Demographic stochasticity and resource autocorrelation control biological invasions in heterogeneous landscapes

Mounting theoretical evidence suggests that demographic stochasticity, environmental heterogeneity and biased movement of organisms individually affect the dynamics of biological invasions and range expansions. Studies of species spread in heterogeneous landscapes have traditionally characterized invasion velocities as functions of the mean resource density throughout the landscape, thus neglecting higher‐order moments of the spatial resource distribution. Here, we show theoretically that different spatial arrangements of resources lead to different spread velocities even if the mean resource density throughout the landscape is kept constant. Specifically, we find that increasing the resource autocorrelation length causes a reduction in the speed of species spread. The model shows that demographic stochasticity plays a key role in the slowdown, which is strengthened when individuals can actively move towards resources. We then experimentally corroborated the theoretically predicted reduction in propagation speed in microcosm experiments with the protist Euglena gracilis by comparing spread in landscapes with different resource autocorrelation lengths. Our work identifies the resource autocorrelation length as a key modulator and a simple measure of landscape susceptibility to biological invasions, which needs to be considered for predicting invasion dynamics within naturally heterogeneous environmental corridors.     

Autosomal dominant myopathy with proximal weakness and early respiratory muscle involvement maps to chromosome 2q

Two Swedish families with autosomal dominant myopathy, who also had proximal weakness, early respiratory failure, and characteristic cytoplasmic bodies in the affected muscle biopsies, were screened for linkage by means of the human genome screening set (Cooperative Human Linkage Center Human Screening Set/Weber version 6). Most chromosome regions were completely excluded by linkage analysis (LOD score <-2). Linkage to the chromosomal region 2q24-q31 was established. A maximum combined two-point LOD score of 4.87 at a recombination fraction of 0 was obtained with marker D2S1245. Haplotype analysis indicated that the gene responsible for the disease is likely to be located in the 17-cM region between markers D2S2384 and D2S364. The affected individuals from these two families share an identical haplotype, which suggests a common origin.     

Axotomy-induced apoptosis in adult rat primary sensory neurons

Neuronal death following unilateral axotomy of a sensory nerve has long been inferred from neuronal counts of dorsal root ganglion neurons, using the contralateral ganglia as a control. The counting methods used usually involved the counting of neuronal nucleoli and made assumptions about them which could conceivably be flawed. Very few studies have used direct observations of dying or degenerating neurons to address questions concerning the duration of the period of neuronal death or the mechanisms involved in this process. Here we describe a morphological, morphometric and histochemical study into the nature and duration of sensory neuron death following transection and ligation of the sciatic nerve at mid-thigh level in the adult rat. We show that at least some of this neuronal loss occurs by apoptosis as defined by morphological criteria and in situ end-labelling of damaged DNA. Absolute numbers of apoptotic neurons were counted from serial paraffin sections of ganglia and estimates of neuronal numbers obtained by disector analysis at 1, 2, 3 and 6 months after axotomy. Using this approach we show that axotomy-induced apoptosis begins at around 1 week and continues up to at least 6 months after axotomy.     

Constrained proteome allocation affects coexistence in models of competitive microbial communities

Microbial communities are ubiquitous and play crucial roles in many natural processes. Despite their importance for the environment, industry and human health, there are still many aspects of microbial community dynamics that we do not understand quantitatively. Recent experiments have shown that the structure and composition of microbial communities are intertwined with the metabolism of the species that inhabit them, suggesting that properties at the intracellular level such as the allocation of cellular proteomic resources must be taken into account when describing microbial communities with a population dynamics approach. In this work, we reconsider one of the theoretical frameworks most commonly used to model population dynamics in competitive ecosystems, MacArthur’s consumer-resource model, in light of experimental evidence showing how proteome allocation affects microbial growth. This new framework allows us to describe community dynamics at an intermediate level of complexity between classical consumer-resource models and biochemical models of microbial metabolism, accounting for temporally-varying proteome allocation subject to constraints on growth and protein synthesis in the presence of multiple resources, while preserving analytical insight into the dynamics of the system. We first show with a simple experiment that proteome allocation needs to be accounted for to properly understand the dynamics of even the simplest microbial community, i.e. two bacterial strains competing for one common resource. Then, we study our consumer-proteome-resource model analytically and numerically to determine the conditions that allow multiple species to coexist in systems with arbitrary numbers of species and resources.Subject terms: Biodiversity, Microbial ecology, Microbial ecology, Bacterial physiology