Building genetic networks using relatedness information: a novel approach for the estimation of dispersal and characterization of group structure in social animals

Building genetic networks using relatedness information: a novel approach for the estimation of dispersal and characterization of group structure in social animals

Source :

• Molecular Ecology [ 0962-1083 ] ; 2012-04.

Descripteurs français

• Wicri :
  • topic : écologie, Génétique, Dynamique de la population, Structure sociale, Logiciel.

English descriptors

• KwdEn :
  • Allele, Autocorrelation, Babbler, Behavioral ecology, Behavioural, Behavioural data, Behavioural ecology, Biological sciences, Blackwell publishing, Breeder, Cambridge university press, Candidate dispersers, Conservation biology, Cooperative breeders, Differential mortality, Direct estimates, Dispersal, Dispersal behaviour, Dispersal coalitions, Dispersal distance, Dispersal distances, Dispersal estimates, Dispersal events, Dispersal patterns, Dispersal rates, Disperser, Dispersers, Distance class, Distance classes, Dyad, Ecology, Ecology evolution, Estimate dispersal rates, Estimator, Extrasite dispersers, Family groups, Family members, Female dispersers, Focal groups, Focal year, Further analyses, Genetic, Genetic data, Genetic estimates, Genetic method, Genetic network, Genetic network analyses, Genetic network analysis, Genetic network approach, Genetic networks, Genetic outliers, Genetic relationships, Genetic signature, Genetic structure, Genetical research, Genetics, Genuine dispersers, Group composition, Group members, High degree, Individual dispersers, Individual level, Koenig, Large number, Large numbers, Life history, Line thickness, Line thickness bins, Locus, Many years, Mating systems, Microsatellite loci, Molecular data, Molecular ecology, Molecular markers, Multiple relationships, Multiple years, Natal, Natal dispersal, Natal group, Natal territory, National academy, Natural populations, Network analysis, Nonbreeding adults, Novel approach, Null hypothesis, Observational data, Other individuals, Other studies, Pairwise, Pairwise relatedness, Peakall, Pedigree, Pedigree data, Pedigree information, Permutation test, Population allele frequency data, Population dynamics, Population structure, Possible dyads, Postdispersal individuals, Potential dispersers, Previous years, Putative disperser, Putative dispersers, Reconstructed pedigrees, Relatedness, Relatedness values, Royal society, Sample sizes, Sampling area, Second year, Sibling dispersal coalition, Single population, Single population sample, Single year, Social animals, Social group, Social groups, Social networking software, Social structure, Social systems, Software, Spatial autocorrelation, Spatial autocorrelation analyses, Spatial autocorrelation analysis, Stacey koenig, Study area, Study population, Study site, Study site dispersers, Subarea, Subarea boundaries, Subarea network, Subarea networks, Subsequent year, Subsequent years, Thickest lines, Thinnest lines, Threshold value, Understanding dispersal, Unrelated individuals, Wang.
• Teeft :
  • Allele, Autocorrelation, Babbler, Behavioral ecology, Behavioural, Behavioural data, Behavioural ecology, Biological sciences, Blackwell publishing, Breeder, Cambridge university press, Candidate dispersers, Conservation biology, Cooperative breeders, Differential mortality, Direct estimates, Dispersal, Dispersal behaviour, Dispersal coalitions, Dispersal distance, Dispersal distances, Dispersal estimates, Dispersal events, Dispersal patterns, Dispersal rates, Disperser, Dispersers, Distance class, Distance classes, Dyad, Ecology, Ecology evolution, Estimate dispersal rates, Estimator, Extrasite dispersers, Family groups, Family members, Female dispersers, Focal groups, Focal year, Further analyses, Genetic, Genetic data, Genetic estimates, Genetic method, Genetic network, Genetic network analyses, Genetic network analysis, Genetic network approach, Genetic networks, Genetic outliers, Genetic relationships, Genetic signature, Genetic structure, Genetical research, Genetics, Genuine dispersers, Group composition, Group members, High degree, Individual dispersers, Individual level, Koenig, Large number, Large numbers, Life history, Line thickness, Line thickness bins, Locus, Many years, Mating systems, Microsatellite loci, Molecular data, Molecular ecology, Molecular markers, Multiple relationships, Multiple years, Natal, Natal dispersal, Natal group, Natal territory, National academy, Natural populations, Network analysis, Nonbreeding adults, Novel approach, Null hypothesis, Observational data, Other individuals, Other studies, Pairwise, Pairwise relatedness, Peakall, Pedigree, Pedigree data, Pedigree information, Permutation test, Population allele frequency data, Population dynamics, Population structure, Possible dyads, Postdispersal individuals, Potential dispersers, Previous years, Putative disperser, Putative dispersers, Reconstructed pedigrees, Relatedness, Relatedness values, Royal society, Sample sizes, Sampling area, Second year, Sibling dispersal coalition, Single population, Single population sample, Single year, Social animals, Social group, Social groups, Social networking software, Social structure, Social systems, Software, Spatial autocorrelation, Spatial autocorrelation analyses, Spatial autocorrelation analysis, Stacey koenig, Study area, Study population, Study site, Study site dispersers, Subarea, Subarea boundaries, Subarea network, Subarea networks, Subsequent year, Subsequent years, Thickest lines, Thinnest lines, Threshold value, Understanding dispersal, Unrelated individuals, Wang.

Abstract

• https://api.istex.fr/document/1B3FC06F903EAD5394D253BA83B13B93F1A9004E/fulltext/pdf

Affiliations:

• Australie, France, Royaume-Uni
• Angleterre, Angleterre de l'Est, Midi-Pyrénées, Occitanie (région administrative)
• Cambridge
• Université de Cambridge

Links toward previous steps (curation, corpus...)

• to stream Istex, to step Corpus: 000515
• to stream Istex, to step Curation: 000515
• to stream Istex, to step Checkpoint: 000642
• to stream Main, to step Merge: 005984
• to stream Main, to step Curation: 005717

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