Search bioRxiv⌕ Search

Biology subjects

Goff, J. P.

Publications and source records attributed to Goff, J. P..

4 recordsLinked to original sources

Risk reshapes amygdala representation of choice

Modifying behavior in response to changing environmental conditions is a crucial adaptive function. This capacity is exemplified when animals curtail pursuit of a valued outcome that risks being punished by aversive consequences, but the mediating brain mechanisms remain poorly understood. Here, using in vivo cellular-resolution calcium (Ca2+) imaging, optogenetics and chemogenetics, we show that risk of punishment dramatically alters animals choice between a large/risky and small- /safe reward and produces novel, causally necessary, patterns of activity in basolateral amygdala (BLA) neurons. We find that experience of a punished outcome generates a BLA representation that is selectively replayed when animals subsequently abort choice of the large/risky reward option. Additionally, we show that risk leads to the incorporation of newly encoding BLA neurons into the pre-choice representation, which predicts shifting away from the large/risky option. These findings reveal how dynamic reshaping of BLA representations underpins behavioral flexibility in the face of risk.

neuroscience↗

The microbiota extends the reproductive lifespan by safeguarding the ovarian reserve

Infertility is a devastating condition affecting one in six people globally. In many cases, the underlying causes are unknown. Emerging evidence suggests that the microbiota influences reproduction, yet the mechanistic link between the microbiota, ovarian function, and length of the fertile lifespan remain unexplored. Here we report that the microbiota controls the length of the reproductive lifespan by maintaining the primordial follicle pool, a process mediated by microbiota-derived short chain fatty acids modulating gene regulatory networks crucial for the survival of the ovarian reserve. Dietary perturbation of the microbiota during a critical developmental window is sufficient to diminish the ovarian reserve, reduce oocyte retrieval, and impair preimplantation embryo viability, mirroring challenges in human fertility treatments. Targeted interventions to restore microbiota improve assisted reproductive outcomes, particularly when implemented early. These findings reveal a novel contribution of host-microbe interactions in mammalian reproduction and demonstrate that the microbiota impacts ovarian function and fertility.

developmental biology↗

Diet influences community dynamics following vaginal group B Streptococcus colonization

The vaginal microbiota plays a pivotal role in reproductive, sexual, and perinatal health and disease. Unlike the well-established connections between diet, metabolism, and the intestinal microbiota, parallel mechanisms influencing the vaginal microbiota and pathogen colonization remain overlooked. In this study, we combine a mouse model of Streptococcus agalactiae strain COH1 (GBS) vaginal colonization with a mouse model of pubertal-onset obesity to assess diet as a determinant of vaginal microbiota composition and its role in colonization resistance. We leveraged culture-dependent assessment of GBS clearance and culture-independent, sequencing-based reconstruction of the vaginal microbiota in relation to diet, obesity, glucose tolerance, and microbial dynamics across time scales. Our findings demonstrate that excessive body weight gain and glucose intolerance are not associated with vaginal GBS density or timing of clearance. Diets high in fat and low in soluble fiber are associated with vaginal GBS persistence, and changes in vaginal microbiota structure and composition due to diet contribute to GBS clearance patterns in nonpregnant mice. These findings underscore a critical need for studies on diet as a key determinant of vaginal microbiota composition and its relevance to reproductive and perinatal outcomes. IMPORTANCEThis work sheds light on diet as a key determinant influencing the composition of vaginal microbiota and its involvement in group B Streptococcus (GBS) colonization in a mouse model. The study shows that dietary components, such as dietary fat and soluble fiber, impact GBS density and timing of clearance in the female reproductive tract. These findings are particularly significant given clear links between GBS and adverse reproductive and neonatal outcomes, advancing our understanding by identifying critical connections between dietary components, factors originating from the intestinal tract, vaginal microbiota, and reproductive outcomes.

microbiology↗

The magnitude of sex differences in host-microbe interactions are time-of-day dependent

Circadian rhythms dynamically regulate sex differences in metabolism and immunity, and circadian disruption increases the risk of metabolic disorders. We investigated the role of sex-specific microbial circadian rhythms in host metabolism using germ-free and conventionalized female and male mice, dietary manipulations, coupled with a systems biology approach. Sex differences in circadian rhythms of genes involved in immunity and metabolism are dependent on oscillations in the microbiota, microbial metabolic functions, and microbial metabolites. Further, dietary factors modify the magnitude of sex differences in host-microbe circadian dynamics. We show that consuming an obesogenic high-fat, low-fiber diet produced sex-specific changes in circadian rhythms in microbiota, metabolites, and host gene expression, which were linked to sex differences in the severity of metabolic dysfunction. These results reveal that microbial circadian rhythms contribute to sex differences in metabolism, emphasizing the need to consider sex as a biological variable in research on microbial contributions to metabolic dysfunction. HIGHLIGHTSO_LIMicrobial circadian rhythms differ by sex. C_LIO_LISex-specific rhythms in host transcriptional networks are microbiome-dependent. C_LIO_LIDiet-induced obesity entrains new sex-specific rhythms in microbiome and host genes. C_LIO_LITiming of data collection influences magnitude of sex differences. C_LI

systems biology↗