The Case for Community Self-Governance on Access and Benefit Sharing of Digital Sequence Information

Digital sequence information (DSI),  a placeholder term commonly understood to refer to information related to genetic sequences stored in a digital format, has become a foundational component to biological research and its applications, including biodiversity conservation and biotechnological innovation. DSI results from the physical access to and use of genetic resources, which falls under the purview of the Convention on Biological Diversity (CBD) and the Nagoya Protocol on Access to Genetic Resources and the Fair and Equitable Sharing of Benefits Arising from their Utilization (NP). The CBD and the NP are legal frameworks governing access to genetic resources and the fair and equitable sharing of benefits arising from their use, a mechanism widely known as access and benefit sharing (ABS). Despite good intentions, a number of national regimes adopted in pursuance of the CBD and NP have created complex, ineffective frameworks that exacerbate the risk of counterproductive effects for biodiversity conservation and sustainable use. The debate on DSI focuses on what DSI includes, whether it is covered by the CBD or the NP and the possible implications of its inclusion or exclusion from these agreements. The CBD and NP parties agreed on a science- and policy-based process to debate the treatment of DSI. This process entailed the submission of views and information by parties, other governments, indigenous and local communities, and relevant organizations and stakeholders; the commissioning of technical studies; and the establishment of the Ad Hoc Technical Expert Group (AHTEG) on DSI. In the present article, we propose recommendations that can contribute to the upcoming discussion on DSI.Fil: Adler Miserendino, Rebecca A. Lewis Burke Associates; Estados UnidosFil: Meyer, Rachel Sarah. University of California; Estados UnidosFil: Zimkus, Breda M. Harvard University; Estados UnidosFil: Bates, John. Field Museum of National History; Estados UnidosFil: Silvestri, Luciana Carla. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Ciencias Humanas, Sociales y Ambientales; ArgentinaFil: Taylor, Crispin. American Society Of Plant Biologists ; Estados UnidosFil: Blumenfield, Tami. University of New Mexico; Estados Unidos. Yunnan University; ChinaFil: Srigyan, Megha. University of California; Estados UnidosFil: Pandey, Jyotsna L. American Institute Of Biological Sciences; Estados Unido

Patrones de distribución de las comunidades de humedales patagónicos a una escala de paisaje.

Capítulo de libroEn este proyecto nos propusimos analizar los patrones de distribución de especies acuáticas en charcas de humedales patagónicos en relación con el encuadre hidrogeomorfológico, aspectos climáticos y el uso actual de la tierra y evaluar los cambios ambientales y las respuestas de las comunidades acuáticas (por ejemplo, invertebrados, macrófitas) en términos de diversidad, estructura y función frente a los cambios ambientales a diferentes escalas.Fil: Manzo, Luz M. Centro de Investigación Esquel de Montaña y Estepa Patagónica (CIEMEP) CONICET/UNPSJB, Chubut, Argentina. Email: [email protected]: Epele, Luis B.. Centro de Investigación Esquel de Montaña y Estepa Patagónica (CIEMEP) CONICET/UNPSJB, Chubut, Argentina. Email: [email protected]: Grech, Marta G.. Centro de Investigación Esquel de Montaña y Estepa Patagónica (CIEMEP) CONICET/UNPSJB, Chubut, Argentina. Email: [email protected]: Kandus, Patricia. Laboratorio de Ecología, Teledetección y Eco-Informática Instituto de Investigaciones e Ingeniería Ambiental, UNSAM, Argentina. Email: [email protected]: Miserendino, María L.. Centro de Investigación Esquel de Montaña y Estepa Patagónica (CIEMEP) CONICET/UNPSJB, Chubut, Argentina. Email: [email protected]

A comparative analysis reveals weak relationships between ecological factors and beta diversity of stream insect metacommunities at two spatial levels.

The hypotheses that beta diversity should increase with decreasing latitude and increase with spatial extent of a region have rarely been tested based on a comparative analysis of multiple datasets, and no such study has focused on stream insects. We first assessed how well variability in beta diversity of stream insect metacommunities is predicted by insect group, latitude, spatial extent, altitudinal range, and dataset properties across multiple drainage basins throughout the world. Second, we assessed the relative roles of environmental and spatial factors in driving variation in assemblage composition within each drainage basin. Our analyses were based on a dataset of 95 stream insect metacommunities from 31 drainage basins distributed around the world. We used dissimilarity-based indices to quantify beta diversity for each metacommunity and, subsequently, regressed beta diversity on insect group, latitude, spatial extent, altitudinal range, and dataset properties (e.g., number of sites and percentage of presences). Within each metacommunity, we used a combination of spatial eigenfunction analyses and partial redundancy analysis to partition variation in assemblage structure into environmental, shared, spatial, and unexplained fractions. We found that dataset properties were more important predictors of beta diversity than ecological and geographical factors across multiple drainage basins. In the within-basin analyses, environmental and spatial variables were generally poor predictors of variation in assemblage composition. Our results revealed deviation from general biodiversity patterns because beta diversity did not show the expected decreasing trend with latitude. Our results also call for reconsideration of just how predictable stream assemblages are along ecological gradients, with implications for environmental assessment and conservation decisions. Our findings may also be applicable to other dynamic systems where predictability is low

Spatial distribution of bivalves in relation to environmental conditions (middle Danube catchment, Hungary)

