Literature DB >> 16488600

Fungal metabolite analysis in genomics and phenomics.

Michael C Jewett1, Gerald Hofmann, Jens Nielsen.   

Abstract

Metabolomics consists of strategies to quantitatively identify cellular metabolites and to understand how trafficking of these biochemical messengers through the metabolic network influences phenotype. The application of metabolomics to fungi has been strongly pursued because these organisms are widely used for the production of chemicals, are well known for their diverse metabolic landscape and serve as excellent eukaryotic model organisms for studying metabolism and systems biology. Within the context of fungal systems, recent progress has been made in the development of analytical tools and mathematical strategies used in metabolite analysis that have enhanced our ability to crack the code underpinning the cellular inventory, regulatory schemes and communication mechanisms that dictate cellular function. Metabolomics has played a key role in functional genomics and strain classification.

Mesh:

Year:  2006        PMID: 16488600     DOI: 10.1016/j.copbio.2006.02.001

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  16 in total

1.  Linking high-resolution metabolic flux phenotypes and transcriptional regulation in yeast modulated by the global regulator Gcn4p.

Authors:  Joel F Moxley; Michael C Jewett; Maciek R Antoniewicz; Silas G Villas-Boas; Hal Alper; Robert T Wheeler; Lily Tong; Alan G Hinnebusch; Trey Ideker; Jens Nielsen; Gregory Stephanopoulos
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-03       Impact factor: 11.205

Review 2.  The re-emergence of natural products for drug discovery in the genomics era.

Authors:  Alan L Harvey; RuAngelie Edrada-Ebel; Ronald J Quinn
Journal:  Nat Rev Drug Discov       Date:  2015-01-23       Impact factor: 84.694

3.  Use of 1H nuclear magnetic resonance to measure intracellular metabolite levels during growth and asexual sporulation in Neurospora crassa.

Authors:  James D Kim; Kayla Kaiser; Cynthia K Larive; Katherine A Borkovich
Journal:  Eukaryot Cell       Date:  2011-04-01

4.  Comparative metabolomics provides novel insights into the basis of petiole color differences in celery (Apiumgraveolens L.).

Authors:  Mengyao Li; Jie Li; Haohan Tan; Ya Luo; Yong Zhang; Qing Chen; Yan Wang; Yuanxiu Lin; Yunting Zhang; Xiaorong Wang; Haoru Tang
Journal:  J Zhejiang Univ Sci B       Date:  2022-04-15       Impact factor: 3.066

5.  Major impacts on the primary metabolism of the plant pathogen Cryphonectria parasitica by the virulence-attenuating virus CHV1-EP713.

Authors:  Angus L Dawe; Wayne A Van Voorhies; Tannia A Lau; Alexander V Ulanov; Zhong Li
Journal:  Microbiology (Reading)       Date:  2009-07-09       Impact factor: 2.777

Review 6.  Customized yeast cell factories for biopharmaceuticals: from cell engineering to process scale up.

Authors:  Aravind Madhavan; K B Arun; Raveendran Sindhu; Jayaram Krishnamoorthy; R Reshmy; Ranjna Sirohi; Arivalagan Pugazhendi; Mukesh Kumar Awasthi; George Szakacs; Parameswaran Binod
Journal:  Microb Cell Fact       Date:  2021-06-30       Impact factor: 5.328

7.  Scope and limitations of yeast as a model organism for studying human tissue-specific pathways.

Authors:  Shahin Mohammadi; Baharak Saberidokht; Shankar Subramaniam; Ananth Grama
Journal:  BMC Syst Biol       Date:  2015-12-29

8.  Time Course Exo-Metabolomic Profiling in the Green Marine Macroalga Ulva (Chlorophyta) for Identification of Growth Phase-Dependent Biomarkers.

Authors:  Taghreed Alsufyani; Anne Weiss; Thomas Wichard
Journal:  Mar Drugs       Date:  2017-01-10       Impact factor: 5.118

9.  High-Throughput Screening of Biodiversity for Antibiotic Discovery.

Authors:  S S Terekhov; I A Osterman; I V Smirnov
Journal:  Acta Naturae       Date:  2018 Jul-Sep       Impact factor: 1.845

10.  A metabolomics and proteomics study of the Lactobacillus plantarum in the grass carp fermentation.

Authors:  Tinghong Ming; Jiaojiao Han; Yanyan Li; Chenyang Lu; Dihong Qiu; Ye Li; Jun Zhou; Xiurong Su
Journal:  BMC Microbiol       Date:  2018-12-18       Impact factor: 3.605

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