Motion processing: how low can you go?

Neurons at early stages in the visual system can only 'view' small parts of the visual world, impeding their ability to determine correctly an object's motion direction. New studies suggest that this 'aperture problem' is already solved by special neurons at the first stage of motion detection in primary visual cortex.     

Sugarcane improvement: how far can we go?

In recent years, efforts to improve sugarcane have focused on the development of biotechnology for this crop. It has become clear that sugarcane lacks tools for the biotechnological route of improvement and that the initial efforts in sequencing ESTs had limited impact for breeding. Until recently, the models used by breeders in statistical genetics approaches have been developed for diploid organisms, which are not ideal for a polyploid genome such as that of sugarcane. Breeding programs are dealing with decreasing yield gains. The contribution of multiple alleles to complex traits such as yield is a basic question underlining the breeding efforts that could only be addressed by the development of specific tools for this grass. However, functional genomics has progressed and gene expression profiling is leading to the definition of gene networks. The sequencing of the sugarcane genome, which is underway, will greatly contribute to numerous aspects of research on grasses. We expect that both the transgenic and the marker-assisted route for sugarcane improvement will contribute to increased sugar, stress tolerance, and higher yield and that the industry for years to come will be able to rely on sugarcane as the most productive energy crop.     

Microvinification--how small can we go?

High-throughput methodologies to screen large numbers of microorganisms necessitate the use of small-scale culture vessels. In this context, an increasing number of researchers are turning to microtiter plate (MTP) formats to conduct experiments. MTPs are now widely used as a culturing vessel for phenotypic screening of aerobic laboratory cultures, and their suitability has been assessed for a range of applications. The work presented here extends these previous studies by assessing the metabolic footprint of MTP fermentation. A comparison of Chardonnay grape juice fermentation in MTPs with fermentations performed in air-locked (self-induced anaerobic) and cotton-plugged (aerobic) flasks was made. Maximum growth rates and biomass accumulation of yeast cultures grown in MTPs were indistinguishable from self-induced anaerobic flask cultures. Metabolic profiles measured differed depending on the metabolite. While glycerol and acetate accumulation mirrored that of self-induced anaerobic cultures, ethanol accumulation in MTP ferments was limited by the increased propensity of this volatile metabolite for evaporation in microlitre-scale culture format. The data illustrates that microplate cultures can be used as a replacement for self-induced anaerobic flasks in some instances and provide a useful and economical platform for the screening of industrial strains and culture media.     

Inferring landscape effects on dispersal from genetic distances: how far can we go?

Functional connectivity affects demography and gene dynamics in fragmented populations. Besides species-specific dispersal ability, the connectivity between local populations is affected by the landscape elements encountered during dispersal. Documenting these effects is thus a central issue for the conservation and management of fragmented populations. In this study, we compare the power and accuracy of three methods (partial correlations, regressions and Approximate Bayesian Computations) that use genetic distances to infer the effect of landscape upon dispersal. We use stochastic individual-based simulations of fragmented populations surrounded by landscape elements that differ in their permeability to dispersal. The power and accuracy of all three methods are good when there is a strong contrast between the permeability of different landscape elements. The power and accuracy can be further improved by restricting analyses to adjacent pairs of populations. Landscape elements that strongly impede dispersal are the easiest to identify. However, power and accuracy decrease drastically when landscape complexity increases and the contrast between the permeability of landscape elements decreases. We provide guidelines for future studies and underline the needs to evaluate or develop approaches that are more powerful.     

Leptin in farm animals: where are we and where can we go?

Fat affects meat quality, value and production efficiency as well as providing energy reserves for pregnancy and lactation in farm livestock. Leptin, the adipocyte product of the obese (ob) gene, was quickly seen as a predictor of body fat content in animals approaching slaughter and an aid to assessing reproductive readiness in females. Its participation in inflammation and immune responses that help animals survive infection and trauma has clear additional relevance to meat and milk production. Furthermore, almost a decade of discoveries of nucleotide polymorphisms in the leptin and leptin receptor genes has suggested useful applications relating to feed intake regulation, the efficiency of feed use, the composition of growth, the timing of puberty, mammogenesis and mammary gland function and fertility in cattle, pigs and poultry. The current review attempts to summarise where research has taken us in each of these aspects and speculates on where future research might lead.     

