The gluten strength and the composition of high- and low-molecular-weight glutenin subunits (HMWGSs and LMWGSs) of fifty-one durum wheat genotypes were evaluated using sodium dodecyl sulfate (SDS) sedimentation testing and SDS polyacrylamide gel electrophoresis (SDS-PAGE). This study examined the allelic variability and the composition of HMWGSs and LMWGSs in T. durum wheat genotypes. SDS-PAGE was proven to be a successful method for identifying HMWGS and LMWGS alleles and their importance in determining the dough quality. The evaluated durum wheat genotypes with HMWGS alleles 7+8, 7+9, 13+16, and 17+18 were highly correlated with improved dough strength. The genotypes containing the LMW-2 allele displayed stronger gluten than those with the LMW-1 allele. The comparative in silico analysis indicated that Glu-A1, Glu-B1, and Glu-B3 possessed a typical primary structure. The study also revealed that the lower content of glutamine, proline, glycine, and tyrosineand the higher content of serine and valine in the Glu-A1 and Glu-B1 glutenin subunits, and the higher cysteine residues in Glu-B1 and lower arginine, isoleucine, and leucine in the Glu-B3 glutenin, are associated with the suitability of durum wheat for pasta making and the suitability of bread wheat with good bread-making quality. The phylogeny analysis reported that both Glu-B1 and Glu-B3 had a closer evolutionary relationship in bread and durum wheat, while the Glu-A1 was highly distinct. The results of the current research may help breeders to manage the quality of durum wheat genotypes by exploiting the allelic variation in glutenin. Computational analysis showed the presence of higher proportions of glutamine, glycine, proline, serine, and tyrosine than the other residues in both HMWGSs and LMWGSs. Thus, durum wheat genotype selection according to the presence of a few protein components effectively distinguishes the strongest from the weakest types of gluten.

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Background Since the emergence of the pandemic novel pneumonia (COVID-19) disease in Wuhan city in China in November 2019, it is becoming holistically urgent to discover and definitely determine the potential origin of causative virus of this disease, SARS-CoV2 to understand its pathogenic action an better design proper remedies. Methods Using bioinformatics analysis, the whole genome of SARS-CoV2 emerging in 2020 and its deduced proteome were compared with the corresponding information on SARS-CoV-GD01 having emerged in 2003 in China. The genomes squences of the two viruses were obtained from NCBI. Alignment of protein sequences for all genes of both genomes were performed and displayed using Clustal Omega data base. Results Bioinformatics analysis revealed 10 genes encoding 10 proteins in the SARS-CoV2 genome instead of 11 genes encoding 12 proteins in the case of SARS-CoV-GD01, where the first gene is uniquely encoding two glycoproteins. Additionally, bio-informatics analysis disclosed variations in SARS-CoV2 genome size as a result of nucleotides insertion and deletion in all genes of the virus especially orf1ab gene, spike gene, and ORF10 gene. The most conspicuous alteration is apparently noticed in the spike gene, encoding for a novel protein enabling the virus to attach to the cell membrane via the interaction with host cell receptor, initiating probably a new pathway of infection and a specific pathogenic action. This alteration is Conclusions The big alterations in the genome of SARS-CoV-2 from that of SARS-CoV-GD01 may be potentially responsible for the worldwide witnessed high virulence and accelerated spread. The qualified and quantified information presented in the current study on the SARS-CoV-2, detailing the specificity and the magnitude of genomic and proteomic alterations from SARS-CoV-GD01, developed probably during 16 years will not only enable designing right drugs and strategies of confronting the current viral version, but it may rather allow to extrapolate and foresee potential outbreaks of newer versions during the coming decades. At the time of epidemics, nonspecific ways and drugs should be resorted to for confronting emergent viral infections. Chemically modified positively charged proteins and peptides can offer a wealth of potential antiviral agents but need more clinical research.

A group of twenty faba bean rhizobial isolates was collected from two Egyptian Governorates (Dakahlia and Damitta). The isolates were further morphologically and physiologically characterized to check their growth and symbiotic performance on faba bean plants. According to remarkable lab and pots tests, five rhizobial isolates (Rh 32, Rh 6-A, Rh 3-4, Rh RL3, and Rh 8-A) were selected and subjected to further biochemical and molecular characterizations. Genetic profiling of the five promising rhizobial isolates was conducted using six ISSR-primers. Amplification of bacterial genomic DNA produced a total of 37 genomic loci, 54% of them were polymorphic and 46% were monomorphic. The rate of polymorphism ranged between 25% to 80% with an average of 54%. Clustering pattern analysis of morphological and physiological data grouped the twenty rhizobial isolates in five clusters and the five selected rhizobial isolates were falling close to each other. Clustering analysis of ISSR data grouped the the five rhizobial isolates in four clusters. Analysis based on ISSR data revealed that the lowest genetic distance was 2.00 between Rh 6-A and Rh 3-4 isolates, while the highest genetic distance of 3.61 was between Rh 32 and each of Rh 6-A, Rh 3-4, and Rh RL3 isolates. The greatest similarity measurement was 0.931 between Rh 6-A and Rh 3-4 isolates; while the lowest similarity was 0.745 between Rh 32 and Rh 3-4 isolates. It can concluded that clustering pattern analysis based on molecular data could be used in facilitating the selection of rhizobial isolates that will be promising as a source of genes for biological nitrogen fixation and plant growth-promotion.

Determining and improving drought-tolerant cultivars is a major goal of plant breeding to face climate change. The productivity of faba bean in Egypt is affected by abiotic stresses, especially drought stress. This study evaluated eight Egyptian faba bean cultivars for drought tolerance under three soil water regimes consisting of well-watered (100% field capacity), moderate drought stress (50% field capacity), and severe drought stress (25% field capacity) regimes in pots under greenhouse conditions using biochemical, physiochemical, and molecular parameters. The cultivars Nubariya 1, Nubariya 3, and Giza 716 showed the highest proline content values under 50% field capacity conditions, with 4.94, 4.39, and 4.26 mmol/g fresh weights, respectively. On the other hand, the cultivars Sakha 1, Sakha 4, Nubariya 1, and Nubariya 3 exhibited the highest proline contents (7.8, 7.53, 6.17, and 6.25, respectively) under 25% field capacity treatment. The molecular profiling was conducted using SCoT and SRAP approaches. Fresh leaves were utilized to extract the DNA, and ten primers for SRAP and six for SCoT were used in the PCR procedures. SCoT and SRAP-PCR generated 72 loci, of which, 55 were polymorphic, and 17 were monomorphic. SCoT and SRAP each had 48 and 24 total loci, respectively. The average polymorphism (%) values achieved via SCoT and SRAP were 70.93% and 80%, respectively. Based on the molecular profiles, the cluster analysis identified three clusters. The first cluster comprised Giza 716 cultivars; the second cluster included Sakha 1, Sakha 3, Sakha 4, and Akba 3300 cultivars; the third cluster comprised two cultivars Nubariya 1 and Nubariya3. According to the study’s findings, Sakha 1, Sakha 4, Nubariya 1, and Nubariya 3 are remarkable parents for developing drought-tolerant faba bean genotypes. Additionally, this study concluded that SRAP and SCoT markers recreated trustworthy banding profiles to evaluate the genetic polymorphism among faba bean cultivars, which are regarded as the cornerstone for genetic improvements in crops.