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Synteny and Evolution

Synteny and Evolution

John H. Renwick first coined the term “synteny” in 1971, which refers to the genes present on the same chromosomes, even if they are not genetically linked. The species with common ancestry tend to show conserved syntenic regions. Therefore, the concept of synteny is nowadays used to describe the evolutionary relationship between species.
Around 80 million years ago, the human and mice lineages diverged from the common ancestor. During the course of evolution, the ancestral chromosome underwent...

Impact of Groups on Groups

Impact of Groups on Groups

Social psychologists analyze how groups influence one another, shaping social structures and interactions through both cooperation and competition. These dynamics manifest in various ways, ranging from economic partnerships to intergroup conflicts that shape societal structures and perceptions.Cooperation and Competition in Intergroup RelationsIntergroup relationships vary across contexts, sometimes fostering cooperation and mutual benefit while at other times leading to conflict and...

Impact of Groups on Individuals

Impact of Groups on Individuals

Groups play a fundamental role in shaping individual behavior, as they establish norms that guide interactions and decision-making. Social psychology examines how individuals conform to group expectations, often adjusting their attitudes and actions to align with group norms. These norms can be formal, such as workplace policies, or informal, such as unspoken social expectations within a fraternity.Conformity and Social InfluenceConformity arises when individuals modify their behaviors or...

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Related Experiment Video

Updated: Jun 22, 2026

Assessment of Social Cognition in Non-human Primates Using a Network of Computerized Automated Learning Device (ALDM) Test Systems

Assessment of Social Cognition in Non-human Primates Using a Network of Computerized Automated Learning Device (ALDM) Test Systems

Published on: May 5, 2015

A social network analysis of primate groups.

Claudia Kasper¹, Bernhard Voelkl

¹Ethologie des Primates, Département Ecologie, Physiologie et Ethologie (DEPE) IPHC (CNRS UMR 7178), Strasbourg Cedex, France. claudia.kasper@c-strasbourg.fr

Primates; Journal of Primatology

|June 18, 2009

Summary

Social network analysis offers a new way to understand primate social structures. This study reveals diverse social organizations across 30 primate species using network metrics for finer detail.

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Reverse Dissection and DiceCT Reveal Otherwise Hidden Data in the Evolution of the Primate Face

Reverse Dissection and DiceCT Reveal Otherwise Hidden Data in the Evolution of the Primate Face

Published on: January 7, 2019

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Last Updated: Jun 22, 2026

Assessment of Social Cognition in Non-human Primates Using a Network of Computerized Automated Learning Device (ALDM) Test Systems

Assessment of Social Cognition in Non-human Primates Using a Network of Computerized Automated Learning Device (ALDM) Test Systems

Published on: May 5, 2015

Reverse Dissection and DiceCT Reveal Otherwise Hidden Data in the Evolution of the Primate Face

Reverse Dissection and DiceCT Reveal Otherwise Hidden Data in the Evolution of the Primate Face

Published on: January 7, 2019

Area of Science:

Primate social behavior
Quantitative ethology
Network science

Background:

Primate social systems are complex and existing classifications are often simplistic or inconsistent.
Social network analysis (SNA) provides tools to analyze interaction patterns, previously applied to human societies.
SNA is increasingly used for animal societies, but primate groups require methods emphasizing relationship quality due to size and density differences.

Purpose of the Study:

To discuss network measures applicable to primate social organization.
To present results from a network analysis of 70 primate groups across 30 species.
To offer a more detailed characterization of primate social structures than traditional methods.

Main Methods:

Applied social network analysis (SNA) techniques, rooted in graph theory, to primate interaction data.
Focused on structural network measures at the group level: interaction patterns, centrality, and group structuring.
Analyzed data from 70 social groups representing 30 different primate species.

Main Results:

Observed considerable variability in network measures across primate groups.
Demonstrated that network metrics reflect the high diversity of primate social organizations.
Identified distinct patterns in interaction distribution, centrality, and group structuring.

Conclusions:

Network metrics provide a finer-grained characterization of primate social organization compared to traditional classifications.
This quantitative approach enhances species comparisons and aids in interpreting social behavior.
SNA offers a robust framework for understanding the complexity of primate social systems.