Bayesian-Edge system for classification and segmentation of skin lesions in Internet of Medical Things.

BACKGROUND: Skin diseases are severe diseases. Identification of these severe diseases depends upon the abstraction of atypical skin regions. The segmentation of these skin diseases is essential to rheumatologists in risk impost and for valuable and vital decision-making. Skin lesion segmentation from images is a crucial step toward achieving this goal-timely exposure of malignancy in psoriasis expressively intensifies the persistence ratio. Defies occur when people presume skin diseases they have without accurately and precisely incepted. However, analyzing malignancy at runtime is a big challenge due to the truncated distinction of the visual similarity between malignance and non-malignance lesions. However, images' different shapes, contrast, and vibrations make skin lesion segmentation challenging. Recently, various researchers have explored the applicability of deep learning models to skin lesion segmentation. MATERIALS AND METHODS: This paper introduces a skin lesions segmentation model that integrates two intelligent methodologies: Bayesian inference and edge intelligence. In the segmentation model, we deal with edge intelligence to utilize the texture features for the segmentation of skin lesions. In contrast, Bayesian inference enhances skin lesion segmentation's accuracy and efficiency. RESULTS: We analyze our work along several dimensions, including input data (datasets, preprocessing, and synthetic data generation), model design (architecture, modules), and evaluation aspects (data annotation requirements and segmentation performance). We discuss these dimensions from seminal works and a systematic viewpoint and examine how these dimensions have influenced current trends. CONCLUSION: We summarize our work with previously used techniques in a comprehensive table to facilitate comparisons. Our experimental results show that Bayesian-Edge networks can boost the diagnostic performance of skin lesions by up to 87.80% without incurring additional parameters of heavy computation.

Quercetin in semen extender improves frozen-thawed spermatozoa quality and in-vivo fertility in crossbred Kamori goats.

This study investigated the antioxidant effect of quercetin-treated semen on frozen-thawed spermatozoa quality and in-vivo fertility in crossbred Kamori goats. In total, 32 ejaculates from four fertile bucks were diluted in Tris-based egg yolk extender with varying levels of quercetin (0, 1, 5, 10, and 15 µM). Qualified semen samples were pooled and frozen in French straws. The results revealed that the addition of quercetin in the semen extender increased (p < 0.05) frozen-thawed sperm total motility (TM), progressive motility (PM), rapid velocity (RV), average path velocity (VAP), straight line velocity (VSL), curvilinear velocity (VCL), and amplitude of lateral head (ALH) displacement in contrast to the control group. Quercetin supplementation had no effect on beat cross frequency (BCF), straightness (STR), and linearity (LIN) (p > 0.05). Quercetin showed significantly higher (p < 0.05) plasma membrane and acrosome integrity and viability (p < 0.05) of spermatozoa in contrast to the control group. Quercetin in the semen extender significantly increased (p < 0.05) superoxide dismutase (SOD), catalase (CAT), peroxidase (POD), ascorbate peroxidase (APX), and total antioxidant capacity (TAC) levels while reduced (p < 0.05) the contents of total oxidant status (TOS) and malondialdehyde (MDA), which were in contrast to the control group. Ultrasound results revealed that 24 out of 30 (80%) goats were found pregnant when semen was treated with 5 µM quercetin while the control group showed 18 out of 30 (60%) animals were pregnant. Thus, the study concluded that 5 µM quercetin-treated semen was found to be efficient, showed increased antioxidant status, and reduced oxidant production, leading to improved spermatozoa quality and in-vivo fertility in goats.

Inoculation of heavy metal resistant bacteria alleviated heavy metal-induced oxidative stress biomarkers in spinach (Spinacia oleracea L.).

