Evidence map›Paper›PMID 27080869›Full record

ArticleScientific reports2016

Unearthing microbial diversity of Taxus rhizosphere via MiSeq high-throughput amplicon sequencing and isolate characterization.

Da-Cheng Hao, Si-Meng Song, Jun Mu, Wen-Li Hu, Pei-Gen Xiao

Abstract read
In one paragraph

Article in Scientific reports, 2016. 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

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

22 citing papers in PubMed.

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  19. Metabolite profiling of non-sterile rhizosphere soil.The Plant journal : for cell and molecular biology · 2017
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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.

Da-Cheng HaoBiotechnology Institute, School of Environment and Chemical Engineering, Dalian Jiaotong University, Dalian 116028, China.
Si-Meng SongBiotechnology Institute, School of Environment and Chemical Engineering, Dalian Jiaotong University, Dalian 116028, China.
Jun MuCollege of Marine Science and Technology, Zhejiang Ocean University, Zhoushan 316022, China.
Wen-Li HuBiotechnology Institute, School of Environment and Chemical Engineering, Dalian Jiaotong University, Dalian 116028, China.
Pei-Gen XiaoInstitute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Beijing 100193, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The species variability and potential environmental functions of Taxus rhizosphere microbial community were studied by comparative analyses of 15 16S rRNA and 15 ITS MiSeq sequencing libraries from Taxus rhizospheres in subtropical and temperate regions of China, as well as by isolating laccase-producing strains and polycyclic aromatic hydrocarbon (PAH)-degrading strains. Total reads could be assigned to 2,141 Operational Taxonomic Units (OTUs) belonging to 31 bacteria phyla and 2,904 OTUs of at least seven fungi phyla. The abundance of Planctomycetes, Actinobacteria, and Chloroflexi was higher in T. cuspidata var. nana and T. × media rhizospheres than in T. mairei rhizosphere (NF), while Acidobacteria, Proteobacteria, Nitrospirae, and unclassified bacteria were more abundant in the latter. Ascomycota and Zygomycota were predominant in NF, while two temperate Taxus rhizospheres had more unclassified fungi, Basidiomycota, and Chytridiomycota. The bacterial/fungal community richness and diversity were lower in NF than in other two. Three dye decolorizing fungal isolates were shown to be highly efficient in removing three classes of reactive dye, while two PAH-degrading fungi were able to degrade recalcitrant benzo[a]pyrene. The present studies extend the knowledge pedigree of the microbial diversity populating rhizospheres, and exemplify the method shift in research and development of resource plant rhizosphere.

Indexed as

BiodiversityMetagenomeMetagenomicsRhizosphereSoil MicrobiologyCluster AnalysisDNA Barcoding, TaxonomicHigh-Throughput Nucleotide SequencingMicrobiotaRNA, Ribosomal, 16STaxusRNA, Ribosomal, 16S

Identifiers

PMID27080869
PMCPMC4832182

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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.