Evidence map›Paper›PMID 24463575›Full record

ArticleMicrobes and environments2014

Low nitrogen fertilization adapts rice root microbiome to low nutrient environment by changing biogeochemical functions.

Seishi Ikeda, Kazuhiro Sasaki, Takashi Okubo, Akifumu Yamashita, Kimihiro Terasawa, Zhihua Bao, Dongyan Liu, Takeshi Watanabe, Jun Murase, Susumu Asakawa and 4 more

Abstract read
In one paragraph

Article in Microbes and environments, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

47 citing papers in PubMed.

  1. Variations in the NRice (New York, N.Y.) · 2025
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  6. Replacement of water yam (Frontiers in microbiology · 2023
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  17. Elevated Atmospheric COFrontiers in microbiology · 2021
    Article
  18. Article
  19. Article
  20. 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

14 authors.

Seishi IkedaGraduate School of Life Sciences, Tohoku University.
Kazuhiro Sasaki
Takashi Okubo
Akifumu Yamashita
Kimihiro Terasawa
Zhihua Bao
Dongyan Liu
Takeshi Watanabe
Jun Murase
Susumu Asakawa
Shima Eda
Hisayuki Mitsui
Tadashi Sato
Kiwamu Minamisawa

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reduced fertilizer usage is one of the objectives of field management in the pursuit of sustainable agriculture. Here, we report on shifts of bacterial communities in paddy rice ecosystems with low (LN), standard (SN), and high (HN) levels of N fertilizer application (0, 30, and 300 kg N ha(-1), respectively). The LN field had received no N fertilizer for 5 years prior to the experiment. The LN and HN plants showed a 50% decrease and a 60% increase in biomass compared with the SN plant biomass, respectively. Analyses of 16S rRNA genes suggested shifts of bacterial communities between the LN and SN root microbiomes, which were statistically confirmed by metagenome analyses. The relative abundances of Burkholderia, Bradyrhizobium and Methylosinus were significantly increased in root microbiome of the LN field relative to the SN field. Conversely, the abundance of methanogenic archaea was reduced in the LN field relative to the SN field. The functional genes for methane oxidation (pmo and mmo) and plant association (acdS and iaaMH) were significantly abundant in the LN root microbiome. Quantitative PCR of pmoA/mcrA genes and a (13)C methane experiment provided evidence of more active methane oxidation in the rice roots of the LN field. In addition, functional genes for the metabolism of N, S, Fe, and aromatic compounds were more abundant in the LN root microbiome. These results suggest that low-N-fertilizer management is an important factor in shaping the microbial community structure containing key microbes for plant associations and biogeochemical processes in paddy rice ecosystems.

Indexed as

MicrobiotaArchaeaBacteriaBiodiversityFertilizersMolecular Sequence DataNitrogenOryzaPhylogenyPlant RootsSoil MicrobiologyFertilizersNitrogen

Identifiers

PMID24463575
PMCPMC4041235

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.