Most vegetable crops are severely affected by the uptake of heavy metals from the soil. Heavy metals in vegetable bodies generate reactive oxygen species (ROS) that unbalance the antioxidant defense system. This study was initiated to determine the physiological and biochemical characteristics of spinach plants grown on soil contaminated with heavy metals and responding to Bacillus cereus and Bacillus aerius were isolated from soil contaminated with heavy metals. Heavy metal contamination led to a significant reduction in seed germination, seedling biomass, protein, and total nitrogen content of spinach plants grown in contaminated soils compared to control soils. In contrast, a significant increase in the content of metallothioneins and antioxidant enzymes was observed. Plants inoculated with B. cereus and B. aerius significantly reduced the oxidative stress induced by heavy metals by improving seed germination (%), seedling growth, nitrogen, and protein content. The content of metallothioneins and the activities of antioxidant enzymes were reduced in spinach plants grown from seeds inoculated with bacterial strains. In addition, plants inoculated with, B. cereus and B. aerius showed greater stomata opening than plants grown on soil contaminated with heavy metals, whose stomata were almost closed. These results suggested that both bacterial strains enhanced plant growth by reducing oxidative stress caused by metals.

Clinical utility of CLL-IPI scoring system in Pakistani Chronic Lymphocytic Patients: A single center experience.

Objectives: To determine validity of the CLL International prognostic index (IPI) scoring system in Pakistani chronic lymphocytic leukemia patients, as the validity and universal applicability of various prognostic scoring systems such as the CLL-IPI remains a challenge, particularly in under-developed countries like Pakistan. Methods: This prospective single center study was conducted at Department of Hematology, University of Health Sciences, Lahore and included sixty patients with CLL diagnosed between July, 2019 to July, 2022. Patients were followed for a period of two years and 02 year overall survival (OS) was noted. Risk stratification was conducted according to CLL-IPI prognostic model. Results: Among 60 patients, the mean age was 60±11years. Advanced Binet stage B+C and elevated ß2-microglobulin >3.5mg/L was observed in 73.3% and 38.3% patients respectively. The estimated median 02 years OS was 16.5 months (95% CI: 10-20 months). In total, 40 of 60 CLL patients (67%) were accessible for follow-up analyses. For the present CLL cohort, 25% patients (n = 10) were classified as CLL-IPI low risk and intermediate risk group, 35% (n = 14) as high risk and 15% (n = 06) as very high-risk group. However, this classification of patients according to CLL-IPI did not yield significant differences in terms of OS (p = 0.24), although the median OS of CLL-IPI very high-risk group was noted as only six months and was not reached for low and intermediate risk groups. Conclusion: To conclude, clinical validation of CLL-IPI scoring system could not be established for the present CLL cohort and needs to be evaluated in further studies with larger sample size.

RNAseq of diverse spring wheat cultivars released during last 110 years.

Here, we performed RNA-seq based expression analysis of root and leaf tissues of a set of 24 historical spring wheat cultivars representing 110 years of temporal genetic variations. This huge 130 tissues RNAseq dataset was initially used to study expression pattern of 97 genes regulating root growth and development in wheat. Root system architecture (RSA) is an important target for breeding stress-resilient and high-yielding wheat cultivars under climatic fluctuations. However, root transcriptome analysis is usually obscured due to challenges in root research due to their below ground presence. We also validated the dataset by performing correlation analysis between expression of RSA related genes in roots and leaves with 25 root traits analyzed under varying moisture conditions and 10 yield-related traits. The Pearson's correlation coefficients between root phenotypes and expression of root-specific genes varied from -0.72 to 0.78, and strong correlations with genes such as DRO1, TaMOR, ARF4, PIN1 was observed. The presented datasets have multiple uses such as a) studying the change in expression pattern of genes during time, b) differential expression of genes in two very important tissues of wheat i.e., leaf and roots, and c) studying customized expression of genes associated with important phenotypes in diverse wheat cultivars. The initial findings presented here provided key insights into understanding the transcriptomic basis of phenotypic variability of RSA in wheat cultivars.

The NWRD Dataset: An Open-Source Annotated Segmentation Dataset of Diseased Wheat Crop.

