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Comparative transcriptomics support evolutionary convergence of diapause responses across Insecta: Comparative transcriptomics of diapause
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Abstract Organisms inhabiting high-latitude environments have evolved adaptations, such as diapause to time reproduction and growth to optimize their survival. However, the physiological regulation of the timing of complex life histories is poorly understood, particularly for marine copepods, that diapause at depth. A member of the pelagic community of the sub-Arctic Pacific Ocean,Neocalanus flemingerienters diapause in June. Egg production occurs in winter/spring. In order to characterize the transition from diapause to egg release, females were collected in late September from 400–700 m depth, incubated in the dark at 4–5 °C and sampled for RNASeq at weekly intervals. The diapause phenotype showed down-regulation of protein turnover and up-regulation of stress genes. Activation of the reproductive program was marked by the up-regulation of genes involved in germline development. Thereafter, progress through phases of oocyte development could be linked to changes in gene expression. At 5 weeks, females showed up-regulation of spermatogenesis, indicating that stored sperm had been in a quiescent stage and completed their maturation inside the female. Gene expression profiles provide a framework to stage field-collected females. The 7-week progression from diapause to late oogenesis suggests that females typically spawning in January initiated the reproductive program in November.more » « less
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Extremophilic yeasts have favorable metabolic and tolerance traits for biomanufacturing‐ like lipid biosynthesis, flavinogenesis, and halotolerance – yet the connection between these favorable phenotypes and strain genotype is not well understood. To this end, this study compares the phenotypes and gene expression patterns of biotechnologically relevant yeasts Yarrowia lipolytica, Debaryomyces hansenii, and Debaryomyces subglobosus grown under nitrogen starvation, iron starvation, and salt stress. To analyze the large data set across species and conditions, two approaches were used: a “network‐first” approach where a generalized metabolic network serves as a scaffold for mapping genes and a “cluster‐first” approach where unsupervised machine learning co‐expression analysis clusters genes. Both approaches provide insight into strain behavior. The network‐first approach corroborates that Yarrowia upregulates lipid biosynthesis during nitrogen starvation and provides new evidence that riboflavin overproduction in Debaryomyces yeasts is overflow metabolism that is routed to flavin cofactor production under salt stress. The cluster‐first approach does not rely on annotation; therefore, the coexpression analysis can identify known and novel genes involved in stress responses, mainly transcription factors and transporters. Therefore, this work links the genotype to the phenotype of biotechnologically relevant yeasts and demonstrates the utility of complementary computational approaches to gain insight from transcriptomics data across species and conditions.more » « less
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The cognitive abilities of humans are distinctive among primates, but their molecular and cellular substrates are poorly understood. We used comparative single-nucleus transcriptomics to analyze samples of the middle temporal gyrus (MTG) from adult humans, chimpanzees, gorillas, rhesus macaques, and common marmosets to understand human-specific features of the neocortex. Human, chimpanzee, and gorilla MTG showed highly similar cell-type composition and laminar organization as well as a large shift in proportions of deep-layer intratelencephalic-projecting neurons compared with macaque and marmoset MTG. Microglia, astrocytes, and oligodendrocytes had more-divergent expression across species compared with neurons or oligodendrocyte precursor cells, and neuronal expression diverged more rapidly on the human lineage. Only a few hundred genes showed human-specific patterning, suggesting that relatively few cellular and molecular changes distinctively define adult human cortical structure.more » « less
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Molecular profiles of neurons influence information processing, but bridging the gap between genes, circuits, and behavior has been very difficult. Furthermore, the behavioral state of an animal continuously changes across development and as a result of sensory experience. How behavioral state influences molecular cell state is poorly understood. Here we present a complete atlas of the Drosophila larval central nervous system composed of over 200,000 single cells across four developmental stages. We develop polyseq, a python package, to perform cell-type analyses. We use single-molecule RNA-FISH to validate our scRNAseq findings. To investigate how internal state affects cell state, we optogentically altered internal state with high-throughput behavior protocols designed to mimic wasp sting and over activation of the memory system. We found nervous system-wide and neuron-specific gene expression changes. This resource is valuable for developmental biology and neuroscience, and it advances our understanding of how genes, neurons, and circuits generate behavior.more » « less
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1111/phen.12193
