Literature DB >> 19442689

Suppression subtractive hybridisation allows selective sampling of metagenomic subsets of interest.

Yi Vee Chew1, Andrew J Holmes.   

Abstract

Metagenomic studies bypass the requirement of a pure culture for analysis, focusing instead on the genetic information present in a given sample. Metagenomics have been applied to various studies, with objectives ranging from genome reconstruction, gene prospecting and ecology. However, the use of metagenomics in comparative studies has been constrained by sequencing costs and computational limitations. Efforts are underway to improve current sequencing methods and reduce the expense involved. We suggest an alternative approach - pretreatment of the sample of interest to enrich for desired subsets prior to deep sequencing. In this study, we tested the use of suppression subtractive hybridisation (SSH) for in vitro separation of metagenomic samples based on temporal variance. Faecal samples were taken from pigs at different timepoints and extracted DNA was whole genome-amplified using multiple displacement amplification (MDA). A sample collected at 31 days of age was designated the tester while a 24 day sample was denoted the driver. Following hybridisation and subtraction, tester-specific sequences are expected to be enriched in the final sample while driver-specific and common sequences are removed. Using denaturing gel gradient electrophoresis (DGGE), we found that driver-specific bands were completely removed from all final profiles while an average of 70% of common bands were successfully subtracted. Final profiles retained an average of 70% of tester-specific sequences and new sequences contributed an average of 36% of the band mobilities found in the final profiles. Tester-unique sequences were inferred to make up 78% of the final profile after SSH. We expect that using subtractive hybridisation for separation of metagenomic samples into desired subsets will provide a more effective and targeted approach to comparative studies.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19442689     DOI: 10.1016/j.mimet.2009.05.003

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


  5 in total

Review 1.  Recent application of metagenomic approaches toward the discovery of antimicrobials and other bioactive small molecules.

Authors:  Jacob J Banik; Sean F Brady
Journal:  Curr Opin Microbiol       Date:  2010-09-29       Impact factor: 7.934

Review 2.  Recovering full-length viral genomes from metagenomes.

Authors:  Saskia L Smits; Rogier Bodewes; Aritz Ruiz-González; Wolfgang Baumgärtner; Marion P Koopmans; Albert D M E Osterhaus; Anita C Schürch
Journal:  Front Microbiol       Date:  2015-10-01       Impact factor: 5.640

Review 3.  An introduction to the analysis of shotgun metagenomic data.

Authors:  Thomas J Sharpton
Journal:  Front Plant Sci       Date:  2014-06-16       Impact factor: 5.753

4.  Assembly of viral genomes from metagenomes.

Authors:  Saskia L Smits; Rogier Bodewes; Aritz Ruiz-Gonzalez; Wolfgang Baumgärtner; Marion P Koopmans; Albert D M E Osterhaus; Anita C Schürch
Journal:  Front Microbiol       Date:  2014-12-18       Impact factor: 5.640

Review 5.  Advances in Metagenomics and Its Application in Environmental Microorganisms.

Authors:  Lu Zhang; FengXin Chen; Zhan Zeng; Mengjiao Xu; Fangfang Sun; Liu Yang; Xiaoyue Bi; Yanjie Lin; YuanJiao Gao; HongXiao Hao; Wei Yi; Minghui Li; Yao Xie
Journal:  Front Microbiol       Date:  2021-12-17       Impact factor: 5.640

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.