Evidence map›Paper›PMID 31073895›Full record

ArticleJournal of microbiology (Seoul, Korea)2019

Rhizocompartments and environmental factors affect microbial composition and variation in native plants.

Myung-Suk Kang, Moonsuk Hur, Soo-Je Park

Abstract read
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In one paragraph

Article in Journal of microbiology (Seoul, Korea), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. MAPK Cascades in Plant Microbiota Structure and Functioning.Journal of microbiology (Seoul, Korea) · 2024
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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

3 authors.

Myung-Suk KangBiological Resources Utilization Department, National Institute of Biological Resources, Incheon, 22689, Republic of Korea.
Moonsuk HurMicroorganism Resources Division, National Institute of Biological Resources, Incheon, 22689, Republic of Korea.
Soo-Je ParkDepartment of Biology, Jeju National University, Jeju, 63243, Republic of Korea. sjpark@jejunu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular analysis based on large-scale sequencing of the plant microbiota has revealed complex relationships between plants and microbial communities, and environmental factors such as soil type can influence these relationships. However, most studies on root-associated microbial communities have focused on model plants such as Arabidopsis, rice or crops. Herein, we examined the microbiota of rhizocompartments of two native plants, Sedum takesimense Nakai and Campanula takesimana Nakai, using archaeal and bacterial 16S rRNA gene amplicon profiling, and assessed relationships between environmental factors and microbial community composition. We identified 390 bacterial genera, including known plant-associated genera such as Pseudomonas, Flavobacterium, Bradyrhizobium and Rhizobium, and uncharacterized clades such as DA101 that might be important in root-associated microbial communities in bulk soil. Unexpectedly, Nitrososphaera clade members were abundant, indicating functional association with roots. Soil texture/type has a greater impact on microbial community composition in rhizocompartments than chemical factors. Our results provide fundamental knowledge on microbial diversity, community and correlations with environmental factors, and expand our understanding of the microbiota in rhizocompartments of native plants.

Indexed as

ArchaeaBacteriaCampanulaceaeMicrobiotaPlant RootsRhizosphereRNA, Ribosomal, 16SSedumSoilSoil MicrobiologyRNA, Ribosomal, 16SSoilarchaeabacteriaenvironmental factorsnext-generation sequencingplant microbiotarhizocompartments

Identifiers

What OpenQuestion holds

Textmetadata
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.