論文

査読有り 筆頭著者 責任著者
2014年1月

Genotype-Based Recognition Among Individuals of the Social Insect Pristomyrmex Punctatus (Japanese Queenless Ant) from Geographically Divergent Populations

JOURNAL OF INSECT BEHAVIOR
  • Yudai Nishide
  • ,
  • Toshiyuki Satoh
  • ,
  • Cathleen E. Thomas
  • ,
  • Kikuo Iwabuchi

27
1
開始ページ
117
終了ページ
126
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1007/s10905-013-9416-2
出版者・発行元
SPRINGER/PLENUM PUBLISHERS

The queenless ant, Pristomyrmex punctatus (F. Smith) reproduces parthenogenetically. The workers lay unfertilized eggs, which develop into female workers. This mode of reproduction generates hereditary clones. A previous research shows that when genetically monomorphic colonies were split, the workers tended to reassemble after being split into two groups, but when genetically polymorphic colonies split, they remained as two separate colonies. However, it remains unclear whether the workers can recognize individual genotype. Here, it was investigated whether individuals from geographically divergent, genetically monomorphic colonies would assemble with individuals of the same genotype. Two artificially fused colonies were prepared, A and B, comprising 200 individuals and 100 individuals, respectively. Each half of the artificially fused colony was composed of workers from two different genetically monomorphic source colonies. The workers assembled as a single colony when the genotype of the source colonies was identical. However, when the genotypes of source colonies were different, the workers did not assemble into one colony, but split into two groups according to genotype. These results suggest that P. punctatus can potentially recognize individual genotype, and select colony members based on an individual's genotype.

リンク情報
DOI
https://doi.org/10.1007/s10905-013-9416-2
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000329237700010&DestApp=WOS_CPL
ID情報
  • DOI : 10.1007/s10905-013-9416-2
  • ISSN : 0892-7553
  • eISSN : 1572-8889
  • Web of Science ID : WOS:000329237700010

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