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Fatty Acid and Alcohol Metabolism in Pseudomonas putida: Functional Analysis Using Random Barcode Transposon Sequencing.

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TLDR
Functional evidence for the putative roles of hundreds of genes involved in the fatty acid and alcohol metabolism of the Pseudomonas putida bacterium is provided, providing a framework facilitating precise genetic changes to prevent product degradation and to channel the flux of specific pathway intermediates as desired.
Abstract
With its ability to catabolize a wide variety of carbon sources and a growing engineering toolkit, Pseudomonas putida KT2440 is emerging as an important chassis organism for metabolic engineering Despite advances in our understanding of the organism, many gaps remain in our knowledge of the genetic basis of its metabolic capabilities The gaps are particularly noticeable in our understanding of both fatty acid and alcohol catabolism, where many paralogs putatively coding for similar enzymes coexist, making biochemical assignment via sequence homology difficult To rapidly assign function to the enzymes responsible for these metabolisms, we leveraged random barcode transposon sequencing (RB-Tn-Seq) Global fitness analyses of transposon libraries grown on 13 fatty acids and 10 alcohols produced strong phenotypes for hundreds of genes Fitness data from mutant pools grown on fatty acids of varying chain lengths indicated specific enzyme substrate preferences and enabled us to hypothesize that DUF1302/DUF1329 family proteins potentially function as esterases From the data, we also postulate catabolic routes for the two biogasoline molecules isoprenol and isopentanol, which are catabolized via leucine metabolism after initial oxidation and activation with coenzyme A (CoA) Because fatty acids and alcohols may serve as both feedstocks and final products of metabolic-engineering efforts, the fitness data presented here will help guide future genomic modifications toward higher titers, rates, and yieldsIMPORTANCE To engineer novel metabolic pathways into P putida, a comprehensive understanding of the genetic basis of its versatile metabolism is essential Here, we provide functional evidence for the putative roles of hundreds of genes involved in the fatty acid and alcohol metabolism of the bacterium These data provide a framework facilitating precise genetic changes to prevent product degradation and to channel the flux of specific pathway intermediates as desired

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Microbial production of advanced biofuels

TL;DR: In this paper, the authors discuss the challenges with substrate and product toxicity with regard to host microorganisms and methods to engineer tolerance, and the use of functional genomics and machine learning approaches to produce advanced bio-fuels and prospects for reducing their costs.
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Mixed plastics waste valorization through tandem chemical oxidation and biological funneling

TL;DR: This work shows that metal-catalyzed autoxidation depolymerizes comingled polymers into a mixture of oxygenated small molecules that are advantaged substrates for biological conversion, and engineer a robust soil bacterium to funnel these oxygenated compounds into a single exemplary chemical product.
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Engineering Native and Synthetic Pathways in Pseudomonas putida for the Production of Tailored Polyhydroxyalkanoates

TL;DR: An overview of the metabolic and regulatory circuits that rule PHA accumulation in Pseudomonas putida is provided, and approaches leading to the biosynthesis of novel polymers (e.g., PHAs including nonbiological chemical elements in their structures) are discussed.
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The genetic and ecophysiological diversity of Microcystis.

TL;DR: In this article, the authors synthesize current knowledge on the importance of diversity within Microcystis and on the genes and traits that likely underpin ecological differentiation of taxa, and then compile data on strain-level diversity regarding growth responses to environmental conditions.
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Towards robust Pseudomonas cell factories to harbour novel biosynthetic pathways.

TL;DR: In this paper, the authors discuss major resistance strategies of Pseudomonads along with approaches pursued for their targeted exploitation and engineering in a biotechnological context and highlight strategies for the identification of yet unknown tolerance-associated genes and their utilisation for engineering next-generation chassis and finally discuss effective measures for pathway fine-tuning to establish stable cell factories for the effective production of natural compounds and novel biochemicals.
References
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Journal ArticleDOI

The NumPy Array: A Structure for Efficient Numerical Computation

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Enzymatic assembly of DNA molecules up to several hundred kilobases

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ModelFinder: fast model selection for accurate phylogenetic estimates

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Journal ArticleDOI

The NumPy array: a structure for efficient numerical computation

TL;DR: This effort shows, NumPy performance can be improved through three techniques: vectorizing calculations, avoiding copying data in memory, and minimizing operation counts.
Journal ArticleDOI

A one pot, one step, precision cloning method with high throughput capability.

TL;DR: A cloning strategy called ‘Golden Gate’ cloning was devised that allows to obtain in one tube and one step close to one hundred percent correct recombinant plasmids after just a 5 minute restriction-ligation, thus providing precision for this fundamental process of genetic manipulation.
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