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Wu, Y.-W.

Publications and source records attributed to Wu, Y.-W..

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Morphological profile determines the frequency of spontaneous calcium events in astrocytic processes

Astrocytes express a complex repertoire of intracellular Ca2+ transients (events) that represent a major form of signaling within individual cells and in the astrocytic syncytium. These events have different spatiotemporal profiles, which are modulated by neuronal activity. Spontaneous Ca2+ events appear more frequently in distal astrocytic processes and independently from each other. However, little is known about the mechanisms underlying such subcellular distribution of the Ca2+ events. Here we identify the initiation points of the Ca2+ events within the territory of single astrocytes expressing genetically encoded Ca2+ indicator GCaMP2 in culture or in hippocampal slices. We found that most of the Ca2+ events start in thin distal processes. Our mathematical model demonstrated that a high surface-to-volume (SVR) of the thin processes leads to increased amplitude of baseline Ca2+ fluctuations caused by a stochastic opening of Ca2+ channels in the plasma membrane. Suprathreshold fluctuations trigger Ca2+-induced Ca2+ release (CICR) from the Ca2+ stores by activating inositol 1,4,5-trisphosphate (IP3) receptors. In agreement with the model prediction, the spontaneous Ca2+ events frequency depended on the extracellular Ca2+ concentration. Astrocytic depolarization by high extracellular K+ increased the frequency of the Ca2+ events through activation of voltage-gated Ca2+ channels (VGCC) in cultured astrocytes. Our results suggest that the morphological profile of the astrocytic processes is responsible for tuning of the Ca2+ event frequency. Therefore, the structural plasticity of astrocytic processes can be directly translated into changes in astrocytic Ca2+ signaling. This may be important for both physiological and pathological astrocyte remodeling.\n\nMain pointsO_LIMajority of spontaneous Ca2+ events start in thin astrocytic processes\nC_LIO_LIHigher surface-to-volume ratio of the process is responsible for larger intracellular Ca2+ fluctuations\nC_LIO_LILarger intracellular Ca2+ fluctuations trigger Ca2+-dependent Ca2+ release\nC_LI

neuroscience

Stout camphor tree genome fills gaps in understanding of flowering plant genome and gene family evolution

We present reference-quality genome assembly and annotation for the stout camphor tree (SCT; Cinnamomum kanehirae [Laurales, Lauraceae]), the first sequenced member of the Magnoliidae comprising four orders (Laurales, Magnoliales, Canellales, and Piperales) and over 9,000 species. Phylogenomic analysis of 13 representative seed plant genomes indicates that magnoliid and eudicot lineages share more recent common ancestry relative to monocots. Two whole genome duplication events were inferred within the magnoliid lineage, one before divergence of Laurales and Magnoliales and the other within the Lauraceae. Small scale segmental duplications and tandem duplications also contributed to innovation in the evolutionary history of Cinnamomum. For example, expansion of terpenoid synthase subfamilies within the Laurales spawned the diversity of Cinnamomum monoterpenes and sesquiterpenes.

genomics

Plasmid DNA analysis of pristine groundwater microbial communities reveal extensive presence of metal resistance genes

Native plasmids constitute a major category of extrachromosomal DNA elements responsible for harboring and transferring genes important in survival and fitness. A focused evaluation of plasmidomes can reveal unique adaptations required by microbial communities. We examined the plasmid DNA from two pristine wells at the Oak Ridge Field Research Center. Using a cultivation-free method that targets plasmid DNA, a total of 42,440 and 32,232 (including 67 and 548 complete circular units) scaffolds > 2 kb were obtained from the two wells. The taxonomic distribution of bacteria in the two wells showed greater similarity based on their plasmidome sequence, relative to 16S rRNA sequence comparison. This similarity is also evident in the plasmid encoded functional genes. Among functionally annotated genes, candidates providing resistance to copper, zinc, cadmium, arsenic, and mercury were particularly abundant and common to the plasmidome of both wells. The primary function encoded by the most abundant circularized plasmid, common to both wells, was mercury resistance, even though the current ground water does not contain detectable levels of mercury. This study reveals that the plasmidome can have a unique ecological role in maintaining the latent capacity of a microbiome enabling rapid adaptation to environmental stresses.

microbiology

Critical Assessment of Metagenome Interpretation - a benchmark of computational metagenomics software

In metagenome analysis, computational methods for assembly, taxonomic profiling and binning are key components facilitating downstream biological data interpretation. However, a lack of consensus about benchmarking datasets and evaluation metrics complicates proper performance assessment. The Critical Assessment of Metagenome Interpretation (CAMI) challenge has engaged the global developer community to benchmark their programs on datasets of unprecedented complexity and realism. Benchmark metagenomes were generated from ~700 newly sequenced microorganisms and ~600 novel viruses and plasmids, including genomes with varying degrees of relatedness to each other and to publicly available ones and representing common experimental setups. Across all datasets, assembly and genome binning programs performed well for species represented by individual genomes, while performance was substantially affected by the presence of related strains. Taxonomic profiling and binning programs were proficient at high taxonomic ranks, with a notable performance decrease below the family level. Parameter settings substantially impacted performances, underscoring the importance of program reproducibility. While highlighting current challenges in computational metagenomics, the CAMI results provide a roadmap for software selection to answer specific research questions.

bioinformatics