Explore the vast range of titles available.

Organisms living in seasonally variable environments utilize cues such as light and temperature to induce plastic responses, enabling them to exploit favorable seasons and avoid unfavorable ones. Local adapation can result in variation in seasonal responses, but the genetic basis and evolutionary history of this variation remains elusive. Many insects, including Drosophila melanogaster , are able to undergo an arrest of reproductive development (diapause) in response to unfavorable conditions. In D . melanogaster , the ability to diapause is more common in high latitude populations, where flies endure harsher winters, and in the spring, reflecting differential survivorship of overwintering populations. Using a novel hybrid swarm-based genome wide association study, we examined the genetic basis and evolutionary history of ovarian diapause. We exposed outbred females to different temperatures and day lengths, characterized ovarian development for over 2800 flies, and reconstructed their complete, phased genomes. We found that diapause, scored at two different developmental cutoffs, has modest heritability, and we identified hundreds of SNPs associated with each of the two phenotypes. Alleles associated with one of the diapause phenotypes tend to be more common at higher latitudes, but these alleles do not show predictable seasonal variation. The collective signal of many small-effect, clinally varying SNPs can plausibly explain latitudinal variation in diapause seen in North America. Alleles associated with diapause are segregating in Zambia, suggesting that variation in diapause relies on ancestral polymorphisms, and both pro- and anti-diapause alleles have experienced selection in North America. Finally, we utilized outdoor mesocosms to track diapause under natural conditions. We found that hybrid swarms reared outdoors evolved increased propensity for diapause in late fall, whereas indoor control populations experienced no such change. Our results indicate that diapause is a complex, quantitative trait with different evolutionary patterns across time and space.

Molecular evolutionary rate varies significantly among species and a strict global molecular clock has been rejected across the tree of life. Generation time is one primary life-history trait that influences the molecular evolutionary rate. Theory predicts that organisms with shorter generation times evolve faster because of the accumulation of more DNA replication errors per unit time. Although the generation-time effect has been demonstrated consistently in plants and animals, the evidence of its existence in bacteria is lacking. The bacterial phylum Firmicutes offers an excellent system for testing generation-time effect because some of its members can enter a dormant, nonreproductive endospore state in response to harsh environmental conditions. It follows that spore-forming bacteria would—with their longer generation times—evolve more slowly than their nonspore-forming relatives. It is therefore surprising that a previous study found no generation-time effect in Firmicutes. Using a phylogenetic comparative approach and leveraging on a large number of Firmicutes genomes, we found sporulation significantly reduces the genome-wide spontaneous DNA mutation rate and protein evolutionary rate. Contrary to the previous study, our results provide strong evidence that the evolutionary rates of bacteria, like those of plants and animals, are influenced by generation time.

Genetic association studies seek to uncover the link between genotype and phenotype, and often utilize inbred reference panels as a replicable source of genetic variation. However, inbred reference panels can differ substantially from wild populations in their genotypic distribution, patterns of linkage-disequilibrium, and nucleotide diversity. As a result, associations discovered using inbred reference panels may not reflect the genetic basis of phenotypic variation in natural populations. To address this problem, we evaluated a mapping population design where dozens to hundreds of inbred lines are outbred for few generations, which we call the Hybrid Swarm. The Hybrid Swarm approach has likely remained underutilized relative to pre-sequenced inbred lines due to the costs of genome-wide genotyping. To reduce sequencing costs and make the Hybrid Swarm approach feasible, we developed a computational pipeline that reconstructs accurate whole genomes from ultra-low-coverage (0.05X) sequence data in Hybrid Swarm populations derived from ancestors with phased haplotypes. We evaluate reconstructions using genetic variation from the Drosophila Genetic Reference Panel as well as variation from neutral simulations. We compared the power and precision of Genome-Wide Association Studies using the Hybrid Swarm, inbred lines, recombinant inbred lines (RILs), and highly outbred populations across a range of allele frequencies, effect sizes, and genetic architectures. Our simulations show that these different mapping panels vary in their power and precision, largely depending on the architecture of the trait. The Hybrid Swam and RILs outperform inbred lines for quantitative traits, but not for monogenic ones. Taken together, our results demonstrate the feasibility of the Hybrid Swarm as a cost-effective method of fine-scale genetic mapping.

