Project description:Samples of oil and production water were collected from five wells of the Qinghai Oilfield, China, and subjected to GeoChip hybridization experiments for microbial functional diversity profiling. Unexpectedly, a remarkable microbial diversity in oil samples, which was higher than that in the corresponding water samples, was observed, thus challenging previously believed assumptions about the microbial diversity in this ecosystem. Hierarchical clustering separated oil and water samples, thereby indicating distinct functional structures in the samples. Genes involved in the degradation of hydrocarbons, organic remediation, stress response, and carbon cycling were significantly abundant in crude oil, which is consistent with their important roles in residing in oil. Association analysis with environmental variables suggested that oil components comprising aromatic hydrocarbons, aliphatic hydrocarbons, and a polar fraction with nitrogen-, sulfur-, and oxygen-containing compounds were mainly influential on the structure of the microbial community. Furthermore, a comparison of microbial communities in oil samples indicated that the structures were depth/temperature-dependent. To our knowledge, this is the first thorough study to profile microbial functional diversity in crude oil samples.
Project description:Samples of oil and production water were collected from five wells of the Qinghai Oilfield, China, and subjected to GeoChip hybridization experiments for microbial functional diversity profiling. Unexpectedly, a remarkable microbial diversity in oil samples, which was higher than that in the corresponding water samples, was observed, thus challenging previously believed assumptions about the microbial diversity in this ecosystem. Hierarchical clustering separated oil and water samples, thereby indicating distinct functional structures in the samples. Genes involved in the degradation of hydrocarbons, organic remediation, stress response, and carbon cycling were significantly abundant in crude oil, which is consistent with their important roles in residing in oil. Association analysis with environmental variables suggested that oil components comprising aromatic hydrocarbons, aliphatic hydrocarbons, and a polar fraction with nitrogen-, sulfur-, and oxygen-containing compounds were mainly influential on the structure of the microbial community. Furthermore, a comparison of microbial communities in oil samples indicated that the structures were depth/temperature-dependent. To our knowledge, this is the first thorough study to profile microbial functional diversity in crude oil samples. From the Qinghai Oilfield located in the Tibetan Plateau, northwest China, oil production mixtures were taken from four oil production wells (No. 813, 516, 48 and 27) and one injection well (No. 517) in the Yue-II block. The floating oil and water phases of the production mixtures were separated overnight by gravitational separation. Subsequently, the microbial community and the characteristics of the water solution (W813, W516, W48, and W27) and floating crude oil (O813, O516, O48, and O27) samples were analyzed. A similar analysis was performed with the injection water solution (W517).
Project description:Oil palm (Elaeis guineensis Jacq.) is one of the most important oil-producing crops in the world. However, the demand for oil from this crop will increase in the future. A comparative gene expression profile of the oil palm leaves was needed in order to understand the key factors that influence the oil production. Here, we reported an RNA-seq dataset from three different oil yields and three different genetic populations of oil palm. All raw sequencing reads were obtained from an Illumina NextSeq 500 platform. We also provide a list of the genes and their expression levels resulting from the RNA-sequencing. This transcriptomic dataset will provide a valuable resource for increasing oil yield.
