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Differential Investment in Brain Regions for a Diurnal and Nocturnal Lifestyle in Australian Myrmecia Ants
Received: 12 July 2018 Revised: 7 December 2018 Accepted: 22 December 2018 DOI: 10.1002/cne.24617 RESEARCH ARTICLE Differential investment in brain regions for a diurnal and nocturnal lifestyle in Australian Myrmecia ants Zachary B. V. Sheehan1 | J. Frances Kamhi1 | Marc A. Seid1,2 | Ajay Narendra1 1Department of Biological Sciences, Macquarie University, Sydney, New South Wales, Abstract Australia Animals are active at different times of the day. Each temporal niche offers a unique light envi- 2Biology Department, Neuroscience Program, ronment, which affects the quality of the available visual information. To access reliable visual The University of Scranton, Scranton, signals in dim-light environments, insects have evolved several visual adaptations to enhance Pennsylvania their optical sensitivity. The extent to which these adaptations reflect on the sensory processing Correspondence Department of Biological Sciences, Macquarie and integration capabilities within the brain of a nocturnal insect is unknown. To address this, University, 205 Culloden Road, Sydney, NSW we analyzed brain organization in congeneric species of the Australian bull ant, Myrmecia, that 2109, Australia. rely predominantly on visual information and range from being strictly diurnal to strictly noctur- Email: [email protected] nal. Weighing brains and optic lobes of seven Myrmecia species, showed that after controlling Funding information for body mass, the brain mass was not significantly different between diurnal and nocturnal Australian Research Council, Grant/Award Numbers: DP150101172, FT140100221 ants. However, the optic lobe mass, after controlling for central brain mass, differed between day- and night-active ants. Detailed volumetric analyses showed that the nocturnal ants invested relatively less in the primary visual processing regions but relatively more in both the primary olfactory processing regions and in the integration centers of visual and olfactory sen- sory information. -
Compass Cues Used by a Nocturnal Bull Ant, Myrmecia Midas Cody A
© 2017. Published by The Company of Biologists Ltd | Journal of Experimental Biology (2017) 220, 1578-1585 doi:10.1242/jeb.152967 RESEARCH ARTICLE Compass cues used by a nocturnal bull ant, Myrmecia midas Cody A. Freas*, Ajay Narendra and Ken Cheng ABSTRACT skylight derived from the sun (e.g. Zeil et al., 2014b). The Ants use both terrestrial landmarks and celestial cues to navigate to polarization information is acquired through a specialized dorsal ’ and from their nest location. These cues persist even as light levels region of the ant s eyes (e.g. Zeil et al., 2014b; Narendra et al., drop during the twilight/night. Here, we determined the compass cues 2016b) and is processed via polarization-sensitive optic lobe used by a nocturnal bull ant, Myrmecia midas, in which the majority of neurons (Schmitt et al., 2015). This directional information is individuals begin foraging during the evening twilight period. coupled with distance information, which the ant accumulates as it Myrmecia midas foragers with vectors of ≤5 m when displaced to travels away from the nest. To return home, ants integrate these two unfamiliar locations did not follow the home vector, but instead sources of information and compute the shortest home vector (e.g. showed random heading directions. Foragers with larger home Collett and Collett, 2000; Wehner and Srinivasan, 2003). vectors (≥10 m) oriented towards the fictive nest, indicating a possible These vision-based navigational abilities have been widely increase in cue strength with vector length. When the ants were studied in diurnal ants, which are active when visual cues are easy displaced locally to create a conflict between the home direction to distinguish (Wehner et al., 1996; Fukushi, 2001; Beugnon et al., indicated by the path integrator and terrestrial landmarks, foragers 2005; Cheng et al., 2009; Bühlmann et al., 2011). -
Detour Learning Ability and the Effect of Novel Sensory Cues On
bioRxiv preprint doi: https://doi.org/10.1101/2021.01.25.428158; this version posted January 27, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Detour learning ability and the effect of novel sensory cues on 2 learning in Australian bull ants, Myrmecia midas 3 4 Muzahid Islam1, Sudhakar Deeti1, Zakia Mahmudah1, J. Frances Kamhi1,2, Ken Cheng1 5 6 1Department of Biological Sciences, Macquarie University, Sydney, Australia 7 2Neuroscience Department, Oberlin College, Oberlin, Ohio, USA 8 9 Subject Category: Neuroscience and Cognition 10 Running Head: Learning & Cognitive ability of bull ant 11 12 Keywords: Detour Learning, Successful Foragers, Path Straightness, Motor Routine 13 14 Author for correspondence: 15 Muzahid Islam 16 e-mail: [email protected] 17 bioRxiv preprint doi: https://doi.org/10.1101/2021.01.25.428158; this version posted January 27, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 18 Detour learning ability and the effect of novel sensory cues on 19 learning in Australian bull ants, Myrmecia midas 20 21 ABSTRACT 22 Many animals navigate in a structurally complex environment which requires them to detour around 23 physical barriers that they encounter. While many studies in animal cognition suggest that they are able to 24 adeptly avoid obstacles, it is unclear whether a new route is learned to navigate around these barriers and, 25 if so, what sensory information may be used to do so. -