Wheat stripe rust disease (WRD) is extremely detrimental to wheat crop health, and it severely affects the crop yield, increasing the risk of food insecurity. Manual inspection by trained personnel is carried out to inspect the disease spread and extent of damage to wheat fields. However, this is quite inefficient, time-consuming, and laborious, owing to the large area of wheat plantations. Artificial intelligence (AI) and deep learning (DL) offer efficient and accurate solutions to such real-world problems. By analyzing large amounts of data, AI algorithms can identify patterns that are difficult for humans to detect, enabling early disease detection and prevention. However, deep learning models are data-driven, and scarcity of data related to specific crop diseases is one major hindrance in developing models. To overcome this limitation, in this work, we introduce an annotated real-world semantic segmentation dataset named the NUST Wheat Rust Disease (NWRD) dataset. Multileaf images from wheat fields under various illumination conditions with complex backgrounds were collected, preprocessed, and manually annotated to construct a segmentation dataset specific to wheat stripe rust disease. Classification of WRD into different types and categories is a task that has been solved in the literature; however, semantic segmentation of wheat crops to identify the specific areas of plants and leaves affected by the disease remains a challenge. For this reason, in this work, we target semantic segmentation of WRD to estimate the extent of disease spread in wheat fields. Sections of fields where the disease is prevalent need to be segmented to ensure that the sick plants are quarantined and remedial actions are taken. This will consequently limit the use of harmful fungicides only on the targeted disease area instead of the majority of wheat fields, promoting environmentally friendly and sustainable farming solutions. Owing to the complexity of the proposed NWRD segmentation dataset, in our experiments, promising results were obtained using the UNet semantic segmentation model and the proposed adaptive patching with feedback (APF) technique, which produced a precision of 0.506, recall of 0.624, and F1 score of 0.557 for the rust class.

Blockchain enabled data security in vehicular networks.

Recently, researchers have applied blockchain technology in vehicular networks to take benefit of its security features, such as confidentiality, authenticity, immutability, integrity, and non-repudiation. The resource-intensive nature of the blockchain consensus algorithm makes it a challenge to integrate it with vehicular networks due to the time-sensitive message dissemination requirements. Moreover, most of the researchers have used the Proof-of-Work consensus algorithm, or its variant to add a block to a blockchain, which is a highly resource-intensive process with greater latency. In this paper, we propose a consensus algorithm for vehicular networks named as Vehicular network Based Consensus Algorithm (VBCA) to ensure data security across the network using blockchain that maintains a secured pool of confirmed messages exchanged in the network. The proposed scheme, based on a consortium blockchain, reduces average transaction latency, and increases the number of confirmed transactions in a decentralized manner, without compromising the integrity and security of data. The simulation results show improved performance in terms of confirmed transactions, transaction latency, number of blocks, and block creation time.

Diagnostic Accuracy Of Contrast Enhanced Ct For Detection Of Renal Cell Carcinoma Taking Histopathology As Gold Standard.

BACKGROUND: Renal cell carcinoma being the commonest primary renal malignancy of adulthood accounts for approximately 80-90% renal malignant lesions. The purpose of radiological imaging modalities when devising the treatment options for renal masses is crucial as it significantly influence the clinical outcome and prognosis of the disease. Subjective impression by a radiologist for diagnosing a mass lesion is known to be critical and its precision is improved by contrast enhanced CT as demonstrated by certain retrospective analyses. We aimed to ascertain the diagnostic accuracy of contrast enhanced computed tomography to diagnose renal cell cancers by verifying through histopathology reported diagnoses. METHODS: This Cross-sectional (validation) study was carried out in Radiology and Urology departments of Ayub Teaching Hospital; Abbottabad, from 1st November 2020 to 30th April 2022. The study population included all admitted symptomatic patients with age range 18-70 years of either gender. The patients were subjected to detailed clinical examination and history and an ultrasound and contrast enhanced CT abdomen and pelvis. CT scans were reported under supervision of single consultant radiologist. Data was analysed in SPSS version 20.0. RESULTS: Mean age of the patients was 38.88±11.62 years ranging from 18-70 years and mean duration of symptoms was 54.64±49.171 ranging from 3-180 days. All of the total 113 patients underwent contrast enhanced CT scan and later operated to confirm the diagnoses by histopathology. The comparison yielded true positive (TP) cases to be 67, True Negative (TN) 16, False Positive (FP) 26, and 4 False Negative (FN) as per CT scan diagnoses. CT scan had a diagnostic Accuracy of 73.45% with 94.37% sensitivity and 38.10% specificity. CONCLUSIONS: Contrast-enhanced CT has a high sensitivity for making the diagnosis of renal cell carcinoma; however, its specificity is low. A multidisciplinary approach is necessary to overcome the low specificity. Therefore, collaboration between radiologists and urologic oncologists should be considered while devising treatment plan for patients.

