Science News
from research organizations

What makes individuals nasty or nice? Mathematical model explains

Date:
June 24, 2016
Source:
University of Exeter
Summary:
A scientist has helped develop an innovative mathematical model for exploring why some individuals evolve to be genetically programmed to be nice, while others stay nasty.
Share:
FULL STORY

A University of Exeter scientist has helped develop an innovative mathematical model for exploring why some individuals evolve to be genetically programmed to be nice, while others stay nasty. (Stock image)
Credit: © Halfpoint / Fotolia

A University of Exeter scientist has helped develop an innovative mathematical model for exploring why some individuals evolve to be genetically programmed to be nice, while others stay nasty.

Dr Sasha Dall, Senior Lecturer in Mathematical Ecology, and a team of international colleagues have designed a new mathematical framework for examining social behaviour in a range of different species that will help advance our understanding of the evolution of sociality.

The theory of kin selection has for some time allowed biologists to explain why some animals and other organisms adopt altruistic behaviour, at their own expense, for the benefit of their relatives- worker bees laying down their lives to promote the welfare of their mother, the Queen, for example. But up until now scientists have not been able to explain the role of genetic polymorphism, or why some individuals appear to be genetically programmed to help others whilst living side-by-side with others who tend to exploit their generosity.

Using colony-living microbes as inspiration to explore why some individuals are by nature generous and others less so, the researchers produced an innovative model of social evolution that allows them to understand how far this is likely to be influenced by conditioning or the surrounding environment.

They found that the behaviour of individuals can often evolve to be determined by a set of inherited genetic tendencies that accurately predict social relationships, including their likely relatedness to other members of their community, and their surroundings rather than in direct response to what they sense or experience.

Dr Dall, a co-author on the paper, which is published in the journal PLOS Computational Biology, said: "As humans our behaviours are flexible and we base what we are meant to do on what we see after processing information about our world. However, some species rely on inherited instructions on what to do -- individuals behave differently according to which specific genetic variants they are born with. What we have been able to show is how you can get a situation where you end up with distinct levels of genetically determined niceness coexisting within populations."

Lead author on the paper Professor Olof Leimar, of Stockholm University, said: "Social evolution theory hasn't previously addressed genetic polymorphism. We have developed a model that allows us to explore this within a general framework alongside other behavioural influences. Our hope and aim is to do further work in this area to test our model experimentally."


Story Source:

Materials provided by University of Exeter. Note: Content may be edited for style and length.


Journal Reference:

  1. Olof Leimar, Sasha R. X. Dall, Peter Hammerstein, John M. McNamara. Genes as Cues of Relatedness and Social Evolution in Heterogeneous Environments. PLOS Computational Biology, 2016; 12 (6): e1005006 DOI: 10.1371/journal.pcbi.1005006

Cite This Page:

University of Exeter. "What makes individuals nasty or nice? Mathematical model explains." ScienceDaily. ScienceDaily, 24 June 2016. <www.sciencedaily.com/releases/2016/06/160624154706.htm>.
University of Exeter. (2016, June 24). What makes individuals nasty or nice? Mathematical model explains. ScienceDaily. Retrieved May 24, 2017 from www.sciencedaily.com/releases/2016/06/160624154706.htm
University of Exeter. "What makes individuals nasty or nice? Mathematical model explains." ScienceDaily. www.sciencedaily.com/releases/2016/06/160624154706.htm (accessed May 24, 2017).

RELATED STORIES