CYSTM3 negatively regulates salt stress tolerance in Arabidopsis

Plant Molecular Biology - CYSTM3, a small mitochondrial protein, acts as a negative regulator in salt stress response by preventing Na+?efflux and disturbing reactive oxygen species (ROS)...     

Association of the HTR2A gene with alcohol and heroin abuse

Positive genetic associations of rs6313 (102T/C at exon 1) and rs6311 (?1438A/G) on the 5-hydroxytryptamine (serotonin) 2A receptor gene (HTR2A or 5-HT2A) were reported for alcohol and drug abuse; however, other association studies failed to produce consistent results supporting the susceptibility of the two single nucleotide polymorphisms (SNPs). To clarify the associations of the HTR2A gene with substance use disorders, we performed a meta-analysis based on the genotypes from the available candidate gene association studies of the two SNPs with alcohol and drug abuse from multiple populations. Evidence of association was found for HTR2A rs6313 in all the combined studies (e.g., allelic P = 0.0048 and OR 0.86, 95 % CI 0.77–0.95) and also in the combined studies of alcohol dependence (abuse) (e.g., allelic P = 0.0001 and OR 0.71, 95 % CI 0.59–0.85). The same association trend was also observed in the Study of Addiction: Genetics and Environment datasets. The meta-analysis supports a contribution of the HTR2A gene to the susceptibility to substance use disorders, particularly alcohol dependence.     

Landscape of the relationship between type 2 diabetes and coronary heart disease through an integrated gene network analysis

Type 2 diabetes (T2D) and coronary artery disease (CAD) are closely related chronic diseases with high prevalence and morbidity. However, a comprehensive comparison of the two diseases is lacking. Recent genome-wide association studies (GWAS) have identified a handful of single nucleotide polymorphisms (SNPs) that are significantly associated with the risk of T2D and CAD. These most significant findings may help interpret the pathogenesis of T2D and CAD. However, tremendous results from these GWAS are ignored. Here we revisited the raw datasets of these GWAS and performed an integrated gene network analysis to unveil the relationship between T2D and CAD by combining multiple datasets including protein–protein interaction (PPI) database, publication libraries, and pathway datasets. Our results showed that majority of genes were involved in the first module (1122 genes in T2D and 895 in CAD). Four pathways were found to be common in both T2D and CAD, including regulation of actin cytoskeleton, calcium signaling pathway, MAPK signaling pathway and focal adhesion (all P < 0.00001). MAX which was involved in small cell lung cancer pathway was a hub gene unique to T2D (OR = 1.2, P = 0.006) but not in CAD. In contrast, three hub genes including PLEKHG5 (T2D: OR = 1, P = 1; CAD: OR = 1.12, P = 0.006), TIAM1 (T2D: OR = 1, P = 1; CAD: OR = 1.48, P = 0.004) and AKAP13 (T2D: OR = 1, P = 1; CAD: OR = 1.38, P = 0.001) were hub genes unique to CAD. Moreover, for some hub genes (such as SMAD3) that were susceptible to both T2D and CAD, their associated polymorphisms were unique to each of the two diseases. Our findings might provide a landscape of the relationship between T2D and CAD.     

Whole-Genome Quantitative Trait Locus Mapping Reveals Major Role of Epistasis on Yield of Rice

Although rice yield has been doubled in most parts of the world since 1960s, thanks to the advancements in breeding technologies, the biological mechanisms controlling yield are largely unknown. To understand the genetic basis of rice yield, a number of quantitative trait locus (QTL) mapping studies have been carried out, but whole-genome QTL mapping incorporating all interaction effects is still lacking. In this paper, we exploited whole-genome markers of an immortalized F₂ population derived from an elite rice hybrid to perform QTL mapping for rice yield characterized by yield per plant and three yield component traits. Our QTL model includes additive and dominance main effects of 1,619 markers and all pair-wise interactions, with a total of more than 5 million possible effects. The QTL mapping identified 54, 5, 28 and 4 significant effects involving 103, 9, 52 and 7 QTLs for the four traits, namely the number of panicles per plant, the number of grains per panicle, grain weight, and yield per plant. Most identified QTLs are involved in digenic interactions. An extensive literature survey of experimentally characterized genes related to crop yield shows that 19 of 54 effects, 4 of 5 effects, 12 of 28 effects and 2 of 4 effects for the four traits, respectively, involve at least one QTL that locates within 2 cM distance to at least one yield-related gene. This study not only reveals the major role of epistasis influencing rice yield, but also provides a set of candidate genetic loci for further experimental investigation.     

An infinitesimal model for quantitative trait genomic value prediction

We developed a marker based infinitesimal model for quantitative trait analysis. In contrast to the classical infinitesimal model, we now have new information about the segregation of every individual locus of the entire genome. Under this new model, we propose that the genetic effect of an individual locus is a function of the genome location (a continuous quantity). The overall genetic value of an individual is the weighted integral of the genetic effect function along the genome. Numerical integration is performed to find the integral, which requires partitioning the entire genome into a finite number of bins. Each bin may contain many markers. The integral is approximated by the weighted sum of all the bin effects. We now turn the problem of marker analysis into bin analysis so that the model dimension has decreased from a virtual infinity to a finite number of bins. This new approach can efficiently handle virtually unlimited number of markers without marker selection. The marker based infinitesimal model requires high linkage disequilibrium of all markers within a bin. For populations with low or no linkage disequilibrium, we develop an adaptive infinitesimal model. Both the original and the adaptive models are tested using simulated data as well as beef cattle data. The simulated data analysis shows that there is always an optimal number of bins at which the predictability of the bin model is much greater than the original marker analysis. Result of the beef cattle data analysis indicates that the bin model can increase the predictability from 10% (multiple marker analysis) to 33% (multiple bin analysis). The marker based infinitesimal model paves a way towards the solution of genetic mapping and genomic selection using the whole genome sequence data.     

