Automated long-term tracking and social behavioural phenotyping of animal colonies within a semi-natural environment

被引：157

作者：

Weissbrod, Aharon ^{[1
]}

Shapiro, Alexander ^{[1
]}

Vasserman, Genadiy ^{[1
]}

Edry, Liat ^{[1
]}

Dayan, Molly ^{[1
]}

Yitzhaky, Assif ^{[2
]}

Hertzberg, Libi ^{[2
,3
]}

Feinerman, Ofer ^{[2
]}

Kimchi, Tali ^{[1
]}

机构：

[1] Weizmann Inst Sci, Dept Neurobiol, IL-76100 Rehovot, Israel

[2] Weizmann Inst Sci, Dept Phys Complex Syst, IL-76100 Rehovot, Israel

[3] Tel Aviv Univ, Emot Cognit Res Ctr, Shalvata Mental Hlth Ctr, Sackler Fac Med, IL-39040 Tel Aviv, Israel

来源：

NATURE COMMUNICATIONS | 2013年 / 4卷

基金：

以色列科学基金会;

关键词：

MOUSE MODELS; MICE; SYSTEM; INFORMATION; HUNTINGTONS; TECHNOLOGY; GENETICS; STRAINS; STATE;

D O I：

10.1038/ncomms3018

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Social behaviour has a key role in animal survival across species, ranging from insects to primates and humans. However, the biological mechanisms driving natural interactions between multiple animals, over long-term periods, are poorly studied and remain elusive. Rigorous and objective quantification of behavioural parameters within a group poses a major challenge as it requires simultaneous monitoring of the positions of several individuals and comprehensive consideration of many complex factors. Automatic tracking and phenotyping of interacting animals could thus overcome the limitations of manual tracking methods. Here we report a broadly applicable system that automatically tracks the locations of multiple, uniquely identified animals, such as mice, within a semi-natural setting. The system combines video and radio frequency identified tracking data to obtain detailed behavioural profiles of both individuals and groups. We demonstrate the usefulness of these data in characterizing individual phenotypes, interactions between pairs and the collective social organization of groups.

引用

页数：10

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