Biodiversity Summary for NRM Regions Species List
Biodiversity Summary for NRM Regions Species List What is the summary for and where does it come from? This list has been produced by the Department of Sustainability, Environment, Water, Population and Communities (SEWPC) for the Natural Resource Management Spatial Information System. The list was produced using the AustralianAustralian Natural Natural Heritage Heritage Assessment Assessment Tool Tool (ANHAT), which analyses data from a range of plant and animal surveys and collections from across Australia to automatically generate a report for each NRM region. Data sources (Appendix 2) include national and state herbaria, museums, state governments, CSIRO, Birds Australia and a range of surveys conducted by or for DEWHA. For each family of plant and animal covered by ANHAT (Appendix 1), this document gives the number of species in the country and how many of them are found in the region. It also identifies species listed as Vulnerable, Critically Endangered, Endangered or Conservation Dependent under the EPBC Act. A biodiversity summary for this region is also available. For more information please see: www.environment.gov.au/heritage/anhat/index.html Limitations • ANHAT currently contains information on the distribution of over 30,000 Australian taxa. This includes all mammals, birds, reptiles, frogs and fish, 137 families of vascular plants (over 15,000 species) and a range of invertebrate groups. Groups notnot yet yet covered covered in inANHAT ANHAT are notnot included included in in the the list. list. • The data used come from authoritative sources, but they are not perfect. All species names have been confirmed as valid species names, but it is not possible to confirm all species locations. -
Biodiversity Summary: Wet Tropics, Queensland
Biodiversity Summary for NRM Regions Species List What is the summary for and where does it come from? This list has been produced by the Department of Sustainability, Environment, Water, Population and Communities (SEWPC) for the Natural Resource Management Spatial Information System. The list was produced using the AustralianAustralian Natural Natural Heritage Heritage Assessment Assessment Tool Tool (ANHAT), which analyses data from a range of plant and animal surveys and collections from across Australia to automatically generate a report for each NRM region. Data sources (Appendix 2) include national and state herbaria, museums, state governments, CSIRO, Birds Australia and a range of surveys conducted by or for DEWHA. For each family of plant and animal covered by ANHAT (Appendix 1), this document gives the number of species in the country and how many of them are found in the region. It also identifies species listed as Vulnerable, Critically Endangered, Endangered or Conservation Dependent under the EPBC Act. A biodiversity summary for this region is also available. For more information please see: www.environment.gov.au/heritage/anhat/index.html Limitations • ANHAT currently contains information on the distribution of over 30,000 Australian taxa. This includes all mammals, birds, reptiles, frogs and fish, 137 families of vascular plants (over 15,000 species) and a range of invertebrate groups. Groups notnot yet yet covered covered in inANHAT ANHAT are notnot included included in in the the list. list. • The data used come from authoritative sources, but they are not perfect. All species names have been confirmed as valid species names, but it is not possible to confirm all species locations. -
ICN 2018 Program Book
International Congress of Neuroethology CONFERENCE PROGRAM PLATINUM SPONSOR 1 Contents Acknowledgements Committees ................................3 Thank you to our Sponsors and Exhibitors Welcome messages ....................4 General information ..................7 Platinum Koala Venue maps .............................10 Social program ........................12 Satellite meetings ....................13 Plenary speakers ......................16 Keynote Speaker Poster Session Sponsor Sponsor PROGRAM Sunday 15 July ................26 Monday 16 July ...............27 Tuesday 17 July ................28 Wednesday 18 July...........34 Institutional Presidential Symposium Sponsor Sponsor Thursday 19 July ..............36 Friday 20 July ..................38 Sponsors and exhibitors..........42 Journal of Comparative Physiology A Posters ......................................43 and Friedrich G. Barth Sponsors Supported by Congress Organiser ICMS Australasia ISB 2017 Conference Secretariat PO Box 3599 South Brisbane QLD 4101 Tel: +61(0) 7 3255 1002 Fax: +61(0) 7 3255 1004 Exhibitors Email: [email protected] 2 Committees Executive Council Program Committee PRESIDENT CHAIR Professor Catharine Rankin Professor Harold Zakon University of British Columbia, Canada University of Texas, USA PRESIDENT-ELECT CHAIR Professor Eric Warrant Professor Karin Nordström Lund University, Sweden Flinders University, Australia PAST PRESIDENT Professor Martin Giurfa Universite Paul Sabatier, France Professor Peter M Narins UCLA, USA Professor Benny Hochner Hebrew -
