Evidence map›Paper›PMID 33482726›Full record

ArticleBMC microbiology2021

Comparison and interpretation of characteristics of Rhizosphere microbiomes of three blueberry varieties.

Yan Zhang, Wei Wang, Zhangjun Shen, Jingjing Wang, Yajun Chen, Dong Wang, Gang Liu, Maozhen Han

Abstract readComparative Study
In one paragraph

Article in BMC microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  2. Effects of a microbial treatment ofFrontiers in microbiology · 2026
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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.

Yan ZhangSchool of Life Sciences, Hefei Normal University, Hefei, 230601, Anhui, China.
Wei WangSchool of Life Sciences, Hefei Normal University, Hefei, 230601, Anhui, China.
Zhangjun ShenSchool of Life Sciences, Hefei Normal University, Hefei, 230601, Anhui, China.
Jingjing WangSchool of Life Sciences, Hefei Normal University, Hefei, 230601, Anhui, China.
Yajun ChenSchool of Life Sciences, Hefei Normal University, Hefei, 230601, Anhui, China.
Dong WangSchool of Life Sciences, Hefei Normal University, Hefei, 230601, Anhui, China.
Gang LiuSchool of Life Sciences, Anhui Medical University, Hefei, 230032, Anhui, China.
Maozhen HanSchool of Life Sciences, Anhui Medical University, Hefei, 230032, Anhui, China. hanmz@ahmu.edu.cn.ORCID 0000-0002-5958-1941

Funding

Anhui Provincial Natural Science Foundation 2008085MH270Grants for Scientific Research of BSKY XJ201916National Science Foundation of China 31702030Natural Science Foundation for Colleges and Universities of Anhui Province KJ2019ZD50Provicial Natural Science Research Project of Anhui Colleges KJ2020A0093Youth Elite Support Plan in Universities of Anhui Province gxyq2018056
6 · The paper itself

Abstract

backgroundStudies on the rhizosphere microbiome of various plants proved that rhizosphere microbiota carries out various vital functions and can regulate the growth and improve the yield of plants. However, the rhizosphere microbiome of commercial blueberry was only reported by a few studies and remains elusive. Comparison and interpretation of the characteristics of the rhizosphere microbiome of blueberry are critical important to maintain its health.

resultsIn this study, a total of 20 rhizosphere soil samples, including 15 rhizosphere soil samples from three different blueberry varieties and five bulk soil samples, were sequenced with a high-throughput sequencing strategy. Based on these sequencing datasets, we profiled the taxonomical, functional, and phenotypic compositions of rhizosphere microbial communities for three different blueberry varieties and compared our results with a previous study focused on the rhizosphere microbiome of blueberry varieties. Our results demonstrated significant differences in alpha diversity and beta diversity of rhizosphere microbial communities of different blueberry varieties and bulk soil. The distribution patterns of taxonomical, functional, and phenotypic compositions of rhizosphere microbiome differ across the blueberry varieties. The rhizosphere microbial communities of three different blueberry varieties could be distinctly separated, and 28 discriminative biomarkers were selected to distinguish these three blueberry varieties. Core rhizosphere microbiota for blueberry was identified, and it contained 201 OTUs, which were mainly affiliated with Proteobacteria, Actinobacteria, and Acidobacteria. Moreover, the interactions between OTUs of blueberry rhizosphere microbial communities were explored by a co-occurrence network of OTUs from an ecological perspective.

conclusionsThis pilot study explored the characteristics of blueberry's rhizosphere microbial community, such as the beneficial microorganisms and core microbiome, and provided an integrative perspective on blueberry's rhizosphere microbiome, which beneficial to blueberry health and production.

Indexed as

Genetic MarkersBacteriaBlueberry PlantsDNA, BacterialPhenotypePhylogenyPilot ProjectsPlant RootsRhizosphereRNA, Ribosomal, 16SSequence Analysis, DNASoil MicrobiologyDNA, BacterialGenetic MarkersRNA, Ribosomal, 16SBiomarkersBlueberryCo-occurrence networkRhizosphere microbial communityRhizosphere microbiome

Identifiers

PMID33482726
PMCPMC7821519

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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.