The spatial distribution of bivalves in relation to environmental conditions was studied along a second- and third order stream – medium-sized river (River Ipoly) – large river (River Danube) continuum in the Hungarian Danube River system. Quantitative samples were collected four times in 2007 and a total of 1662 specimens, belonging to 22 bivalve species were identified. Among these species, two are endangered (Pseudanodonta complanata, Unio crassus) and five are invasive (Dreissena polymorpha, D. rostriformis bugensis, Corbicula fluminea, C. fluminalis, Anodonta woodiana) in Hungary. The higher density presented by Pisidium subtruncatum, P. supinum, P. henslowanum and C. fluminea suggests that these species may have a key role in this ecosystem. Three different faunal groups were distinguished but no significant temporal change was detected. The lowest density and diversity with two species (P. casertanum and P. personatum) occurred in streams. The highest density and diversity was found in the River Ipoly, in the side arms of the Danube and in the main arm of the Danube with sand and silt substrate, being dominated by P. subtruncatum and P. henslowanum. Moderate density and species richness were observed in the main arm of the Danube with pebble and stone substrate, being dominated by C. fluminea and S. rivicola. Ten environmental variables were found to have significant influence on the distribution of bivalves, the strongest explanatory factors being substrate types, current velocity and sedimentological characteristics.The project was financially supported by the Hungarian Scientific Research Fund under the contract No. OTKA T/046180. Special thanks to the DanubeIpoly National Park for the help in field work.info:eu-repo/semantics/publishedVersio

Gene-enhanced tissue engineering for dental hard tissue regeneration: (2) dentin-pulp and periodontal regeneration

Potential applications for gene-based tissue engineering therapies in the oral and maxillofacial complex include the delivery of growth factors for periodontal regeneration, pulp capping/dentin regeneration, and bone grafting of large osseous defects in dental and craniofacial reconstruction. Part 1 reviewed the principals of gene-enhanced tissue engineering and the techniques of introducing DNA into cells. This manuscript will review recent advances in gene-based therapies for dental hard tissue regeneration, specifically as it pertains to dentin regeneration/pulp capping and periodontal regeneration

An Animal Model of Emotional Blunting in Schizophrenia

Schizophrenia is often associated with emotional blunting—the diminished ability to respond to emotionally salient stimuli—particularly those stimuli representative of negative emotional states, such as fear. This disturbance may stem from dysfunction of the amygdala, a brain region involved in fear processing. The present article describes a novel animal model of emotional blunting in schizophrenia. This model involves interfering with normal fear processing (classical conditioning) in rats by means of acute ketamine administration. We confirm, in a series of experiments comprised of cFos staining, behavioral analysis and neurochemical determinations, that ketamine interferes with the behavioral expression of fear and with normal fear processing in the amygdala and related brain regions. We further show that the atypical antipsychotic drug clozapine, but not the typical antipsychotic haloperidol nor an experimental glutamate receptor 2/3 agonist, inhibits ketamine's effects and retains normal fear processing in the amygdala at a neurochemical level, despite the observation that fear-related behavior is still inhibited due to ketamine administration. Our results suggest that the relative resistance of emotional blunting to drug treatment may be partially due to an inability of conventional therapies to target the multiple anatomical and functional brain systems involved in emotional processing. A conceptual model reconciling our findings in terms of neurochemistry and behavior is postulated and discussed

Spike-Timing Precision and Neuronal Synchrony Are Enhanced by an Interaction between Synaptic Inhibition and Membrane Oscillations in the Amygdala

The basolateral complex of the amygdala (BLA) is a critical component of the neural circuit regulating fear learning. During fear learning and recall, the amygdala and other brain regions, including the hippocampus and prefrontal cortex, exhibit phase-locked oscillations in the high delta/low theta frequency band (∼2–6 Hz) that have been shown to contribute to the learning process. Network oscillations are commonly generated by inhibitory synaptic input that coordinates action potentials in groups of neurons. In the rat BLA, principal neurons spontaneously receive synchronized, inhibitory input in the form of compound, rhythmic, inhibitory postsynaptic potentials (IPSPs), likely originating from burst-firing parvalbumin interneurons. Here we investigated the role of compound IPSPs in the rat and rhesus macaque BLA in regulating action potential synchrony and spike-timing precision. Furthermore, because principal neurons exhibit intrinsic oscillatory properties and resonance between 4 and 5 Hz, in the same frequency band observed during fear, we investigated whether compound IPSPs and intrinsic oscillations interact to promote rhythmic activity in the BLA at this frequency. Using whole-cell patch clamp in brain slices, we demonstrate that compound IPSPs, which occur spontaneously and are synchronized across principal neurons in both the rat and primate BLA, significantly improve spike-timing precision in BLA principal neurons for a window of ∼300 ms following each IPSP. We also show that compound IPSPs coordinate the firing of pairs of BLA principal neurons, and significantly improve spike synchrony for a window of ∼130 ms. Compound IPSPs enhance a 5 Hz calcium-dependent membrane potential oscillation (MPO) in these neurons, likely contributing to the improvement in spike-timing precision and synchronization of spiking. Activation of the cAMP-PKA signaling cascade enhanced the MPO, and inhibition of this cascade blocked the MPO. We discuss these results in the context of spike-timing dependent plasticity and modulation by neurotransmitters important for fear learning, such as dopamine