High-dimensional multi-omics measured in controlled conditions are useful for maize platform and field trait predictions.

KEY MESSAGE: Transcriptomics and proteomics information collected on a platform can predict additive and non-additive effects for platform traits and additive effects for field traits. The effects of climate change in the form of drought, heat stress, and irregular seasonal changes threaten global crop production. The ability of multi-omics data, such as transcripts and proteins, to reflect a plant's response to such climatic factors can be capitalized in prediction models to maximize crop improvement. Implementing multi-omics characterization in field evaluations is challenging due to high costs. It is, however, possible to do it on reference genotypes in controlled conditions. Using omics measured on a platform, we tested different multi-omics-based prediction approaches, using a high dimensional linear mixed model (MegaLMM) to predict genotypes for platform traits and agronomic field traits in a panel of 244 maize hybrids. We considered two prediction scenarios: in the first one, new hybrids are predicted (CV-NH), and in the second one, partially observed hybrids are predicted (CV-POH). For both scenarios, all hybrids were characterized for omics on the platform. We observed that omics can predict both additive and non-additive genetic effects for the platform traits, resulting in much higher predictive abilities than GBLUP. It highlights their efficiency in capturing regulatory processes in relation to growth conditions. For the field traits, we observed that the additive components of omics only slightly improved predictive abilities for predicting new hybrids (CV-NH, model MegaGAO) and for predicting partially observed hybrids (CV-POH, model GAOxW-BLUP) in comparison to GBLUP. We conclude that measuring the omics in the fields would be of considerable interest in predicting productivity if the costs of omics drop significantly.

Genetic and epigenetic variation in 5S ribosomal RNA genes reveals genome dynamics in Arabidopsis thaliana.

Organized in tandem repeat arrays in most eukaryotes and transcribed by RNA polymerase III, expression of 5S rRNA genes is under epigenetic control. To unveil mechanisms of transcriptional regulation, we obtained here in depth sequence information on 5S rRNA genes from the Arabidopsis thaliana genome and identified differential enrichment in epigenetic marks between the three 5S rDNA loci situated on chromosomes 3, 4 and 5. We reveal the chromosome 5 locus as the major source of an atypical, long 5S rRNA transcript characteristic of an open chromatin structure. 5S rRNA genes from this locus translocated in the Landsberg erecta ecotype as shown by linkage mapping and chromosome-specific FISH analysis. These variations in 5S rDNA locus organization cause changes in the spatial arrangement of chromosomes in the nucleus. Furthermore, 5S rRNA gene arrangements are highly dynamic with alterations in chromosomal positions through translocations in certain mutants of the RNA-directed DNA methylation pathway and important copy number variations among ecotypes. Finally, variations in 5S rRNA gene sequence, chromatin organization and transcripts indicate differential usage of 5S rDNA loci in distinct ecotypes. We suggest that both the usage of existing and new 5S rDNA loci resulting from translocations may impact neighboring chromatin organization.

Ultradeep pyrosequencing of NS3 to predict response to triple therapy with protease inhibitors in previously treated chronic hepatitis C patients.

Despite the gain in sustained virological responses (SVR) provided by protease inhibitors (PIs), failures still occur. The aim of this study was to determine if a baseline analysis of the NS3 region using ultradeep pyrosequencing (UDPS) can help to predict an SVR. Serum samples from 40 patients with previously nonresponding genotype 1 chronic hepatitis C who were retreated with triple therapy, including a PI, were analyzed. Baseline UDPS of the NS3 gene was performed on plasma and peripheral blood mononuclear cells (PBMC). Mutations conferring resistance to PIs were sought. The overall diversity of the quasispecies was evaluated by calculating the Shannon entropy (SE). Resistance mutations were found in plasma and PBMC but were not discriminating enough to predict an SVR. NS3 quasispecies heterogeneity was significantly lower at baseline in patients achieving an SVR than in those not achieving an SVR (SE of 26.98 ± 16.64 × 10(-3) versus 44.93 ± 19.58 × 10(-3), P = 0.0047). With multivariate analysis, the independent predictors of an SVR were fibrosis of stage F ≤2 (odds ratio [OR], 13.3; 95% confidence interval [CI], 1.25 to 141.096; P < 0.03) and SE below the median (OR, 5.4; 95% CI, 1.22 to 23.87; P < 0.03). More than the presence of minor mutations at the baseline in plasma or in PBMC, the NS3 viral heterogeneity determined by UDPS is an independent factor for an SVR in previously treated patients receiving triple therapy that includes a PI.

Quantitative Single-letter Sequencing: a method for simultaneously monitoring numerous known allelic variants in single DNA samples.

BACKGROUND: Pathogens such as fungi, bacteria and especially viruses, are highly variable even within an individual host, intensifying the difficulty of distinguishing and accurately quantifying numerous allelic variants co-existing in a single nucleic acid sample. The majority of currently available techniques are based on real-time PCR or primer extension and often require multiplexing adjustments that impose a practical limitation of the number of alleles that can be monitored simultaneously at a single locus. RESULTS: Here, we describe a novel method that allows the simultaneous quantification of numerous allelic variants in a single reaction tube and without multiplexing. Quantitative Single-letter Sequencing (QSS) begins with a single PCR amplification step using a pair of primers flanking the polymorphic region of interest. Next, PCR products are submitted to single-letter sequencing with a fluorescently-labelled primer located upstream of the polymorphic region. The resulting monochromatic electropherogram shows numerous specific diagnostic peaks, attributable to specific variants, signifying their presence/absence in the DNA sample. Moreover, peak fluorescence can be quantified and used to estimate the frequency of the corresponding variant in the DNA population. Using engineered allelic markers in the genome of Cauliflower mosaic virus, we reliably monitored six different viral genotypes in DNA extracted from infected plants. Evaluation of the intrinsic variance of this method, as applied to both artificial plasmid DNA mixes and viral genome populations, demonstrates that QSS is a robust and reliable method of detection and quantification for variants with a relative frequency of between 0.05 and 1. CONCLUSION: This simple method is easily transferable to many other biological systems and questions, including those involving high throughput analysis, and can be performed in any laboratory since it does not require specialized equipment.

