Evidence map›Paper›PMID 23124742›Full record

ArticleJournal of microbiology (Seoul, Korea)2012

Characterization of the bacterial and archaeal communities in rice field soils subjected to long-term fertilization practices.

Jae-Hyung Ahn, Jaekyeong Song, Byung-Yong Kim, Myung-Sook Kim, Jae-Ho Joa, Hang-Yeon Weon

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Article in Journal of microbiology (Seoul, Korea), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Meta-analyses on the Periodontal Archaeome.Advances in experimental medicine and biology · 2022
    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

6 authors.

Jae-Hyung AhnAgricultural Microbiology Division, National Academy of Agricultural Science, Rural Development Administration, Suwon 441-707, Republic of Korea.
Jaekyeong Song
Byung-Yong Kim
Myung-Sook Kim
Jae-Ho Joa
Hang-Yeon Weon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The bacterial and archaeal communities in rice field soils subjected to different fertilization regimes for 57 years were investigated in two different seasons, a non-planted, drained season (April) and a rice-growing, flooded season (August), by performing soil dehydrogenase assay, real-time PCR assay and pyrosequencing analysis. All fertilization regimes increased the soil dehydrogenase activity while the abundances of bacteria and archaea increased in the plots receiving inorganic fertilizers plus compost and not in those receiving inorganic fertilizers only. Rice-growing and flooding decreased the soil dehydrogenase activity while they increased the bacterial diversity in rice field soils. The bacterial communities were dominated by Chloroflexi, Proteobacteria, and Actinobacteria and the archaeal communities by Crenarchaeota at the phylum level. In principal coordinates analysis based on the weighted Fast UniFrac metric, the bacterial and archaeal communities were separated primarily by season, and generally distributed along with soil pH, the variation of which had been caused by long-term fertilization. Variations in the relative abundance according to the season or soil pH were observed for many bacterial and archaeal groups. In conclusion, the microbial activity, prokaryotic abundance and diversity, and prokaryotic community structure in the rice field soils were changed by season and long-term fertilization.

Indexed as

Soil MicrobiologyAgricultureArchaeaBacteriaDNA, BacterialFertilizersMolecular Sequence DataOryzaPhylogenyRNA, Ribosomal, 16SSeasonsSoilDNA, BacterialFertilizersRNA, Ribosomal, 16SSoil

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Registered trials

None linked

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.