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Environmental factors shaping the diversity of bacterial communities that promote rice production

Overview of attention for article published in BMC Microbiology, June 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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1 blog
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Citations

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93 Mendeley
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Title
Environmental factors shaping the diversity of bacterial communities that promote rice production
Published in
BMC Microbiology, June 2018
DOI 10.1186/s12866-018-1174-z
Pubmed ID
Authors

Zhaohui Wu, Qingshu Liu, Zhenyu Li, Wei Cheng, Jimin Sun, Zhaohui Guo, Yongmei Li, Jianqun Zhou, Delong Meng, Hongbo Li, Ping Lei, Huaqun Yin

Abstract

Exploiting soil microorganisms in the rhizosphere of plants can significantly improve agricultural productivity; however, the mechanism by which microorganisms specifically affect agricultural productivity is poorly understood. To clarify this uncertainly, the rhizospheric microbial communities of super rice plants at various growth stages were analysed using 16S rRNA high-throughput gene sequencing; microbial communities were then related to soil properties and rice productivity. The rhizospheric bacterial communities were characterized by the phyla Proteobacteria, Acidobacteria, Chloroflexi, and Verrucomicrobia during all stages of rice growth. Rice production differed by approximately 30% between high- and low-yield sites that had uniform fertilization regimes and climatic conditions, suggesting the key role of microbial communities. Mantel tests showed a strong correlation between soil conditions and rhizospheric bacterial communities, and microorganisms had different effects on crop yield. Among the four growing periods, the rhizospheric bacterial communities present during the heading stage showed a more significant correlation (p <  0.05) with crop yield, suggesting their potential in regulating crop production. The biological properties (i.e., microbes) reflected the situation of agricultural land better than the physicochemical characterics (i.e., nutrient elements), which provides theoretical support for agronomic production. Molecular ecological network (MEN) analysis suggested that differences in productivity were caused by the interaction between the soil characteristics and the bacterial communities. During the heading stage of rice cropping, the rhizospheric microbial community is vital for the resulting rice yield. According to network analysis, the cooperative relationship (i.e., positive interaction) between between microbes may contribute significantly to yield, and the biological properties (i.e., microbes) better reflected the real conditions of agricultural land than did the physicochemical characteristics (i.e., nutrient elements).

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 25%
Student > Master 15 16%
Researcher 10 11%
Student > Bachelor 6 6%
Student > Doctoral Student 5 5%
Other 13 14%
Unknown 21 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 40%
Biochemistry, Genetics and Molecular Biology 9 10%
Environmental Science 7 8%
Immunology and Microbiology 4 4%
Social Sciences 2 2%
Other 6 6%
Unknown 28 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 June 2018.
All research outputs
#4,136,601
of 23,088,369 outputs
Outputs from BMC Microbiology
#438
of 3,216 outputs
Outputs of similar age
#80,873
of 329,877 outputs
Outputs of similar age from BMC Microbiology
#5
of 36 outputs
Altmetric has tracked 23,088,369 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,216 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,877 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.