Evidence map›Paper›PMID 21811796›Full record

ArticleMicrobial ecology2012

Differentiated response of denitrifying communities to fertilization regime in paddy soil.

Zhe Chen, Jinbo Liu, Minna Wu, Xiaoli Xie, Jinshui Wu, Wenxue Wei

Abstract read
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Article in Microbial ecology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
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  18. Elevated NEnvironmental science and pollution research international · 2017
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  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

6 authors.

Zhe ChenKey Laboratory of Agro-ecological Processes in Subtropical Regions and Taoyuan Agro-ecosystem Research Station, Soil Molecular Ecology Section, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China.
Jinbo Liu
Minna Wu
Xiaoli Xie
Jinshui Wu
Wenxue Wei

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of fertilization regimes on sequential denitrifying communities was investigated in a rice paddy field with 17 years continuous fertilization, located in Taoyuan Agro-ecosystem Research Station (110°72″ E, 28°52″ N), China. The diversity, community composition, and size of denitrifying genes of narG, qnorB, and nosZ were determined using molecular tools including terminal restriction fragment length polymorphism, quantitative polymerase chain reaction (qPCR), cloning, and sequencing analysis. Soil samples were collected from the plots with no fertilizer (NF), urea (UR), balanced mineral fertilizers (BM), and BM combined with rice straw (BMR). UR and BM caused marked increase in the community size of the denitrifying genes; however, BMR resulted in the highest abundance. The community size of narG was the most affected by the fertilization regimes, while qnorB was the least. Fertilization also induced some shifts in the composition of denitrifying genes, but the responses of different genes varied. However, fertilization regimes caused no significant changes to the diversity of the denitrifying genes. Potential denitrification activity (PDA) was significantly correlated with the abundance of narG and nosZ rather than qnorB, but there were no such correlations between PDA and the composition and diversity of denitrifying communities. Conclusively, long-term fertilization significantly affected denitrifying community size and composition, but not diversity. Among the sequential denitrifying genes, narG was the most, while qnorB was the least sensitive communities to fertilization regimes.

Indexed as

Soil MicrobiologyBacteriaBacterial ProteinsChinaDenitrificationFertilizersGene DosageMolecular Sequence DataNitrite ReductasesOryzaPhylogenyPolymorphism, Restriction Fragment LengthReal-Time Polymerase Chain ReactionSoilBacterial ProteinsFertilizersNitrite ReductasesSoil

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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.