How far to go? Determinants of migration distance in land mammals

Animal migration is a global phenomenon, but few studies have examined the substantial within‐ and between‐species variation in migration distances. We built a global database of 94 land migrations of large mammalian herbivore populations ranging from 10 to 1638 km. We examined how resource availability, spatial scale of resource variability and body size affect migration distance among populations. Resource availability measured as normalised difference vegetation index had a strong negative effect, predicting a tenfold difference in migration distances between low‐ and high‐resource areas and explaining 23% of the variation in migration distances. We found a weak, positive effect of the spatial scale of resource variability but no effect of body size. Resource‐poor environments are known to increase the size of mammalian home ranges and territories. Here, we demonstrate that for migratory populations as well, animals living in resource‐poor environments travel farther to fulfil their resource needs.     

How do cyanobacteria sense and respond to light?

Cyanobacteria exhibit numerous responses to changes in the intensity and spectral quality of light. What sensors do cyanobacteria use to detect light and what are the mechanisms of signal transduction? The publication in 1996 of the complete genome sequence of the cyanobacterium Synechocystis 6803 provided a tremendous stimulus for research in this field, and many light‐sensors and signal transducers have now been identified. However, our knowledge of cyanobacterial light‐signal transduction remains fragmentary. This review summarizes what we know about the ways in which cyanobacteria perceive light, some of the ways which they respond to light signals and some recent achievements in elucidating the signal transduction mechanisms. Some problems in characterizing cyanobacterial signal transduction pathways are outlined and alternative experimental strategies are discussed.     

How far do animals go? Determinants of day range in mammals

Day range (daily distance traveled) is an important measure for understanding relationships between animal distributions and food resources. However, our understanding of variation in day range across species is limited. Here we present a day range model and compare predictions against a comprehensive analysis of mammalian day range. As found in previous studies, day range scales near the 1/4 power of body mass. Also, consistent with model predictions, taxonomic groups differ in the way day range scales with mass, associated with the most common diet types and foraging habitats. Faunivores have the longest day ranges and steepest body mass scaling. Frugivores and herbivores show intermediate and low scaling exponents, respectively. Day range in primates did not scale with mass, which may be consistent with the prediction that three-dimensional foraging habitats lead to lower exponents. Day ranges increase with group size in carnivores but not in other taxonomic groups.     

How do bacteria sense and respond to low temperature?

Rigidification of the membrane appears to be the primary signal perceived by a bacterium when exposed to low temperature. The perception and transduction of the signal then occurs through a two-component signal transduction pathway consisting of a membrane-associated sensor and a cytoplasmic response regulator and as a consequence a set of cold-regulated genes are activated. In addition, changes in DNA topology due to change in temperature may also trigger cold-responsive mechanisms. Inducible proteins thus accumulated repair the damage caused by cold stress. For example, the fluidity of the rigidified membrane is restored by altering the levels of saturated and unsaturated fatty acids, by altering the fatty acid chain length, by changing the proportion of cis to trans fatty acids and by changing the proportion of anteiso to iso fatty acids. Bacteria could also achieve membrane fluidity changes by altering the protein content of the membrane and by altering the levels of the type of carotenoids synthesized. Changes in RNA secondary structure, changes in translation and alteration in protein conformation could also act as temperature sensors. This review highlights the various strategies by which bacteria senses low temperature signal and as to how it responds to the change.     

How far do songbirds disperse?

Dispersal distances determine the scales over which many population processes occur. Knowledge of these distances may therefore be crucial in determining the appropriate spatial scales for research and management. However, dispersal distances are difficult to measure, especially for vagile organisms like songbirds. For these species, the use of traditional mark–recapture and radio‐telemetry methods is problematic. We used positive one‐year time‐lagged correlations in abundance to estimate natal dispersal distances. Using the North American Breeding Bird Survey database, we examined one‐year time‐lagged correlations between pairs of North American songbird samples separated by 10–100 km. We submit that consistent positive one‐year time‐lagged correlations reflect the exchange of individuals through dispersal. We found positive one‐year time‐lagged correlations between pairs of samples from 25 different songbird species. The median distances of these correlations ranged from 15 to 95 km, depending on the species. These distances were positively correlated with body size and wing length. Dispersal appears to be the most parsimonious explanation for the time‐lagged correlations we observed in these species. The putative dispersal distances we measured are generally an order of magnitude longer than those reported in the literature.     

