Evidence map›Paper›PMID 37375040›Full record

ArticleMicroorganisms2023

Culture-Dependent and Metabarcoding Characterization of the Sugar Beet (

Tamara Krstić Tomić, Iva Atanasković, Ivan Nikolić, Nataša Joković, Tatjana Stević, Slaviša Stanković, Tanja Berić, Jelena Lozo

Abstract read
In one paragraph

Article in Microorganisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

8 authors.

Tamara Krstić TomićUniversity of Belgrade, Faculty of Biology, 11000 Belgrade, Serbia.ORCID 0009-0001-7144-8932
Iva AtanaskovićUniversity of Belgrade, Faculty of Biology, 11000 Belgrade, Serbia.ORCID 0000-0002-7028-1317
Ivan NikolićUniversity of Belgrade, Faculty of Biology, 11000 Belgrade, Serbia.ORCID 0000-0001-7851-4050
Nataša JokovićFaculty of Sciences and Mathematics, University of Niš, 18000 Niš, Serbia.
Tatjana StevićInstitute for Medicinal Plants Research "Dr. Josif Pančić", 11000 Belgrade, Serbia.
Slaviša StankovićUniversity of Belgrade, Faculty of Biology, 11000 Belgrade, Serbia.ORCID 0000-0003-0527-8741
Tanja BerićUniversity of Belgrade, Faculty of Biology, 11000 Belgrade, Serbia.ORCID 0000-0002-4860-2225
Jelena LozoUniversity of Belgrade, Faculty of Biology, 11000 Belgrade, Serbia.ORCID 0000-0001-9888-5270

Funding

Ministry of Science, Technological Development and Innovation of the Republic of Serbia 451-03-47/2023-01/ 200178
6 · The paper itself

Abstract

The diversity of plant-associated bacteria is vast and can be determined by 16S rRNA gene metabarcoding. Fewer of them have plant-beneficial properties. To harness their benefits for plants, we must isolate them. This study aimed to check whether 16S rRNA gene metabarcoding has predictive power in identifying the majority of known bacteria with plant-beneficial traits that can be isolated from the sugar beet (

Indexed as

16S rRNA metabarcodingplant-based mediaplant microbiomeseasonal changessugar beet

Identifiers

PMID37375040
PMCPMC10302512

What OpenQuestion holds

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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.