Quality assessment of nutri-cereal bran rich fraction enriched buns and muffins.

Millet bran, a by-product obtained during millet processing is rich in nutrients, fiber, antioxidants and phyto-nutrients, but remains underutilized. Consumption of bakery products have increased significantly among all age groups. Majority of the bakery products are calorie dense and lack nutrients. There are limited studies on utilization of minor millet brans and bran rich fractions (BRF) in development of bakery products. Thus, present study aimed at formulating designer buns and muffins using foxtail and kodo millet BRF respectively. It was observed that buns prepared with 20% foxtail and muffins prepared with 30% kodo BRF showed better acceptability. The nutritional profile of BRF enriched buns and muffins had significant increase in dietary fibre (2.73% and 2.79%), iron, calcium, zinc, antioxidant capacity and phytonutrient content. A reduction was observed in the available carbohydrates in both buns (51.11-47.85 g/100 g) and muffins (46.76-43.87 g/100 g). Buns and muffin exhibited moderate glycemic index (57.71, 56.42) and glycemic load (19.32, 14.85) respectively. Shelf life of buns and muffins was 3 and 7 days respectively at room temperature. In both the products moisture, water activity and microbial plate count increased during storage whereas sensory acceptability decreased. The study indicates that addition of minor millet BRF in baked products enhanced nutritional content and reduced glycemic index thereby exhibiting its potential as a functional ingredient in food processing.

RNA-Seq based global transcriptome analysis of rice unravels the key players associated with brown planthopper resistance.

Rice production is adversely affected by biotic and abiotic stresses. Among the biotic stresses, brown planthopper (BPH) majorly affects the rice yield. Comprehending the genome and candidate players is essential for the resistance to BPH. This holistic study aimed to dissect the complex BPH resistance mechanism of the host against pathogen. Transcriptome analysis of six samples comprising of two-resistant (PTB33, BM71) and one-sensitive (TN1) genotypes under control and stress conditions was carried-out. A total of 148 million filtered reads were generated after quality check. Among these, 127 million filtered reads were aligned to the rice genome. These aligned reads were taken for further analysis. A total of 14,358 DEGs across the genotypes under stress were identified. Of which, 4820 DEGs were functionally annotated from 9266 uniquely mapped DEGs. Fifty-five potential BPH stress players were selected from the in-silico analysis of DEGs. qRT-PCR results revealed key players were differentially regulated in both resistant and sensitive genotypes. Spatio-temporal and hormone level expression signature of 55 BPH associated players were analyzed and noted their differential expression in tissues and hormones, respectively. This study inferred the significant differences in gene expression signatures may contribute to the process of BPH resistance mechanism in rice.

Multiple Genome Wide Association Mapping Models Identify Quantitative Trait Nucleotides for Brown Planthopper (Nilaparvata lugens) Resistance in MAGIC Indica Population of Rice.

Brown planthopper (BPH), one of the most important pests of the rice (Oryza sativa) crop, becomes catastrophic under severe infestations and causes up to 60% yield loss. The highly disastrous BPH biotype in the Indian sub-continent is Biotype 4, which also known as the South Asian Biotype. Though many resistance genes were mapped until now, the utility of the resistance genes in the breeding programs is limited due to the breakdown of resistance and emergence of new biotypes. Hence, to identify the resistance genes for this economically important pest, we have used a multi-parent advanced generation intercross (MAGIC) panel consisting of 391 lines developed from eight indica founder parents. The panel was phenotyped at the controlled conditions for two consecutive years. A set of 27,041 cured polymorphic single nucleotide polymorphism (SNPs) and across-year phenotypic data were used for the identification of marker-trait associations. Genome-wide association analysis was performed to find out consistent associations by employing four single and two multi-locus models. Sixty-one SNPs were consistently detected by all six models. A set of 190 significant marker-associations identified by fixed and random model circulating probability unification (FarmCPU) were considered for searching resistance candidate genes. The highest number of annotated genes were found in chromosome 6 followed by 5 and 1. Ninety-two annotated genes identified across chromosomes of which 13 genes are associated BPH resistance including NB-ARC (nucleotide binding in APAF-1, R gene products, and CED-4) domain-containing protein, NHL repeat-containing protein, LRR containing protein, and WRKY70. The significant SNPs and resistant lines identified from our study could be used for an accelerated breeding program to develop new BPH resistant cultivars.