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      Spatial Reorientation by Geometry in Bumblebees

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          Abstract

          Human and non-human animals are capable of using basic geometric information to reorient in an environment. Geometric information includes metric properties associated with spatial surfaces (e.g., short vs. long wall) and left-right directionality or ‘sense’ (e.g. a long wall to the left of a short wall). However, it remains unclear whether geometric information is encoded by explicitly computing the layout of surface geometry or by matching images of the environment. View-based spatial encoding is generally thought to hold for insect navigation and, very recently, evidence for navigation by geometry has been reported in ants but only in a condition which does not allow the animals to use features located far from the goal. In this study we tested the spatial reorientation abilities of bumblebees ( Bombus terrestris). After spatial disorientation, by passive rotation both clockwise and anticlockwise, bumblebees had to find one of the four exit holes located in the corners of a rectangular enclosure. Bumblebees systematically confused geometrically equivalent exit corners (i.e. corners with the same geometric arrangement of metric properties and sense, for example a short wall to the left of a long wall). However, when one wall of the enclosure was a different colour, bumblebees appeared to combine this featural information (either near or far from the goal) with geometric information to find the correct exit corner. Our results show that bumblebees are able to use both geometric and featural information to reorient themselves, even when features are located far from the goal.

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          Distinctive Paleo-Indian migration routes from Beringia marked by two rare mtDNA haplogroups.

          It is widely accepted that the ancestors of Native Americans arrived in the New World via Beringia approximately 10 to 30 thousand years ago (kya). However, the arrival time(s), number of expansion events, and migration routes into the Western Hemisphere remain controversial because linguistic, archaeological, and genetic evidence have not yet provided coherent answers. Notably, most of the genetic evidence has been acquired from the analysis of the common pan-American mitochondrial DNA (mtDNA) haplogroups. In this study, we have instead identified and analyzed mtDNAs belonging to two rare Native American haplogroups named D4h3 and X2a. Phylogeographic analyses at the highest level of molecular resolution (69 entire mitochondrial genomes) reveal that two almost concomitant paths of migration from Beringia led to the Paleo-Indian dispersal approximately 15-17 kya. Haplogroup D4h3 spread into the Americas along the Pacific coast, whereas X2a entered through the ice-free corridor between the Laurentide and Cordilleran ice sheets. The examination of an additional 276 entire mtDNA sequences provides similar entry times for all common Native American haplogroups, thus indicating at least a dual origin for Paleo- Indians. A dual origin for the first Americans is a striking novelty from the genetic point of view, and it makes plausible a scenario positing that within a rather short period of time, there may have been several entries into the Americas from a dynamically changing Beringian source. Moreover, this implies that most probably more than one language family was carried along with the Paleo-Indians.
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            A purely geometric module in the rat's spatial representation.

            K. Cheng (1986)
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              Long-term plasticity in hippocampal place-cell representation of environmental geometry.

              The hippocampus is widely believed to be involved in the storage or consolidation of long-term memories. Several reports have shown short-term changes in single hippocampal unit activity during memory and plasticity experiments, but there has been no experimental demonstration of long-term persistent changes in neuronal activity in any region except primary cortical areas. Here we report that, in rats repeatedly exposed to two differently shaped environments, the hippocampal-place-cell representations of those environments gradually and incrementally diverge; this divergence is specific to environmental shape, occurs independently of explicit reward, persists for periods of at least one month, and transfers to new enclosures of the same shape. These results indicate that place cells may be a neural substrate for long-term incidental learning, and demonstrate the long-term stability of an experience-dependent firing pattern in the hippocampal formation.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                18 May 2012
                : 7
                : 5
                : e37449
                Affiliations
                [1 ]Centre for Mind/Brain Sciences, University of Trento, Rovereto, Italy
                [2 ]Departments Sustainable Agro-ecosystems and Bioresources, Research and Innovation Centre, Instituto Agrario Di San Michele All'Adige (IASMA), Fondazione Edmund Mach, San Michele all'Adige, Italy
                Royal Holloway University of London, United Kingdom
                Author notes

                Conceived and designed the experiments: VAS ER GV. Performed the experiments: VAS ER. Analyzed the data: VAS GV. Wrote the paper: VAS GV.

                Article
                PONE-D-11-09828
                10.1371/journal.pone.0037449
                3356259
                22624033
                d4825a30-69d1-4240-a186-4a183c161ad6
                Sovrano et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 3 June 2011
                : 23 April 2012
                Page count
                Pages: 7
                Categories
                Research Article
                Agriculture
                Animal Management
                Animal Behavior
                Biology
                Evolutionary Biology
                Animal Behavior
                Neuroscience
                Animal Cognition
                Behavioral Neuroscience
                Zoology
                Animal Behavior
                Entomology
                Veterinary Science
                Animal Management
                Animal Behavior

                Uncategorized
                Uncategorized

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