Biology subjects

Klein, M. C.

Publications and source records attributed to Klein, M. C..

6 recordsLinked to original sources

bioRxiv2026

Zebrafish screen of schizophrenia risk genes reveals convergent dysregulation of cholesterol metabolism

Rare coding variants provide a tractable entry point for understanding the molecular mechanisms underlying schizophrenia risk. Here, we generated and characterized zebrafish lines with mutations in the orthologs of >20 human schizophrenia-associated genes, including eight of the top ten SCHEMA genes, genes disrupted in childhood-onset schizophrenia (COS), and genes located within recurrent copy number variants. Whole-brain phospho-Erk activity mapping and behavioral profiling identified phenotypes in multiple mutant lines. We prioritized a protein-truncating mutation in sp4, which encodes an activity-dependent transcription factor, and a COS-associated missense mutation in atp1a3a, which encodes a Na+/K+ ATPase pump, for additional characterization. Both knockout and point mutations in atp1a3a disrupted brain activity and behavior in larvae and impaired navigation of a Y-maze in juveniles. Bulk RNA sequencing data from adult sp4 and atp1a3a brains highlighted convergent upregulation of sterol biosynthesis pathways, including increased expression of srebf2 and msmo1. Analysis of previously published telencephalon single-cell data demonstrated that cholesterol synthesis genes are enriched in astrocyte-like cells and increase in expression during post-larval development. Consistent with transcriptomic findings, filipin staining indicated increased free cholesterol in juvenile sp4 and atp1a3a mutant brains. Our findings identify dysregulation of glial and sterol-associated programs as a shared molecular consequence of two distinct schizophrenia risk mutations. Although whether sterol pathway dysregulation represents a primary pathogenic mechanism or a secondary response to changes in neuronal activity requires further investigation, the convergence observed between genetic models and developmental stages suggests that disruptions to lipid homeostasis could represent a shared feature of schizophrenia disease biology.

genetics↗

bioRxiv2024

Removal of developmentally regulated microexons has a minimal impact on larval zebrafish brain morphology and function

Microexon splicing is a vertebrate-conserved process through which small, often in-frame, exons are differentially included during brain development and across neuron types. Although the protein sequences encoded by these exons are highly conserved and can mediate interactions, the neurobiological functions of only a small number have been characterized. To establish a more generalized understanding of their roles in brain development, we used CRISPR/Cas9 to remove 45 microexons in zebrafish and assessed larval brain activity, morphology, and behavior. Most mutants had minimal or no phenotypes at this developmental stage. Among previously studied microexons, we uncovered baseline and stimulus-driven phenotypes for two microexons (meA and meB) in ptprd and reduced activity in the telencephalon in the tenm3 B0 isoform. Although mild neural phenotypes were discovered for several microexons that have not been previously characterized, including in ppp6r3, sptan1, dop1a, rapgef2, dctn4, vti1a, and meaf6. This study establishes a general approach for investigating conserved alternative splicing events and prioritizes microexons for downstream analysis.

neuroscience↗

bioRxiv2024

Climate adaptation in P. trichocarpa: key adaptive loci identified for stomata and leaf traits

Identifying the genetic basis of traits underlying climate adaptation remains a key goal for predicting species responses to climate change, enabling the elucidation of gene targets for future climate-resilient crops. Here, we measured 14 leaf and stomatal traits under control (well-watered) and drought conditions, subsampling a diversity collection of over 1,300 Populus trichocarpa genotypes, a potential biofuel feedstock crop. Stomatal traits were correlated with the climate of origin for genotypes, such that those originating from environments subject to water deficit tended to have smaller stomata, but with higher density. Stomatal traits were also correlated with leaf morphology, with larger leaves having larger stomata and lower stomatal density mirrored in correlations to climate of origin. The direction of plastic responses - reduced stomatal size under drought - mirrors the correlations seen among genotypes with respect to the aridity of environmental origin. Genome-Wide Association Studies (GWAS) identified loci underlying trait diversity, including candidates contributing to stomatal size. We used climate of origin to predict stomatal size in genotypes with unknown trait values and found that these predicted phenotypes confirmed empirically measured allele effects. Finally, we found evidence that future climates may select for alleles contributing to decreased stomatal size, with the strength of selection depending on the availability of moisture. These findings reveal adaptive variation in stomatal and physiological traits along with underlying genetic loci, with implications for future selection and breeding - providing insights into the responses to future climate change. HighlightResearch on Populus trichocarpa reveals adaptation of physiological and stomatal traits linked to drought tolerance, with genotypes from arid regions exhibiting smaller stomata, offering insights for climate change adaptation and sustainable biofuel production.