Moringa oleifera smoke induced positive changes in biochemical, metabolic, and antioxidant profile of rice seedling under cadmium stress.

Cadmium as a heavy metal contaminates the agricultural soil and effect plant growth due to rapid increases in industrialization and anthropogenic activities. Smoke water of Moringa oleifera was used in the current study to alleviate the effect of cadmium on the physiological, biochemical, metabolic, and antioxidant profile of Basmati 385 and Shaheen Basmati seedling. Cadmium stress of 100, 200, and 400 µM were given to 28 days-old seedlings along with smoke water (1:1,000) for one week in hydroponic culture. As a result, Cd+2 toxicity negatively affects the seedling length, fresh and dry weight, photosynthetic pigment, and electrolytes leakage, while the application of smoke water alleviated those effects. Furthermore, Cd+2 content, cell injury, metabolic parameters (proline, total soluble sugar), and antioxidants (peroxidase, catalase) were increased with increasing Cd+2 concentration while smoke water-treated seedlings showed reduction at high concentration. From present study, it can be concluded that smoke water had some regulatory compound which could reduce the Cd+2 stress level in rice seedlings and improve plant growth.

Moringa (Moringa oleifera) is a famous medicinal plant. Its fruits, roots, leaves, and flowers are used as vegetables in different part of the world. Moringa leaves are rich source of vitamin A, C riboflavin, beta carotenoid, iron, and phenolic acid and also reported for antioxidant properties. The unique aspect of current study is use to M. oliferia leaves for the preparation of smoke water, because of its nutritional and antioxidant properties and further its effects was observed on rice seedling under cadmium stress, which has not been evaluated or reported earlier.

Diagnostic Accuracy Of Chest Radiograph In Interstitial Lung Disease As Confirmed By High Resolution Computed Tomography (HRCT) Chest.

Background: Interstitial Lung Disease (ILD) - an umbrella term encompassing about 100 different pathophysiological entities are usually defined as an irreversible, progressive fibrotic changes in the lung parenchyma that leads to difficult breathing and reduced gaseous exchange at the alveolar level. We aimed to quantify the validity of CXR for the diagnosis of ILD taking HRCT as gold standard in the population of Hazara division. Methods: This validation study was conducted during 11 June till 12 Dec 2019 in the radiology department of Ayub Teaching Hospital, Abbottabad on 60 adult patients aged 30-60 years who presented with progressive exertional dyspnoea. The patients were enrolled into the study via non probability, consecutive sampling technique. All the data was recorded on a self-developed structured questionnaire. Data was analyzed using SPSS version 20. Results: The mean age of study participants was 47.18±6.90 years SD with a range of 36-60years. The mean of time duration of symptoms was 9.66±1.7 years with a range of 7-12 years. There were 40 (66.7%) males and 20 (33.3%) females with a male to female ratio of 2:1. The sensitivity, specificity, PPV, NPV and Diagnostic Accuracy of CXR for the diagnosis of ILD as compared to HRCT was calculated to be 65.5%, 20%, 90%, 5% and 61.66% respectively. A chi square test of significance yielded a value of 0.51 for the diagnostic accuracy of CXR for ILD as compared to HRCT. Diagnostic ODDs ratio and Youden's Index yielded values of 47.37% and 0.145 respectively. All these parameters' points towards a lower utility of CXR for the diagnostic purpose in patients suspected with ILD. Conclusion: Chest x-ray is simple, non-invasive, economical and readily available alternative to HRCT but its specificity and diagnostic accuracy are questionable. CXR is a recommendable first line investigation for chest pathology workup but for a definitive diagnosis, one should not depend on CXR as it can miss the diagnosis.

