Morphological and molecular characterization of new plant type core set for yield and culm strength traits in rice (Oryza sativa L.)

New plant type core set comprising indica and tropical japonica accessions along with checks were evaluated for yield and culm strength related traits and characterized with gene specific markers viz., Gn1a, DEP1, Ghd7, SPL14, GS5, TGW6 and SCM2. Analysis of variance revealed significant differences as well as presence of variability among the genotypes for all the traits. Seven genotypes (IRGC25510, IRGC1742, Haorei machang, Azhoghi, Thangmoi, BPT5204 and Swarnadhan) do not possess similar allele as that of the assessed genes based on combined analysis for all the traits and genes. Of them, four genotypes IRGC1742, Azhoghi, BPT5204 and Swarnadhan possess ideal trait combination (90–100 days to 50% flowering, 100–120 cm plant height, grain number of > 200, 11–15 productive tillers) but with weak culm can be ideal sources for identification of new genes for yield attributing traits and direct introgression of SCM2. Based on single trait-gene analysis, nine trait wise donors with high value for the trait (also with desirable plant type) but without similar allele of the corresponding gene were identified. One genotype IRGC7486 with high grain number (300), four genotypes (IRGC50448, IRGC43741, IRGC15147 and IRGC39111) with strong culm (1195–2655 g.f), three genotypes viz., IRGC15147, IRGC39111 and IRGC10658 with high panicle weight and one genotype Solumpiket with high 1000-grain weight and high panicle weight can be considered for identification of novel gene(s) for respective traits.

     

Quick and accurate detection of <Emphasis Type="Italic">Fusarium oxysporum</Emphasis> f. sp. <Emphasis Type="Italic">carthami</Emphasis> in host tissue and soil using conventional and real-time PCR assay

Safflower wilt, caused by Fusarium oxysporum f. sp. carthami (Foc) is a major limiting factor for safflower (Carthamus tinctorius) production worldwide. In India alone, about 40–80% disease incidence has been reported. A rapid, efficient, specific, and sensitive diagnostic technique for Foc is therefore crucial to manage Fusarium wilt of safflower. Twenty-five isolates of F. oxysporum formae speciales infecting other crops, 17 isolates of Fusarium spp. and seven isolates of other fungal pathogens of safflower along with 75 Foc isolates were used for identification of band specific to Foc using inter-simple sequence repeat (ISSR) analysis. Out of 70 ISSR primers, the one that specifically amplified a 490 bp fragment from all the Foc isolates was selected. Sequence of the amplified fragment was utilized to design sequence characterized amplified region (SCAR) primers (FocScF/FocScR). The primer pair unambiguously and exclusively amplified a DNA fragment of approximately 213 bp in all the 75 Foc isolates. The primer set was able to detect as low as 10 pg of Foc genomic DNA using conventional PCR, while the SCAR primers when coupled with real-time qPCR demonstrated detection limits of 1 pg for Foc genomic DNA and 1000 conidia/g for soil. The assay enabled reliable diagnosis of Foc DNA in contaminated safflower fields and expedited Foc detection at 72 h post inoculation in asymptomatic seedlings. This method facilitates quick and precise detection of Foc in plant and soil samples and can be exploited for timely surveillance and sustainable management of the disease.     

QSAR modeling,pharmacophore-based virtual screening,and ensemble docking insights into predicting potential epigallocatechin gallate (EGCG) analogs against epidermal growth factor receptor

