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.

Uses, preparation and phytochemical analysis of anti-diabetic medicinal plants in the rural Murree (Pakistan).

Medicinal plants in most of societies have been a source of quality health care. The indigenous populations are getting many ethnomedicinal products form local biodiversity. The current study aimed to investigate anti-diabetic plants in 8 villages (Patriata, Surasi, Charhan, Lower toppa, Ghikagali, Kashmir point, Pindi point and Shawala) of rural Murree. The methodology included preparation of questionnaire, identification of plants and phytochemical analysis. The informants were asked about vernacular name, part used and folk recipe. The quantitative study included fidelity level, use value and relative frequency of citation of plant species. Data indicated that 30% of patients use local herbs to treat diabetes. The most significant plant species were Berberis lycium with use value of 0.50 followed by Melia azedarach with use value of 0.43 and Himalaiella heteromalla with use value of 0.33. Himalaiella heteromalla was selected for phytochemical analysis. Total flavonoid content was 7.25±0.08mg (ethanol extract) and 6.03±0.13mg (chloroform extract) quercetin equivalent/gm of extract; total phenolic content was 53.92±0.47mg (ethanol extract) and 72.75±0.48mg (chloroform extract) quercetin equivalent/gm of extract; total ß-Carotene content was 29.7µg/g in ethanol extract, and 27.26µg/g in chloroform extract while total lycopene content was 46.33µg/g (ethanol extract) and 41.54µg/g (chloroform extract) in H. heteromalla. The results suggest that medicinal plants of Murree region may be potential natural resources for antidiabetic compounds.

Genome Wide Identification and Comparative Analysis of the Serpin Gene Family in Brachypodium and Barley.

Serpins (serine protease inhibitors) constitute one of the largest and most widely distributed superfamilies of protease inhibitors and have been identified in nearly all organisms. To gain significant insights, a comprehensive in silico analysis of the serpin gene family was carried out in the model plant for temperate grasses Brachypodium distachyon and barley Hordeum vulgare using bioinformatic tools at the genome level for the first time. We identified a total of 27 BdSRPs and 25 HvSRP genes in Brachypodium and barley, respectively, showing an unexpectedly high gene number in these model plants. Gene structure, conserved motifs and phylogenetic comparisons of serpin genes supported the role of duplication events in the expansion and evolution of serpin gene family. Further, purifying selection pressure was found to be a main driving force in the evolution of serpin genes. Genome synteny analysis indicated that BdSRP genes were present in syntenic regions of barley, rice, sorghum and maize, suggesting that they evolved before the divergence of these species from common ancestor. The distinct expression pattern in specific tissues further suggested a specialization of functions during development and in plant defense. These results suggest that the LR serpins (serpins with Leu-Arg residues at P2-P1') identified here can be utilized as candidates for exploitation in disease resistance, pest control and preventing stress-induced cell death. Additionally, serpins were identified that could lead to further research aimed at validating and functionally characterizing the role of potential serpin genes from other plants.

Identification of novel vaccine candidates against carbapenem resistant Klebsiella pneumoniae: A systematic reverse proteomic approach.

Klebsiella pneumoniae is declared as antibiotic resistant by WHO, with the critical urgency of developing novel antimicrobial therapeutics as drug resistance is the second most dangerous threat after terrorism. Besides many attempts still, there is no effective vaccine available against K. pneumoniae. By utilizing all the available proteomic data we prioritized the novel proteins ideal for vaccine development using bioinformatics tools and techniques. Among the huge data, eight proteins passed all the barriers and were considered ideal candidates for vaccine development. These include: copper silver efflux system outer membrane protein (CusC), outer membrane porin protein (OmpN), Fe++ enterobactin transporter substrate binding protein (fepB), zinc transporter substrate binding protein (ZnuA), ribonuclease HI, tellurite resistant methyltransferase (the B), and two uncharacterized hypothetical proteins (WP_002918223 and WP_002892366). These proteins were also subjected to epitope analysis and were found best for developing subunit vaccine against K. pneumoniae. The study shows that the potential vaccine targets are sufficiently efficient being virulent, of outer membranous origin and can be proposed for the DNA third-generation vaccines development that would help to cope up infections caused by multidrug-resistant K. pneumoniae.

Characterization of bacterial community structure in the rhizosphere of Triticum aestivum L.

The plant microbiome influence plant health, yield and vigor and has attained a considerable attention in the present era. In the current study, native bacterial community composition and diversity colonizing Triticum aestivum L. rhizosphere at two distant geographical locations including Mirpur Azad Kashmir and Islamabad was elucidated. Based on IonS5™XL platform sequencing of respective samples targeting 16S rRNA gene that harbor V3-V4 conserved region revealed 1364 and 1254 microbial operational taxonomic units (OTUs) at ≥97% similarity and were classified into 23, 20 phyla; 70, 65 classes; 101, 87 orders; 189,180 families; 275, 271 genera and 94, 95 species. Respective predominant phyla accounting for 97.90% and 98.60% of bacterial community were Proteobacteria, Actinobacteria, Acidobacteria, Bacteroidetes, Firmicutes, Chloroflexi and Gemmatimonadetes. Diversity indices revealed variations in relative abundance of bacterial taxa owing to distant geographical locations however predominant bacterial taxa at both locations were similar. These findings paved a way to dissect consequence of associated microbiota on future wheat production system.