Characterization of wheat-Thinopyrum bessarabicum genetic stock for stripe rust and Karnal bunt resistance

Utilization of modern breeding techniques for developing high yielding and uniform plant types ultimately narrowing the genetic makeup of most crops. Narrowed genetic makeup of these crops has made them vulnerable towards disease and insect epidemics. For sustainable crop production, genetic variability of these crops must be broadened against various biotic and abiotic stresses. One of the ways to widen genetic configuration of these crops is to identify novel additional sources of durable resistance. In this regard crops wild relatives are providing valuable sources of allelic diversity towards various biotic, abiotic stress tolerance and quality components. For incorporating novel variability from wild relative’s wide hybridization technique has become a promising breeding method. For this purpose, wheat-Th. bessarabicum amphiploid, addition and translocation lines have been screened in field and screen house conditions to get novel sources of yellow rust and Karnal bunt resistant. Stripe rust screening under field conditions has revealed addition lines 4JJ and 6JJ as resistant to moderately resistant while addition lines 3JJ, 5JJ, 7JJ and translocation lines Tr-3, Tr-6 as moderately resistant wheat-Thinopyrum-bessarabicum genetic stock. Karnal bunt screening depicted addition lines 5JJ and 4JJ as highly resistant genetic stock. These genetic stocks may be used to introgression novel stripe rust and Karnal bunt resistance from the tertiary gene pool into susceptible wheat backgrounds.

Genetic diversity of ribosomal loci (5S and 45S rDNA) and pSc119.2 repetitive DNA sequence among four species of Aegilops (Poaceae) from Algeria

In continuation of our previous research we carried out the karyological investigation of 53 populations of four Aegilops species (A. geniculata, A. triuncialis, A. ventricosa, and A. neglecta) sampled in different eco-geographical habitats in Algeria. The genetic variability of the chromosomal DNA loci of the same collection of Aegilops is highlighted by the Fluorescence In Situ Hybridization technique (FISH) using three probes: 5S rDNA, 45S rDNA, and repetitive DNA (pSc119.2). We found that the two rDNA loci (5S and 45S) hybridized with some chromosomes and showed a large genetic polymorphism within and between the four Aegilops species, while the repetitive DNA sequences (pSc119.2) hybridized with all chromosomes and differentiated the populations of the mountains with a humid bioclimate from the populations of the steppe regions with an arid bioclimate. However, the transposition of the physical maps of the studied loci (5S rDNA, 45S rDNA, and pSc119.2) with those of other collections revealed the existence of new loci in Aegilops from Algeria.

Statistical Study Regarding the Presence of Gram Bacteria in Patients with Cardiovascular Disease and Periodontal Disease

Pathogenic bacteria, originating in the inflamed periodontium, can make their way into the body through the vascular system, either by entering the bloodstream or lymph directly or as internalized particles of immune cells. This research aims to investigate the existence of a potential connection between two pathologies – periodontitis and ischemic heart disease – by utilizing a DNA-DNA hybridization technique to highlight the presence of seven periodontal pathogens: A. actinomycetemcomitans, P. gingivalis, P. endodontalis, P. intermedia, T. forsythia, C. rectus and F. Nucleatum. The study was conducted over a period of 3 years on a sample consisting of 119 patients with cardiovascular disease and periodontal disease, divided into 3 groups by pathologies, as follows: the first group consisted of 31 patients with ischemic cardiomyopathy, the second group consisted of 43 patients with periodontal disease and ischemic cardiomyopathy, and the third group consisted of 45 patients with periodontal disease. The results show the possibility of a correlation between the composition of the bacterial flora in the group of patients with cardiac disease and those with associated pathologies. In conclusion, we may state that periodontitis may be seen as a risk factor in heart disease, which may certify the possibility of an etiological connection between the two pathologies.