Quantification of mitochondrial DNA deletion, depletion, and overreplication: application to diagnosis.

BACKGROUND: Many mitochondrial pathologies are quantitative disorders related to tissue-specific deletion, depletion, or overreplication of mitochondrial DNA (mtDNA). We developed an assay for the determination of mtDNA copy number by real-time quantitative PCR for the molecular diagnosis of such alterations. METHODS: To determine altered mtDNA copy number in muscle from nine patients with single or multiple mtDNA deletions, we generated calibration curves from serial dilutions of cloned mtDNA probes specific to four different mitochondrial genes encoding either ribosomal (16S) or messenger (ND2, ND5, and ATPase6) RNAs, localized in different regions of the mtDNA sequence. This method was compared with quantification of radioactive signals from Southern-blot analysis. We also determined the mitochondrial-to-nuclear DNA ratio in muscle, liver, and cultured fibroblasts from a patient with mtDNA depletion and in liver from two patients with mtDNA overreplication. RESULTS: Both methods quantified 5-76% of deleted mtDNA in muscle, 59-97% of mtDNA depletion in the tissues, and 1.7- to 4.1-fold mtDNA overreplication in liver. The data obtained were concordant, with a linear correlation coefficient (r(2)) between the two methods of 0.94, and indicated that quantitative PCR has a higher sensitivity than Southern-blot analysis. CONCLUSIONS: Real-time quantitative PCR can determine the copy number of either deleted or full-length mtDNA in patients with mitochondrial diseases and has advantages over classic Southern-blot analysis.

Pyruvate reverses metabolic effects produced by hypoxia in glioma and hepatoma cell cultures.

The intervention of pyruvate in glucose metabolism was investigated during hypoxic stress in tumour cell cultures having respiratory capacities under normoxic conditions. Results obtained with nuclear magnetic resonance (NMR) spectroscopy showed that, under normoxic conditions, rat glioma C6 and human hepatoma Hep G2 cell cultures metabolised [(13)C(1)]glucose into lactate, alanine, glutamate and other less abundant metabolites, as already known from the literature. In the absence of pyruvate, during hypoxia or cyanide poisoning, both cell types dramatically decreased the label into glutamate and accumulated [(13)C(3)]glycerol-3-phosphate. The compound was further identified by 31P NMR spectroscopy. The accumulation of the label in glycerol-3-phosphate, however, did not occur when the cells were incubated in the presence of pyruvate. The fate of the latter, followed under normoxic conditions by incubating cells with [(13)C(3)]pyruvate and natural glucose, showed that the label was mainly found in alanine, lactate and glutamate. Anoxic conditions increased the label in lactate and reduced that of glutamate. The data show a metabolic effect of pyruvate during mitochondrial blockade due to severe lack of oxygen in tumour cell lines.

Large functional range of steady-state levels of nuclear and mitochondrial transcripts coding for the subunits of the human mitochondrial OXPHOS system.

We have measured, by reverse transcription and real-time quantitative PCR, the steady-state levels of the mitochondrial and nuclear transcripts encoding several subunits of the human oxidative phosphorylation (OXPHOS) system, in different normal tissues (muscle, liver, trachea, and kidney) and in cultured cells (normal fibroblasts, 143B osteosarcoma cells, 143B206 rho(0) cells). Five mitochondrial transcripts and nine nuclear transcripts were assessed. The measured amounts of these OXPHOS transcripts in muscle samples corroborated data obtained by others using the serial analysis of gene expression (SAGE) method to appraise gene expression in the same type of tissue. Steady-state levels for all the transcripts were found to range over more than two orders of magnitude. Most of the time, the mitochondrial H-strand transcripts were present at higher levels than the nuclear transcripts. The mitochondrial L-strand transcript ND6 was usually present at a low level. Cultured 143B cells contained significantly reduced amounts of mitochondrial transcripts in comparison with the tissue samples. In 143B206 rho(0) cells, fully depleted of mitochondrial DNA, the levels of nuclear OXPHOS transcripts were not modified in comparison with the parental cells. This observation indicated that nuclear transcription is not coordinated with mitochondrial transcription. We also observed that in the different tissues and cells, there is a transcriptional coregulation of all the investigated nuclear genes. Nuclear OXPHOS gene expression seems to be finely regulated.

Progressive reversion of clinical and molecular phenotype in a child with liver mitochondrial DNA depletion.

Mitochondrial DNA depletion is a well established cause of severe liver failure in infancy. The autosomal inheritance of this quantitative mitochondrial DNA defect supports the involvement of a nuclear gene in the control of mitochondrial DNA level. We previously described a case of a 28-month-old child presenting with a progressive liver fibrosis due to a mitochondrial DNA depletion (85% at 12 months of age). As this syndrome was clinically liver-restricted, a liver transplant was initially discussed. We report the clinical, biochemical and molecular follow-up of this child, now 6 years old. The patient displayed a spontaneous gradual improvement of his liver function with continuous increment of clotting factor values since 32 months of age. A marked reduction of the previous extensive fibrosis was evidenced on a liver biopsy performed at 46 months of age associated with a dramatic decrease of the mitochondrial DNA depletion (35%). Consequently, an almost complete restoration of respiratory chain activities containing mitochondrial DNA-encoded subunits was observed. This is the first report of a revertant phenotype in liver mitochondrial DNA depletion syndrome.