Evidence map›Paper›PMID 36160210›Full record

ArticleFrontiers in microbiology2022

Ratio of carbon and nitrogen in fertilizer treatment drives distinct rhizosphere microbial community composition and co-occurrence networks.

Ruifen Zhu, Chang Liu, Yuan Dong Xu, Wei He, Jielin Liu, Jishan Chen, Yajun An, Shangli Shi

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

8 authors.

Ruifen ZhuPratacultural College, Gansu Agricultural University, Lanzhou, China.
Chang LiuPratacultural Institute, Chongqing Academy of Animal Sciences, Rongchang, China.
Yuan Dong XuPratacultural Institute, Chongqing Academy of Animal Sciences, Rongchang, China.
Wei HePratacultural Institute, Chongqing Academy of Animal Sciences, Rongchang, China.
Jielin LiuPratacultural Institute Science, Heilongjiang Academy of Agricultural Sciences, Harbin, China.
Jishan ChenPratacultural Institute, Chongqing Academy of Animal Sciences, Rongchang, China.
Yajun AnGansu Yasheng Agricultural Research Institute Co., Ltd., Lanzhou, China.
Shangli ShiPratacultural College, Gansu Agricultural University, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fertilization is the main strategy to accelerate vegetation restoration and improve the rhizosphere microbial community in the northeast China. However, the responses of rhizosphere microbial community structure, specific microbial community and symbiotic pattern to manure fertilization in grassland (alfalfa only) are not well clear. In this study, the variation of bacterial community structures in R_Manure (extracted liquid of fermented cow manure), E_Manure (extracted residue of fermented cow manure), F_Manure (full fermented cow manure), and Control (without fermented cow manure) collected from the rhizosphere microbial community of alfalfa were analyzed by the application of an Illumina HiSeq high-throughput sequencing technique. A total of 62,862 microbial operational taxonomic units (OTUs) were detected and derived from 21 phyla of known bacteria. The dominant bacteria in the rhizosphere include Proteobacteria (70.20%), Acidobacteria (1.24%), Actinobacteria (2.11%), Bacteroidetes (6.15%), Firmicutes (4.21%), and Chlorofexi (2.13%) accounting for 86% of the dominant phyla in all treatments. At the genus level, the dominant genus include

Indexed as

alfalfaco-occurrence networksmicrobial community compositionratio of carbon and nitrogenrhizosphere

Identifiers

PMID36160210
PMCPMC9493311

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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.