Literature DB >> 35906440

System analysis of Lipomyces starkeyi during growth on various plant-based sugars.

Anshu Deewan1,2, Jing-Jing Liu1, Sujit Sadashiv Jagtap1,2, Eun Ju Yun1,3, Hanna Walukiewicz1,2, Yong-Su Jin1,4, Christopher V Rao5,6.   

Abstract

Oleaginous yeasts have received significant attention due to their substantial lipid storage capability. The accumulated lipids can be utilized directly or processed into various bioproducts and biofuels. Lipomyces starkeyi is an oleaginous yeast capable of using multiple plant-based sugars, such as glucose, xylose, and cellobiose. It is, however, a relatively unexplored yeast due to limited knowledge about its physiology. In this study, we have evaluated the growth of L. starkeyi on different sugars and performed transcriptomic and metabolomic analyses to understand the underlying mechanisms of sugar metabolism. Principal component analysis showed clear differences resulting from growth on different sugars. We have further reported various metabolic pathways activated during growth on these sugars. We also observed non-specific regulation in L. starkeyi and have updated the gene annotations for the NRRL Y-11557 strain. This analysis provides a foundation for understanding the metabolism of these plant-based sugars and potentially valuable information to guide the metabolic engineering of L. starkeyi to produce bioproducts and biofuels. KEY POINTS: • L. starkeyi metabolism reprograms for consumption of different plant-based sugars. • Non-specific regulation was observed during growth on cellobiose. • L. starkeyi secretes β-glucosidases for extracellular hydrolysis of cellobiose.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Anshu Deewan and Jing-Jing Liu contributed equally to this work; Lipomyces starkeyi; Metabolomics; Oleaginous yeast; RNA sequencing; Sugar uptake; Transcriptomics

Mesh:

Substances:

Year:  2022        PMID: 35906440     DOI: 10.1007/s00253-022-12084-w

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   5.560


  55 in total

1.  Agrobacterium tumefaciens-mediated transformation of oleaginous yeast Lipomyces species.

Authors:  Ziyu Dai; Shuang Deng; David E Culley; Kenneth S Bruno; Jon K Magnuson
Journal:  Appl Microbiol Biotechnol       Date:  2017-06-19       Impact factor: 4.813

2.  Identification, soluble expression, and characterization of a novel endo-inulinase from Lipomyces starkeyi NRRL Y-11557.

Authors:  Min Bao; Chengtuo Niu; Xin Xu; Feiyun Zheng; Chunfeng Liu; Jinjing Wang; Qi Li
Journal:  Int J Biol Macromol       Date:  2019-06-22       Impact factor: 6.953

3.  STAR: ultrafast universal RNA-seq aligner.

Authors:  Alexander Dobin; Carrie A Davis; Felix Schlesinger; Jorg Drenkow; Chris Zaleski; Sonali Jha; Philippe Batut; Mark Chaisson; Thomas R Gingeras
Journal:  Bioinformatics       Date:  2012-10-25       Impact factor: 6.937

4.  Co-fermentation of cellobiose and xylose by Lipomyces starkeyi for lipid production.

Authors:  Zhiwei Gong; Qian Wang; Hongwei Shen; Cuimin Hu; Guojie Jin; Zongbao K Zhao
Journal:  Bioresour Technol       Date:  2012-04-25       Impact factor: 9.642

Review 5.  Oily yeasts as oleaginous cell factories.

Authors:  Jose Manuel Ageitos; Juan Andres Vallejo; Patricia Veiga-Crespo; Tomas G Villa
Journal:  Appl Microbiol Biotechnol       Date:  2011-04-05       Impact factor: 4.813

6.  An optimized transformation protocol for Lipomyces starkeyi.

Authors:  Christopher H Calvey; Laura B Willis; Thomas W Jeffries
Journal:  Curr Genet       Date:  2014-04-12       Impact factor: 3.886

7.  Nitrogen limitation, oxygen limitation, and lipid accumulation in Lipomyces starkeyi.

Authors:  Christopher H Calvey; Yi-Kai Su; Laura B Willis; McSean McGee; Thomas W Jeffries
Journal:  Bioresour Technol       Date:  2015-11-04       Impact factor: 9.642

8.  DeepLoc: prediction of protein subcellular localization using deep learning.

Authors:  José Juan Almagro Armenteros; Casper Kaae Sønderby; Søren Kaae Sønderby; Henrik Nielsen; Ole Winther
Journal:  Bioinformatics       Date:  2017-11-01       Impact factor: 6.937

9.  Oleaginous yeasts respond differently to carbon sources present in lignocellulose hydrolysate.

Authors:  Jule Brandenburg; Johanna Blomqvist; Volha Shapaval; Achim Kohler; Sabine Sampels; Mats Sandgren; Volkmar Passoth
Journal:  Biotechnol Biofuels       Date:  2021-05-29       Impact factor: 6.040

10.  Trimmomatic: a flexible trimmer for Illumina sequence data.

Authors:  Anthony M Bolger; Marc Lohse; Bjoern Usadel
Journal:  Bioinformatics       Date:  2014-04-01       Impact factor: 6.937

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