Literature DB >> 32393943

Linking genomics and metabolomics to chart specialized metabolic diversity.

Justin J J van der Hooft1, Hosein Mohimani, Anelize Bauermeister, Pieter C Dorrestein, Katherine R Duncan, Marnix H Medema.   

Abstract

Microbial and plant specialized metabolites constitute an immense chemical diversity, and play key roles in mediating ecological interactions between organisms. Also referred to as natural products, they have been widely applied in medicine, agriculture, cosmetic and food industries. Traditionally, the main discovery strategies have centered around the use of activity-guided fractionation of metabolite extracts. Increasingly, omics data is being used to complement this, as it has the potential to reduce rediscovery rates, guide experimental work towards the most promising metabolites, and identify enzymatic pathways that enable their biosynthetic production. In recent years, genomic and metabolomic analyses of specialized metabolic diversity have been scaled up to study thousands of samples simultaneously. Here, we survey data analysis technologies that facilitate the effective exploration of large genomic and metabolomic datasets, and discuss various emerging strategies to integrate these two types of omics data in order to further accelerate discovery.

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Year:  2020        PMID: 32393943     DOI: 10.1039/d0cs00162g

Source DB:  PubMed          Journal:  Chem Soc Rev        ISSN: 0306-0012            Impact factor:   54.564


  33 in total

Review 1.  Metabolomics and genomics in natural products research: complementary tools for targeting new chemical entities.

Authors:  Lindsay K Caesar; Rana Montaser; Nancy P Keller; Neil L Kelleher
Journal:  Nat Prod Rep       Date:  2021-11-17       Impact factor: 13.423

Review 2.  Advancements in capturing and mining mass spectrometry data are transforming natural products research.

Authors:  Scott A Jarmusch; Justin J J van der Hooft; Pieter C Dorrestein; Alan K Jarmusch
Journal:  Nat Prod Rep       Date:  2021-11-17       Impact factor: 13.423

3.  Sample Preparation, Data Acquisition, and Data Analysis for 15N-Labeled and Nonlabeled Monoterpene Indole Alkaloids in Catharanthus roseus.

Authors:  Ryo Nakabayashi
Journal:  Methods Mol Biol       Date:  2022

4.  Chemometrics and genome mining reveal an unprecedented family of sugar acid-containing fungal nonribosomal cyclodepsipeptides.

Authors:  Chen Wang; Dongliang Xiao; Baoqing Dun; Miaomiao Yin; Adigo Setargie Tsega; Linan Xie; Wenhua Li; Qun Yue; Sibao Wang; Han Gao; Min Lin; Liwen Zhang; István Molnár; Yuquan Xu
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-01       Impact factor: 12.779

Review 5.  Mining genomes to illuminate the specialized chemistry of life.

Authors:  Marnix H Medema; Tristan de Rond; Bradley S Moore
Journal:  Nat Rev Genet       Date:  2021-06-03       Impact factor: 53.242

6.  Ranking microbial metabolomic and genomic links in the NPLinker framework using complementary scoring functions.

Authors:  Grímur Hjörleifsson Eldjárn; Andrew Ramsay; Justin J J van der Hooft; Katherine R Duncan; Sylvia Soldatou; Juho Rousu; Rónán Daly; Joe Wandy; Simon Rogers
Journal:  PLoS Comput Biol       Date:  2021-05-04       Impact factor: 4.475

7.  antiSMASH 6.0: improving cluster detection and comparison capabilities.

Authors:  Kai Blin; Simon Shaw; Alexander M Kloosterman; Zach Charlop-Powers; Gilles P van Wezel; Marnix H Medema; Tilmann Weber
Journal:  Nucleic Acids Res       Date:  2021-07-02       Impact factor: 16.971

8.  Global analysis of biosynthetic gene clusters reveals conserved and unique natural products in entomopathogenic nematode-symbiotic bacteria.

Authors:  Yi-Ming Shi; Merle Hirschmann; Yan-Ni Shi; Shabbir Ahmed; Desalegne Abebew; Nicholas J Tobias; Peter Grün; Jan J Crames; Laura Pöschel; Wolfgang Kuttenlochner; Christian Richter; Jennifer Herrmann; Rolf Müller; Aunchalee Thanwisai; Sacha J Pidot; Timothy P Stinear; Michael Groll; Yonggyun Kim; Helge B Bode
Journal:  Nat Chem       Date:  2022-04-25       Impact factor: 24.274

9.  Rhodococcus comparative genomics reveals a phylogenomic-dependent non-ribosomal peptide synthetase distribution: insights into biosynthetic gene cluster connection to an orphan metabolite.

Authors:  Agustina Undabarrena; Ricardo Valencia; Andrés Cumsille; Leonardo Zamora-Leiva; Eduardo Castro-Nallar; Francisco Barona-Gomez; Beatriz Cámara
Journal:  Microb Genom       Date:  2021-07

Review 10.  Mining and unearthing hidden biosynthetic potential.

Authors:  Kirstin Scherlach; Christian Hertweck
Journal:  Nat Commun       Date:  2021-06-23       Impact factor: 14.919

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