts hyperdynamic circulation at the age of 21 years in rural Malawi.

Low birth weight predisposes to the development of hypertension in middle- and high-income countries. We examined the relation of early life length-for-age score (Z-score) on cardiovascular function in young adults in Malawi, a low-income country. Capture of supine, seated, and standing brachial pulse waveforms (Mobil-O-Graph) were performed in 223 females and 152 males (mean age 21 years), and analyzed according to the length-for-age Z-score tertiles during the first month of life. Plasma LDL cholesterol in young adulthood was slightly lower in the lowest versus highest tertile. Otherwise, blood hemoglobin and plasma chemistry were similar in all tertiles. Irrespective of posture, blood pressure, forward and backward wave amplitudes, and pulse wave velocity were corresponding in all tertiles. In the three postures, the lowest tertile presented with 4.5% lower systemic vascular resistance than the highest tertile (p = 0.005), and 4.4% and 5.5% higher cardiac output than the middle and highest tertiles, respectively (p < 0.01). Left cardiac work was 6.8% and 6.9% higher in the lowest tertile than in the middle and highest tertiles, respectively (p < 0.01). To conclude, in a low-income environment, low length-for-age Z-score after birth predicted hyperdynamic circulation at 21 years of age without changes in blood pressure and metabolic variables.

First Report of Candidatus Phytoplasma asteris (16SrI-B subgroup) associated with phyllody disease of fenugreek in the world.

Fenugreek (Trigonella foenum-graecum) is a leafy vegetable and spice crop, native to Indian subcontinent and Eastern Mediterranean region. Phytoplasma infection symptoms were observed in fenugreek at ICAR-National Bureau of Plant Genetic Resources Regional Station, Jodhpur and Agricultural Research Station Mandore Jodhpur, Rajasthan, India. The first appearance of phytoplasma suspected symptoms of little leaf was recorded after 50 days of sowing in the months of January 2022. The major symptoms recorded were virescence, phyllody, shoot proliferation, witches-broom, little leaf, yellowing and overall stunted growth in 146 germplasm accessions at NBPGR research farm, Jodhpur and one major commercially cultivated variety RMT 305 at Mandore Jodhpur. Ten samples from symptomatic and five samples from asymptomatic fenugreek plants were collected and processed for total DNA extraction using the Qiagen DNeasy plant mini kit (Germany). The extracted DNA was amplified using nested PCR assays with universal phytoplasma detection primers for 16S rRNA gene (P1/P7 and R16F2n/R16R2) and secA gene specific primers (SecAfor1/SecArev3 and SecAfor2/SecArev3) (Schneider et al. 1995; Gundersen and Lee 1996; Hodgetts et al. 2008). The amplicons of ∼1.25 kb with 16S rRNA and ∼480 bp with secA gene specific primers were amplified in all symptomatic fenugreek samples. In negative control (asymptomatic plants) no amplification was observed with either of gene specific primers in gel electrophoresis. PCR amplified products from the six selected positive samples (FPP-NBPGR-J-01 to FPP-NBPGR-J-04 and FPP-MND-01 to FPP-MND-02) of 16S rRNA and secA gene, were sequenced from both ends. Sequences were deposited in the NCBI GenBank with accession numbers ON756108-ON756113 for 16S rRNA gene sequences and ON745809 to ON745814 for secA gene sequences. BLAST analysis of 16S rRNA and secA sequences revealed 100% sequence identity among themselves and 99.95 to 100% sequence identity with the earlier reported phytoplasma strains of aster yellows group related phytoplasma strains (GenBank Acc. No. MN239504, MN080270) belonging to Ca. P. asteris (16SrI group). Further analyses of the 16S rRNA and secA gene-based phylogenetic tree and the iPhyClassifier-based virtual RFLP analysis of 16S rRNA gene study demonstrated that the phytoplasma associated with fenugreek phyllody belonged to 16Sr group I ('Ca. P. asteris') and subgroup B (GenBank accession AP006628), with similarity coefficient of 1.0. Earlier association of 16Sr-II-D subgroup (Ca. P. australasiae) with fenugreek as host was reported from Pakistan (Malik et al., 2020). To the best of our knowledge, this is the first report of a 'Ca. P. asteris', 16SrI-B subgroup related phytoplasma strain associated with fenugreek phyllody in the world. The 16SrI-B phytoplasma strain is a widely distributed strain associated with several agricultural and horticultural crops of India (Rao 2021). This is not only the first instance of fenugreek phyllody disease found in India, but also the first instance of fenugreek phyllody caused by 16SrI-B subgroup phytoplasma worldwide. This report has epidemiological significance and needs immediate attention, as fenugreek is one of the most common seed spice crop being grown all over India.