STRESS DISTRIBUTION IN THE HOLLOW STIFFENED HYBRID LAMINATED COMPOSITE PANELS IN SHIP STRUCTURES UNDER SINUSOIDAL LOADING

A simplified hollow stiffened hybrid laminated plate model has been developed for the marine structures. The detailed stress analysis through the thickness of the stiffened plate based on the higher order shear deformation theory has been carried out under sinusoidal loading. The hybrid laminates are made by wrapping the GFRP laminates with CFRP at the outermost layers of the stiffened panel. This hybridization technique can be an optimum solution from the point of view of cost reduction as well as enhancement of strength properties. The layer-wise stresses for the stiffened plate have been calculated in the present paper. A 3D polynomial curve fitting technique has been used to obtain higher accuracy and consistency in the computation of stresses. The computer code has been developed using MATLAB considering the plates as eight noded isoparametric plate bending element and the stiffener has been modeled as three noded isoparametric beam element. The stiffened panel has also been analysed using the ANSYS14.0 software package considering 2D model. The results obtained from the present formulation have been compared with those available in the published literature to validate the present formulation. The stiffened panels made of GFRP, CFRP and GFRP-CFRP hybrid laminates have been studied here. An extensive parametric study has been carried out with varying fibre content in the laminates.

Novel Hybrid Intelligent Secure Cloud Internet of Things Based Disease Prediction and Diagnosis

Nowadays, more people are affected by various diseases such as blood pressure, heart failure, etc. The early prediction of diseases tends to increase the survival of affected patients by allowing preventive action. A key element for this purpose is the digitalization of the healthcare system through the Internet of Things (IoT) and cloud computing. Nevertheless, there are major problems in the cloud with the IoT due to false predictions and errors in medical data, which results in taking a longer time to receive patient details and not providing the best outcome. Data transfer through the cloud can also be hacked by attackers due to the lack of security. This leads to a challenge for medical experts to predict the diseases accurately for a specific patient. Therefore, a novel hybrid elapid encryption (HEE) method was proposed for improving the security of cloud systems. In addition, the affected person’s disease and the severity risk level were predicted and classified using the proposed novel hybridization technique of the generalized-fuzzy-intelligence-based gray wolf ant lion optimization (GFI-GWALO) method. After the disease is predicted, the alert signal is provided to the patients. Moreover, this proposed research was implemented on MATLAB. Then the proposed simulation outcome was compared with various conventional methods and showed that the proposed method has the best outcomes in terms of its security and disease prediction with 80 ms of encryption time and 78 ms of decryption time, 100% accuracy, 99.50% precision and 8 ms of processing time.

Distinct Microbial Communities in Dilated Cardiomyopathy Explanted Hearts Are Associated With Different Myocardial Rejection Outcomes

BackgroundIdiopathic dilated cardiomyopathy (IDCM) myocardial inflammation may be associated with external triggering factors such as infectious agents. Here, we searched if moderate/severe heart transplantation rejection is related to the presence of myocardial inflammation in IDCM explanted hearts, associated with microbial communities.MethodReceptor myocardial samples from 18 explanted hearts were separated into groups according to post-transplant outcome: persistent moderate rejection (PMR; n = 6), moderate rejection (MR; n = 7) that regressed after pulse therapy, and no rejection (NR; n = 5)/light intensity rejection. Inflammation was quantified through immunohistochemistry (IHC), and infectious agents were evaluated by IHC, molecular biology, in situ hybridization technique, and transmission electron microscopy (TEM).ResultsNR presented lower numbers of macrophages, as well as B cells (p = 0.0001), and higher HLA class II expression (p ≤ 0.0001). PMR and MR showed higher levels of Mycoplasma pneumoniae (p = 0.003) and hepatitis B core (p = 0.0009) antigens. NR presented higher levels of parvovirus B19 (PVB19) and human herpes virus 6 (HHV6) and a positive correlation between Borrelia burgdorferi (Bb) and enterovirus genes. Molecular biology demonstrated the presence of M. pneumoniae, Bb, HHV6, and PVB19 genes in all studied groups. TEM revealed structures compatible with the cited microorganisms.ConclusionsThis initial study investigating on infectious agents and inflammation in the IDCM explanted hearts showed that the association between M. pneumoniae and hepatitis B core was associated with a worse outcome after HT, represented by MR and PMR, suggesting that different IDCM microbial communities may be contributing to post-transplant myocardial rejection.

