Photochemistry and radiation chemistry of interstellar ices lead to the synthesis of prebiotic molecules which may be delivered to planets by meteorites and/or comets.

BackgroundOil in the form of triacylglycerols (TAGs) is quantitatively the most important storage form of energy for eukaryotic cells. Diacylglycerol acyltransferase (DGAT) is considered the rate-limiting enzyme for TAG accumulation. Chlorella, a unicellular eukaryotic green alga, has attracted much attention as a potential feedstock for renewable energy production. However, the function of DGAT1 in Chlorella has not been reported.ResultsA full-length cDNA encoding a putative diacylglycerol acyltransferase 1 (DGAT1, EC 2.3.1.20) was obtained from Chlorella ellipsoidea. The 2,142 bp open reading frame of this cDNA, designated CeDGAT1, encodes a protein of 713 amino acids showing no more than 40% identity with DGAT1s of higher plants. Transcript analysis showed that the expression level of CeDGAT1 markedly increased under nitrogen starvation, which led to significant triacylglycerol (TAG) accumulation. CeDGAT1 activity was confirmed in the yeast quadruple mutant strain H1246 by restoring its ability to produce TAG. Upon expression of CeDGAT1, the total fatty acid content in wild-type yeast (INVSc1) increased by 142%, significantly higher than that transformed with DGAT1s from higher plants, including even the oil crop soybean. The over-expression of CeDGAT1 under the NOS promoter in wild-type Arabidopsis thaliana and Brassica napus var. Westar significantly increased the oil content by 8–37% and 12–18% and the average 1,000-seed weight by 9–15% and 6–29%, respectively, but did not alter the fatty acid composition of the seed oil. The net increase in the 1,000-seed total lipid content was up to 25–50% in both transgenic Arabidopsis and B. napus.ConclusionsWe identified a gene encoding DGAT1 in C. ellipsoidea and confirmed that it plays an important role in TAG accumulation. This is the first functional analysis of DGAT1 in Chlorella. This information is important for understanding lipid synthesis and accumulation in Chlorella and for genetic engineering to enhance oil production in microalgae and oil plants.Electronic supplementary materialThe online version of this article (doi:10.1186/s12870-017-0995-5) contains supplementary material, which is available to authorized users.

Background: Emerging evidence has suggested that dysbiosis of the lung microbiota may be associated with the development of lung diseases. However, the interplay between the lung microbiome and lung cancer remains unclear. The aim of the present study was to evaluate and compare differences in taxonomic and derived functional profiles in the lung microbiota between lung cancer and benign pulmonary diseases.Methods: Bronchoalveolar lavage fluid (BALF) samples were collected from 32 patients with lung cancer and 22 patients with benign pulmonary diseases, and further analyzed by 16S rRNA amplicon sequencing.The obtained sequence data were deeply analyzed by bioinformatics methods.Results: A significant differentiation trend was observed between the lung cancer and control groups based on principal coordinate analysis (PCoA), while richness and evenness in the lung microbiome of lung cancer patients generally resembled those of patients with benign pulmonary diseases. Phylum TM7 and six genera (c:TM7-3, Capnocytophaga, Sediminibacterium, Gemmiger, Blautia and Oscillospira) were enriched in the lung cancer group compared with the control group (adjust P<0.05). The area under the curve (AUC) combining the microbiome with clinical tumor markers to predict lung cancer was 84.52% (95% CI: 74.06-94.97%).In addition, predicted KEGG pathways showed that the functional differences in metabolic pathways of microbiome varied with groups. Conclusions:The results indicated that differences existed in the lung microbiome of patients with lung cancer and those with benign pulmonary diseases, and some certain bacteria may have potential to predict lung cancer, though future larger-sample studies are required to validate this supposition.

Background and AimsThe failure of therapeutic response to clopidogrel in platelet inhibition, which is called clopidogrel resistance (CR), is more likely to cause cardiovascular events. We aimed to study the contribution of promoter DNA methylation of paraoxonase 1 (PON1) to the risk of clopidogrel poor response.MethodsThrough VerifyNow P2Y12 assay, patient’ platelet functions were measured. Among 57 non‐CR and 49 CR patients, the levels of DNA methylation in four CpG dinucleotides on the PON1 promoter were tested using bisulfite pyrosequencing technology. Besides, the relative expression of PON1 mRNA was analyzed by quantitative real‐time PCR. Logistic regression was applied to investigate the interaction of PON1 methylation and clinical factors in CR.ResultsIn the subgroup with dyslipidemia, we discovered that higher CpG4 levels of the PON1 promoter indicated a poorer clopidogrel response (cases versus controls (%): 51.500 ± 14.742 vs 43.308 ± 10.891, P = 0.036), and the PON1 mRNA expression was reduced in CR patients. Additionally, the logistic regression indicated that higher level of albumin and the index of ALT were related to a lower risk of CR, and the index of AST as well as the quantity of stent may be positively associated with CR.ConclusionsThe DNA methylation of CpG4 in the PON1 promoter would lead to a low expression of PON1 mRNA, which might induce clopidogrel resistance in the patients with dyslipidemia, and the number of stents might be a risk for CR.

microRNAs (miRNAs) can be used as biomarkers for acute myocardial infarction (AMI). However, few reports have focused on the value of exosomal miRNAs in the mechanism of the pathophysiological process from stable coronary artery disease (SCAD) to AMI. Exosomes were isolated via ultracentrifugation after serum samples were collected. The exosomes were then identified by transmission electron microscopy, western blotting, and nanoparticle tracking analysis. The differential expression of miRNAs in exosomes from six AMI and six matching SCAD patients was screened using the Agilent Human miRNA Microarray Kit. Target genes of the candidate miRNAs were predicted via an online miRNA database, Gene Ontology, and Kyoto Encyclopedia of Genes and Genomes analyses. Further validation was conducted through quantitative real‐time polymerase chain reaction with 60 exosome samples. The expression of 13 miRNAs was significantly downregulated in the AMI samples compared with the SCAD samples. In addition, we identified various target genes that are mainly involved in the pathways of cardiac rehabilitation and remodelling. Validation of the expression of candidate miRNAs indicated that exosomal miR‐1915‐3p, miR‐4,507, and miR‐3,656 were significantly less expressed in AMI samples than in SCAD samples, and area under the receiver‐operating‐characteristic curve (AUC) analysis showed that the expression of these miRNAs resulted in good predictive accuracy [miR‐1915‐3p (AUC: 0.772); miR‐4,507 (AUC: 0.684); and miR‐3,656 (AUC: 0.771)], suggesting that these serum exosomal miRNAs might be predictive for AMI at an early stage. Hence, exosomal miRNAs might play an important role in the pathophysiology of AMI and could serve as diagnostic biomarkers.