Background The iPSC Neurodegenerative Disease Initiative (iNDI) is the largest‐ever induced pluripotent stem cell (iPSC) genome engineering project, modeling over 100 ADRD mutations in high‐quality isogenic human iPSCs. iNDI leverages unbiased CRISPRi screens as a powerful tool to identify fundamental mechanisms and modifiers of disease. However, current CRISPRi molecular tools are poorly optimized for use in iPSC‐derived neurons (iNeurons). Here we develop a Cre‐lox inducible CRISPRi system (CRISPRi‐Cre), enabling gene knockdown upon Cre delivery to postmitotic iNeurons, and identification of neuron‐specific, disease‐relevant modifiers. Method We modified a plasmid carrying a potent Zim3‐dCas9 transcriptional repressor to include a strong floxed STOP cassette upstream of the Zim3 start codon. We leveraged HaloTag‐TDP43 and HaloTag‐FUS iSPCs from the iNDI project paired with flow cytometry to validate leakiness and responsiveness to Cre in iPSCs and iNeurons treated with sgRNAs. We then performed a genome‐wide CRISPRi survival screen in iNeurons to demonstrate broad functionality of this inducible CRISPRi system with over 20,000 sgRNAs. Finally, we use CRISPRi‐Cre to identify neuron‐specific regulators of neuronal activity in iNeurons. Result We demonstrate that in the absence of Cre, dCas9 is inactive. Delivery of lentivirus‐Cre to iNeurons activates dCas9, resulting in potent gene knockdown. In genome‐wide CRISPRi screens, we show that CRISPRi‐Cre identifies many of the same hits observed in screens using constitutive‐active dCas9, and importantly uncovers novel neuron‐specific hits not identified in previous CRISPRi screens. Conclusion Here, we developed a robust Cre‐inducible CRISPRi system that enables post‐mitotic gene knockdown in iPSC‐derived neurons. Our CRISPRi screens identify neuron‐specific hits, demonstrating the utility of our tool to help uncover disease‐relevant mechanisms, modifiers, and potential therapeutic targets in relevant cell types.

The iPSC Neurodegenerative Disease Initiative (iNDI) is the largest-ever induced pluripotent stem cell (iPSC) genome engineering project, modeling over 100 ADRD mutations in high-quality isogenic human iPSCs. iNDI leverages unbiased CRISPRi screens as a powerful tool to identify fundamental mechanisms and modifiers of disease. However, current CRISPRi molecular tools are poorly optimized for use in iPSC-derived neurons (iNeurons). Here we develop a Cre-lox inducible CRISPRi system (CRISPRi-Cre), enabling gene knockdown upon Cre delivery to postmitotic iNeurons, and identification of neuron-specific, disease-relevant modifiers. We modified a plasmid carrying a potent Zim3-dCas9 transcriptional repressor to include a strong floxed STOP cassette upstream of the Zim3 start codon. We leveraged HaloTag-TDP43 and HaloTag-FUS iSPCs from the iNDI project paired with flow cytometry to validate leakiness and responsiveness to Cre in iPSCs and iNeurons treated with sgRNAs. We then performed a genome-wide CRISPRi survival screen in iNeurons to demonstrate broad functionality of this inducible CRISPRi system with over 20,000 sgRNAs. Finally, we use CRISPRi-Cre to identify neuron-specific regulators of neuronal activity in iNeurons. We demonstrate that in the absence of Cre, dCas9 is inactive. Delivery of lentivirus-Cre to iNeurons activates dCas9, resulting in potent gene knockdown. In genome-wide CRISPRi screens, we show that CRISPRi-Cre identifies many of the same hits observed in screens using constitutive-active dCas9, and importantly uncovers novel neuron-specific hits not identified in previous CRISPRi screens. Here, we developed a robust Cre-inducible CRISPRi system that enables post-mitotic gene knockdown in iPSC-derived neurons. Our CRISPRi screens identify neuron-specific hits, demonstrating the utility of our tool to help uncover disease-relevant mechanisms, modifiers, and potential therapeutic targets in relevant cell types.