Analysis of genetic variability in F2 interspecific hybrids of mung bean (Vigna radiata) using inter-retrotransposon amplified polymorphism marker system

Fatmawati Y, Setiawan AB, Purwantoro A, Respatie DW, Teo CH. 2021. Analysis of genetic variability in F2 interspecific hybrids of mung bean (Vigna radiata) using inter-retrotransposon amplified polymorphism marker system. Biodiversitas 22: 4880-4889. Mung bean (Vigna radiata L. Wilczek) categorized as one of the pivotal annual crops of Vigna genera is commonly cultivated in rotation with the cereal crops during the drought season. Conversely, to ameliorate its stunted productivity, the interspecific hybridization technique has been introduced between the mung bean and the common bean to promote genetic improvement with the breeding projects in Indonesia. However, since mung bean is a self-pollinated crop and has a narrow genetic base, the selection and improvement of a specific trait using marker-assisted selection is more challenging. Hence, a precautionary investigation is imperative to evaluate the progenies resulting from interspecific hybridization using an ideal marker. This study aimed to investigate the genetic variability of the F2 population of the interspecific mung bean hybrids using retrotransposon-based markers, particularly Inter-Retrotransposon Amplified Polymorphism (IRAP) markers. In this study, we identified retrotransposon from the mung bean genome and determined the Long Terminal Repeat (LTR) sequence using the LTR Finder. The IRAP primers were designed from a conserved region of the LTR sequence. One hundred of the F2 interspecific hybrids generated from the crossing between mung bean and common bean were successfully discriminated by IRAP markers. The IRAP marker showed high heterozygosity and moderate Polymorphic Information Content (PIC) values. The IRAP markers were able to detect genetic variability in the F2 progenies resulting from the interspecific hybridization. Cluster analysis showed that 100 of the F2 progenies were grouped into three clusters. This study demonstrated that retrotransposon-based markers can offer an effective approach for evaluating the segregation in the F2 population of intercross hybrids in the mung bean.

In Situ Hybridization of PRRSV-1 Combined with Digital Image Analysis in Lung Tissues of Pigs Challenged with PRRSV-1

Betaarterivirus suid 1 and 2 are the causative agents of porcine reproductive and respiratory syndrome (PRRS), which is one of the most significant diseases of the swine industry, causing significant economic losses in the main pig producing countries. Here, we report the development of a novel, RNA-based in situ hybridization technique (RNAscope) to detect PRRS virus (PRRSV) RNA in lung tissues of experimentally infected animals. The technique was applied to lung tissues of 20 piglets, which had been inoculated with a wild-type, highly pathogenic PRRSV-1 strain. To determine the RNAscope’s applicability as a semi-quantitative method, we analysed the association between the proportion of the virus-infected cells measured with an image analysis software (QuPath) and the outcome of the real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) tests performed in parallel. The results of the quantitative approach of these two molecular biological methods show significant association (pseudo R2 = 0.3894, p = 0.004). This is the first time RNAscope assay has been implemented for the detection of PRRSV-1 in experimental animals.

Highly resolved spatial transcriptomics for detection of rare events in cells

Single-cell spatial transcriptomics technologies leveraged the potential to transcriptionally landscape sophisticated reactions in cells. Current methods to delineate such complex interplay lack the flexibility in rapid target adaptation and are particularly restricted in detecting rare transcripts. We developed a multiplex single-cell RNA In-situ hybridization technique, called ‘Molecular Cartography’ (MC) that can be easily tailored to specific applications and, by providing unprecedented sensitivity, specificity and resolution, is particularly suitable in tracing rare events at a subcellular level. Using a SARS-CoV-2 infection model, MC allows the discernment of single events in host-pathogen interactions, dissects primary from secondary responses, and illustrates differences in antiviral signaling pathways affected by SARS-CoV-2, simultaneously in various cell types.