How do yeast cells sense glucose?

A glucose-sensing mechanism has been described in Saccharomyces cerevisiae that regulates expression of glucose transporter genes. The sensor proteins Snf3 and Rgt2 are homologous to the transporters they regulate. Snf3 and Rgt2 are integral plasma membrane proteins with unique carboxy-terminal domains that are predicted to be localized in the cytoplasm. In a recent paper Ozcan and colleagues [Ozcan S, et al. EMBO J 1998; 17:2556-2773 (Ref. 1)] present evidence that the cytoplasmic domains of Snf3 and Rgt2 are required to transmit a glucose signal. They provide additional evidence to support their earlier assertion [Ozcan S, et al. Proc Natl Acad Sci USA 1996;93:12428-12432 (Ref. 2)] that glucose transport via Snf3 and Rgt2 is not involved in glucose sensing but, rather, that these proteins behave like glucose receptors. Other examples of transporter homologs with regulatory functions have recently been described in fungi as well [Madi L, et al. Genetics 1997; 146:499-508 (Ref. 3). and Didion T, et al. Mol Microbiol 1998;27:643-650 (Ref. 4)]. The identification of this class of nutrient sensors is an important step in elucidating the complex of regulatory mechanisms that leads to adaptation of fungi to different environments.     

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.     

Episodic memory and common sense: how far apart?

Research has revealed facts about human memory in general and episodic memory in particular that deviate from both common sense and previously accepted ideas. This paper discusses some of these deviations in light of the proceedings of The Royal Society's Discussion Meeting on episodic memory. Retrieval processes play a more critical role in memory than commonly assumed; people can remember events that never happened; and conscious thoughts about one's personal past can take two distinct forms-'autonoetic' remembering and 'noetic' knowing. The serial-dependent-independent (SPI) model of the relations among episodic, semantic and perceptual memory systems accounts for a number of puzzling phenomena, such as some amnesic patients' preserved recognition memory and their ability to learn new semantic facts, and holds that episodic remembering of perceptual information can occur only by virtue of its mediation through semantic memory. Although common sense endows many animals with the ability to remember their past experiences, as yet there is no evidence that humanlike episodic memory-defined in terms of subjective time, self, and autonoetic awareness-is present in any other species.     

How do membrane proteins sense water stress?

Maintenance of cell turgor is a prerequisite for almost any form of life as it provides a mechanical force for the expansion of the cell envelope. As changes in extracellular osmolality will have similar physicochemical effects on cells from all biological kingdoms, the responses to osmotic stress may be alike in all organisms. The primary response of bacteria to osmotic upshifts involves the activation of transporters, to effect the rapid accumulation of osmoprotectants, and sensor kinases, to increase the transport and/or biosynthetic capacity for these solutes. Upon osmotic downshift, the excess of cytoplasmic solutes is released via mechanosensitive channel proteins. A number of breakthroughs in the last one or two years have led to tremendous advances in our understanding of the molecular mechanisms of osmosensing in bacteria. The possible mechanisms of osmosensing, and the actual evidence for a particular mechanism, are presented for well studied, osmoregulated transport systems, sensor kinases and mechanosensitive channel proteins. The emerging picture is that intracellular ionic solutes (or ionic strength) serve as a signal for the activation of the upshift-activated transporters and sensor kinases. For at least one system, there is strong evidence that the signal is transduced to the protein complex via alterations in the protein-lipid interactions rather than direct sensing of ion concentration or ionic strength by the proteins. The osmotic downshift-activated mechanosensitive channels, on the other hand, sense tension in the membrane but other factors such as hydration state of the protein may affect the equilibrium between open and closed states of the proteins.