Evidence map›Paper›PMID 31798559›Full record

ArticleFrontiers in microbiology2019

Nitrogen Fertilizer Amendment Alter the Bacterial Community Structure in the Rhizosphere of Rice (

Jun Chen, Yasir Arafat, Israr Ud Din, Bo Yang, Liuting Zhou, Juanying Wang, Puleng Letuma, Hongmiao Wu, Xianjin Qin, Linkun Wu and 3 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Rhizosphere-Associated Microbiomes of Rice (Frontiers in microbiology · 2021
    Article
  7. Review
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

13 authors.

Jun ChenCollege of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China.
Yasir ArafatCollege of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China.
Israr Ud DinInstitute of Biotechnology and Genetic Engineering, The University of Agriculture Peshawar, Peshawar, Pakistan.
Bo YangCollege of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China.
Liuting ZhouCollege of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China.
Juanying WangCollege of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China.
Puleng LetumaKey Laboratory of Crop Ecology and Molecular Physiology, Fujian Agriculture and Forestry University, Fuzhou, China.
Hongmiao WuCollege of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China.
Xianjin QinKey Laboratory of Crop Ecology and Molecular Physiology, Fujian Agriculture and Forestry University, Fuzhou, China.
Linkun WuCollege of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China.
Sheng LinCollege of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China.
Zhixing ZhangCollege of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China.
Wenxiong LinCollege of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Availability of nitrogen (N) in soil changes the composition and activities of microbial community, which is critical for the processing of soil organic matter and health of crop plants. Inappropriate application of N fertilizer can alter the rhizosphere microbial community and disturb the soil N homeostasis. The goal of this study was to assess the effect of different ratio of N fertilizer at various early to late growth stages of rice, while keeping the total N supply constant on rice growth performance, microbial community structure, and soil protein expression in rice rhizosphere. Two different N regimes were applied, i.e., traditional N application (NT) consists of three sessions including 60, 30 and 10% at pre-transplanting, tillering and panicle initiation stages, respectively, while efficient N application (NF) comprises of four sessions, i.e., 30, 30, 30, and 10%), where the fourth session was extended to anthesis stage. Soil metaproteomics combined with Terminal Restriction Fragment Length Polymorphism (T-RFLP) were used to determine the rhizosphere biological process. Under NF application, soil enzymes, nitrogen utilization efficiency and rice yield were significantly higher compared to NT application. T-RFLP and qPCR analysis revealed differences in rice rhizosphere bacterial diversity and structure. NF significantly decreased the specific microbes related to denitrification, but opposite result was observed for bacteria associated with nitrification. Furthermore, soil metaproteomics analysis showed that 88.28% of the soil proteins were derived from microbes, 5.74% from plants, and 6.25% from fauna. Specifically, most of the identified microbial proteins were involved in carbohydrate, amino acid and protein metabolisms. Our experiments revealed that NF positively regulates the functioning of the rhizosphere ecosystem and further enabled us to put new insight into microbial communities and soil protein expression in rice rhizosphere.

Indexed as

nitrogen utilization efficiencyricesoil enzymesoil metaproteomicsT-RFLP

Identifiers

PMID31798559
PMCPMC6868037

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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.