Evidence map›Paper›PMID 28450660›Full record

ArticleMicrobes and environments2017

Understory Dwarf Bamboo Affects Microbial Community Structures and Soil Properties in a Betula ermanii Forest in Northern Japan.

Bihe Kong, Lei Chen, Yasuhiro Kasahara, Akihiro Sumida, Kiyomi Ono, Jan Wild, Arata Nagatake, Ryusuke Hatano, Toshihiko Hara

Abstract read
In one paragraph

Article in Microbes and environments, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Ecological clusters of soil taxa within bipartite networks are highly sensitive to climatic conditions in global drylands.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
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

9 authors.

Bihe KongInstitute of Low Temperature Science, Hokkaido University.
Lei ChenInstitute of Low Temperature Science, Hokkaido University.
Yasuhiro KasaharaInstitute of Low Temperature Science, Hokkaido University.
Akihiro SumidaInstitute of Low Temperature Science, Hokkaido University.
Kiyomi OnoInstitute of Low Temperature Science, Hokkaido University.
Jan WildInstitute of Low Temperature Science, Hokkaido University.
Arata NagatakeSoil Science Laboratory, Graduate School of Agriculture, Hokkaido University.
Ryusuke HatanoSoil Science Laboratory, Graduate School of Agriculture, Hokkaido University.
Toshihiko HaraInstitute of Low Temperature Science, Hokkaido University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to understand the relationships between understory bamboo and soil properties, we compared microbial community structures in the soil of a Betula ermanii boreal forest with Sasa kurilensis present and removed using high-throughput DNA sequencing. The presence of understory S. kurilensis strongly affected soil properties, including total carbon, total nitrogen, nitrate, and the C:N ratio as well as relative soil moisture. Marked differences were also noted in fungal and bacterial communities between plots. The relative abundance of the fungal phylum Ascomycota was 13.9% in the Sasa-intact plot and only 0.54% in the Sasa-removed plot. Among the Ascomycota fungi identified, the most prevalent were members of the family Pezizaceae. We found that the abundance of Pezizaceae, known to act as mycorrhizal fungi, was related to the amount of total carbon in the Sasa-intact plot. The relative abundance of Proteobacteria was significantly higher, whereas those of Planctomycetes and Actinobacteria were lower in the Sasa-intact plot than in the Sasa-removed plot. Furthermore, the results obtained suggest that some species of the phylum Planctomycetes are more likely to occur in the presence of S. kurilensis. Collectively, these results indicate that the presence of S. kurilensis affects microbial communities and soil properties in a B. ermanii boreal forest.

Indexed as

BetulaForestsSoil MicrobiologyBacteriaCarbonFungiHigh-Throughput Nucleotide SequencingJapanNitrogenSasaSequence Analysis, DNASoilCarbonNitrogenSoilbacteriaboreal forestfungihigh-throughput sequencingSasa kurilensis

Identifiers

PMID28450660
PMCPMC5478532

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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.