Mental and physical health correlates of the psychological impact of the first wave of COVID-19 among general population of Pakistan.

The primary aim was to assess the role of mental and physical health of COVID-19 and its psychological impact in the general population of Pakistan during the first wave of COVID-19. It was hypothesized that there would be a significant predictive association among socio-demographic variables, psychological impact and mental health status resulting from COVID-19, and poor self-reported physical health would be significantly associated with adverse psychological impact and poor mental health status because of COVID-19. A cross-sectional survey research design was used in which 1,361 respondents were sampled online during lockdown imposed in the country. The Impact of Events Scale-Revised (IES-R) was used to assess the psychological impact of COVID-19, and the Depression Anxiety Stress Scales (DASS-21) was used to assess participants' mental health status. 18% of the respondents reported moderate to severe event-specific distress, 22.6% reported moderate to severely extreme depression, 29% reported moderate to extreme anxiety, and 12.1% reported moderate to extreme stress. Female gender, having graduate-level education, currently studying, and self-reported physical symptoms (persistent fever, chills, headache, cough, breathing difficulty, dizziness, and sore throat) were significantly associated with higher levels of psychological impact exhibited through higher scores on the IES-R and poorer mental health status exhibited through higher scores on the DASS-21 (Depression, Anxiety, and Stress Subscales).

Kisspeptin-10 in cryodiluent improves the post-thaw quality of Nili-Ravi buffalo (Bubalus bubalis) bull spermatozoa.

Effects of kisspeptin-10 as antioxidant in cryodiluent were evaluated on post-thaw quality of buffalo spermatozoa. Qualified semen samples from five bulls were pooled, divided into five aliquots and extended in Tris-citric acid cryodiluent containing differential doses of kisspeptin-10 (5, 10, 15, and 20 µmol L-1 and negative control. Extended sperm suspension was cooled to 4°C, packaged in 0.54 ml straws and cryopreserved. At post-thawing, catalase (unit mg-1 ), peroxidase (unit mg-1 ) and reduced glutathione (µmol L-1 ) levels were highest (p < 0.05) with 20 µmol L-1 of kisspeptin-10 as compared to negative control. Moreover, lipid peroxidation (nmol L-1  min-1  mg protein-1 ) level was lowest (p < 0.05) with 20 µmol L-1 of kisspeptin-10. Sperm progressive motility (%), rapid velocity (%) and kinematics were higher (p < 0.05) with 15 and 20 µmol L-1 of kisspeptin-10 as compared to negative control. Supra-vital plasma membrane integrity (%), viable sperm with intact acrosome (%) and DNA integrity (%) were improved (p < 0.05) with all doses of kisspeptin-10 as compared to negative control. It was concluded that the addition of 15 and 20 µmol L-1 kisspeptin-10 in cryodiluent ameliorated the overall frozen-thawed quality parameters of Nili-Ravi buffalo spermatozoa.

Validation of double freezing protocol for Beetal buck (Capra hircus) spermatozoa.

