Literature DB >> 30852638

Impacts of Sampling Design on Estimates of Microbial Community Diversity and Composition in Agricultural Soils.

Sarah C Castle1, Deborah A Samac2,3, Michael J Sadowsky4,5, Carl J Rosen4, Jessica L M Gutknecht4, Linda L Kinkel2,5.   

Abstract

Soil microbiota play important and diverse roles in agricultural crop nutrition and productivity. Yet, despite increasing efforts to characterize soil bacterial and fungal assemblages, it is challenging to disentangle the influences of sampling design on assessments of communities. Here, we sought to determine whether composite samples-often analyzed as a low cost and effort alternative to replicated individual samples-provide representative summary estimates of microbial communities. At three Minnesota agricultural research sites planted with an oat cover crop, we conducted amplicon sequencing for soil bacterial and fungal communities (16SV4 and ITS2) of replicated individual or homogenized composite soil samples. We compared soil microbiota from within and among plots and then among agricultural sites using both sampling strategies. Results indicated that single or multiple replicated individual samples, or a composite sample from each plot, were sufficient for distinguishing broad site-level macroecological differences among bacterial and fungal communities. Analysis of a single sample per plot captured only a small fraction of the distinct OTUs, diversity, and compositional variability detected in the analysis of multiple individual samples or a single composite sample. Likewise, composite samples captured only a fraction of the diversity represented by the six individual samples from which they were formed, and, on average, analysis of two or three individual samples offered greater compositional coverage (i.e., greater number of OTUs) than a single composite sample. We conclude that sampling design significantly impacts estimates of bacterial and fungal communities even in homogeneously managed agricultural soils, and our findings indicate that while either strategy may be sufficient for broad macroecological investigations, composites may be a poor substitute for replicated samples at finer spatial scales.

Keywords:  16S-V4; Agriculture; Amplicon sequencing; Bacteria; Composite sampling; Fungi; ITS2; Microbiota; Soil; Spatial sampling

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Year:  2019        PMID: 30852638     DOI: 10.1007/s00248-019-01318-6

Source DB:  PubMed          Journal:  Microb Ecol        ISSN: 0095-3628            Impact factor:   4.552


  30 in total

1.  Diversity and dynamics of microbial communities in soils from agro-ecosystems.

Authors:  Daniel H Buckley; Thomas M Schmidt
Journal:  Environ Microbiol       Date:  2003-06       Impact factor: 5.491

2.  Multi-scale variation in spatial heterogeneity for microbial community structure in an eastern Virginia agricultural field.

Authors:  Rima B Franklin; Aaron L Mills
Journal:  FEMS Microbiol Ecol       Date:  2003-06-01       Impact factor: 4.194

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Authors:  Sanghoon Kang; Aaron L Mills
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Authors:  Jennifer B Hughes Martiny; Brendan J M Bohannan; James H Brown; Robert K Colwell; Jed A Fuhrman; Jessica L Green; M Claire Horner-Devine; Matthew Kane; Jennifer Adams Krumins; Cheryl R Kuske; Peter J Morin; Shahid Naeem; Lise Ovreås; Anna-Louise Reysenbach; Val H Smith; James T Staley
Journal:  Nat Rev Microbiol       Date:  2006-02       Impact factor: 60.633

5.  The diversity and biogeography of soil bacterial communities.

Authors:  Noah Fierer; Robert B Jackson
Journal:  Proc Natl Acad Sci U S A       Date:  2006-01-09       Impact factor: 11.205

6.  Multivariate dispersion as a measure of beta diversity.

Authors:  Marti J Anderson; Kari E Ellingsen; Brian H McArdle
Journal:  Ecol Lett       Date:  2006-06       Impact factor: 9.492

Review 7.  The unseen majority: soil microbes as drivers of plant diversity and productivity in terrestrial ecosystems.

Authors:  Marcel G A van der Heijden; Richard D Bardgett; Nico M van Straalen
Journal:  Ecol Lett       Date:  2007-11-29       Impact factor: 9.492

8.  Negative effects of sample pooling on PCR-based estimates of soil microbial richness and community structure.

Authors:  Daniel K Manter; Tiffany L Weir; Jorge M Vivanco
Journal:  Appl Environ Microbiol       Date:  2010-02-05       Impact factor: 4.792

9.  Green manures and crop sequences influence potato diseases and pathogen inhibitory activity of indigenous streptomycetes.

Authors:  B E Wiggins; L L Kinkel
Journal:  Phytopathology       Date:  2005-02       Impact factor: 4.025

Review 10.  More than 400 million years of evolution and some plants still can't make it on their own: plant stress tolerance via fungal symbiosis.

Authors:  Rusty Rodriguez; Regina Redman
Journal:  J Exp Bot       Date:  2008-02-10       Impact factor: 6.992

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Authors:  Lisa Paruch; Adam M Paruch; Hans Geir Eiken; Roald Sørheim
Journal:  Sci Rep       Date:  2019-12-19       Impact factor: 4.379

2.  Effects of operational taxonomic unit inference methods on soil microeukaryote community analysis using long-read metabarcoding.

Authors:  Shadi Eshghi Sahraei; Brendan Furneaux; Kerri Kluting; Mustafa Zakieh; Håkan Rydin; Håkan Hytteborn; Anna Rosling
Journal:  Ecol Evol       Date:  2022-03-08       Impact factor: 2.912

  2 in total

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