Australasian Society for the Study of Animal Behaviour
48TH ANNUAL CONFERENCE OF THE AUSTRALASIAN SOCIETY FOR THE STUDY OF ANIMAL BEHAVIOUR ONLINE 28TH SEPTEMBER – 2ND OCTOBER, 2020 OUR SINCERE THANKS FOR JOINING US! From the Organizing Committee. Chair: Geoffrey Hughes (University of New England) Kate Umbers (Western Sydney University) Alex McQueen (Deakin University) Kristal Cain (University of Auckland) Ximena Nelson (University of Canterbury) Caitlyn Forster (University of Sydney) Caitlin Selleck (University of Melbourne) Juliane Gaviraghi Mussoi (University of Auckland) Joe Tomkins (University of Western Australia) Tanya Latty (University of Sydney) Tom White (University of Sydney) i FORWARD Geoffrey Hughes, University of New England ASSAB Outreach Officer & Conference Chair Didn't life seem so much simpler when last we all gathered on Waiheke Island? When things really started to go into lock down in March, and so many conferences were being cancelled or postponed, I had myself a lightbulb moment. As the ASSAB Student Representative at the time, I approached the board with a proposal to have an online, virtual conference. I argued that these annual conferences were hugely important to early career researchers. Apparently I argued a little too well, as the board loved the idea, and suggested I take the lead on it. (I might have started eyeing ticket prices back home to Canada that day). The months that have come since have given me a massive appreciation for all of the hard work that previous conference organizers put in; our team at least didn't need to worry about venues and food! Nonetheless, I wouldn't trade this incredible experience for all of the maple syrup in Canada. -
Integrative and Comparative Biology Integrative and Comparative Biology, Volume 57, Number 5, Pp
Integrative and Comparative Biology Integrative and Comparative Biology, volume 57, number 5, pp. 1104–1116 doi:10.1093/icb/icx096 Society for Integrative and Comparative Biology SYMPOSIUM Moving in Dim Light: Behavioral and Visual Adaptations in Nocturnal Ants Ajay Narendra,1 J. Frances Kamhi and Yuri Ogawa Department of Biological Sciences, Macquarie University, Sydney, New South Wales 2109, Australia From the symposium “Low Spatial Resolution Vision–Function and Evolution” presented at the annual meeting of the Society for Integrative and Comparative Biology, January 4–8, 2017 at New Orleans, Louisiana. 1E-mail: [email protected] Synopsis Visual navigation is a benchmark information processing task that can be used to identify the consequence of being active in dim-light environments. Visual navigational information that animals use during the day includes celestial cues such as the sun or the pattern of polarized skylight and terrestrial cues such as the entire panorama, canopy pattern, or significant salient features in the landscape. At night, some of these navigational cues are either unavailable or are significantly dimmer or less conspicuous than during the day. Even under these circumstances, animals navigate between locations of importance. Ants are a tractable system for studying navigation during day and night because the fine scale movement of individual animals can be recorded in high spatial and temporal detail. Ant species range from being strictly diurnal, crepuscular, and nocturnal. In addition, a number of species have the ability to change from a day- to a night-active lifestyle owing to environmental demands. Ants also offer an opportunity to identify the evolution of sensory structures for discrete temporal niches not only between species but also within a single species. -
Compass Cues Used by a Nocturnal Bull Ant, Myrmecia Midas Cody A
© 2017. Published by The Company of Biologists Ltd | Journal of Experimental Biology (2017) 220, 1578-1585 doi:10.1242/jeb.152967 RESEARCH ARTICLE Compass cues used by a nocturnal bull ant, Myrmecia midas Cody A. Freas*, Ajay Narendra and Ken Cheng ABSTRACT skylight derived from the sun (e.g. Zeil et al., 2014b). The Ants use both terrestrial landmarks and celestial cues to navigate to polarization information is acquired through a specialized dorsal ’ and from their nest location. These cues persist even as light levels region of the ant s eyes (e.g. Zeil et al., 2014b; Narendra et al., drop during the twilight/night. Here, we determined the compass cues 2016b) and is processed via polarization-sensitive optic lobe used by a nocturnal bull ant, Myrmecia midas, in which the majority of neurons (Schmitt et al., 2015). This directional information is individuals begin foraging during the evening twilight period. coupled with distance information, which the ant accumulates as it Myrmecia midas foragers with vectors of ≤5 m when displaced to travels away from the nest. To return home, ants integrate these two unfamiliar locations did not follow the home vector, but instead sources of information and compute the shortest home vector (e.g. showed random heading directions. Foragers with larger home Collett and Collett, 2000; Wehner and Srinivasan, 2003). vectors (≥10 m) oriented towards the fictive nest, indicating a possible These vision-based navigational abilities have been widely increase in cue strength with vector length. When the ants were studied in diurnal ants, which are active when visual cues are easy displaced locally to create a conflict between the home direction to distinguish (Wehner et al., 1996; Fukushi, 2001; Beugnon et al., indicated by the path integrator and terrestrial landmarks, foragers 2005; Cheng et al., 2009; Bühlmann et al., 2011). -