Opposite effects of dihydrosphingosine 1-phosphate and sphingosine 1-phosphate on transforming growth factor-beta/Smad signaling are mediated through the PTEN/PPM1A-dependent pathway

Transforming growth factor-beta (TGF-beta) is an important regulator of physiological connective tissue biosynthesis and plays a central role in pathological tissue fibrosis. Previous studies have established that a biologically active lipid mediator, sphingosine 1-phosphate (S1P), mimics some of the profibrotic functions of TGF-beta through cross-activation of Smad signaling. Here we report that another product of sphingosine kinase, dihydrosphingosine 1-phosphate (dhS1P), has an opposite role in the regulation of TGF-beta signaling. In contrast to S1P, dhS1P inhibits TGF-beta-induced Smad2/3 phosphorylation and up-regulation of collagen synthesis. The effects of dhS1P require a lipid phosphatase, PTEN, a key modulator of cell growth and survival. dhS1P stimulates phosphorylation of the C-terminal domain of PTEN and its subsequent translocation into the nucleus. We demonstrate a novel function of nuclear PTEN as a co-factor of the Smad2/3 phosphatase, PPM1A. Complex formation of PTEN with PPM1A does not require the lipid phosphatase activity but depends on phosphorylation of the serine/threonine residues located in the C-terminal domain of PTEN. Upon complex formation with PTEN, PPM1A is protected from degradation induced by the TGF-beta signaling. Consequently, overexpression of PTEN abrogates TGF-beta-induced Smad2/3 phosphorylation. This study establishes a novel role for nuclear PTEN in the stabilization of PPM1A. PTEN-mediated cross-talk between the sphingolipid and TGF-beta signaling pathways may play an important role in physiological and pathological TGF-beta signaling.     

The Therapeutic Effects of Tyrosine Hydroxylase Gene Transfected Hematopoetic Stem Cells in a Rat Model of Parkinson’s Disease

Aims To investigate the therapeutic effects of tyrosine hydroxylase (TH)-transfected neuronal stem cells derived from bone marrow stem cells (NdSCs-D-BMSCs) on Parkinson’s disease (PD) through different transplantation protocols, including microinjection into the cerebral ventricles (CV) and the striatum (ST). Methods After identification by enzyme digestion, the constructed plasmid pEGFP-C2-TH was transfected into 8-day-cultured NdSCs-D-BMSCs by electroporation resulting in the coexpression of green fluorescent protein (GFP) and TH. The TH-transfected cells were injected into either the right ST or CV of PD rats. The changes in locomotor activity of PD rats and the migration of transplanted cells in cerebral tissue were monitored and cerebral DA levels were assayed by high performance liquid chromatography (HPLC). Results Five days after plasmid pEGFP-C2-TH transfection into NdSCs-D-BMSCs GFP was expressed in 62.1% of the cells and the rate of co-expression with TH was 83.5%. Ten weeks following transplantation, the symptoms of PD rats in both groups were significantly improved and DA levels were restored to 46.6% and 33% of control. The transferred cells showed excellent survival rates in PD rat brains and distant migration was observed. Conclusion Both CV and ST transplantation of TH-transfected NDSCs-D-BMSCs has obvious therapeutic effects on PD rats. This study could provide evidence for future transplantation route selection, possibly leading to stem cell transplantation through lumbar puncture. Grant: National natural science grant (30270491), Outstanding Science-technology program of Guangdong Province (2000)25.     

Surfactin isoforms from Bacillus subtilis HSO121: separation and characterization

Natural surfactin is a mixture of cyclic lipopeptides built from variants of a heptapeptide and a beta-hydroxy fatty acid. A biosurfactant-producing strain, Bacillus subtilis HSO121, was isolated from the production water of an oil field. The strain was able to produce eight surfactin isoforms which have been isolated by acid-precipitation followed by extraction into methanol. A novel procedure for the purification of surfactin was achieved. It consists of a solid-phase extraction on C(18) gel followed by reversed-phase high performance liquid chromatography using Prep. HiQ sil C18W, column. The surfactin isoforms were eluted by linear acetonitrile gradient from 80-100%. The peaks were analyzed by TLC on silica gel, and after acid hydrolysis their amino acid compositions were determined by HPLC analysis. Eight isoforms of surfactin had nearly the same amino acid composition and appeared a single spot in TLC. According to the R(f) values with the amino acid composition, these peaks belong to the surfactin group of lipopeptides. Infrared analysis of the purified samples also revealed a pattern similar to that of surfactin. This is a very effective method for isolating and fractionating lipopeptides, of the same or different nature.