Epigallocatechin gallate (EGCG) is a major polyphenols of green tea may have the possibility to inhibit epidermal growth factor receptor (EGFR) activity and lead to reduce non-small cell lung cancer (NSCLC) progression. However, EGCG has some toxic features; moreover, there is a lack of explorations into the molecular interaction mechanisms of EGCG and the EGFR. In this examination, integration of quantitative structure–activity relationship (QSAR) modeling, pharmacophore-based virtual screening, and ensemble docking approaches were used to predict potential novel EGCG analogs as effective EGFR inhibitors. QSAR modeling of logP and logS predictions and toxicity endpoint investigation for a set of 82 compounds were shown good predictive ability and robustness from the applicability domain and confusion matrix elucidations. Virtual screening and docking studies revealed that seven high potential EGCG analogs as strong EGFR binders. Molecular interactions interpretations indicated some insights into the structural features of ligands that efficiently interfere with mutation possible residues (Gly⁷¹⁹ and Thr⁷⁹⁰) of the EGFR. The hydrogen bonds, hydrophobic interactions, atomic π-cation interactions and salt bridges of ligands are contributing additional stability to receptor structure, which can lead to blocking the intracellular protein-tyrosine kinase activity, including EGFR associated pathways activation in NSCLC. Therefore, this can characterize as a block-cluster mechanism between EGCG analogs and EGFR complexes. In silico anti-EGFR and anticancer activity predictions suggested that, ligands could act as promising pharmacological, anticancer, and drug-like templates of EGFR towards moderating the NSCLC progressions. These results and provided pinpoints could be beneficial to recognize probable therapeutic targets for NSCLC therapy.     

The bacteriophage, its role in immunology: how Macfarlane Burnet's phage research shaped his scientific style

The Australian scientist Frank Macfarlane Burnet-winner of the Nobel Prize in 1960 for his contributions to the understanding of immunological tolerance-is perhaps best recognized as one of the formulators of the clonal selection theory of antibody production, widely regarded as the 'central dogma' of modern immunology. His work in studies in animal virology, particularly the influenza virus, and rickettsial diseases is also well known. Somewhat less known and publicized is Burnet's research on bacteriophages, which he conducted in the first decade of his research career, immediately after completing medical school. For his part, Burnet made valuable contributions to the understanding of the nature of bacteriophages, a matter of considerable debate at the time he began his work. Reciprocally, it was while working on the phages that Burnet developed the scientific styles, the habits of mind and laboratory techniques and practices that characterized him for the rest of his career. Using evidence from Burnet's published work, as well as personal papers from the period he worked on the phages, this paper demonstrates the direct impact that his experiments with phages had on the development of his characteristic scientific style and approaches, which manifested themselves in his later career and theories, and especially in his thinking regarding various immunological problems.     

Ancestral sequence reconstruction in primate mitochondrial DNA: compositional bias and effect on functional inference

Reconstruction of ancestral DNA and amino acid sequences is an important means of inferring information about past evolutionary events. Such reconstructions suggest changes in molecular function and evolutionary processes over the course of evolution and are used to infer adaptation and convergence. Maximum likelihood (ML) is generally thought to provide relatively accurate reconstructed sequences compared to parsimony, but both methods lead to the inference of multiple directional changes in nucleotide frequencies in primate mitochondrial DNA (mtDNA). To better understand this surprising result, as well as to better understand how parsimony and ML differ, we constructed a series of computationally simple "conditional pathway" methods that differed in the number of substitutions allowed per site along each branch, and we also evaluated the entire Bayesian posterior frequency distribution of reconstructed ancestral states. We analyzed primate mitochondrial cytochrome b (Cyt-b) and cytochrome oxidase subunit I (COI) genes and found that ML reconstructs ancestral frequencies that are often more different from tip sequences than are parsimony reconstructions. In contrast, frequency reconstructions based on the posterior ensemble more closely resemble extant nucleotide frequencies. Simulations indicate that these differences in ancestral sequence inference are probably due to deterministic bias caused by high uncertainty in the optimization-based ancestral reconstruction methods (parsimony, ML, Bayesian maximum a posteriori). In contrast, ancestral nucleotide frequencies based on an average of the Bayesian set of credible ancestral sequences are much less biased. The methods involving simpler conditional pathway calculations have slightly reduced likelihood values compared to full likelihood calculations, but they can provide fairly unbiased nucleotide reconstructions and may be useful in more complex phylogenetic analyses than considered here due to their speed and flexibility. To determine whether biased reconstructions using optimization methods might affect inferences of functional properties, ancestral primate mitochondrial tRNA sequences were inferred and helix-forming propensities for conserved pairs were evaluated in silico. For ambiguously reconstructed nucleotides at sites with high base composition variability, ancestral tRNA sequences from Bayesian analyses were more compatible with canonical base pairing than were those inferred by other methods. Thus, nucleotide bias in reconstructed sequences apparently can lead to serious bias and inaccuracies in functional predictions.