Y chromosome and other heterochromatic sequences of the Drosophila melanogaster genome: how far can we go?

Whole genome shotgun assemblies have proven remarkably successful in reconstructing the bulk of euchromatic genes, with the only limit appearing to be determined by the sequencing depth. For genes imbedded in heterochromatin, however, the low cloning efficiency of repetitive sequences, combined with the computational challenges, demand that additional clues be used to annotate the sequences. One approach that has proven very successful in identifying protein coding genes in Y-linked heterochromatin of Drosophila melanogaster has been to make a BLASTable database of the small, unmapped contigs and fragments leftover at the end of a shotgun assembly, and to attempt to capture these by blasting with an appropriate query sequence. This approach often yields a staggered alignment of contigs from the unmapped set to the query sequence, as though the disjoint contigs represent small portions of the gene. Further inspection frequently shows that the contigs are broken by very large, heterochromatic introns. Methods of this sort are being expanded to make best use of all available clues to determine which unmapped contigs are associated with genes. These include use of EST libraries, and, in the case of the Y chromosome, testing of male specific genes and reduced shotgun depth of relevant contigs. It appears much more hopeful than anyone would have imagined that whole genome shotgun assemblies can recover the great bulk of even heterochromatic genes.     

What can epidemiology tell us about risks at low doses?

Puskin, J. S. What Can Epidemiology Tell Us about Risks at Low Doses? Radiat. Res. 169, 122-124 (2008). Limitations on statistical power preclude direct detection and quantification of radiogenic cancer risks at very low (environmental) levels of low-LET radiation through epidemiological studies. Given this limitation and our incomplete understanding of cellular processes leading to radiation carcinogenesis, an "effective threshold" in the dose range of interest for radiation protection cannot yet be ruled out. Ongoing epidemiological studies of chronically exposed individuals receiving very low daily doses of radiation can be used, however, together with radiobiological data, to critically test whether such a threshold is plausible.     

BMP, Wnt and Hedgehog signals: how far can they go?

Wnt, Hedgehog and bone morphogenetic proteins function as either short-range or long-range signaling molecules depending on the tissue in which they are expressed. In the past year, filapodia-like cytoplasmic extensions, cell-surface proteogylcans and/or extracellular binding proteins have been identified that may enable these molecules to signal at a distance. Furthermore, recent studies suggest that variations in the signaling range of these molecules may be due to tissue-specific differences in intracellular processing or tissue-restricted expression of binding proteins.     

Dates from the molecular clock: how wrong can we be?

Large discrepancies have been found in dates of evolutionary events obtained using the molecular clock. Twofold differences have been reported between the dates estimated from molecular data and those from the fossil record; furthermore, different molecular methods can give dates that differ 20-fold. New software attempts to incorporate appropriate allowances for this uncertainty into the calculation of the accuracy of date estimates. Here, we propose that these innovations represent welcome progress towards obtaining reliable dates from the molecular clock, but warn that they are currently unproven, given that the causes and pattern of the discrepancies are the subject of ongoing research. This research implies that many previous studies, even some of those using recently developed methods, might have placed too much confidence in their date estimates, and their conclusions might need to be revised.     

Lipids in cell biology: how can we understand them better?

