A synthetic Calvin cycle enables autotrophic growth in yeast, bioRxiv, 2019-12-03

AbstractThe methylotrophic yeast Pichia pastoris is frequently used for heterologous protein production and it assimilates methanol efficiently via the xylulose-5-phosphate pathway. This pathway is entirely localized in the peroxisomes and has striking similarities to the Calvin-Benson-Bassham (CBB) cycle, which is used by a plethora of organisms like plants to assimilate CO2 and is likewise compartmentalized in chloroplasts. By metabolic engineering the methanol assimilation pathway of P. pastoris was re-wired to a CO2 fixation pathway resembling the CBB cycle. This new yeast strain efficiently assimilates CO2 into biomass and utilizes it as its sole carbon source, which changes the lifestyle from heterotrophic to autotrophic.In total eight genes, including genes encoding for RuBisCO and phosphoribulokinase, were integrated into the genome of P. pastoris, while three endogenous genes were deleted to block methanol assimilation. The enzymes necessary for the synthetic CBB cycle were targeted to the peroxisome. Methanol oxidation, which yields NADH, is employed for energy generation defining the lifestyle as chemoorganoautotrophic. This work demonstrates that the lifestyle of an organism can be changed from chemoorganoheterotrophic to chemoorganoautotrophic by metabolic engineering. The resulting strain can grow exponentially and perform multiple cell doublings on CO2 as sole carbon source with a µmax of 0.008 h−1.Graphical Abstract<jatsfig id=ufig1 position=float fig-type=figure orientation=portrait><jatsgraphic xmlnsxlink=httpwww.w3.org1999xlink xlinkhref=862599v1_ufig1 position=float orientation=portrait >

biorxiv synthetic-biology 100-200-users 2019

SparK A Publication-quality NGS Visualization Tool, bioRxiv, 2019-11-17

AbstractWhile there are sophisticated resources available for displaying NGS data, including the Integrative Genomics Viewer (IGV) and the UCSC genome browser, exporting regions and assembling figures for publication remains challenging. In particular, customizing track appearance and overlaying track replicates is a manual and time-consuming process. Here, we present SparK, a tool which auto-generates publication-ready, high-resolution, true vector graphic figures from any NGS-based tracks, including RNA-seq, ChIP-seq, and ATAC-seq. Novel functions of SparK include averaging of replicates, plotting standard deviation tracks, and highlighting significantly changed areas. SparK is written in Python 3, making it executable on any major OS platform. Using command line prompts to generate figures allows later changes to be made very easy. For instance, if the genomic region of the plot needs to be changed, or tracks need to be added or removed, the figure can easily be re-generated within seconds without the manual process of re-exporting and re-assembling everything. After plotting with SparK, changes to the output SVG vector graphic files are simple to make, including text, lines, and colors. SparK is publicly available on GitHub <jatsext-link xmlnsxlink=httpwww.w3.org1999xlink ext-link-type=uri xlinkhref=httpsgithub.comharbourlabSparK>httpsgithub.comharbourlabSparK<jatsext-link>.

biorxiv bioinformatics 100-200-users 2019

 

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