scholarly journals More on the genetical theory of multilevel selection

2015 ◽  
Vol 28 (9) ◽  
pp. 1747-1751 ◽  
Author(s):  
A. Gardner
Keyword(s):  
Multilevel Selection ◽  
Genetical Theory

Multilevel selection on offspring size and the maintenance of variation

2020 ◽  
Author(s):  
Hayley Cameron ◽  
Darren W. Johnson ◽  
Keyne Monro ◽  
Dustin J. Marshall
Keyword(s):  
Multilevel Selection ◽  
Offspring Size

Delayed life history effects, multilevel selection, and evolutionary trade-offs in the California tiger salamander

Ecology ◽  
2014 ◽  
Vol 95 (1) ◽  
pp. 68-77 ◽  
Author(s):  
Christopher A. Searcy ◽  
Levi N. Gray ◽  
Peter C. Trenham ◽  
H. Bradley Shaffer
Keyword(s):  
Life History ◽  
Multilevel Selection ◽  
Tiger Salamander ◽  
History Effects ◽  
Trade Offs

An Intellectual History of Multilevel Selection from Darwin to Dawkins

2020 ◽  
pp. 1-40
Author(s):  
Aurelio José Figueredo ◽  
Steven C. Hertler ◽  
Mateo Peñaherrera-Aguirre
Keyword(s):  
Intellectual History ◽  
Multilevel Selection ◽  
History Of

scholarly journals Kin and group selection are both flawed but useful data analysis tools

2019 ◽  
Author(s):  
jeff smith ◽  
R. Fredrik Inglis
Keyword(s):  
Empirical Research ◽  
Social Evolution ◽  
Multilevel Selection ◽  
Selection Theory ◽  
Fitness Effects ◽  
Data Driven Approach ◽  
Biological Interpretation ◽  
Multilevel Selection Theory ◽  
Microbial Systems ◽  
Analytical Tools

AbstractFor understanding the evolution of social behavior in microbes, mathematical theory can aid empirical research but is often only used as a qualitative heuristic. How to properly formulate social evolution theory has also been contentious. Here we evaluate kin and multilevel selection theory as tools for analyzing microbial data. We reanalyze published datasets that share a common experimental design and evaluate these theories in terms of data visualization, statistical performance, biological interpretation, and quantitative comparison across systems. We find that the canonical formulations of both kin and multilevel selection are almost always poor analytical tools because they use statistical regressions that are poorly specified for the strong selection and nonadditive fitness effects common in microbial systems. Analyzing both individual and group fitness outcomes helps clarify the biology of selection. We also identify analytical practices in empirical research that suggest how theory might better handle the challenges of microbial data. A quantitative, data-driven approach thus shows how kin and multilevel selection theory both have substantial room for improvement as tools for understanding social evolution in all branches of life.

Multilevel selection, cooperation, and altruism

Human Nature ◽  
1999 ◽  
Vol 10 (3) ◽  
pp. 311-327 ◽  
Author(s):  
Barbara Smuts
Keyword(s):  
Multilevel Selection ◽  
Selection Cooperation

Recirculation of germinal center B cells: a multilevel selection strategy for antibody maturation

2007 ◽  
Vol 216 (1) ◽  
pp. 130-141 ◽  
Author(s):  
Michal Or-Guil ◽  
Nicole Wittenbrink ◽  
Armin A. Weiser ◽  
Johannes Schuchhardt
Keyword(s):  
B Cells ◽  
Germinal Center ◽  
Multilevel Selection ◽  
Selection Strategy ◽  
Antibody Maturation ◽  
Germinal Center B Cells
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