Literature DB >> 18778739

A procedure for the metagenomics exploration of disease-suppressive soils.

J D van Elsas1, A J Speksnijder, L S van Overbeek.   

Abstract

The microbiota of, in particular, disease-suppressive soils contains a wealth of antibiotic biosynthetic loci that are inaccessible by traditional cultivation-based techniques. Hence, we developed a methodology based on soil microbial DNA, which allowed the metagenomics-based unlocking of the relevant genes. Here, a streamlined soil metagenomics protocol is presented. The protocol consists of an optimized method to extract bacterial cells from a Rhizoctonia solani AG3 suppressive loamy sand soil followed by DNA extraction and purification, and the preparation of a clone library in an efficient host/vector system. Methods for the functional and genetic screening of the library for antibiotic production loci are also described. Using the suppressive soil, we thus produced, screened and tested an approximate 15,000-membered metagenomic library of fosmids in an Escherichia coli host. Functional screens, based on dual culturing of clone arrays with R. solani AG3 and Bacillus subtilis 168, were largely negative. Genetic screens, based on hybridizations with soil-generated probes for polyketide biosynthesis, non-ribosomal protein synthesis and gacA, revealed several inserts, of around 40-kb in size, with potential antibiotic production capacity. We present the full sequences of three selected clones. We further examine the challenges that still impinge on the metagenomic exploration of disease-suppressive soil.

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Year:  2008        PMID: 18778739     DOI: 10.1016/j.mimet.2008.08.004

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  9 in total

1.  Distinctive bacterial communities in the rhizoplane of four tropical tree species.

Authors:  Yoon Myung Oh; Mincheol Kim; Larisa Lee-Cruz; Ang Lai-Hoe; Rusea Go; N Ainuddin; Raha Abdul Rahim; Noraini Shukor; Jonathan M Adams
Journal:  Microb Ecol       Date:  2012-07-06       Impact factor: 4.552

2.  Comparative analysis of acidobacterial genomic fragments from terrestrial and aquatic metagenomic libraries, with emphasis on acidobacteria subdivision 6.

Authors:  Anna M Kielak; Johannes A van Veen; George A Kowalchuk
Journal:  Appl Environ Microbiol       Date:  2010-08-20       Impact factor: 4.792

3.  Factors associated with the suppressiveness of sugarcane soils to plant-parasitic nematodes.

Authors:  Graham R Stirling; Emily Rames; A Marcelle Stirling; Sharon Hamill
Journal:  J Nematol       Date:  2011-09       Impact factor: 1.402

4.  Signal processing for metagenomics: extracting information from the soup.

Authors:  Gail L Rosen; Bahrad A Sokhansanj; Robi Polikar; Mary Ann Bruns; Jacob Russell; Elaine Garbarine; Steve Essinger; Non Yok
Journal:  Curr Genomics       Date:  2009-11       Impact factor: 2.236

Review 5.  The great screen anomaly--a new frontier in product discovery through functional metagenomics.

Authors:  David Matthias Ekkers; Mariana Silvia Cretoiu; Anna Maria Kielak; Jan Dirk van Elsas
Journal:  Appl Microbiol Biotechnol       Date:  2011-12-22       Impact factor: 4.813

6.  A novel salt-tolerant chitobiosidase discovered by genetic screening of a metagenomic library derived from chitin-amended agricultural soil.

Authors:  Mariana Silvia Cretoiu; Francesca Berini; Anna Maria Kielak; Flavia Marinelli; Jan Dirk van Elsas
Journal:  Appl Microbiol Biotechnol       Date:  2015-06-04       Impact factor: 4.813

7.  Inhibition of the growth of Bacillus subtilis DSM10 by a newly discovered antibacterial protein from the soil metagenome.

Authors:  Mark M O'Mahony; Ruth Henneberger; Joseph Selvin; Jonathan Kennedy; Fiona Doohan; Julian R Marchesi; Alan D W Dobson
Journal:  Bioengineered       Date:  2015       Impact factor: 3.269

8.  A Droplet Microfluidics Based Platform for Mining Metagenomic Libraries for Natural Compounds.

Authors:  Elias Theodorou; Randall Scanga; Mariusz Twardowski; Michael P Snyder; Eric Brouzes
Journal:  Micromachines (Basel)       Date:  2017-07-25       Impact factor: 2.891

9.  Data on metagenomic profiles of bacterial endophyte communities associated with Dicoma anomala.

Authors:  Mehabo Penistacia Maela; Mahloro Hope Serepa-Dlamini
Journal:  Data Brief       Date:  2022-03-28
  9 in total

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