Influence of mycorrhizal associations on foliar δ15N values of legume and non-legume shrubs and trees in the fynbos of South Africa: Implications for estimating N2 fixation using the 15N natural abundance method

In this study, we examined the use of the ¹⁵N natural abundance method to quantify the percentage N derived from fixation of atmospheric N₂ in honeybush (Cyclopia spp.) shrubs and trees in the fynbos, South Africa. Non-fixing shrubs and trees of similar phenology to the Cyclopia species were chosen as reference plants. These reference plants were selected to cover a range of mycorrhizal associations (ericoid mycorrhizal, arbuscular mycorrhizal and non-mycorrhizal). Isotopic analysis revealed a wide range of foliar ¹⁵N values for the reference plants, including many very negative values. The marked differences in ¹⁵N values were defined by the mycorrhizal status of the reference plant species, with the ericoid and arbuscular mycorrhizal plants showing lower foliar ¹⁵N values relative to their non-mycorrhizal counterparts. In contrast, the ¹⁵N values of the N₂-fixing Cyclopia species were uniformly clustered around zero, from –0.11 to –1.43. These findings are consistent with the observation that mycorrhizal fungi discriminate against the heavier ¹⁵N isotope during transfer of N from the fungus to the host plant, leaving the latter depleted in ¹⁵N (i.e. with a more negative ¹⁵N value). However, a major assumption of the ¹⁵N natural abundance method for estimating N₂ fixation is that both legume and reference plant should have the same level of fractionation associated with N uptake. But, because mycorrhizal associations may strongly affect the level of fractionation during N uptake and transfer, the test legume should belong to the same mycorrhizal group as the chosen reference plant species. As shown in this study, if the mycorrhizal status of the legume and the reference plant differs, or cannot be assessed, then the ¹⁵N natural abundance technique cannot be used to quantitatively estimate N₂ fixation.     

Can we help addicts become more autonomous? Inside the mind of an addict

I examine the impact of addiction on autonomy in terms of the standard literature on addiction--referred to also as 'substance dependence.' Then in terms of the criteria for substance dependence, by developing a set of practical strategies to help people with addictions think more clearly, I test the idea of whether addicts can be helped to become more autonomous. Given that unsuccessful attempts to quit constitute part of the criteria of substance dependence, I look at what goes wrong when people try to quit using a substance. The subjective experience of addiction is an important aid in understanding addiction and first person accounts and literary characterisations of addiction provide insight into the addict's mind and assist us in deciding whether addicts can be helped to become more autonomous.     

Modelling thalamocortical circuitry shows that visually induced LTP changes laminar connectivity in human visual cortex

Neuroplasticity is essential to learning and memory in the brain; it has therefore also been implicated in numerous neurological and psychiatric disorders, making measuring the state of neuroplasticity of foremost importance to clinical neuroscience. Long-term potentiation (LTP) is a key mechanism of neuroplasticity and has been studied extensively, and invasively in non-human animals. Translation to human application largely relies on the validation of non-invasive measures of LTP. The current study presents a generative thalamocortical computational model of visual cortex for investigating and replicating interlaminar connectivity changes using non-invasive EEG recording of humans. The model is combined with a commonly used visual sensory LTP paradigm and fit to the empirical EEG data using dynamic causal modelling. The thalamocortical model demonstrated remarkable accuracy recapitulating post-tetanus changes seen in invasive research, including increased excitatory connectivity from thalamus to layer IV and from layer IV to II/III, established major sites of LTP in visual cortex. These findings provide justification for the implementation of the presented thalamocortical model for ERP research, including to provide increased detail on the nature of changes that underlie LTP induced in visual cortex. Future applications include translating rodent findings to non-invasive research in humans concerning deficits to LTP that may underlie neurological and psychiatric disease.