Evidence map›Paper›PMID 25359269›Full record

ArticleJournal of microbiology (Seoul, Korea)2014

Deodorization of pig slurry and characterization of bacterial diversity using 16S rDNA sequence analysis.

Ok-Hwa Hwang, Sebastian Raveendar, Young-Ju Kim, Ji-Hun Kim, Jung-Woo Choi, Tae-Hun Kim, Dong-Yoon Choi, Che Ok Jeon, Sung-Back Cho, Kyung-Tai Lee

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In one paragraph

Article in Journal of microbiology (Seoul, Korea), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

  • Erratum issued
    Choi, Jung-Woo [added]
5 · Who and what money

Authors and funding

10 authors.

Ok-Hwa HwangNational Institute of Animal Science, Rural Development Administration, Suwon, 441-706, Republic of Korea.
Sebastian Raveendar
Young-Ju Kim
Ji-Hun Kim
Jung-Woo Choi
Tae-Hun Kim
Dong-Yoon Choi
Che Ok Jeon
Sung-Back Cho
Kyung-Tai Lee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concentration of major odor-causing compounds including phenols, indoles, short-chain fatty acids (SCFAs) and branched chain fatty acids (BCFAs) in response to the addition of powdered horse radish (PHR) and spent mushroom compost (SMC) was compared with control non-treated slurry (CNS) samples. A total of 97,465 rDNAs sequence reads were generated from three different samples (CNS, n = 2; PHR, n = 3; SMC, n = 3) using bar-coded pyrosequencing. The number of operational taxonomic units (OTUs) was lower in the PHR slurry compared with the other samples. A total of 11 phyla were observed in the slurry samples, while the phylogenetic analysis revealed that the slurry microbiome predominantly comprised members of the Bacteroidetes, Firmicutes, and Proteobacteria phyla. The rarefaction analysis showed the bacterial species richness varied among the treated samples. Overall, at the OTU level, 2,558 individual genera were classified, 276 genera were found among the three samples, and 1,832 additional genera were identified in the individual samples. A principal component analysis revealed the differences in microbial communities among the CNS, PHR, and SMC pig slurries. Correlation of the bacterial community structure with the Kyoto Encyclopedia of Genes and Genomes (KEGG) predicted pathways showed that the treatments altered the metabolic capabilities of the slurry microbiota. Overall, these results demonstrated that the PHR and S MC treatments significantly reduced the malodor compounds in pig slurry (P < 0.05).

Indexed as

MicrobiotaOdorantsAnimalsBacteriaDNA, RibosomalManurePhylogenyRNA, Ribosomal, 16SSequence Analysis, DNASoil MicrobiologySwineDNA, RibosomalManureRNA, Ribosomal, 16S

Identifiers

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.