First report of 'Candidatus phytoplasma asteris' (16SrI) from Cassia fistula showing symptoms of flat stem and witches'-broom in India.

Cassia fistula commonly known as 'golden shower tree' is a deciduous tree with a greenish-gray bark and complex leaves with lovely clusters of yellow blossoms that is also utilized for several purposes in traditional medicine offer therapeutic characteristics (Pawar et al., 2017). Random spotting of flat stem symptoms along with unopened flower beds was observed in C. fistula plant during March 2022 in IISER (Indian Institute of Science Education and Research), Thiruvananthapuram, Kerala, India and during May 2022 in SKUAST (Sher-e-Kashmir University of Agricultural Sciences and Technology), Jammu, which were suggestive of phytoplasma infection (Fig. 1 a-e). Surge of leaf hoppers was also observed in and around the tree. The leaf samples were collected from 3 individual C. fistula trees showing suspected symptoms of phytoplasma and one sample from asymptomatic plant of both the states. Leafhopper (LH) species were collected using sweep net method from both the locations. DNA was extracted using CTAB (Cetyl trimethyl ammonium bromide) method and nested universal PCR primers P1/P7 and R16F2n/R16R2 for the 16S rRNA gene (Deng and Hiruki 1991; Gundersen and Lee 1996) and secAfor1/secArev3 and SecAfor2/ SecArev3 for SecA gene (Hodgetts et al. 2008) were employed for the analysis of the phytoplasma strain association. The symptomatic plants and leaf hopper species showed positive bands of 1.2kb and 480bp for 16S rRNA and SecA gene respectively along with. Purified PCR products of both the genes (16Sr RNA and sec A) were ligated into pGEM ®T vector and cloned in Escherichia coli (DH5-α) were sequenced at Agri Genome labs, Kerala, India. The comparative sequence analysis using the BLASTn tool results showed 16S rRNA sequences acquired from plant samples (GenBank Acc. No. OP950857, OP950858) and the leafhoppers Hishimonus phycitis (OP538583) and Orosius albicinctus (OP538584) of Kerala had the minimum of 99.84% of similarity with Bitter gourd little leaf phytoplasma from Myanmar and maximum sequence identity (100%) with the Rapeseed phyllody phytoplasma strain from Taiwan. The sequences of phytoplasma strains from Jammu trees (Genbank Acc. No. OP801671 & OP801672) and H. phycitis (OP801673) shared 100% similarity with each other as well as with North American grapevine yellows and a minimum of 97.65% with Beta vulgaris phytoplasma from Poland. The pairwise comparison results were completely supported by the corresponding phylogenetic sequence analysis of 16S rRNA and SecA gene sequences of all the isolates in the study which clustered with 16SrI-B subgroup related strains. Virtual RFLP analysis through iPhyClassifer results that were derived from in silico digestions of R16F2n/R2 region of 16S rRNA gene using 17 restriction endonucleases enzymes indicated that all the samples produced similar virtual RFLP profiles identical to the reference strain of 16SrI-B phytoplasma subgroup (aster yellows: Acc. No. M30790) with a similarity coefficient value of 1.0. To the best of our knowledge, this is the first report of the phytoplasma association of 'Ca. P. asteris' (16SrI-B) subgroup with Cassia fistula in the world.

