2013
DOI: 10.1098/rsfs.2013.0054
|View full text |Cite
|
Sign up to set email alerts
|

Modelling biological evolution: recent progress, current challenges and future direction

Abstract: Mathematical modelling is widely recognized as a powerful and convenient theoretical tool for investigating various aspects of biological evolution and explaining the existing genetic complexity of the real world. It is increasingly apparent that understanding the key mechanisms involved in the processes of species biodiversity, natural selection and inheritance, patterns of animal behaviour and coevolution of species in complex ecological systems is simply impossible by means of laboratory experiments and fie… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2014
2014
2020
2020

Publication Types

Select...
3
1

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 28 publications
0
2
0
Order By: Relevance
“…We develop a modeling approach to explore the effects of disease and introgression in a two-species system. In the two-time-scales model, the evolutionary and ecological times scales are separated (see [103][104][105][106][107] for other such models). On the ecological time scale, the spread of diseases is modeled, and on the evolutionary time scale, the species' response to disease burden and the effects of introgression are modeled (Fig.…”
Section: Methodsmentioning
confidence: 99%
“…We develop a modeling approach to explore the effects of disease and introgression in a two-species system. In the two-time-scales model, the evolutionary and ecological times scales are separated (see [103][104][105][106][107] for other such models). On the ecological time scale, the spread of diseases is modeled, and on the evolutionary time scale, the species' response to disease burden and the effects of introgression are modeled (Fig.…”
Section: Methodsmentioning
confidence: 99%
“…Interactions between variables are often overlooked, and it is assumed that it is impossible to incorporate all existing variables and their interactions in in vitro experiments or in silico models (Morozov, 2013). At an evolutionary timescale, which differs depending on the organism's generation time, it is not possible to predict environmental variations with certitude, and hence the traits that organisms will develop to adequately respond to these changes.…”
Section: Environmental Parametersmentioning
confidence: 99%