Lipids are a major class of biological molecules and play many key roles in different processes. The diversity of lipids is on the same order of magnitude as that of proteins: cells express tens of thousands of different lipids and hundreds of proteins to regulate their metabolism and transport. Despite their clear importance and essential functions, lipids have not been as well studied as proteins. We discuss here some of the reasons why it has been challenging to study lipids and outline technological developments that are allowing us to begin lifting lipids out of their “Cinderella” status. We focus on recent advances in lipid identification, visualization, and investigation of their biophysics and perturbations and suggest that the field has sufficiently advanced to encourage broader investigation into these intriguing molecules.Lipids are fundamental building blocks of all cells and play many important and varied roles. They are key components of the plasma membrane and other cellular compartments, including the nuclear membrane, the endoplasmic reticulum, the Golgi apparatus, and trafficking vesicles such as endosomes and lysosomes. The lipid composition of different organelles, cell types, and ultimately tissues can vary substantially, suggesting that different lipids are required for different functions (Saghatelian et al., 2006 ; Klose et al., 2013 ). Mammalian cells express tens of thousands of different lipid species and use hundreds of proteins to synthesize, metabolize, and transport them. Although the complexity and diversity of lipids approach those of proteins, we have a much poorer understanding of their functions, making lipids in many ways the “Cinderellas” of cell biology. We discuss here recent advances, and challenges, in investigating how these molecules contribute to the many biological processes in which they participate.Like proteins, lipids can have structural (e.g., by stabilizing different membrane curvatures) or signaling roles. Posttranslational lipidation of proteins (e.g., palmitoylation or farnesylation) and carbohydrate-linked lipids (glycolipids) are also important examples of cellular lipid pools. It is clear that higher-order organization is key to most lipid functions, and they are believed to assemble into signaling platforms that contain both lipids and proteins (Kusumi et al., 2012 ). Some lipid microdomains are termed lipid rafts, and much ongoing effort is being focused on defining their parameters (Simons and Sampaio, 2011 ; Suzuki et al., 2012 ; Klotzsch and Schutz, 2013 ). Because of this focus on lipid rafts, we have a better understanding of the properties of proposed raft lipids (e.g., sphingomyelins and cholesterol) than of many other lipid species. Much of what we know about lipids has come from studying synthetic membranes with specific lipid compositions. Although model membranes usually consist of very few (<10) lipid species, they have been useful for understanding the biophysical properties of lipids. At the other end of the spectrum, lipids have been implicated in various diseases, with cholesterol metabolism being a prominent example. We are now getting to a point at which we can address the roles of lipids in the middle of the spectrum—in cells.     

Warming effects on marine microbial food web processes: how far can we go when it comes to predictions?

Previsions of a warmer ocean as a consequence of climatic change point to a 2–6°C temperature rise during this century in surface oceanic waters. Heterotrophic bacteria occupy the central position of the marine microbial food web, and their metabolic activity and interactions with other compartments within the web are regulated by temperature. In particular, key ecosystem processes like bacterial production (BP), respiration (BR), growth efficiency and bacterial–grazer trophic interactions are likely to change in a warmer ocean. Different approaches can be used to predict these changes. Here we combine evidence of the effects of temperature on these processes and interactions coming from laboratory experiments, space-for-time substitutions, long-term data from microbial observatories and theoretical predictions. Some of the evidence we gathered shows opposite trends to warming depending on the spatio-temporal scale of observation, and the complexity of the system under study. In particular, we show that warming (i) increases BR, (ii) increases bacterial losses to their grazers, and thus bacterial–grazer biomass flux within the microbial food web, (iii) increases BP if enough resources are available (as labile organic matter derived from phytoplankton excretion or lysis), and (iv) increases bacterial losses to grazing at lower rates than BP, and hence decreasing the proportion of production removed by grazers. As a consequence, bacterial abundance would also increase and reinforce the already dominant role of microbes in the carbon cycle of a warmer ocean.     

Junctional kyphosis: how can we detect and monitor it during growth?

Background

Despite its importance in affecting adult pain, and disability, there is a lack of universal criteria for the diagnosis and evaluation of thoraco-lumbar Junctional Kyphosis (JK) and a gold standard measurement and diagnostic system does not exist.This study aims to verify the sensibility and specificity of clinical, and Formetric surface topography (FST) data in identifying Junctional Kyphosis in respect to the radiographical standard references.

Methods

Design: This is a cross sectional study from a prospective database started in March 2003.Participants: 38 subjects.

Inclusion criteria: Patients selected by age according to Risser score 1, at first visit with lateral x-rays and FST. Diagnostic test used to detect JK:

• FST criteria: level of thoraco-lumbar inflexion point in percentage compared to the total height of the spine.
• X-ray criteria: lower limit of thoracic kyphosis below T12.

Statistics: sensitivity, specificity, positive (PPV) and negative predictive values (NPV), ROC curve.

Results

FST showed a good reliability in detecting JK: with a threshold of 75 %, PPV was 100 %, NPV was 86 % and the Area Under the Curve was 83 %.

Conclusion

The need for a useful criteria able to characterize JK to allow diagnosis and monitoring of the deformity is still lacking, and further studies will deepen this issue.