Genetic diversity, population structure, and genome-wide association study for the flowering trait in a diverse panel of 428 moth bean (Vigna aconitifolia) accessions using genotyping by sequencing.

BACKGROUND: Moth bean (Vigna aconitifolia) is an underutilized, protein-rich legume that is grown in arid and semi-arid areas of south Asia and is highly resistant to abiotic stresses such as heat and drought. Despite its economic importance, the crop remains unexplored at the genomic level for genetic diversity and trait mapping studies. To date, there is no report of SNP marker discovery and association mapping of any trait in this crop. Therefore, this study aimed to dissect the genetic diversity, population structure and marker-trait association for the flowering trait in a diversity panel of 428 moth bean accessions using genotyping by sequencing (GBS) approach. RESULTS: A total of 9078 high-quality single nucleotide polymorphisms (SNPs) were discovered by genotyping of 428 moth bean accessions. Model-based structure analysis and PCA grouped the moth bean accessions into two subpopulations. Cluster analysis revealed accessions belonging to the Northwestern region of India had higher variability than accessions from the other regions suggesting that this region represents its center of diversity. AMOVA revealed more variations within individuals (74%) and among the individuals (24%) than among the populations (2%). Marker-trait association analysis using seven multi-locus models including mrMLM, FASTmrEMMA FASTmrEMMA, ISIS EM-BLASSO, MLMM, BLINK and FarmCPU revealed 29 potential genomic regions for the trait days to 50% flowering, which were consistently detected in three or more models. Analysis of the allelic effect of the major genomic regions explaining phenotypic variance of more than 10% and those detected in at least 2 environments showed 4 genomic regions with significant phenotypic effect on this trait. Further, we also analyzed genetic relationships among the Vigna species using SNP markers. The genomic localization of moth bean SNPs on genomes of closely related Vigna species demonstrated that maximum numbers of SNPs were getting localized on Vigna mungo. This suggested that the moth bean is most closely related to V. mungo. CONCLUSION: Our study shows that the north-western regions of India represent the center of diversity of the moth bean. Further, the study revealed flowering-related genomic regions/candidate genes which can be potentially exploited in breeding programs to develop early-maturity moth bean varieties.

Urine sodium excretion is related to extracellular water volume but not to blood pressure in 510 normotensive and never-treated hypertensive subjects.

PURPOSE: High sodium intake is an accepted risk factor for hypertension, while low Na+ intake has also been associated with increased risk of cardiovascular events. In this cross-sectional study, we examined the association of 24-h urinary Na+ excretion with haemodynamics and volume status. MATERIALS AND METHODS: Haemodynamics were recorded in 510 normotensive and never-treated hypertensive subjects using whole-body impedance cardiography and tonometric radial artery pulse wave analysis. The results were examined in sex-specific tertiles of 24-h Na+ excretion, and comparisons between normotensive and hypertensive participants were also performed. Regression analysis was used to investigate factors associated with volume status. The findings were additionally compared to 28 patients with primary aldosteronism. RESULTS: The mean values of 24-h urinary Na+ excretion in tertiles of the 510 participants were 94, 148 and 218 mmol, respectively. Average tertile age (43.4-44.7 years), office blood pressure and pulse wave velocity were corresponding in the tertiles. Plasma electrolytes, lipids, vitamin D metabolites, parathyroid hormone, renin activity, aldosterone, creatinine and insulin sensitivity did not differ in the tertiles. In supine laboratory recordings, there were no differences in aortic systolic and diastolic blood pressure, heart rate, cardiac output and systemic vascular resistance. Extracellular water volume was higher in the highest versus lowest tertile of Na+ excretion. In regression analysis, body surface area and 24-h Na+ excretion were independent explanatory variables for extracellular water volume. No differences in urine Na+ excretion and extracellular water volume were found between normotensive and hypertensive participants. When compared with the 510 participants, patients with primary aldosteronism had 6.0% excess in extracellular water (p = .003), and 24-h Na+ excretion was not related with extracellular water volume. CONCLUSION: In the absence of mineralocorticoid excess, Na+ intake, as evaluated from 24-h Na+ excretion, predominantly influences extracellular water volume without a clear effect on blood pressure.

