Microbial community and health benefits of Traditional soaked Rice (Panta Bhat) in Bangladesh
Ontology highlight
ABSTRACT: Malnutrition is a major underlying cause of mortality in children and women in low and middle-income countries, like Bangladesh. This is mostly due to the poor dietary diversity and where rice is the main staple food. This preliminary study has explored the potential for increased nutritional and health benefits from soaking rice in the traditional Bangladeshi style of traditional soaked rice Panta Bhat for its nutritional value and microbiome contents for possible nutritional and health benefits.
Project description:Rice milk is a non-diary beverage made primarily from milled rice and water that has an opaque white or beige color and creamy texture resembling that of cow’s milk. Rice milk is generally considered hypoallergic and gluten-free hence, is an excellent choice for people with lactose intolerance and multiple allergies. Besides having anti-inflammatory properties, it is beneficial in lowering cholesterol and hypertenstion and is known to contain a range of bio-active components such as α-tocopherol, c-oryzano, ß-sitosterol, thiamin, niacin and pyridoxine. The consumption of rice milk is increasing worldwide for its nutritional value and health benefits, however, its protein composition after commercialization is not well known. This study compared the protein profile of 9 different commercial rice milks using a label-free quantitative proteomics approach.
Project description:Rice grains are rich in starch but are deficient in proteins containing essential amino acids such as lysine and threonine. Therefore, efforts have been made to improve the nutritional value of rice by overexpressing the genes involved in lysine biosynthesis and/or suppression of lysine catabolism that led to the increased protein content in rice grains. Despite the economic and nutritional benefits rice, the protein accumulation mechanisms are largely elusive. Therefore, to explore the comprehensive proteome profiles, three different parts of rice grains including embryo, endosperm, bran were harvested from weedy rice cultivars (cv. Dharial) and its EMS mutant (DM) having 9.3 and 14.8% of protein content in rice grains, respectively. Here, we utilized a label-free quantitative proteomic analysis and this approach led to the identification of total 5,821 proteins. Of these, 322, 723, and 550 proteins revealed significant differences in their abundance in rice embryo, endosperm, and bran, respectively. Functional classification of identified proteins revealed that enrichment of proteins associated with nitrogen compound biosynthesis and transport, intracellular transport, localization, protein/amino acid synthesis, and photosynthesis, among others were observed in endosperm and bran of high protein mutant rice cultivar. Taken together, the current study uncovers the proteome changes and highlight the various functions of metabolic pathways associated with protein accumulation in rice.
Project description:Information about protein expression in rice grain across both pigmented and non-pigmented rice varieties is still relatively scarce. The data provided here represent proteomic data obtained from selected 6 Malaysian local rice varieties with varying pigmentations (black, red and white). The selected pigmented rice varieties such as black (BALI and Pulut hitam 9) and red rice (MRQ100 and MRM16) have shown high antioxidant activities and non-pigmented rice (MRQ76 and MR297) contain amino acid and micronutrient contents. This project aimed to obtain global protein expression profile as well as differential protein expression between the selected pigmented and non-pigmented rice varieties particularly proteins with their functions responsible for nutritional (i.e. antioxidant, folate and low glycaemic index) and quality (i.e. aromatic) traits. Integration of this proteomics dataset with other available in-house omics data could facilitate the identification of significant functional markers related to nutritional and quality traits. Total proteins were prepared from dehusked matured seeds harvested from three different rice plants of each variety (3 protein samples per variety). The proteins were trypsin digested before subjected to SWATH-MS proteomics analysis. Proteins were identified by matching tandem mass (MS/MS) spectra from both 1D and 2D IDA to Oryza sativa japonica and indica rice databases available at UniProt by using ProteinPilot software (v4.2) (AB Sciex). Quantification of proteins was carried out by determining protein peak areas extracted from SWATH analysis data sets using PeakView (v2.1) (AB Sciex) software. Differentially expressed protein between varieties were identified using T-test analysis with a set threshold for fold change ± 1.5 and p‐value < 0.05.
Project description:KMD is genetically engenered to be highly resistant to lepidopteran pests through expressing a synthetic cry1Ab gene and its parent non-transgenic rice is Xiushui 11 (XS11). Many unintended effects have been discovered in KMD. We used microarrays to study the molecular basis for unintended effects of KMD rice. Samples were collected from both KMD and XS11 for RNA extraction and hybridization on Affymetrix microarrays. We selected differentially expressed genes hoping to clarify the molecular basis for unintended effects in KMD.
Project description:Os02g31890 encodes a dehydration-responsive transcription factor (named ´ARID´) from rice (Oryza sativa, cv. Dongjin). Expression profiling was performed 90 min after the start of dehydration stress in roots of Oryza sativa wild-type plants (cv. Dongjin) and a knock-out (i.e. arid) mutant. Wild-type rice plants and a line carrying a T-DNA insertion in the third exon of the transcription factor gene (arid mutant) were subjected to dehydration stress for 90 min. Well-watered wild-type and T-DNA insertion plants were used as controls. Total RNA was extracted from roots and subjected to expression profiling using rice Affymetrix microarrays.
