Evidence map›Paper›PMID 26684619›Full record

ArticlePloS one2015

Comparative Analysis of Prokaryotic Communities Associated with Organic and Conventional Farming Systems.

Elizaveta Pershina, Jari Valkonen, Päivi Kurki, Ekaterina Ivanova, Evgeny Chirak, Ilia Korvigo, Nykolay Provorov, Evgeny Andronov

Erratum issuedOpen access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 103 citations in OpenAlex.

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  11. Bradyrhizobium sp. sv. retamae nodulates Retama monosperma grown in a lead and zinc mine tailings in Eastern Morocco.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 2 countries.

Elizaveta PershinaLaboratory of microbiological monitoring and bioremediation of soils, All-Russia Research Institute for Agricultural Microbiology, Saint-Petersburg, Russia.
Jari ValkonenDepartment of Agricultural Sciences, University of Helsinki, Helsinki, Finland.
Päivi KurkiNatural Resources Institute Finland, Mikkeli, Finland.
Ekaterina IvanovaLaboratory of microbiological monitoring and bioremediation of soils, All-Russia Research Institute for Agricultural Microbiology, Saint-Petersburg, Russia.
Evgeny ChirakLaboratory of microbiological monitoring and bioremediation of soils, All-Russia Research Institute for Agricultural Microbiology, Saint-Petersburg, Russia.
Ilia KorvigoLaboratory of microbiological monitoring and bioremediation of soils, All-Russia Research Institute for Agricultural Microbiology, Saint-Petersburg, Russia.
Nykolay ProvorovLaboratory of microbiological monitoring and bioremediation of soils, All-Russia Research Institute for Agricultural Microbiology, Saint-Petersburg, Russia.
Evgeny AndronovLaboratory of microbiological monitoring and bioremediation of soils, All-Russia Research Institute for Agricultural Microbiology, Saint-Petersburg, Russia.
All-Russian Research Institute of Agricultural Microbiology · RUSt Petersburg University · RUNatural Resources Institute Finland · FIUniversity of Helsinki · FIV.V. Dokuchaev Soil Science Institute · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the most important challenges in agriculture is to determine the effectiveness and environmental impact of certain farming practices. The aim of present study was to determine and compare the taxonomic composition of the microbiomes established in soil following long-term exposure (14 years) to a conventional and organic farming systems (CFS and OFS accordingly). Soil from unclared forest next to the fields was used as a control. The analysis was based on RT-PCR and pyrosequencing of 16S rRNA genes of bacteria and archaea. The number of bacteria was significantly lower in CFS than in OFS and woodland. The highest amount of archaea was detected in woodland, whereas the amounts in CFS and OFS were lower and similar. The most common phyla in the soil microbial communities analyzed were Proteobacteria (57.9%), Acidobacteria (16.1%), Actinobacteria (7.9%), Verrucomicrobia (2.0%), Bacteroidetes (2.7%) and Firmicutes (4.8%). Woodland soil differed from croplands in the taxonomic composition of microbial phyla. Croplands were enriched with Proteobacteria (mainly the genus Pseudomonas), while Acidobacteria were detected almost exclusively in woodland soil. The most pronounced differences between the CFS and OFS microbiomes were found within the genus Pseudomonas, which significantly (p<0,05) increased its number in CFS soil compared to OFS. Other differences in microbiomes of cropping systems concerned minor taxa. A higher relative abundance of bacteria belonging to the families Oxalobacteriaceae, Koribacteriaceae, Nakamurellaceae and genera Ralstonia, Paenibacillus and Pedobacter was found in CFS as compared with OFS. On the other hand, microbiomes of OFS were enriched with proteobacteria of the family Comamonadaceae (genera Hylemonella) and Hyphomicrobiaceae, actinobacteria from the family Micrococcaceae, and bacteria of the genera Geobacter, Methylotenera, Rhizobium (mainly Rhizobium leguminosarum) and Clostridium. Thus, the fields under OFS and CFS did not differ greatly for the composition of the microbiome. These results, which were also confirmed by cluster analysis, indicated that microbial communities in the field soil do not necessarily differ largely between conventional and organic farming systems.

Indexed as

Soil MicrobiologyAcidobacteriaActinobacteriaAgricultureArchaeaBacillotaBacteriaBacteroidetesDNA, RibosomalOrganic AgriculturePhylogenyProteobacteriaRNA, Ribosomal, 16SSequence Analysis, DNAVerrucomicrobiaDNA, RibosomalRNA, Ribosomal, 16S

Identifiers

PMID26684619
PMCPMC4684275
OpenAlexW2211800578

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.