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dictyNews

Electronic Edition

Volume 47, number 16

August 6, 2021



Please submit abstracts of your papers as soon as they have been

accepted for publication by sending them to [log in to unmask]

or by using the form at

http://dictybase.org/db/cgi-bin/dictyBase/abstract_submit.



Back issues of dictyNews, the Dicty Reference database and other

useful information is available at dictyBase - http://dictybase.org.



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=========

Abstracts

=========





Hypoxia triggers collective aerotactic migration in Dictyostelium 

discoideum



O. Cochet-Escartin, M. Demircigil, S. Hirose, B. Allais, P. Gonzalo, 

I. Mikaelian, K. Funamoto, C. Anjard, V. Calvez, J.-P. Rieu





eLife, accepted



Using a self-generated hypoxic assay, we show that the amoeba 

Dictyostelium discoideum displays a remarkable collective aerotactic 

behavior. When a cell colony is covered, cells quickly consume the 

available oxygen (O2) and form a dense ring moving outwards at 

constant speed and density. To decipher this collective process, we 

combined two technological developments: porphyrin-based O2 

sensing films and microfluidic O2 gradient generators. We showed 

that Dictyostelium cells exhibit aerotactic and aerokinetic response in 

a low range of O2 concentration indicative of a very efficient 

detection mechanism. Cell behaviors under self-generated or imposed 

O2 gradients were modeled using an in silico cellular Potts model 

built on experimental observations. This computational model was 

complemented with a parsimonious ‘Go or Grow’ partial differential 

equation (PDE) model. In both models, we found that the collective 

migration of a dense ring can be explained by the interplay between 

cell division and the modulation of aerotaxis.





submitted by: Christophe Anjard [[log in to unmask]]

———————————————————————————————————





Dictyostelium discoideum: an alternative non-animal model for 

developmental toxicity testing



Robert P. Baines1, Kathryn Wolton2, Christopher R. L. Thompson1*



1 Centre for Life's Origins and Evolution, Department of Genetics, 

Evolution and Environment, University College London, Darwin 

Building, Gower Street, London, WC1E 6BT, UK

2 Syngenta, Jealott’s Hill International Research Centre, Bracknell, 

Berkshire, RG42 6EY



* Corresponding author





Toxicological Sciences, in press



A critical aspect of toxicity evaluation is developmental and 

reproductive toxicity (DART) testing. Traditionally, DART testing 

has been conducted in vivo in mammalian model systems. New 

legislation aimed at reducing animal use and the prohibitive costs 

associated with DART testing, together with a need to understand 

the genetic pathways underlying developmental toxicity means there 

is a growing demand for alternative model systems for toxicity 

evaluation. Here we explore the potential of the eukaryotic social 

amoeba Dictyostelium discoideum, which is already widely used as 

a simple model system for cell and developmental biology, as a 

potential non-animal model for DART testing. We developed assays 

for high-throughput screening of toxicity during D. discoideum 

growth and development. This allowed the toxicity of a broad range 

of test compounds to be characterized, which revealed that 

D. discoideum can broadly predict mammalian toxicity. In addition, 

we show that this system can be used to perform functional genomic 

screens to compare the molecular modes of action of different 

compounds. For example, genome wide screens for mutations that 

affect lithium and valproic acid (VPA) toxicity allowed common and 

unique biological targets and molecular processes mediating their 

toxicity to be identified. These studies illustrate that 

D. discoideum could represent a predictive non-animal model for 

DART testing due to its amenability to high throughput approaches 

and molecular genetic tractability. 





submitted by: Chris Thompson [[log in to unmask]]

———————————————————————————————————







Mutant resources for functional genomics in Dictyostelium 

discoideum using REMI-seq technology



Nicole Gruenheit1*, Amy Baldwin2*, Balint Stewart1*, Sarah Jaques2, 

Thomas Keller3, Katie Parkinson3, William Salvidge1, Robert Baines1, 

Chris Brimson1, Jason B. Wolf4, Rex Chisholm5, Adrian J. Harwood2† 

and Christopher R. L. Thompson1†



1 Centre for Life’s Origins and Evolution, Department of Genetics, 

Evolution and Environment, University College London, Darwin 

Building, Gower Street, London, WC1E 6BT, UK

2 Cardiff School of Biosciences, Hadyn Ellis Building, Maindy Road, 

Cardiff University, Cardiff, UK, CF24 4HQ

3 Division of Developmental Biology and Medicine, Faculty of Biology, 

Medicine and Health, The University of Manchester, Michael Smith 

Building, Oxford Road, Manchester, M13 9PT, UK

4 Milner Centre for Evolution and Department of Biology and 

Biochemistry, University of Bath, Claverton Down, 

Bath, BA2 7AY, UK 

5 Feinberg School of Medicine, Northwestern University, Chicago, 

Illinois, USA, 60611



* These authors contributed equally to this work

† Authors for correspondence ([log in to unmask], 

[log in to unmask],)





BMC Biology, in press



Background

Genomes can be sequenced with relative ease, but ascribing gene 

function remains a major challenge. Genetically tractable model 

systems are crucial to meet this challenge. One powerful model is 

the social amoeba Dictyostelium discoideum, a eukaryotic microbe 

widely used to study diverse questions in cell, developmental and 

evolutionary biology. 



Results

We describe REMI-seq, an adaptation of Tn-seq, which allows high 

throughput, en masse and quantitative identification of the genomic 

site of insertion of a drug resistance marker after restriction 

enzyme mediated integration. We use REMI-seq to develop tools 

which greatly enhance the efficiency with which the sequence, 

transcriptome or proteome variation can be linked to phenotype in 

D. discoideum. These comprise (1) a near genome-wide resource of 

individual mutants (2) a defined pool of ‘barcoded’ mutants to 

allow large-scale parallel phenotypic analyses. These resources are 

freely available and easily accessible through the REMI-seq website 

that also provides comprehensive guidance and pipelines for data 

analysis. We demonstrate that integrating these resources allows 

novel regulators of cell migration, phagocytosis and 

macropinocytosis to be rapidly identified.



Conclusions

We present methods and resources, generated using REMI-seq, for 

high throughput gene function analysis in a key model system.





submitted by: Chris Thompson [[log in to unmask]]

=======================================================

[End dictyNews, volume 47, number 16]




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