Evidence map›Paper›PMID 25756678›Full record

ArticleThe ISME journal2015

Higher diversity and abundance of denitrifying microorganisms in environments than considered previously.

Wei Wei, Kazuo Isobe, Tomoyasu Nishizawa, Lin Zhu, Yutaka Shiratori, Nobuhito Ohte, Keisuke Koba, Shigeto Otsuka, Keishi Senoo

Abstract read
In one paragraph

Article in The ISME journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

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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

9 authors.

Wei WeiDepartment of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
Kazuo IsobeDepartment of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
Tomoyasu Nishizawa1] Department of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan [2] Department of Bioresource Science, College of Agriculture, Ibaraki University, Ibaraki, Japan.
Lin ZhuAlkali Soil Natural Environmental Science Center, Northeast Forestry University, Harbin, China.
Yutaka ShiratoriNiigata Agricultural Research Institute, Niigata,, Japan.
Nobuhito OhteDepartment of Forest Science, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
Keisuke KobaInstitute of Agriculture, Graduate School of Agriculture, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Shigeto OtsukaDepartment of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
Keishi SenooDepartment of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Denitrification is an important process in the global nitrogen cycle. The genes encoding NirK and NirS (nirK and nirS), which catalyze the reduction of nitrite to nitric oxide, have been used as marker genes to study the ecological behavior of denitrifiers in environments. However, conventional polymerase chain reaction (PCR) primers can only detect a limited range of the phylogenetically diverse nirK and nirS. Thus, we developed new PCR primers covering the diverse nirK and nirS. Clone library and qPCR analysis using the primers showed that nirK and nirS in terrestrial environments are more phylogenetically diverse and 2-6 times more abundant than those revealed with the conventional primers. RNA- and culture-based analyses using a cropland soil also suggested that microorganisms with previously unconsidered nirK or nirS are responsible for denitrification in the soil. PCR techniques still have a greater capacity for the deep analysis of target genes than PCR-independent methods including metagenome analysis, although efforts are needed to minimize the PCR biases. The methodology and the insights obtained here should allow us to achieve a more precise understanding of the ecological behavior of denitrifiers and facilitate more precise estimate of denitrification in environments.

Indexed as

DenitrificationSoil MicrobiologyActinobacteriaBacteriaBacteroidetesChloroflexiDNA PrimersLikelihood FunctionsMetagenomeNitrite ReductasesNitritesPhylogenyProteobacteriaReal-Time Polymerase Chain ReactionSoilSpirochaetalesDNA PrimersNitrite ReductasesNitritesSoil

Identifiers

PMID25756678
PMCPMC4542046

What OpenQuestion holds

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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.