Embryonic stem cells are unique among cultured cells in their ability to self-renew and differentiate into a wide diversity of cell types, suggesting that a specific molecular control network underlies these features. Human embryonic stem cells (hESCs) are known to have distinct mRNA expression, global DNA methylation, and chromatin profiles, but the involvement of high-level regulators, such as microRNAs (miRNA), in the hESC-specific molecular network is poorly understood. We report that global miRNA expression profiling of hESCs and a variety of stem cell and differentiated cell types using a novel microarray platform revealed a unique set of miRNAs differentially regulated in hESCs, including numerous miRNAs not previously linked to hESCs. These hESC-associated miRNAs were more likely to be located in large genomic clusters, and less likely to be located in introns of coding genes. hESCs had higher expression of oncogenic miRNAs and lower expression of tumor suppressor miRNAs than the other cell types. Many miRNAs upregulated in hESCs share a common consensus seed sequence, suggesting that there is cooperative regulation of a critical set of target miRNAs. We propose that miRNAs are coordinately controlled in hESCs, and are key regulators of pluripotence and differentiation. STEM CELLS
While the yield potential of rice has increased but little is known about the impact of breeding on grain quality, especially under different levels of N availability. In order to investigate the integrated effects of breeding and N levels on rice quality 12 japonica rice cultivars bred in the past 60 years in the Yangtze River Basin were used with three levels of N: 0 kg N ha −1 , 240 kg N ha −1 , and 360 kg N ha −1 . During the period, milling quality (brown rice percentage, milled rice percentage, and head rice percentage), appearance quality (chalky kernels percentage, chalky size, and chalkiness), and eating and cooking quality (amylose content, gel consistency, peak viscosity, breakdown, and setback) were significantly improved, but the nutritive value of the grain has declined due to a reduction in protein content. Micronutrients, such as Cu, Mg, and S contents, were decreased, and Fe, Mn, Zn, Na, Ca, K, P, B contents were increased. These changes in grain quality imply that simultaneous improvements in grain yield and grain quality are possible through selection. Overall, application of N fertilizer decreased grain quality, especially in terms of eating and cooking quality. Under higher N levels, higher protein content was the main reason for deterioration of grain quality, although lower amylose content might contribute to improving starch pasting properties. These results suggest that further improvement in grain quality will depend on both breeding and cultivation practices, especially in regard to nitrogen and water management.
The human gut microbiota varies considerably among world populations due to a variety of factors including genetic background, diet, cultural habits and socioeconomic status. Here we characterized 110 healthy Mongolian adults gut microbiota by shotgun metagenomic sequencing and compared the intestinal microbiome among Mongolians, the Hans and European cohorts. The results showed that the taxonomic profile of intestinal microbiome among cohorts revealed the Actinobaceria and Bifidobacterium were the key microbes contributing to the differences among Mongolians, the Hans and Europeans at the phylum level and genus level, respectively. Metagenomic species analysis indicated that Faecalibacterium prausnitzii and Coprococcus comeswere enrich in Mongolian people which might contribute to gut health through anti-inflammatory properties and butyrate production, respectively. On the other hand, the enriched genus Collinsella, biomarker in symptomatic atherosclerosis patients, might be associated with the high morbidity of cardiovascular and cerebrovascular diseases in Mongolian adults. At the functional level, a unique microbial metabolic pathway profile was present in Mongolian's gut which mainly distributed in amino acid metabolism, carbohydrate metabolism, energy metabolism, lipid metabolism, glycan biosynthesis and metabolism. We can attribute the specific signatures of Mongolian gut microbiome to their unique genotype, dietary habits and living environment.The gut microbiota (GM) is recognized as a human co-evolutionary partner that facilitates nutritional acquisition and immune modulation, and helps maintain host homeostasis in response to profound lifestyle changes 1-3 . Researchers have delineated the structural and functional configurations of gut metagenomes in different world populations by next generation sequencing [4][5][6][7] . The functional GM layout may represent host genotypic characteristics and reflect an adaptive ecosystem response to the host diet and cultural habits.The microbiota of the Mongolian population is of particular interest to researchers, because Mongolia encompasses a uniquely wide range of environmental conditions and ethnogeographical cohorts. Moreover, the Mongol Empire was the world's largest contiguous empire, exerted a major influence that greatly enhanced the cultural exchange between Mongolia and Europe that took place during the Middle Ages, when Mongolians intermingled with various populations in the Eurasian continent. Importantly, it has been reported that genetically, more than 20% people in the world are related to Mongolians 8 . Mongolians living in pastureland, such as Khentii Province, maintains a traditional nomadic lifestyle (Fig. 1A), whereas those in urban areas, such as Ulan Bator (the capital of Mongolia) and TUW Province (the suburbs of the capital), have adopted an urban lifestyle due to rapid modernization and economic development. Chinese Mongolians living in Hohhot and Xilingol have inter-married with ethic Han Chinese, which may generate some differences fr...
Chinese Rice Wine (CRW) is a common alcoholic beverage in China. To investigate the influence of microbial composition on the quality of CRW, high throughput sequencing was performed for 110 wine samples on bacterial 16S rRNA gene and fungal Internal Transcribed Spacer II (ITS2). Bioinformatic analyses demonstrated that the quality of yeast starter and final wine correlated with microbial taxonomic composition, which was exemplified by our finding that wine spoilage resulted from a high proportion of genus Lactobacillus. Subsequently, based on Lactobacillus abundance of an early stage, a model was constructed to predict final wine quality. In addition, three batches of 20 representative wine samples selected from a pool of 110 samples were further analyzed in metagenomics. The results revealed that wine spoilage was due to rapid growth of Lactobacillus brevis at the early stage of fermentation. Gene functional analysis indicated the importance of some pathways such as synthesis of biotin, malolactic fermentation and production of short-chain fatty acid. These results led to a conclusion that metabolisms of microbes influence the wine quality. Thus, nurturing of beneficial microbes and inhibition of undesired ones are both important for the mechanized brewery.
Previous studies have revealed significant differences in microbiome compositions between infants delivered via cesarean section (C-section) and natural vaginal birth. However, the importance of the delivery mode in the first days of life remains unclear. Importantly, this stage is minimally affected by infant feeding. Here, we used a metagenomic sequencing technique to characterize the meconium microbiome from the feces of a Chinese cohort of vaginally and C-section-delivered infants, including in vitro fertilization (IVF) newborns, during the first 24 h after birth. Meconium microbiome diversity was higher in vaginally delivered infants than that in C-section-delivered infants. Propionibacterium species were most abundant in the vaginally delivered infants, whereas the C-section group had high levels of Bacillus licheniformis. The two IVF newborns delivered by C-section harbored microbial communities similar to the vaginal microbiome in terms of taxonomic composition. Metabolic functions of the C-section group suffered more from the influence of the dominant group (B. licheniformis), whereas the vaginal group was more homogeneous, with a metabolism dominated by multi-microbes. Moreover, different modes of delivery affected the antibiotic resistance gene (ARG) prevalence. These findings provide novel information for the development of strategies to guide a healthy mode of delivery and promote the formation of healthy microbiota.
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