We evaluated sodium intake in 510 subjects by measuring their 24-h sodium excretion to the urine and examined whether sodium intake was related with alterations in cardiovascular function and fluid balance. All participants were without blood pressure lowering medications.Blood pressure was recorded by a device that senses the radial artery pulsations form the wrist. The amount of blood pumped by the heart, the transfer of pressure waves following cardiac contractions and body fluid status were evaluated using bioimpedance, a method recording changes in body electrical resistance.For the analyses, the participants were divided into tertiles according to their 24-h sodium excretions. We also compared results between normotensive and hypertensive subjects.The 24-h sodium excretion in the tertiles corresponded to about 6 g, 9 g and 13 g of salt intake per day, respectively. There were no differences between the tertiles in age, routine laboratory analyses, blood pressure, large arterial stiffness, amount blood pumped by the heart and resistance to blood flow in the arteries. However, there was more extracellular fluid in the highest versus the lowest tertile of sodium excretion. Further statistics indicated that extracellular fluid volume in the body was mainly determined by body size, but it was also moderately influenced by sodium intake.No differences in 24-h sodium excretion and extracellular water volume were found between normotensive and hypertensive participants.In subjects not using blood pressure lowering medications, sodium intake predominantly influences the amount of extracellular fluid without a clear effect on blood pressure.

Non-coding deep learning models for tomato biotic and abiotic stress classification using microscopic images.

Plant disease classification is quite complex and, in most cases, requires trained plant pathologists and sophisticated labs to accurately determine the cause. Our group for the first time used microscopic images (×30) of tomato plant diseases, for which representative plant samples were diagnostically validated to classify disease symptoms using non-coding deep learning platforms (NCDL). The mean F1 scores (SD) of the NCDL platforms were 98.5 (1.6) for Amazon Rekognition Custom Label, 93.9 (2.5) for Clarifai, 91.6 (3.9) for Teachable Machine, 95.0 (1.9) for Google AutoML Vision, and 97.5 (2.7) for Microsoft Azure Custom Vision. The accuracy of the NCDL platform for Amazon Rekognition Custom Label was 99.8% (0.2), for Clarifai 98.7% (0.5), for Teachable Machine 98.3% (0.4), for Google AutoML Vision 98.9% (0.6), and for Apple CreateML 87.3 (4.3). Upon external validation, the model's accuracy of the tested NCDL platforms dropped no more than 7%. The potential future use for these models includes the development of mobile- and web-based applications for the classification of plant diseases and integration with a disease management advisory system. The NCDL models also have the potential to improve the early triage of symptomatic plant samples into classes that may save time in diagnostic lab sample processing.

Cardiovascular disease in pregnancy and its outcome: A prospective study.

