Evidence map›Paper›PMID 30852638›Full record

ArticleMicrobial ecology2019

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

Sarah C Castle, Deborah A Samac, Michael J Sadowsky, Carl J Rosen, Jessica L M Gutknecht, Linda L Kinkel

Abstract read
PubMed Publisher
In one paragraph

Article in Microbial ecology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 22 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Sarah C CastleDepartment of Plant Pathology, University of Minnesota, Minneapolis, USA. sccastle@umn.edu.ORCID http://orcid.org/0000-0002-7581-6237
Deborah A SamacDepartment of Plant Pathology, University of Minnesota, Minneapolis, USA.
Michael J SadowskyDepartment of Soil, Water, and Climate, University of Minnesota, Minneapolis, MN, USA.
Carl J RosenDepartment of Soil, Water, and Climate, University of Minnesota, Minneapolis, MN, USA.
Jessica L M GutknechtDepartment of Soil, Water, and Climate, University of Minnesota, Minneapolis, MN, USA.
Linda L KinkelDepartment of Plant Pathology, University of Minnesota, Minneapolis, USA.
University of Minnesota · US

Funding

Agricultural Research Service 12108463
6 · The paper itself

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 (16S

Indexed as

MicrobiotaSoil MicrobiologyAgricultureBacteriaFungiMinnesotaPhylogenySoilSoil16S-V4AgricultureAmplicon sequencingBacteriaComposite samplingFungiITS2MicrobiotaSoilSpatial sampling

Identifiers

PMID30852638
OpenAlexW2921237410

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.