The study aimed to validate the double versus single freezing protocol for Beetal buck (Capra hircus) spermatozoa in tris-citric acid (TCA) based extender both in terms of quality and fertilization potential. Computer-assisted sperm motion and kinematic (CASA) variables, i.e. total (%), and progressive motilities (TM and PM, %) and rapid velocity (RV, %), average path (VAP, µm/s), straight line (VSL, µm/s) and curved line velocities (VCL, µm/s), straightness, (VSL/VAP, %) and linearity, (VSL/VCL, %) as well as supra-vital plasma membrane integrity (SV-PMI, %), mitochondrial membrane potential (MMP, %), viable/intact acrosome (V-IACR, %) and DNA integrity (DNA-I, %) had significantly greater values (p < .05) during single freeze-thawing as compared with the double freeze-thawing at 0, 30, 90, 150 and 210 days, respectively. All CASA and other assays alone did not show significant differences (p > .05) between both freeze-thaw cycles at all treatment durations, respectively. No statistical significance (p > .05) was observed for the in vivo fertility between single (n = 84/141 = 59.72%) and double freeze-thawing (n = 72/136 = 52.9%) cycles, respectively. In conclusion, sperm motion, kinematics, plasma membrane, acrosome, mitochondria and DNA integrities and in vivo fertility are acceptable after the double freezing protocol despite being lower than after one freeze cycle in Beetal buck.

A CPW fed quad-port MIMO DRA for sub-6 GHz 5G applications.

The present work investigates a novel four-port, multiple-input multiple-output (MIMO), single element dielectric resonator antenna (DRA) for sub-6 GHz band. The DRA is designed and fabricated into a symmetric cross shape and fed using a coplanar waveguide (CPW) feed. A single radiator with four ports is rarely found in the literature. The -10 dB impedance bandwidth covered by the antenna is from 5.52 GHz to 6.2 GHz (11.6%) which covers fifth generation (5G) new radio (NR) bands N47 and wireless local area network (WLAN) IEEE 802.11a band. The isolation between orthogonal ports is about 15 dB while the isolation between opposite ports is 12 dB. The radiation pattern of the proposed antenna is bidirectional due to the absence of a ground plane below the DRA. The orthogonal modes excited in the DRA are [Formula: see text] and [Formula: see text] through the four symmetrical CPW feeds. The simulated and measured results of the proposed design show that MIMO characteristics are achieved by pattern diversity between the ports. Due to the perfect symmetry of the design, the proposed work could be extended to MIMO array applications as well.

Process optimization and antioxidative activity of polyphenols derived from different seaweed species Sargassum Miyabei, Undaria Pinnatifida Suringar, and Sargassum Thunbergii.

The aim of this study was to extract the polyphenols from three major seaweed species such as Sargassum miyabei, Undaria pinnatifida suringar, and Sargassum thunbergii, which are found in the coastal province (Guangdong), a longest coastal line in China. It was found that the Sargassum thunbergii produced more polyphenols (34.99 mg) as compared to Sargassum miyabei (23.26 mg) and Undaria pinnatifida suringar (25.34 mg), respectively. The orthogonal method was used for the extraction of phenolic compounds and extraction condition of each seaweed species was optimized. The antioxidant activity of extracted polyphenols from all three species stated that the polyphenols extracted from Undaria pinnatifida suringar demonstrated the highest antioxidative activity. Furthermore, gas chromatography-mass spectrometry (GC-MS) was used for qualitative analysis of polyphenols, which revealed that the major components of polyphenols extracted from Undaria pinnatifida suringar were gallic acid and arbutin followed by syringate in Sargassum miyabei and phloretin in Sargassum thunbergii.

The impact of betaine supplementation in quail diet on growth performance, blood chemistry, and carcass traits.