Introduction: Prevalence estimates place maternal heart illness anywhere from 0.3 to 3.5 percent. Up to 20.5% of all maternal deaths of non-obstetrical cause are attributable to cardiovascular disease. Aim: The aim of the study was the management of patients with the multidisciplinary approach to maternal cardiovascular disease and its influence on maternal and fetal outcomes in a tertiary care centre. Objectives: 1. To find out the prevalence and spectrum of heart disease in Pregnancy. 2. To find out the outcome of pregnancy with heart disease in a tertiary care centre. Materials and Methods: This prospective study of one year was done on pregnant with heart disease coming to the Obstetrics and Gynaecology department in collaboration with the cardiology department of IGIMS, Patna. A study was done on 65 pregnant with heart disease between the age group 20 to 35 years were compared to a control group of 65 pregnant women who were hospitalised during the same time period but did not have heart disease. All the pregnant women with heart disease were included in this study. Patients with medical disorders like Kidney disease, Liver disease, Pulmonary Disease, Diabetes Mellitus were excluded from the study. We used IBM's SPSS v23 to analyse the collected data. Result: Prevalence of heart disease in pregnancy was 5.8% in present study and mostly of RHD (62.5%), followed by corrected CHD (12.5%) and CHD (10.9%). Patients of NYHA Class I and II (58.5%), Class III (26.2%), and Class IV (15.4%). The mitral valve was most often impacted by RHD (35.3% of all cases), followed by the tricuspid valve (15.0%). Eight (1.1%) people had cardiac surgery for therapeutic reasons. Six percent of all corrective surgeries included closing an atrial septal defect (ASD). The most common kind of congenital abnormality was a ventricular septal defect (VSD, 3%), followed by atrial septal defect (ASD, 1.5%) and pulmonary ductal atresia (PDA, 1.5%). Patients with heart disease had a higher rate of MTP, emergency LSCS and instrumental births than the controls. Deaths during pregnancy were 4 (6.2%) with cardiac disease and no maternal mortality in control group and all belonged to NYHA Class 4 were anaemic. In patients with a left ventricular ejection fraction of 45% or below, death was high. Two women died intrapartum from RHD, and two died postpartum from Peripartum cardiomyopathy. There were significantly more incidences of low-birth-weight infants (36.4%) compared to the control group (p = 0.001). Cases had a statistically significant greater frequency of obstetric problems, as well as an increased risk of developing anaemia, hypertension, hypothyroidism, cholestasis, FGR, and GDM (p-value 0.017). Multiparity, severe valvular lesion, NYHA function class III or IV, arrhythmia, and low ejection fraction were associated with poor maternal outcome in the current study. Conclusion: Maternal morbidity and mortality due to heart disease can be reduced appreciably by antenatal care, early diagnosis, and management with the help of cardiologists and surgery in selected cases.

Future of Bacterial Disease Management in Crop Production.

Bacterial diseases are a constant threat to crop production globally. Current management strategies rely on an array of tactics, including improved cultural practices; application of bactericides, plant activators, and biocontrol agents; and use of resistant varieties when available. However, effective management remains a challenge, as the longevity of deployed tactics is threatened by constantly changing bacterial populations. Increased scrutiny of the impact of pesticides on human and environmental health underscores the need for alternative solutions that are durable, sustainable, accessible to farmers, and environmentally friendly. In this review, we discuss the strengths and shortcomings of existing practices and dissect recent advances that may shape the future of bacterial disease management. We conclude that disease resistance through genome modification may be the most effective arsenal against bacterial diseases. Nonetheless, more research is necessary for developing novel bacterial disease management tactics to meet the food demand of a growing global population.

How do plants defend themselves against pathogens-Biochemical mechanisms and genetic interventions.

In agro-ecosystem, plant pathogens hamper food quality, crop yield, and global food security. Manipulation of naturally occurring defense mechanisms in host plants is an effective and sustainable approach for plant disease management. Various natural compounds, ranging from cell wall components to metabolic enzymes have been reported to protect plants from infection by pathogens and hence provide specific resistance to hosts against pathogens, termed as induced resistance. It involves various biochemical components, that play an important role in molecular and cellular signaling events occurring either before (elicitation) or after pathogen infection. The induction of reactive oxygen species, activation of defensive machinery of plants comprising of enzymatic and non-enzymatic antioxidative components, secondary metabolites, pathogenesis-related protein expression (e.g. chitinases and glucanases), phytoalexin production, modification in cell wall composition, melatonin production, carotenoids accumulation, and altered activity of polyamines are major induced changes in host plants during pathogen infection. Hence, the altered concentration of biochemical components in host plants restricts disease development. Such biochemical or metabolic markers can be harnessed for the development of "pathogen-proof" plants. Effective utilization of the key metabolites-based metabolic markers can pave the path for candidate gene identification. This present review discusses the valuable information for understanding the biochemical response mechanism of plants to cope with pathogens and genomics-metabolomics-based sustainable development of pathogen proof cultivars along with knowledge gaps and future perspectives to enhance sustainable agricultural production.