Evidence map›Paper›PMID 33914137›Full record

ArticleApplied microbiology and biotechnology2021

Community dynamics in rhizosphere microorganisms at different development stages of wheat growing in confined isolation environments.

Zheng Ma, Zhihao Yi, Kaanuru Bayar, Yuming Fu, Hong Liu

Abstract read
PubMed Publisher
In one paragraph

Article in Applied microbiology and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.2field-weighted citation impact, top 7% of its field
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

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Analysis of microbial community composition and diversity in the rhizosphere of Salvia miltiorrhiza at different growth stages.International microbiology : the official journal of the Spanish Society for Microbiology · 2025
    Article
  4. Frontiers in bioengineering and biotechnology · 2025
    Article
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  6. 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

5 authors at 1 institution in 1 country.

Zheng MaKey Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, Beijing Advanced Innovation Centre for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China.
Zhihao YiKey Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, Beijing Advanced Innovation Centre for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China.
Kaanuru BayarKey Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, Beijing Advanced Innovation Centre for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China.
Yuming FuKey Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, Beijing Advanced Innovation Centre for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China. fuyuming@buaa.edu.cn.ORCID http://orcid.org/0000-0003-2116-5253
Hong LiuKey Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, Beijing Advanced Innovation Centre for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China. LH64@buaa.edu.cn.
Beihang University · CN

Funding

Civil Aerospace Technology Advance Research Project B0107National Natural Science Foundation of China 31870852
6 · The paper itself

Abstract

Wheat is the core food crop in bioregenerative life support systems (BLSSs). In confined isolation environments, wheat growth suffers from a lack of stable microbial communities and is susceptible to pathogenic infections due to the culture substrate's limitations. To overcome this limitation, the time series changes of wheat rhizosphere microorganisms in wheat production must be understood. In the present study, we examined the rhizosphere microbial samples from wheat at four different growth stages from plants collected from a BLSS plant cabin. We employed bioinformatics analysis strategies to analyze the characteristics of species composition, function prediction, and community network. The species composition of wheat rhizosphere microorganisms was relatively stable in the seedling, tillering, and flowering stages in confined isolation environments. However, we observed marked microbial changes at mature stages. The results of functional prediction analysis suggest that the rhizosphere microbial community function of "Energy metabolism" gradually decreased, and the function of "Transmembrane transport" gradually increased during wheat development. The construction of the rhizosphere microbial community is non-random, scale-free and has the characteristics of a small world. We found the tillering stage to be more complex than the other stages. Our study reveals the composition characteristics, functional changes, and community structure fluctuations of rhizosphere bacteria at different development stages of wheat in the isolated and controlled environment, providing a theoretical basis for the efficient production of BLSS plant systems. KEY POINTS: • We collected wheat rhizosphere microorganisms at different stages in a confined isolation environment. • The diversity, composition, function, and network structure of rhizosphere bacteria were analyzed. • The effect of different wheat stages on the composition, function, and network structure of rhizosphere microorganisms was speculated.

Indexed as

MicrobiotaRhizospherePlant RootsSoil MicrobiologyTriticumAmplicon analysisBLSSFunction predictionNetwork structureRhizosphere microorganismsWheat

Identifiers

PMID33914137
OpenAlexW3159793767

What OpenQuestion holds

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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.