Evidence map›Paper›PMID 29284018›Full record

ArticlePloS one2017

Changes of microbial population and N-cycling function genes with depth in three Chinese paddy soils.

Huanhuan Wang, Xu Li, Xiang Li, Xinyu Li, Jian Wang, Huiwen Zhang

Abstract read
In one paragraph

Article in PloS one, 2017. 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.

  1. Article
  2. Article
  3. Article
  4. The Effects of MixedMicroorganisms · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
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.

Huanhuan WangKey Laboratory of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China.
Xu LiKey Laboratory of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China.
Xiang LiKey Laboratory of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China.
Xinyu LiKey Laboratory of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China.ORCID 0000-0002-6585-2330
Jian WangKey Laboratory of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China.
Huiwen ZhangKey Laboratory of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial communities play critical roles in soil nitrogen (N) cycle; however, we have limited understanding of the distribution of N-cycling microbial groups in deeper soil horizons. In this study, we used quantitative PCR to characterize the changes of microbial populations (16S rRNA and 18S rRNA) and five key N-cycling gene abundances involved in N fixation (nifH), ammonia oxidation (amoA) by ammonia-oxidizing bacteria (AOB) and ammonia-oxidizing archaea (AOA), and nitrite reduction (nirS and nirK) along profiles (0-100 cm depth) of different paddy soils from three regions (Hailun, Changshu, Yingtan) across China from north to south. We found that most microbial and N-cycling functional genes significantly decreased with soil depth; however, AOA were enriched in deeper soil layers (20-40 cm). The abundances of microbial and N-cycling functional genes generally decreased by one to two orders of magnitude in the deeper horizons relative to topsoils. The AOA gene abundance was higher than that of AOB in the paddy soil profile, and the nirS and nirK abundances were dominant in topsoil and deeper soil, respectively. All N functional genes except AOA were more abundant in Changshu than Hailun and Yingtan. High abundances and low vertical changes of N-cycling genes in Changshu suggest more dynamic N-transformations in this region. Correlation analysis showed that soil properties and climate parameters had a significant relationship with N-cycling gene abundances. Moreover, the abundance of different N-cycling genes was affected by different environmental parameters, which should be studied further to explore their roles in N cycling for sustainable agriculture and environmental management.

Indexed as

AgricultureSoil MicrobiologyBacteriaChinaFungiGenes, BacterialGenes, FungalNitrogenReal-Time Polymerase Chain ReactionRNA, Ribosomal, 16SRNA, Ribosomal, 18SNitrogenRNA, Ribosomal, 16SRNA, Ribosomal, 18S

Identifiers

PMID29284018
PMCPMC5746221

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.