bibtype	J - Journal Article
ARLID	0507611
utime	20241106135742.2
mtime	20190815235959.9
SCOPUS	85072131928
WOS	000485137700024
DOI	10.1093/biolinnean/blz041
title (primary) (eng)	Non-particulate inheritance revisited: evolution in systems with Parental Variability-Dependent Inheritance
specification	page_count 17 s. media_type P
serial	ARLID cav_un_epca*0256253 ISSN 0024-4066 title Biological Journal of the Linnean Society volume_id 127 volume 2 (2019) page_num 518-533 publisher name Oxford University Press
keyword	blending inheritance
keyword	computer simulations
keyword	cultural evolution
keyword	Galton–Pearson model
keyword	swamping argument
author (primary)	ARLID cav_un_auth*0378783 name1 Tureček name2 P. country CZ garant K
author	ARLID cav_un_auth*0370372 name1 Slavík name2 Jakub institution UTIA-B full_dept (cz) Stochastická informatika full_dept Department of Stochastic Informatics department (cz) SI department SI full_dept Department of Stochastic Informatics fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author	ARLID cav_un_auth*0289107 name1 Kozák name2 M. country CZ
author	ARLID cav_un_auth*0017035 name1 Havlíček name2 J. country CZ
source	url http://library.utia.cas.cz/separaty/2019/SI/slavik-0507611.pdf
source	url https://academic.oup.com/biolinnean/article-abstract/127/2/518/5475672
cas_special	abstract (eng) In non-genetic systems, such as culture, inheritance is often non-particulate. Owing to blending and consequent loss of variability, however, selection in such systems has been considered ineffective. The issue of loss of variability was solved by the Galton–Pearson model, which assumes a constant offspring variability and predicts gradual adaptation regardless of model parameters. The supposition of constant offspring variability is, however, arbitrary, and it is rather unrealistic in the context of social learning, because variability of inputs may affect the resulting trait acquisition. We present an alternative non-particulate inheritance model, ‘Parental Variability-Dependent Inheritance’, in which offspring variability is proportional to parental variability. Results of computer simulations show that despite its simplicity, this model can, even from the same initial conditions, result in one of two stable states: successful adaptation or loss of variability. Successful adaptation is more probable in larger populations with a larger relative offspring variability and an intermediate level of selection. A third possible outcome is an unstable, chaotic increase in variability, which takes place when relative offspring variability is too large to be trimmed by selection. Without any additional assumptions, this inheritance system results in punctuated evolution. result_subspec WOS RIV IN FORD0 10000 FORD1 10600 FORD2 10602 reportyear 2020 num_of_auth 4 mrcbC52 4 A sml 4as 20241106135742.2 inst_support RVO:67985556 permalink http://hdl.handle.net/11104/0298606 cooperation ARLID cav_un_auth*0378789 name Czech Technical University, Faculty of Nuclear Sciences and Physical Engineering, Department of Mathematics institution FJFI country CZ cooperation ARLID cav_un_auth*0378790 name Charles University in Prague, Faculty of Science, Department of Philosophy and History of Science institution CUNI country CZ cooperation ARLID cav_un_auth*0378791 name Charles University in Prague, Faculty of Science, Department of Zoology institution CUNI country CZ confidential S contract name Assignment of Copyright date 20190308 note Copyright form mrcbC86 3+4 Article Evolutionary Biology mrcbC91 C mrcbT16-e EVOLUTIONARYBIOLOGY mrcbT16-j 0.796 mrcbT16-s 1.149 mrcbT16-B 14.104 mrcbT16-D Q4 mrcbT16-E Q4 arlyear 2019 mrcbTft \nSoubory v repozitáři: slavik-0507611-licence.pdf mrcbU14 85072131928 SCOPUS mrcbU24 PUBMED mrcbU34 000485137700024 WOS mrcbU63 cav_un_epca*0256253 Biological Journal of the Linnean Society 0024-4066 1095-8312 Roč. 127 č. 2 2019 518 533 Oxford University Press