Results 31 to 40 of about 1,157 (151)

The Physarum polycephalum genome reveals extensive use of prokaryotic two-component and metazoan-type tyrosine kinase signaling [PDF]

, 2015
Physarum polycephalum is a well-studied microbial eukaryote with unique experimental attributes relative to other experimental model organisms. It has a sophisticated life cycle with several distinct stages including amoebal, flagellated, and plasmodial
et al,, Fronick, Catrina, Fulton, Lucinda, Minx, Pat, Tomlinson, Chad, Warren, Wesley C, Wilson, Richard K   +6 more
core   +9 more sources

Genetic structure of two protist species (Myxogastria, Amoebozoa) suggests asexual reproduction in sexual Amoebae.

PLoS ONE, 2011
Plasmodial slime molds (Myxogastria or Myxomycetes) are common and widespread unicellular organisms that are commonly assumed to have a sexual life cycle culminating with the formation of often macroscopic fruiting bodies that efficiently disseminate ...
Anna Maria Fiore-Donno, Yuri K Novozhilov, Marianne Meyer, Martin Schnittler   +3 more
doaj   +1 more source

An active poroelastic model for mechanochemical patterns in protoplasmic droplets of Physarum polycephalum [PDF]

, 2013
Motivated by recent experimental studies, we derive and analyze a twodimensional model for the contraction patterns observed in protoplasmic droplets of Physarum polycephalum.
Bär, Markus, Engel, Harald, Radszuweit, Markus   +2 more
core   +5 more sources

Revisions to the Classification, Nomenclature, and Diversity of Eukaryotes

Journal of Eukaryotic Microbiology, Volume 66, Issue 1, Page 4-119, January/February 2019., 2019
Abstract This revision of the classification of eukaryotes follows that of Adl et al., 2012 [J. Euk. Microbiol. 59(5)] and retains an emphasis on protists. Changes since have improved the resolution of many nodes in phylogenetic analyses. For some clades even families are being clearly resolved.
Sina M. Adl, David Bass, Christopher E. Lane, Julius Lukeš, Conrad L. Schoch, Alexey Smirnov, Sabine Agatha, Cedric Berney, Matthew W. Brown, Fabien Burki, Paco Cárdenas, Ivan Čepička, Lyudmila Chistyakova, Javier del Campo, Micah Dunthorn, Bente Edvardsen, Yana Eglit, Laure Guillou, Vladimír Hampl, Aaron A. Heiss, Mona Hoppenrath, Timothy Y. James, Anna Karnkowska, Sergey Karpov, Eunsoo Kim, Martin Kolisko, Alexander Kudryavtsev, Daniel J.G. Lahr, Enrique Lara, Line Le Gall, Denis H. Lynn, David G. Mann, Ramon Massana, Edward A.D. Mitchell, Christine Morrow, Jong Soo Park, Jan W. Pawlowski, Martha J. Powell, Daniel J. Richter, Sonja Rueckert, Lora Shadwick, Satoshi Shimano, Frederick W. Spiegel, Guifré Torruella, Noha Youssef, Vasily Zlatogursky, Qianqian Zhang   +46 more
wiley   +1 more source

A Bio‐Inspired Method for the Constrained Shortest Path Problem

The Scientific World Journal, Volume 2014, Issue 1, 2014., 2014
The constrained shortest path (CSP) problem has been widely used in transportation optimization, crew scheduling, network routing and so on. It is an open issue since it is a NP‐hard problem. In this paper, we propose an innovative method which is based on the internal mechanism of the adaptive amoeba algorithm.
Hongping Wang, Xi Lu, Xiaoge Zhang, Qing Wang, Yong Deng, Wen-Chiung Lee   +5 more
wiley   +1 more source

An Improved Physarum polycephalum Algorithm for the Shortest Path Problem

The Scientific World Journal, Volume 2014, Issue 1, 2014., 2014
Shortest path is among classical problems of computer science. The problems are solved by hundreds of algorithms, silicon computing architectures and novel substrate, unconventional, computing devices. Acellular slime mould P. polycephalum is originally famous as a computing biological substrate due to its alleged ability to approximate shortest path ...
Xiaoge Zhang, Qing Wang, Andrew Adamatzky, Felix T. S. Chan, Sankaran Mahadevan, Yong Deng, Nirupam Chakraborti   +6 more
wiley   +1 more source

Fluid flows shaping organism morphology

, 2018
A dynamic self-organized morphology is the hallmark of network-shaped organisms like slime moulds and fungi. Organisms continuously re-organize their flexible, undifferentiated body plans to forage for food. Among these organisms the slime mould Physarum
Alim, Karen
core   +1 more source

P‐bRS: A Physarum‐Based Routing Scheme for Wireless Sensor Networks

The Scientific World Journal, Volume 2014, Issue 1, 2014., 2014
Routing in wireless sensor networks (WSNs) is an extremely challenging issue due to the features of WSNs. Inspired by the large and single‐celled amoeboid organism, slime mold Physarum polycephalum, we establish a novel selecting next hop model (SNH).
Mingchuan Zhang, Wangyang Wei, Ruijuan Zheng, Qingtao Wu, Y. Lu, J. Shu, F. Yu   +6 more
wiley   +1 more source

Towards Physarum Engines

Applied Bionics and Biomechanics, Volume 9, Issue 3, Page 221-240, 2012., 2012
The slime mould Physarumpolycephalum is a suitable candidate organism for soft‐matter robotics because it exhibits controllable transport, movement and guidance behaviour. Physarum may be considered as a smart computing and actuating material since both its motor and control systems are distributed within its undifferentiated tissue and can survive ...
Soichiro Tsuda, Jeff Jones, Andrew Adamatzky   +2 more
wiley   +1 more source

Stochastic cycle selection in active flow networks [PDF]

, 2018
Active biological flow networks pervade nature and span a wide range of scales, from arterial blood vessels and bronchial mucus transport in humans to bacterial flow through porous media or plasmodial shuttle streaming in slime molds.
Dunkel, Joern, Fawcett, Joanna B., Forrow, Aden, Woodhouse, Francis G.   +3 more
core   +1 more source