Literature DB >> 21227865

Kin recognition in social bees.

R E Page1, M D Breed.   

Abstract

Kin recognition in social insects has become a central issue in sociobiology because studies of the recognition abilities of social insects provide a test of kin selection theory. W.D. Hamilton(1) formalized kin selection theory by showing how individuals can gain fitness by increasing the reproductive output of relatives (kin). The social interactions of individuals, or groups, should be influenced by the genetic structure of the population. The ability to recognize kin can increase the adaptive value of social behavior by modulating it according to genetic relationship. From this, the specific prediction emerges: if individuals can distinguish among others with which they interact on the basis of the degree to which they are related, then behavior should be biased preferentially toward more closely related reproductive individuals.
Copyright © 1987. Published by Elsevier Ltd.

Entities:  

Year:  1987        PMID: 21227865     DOI: 10.1016/0169-5347(87)90034-6

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  2 in total

1.  Extractable hydrocarbons and kin recognition in honeybee (Apis mellifera L.).

Authors:  R E Page; R A Metcalf; R L Metcalf; E H Erickson; R L Lampman
Journal:  J Chem Ecol       Date:  1991-04       Impact factor: 2.626

2.  Genus-Wide Characterization of Bumblebee Genomes Provides Insights into Their Evolution and Variation in Ecological and Behavioral Traits.

Authors:  Cheng Sun; Jiaxing Huang; Yun Wang; Xiaomeng Zhao; Long Su; Gregg W C Thomas; Mengya Zhao; Xingtan Zhang; Irwin Jungreis; Manolis Kellis; Saverio Vicario; Igor V Sharakhov; Semen M Bondarenko; Martin Hasselmann; Chang N Kim; Benedict Paten; Luca Penso-Dolfin; Li Wang; Yuxiao Chang; Qiang Gao; Ling Ma; Lina Ma; Zhang Zhang; Hongbo Zhang; Huahao Zhang; Livio Ruzzante; Hugh M Robertson; Yihui Zhu; Yanjie Liu; Huipeng Yang; Lele Ding; Quangui Wang; Dongna Ma; Weilin Xu; Cheng Liang; Michael W Itgen; Lauren Mee; Gang Cao; Ze Zhang; Ben M Sadd; Matthew W Hahn; Sarah Schaack; Seth M Barribeau; Paul H Williams; Robert M Waterhouse; Rachel Lockridge Mueller
Journal:  Mol Biol Evol       Date:  2021-01-23       Impact factor: 16.240

  2 in total

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