Summary: Researchers have identified the activity of a genetic network that responds to social stress in mice.
Source: University of Illinois.
Researchers at the University of Illinois are uncovering the genomic mechanisms that underlie social behavior in mice, some of which may be shared widely across animal species
Mice have a reputation for timidity. Yet when confronted with an unfamiliar peer, a mouse may respond by rearing, chasing, grappling, and biting–and come away with altered sensitivity toward future potential threats.
What changes in the brain of an animal when its behavior is altered by experience? Research at the University of Illinois led by Professor of Cell and Developmental Biology Lisa Stubbs is working toward an answer to this question by focusing on the collective actions of genes. In a recent Genome Research publication, Stubbs and her colleagues identified and documented the activity of networks of genes involved in the response to social stress.
“The goal of this study was to understand the downstream events in mice, and how they are conveyed across interacting brain regions . . . how they might set the stage for emotional learning in response to social threat,” said Stubbs. Answers to these questions could help scientists understand how the brains of other animals, including humans, generate social behavior, as well as what goes wrong in disorders of social behavior.
The new results are part of a large-scale research project funded by the Simons Foundation that is headed by Stubbs and includes many of her coauthors, including first authors Michael Saul and Christopher Seward. Stubbs, Saul, Seward, and other coauthors are members of the Carl R. Woese Institute for Genomic Biology (IGB); Saul is an IGB Fellow and Seward is a graduate student.
An aggressive encounter between two mice is just one strand of the web of interactions that connects a population of social animals. Like individuals in a community, the genes in a genome cannot be completely understood until their relationships to one another are examined in context, including how those relationships may change across different tissues and over time.
Stubbs’ team wanted to gather information that would allow them to construct this type of comprehensive gene network to reflect how the brain of a social animal responds to an aggressive encounter. They staged a controlled encounter between pairs of mice; one mouse in its home cage, and a second, unfamiliar mouse introduced behind a screen. The presence of the intruder mouse created a social challenge for the resident mouse, while the screen prevented a physical encounter.
The researchers then quantified the activity of genes in several different regions of the brain associated with social behaviors–the frontal cortex, hypothalamus, and amygdala–and at several time points in the two hours following the encounter. In analyses of the resulting data, they looked for groups of genes acting together. In particular, they sought to identify transcription factors, genes whose protein products help control other genes, that might be orchestrating the brain’s molecular response.
Stubbs was excited to discover that the results mirrored and expanded upon previous work in other species by collaborators at the IGB, including work by the laboratory of Director Gene Robinson in honey bees.
“As we examined the regulatory networks active in the mouse brain over time, we could see that some of the same pathways already explicated in honey bees… were also dysregulated similarly by social challenge in mice,” she said. “That cross-species concordance is extremely exciting, and opens new doors to experimentation that is not being pursued actively by other research groups.”
Among the genes responding to social challenge were many related to metabolism and neurochemical signaling. In general terms, it appeared that cells in the brains of challenged mice may alter the way they consume energy and communicate with one another, changes that could adjust the neural response to future social experiences.
The researchers looked for associations between genes’ responses to social experience and their epigenetic state. How different regions of DNA are packaged into the cell (sometimes referred to as chromatin structure) can influence the activity of genes, and so-called epigenetic modifications, changes to this structure, help to modify that activity in different situations.
“We found that the chromatin landscape is profoundly remodeled over a very short time in the brain regions responding to social challenge,” said Stubbs. “This is surprising because chromatin profiles are thought to be relatively stable in adult tissues over time.” Because such changes are stable, they are sometimes hypothesized to reinforce long-term behavioral responses to experience.
Stubbs and her colleagues hope that by identifying genomic mechanisms of social behavior that are basic enough to be shared even between distantly related animal species, they can discover which biological mechanisms are most central.
“The most exciting thing in my view is using [comparisons between species] to drill through the complex response in a particular species to the ‘core’ conserved functions,” she said, “thereby providing mechanistic hypotheses that we can follow by exploiting the power of genetic models like the mouse.”
Funding: Funding provided by Simons Foundation.
Source: Nicholas Vasi – University of Illinois
Image Source: NeuroscienceNews.com image is in the public domain.
Original Research: Abstract for “Transcriptional regulatory dynamics drive coordinated metabolic and neural response to social challenge in mice” by Michael C. Saul, Christopher H. Seward, Joseph M. Troy, Huimin Zhang, Laura G. Sloofman, Xiaochen Lu, Patricia A. Weisner, Derek Caetano-Anolles, Hao Sun, Sihai Dave Zhao, Sriram Chandrasekaran, Saurabh Sinha, and Lisa Stubbs in Genome Research. Published online March 29 2017 doi:10.1101/gr.214221.116
Transcriptional regulatory dynamics drive coordinated metabolic and neural response to social challenge in mice
Agonistic encounters are powerful effectors of future behavior, and the ability to learn from this type of social challenge is an essential adaptive trait. We recently identified a conserved transcriptional program defining the response to social challenge across animal species, highly enriched in transcription factor (TF), energy metabolism, and developmental signaling genes. To understand the trajectory of this program and to uncover the most important regulatory influences controlling this response, we integrated gene expression data with the chromatin landscape in the hypothalamus, frontal cortex, and amygdala of socially challenged mice over time. The expression data revealed a complex spatiotemporal patterning of events starting with neural signaling molecules in the frontal cortex and ending in the modulation of developmental factors in the amygdala and hypothalamus, underpinned by a systems-wide shift in expression of energy metabolism-related genes. The transcriptional signals were correlated with significant shifts in chromatin accessibility and a network of challenge-associated TFs. Among these, the conserved metabolic and developmental regulator ESRRA was highlighted for an especially early and important regulatory role. Cell-type deconvolution analysis attributed the differential metabolic and developmental signals in this social context primarily to oligodendrocytes and neurons, respectively, and we show that ESRRA is expressed in both cell types. Localizing ESRRA binding sites in cortical chromatin, we show that this nuclear receptor binds both differentially expressed energy-related and neurodevelopmental TF genes. These data link metabolic and neurodevelopmental signaling to social challenge, and identify key regulatory drivers of this process with unprecedented tissue and temporal resolution.
“Transcriptional regulatory dynamics drive coordinated metabolic and neural response to social challenge in mice” by Michael C. Saul, Christopher H. Seward, Joseph M. Troy, Huimin Zhang, Laura G. Sloofman, Xiaochen Lu, Patricia A. Weisner, Derek Caetano-Anolles, Hao Sun, Sihai Dave Zhao, Sriram Chandrasekaran, Saurabh Sinha, and Lisa Stubbs in Genome Research. Published online March 29 2017 doi:10.1101/gr.214221.116