Forecasting incidence of dengue in Rajasthan, using time series analyses.

AIM: To develop a prediction model for dengue fever/dengue haemorrhagic fever (DF/DHF) using time series data over the past decade in Rajasthan and to forecast monthly DF/DHF incidence for 2011. MATERIALS AND METHODS: Seasonal autoregressive integrated moving average (SARIMA) model was used for statistical modeling. RESULTS: During January 2001 to December 2010, the reported DF/DHF cases showed a cyclical pattern with seasonal variation. SARIMA (0,0,1) (0,1,1) 12 model had the lowest normalized Bayesian information criteria (BIC) of 9.426 and mean absolute percentage error (MAPE) of 263.361 and appeared to be the best model. The proportion of variance explained by the model was 54.3%. Adequacy of the model was established through Ljung-Box test (Q statistic 4.910 and P-value 0.996), which showed no significant correlation between residuals at different lag times. The forecast for the year 2011 showed a seasonal peak in the month of October with an estimated 546 cases. CONCLUSION: Application of SARIMA model may be useful for forecast of cases and impending outbreaks of DF/DHF and other infectious diseases, which exhibit seasonal pattern.

CRISPR/Cas9 Mediated Genome Engineering for Improvement of Horticultural Crops.

Horticultural crops are an important part of agriculture for food as well as nutritional security. However, several pests and diseases along with adverse abiotic environmental factors pose a severe threat to these crops by affecting their quality and productivity. This warrants the effective and accelerated breeding programs by utilizing innovative biotechnological tools that can tackle aforementioned issues. The recent technique of genome editing by Clustered Regularly Interspaced Short Palindromic Repeats/CRISPR associated 9 (CRISPR/Cas9) has greatly advanced the breeding for crop improvement due to its simplicity and high efficiency over other nucleases such as Zinc Finger Nucleases and Transcription Activator Like Effector Nucleases. CRISPR/Cas9 tool contains a non-specific Cas9 nuclease and a single guide RNA that directs Cas9 to the specific genomic location creating double-strand breaks and subsequent repair process creates insertion or deletion mutations. This is currently the widely adopted tool for reverse genetics, and crop improvement in large number of agricultural crops. The use of CRISPR/Cas9 in horticultural crops is limited to few crops due to lack of availability of regeneration protocols and sufficient sequence information in many horticultural crops. In this review, the present status of applicability of CRISPR/Cas9 in horticultural crops was discussed along with the challenges and future potential for possible improvement of these crops for their yield, quality, and resistance to biotic and abiotic stress.

Regulation of Isoflavone Biosynthesis by miRNAs in Two Contrasting Soybean Genotypes at Different Seed Developmental Stages.

Owing to the presence of nutritionally important, health-promoting bioactive compounds, especially isoflavones, soybean has acquired the status of a functional food. miRNAs are tiny riboregulator of gene expression by either decreasing and/or increasing the expression of their corresponding target genes. Despite several works on identification and functional characterization of plant miRNAs, the role of miRNAs in the regulation of isoflavones metabolism is still a virgin field. In the present study, we identified a total of 31 new miRNAs along with their 245 putative target genes from soybean seed-specific ESTs using computational approach. The Kyoto Encyclopedia of Genes and Genomes pathway analyses indicated that miRNA putatively regulates metabolism and genetic information processing. Out of that, a total of 5 miRNAs (Gma-miRNA12, Gma-miRNA24, Gma-miRNA26, Gma-miRNA28, and Gma-miRNA29) were predicted and validated for their probable role during isoflavone biosynthesis. We also validated their five target genes using RA-PCR, which is as good as 5'RLM-RACE. Temporal regulation [35 days after flowering, 45, 55, and 65 DAF] of miRNAs and their targets showed differential expression schema. Differential expression of Gma-miR26 and Gma-miRNA28 along with their corresponding target genes (Glyma.10G197900 and Glyma.09G127200) showed a direct relationship with the total isoflavone content. Therefore, understanding the miRNA-based genetic regulation of isoflavone pathway would assist in selection and manipulation to get high-performing soybean genotypes with better isoflavone yield.

RNA Interference: A Novel Source of Resistance to Combat Plant Parasitic Nematodes.