plant biology↗

bioRxiv2024

Diencephalic and Neuropeptidergic Dysfunction in Zebrafish with Autism Risk Mutations

Hundreds of human mutations are linked to autism and related disorders, yet the functions of many of these mutated genes during vertebrate neurodevelopment are unclear. We generated 27 zebrafish mutants with presumptive protein-truncating mutations or specific missense variants corresponding to autism-risk alleles in 17 human genes. We observed baseline and stimulus-driven behavioral changes at larval stages, as well as social behavior differences in lines tested as juveniles. Imaging whole-brain activity revealed a near identical activity map for mutations in the unrelated genes kmt5b and hdlbpa, defined by increased activity mainly in the diencephalon. Mutating 7 of the 17 risk genes resulted in substantial brain size differences. Using RNA sequencing, we further defined molecular drivers of the observed phenotypes, identifying targetable disruptions in neuropeptide signaling, neuronal maturation, and cell proliferation. This multi-modal screen nominated brain regions, cell types, and molecular pathways that may contribute to autism susceptibility. TeaserZebrafish screen uncovers diencephalon, social interaction, and neuropeptidergic signaling phenotypes in ASD risk mutants.

genetics↗

bioRxiv2024

Harnessing the power of poplar tree natural genetic variation for the development of future sustainable biofuels and bioproducts: a droughted marginal-land experiment for multi-disciplinary investigations

The emerging bioeconomy offers significant potential to replace fossil-fuel-based energy, manufacturing, and processing with that utilizing biomass as the raw feedstock. However, feedstock production from non-food crops such as fast-growing trees, must be delivered at scale, in a reliable and consistent manner, utilizing marginal land unsuitable for food crops and with minimum inputs. This new generation of feedstock crops has a limited history of domestication. Foundational knowledge is required to enable rapid selection and breeding for improved cultivars and varieties to enable large-scale planting of 600M ha, globally over the coming decades. Here, we describe an innovative field platform with over 1,000 unique genotypes of fast-growing poplar (Populus trichocarpa) trees, each sequenced and being subjected to a controlled drought. The 6.5 ha site provides opportunities to bring together multi-disciplinary phenotyping science linked to computational, and AI approaches, enabling the link between complex plant traits and their underlying genes to be rapidly established and translated into the development of improved climate-resilient germplasm for a future at-scale bioeconomy.

plant biology↗

bioRxiv2018

Automatic error control during forward flux sampling of rare events in master equation models

Enhanced sampling methods, such as forward flux sampling (FFS), have great capacity for accelerating stochastic simulations of nonequilibrium biochemical systems involving rare events. However, the description of the tradeoffs between simulation efficiency and error in FFS remains incomplete. We present a novel and mathematically rigorous analysis of the errors in FFS that, for the first time, covers the contribution of every phase of the simulation. We derive a closed form expression for the optimally efficient count of samples to take in each FFS phase in terms of a fixed constraint on sampling error. We introduce a new method, forward flux pilot sampling (FFPilot), that is designed to take full advantage of our optimizing equation without prior information or assumptions about the phase weights and costs along the transition path. In simulations of both single- and multi-dimensional gene regulatory networks, FFPilot is able to completely control sampling error. Higher dimensional systems have additional sources of error and we show that this extra error can be traced to correlations between phases due to roughness on the probability landscape. Finally, we show that in sets of simulations with matched error, FFPilot is on the order of tens-to-hundreds of times faster than direct sampling, in a fashion that scales with the rarity of the events.

biophysics↗