The study aimed to investigate the effect of various doses of betaine supplemented dietary on Japanese quail performance, carcass characteristics, and blood chemistry. Therefore, 400 seven days old Japanese quails were classified randomly into four equal groups. Each group was subdivided into five replicates of 20 birds each. Four rations were formulated using four different betaine levels (0, 0.75, 1.5 and 2.25 g/kg, respectively) for five successive weeks. All groups received feed and clean water ad-libitum. The results of this trial indicated that the feed intake was lowered in groups fed with betaine (p ≤ 0.05) when compared with the control one. The highest weight gain (p ≤ 0.05) was noticed in groups fed diets BS4 (betaine supplementation at the rate of 2.25 g/kg). No difference among groups was observed in body length, shank length, shank diameter, and keel bone length or breast width. Also, the carcass weight and breast yield were highest (p ≤ 0.05) in the group reared on the BS4 diet. In addition, intestinal length and weight were significantly higher (p ≤ 0.05) in groups fed betaine with a concentration of 2.25 g/kg. Fat weight was lower in the group fed BS4 than in the untreated group. Significantly higher values of high-density lipoprotein (p ≤ 0.05) were observed in the group fed BS4. All groups fed a ration containing betaine showed lower levels of liver enzymes such as alanine amino transferase, alkaline phosphatase, and aspartate amino transferase (p ≤ 0.05) and lowered low-density lipoprotein level. The quails fed BS4 had the greatest growth hormones and insulin (p ≤ 0.05) and the lowest thyroxin level. We concluded that dietary betaine supplementation positively impacts Japanese quail growth performance, carcass traits, and blood chemistry.

Genetic Variability and Aggressiveness of Tilletia indica Isolates Causing Karnal Bunt in Wheat.

Karnal bunt caused by Tilletia indica is a quarantine disease of wheat causing huge economic losses due to the ban on the import of bunted grains. This study was designed to characterize pathogenicity, aggressiveness and genetic diversity of 68 Tilletia indica isolates collected from different geographic regions of Pakistan. Forty-six isolates were tested for their pathogenicity on eight wheat varieties, out of which three were non-aggressive. The coefficient of infection (CI) ranged from 15.73% (PB-25) to 10% (PB-68, PB-60, and PB-43). The isolates collected from central Punjab showed higher infestation compared to other isolates. Among the wheat varieties used for the aggressiveness study, WL-711 showed susceptible reaction with 10.88% CI, while NIFA-Barsat, HD-29, Janbaz, Bakhtawar-92, Tatara, and AARI 2011 showed resistance to the highly resistant response. These isolates were amplified using 31 random amplified polymorphic DNA (RAPD) markers and 32 inter-simple sequence repeat (ISSR) markers for diversity analysis. The principal component analysis (PCA) and analysis of molecular variance (AMOVA) showed greater divergence among isolates collected from Punjab and Khyber Pakhtunkhwa (KPK), with a moderate level of admixture. The isolates from Faisalabad (Punjab) were more aggressive compared to isolates from KPK and were clearly separated based on PCA, indicating the significant genetic distance in the populations. Our findings will assist breeders and pathologists in better understanding the pathogenic variability in Tilletia indica and in subsequent disease management.

Genome-Wide Association and Genomic Prediction for Stripe Rust Resistance in Synthetic-Derived Wheats.

Stripe rust caused by Puccnina striiformis (Pst) is an economically important disease attacking wheat all over the world. Identifying and deploying new genes for Pst resistance is an economical and long-term strategy for controlling Pst. A genome-wide association study (GWAS) using single nucleotide polymorphisms (SNPs) and functional haplotypes were used to identify loci associated with stripe rust resistance in synthetic-derived (SYN-DER) wheats in four environments. In total, 92 quantitative trait nucleotides (QTNs) distributed over 65 different loci were associated with resistance to Pst at seedling and adult plant stages. Nine additional loci were discovered by the linkage disequilibrium-based haplotype-GWAS approach. The durable rust-resistant gene Lr34/Yr18 provided resistance in all four environments, and against all the five Pst races used in this study. The analysis identified several SYN-DER accessions that carried major genes: either Yr24/Yr26 or Yr32. New loci were also identified on chr2B, chr5B, and chr7D, and 14 QTNs and three haplotypes identified on the D-genome possibly carry new alleles of the known genes contributed by the Ae. tauschii founders. We also evaluated eleven different models for genomic prediction of Pst resistance, and a prediction accuracy up to 0.85 was achieved for an adult plant resistance, however, genomic prediction for seedling resistance remained very low. A meta-analysis based on a large number of existing GWAS would enhance the identification of new genes and loci for stripe rust resistance in wheat. The genetic framework elucidated here for stripe rust resistance in SYN-DER identified the novel loci for resistance to Pst assembled in adapted genetic backgrounds.

