Literature DB >> 32826213

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

Mitchell G Thompson1,2,3, Matthew R Incha1,2,4, Allison N Pearson1,2,4, Matthias Schmidt1,2,5, William A Sharpless1,2, Christopher B Eiben1,2,6, Pablo Cruz-Morales1,2,7, Jacquelyn M Blake-Hedges1,2,8, Yuzhong Liu1,2, Catharine A Adams2, Robert W Haushalter1,2, Rohith N Krishna1,2, Patrick Lichtner1,2, Lars M Blank5, Aindrila Mukhopadhyay1,2, Adam M Deutschbauer4,9, Patrick M Shih10,2,3,11, Jay D Keasling10,2,6,12,13,14,15.   

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 yields.IMPORTANCE 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.
Copyright © 2020 American Society for Microbiology.

Entities:  

Keywords:  Fatty acid; Pseudomonas putidazzm321990; RB–Tn-Seq; transposon

Mesh:

Substances:

Year:  2020        PMID: 32826213      PMCID: PMC7580535          DOI: 10.1128/AEM.01665-20

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  80 in total

1.  Mechanisms of resistance to chloramphenicol in Pseudomonas putida KT2440.

Authors:  Matilde Fernández; Susana Conde; Jesús de la Torre; Carlos Molina-Santiago; Juan-Luis Ramos; Estrella Duque
Journal:  Antimicrob Agents Chemother       Date:  2011-12-05       Impact factor: 5.191

Review 2.  The TOL (pWW0) catabolic plasmid.

Authors:  R S Burlage; S W Hooper; G S Sayler
Journal:  Appl Environ Microbiol       Date:  1989-06       Impact factor: 4.792

3.  The BioCyc collection of microbial genomes and metabolic pathways.

Authors:  Peter D Karp; Richard Billington; Ron Caspi; Carol A Fulcher; Mario Latendresse; Anamika Kothari; Ingrid M Keseler; Markus Krummenacker; Peter E Midford; Quang Ong; Wai Kit Ong; Suzanne M Paley; Pallavi Subhraveti
Journal:  Brief Bioinform       Date:  2019-07-19       Impact factor: 11.622

4.  Molecular basis of substrate recognition in D-3-hydroxybutyrate dehydrogenase from Pseudomonas putida.

Authors:  Claudia Feller; Robert Günther; Hans-Jörg Hofmann; Marlis Grunow
Journal:  Chembiochem       Date:  2006-09       Impact factor: 3.164

Review 5.  Engineering of natural product biosynthesis in Pseudomonas putida.

Authors:  Anita Loeschcke; Stephan Thies
Journal:  Curr Opin Biotechnol       Date:  2020-06-01       Impact factor: 9.740

6.  Probing enzyme promiscuity of SGNH hydrolases.

Authors:  Ivana Leščić Ašler; Nives Ivić; Filip Kovačić; Sabrina Schell; Janina Knorr; Ulrich Krauss; Susanne Wilhelm; Biserka Kojić-Prodić; Karl-Erich Jaeger
Journal:  Chembiochem       Date:  2010-10-18       Impact factor: 3.164

7.  Non-fermentative pathways for synthesis of branched-chain higher alcohols as biofuels.

Authors:  Shota Atsumi; Taizo Hanai; James C Liao
Journal:  Nature       Date:  2008-01-03       Impact factor: 49.962

8.  PaperBLAST: Text Mining Papers for Information about Homologs.

Authors:  Morgan N Price; Adam P Arkin
Journal:  mSystems       Date:  2017-08-15       Impact factor: 6.496

9.  Omics-driven identification and elimination of valerolactam catabolism in Pseudomonas putida KT2440 for increased product titer.

Authors:  Mitchell G Thompson; Luis E Valencia; Jacquelyn M Blake-Hedges; Pablo Cruz-Morales; Alexandria E Velasquez; Allison N Pearson; Lauren N Sermeno; William A Sharpless; Veronica T Benites; Yan Chen; Edward E K Baidoo; Christopher J Petzold; Adam M Deutschbauer; Jay D Keasling
Journal:  Metab Eng Commun       Date:  2019-08-10

10.  Designer rhamnolipids by reduction of congener diversity: production and characterization.

Authors:  Till Tiso; Rabea Zauter; Hannah Tulke; Bernd Leuchtle; Wing-Jin Li; Beate Behrens; Andreas Wittgens; Frank Rosenau; Heiko Hayen; Lars Mathias Blank
Journal:  Microb Cell Fact       Date:  2017-12-14       Impact factor: 5.328

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  3 in total

1.  Nitrogen Metabolism in Pseudomonas putida: Functional Analysis Using Random Barcode Transposon Sequencing.

Authors:  Matthias Schmidt; Allison N Pearson; Matthew R Incha; Mitchell G Thompson; Edward E K Baidoo; Ramu Kakumanu; Aindrila Mukhopadhyay; Patrick M Shih; Adam M Deutschbauer; Lars M Blank; Jay D Keasling
Journal:  Appl Environ Microbiol       Date:  2022-03-14       Impact factor: 5.005

Review 2.  Microbial production of advanced biofuels.

Authors:  Jay Keasling; Hector Garcia Martin; Taek Soon Lee; Aindrila Mukhopadhyay; Steven W Singer; Eric Sundstrom
Journal:  Nat Rev Microbiol       Date:  2021-06-25       Impact factor: 60.633

3.  Bioproduction of propionic acid using levulinic acid by engineered Pseudomonas putida.

Authors:  Rameshwar Tiwari; Chandran Sathesh-Prabu; Sung Kuk Lee
Journal:  Front Bioeng Biotechnol       Date:  2022-08-10
  3 in total

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