Project description:To investigate the role of lncRNAs on lipid metabolism, we did RNAseq to find the difference among large yellow croaker fed with fish oil (FO), soybean oil (SO), olive oil (OO), and palm oil (PO) diets
Project description:The purpose of this study was to compare the rumen bacterial composition in high and low yielding dairy cows within and between two dairy herds. Eighty five Holstein dairy cows in mid-lactation (79-179 days in milk) were selected from two farms: Farm 12 (M305?=?12,300 kg; n?=?47; 24 primiparous cows, 23 multiparous cows) and Farm 9 (M305?=?9700 kg; n?=?38; 19 primiparous cows, 19 multiparous cows). Each study cow was sampled once using the stomach tube method and processed for 16S rRNA gene amplicon sequencing using the Ion Torrent (PGM) platform.Differences in bacterial communities between farms were greater (Adonis: R2?=?0.16; p?<?0.001) than within farm. Five bacterial lineages, namely Prevotella (48-52%), unclassified Bacteroidales (10-12%), unclassified bacteria (5-8%), unclassified Succinivibrionaceae (1-7%) and unclassified Prevotellaceae (4-5%) were observed to differentiate the community clustering patterns among the two farms. A notable finding is the greater (p?<?0.05) contribution of Succinivibrionaceae lineages in Farm 12 compared to Farm 9. Furthermore, in Farm 12, Succinivibrionaceae lineages were higher (p?<?0.05) in the high yielding cows compared to the low yielding cows in both primiparous and multiparous groups. Prevotella, S24-7 and Succinivibrionaceae lineages were found in greater abundance on Farm 12 and were positively correlated with milk yield.Differences in rumen bacterial populations observed between the two farms can be attributed to dietary composition, particularly differences in forage type and proportion in the diets. A combination of corn silage and alfalfa silage may have contributed to the increased proportion of Proteobacteria in Farm 12. It was concluded that Farm 12 had a greater proportion of specialist bacteria that have the potential to enhance rumen fermentative digestion of feedstuffs to support higher milk yields.
Project description:To perform mRNA expression analysis through deep sequencing, RNA was isolated from prostate mice treated with normolipidic diets based on linseed oil, soybean oil or lard (varying saturated and unsaturated FA contents and ω-3/ω-6 ratios (ω ratio) for 12 or 32 weeks after weaning
Project description:Soybean and fish contains various active components that were reported to prevent cardiovasucular diseases. Epidemiological studies indicated that Asian eating patterns, consisting of daily seafood and/or soy consumption, confer protection against cardiovascular diseases. In this context, we expected that simultaneous intake of soybean and fish may be greatly beneficial in a manner different from the ingestion of the individual food. To understand the detailed mechanism for modulating the lipid metabolism by co-ingestion of a soy food (tofu) and fish oil, we investigated the global changes in hepatic mRNA expression in rats by using a microarray analysis. Generally, ingestion of tofu contributed to prevent the mRNA expressions involved in hepatic lipogenesis, whereas fish oil facilitated the mRNA expressions related to the degradation of hepatic fatty acids. In terms of mRNA expression, the interaction of two dietary factors was limited. The expression data was normalized and summarized by using SuperNORM data service (Skylight Biotech Inc.). Significance of expressional change among groups was tested by 2-way ANOVA on the normalized CEL data, which was deposited in a tab-separated ASCII text format. Principal components were identified on the summarized gene data. Rats were divided into four groups each with similar average body weights and assigned experimental diets for 21 days as follows: casein and soybean oil diet (CS); casein and fish oil diet (CF); tofu and soybean oil diet (TS); tofu and fish oil diet (TF). Total protein and fat content of each diet was 200 and 150 g/kg, respectively. Soybean oil diets (CS and TS) contain 150 g/kg diet of soybean-derived fat (i.e. soybean oil and freeze-dried tofu), and 50 g/kg of fish oil was replaced with the same amount of soybean-derived fat for fish oil diets (CF and TF). Animals were allowed free access to food and water.
Project description:A significant part of the heavier petroleum fraction resulting from offshore oil-spills sinks to the deep-sea. Its fate and biodegradation by microbial communities is unclear. In particular, the physiological and metabolic features of hydrostatic pressure (HP) adapted oil-degraders have been neglected. In this study, hydrocarbon-free sediment from 1km below surface water (bsl) was incubated at 0.1, 10 and 20MPa (equivalent to surface waters, 1 and 2km bsl) using triacontane (C30) as sole carbon source for a 3-month enrichment period. HP strongly impacted biodegration, as it selected for microbial communities with small cells, high O2 respiration and nutrients requirements, but low biomass and C30-degradation yields. The alkane-degrading metaproteome linked to β-oxidation was detected but its expression was reduced under HP contrary to several housekeeping genes. This was reflected in the enriched communities, as atmospheric pressure was dominated by hydrocarbonoclastic bacteria while non-specialized or previously unrecognized oil-degrading genera were enriched under HP.