Hierarchically embedded interaction networks represent a missing link in the study of behavioral and community ecology

Autor: Pierre-Olivier Montiglio, Claudius F. Kratochwil, Kiyoko M. Gotanda, Damien R. Farine, Kate L. Laskowski
Přispěvatelé: Simmons, Leigh, Integrative Evolutionary Biology, Montiglio, PO [0000-0001-5602-259X], Kratochwil, CF [0000-0002-5646-3114], Laskowski, KL [0000-0003-1523-9340], Farine, DR [0000-0003-2208-7613], Apollo - University of Cambridge Repository
Rok vydání: 2020
Předmět:
DYNAMICS
0106 biological sciences
PARASITES
GENETICS
biological interactions
multilayer networks
PHENOTYPES
Biology
Behavioral Science & Comparative Psychology
010603 evolutionary biology
01 natural sciences
03 medical and health sciences
ddc:570
eco-evolutionary processes
Link (knot theory)
ARMOR
Ecology
Evolution
Behavior and Systematics
Evolutionary theory
Invited Ideas
030304 developmental biology
Structure (mathematical logic)
0303 health sciences
Evolutionary Biology
Community
Ecology
AcademicSubjects/SCI01330
gene-phenotype interactions
STICKLEBACKS
Data science
EVOLUTION
gene–phenotype interactions
Ecological network
nested networks
MULTILEVEL SELECTION
1181 Ecology
evolutionary biology
Key (cryptography)
ECOSYSTEM
Animal Science and Zoology
biological interactions
eco-evolutionary processes
gene–phenotype interactions
multilayer networks
nested networks
FOOD-WEB
Zoology
Zdroj: Behavioral ecology : official journal of the International Society for Behavioral Ecology, vol 31, iss 2
Behavioral Ecology
Popis: Because genes and phenotypes are embedded within individuals, and individuals within populations, interactions within one level of biological organization are inherently linked to interactors at others. Here, we expand the network paradigm to consider that nodes can be embedded within other nodes, and connections (edges) between nodes at one level of organization form “bridges” for connections between nodes embedded within them. Such hierarchically embedded networks highlight two central properties of biological systems: 1) processes occurring across multiple levels of organization shape connections among biological units at any given level of organization and 2) ecological effects occurring at a given level of organization can propagate up or down to additional levels. Explicitly considering the embedded structure of evolutionary and ecological networks can capture otherwise hidden feedbacks and generate new insights into key biological phenomena, ultimately promoting a broader understanding of interactions in evolutionary theory.
Interactions are ubiquitous across biological systems. Modeling their consequences requires capturing how units are organized across biological scales: gene and protein interactions shape phenotypic traits within individuals, individuals are embedded within populations, populations within communities, and communities within ecosystems. Doing so reveals how indirect connections among units arise from the structure of connections at higher or lower levels of organization, and how effects at one level of the network propagate across neighboring levels.
Databáze: OpenAIRE
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