Literature DB >> 24060124

Use of internal standards for quantitative metatranscriptome and metagenome analysis.

Brandon M Satinsky1, Scott M Gifford, Byron C Crump, Mary Ann Moran.   

Abstract

Next generation sequencing-enabled metatranscriptomic and metagenomic datasets are providing unprecedented insights into the functional diversity of microbial communities, allowing detection of the genes present in a community as well as differentiation of those being actively transcribed. An emerging challenge of meta-omics approaches is how to quantitatively compare metagenomes and metatranscriptomes collected across spatial and temporal scales, or among treatments in experimental manipulations. Here, we describe the use of internal DNA and mRNA standards in meta-omics methodologies, and highlight how data collected in an absolute framework (per L or per cell) provides increased comparative power and insight into underlying causes of differences between samples.
© 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Internal standards; Metagenomics; Metatranscriptomics

Mesh:

Substances:

Year:  2013        PMID: 24060124     DOI: 10.1016/B978-0-12-407863-5.00012-5

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  41 in total

1.  Transcriptional response of bathypelagic marine bacterioplankton to the Deepwater Horizon oil spill.

Authors:  Adam R Rivers; Shalabh Sharma; Susannah G Tringe; Jeffrey Martin; Samantha B Joye; Mary Ann Moran
Journal:  ISME J       Date:  2013-08-01       Impact factor: 10.302

2.  Expression patterns of elemental cycling genes in the Amazon River Plume.

Authors:  Brandon M Satinsky; Christa B Smith; Shalabh Sharma; Marine Landa; Patricia M Medeiros; Victoria J Coles; Patricia L Yager; Byron C Crump; Mary Ann Moran
Journal:  ISME J       Date:  2017-04-07       Impact factor: 10.302

3.  Linking patterns of net community production and marine microbial community structure in the western North Atlantic.

Authors:  Seaver Wang; Yajuan Lin; Scott Gifford; Rachel Eveleth; Nicolas Cassar
Journal:  ISME J       Date:  2018-05-01       Impact factor: 10.302

4.  Microspatial gene expression patterns in the Amazon River Plume.

Authors:  Brandon M Satinsky; Byron C Crump; Christa B Smith; Shalabh Sharma; Brian L Zielinski; Mary Doherty; Jun Meng; Shulei Sun; Patricia M Medeiros; John H Paul; Victoria J Coles; Patricia L Yager; Mary Ann Moran
Journal:  Proc Natl Acad Sci U S A       Date:  2014-07-14       Impact factor: 11.205

5.  Transcriptional Control in Marine Copiotrophic and Oligotrophic Bacteria with Streamlined Genomes.

Authors:  Matthew T Cottrell; David L Kirchman
Journal:  Appl Environ Microbiol       Date:  2016-09-16       Impact factor: 4.792

6.  Quantitative microbiome profiling links gut community variation to microbial load.

Authors:  Doris Vandeputte; Gunter Kathagen; Kevin D'hoe; Sara Vieira-Silva; Mireia Valles-Colomer; João Sabino; Jun Wang; Raul Y Tito; Lindsey De Commer; Youssef Darzi; Séverine Vermeire; Gwen Falony; Jeroen Raes
Journal:  Nature       Date:  2017-11-15       Impact factor: 49.962

7.  Microbial metagenomes and metatranscriptomes during a coastal phytoplankton bloom.

Authors:  Brent Nowinski; Christa B Smith; Courtney M Thomas; Kaitlin Esson; Roman Marin; Christina M Preston; James M Birch; Christopher A Scholin; Marcel Huntemann; Alicia Clum; Brian Foster; Bryce Foster; Simon Roux; Krishnaveni Palaniappan; Neha Varghese; Supratim Mukherjee; T B K Reddy; Chris Daum; Alex Copeland; I-Min A Chen; Natalia N Ivanova; Nikos C Kyrpides; Tijana Glavina Del Rio; William B Whitman; Ronald P Kiene; Emiley A Eloe-Fadrosh; Mary Ann Moran
Journal:  Sci Data       Date:  2019-07-22       Impact factor: 6.444

Review 8.  Toward Accurate and Quantitative Comparative Metagenomics.

Authors:  Stephen Nayfach; Katherine S Pollard
Journal:  Cell       Date:  2016-08-25       Impact factor: 41.582

Review 9.  Characterization of the gut microbiome in epidemiologic studies: the multiethnic cohort experience.

Authors:  Benjamin C Fu; Timothy W Randolph; Unhee Lim; Kristine R Monroe; Iona Cheng; Lynne R Wilkens; Loïc Le Marchand; Meredith A J Hullar; Johanna W Lampe
Journal:  Ann Epidemiol       Date:  2016-03-08       Impact factor: 3.797

10.  Wastewater treatment plant resistomes are shaped by bacterial composition, genetic exchange, and upregulated expression in the effluent microbiomes.

Authors:  Feng Ju; Karin Beck; Xiaole Yin; Andreas Maccagnan; Christa S McArdell; Heinz P Singer; David R Johnson; Tong Zhang; Helmut Bürgmann
Journal:  ISME J       Date:  2018-09-24       Impact factor: 10.302

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