Project description:DNA microarray analysis has been proved to be an effective method in investigating unintended effects in genetically modified (GM) crops. However, unintended effects of GM plants in leaves through DNA microarray analysis has many researches, but research of unintended effects of GM plants of the underground portion has few. In this study, DNA microarray analysis was used to detect DEG in underground portions between transgenic rice HH1 and its non-transgenic control MH63. We used microarrays to study unintended effects in root of transgenic rice Huahui 1. Samples were collected from root of HH1 and MH63 at 30-day old and were used for RNA extraction and hybridization on Affymetrix microarrays. We selected diferentially expressed genes and common significantly changed pathways hoping to as a clue to investigate unintended effects of HH1 root.
Project description:Transcriptional programs are important for the development of complex eukaryotic organisms. Suites of genes expressed with temporal and spatial controls by regulatory networks in response to environmental cues are the cornerstone for achieving the specification of morphology and physiology of the tissue or organ systems. Thus, an important issue of developmental biology is to define the subsets of expressed genes and their expression patterns that are related to the organ or tissue system. Rice is a model plant for cereal genome research. Although large amounts of data of whole genome expression have been generated in recent years in rice, the majority of the studies were designed to identify differentially expressed genes between controls and treatments with certain experimental conditions such as biotic, abiotic or light, or to investigate the comparative expression patterns between wild type and mutants of certain genes. Only in a few cases were the datasets designed for studying the transcriptomes of a limited number of organs and cell types. Thus, there is still insufficiency in the available datasets that would allow for the establishment of expression patterns for suits of genes during the developmental processes of rice. In this study, we collected 39 tissues/organs covering the life cycle of the rice from two indica varieties Minghui 63 and Zhenshan 97, and the Affymetrix GeneChip Rice Genome Array was used to investigate the transcriptomes of these organs. The objective was to develop a genomic resource of genome-wide dynamic transcriptome of the rice plant, which could be used as the reference gene expression map for rice and other cereals. Also, the dataset is used to identify the candidates of genes with potential functions in regulating the development of rice or breeding practice. Keywords: rice, expression profiling, life cycle, development, inflorescence To dissect the developmental transcriptomes of rice, a total of 39 tissues covering the entire tissue culture process and life cycle were sampled from two indica varieties Minghui 63 and Zhenshan 97. And the Affymetrix Genechip rice Genome Array was used to investigate their dynamic transcriptomes. Two independent biological replicates were sampled from most tissues, except two seedling and three panicle tissues, for which three independent biological replicates each with two technical replicates were sampled, resulting in a dataset of 190 microarrays.
Project description:Drought, salinity and sub-optimal temperatures are stresses that cause adverse effects on the growth of plants and the productivity of crops. In this study, we have analyzed the expression profiles of rice genes under control and abiotic stress conditions using microarray technology to identify the genes differentially expressed during various abiotic stresses. Experiment Overall Design: Seven-day-old light-grown rice seedlings grown under controlled conditions and those subjected to various abiotic stress conditions were used for RNA extraction and hybridization on Affymetrix microarrays. Three biological replicates of each sample were used for microarray analysis. For salt treatment (SS), the rice seedlings were transferred to a beaker containing 200 mM NaCl solution for 3 h. For desiccation (DS), rice seedlings were dried for 3 h between folds of tissue paper at 28±1 degree C, in a culture room. For cold treatment (CS), the seedlings were kept at 4±1 degree C for 3 h. The seedlings kept in water for 3 h, at 28±1 degree C, served as control (Seedling).
Project description:Rice roots grown in hydroponic culture were inoculated with rice blast fungus and gene expression profiles were analyzed by microarray Roots of two isogenic lines of rice cv Nipponbare (blast-resistance gene: Pia or pia) were inoculated with rice blast fungus, P91-15B, carrying avirulence gene, AvrPia. Total RNA was isolated from crown roots, labeled with cy3, and probed with agilent rice oligoarray (4x44).
Project description:The WRKY gene family has a very ancient origin but has faced extensive duplication only in the plant kingdom so much that Arabidopsis (Arabidopsis thaliana) has 74 copies of WRKY genes encoding transcription factors while 109 can be found in Rice (Oryza sativa L.). Several studies in the last decade has pointed their involvement in an heterogeneous number of biological processes, from development to hormone signalling, dormancy and senescence, but a wide number of WRKY genes are transcriptionally regulated during biotic or abiotic stresses. To investigate involvement of WRKY genes upon host and non-host infection (different strain of Magnaporthe grisea) and osmotic stress in Rice, we performed a gene family transcription analysis using custom microarray. Results indicate that a relevant part of WRKY genes are involved during at least one of these stresses, that there is little difference in transcriptional regulation between host and non-host infection or between different tissues upon the same osmotic stress. Moreover, are evident groups of genes that, often with opposite behaviour, are co-regulated in all or most of the studied conditions. We thus formulated the hypothesis that WRKY genes might be part of co-regulatory networks with other WRKY genes. Keywords: stress response We analyzed 40 arrays and tested 6 conditions: BR29 (Non-host Pathogen), BR32 (Non-host Pathogen), FR13 (Host pathogen), Osmotic leaves 5 hours, Osmotic roots 1 hour and Osmotic roots 5 hours. 2 biological replicated were analyzed and between 2 to 4 technical replicates applied for each biological sample.