Evidence map›Paper›PMID 33907063›Full record

ArticleMicrobes and environments2021

Community Analysis-based Screening of Plant Growth-promoting Bacteria for Sugar Beet.

Kazuyuki Okazaki, Hirohito Tsurumaru, Megumi Hashimoto, Hiroyuki Takahashi, Takashi Okubo, Takuji Ohwada, Kiwamu Minamisawa, Seishi Ikeda

Abstract read
In one paragraph

Article in Microbes and environments, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  6. Physicochemical, microbial, and microbiome dynamics in winery waste composting.Environmental science and pollution research international · 2025
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  8. Host genotype-driven shifts in theFrontiers in microbiology · 2025
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  11. The resting cyst of dinoflagellateFrontiers in microbiology · 2024
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  18. Review
  19. Article
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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.

Kazuyuki OkazakiMemuro Research Station, Hokkaido Agricultural Research Center, National Agriculture and Food Research Organization.
Hirohito TsurumaruGraduate School of Life Science, Tohoku University.
Megumi HashimotoGraduate School of Life Science, Tohoku University.
Hiroyuki TakahashiMemuro Research Station, Hokkaido Agricultural Research Center, National Agriculture and Food Research Organization.
Takashi OkuboGraduate School of Life Science, Tohoku University.
Takuji OhwadaDepartment of Agricultural and Life Sciences, Obihiro University of Agriculture and Veterinary Medicine.
Kiwamu MinamisawaGraduate School of Life Science, Tohoku University.
Seishi IkedaMemuro Research Station, Hokkaido Agricultural Research Center, National Agriculture and Food Research Organization.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clone libraries of bacterial 16S rRNA genes (a total of 1,980 clones) were constructed from the leaf blades, petioles, taproots, and lateral roots of sugar beet (Beta vulgaris L.) grown under different fertilization conditions. A principal coordinate analysis revealed that the structures of bacterial communities in above- and underground tissues were largely separated by PC1 (44.5%). The bacterial communities of above-ground tissues (leaf blades and petioles) were more tightly clustered regardless of differences in the tissue types and fertilization conditions than those of below-ground tissues (taproots and lateral roots). The bacterial communities of below-ground tissues were largely separated by PC2 (26.0%). To survey plant growth-promoting bacteria (PGPBs), isolate collections (a total of 665 isolates) were constructed from the lateral roots. As candidate PGPBs, 44 isolates were selected via clustering analyses with the combined 16S rRNA gene sequence data of clone libraries and isolate collections. The results of inoculation tests using sugar beet seedlings showed that eight isolates exhibited growth-promoting effects on the seedlings. Among them, seven isolates belonging to seven genera (Asticcacaulis, Mesorhizobium, Nocardioides, Sphingobium, Sphingomonas, Sphingopyxis, and Polaromonas) were newly identified as PGPBs for sugar beet at the genus level, and two isolates belonging to two genera (Asticcacaulis and Polaromonas) were revealed to exert growth-promoting effects on the plant at the genus level for the first time. These results suggest that a community analysis-based selection strategy will facilitate the isolation of novel PGPBs and extend the potential for the development of novel biofertilizers.

Indexed as

MicrobiotaBacteriaBeta vulgarisDNA, BacterialPlant LeavesPlant RootsRNA, Ribosomal, 16SSeedlingsSoil MicrobiologyDNA, BacterialRNA, Ribosomal, 16S16S rRNA genebiofertilizercommunity analysisplant growth-promoting bacteriasugar beet

Identifiers

PMID33907063
PMCPMC8209457

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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.