A Model of Attraction and Repulsion in Navigating Insects
bioRxiv preprint doi: https://doi.org/10.1101/2019.12.16.877449; this version posted December 16, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Opponent processes in visual memories: a model of attraction and repulsion 2 in navigating insects’ mushroom bodies. 3 4 5 Florent Le Möel1, Antoine Wystrach1* 6 7 8 1Research Centre on Animal Cognition, University Paul Sabatier/CNRS, Toulouse, France 9 10 11 Corresponding author: 12 E-mail: [email protected] 13 14 15 16 Key words: Visual navigation, insects, opponent processes, attractive and repulsive memories, 17 mushroom bodies, homing, route following 18 bioRxiv preprint doi: https://doi.org/10.1101/2019.12.16.877449; this version posted December 16, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 19 Abstract 20 Solitary foraging insects display stunning navigational behaviours in visually complex natural 21 environments. Current literature assumes that these insects are mostly driven by attractive 22 visual memories, which are learnt when the insect’s gaze is precisely oriented toward the goal 23 direction, typically along its familiar route or towards its nest. That way, an insect could return 24 home by simply moving in the direction that appears most familiar. -
A Preliminary Examination with Australian Ants
Behavioral Ecology and Sociobiology (2018) 72: 113 https://doi.org/10.1007/s00265-018-2527-1 ORIGINAL ARTICLE Distinguishing between apparent and actual randomness: a preliminary examination with Australian ants Mst Jannatul Ferdous 1 & Andy M. Reynolds2 & Ken Cheng1 Received: 13 January 2018 /Revised: 22 May 2018 /Accepted: 8 June 2018 /Published online: 20 June 2018 # The Author(s) 2018 Abstract The correlated random walk paradigm is the dominant conceptual framework for modeling animal movement patterns. Nonetheless, we do not know whether the randomness is apparent or actual. Apparent randomness could result from individuals reacting to environmental cues and their internal states in accordance with some set of behavioral rules. Here, we show how apparent randomness can result from one simple kind of algorithmic response to environmental cues. This results in an exponential step-length distribution in homogeneous environments and in generalized stretched exponential step-length distributions in more complex fractal environments. We find support for these predictions in the movement patterns of the Australian bull ant Myrmecia midas searching on natural surfaces and on artificial uniform and quasi-fractal surfaces. The bull ants spread their search significantly farther on the quasi-fractal surface than on the uniform surface, showing that search characteristics differed as a function of the substrate on which ants are searching. Further tentative support comes from a re-analysis of Australian desert ants Melophorus bagoti moving on smoothed-over sand and on a more strongly textured surface. Our findings call for more experimental studies on different surfaces to test the surprising predicted linkage between fractal dimension and the exponent in the step-length distribution. -
Spatial Cognition in the Context of Foraging Styles and Information Transfer in Ants
Animal Cognition https://doi.org/10.1007/s10071-020-01423-x REVIEW Spatial cognition in the context of foraging styles and information transfer in ants Zhanna Reznikova1,2 Received: 4 December 2019 / Revised: 13 May 2020 / Accepted: 13 August 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020 Abstract Ants are central-place foragers: they always return to the nest, and this requires the ability to remember relationships between features of the environment, or an individual’s path through the landscape. The distribution of these cognitive responsibilities within a colony depends on a species’ foraging style. Solitary foraging as well as leader-scouting, which is based on informa- tion transmission about a distant targets from scouts to foragers, can be considered the most challenging tasks in the context of ants’ spatial cognition. Solitary foraging is found in species of almost all subfamilies of ants, whereas leader-scouting has been discovered as yet only in the Formica rufa group of species (red wood ants). Solitary foraging and leader-scouting ant species, although enormously diferent in their levels of sociality and ecological specifcities, have many common traits of individual cognitive navigation, such as the primary use of visual navigation, excellent visual landmark memories, and the subordinate role of odour orientation. In leader-scouting species, spatial cognition and the ability to transfer information about a distant target dramatically difer among scouts and foragers, suggesting individual cognitive specialization. I suggest that the leader-scouting style of recruitment is closely connected with the ecological niche of a defned group of species, in particular, their searching patterns within the tree crown.