Evidence map›Paper›PMID 23241975›Full record

ArticleApplied and environmental microbiology2013

Functional gene differences in soil microbial communities from conventional, low-input, and organic farmlands.

Kai Xue, Liyou Wu, Ye Deng, Zhili He, Joy Van Nostrand, Philip G Robertson, Thomas M Schmidt, Jizhong Zhou

Open access · bronzeAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 3% of its field
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 103 citations in OpenAlex.

  1. Pooled it
  2. Impact of biofertilizers from goat and sheep manure on rhizospheric microbial community of Cenchrus ciliaris.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
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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 at 2 institutions in 1 country.

Kai XueInstitute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.
Liyou Wu
Ye Deng
Zhili He
Joy Van Nostrand
Philip G Robertson
Thomas M Schmidt
Jizhong Zhou
University of Oklahoma · USMichigan State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Various agriculture management practices may have distinct influences on soil microbial communities and their ecological functions. In this study, we utilized GeoChip, a high-throughput microarray-based technique containing approximately 28,000 probes for genes involved in nitrogen (N)/carbon (C)/sulfur (S)/phosphorus (P) cycles and other processes, to evaluate the potential functions of soil microbial communities under conventional (CT), low-input (LI), and organic (ORG) management systems at an agricultural research site in Michigan. Compared to CT, a high diversity of functional genes was observed in LI. The functional gene diversity in ORG did not differ significantly from that of either CT or LI. Abundances of genes encoding enzymes involved in C/N/P/S cycles were generally lower in CT than in LI or ORG, with the exceptions of genes in pathways for lignin degradation, methane generation/oxidation, and assimilatory N reduction, which all remained unchanged. Canonical correlation analysis showed that selected soil (bulk density, pH, cation exchange capacity, total C, C/N ratio, NO(3)(-), NH(4)(+), available phosphorus content, and available potassium content) and crop (seed and whole biomass) variables could explain 69.5% of the variation of soil microbial community composition. Also, significant correlations were observed between NO(3)(-) concentration and denitrification genes, NH(4)(+) concentration and ammonification genes, and N(2)O flux and denitrification genes, indicating a close linkage between soil N availability or process and associated functional genes.

Indexed as

BiotaGenes, BacterialSoil MicrobiologyAgricultureCarbonMetabolic Networks and PathwaysMetagenomeMichiganMicroarray AnalysisNitrogenPhosphorusSoilSulfurCarbonNitrogenPhosphorusSoilSulfur

Identifiers

PMID23241975
PMCPMC3568620
OpenAlexW2122622888

What OpenQuestion holds

Textmetadata
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.