Evidence map›Paper›PMID 31105678›Full record

ArticleFrontiers in microbiology2019

Microbial Diversity and Antimicrobial Resistance Profile in Microbiota From Soils of Conventional and Organic Farming Systems.

Julija Armalytė, Jūratė Skerniškytė, Elena Bakienė, Renatas Krasauskas, Rita Šiugždinienė, Violeta Kareivienė, Sigita Kerzienė, Irena Klimienė, Edita Sužiedėlienė, Modestas Ružauskas

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
–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

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Virulence · 2025
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  14. Assessment of Antibiotic Resistance Among Isolates ofPathogens (Basel, Switzerland) · 2025
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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

10 authors.

Julija ArmalytėLife Sciences Center, Institute of Biosciences, Vilnius University, Vilnius, Lithuania.
Jūratė SkerniškytėLife Sciences Center, Institute of Biosciences, Vilnius University, Vilnius, Lithuania.
Elena BakienėLife Sciences Center, Institute of Biosciences, Vilnius University, Vilnius, Lithuania.
Renatas KrasauskasLife Sciences Center, Institute of Biosciences, Vilnius University, Vilnius, Lithuania.
Rita ŠiugždinienėInstitute of Microbiology and Virology, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Violeta KareivienėInstitute of Microbiology and Virology, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Sigita KerzienėInstitute of Microbiology and Virology, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Irena KlimienėInstitute of Microbiology and Virology, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Edita SužiedėlienėLife Sciences Center, Institute of Biosciences, Vilnius University, Vilnius, Lithuania.
Modestas RužauskasInstitute of Microbiology and Virology, Lithuanian University of Health Sciences, Kaunas, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil is one of the biggest reservoirs of microbial diversity, yet the processes that define the community dynamics are not fully understood. Apart from soil management being vital for agricultural purposes, it is also considered a favorable environment for the evolution and development of antimicrobial resistance, which is due to its high complexity and ongoing competition between the microorganisms. Different approaches to agricultural production might have specific outcomes for soil microbial community composition and antibiotic resistance phenotype. Therefore in this study we aimed to compare the soil microbiota and its resistome in conventional and organic farming systems that are continually influenced by the different treatment (inorganic fertilizers and pesticides vs. organic manure and no chemical pest management). The comparison of the soil microbial communities revealed no major differences among the main phyla of bacteria between the two farming styles with similar soil structure and pH. Only small differences between the lower taxa could be observed indicating that the soil community is stable, with minor shifts in composition being able to handle the different styles of treatment and fertilization. It is still unclear what level of intensity can change microbial composition but current conventional farming in Central Europe demonstrates acceptable level of intensity for soil bacterial communities. When the resistome of the soils was assessed by screening the total soil DNA for clinically relevant and soil-derived antibiotic resistance genes, a low variety of resistance determinants was detected (resistance to β-lactams, aminoglycosides, tetracycline, erythromycin, and rifampicin) with no clear preference for the soil farming type. The same soil samples were also used to isolate antibiotic resistant cultivable bacteria, which were predominated by highly resistant isolates of

Indexed as

antibiotic susceptibilityefflux pumpsorganic and conventional farmingresistance genessoil microbiota

Identifiers

PMID31105678
PMCPMC6498881

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LicenceCC BY
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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.