Literature DB >> 29932624

Assessing the Efficiency of Cultivation Techniques To Recover Natural Product Biosynthetic Gene Populations from Sediment.

Maryam Elfeki, Mohammad Alanjary1, Stefan J Green, Nadine Ziemert1, Brian T Murphy.   

Abstract

Despite decades of cultivating microorganisms for use in drug discovery, few attempts have been made to measure the extent to which common cultivation techniques have accessed existing chemical space. Metagenomic studies have shown that cultivable bacteria represent a fraction of those that exist in the environment, and that uncultivated populations in sediment have genes that encode for a high diversity of novel natural product (NP) biosynthetic enzymes. Quantifying these genes in both sediment and cultivatable bacterial populations allows us to assess how much diversity is present on nutrient agar and is critical to guiding the trajectory of future NP discovery platforms. Herein, we employed next-generation amplicon sequencing to assess the NP biosynthetic gene populations present in two Lake Huron sediment samples, and compared these with populations from their corresponding cultivatable bacteria. We highlight three findings from our study: (1) after cultivation, we recovered between 7.7% and 23% of three common types of NP biosynthetic genes from the original sediment population; (2) between 76.3% and 91.5% of measured NP biosynthetic genes from nutrient agar have yet to be characterized in known biosynthetic gene cluster databases, indicating that readily cultivatable bacteria harbor the potential to produce new NPs; and (3) even though the predominant taxa present on nutrient media represented some of the major producers of bacterial NPs, the sediment harbored a significantly greater pool of NP biosynthetic genes that could be mined for structural novelty, and these likely belong to taxa that typically have not been represented in microbial drug discovery libraries.

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Year:  2018        PMID: 29932624     DOI: 10.1021/acschembio.8b00254

Source DB:  PubMed          Journal:  ACS Chem Biol        ISSN: 1554-8929            Impact factor:   5.100


  9 in total

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2.  Microbial diversity in tropical marine sediments assessed using culture-dependent and culture-independent techniques.

Authors:  Alyssa M Demko; Nastassia V Patin; Paul R Jensen
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3.  The Natural Product Domain Seeker version 2 (NaPDoS2) webtool relates ketosynthase phylogeny to biosynthetic function.

Authors:  Leesa J Klau; Sheila Podell; Kaitlin E Creamer; Alyssa M Demko; Hans W Singh; Eric E Allen; Bradley S Moore; Nadine Ziemert; Anne Catrin Letzel; Paul R Jensen
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4.  Great diversity of KSα sequences from bat-associated microbiota suggests novel sources of uncharacterized natural products.

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5.  Addition of insoluble fiber to isolation media allows for increased metabolite diversity of lab-cultivable microbes derived from zebrafish gut samples.

Authors:  Alanna R Condren; Maria S Costa; Natalia Rivera Sanchez; Sindhu Konkapaka; Kristin L Gallik; Ankur Saxena; Brian T Murphy; Laura M Sanchez
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6.  The need to innovate sample collection and library generation in microbial drug discovery: a focus on academia.

Authors:  Antonio Hernandez; Linh T Nguyen; Radhika Dhakal; Brian T Murphy
Journal:  Nat Prod Rep       Date:  2021-03-04       Impact factor: 13.423

7.  Evaluating the Distribution of Bacterial Natural Product Biosynthetic Genes across Lake Huron Sediment.

Authors:  Maryam Elfeki; Shrikant Mantri; Chase M Clark; Stefan J Green; Nadine Ziemert; Brian T Murphy
Journal:  ACS Chem Biol       Date:  2021-10-04       Impact factor: 5.100

8.  Two-Dimensional Cell Separation: a High-Throughput Approach to Enhance the Culturability of Bacterial Cells from Environmental Samples.

Authors:  Krishna K Yadav; Yogesh Nimonkar; Bhagyashri J Poddar; Lochana Kovale; Isita Sagar; Yogesh Shouche; Hemant J Purohit; Anshuman A Khardenavis; Stefan J Green; Om Prakash
Journal:  Microbiol Spectr       Date:  2022-04-25

9.  Marine Sediments Hold an Untapped Potential for Novel Taxonomic and Bioactive Bacterial Diversity.

Authors:  Pernille Kjersgaard Bech; Klaus Lars Lysdal; Lone Gram; Mikkel Bentzon-Tilia; Mikael Lenz Strube
Journal:  mSystems       Date:  2020-09-15       Impact factor: 6.496

  9 in total

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