Editorial: Advances in Systems Neurogenetics

Paul Carney^*Bing Zhang^*

• University of Missouri, Columbia, United States

The study by Yin et al. explores the interaction between circadian regulatory genes and long-term memory formation. Using precise, inducible genetic tools in Drosophila, the authors demonstrate that expression of clock genes in the dorsal anterior lateral neurons is essential for memory consolidation but not retrieval. These neurons are required for olfactory memory but are not part of the classical central circadian clock. Acute suppression of clock or cycle genes after training impairs three-day memory, whereas induction prior to testing does not, supporting a temporally restricted requirement during consolidation. Intriguingly, global mutants for the same genes exhibit normal memory, suggesting that systems-level compensation across the circadian network masks the deficit when disruption occurs developmentally. This distinction highlights a fundamental concept in systems neurogenetics: cell-typespecific perturbations can reveal roles obscured in whole-organism mutants by circuit-wide buffering. The study integrates molecular rhythmicity, synaptic plasticity, and circuit function, offering mechanistic clues relevant to sleep-dependent memory processes observed across species.Ren et al. focus on neurofibromatosis type 1, a complex Ras-MAPK pathway disorder characterized by extreme phenotypic variability even among individuals sharing identical NF1 variants. The case they describe illustrates this challenge clearly. A child with epilepsy harbors two NF1 variants: a novel frameshift mutation inherited from her mother and a splice-site change inherited from her father. Despite carrying the same frameshift mutation, the mother developed tumors without epilepsy, while the father, who carries the splice-site variant, remains unaffected. Through genetic testing and structural modeling, the authors conclude that the frameshift mutation is likely pathogenic, whereas the splice-site variant appears benign. This analysis demonstrates how clinical interpretation requires integrating molecular prediction, family segregation, protein modeling, and phenotype correlation. Importantly, the phenotypic discordance between mother and daughter reinforces the concept that NF1 severity is shaped by contextdependent factors, including modifier genes, developmental windows, and tissue-specific sensitivity to Ras-MAPK dysregulation. This case contributes to the broader understanding that genotype alone cannot reliably forecast neurologic outcomes in NF1.Fu et al. address the problem of variable expressivity in X-linked adrenoleukodystrophy by studying a family with an exon-2 deletion in ABCD1, including monozygotic twins discordant for childhood-onset disease. Using whole-blood transcriptome sequencing, the authors identify differentially expressed genes and enriched pathways associated with onset timing and disease severity. Candidate genes include C4BPA, TPBG, CHST15, and SMAD1, with enrichment for pathways involving calcium homeostasis, immune signaling, and membrane regulation. By incorporating data from asymptomatic carriers and an unaffected homozygous relative, the study maps transcriptional patterns that may serve as modifiers or early indicators of clinical trajectory. Although peripheral blood cannot fully reflect central nervous system pathology, the systems-level approach provides valuable hypotheses regarding resilience and vulnerability in monogenic leukodystrophy. The work exemplifies how multi-individual transcriptomic comparison can illuminate regulatory differences that shape disease onset, even among genetically identical individuals.Across these contributions, several unifying themes emerge. First, multiscale integration is essential for understanding neurogenetic disorders. Whether examining LLPS disruption in toxic aging, circadian gene cycling in memory circuits, Ras-MAPK dynamics in NF1, or transcriptional modifiers in ALD, each study demonstrates that pathogenic mechanisms operate across molecular, cellular, and systems levels. Second, genetic background and context critically modify clinical expression. The NF1 family and ALD twins illustrate how identical variants can lead to divergent outcomes through modifier networks and developmental timing. Third, model organisms provide irreplaceable mechanistic insight. The Drosophila studies highlight how conserved genetic pathways can be interrogated with temporal and spatial precision, revealing principles relevant to human disease. Fourth, integrating clinical data with molecular and computational tools strengthens diagnostic interpretation and may guide future therapeutic strategies.Together, these articles reflect the expanding capacity of systems neurogenetics to dissect complex neurological disorders. As technologies such as single-cell sequencing, spatial transcriptomics, highresolution circuit mapping, and machine-learning-based phenotyping continue to advance, they will further enhance our ability to connect genetic variation with neural function and clinical outcome. This Research Topic demonstrates that mechanistic understanding emerges most powerfully when genetic, molecular, and systems-level analyses are combined, reinforcing the promise of precision approaches in neurology and neurodevelopmental medicine.