Mass spectrometry (MS) is a technique widely employed for the identification and characterization of proteins, personalized medicine, systems biology and biomedical applications. By combining MS with different proteomics approaches such as immunopurification MS, immunopeptidomics, and total protein proteomics, researchers can gain insights into protein-protein interactions, immune responses, cellular processes, and disease mechanisms. The application of MS-based proteomics in these areas continues to advance our understanding of protein function, cellular signaling, and complex biological systems. Data analysis for mass spectrometry is a critical process that includes identifying and quantifying proteins and peptides and exploring biological functions for these proteins in downstream analysis. To address the complexities associated with MS data analysis, we developed ProtPipe to streamline and automate the processing and analysis of high-throughput proteomics and peptidomics datasets. The pipeline facilitates data quality control, sample filtering, and normalization, ensuring robust and reliable downstream analysis. ProtPipe provides downstream analysis including identifying differential abundance proteins and peptides, pathway enrichment analysis, protein-protein interaction analysis, and MHC1-peptide binding affinity. ProtPipe generates annotated tables and diagnostic visualizations from statistical postprocessing and computation of fold-changes across pairwise conditions, predefined in an experimental design. ProtPipe is well-documented open-source software and is available at https://github.com/NIH-CARD/ProtPipe , accompanied by a web interface.

DNA methylation is an important epigenetic mechanism that helps define and maintain cellular functions. It is influenced by many factors, including environmental exposures, genotype, cell type, sex, and aging. Since age is the primary risk factor for developing neurodegenerative diseases, it is important to determine if aging-related DNA methylation is retained when cells are reprogrammed to an induced Pluripotent Stem Cell (iPSC) state. Here, we selected peripheral blood mononuclear cells (PBMCs; n = 99) from a cohort of diverse and healthy individuals enrolled in the Genetic and Epigenetic Signatures of Translational Aging Laboratory Testing (GESTALT) study to convert to iPSCs. After reprogramming we evaluated the resulting iPSCs for DNA methylation signatures to determine if they reflect the confounding factors of age and environmental factors. We used genome-wide DNA methylation arrays in both cell types to show that the epigenetic clock is largely reset to an early methylation age after conversion of PBMCs to iPSCs. We further examined the epigenetic age of each cell type using an Epigenome-wide Association Study (EWAS). Finally, we identified a set of methylation Quantitative Trait Loci (methQTL) in each cell type. Our results show that age-related DNA methylation is largely reset in iPSCs, and each cell type has a unique set of methylation sites that are genetically influenced.

Induced pluripotent stem cell (iPSC)-derived neurons have emerged as a powerful model to investigate both neuronal development and neurodegenerative diseases. Although transcriptomics and imaging have been applied to characterize neuronal development signatures, comprehensive datasets of protein and post-translational modifications (PTMs) are not readily available. Here, we applied quantitative proteomics and phosphoproteomics to profile the differentiation of the KOLF2.1J iPSC line, the first reference line of the iPSC Neurodegenerative Disease Initiative (iNDI) project. We developed an automated workflow enabling high-coverage enrichment of proteins and phosphoproteins. Our results revealed molecular signatures across proteomic and phosphoproteomic landscapes during differentiation of iPSC-derived neurons. Proteomic data highlighted distinct changes in mitochondrial pathways throughout the course of differentiation, while phosphoproteomics revealed specific regulatory dynamics in GTPase signaling pathways and microtubule proteins. Additionally, phosphosite dynamics exhibited discordant trends compared to protein expression, particularly in processes related to axon functions and RNA transport. Furthermore, we mapped the kinase dynamic changes that are critical for neuronal development and maturation. We developed an interactive Web app (https://niacard.shinyapps.io/Phosphoproteome/) to visualize temporal landscape dynamics of protein and phosphosite expression. By establishing baselines of proteomic and phosphoproteomic profiles for neuronal differentiation, this dataset offers a valuable resource for future research into neuronal development and neurodegenerative diseases using this reference iPSC line.

Neurons rely on mRNA transport and local translation to facilitate rapid protein synthesis in processes far from the cell body. These processes allow precise spatial and temporal control of translation and are mediated by RNA binding proteins (RBPs), including those known to be associated with neurodegenerative diseases. Here, we use proteomics, transcriptomics, and microscopy to investigate the impact of RBP knockdown on mRNA transport and local translation in iPSC-derived neurons. We find thousands of transcripts enriched in neurites and that many of these transcripts are locally translated, possibly due to the shorter length of transcripts in neurites. Loss of frontotemporal dementia/amyotrophic lateral sclerosis (FTD/ALS)-associated RBPs TDP-43 and hnRNPA1 lead to distinct alterations in the neuritic proteome and transcriptome. TDP-43 knockdown (KD) leads to increased neuritic mRNA and translation. In contrast, hnRNPA1 leads to increased neuritic mRNA, but not translation, and more moderate effects on local mRNA profiles, possibly due to compensation by hnRNPA3. These results highlight the crucial role of FTD/ALS-associated RBPs in mRNA transport and local translation in neurons and the importance of these processes in neuron health and disease.