Evidence map›Paper›PMID 29386563›Full record

ArticleScientific reports2018

Characterization of soil nematode communities in three cropping systems through morphological and DNA metabarcoding approaches.

Amy M Treonis, Samantha K Unangst, Ryan M Kepler, Jeffrey S Buyer, Michel A Cavigelli, Steven B Mirsky, Jude E Maul

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Nematode Community Profiling in Organic and Conventional Spinach Systems.Plant-environment interactions (Hoboken, N.J.) · 2026
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  16. Journal of nematology · 2022
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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.

Amy M TreonisDepartment of Biology, University of Richmond, Richmond, VA, 23173, USA. atreonis@richmond.edu.
Samantha K UnangstDepartment of Biology, University of Richmond, Richmond, VA, 23173, USA.
Ryan M KeplerUSDA-ARS, Sustainable Agricultural Systems Laboratory, Beltsville, MD, 20705, USA.
Jeffrey S BuyerUSDA-ARS, Sustainable Agricultural Systems Laboratory, Beltsville, MD, 20705, USA.
Michel A CavigelliUSDA-ARS, Sustainable Agricultural Systems Laboratory, Beltsville, MD, 20705, USA.
Steven B MirskyUSDA-ARS, Sustainable Agricultural Systems Laboratory, Beltsville, MD, 20705, USA.
Jude E MaulUSDA-ARS, Sustainable Agricultural Systems Laboratory, Beltsville, MD, 20705, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We used complementary morphological and DNA metabarcoding approaches to characterize soil nematode communities in three cropping systems, conventional till (CT), no-till (NT) and organic (ORG), from a long-term field experiment. We hypothesized that organic inputs to the ORG system would promote a more abundant nematode community, and that the NT system would show a more structured trophic system (higher Bongers MI) than CT due to decreased soil disturbance. The abundance of Tylenchidae and Cephalobidae both showed positive correlations to soil organic carbon and nitrogen, which were highest in the ORG system. The density of omnivore-predator and bacterial-feeding nematodes was reduced in NT soils compared to CT, while some plant-parasitic taxa increased. NT soils had similar Bongers MI values to CT, suggesting they contained nematode communities associated with soils experiencing comparable levels of disturbance. Metabarcoding revealed within-family differences in nematode diversity. Shannon and Simpson's index values for the Tylenchidae and Rhabditidae were higher in the ORG system than CT. Compared to morphological analysis, metabarcoding over- or underestimated the prevalence of several nematode families and detected some families not observed based on morphology. Discrepancies between the techniques require further investigation to establish the accuracy of metabarcoding for characterization of soil nematode communities.

Indexed as

BiodiversityMetagenomeAnimalsDNA Barcoding, TaxonomicSoilTylenchidaSoil

Identifiers

PMID29386563
PMCPMC5792604

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.