Plant parasitic nematodes cause severe damage and yield loss in major crops all over the world. Available control strategies include use of insecticides/nematicides but these have proved detrimental to the environment, while other strategies like crop rotation and resistant cultivars have serious limitations. This scenario provides an opportunity for the utilization of technological advances like RNA interference (RNAi) to engineer resistance against these devastating parasites. First demonstrated in the model free living nematode, Caenorhabtidis elegans; the phenomenon of RNAi has been successfully used to suppress essential genes of plant parasitic nematodes involved in parasitism, nematode development and mRNA metabolism. Synthetic neurotransmitants mixed with dsRNA solutions are used for in vitro RNAi in plant parasitic nematodes with significant success. However, host delivered in planta RNAi has proved to be a pioneering phenomenon to deliver dsRNAs to feeding nematodes and silence the target genes to achieve resistance. Highly enriched genomic databases are exploited to limit off target effects and ensure sequence specific silencing. Technological advances like gene stacking and use of nematode inducible and tissue specific promoters can further enhance the utility of RNAi based transgenics against plant parasitic nematodes.

Contemporary Understanding of miRNA-Based Regulation of Secondary Metabolites Biosynthesis in Plants.

Plant's secondary metabolites such as flavonoids, terpenoids, and alkaloids etc. are known for their role in the defense against various insects-pests of plants and for medicinal benefits in human. Due to the immense biological importance of these phytochemicals, understanding the regulation of their biosynthetic pathway is crucial. In the recent past, advancement in the molecular technologies has enabled us to better understand the proteins, enzymes, genes, etc. involved in the biosynthetic pathway of the secondary metabolites. miRNAs are magical, tiny, non-coding ribonucleotides that function as critical regulators of gene expression in eukaryotes. Despite the accumulated knowledge of the miRNA-mediated regulation of several processes, the involvement of miRNAs in regulating secondary plant product biosynthesis is still poorly understood. Here, we summarize the recent progress made in the area of identification and characterizations of miRNAs involved in regulating the biosynthesis of secondary metabolites in plants and discuss the future perspectives for designing the viable strategies for their targeted manipulation.

Blue toe syndrome: a rare complication of acute pancreatitis.

CONTEXT: Blue toe syndrome is an unusual complication of acute pancreatitis. It is characterized by tissue ischemia secondary to cholesterol crystal or atherothrombotic embolization leading to the occlusion of small vessels. Clinical presentation can range from a cyanotic toe to a diffuse multiorgan systemic disease that can mimic other systemic illnesses. CASE REPORT: Here we describe a young male who developed this complication after acute alcoholic pancreatitis.

A Comparative Study of the C-Reactive Protein and the ST-Score (ECG) as Prognostic Indicators in Acute Myocardial Infarction in a Rural Resource-Constrained Hospital Setting in Central India: A Cross-Sectional Study.

CONTEXT: The electrocardiogram remains a crucial tool in identification of acute myocardial infarction (AMI). High sensitivity C-reactive protein (hs-CRP) has been found to be strong predictor of coronary artery disease (CAD) and future cardiovascular events. AIMS: The aim of the present study was to compare hs-CRP and ST-Score (STS) as prognostic indicator in acute ST segment elevated myocardial infarction (STEMI) in central rural India. SETTINGS AND DESIGN: Cross sectional study, rural hospital in central India. MATERIAL AND METHODS: In all patients of STEMI, STS, ST index and hs-CRP were measured on admission and serially. The Primary outcome was all cause mortality at 30 days. Secondary outcome were heart failure, life threatening arrhythmia, cardiogenic shock, re-infarction, hospital stay and re-admission. STATISTICAL ANALYSIS USED: We used Student's t test to compare means, Chi-square test to compare proportions and Mann Whitney test to compare medians. P value <0.05 will be considered significant. Crude odds ratios were computed to assess the strength of association between risk factors and independent variable along with 95% confidence intervals. RESULTS: STS was significantly higher in patients with poor outcome, when compared with good outcome (20.27mm vs.12.47mm, P = 0.002). On multivariate regression model STS was significant predictor of composite outcome events (OR = 2.74; 95% [CI], 1.46 to 5.17; P = 0.002). The area under the ROC curve was 0.70, with sensitivity of 73.5%, specificity of 58.7%; PPV of 68.3% and NPV of 64.2%. hs-CRP in patients with poor outcome vs. good outcome (6mg/L vs. 3.74mg/L, P = 0.003) and (P = 0.06, 0.85 and 0.12) respectively. CONCLUSIONS: STS on admission is independent predictor while hs- CRP is not in resource constrained settings.