Dextran-Mimetic Quantum Dots for Multimodal Macrophage Imaging In Vivo, Ex Vivo, and In Situ.

Macrophages are white blood cells with diverse functions contributing to a healthy immune response as well as the pathogenesis of cancer, osteoarthritis, atherosclerosis, and obesity. Due to their pleiotropic and dynamic nature, tools for imaging and tracking these cells at scales spanning the whole body down to microns could help to understand their role in disease states. Here we report fluorescent and radioisotopic quantum dots (QDs) for multimodal imaging of macrophage cells in vivo, ex vivo, and in situ. Macrophage specificity is imparted by click-conjugation to dextran, a biocompatible polysaccharide that natively targets these cell types. The emission spectral band of the crystalline semiconductor core was tuned to the near-infrared for optical imaging deep in tissue, and probes were covalently conjugated to radioactive iodine for nuclear imaging. The performance of these probes was compared with all-organic dextran probe analogues in terms of their capacity to target macrophages in visceral adipose tissue using in vivo positron emission tomography/computed tomography (PET/CT) imaging, in vivo fluorescence imaging, ex vivo fluorescence, post-mortem isotopic analyses, and optical microscopy. All probe classes exhibited equivalent physicochemical characteristics in aqueous solution and similar in vivo targeting specificity. However, dextran-mimetic QDs provided enhanced signal-to-noise ratio for improved optical quantification, long-term photostability, and resistance to chemical fixation. In addition, the vascular circulation time for the QD-based probes was extended 9-fold compared with dextran, likely due to differences in conformational flexibility. The enhanced photophysical and photochemical properties of dextran-mimetic QDs may accelerate applications in macrophage targeting, tracking, and imaging across broad resolution scales, particularly advancing capabilities in single-cell and single-molecule imaging and quantification.

Combined application of two Bacillus species enhance phytoremediation potential of Brassica napus in an industrial metal-contaminated soil.

This study aimed to assess the impact of individual as well as combined application of Lysinibacillus macroides and Bacillus safensis in phytoremediation potential of Brassica napus grown in soil contaminated by industrial effluents. In response to five metals; copper, chromium, nickel, lead, and cadmium, results revealed that germination percentage, fresh and dry weights, and photosynthetic pigments of B. napus decreased under contaminated soil. On the other hand, electrolyte leakage due to cellular injury, metabolites (proline and glycine betaine), antioxidant enzymes (superoxide dismutase, catalase, peroxidase, ascorbate peroxidase), accumulation of hydrogen peroxide and metals in plant's roots, shoots and leaves increased. Inoculation significantly reduced these effects as proved by the enhancement of germination percentage, fresh and dry biomass, and photosynthetic pigments. Simultaneously, the antioxidant enzymes, metabolites contents (proline and glycine betaine) and metal concentrations in plant's roots, shoots and leaves decreased. Combined application of both Bacilli strains was found more effective as compared to individual inoculation. It was concluded that metal resistant Bacillus species in combination had growth effects on B. napus and enhanced its phytoremediation efficiency in contaminated soil.Novelty statementBrassica napus; a hyper-accumulator of metals, loses phytoremediation potential with the passage of growth. Two Bacillus species (Lysinibacillus macroides and Bacillus safensis) having known bioremediation abilities were employed individually as well as in combination under metals contaminated soil to increase phytoremediation efficiency of B. napus. The metals containing soil used is a unique aspect in this study because selected soil, contaminated by industrial effluents, has not been evaluated or reported earlier. Combined application of Bacilli improved phytoremediation potential of B. napus more as compared to application of individual Bacillus strain which is yet another unique aspect of this investigation.