Evidence map›Paper›PMID 32369501›Full record

ArticlePloS one2020

Characterizing changes in soil microbiome abundance and diversity due to different cover crop techniques.

Charlotte H Wang, Linda Wu, Zengyan Wang, Magdy S Alabady, Daniel Parson, Zainab Molumo, Sarah C Fankhauser

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

7 authors.

Charlotte H WangOxford College of Emory University, Oxford, Georgia, United States of America.
Linda WuEmory University, Atlanta, Georgia, United States of America.
Zengyan WangComputer Sciences Department of University of Georgia, Athens, Georgia, United States of America.ORCID 0000-0002-0562-6622
Magdy S AlabadyDepartment of Plant Biology, University of Georgia, Athens, Georgia, United States of America.
Daniel ParsonOxford College of Emory University, Oxford, Georgia, United States of America.
Zainab MolumoOxford College of Emory University, Oxford, Georgia, United States of America.
Sarah C FankhauserOxford College of Emory University, Oxford, Georgia, United States of America.ORCID 0000-0001-5121-4509

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil-based microorganisms assume a direct and crucial role in the promotion of soil health, quality and fertility, all factors known to contribute heavily to the quality and yield of agricultural products. Cover cropping, used in both traditional and organic farming, is a particularly efficient and environmentally favorable tool for manipulating microbiome composition in agricultural soils and has had clear benefits for soil quality and crop output. Several long-term investigations have evaluated the influence of multi-mix (multiple species) cover crop treatments on soil health and microbial diversity. The present study investigated the short-term effects of a seven species multi-mix cover crop treatment on soil nutrient content and microbial diversity, compared to a single-mix cover crop treatment and control. Analysis of 16S sequencing data of isolated soil DNA revealed that the single-mix cover crop treatment decreased overall microbial abundance and diversity, whereas the control and multi-mix treatments altered the overall microbial composition in similar fluctuating trends. Furthermore, we observed significant changes in specific bacteria belonging to the phyla Acidobacteria, Actinobacteria, Planctomycetes, Proteobacteria and Verrucombicrobia for all treatments, but only the single-mix significantly decreased in abundance of the selected bacteria over time. Our findings indicate that the control and multi-mix treatments are better at maintaining overall microbial composition and diversity compared to the single-mix. Further study is required to elucidate the specific difference between the treatment effect of the multi-mix treatment and the control, given that their microbial composition changes over time were similar but they diverge into two populations of unique bacterial types by the end of this short-term study.

Indexed as

MicrobiotaSoil MicrobiologyAgricultureBacteriaBiodiversityCrops, AgriculturalDNA, BacterialFabaceaeFagopyrumNitrogenPhylogenyPoaceaeRNA, Ribosomal, 16SSoilDNA, BacterialNitrogenRNA, Ribosomal, 16SSoil

Identifiers

PMID32369501
PMCPMC7199946

What OpenQuestion holds

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Registered trials

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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.