| Literature DB >> 27642752 |
Ok Hwa Hwang1, Sung Back Cho1, Deug Woo Han1, Sang Ryoung Lee1, Jeong Hoon Kwag1, Sung Kwon Park2.
Abstract
Odor from buildings where pigs are housed is generated by anaerobic fermentation of undigested materials in pig slurry stored for several weeks in pit. The objective of this study was to investigate the effect of storage period on the level of odorous compounds in pig slurry and on its bacterial community. A slurry sample (15 L) was taken from the pit of a finisher pig building and incubated in acryl chambers for six- weeks. Slurry for analysis was sampled every two-week. Levels of odorous compounds in the slurry sample were drastically changed after two weeks of storage period; levels of phenols and short chain fatty acids (SCFAs) were decreased (P<0.05), whereas indoles and branched-chain fatty acids (BCFAs) were increased (P<0.05). Among dominant bacteria, Bacteroides and Porphyromonadacese_uc_g revealed a strong positive correlation with the levels of phenols and SCFAs. Populations of AC160630_g, Acholeplasmatales_uc_g, Mollicutes_uc_g and Cloacamonas_f_uc_g positively correlated with indole and BCFAs content. Taken together, levels of odorous compounds were increased after two weeks of storage, possibly because of changes in the predominant bacterial groups to those that use protein as a carbon source in the hypo-carbohydrate conditions.Entities:
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Year: 2016 PMID: 27642752 PMCID: PMC5028028 DOI: 10.1371/journal.pone.0162714
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Concentration of odorous compounds in pig slurry by storage period.
| Items (mg/L) | Storage period (weeks) | SEM | SD | |||
|---|---|---|---|---|---|---|
| 0 | 2 | 4 | 6 | |||
| Phenol | 16.02 | 13.93 | 11.28 | 9.91 | 0.36 | 2.50 |
| p-Cresol | 199.03 | 173.47 | 142.51 | 138.57 | 3.84 | 26.57 |
| Indole | 0.57 | 0.84 | 1.55 | 1.60 | 0.07 | 0.47 |
| Skatole | 3.21 | 3.27 | 5.74 | 5.95 | 0.19 | 1.35 |
| Phenols | 215.06 | 187.40 | 153.79 | 148.47 | 4.19 | 29.04 |
| Indoles | 3.78 | 4.11 | 7.29 | 7.54 | 0.26 | 1.81 |
| Acetic acid | 7,002 | 6,480 | 5,391 | 5,831 | 133.45 | 924.54 |
| Propionic acid | 2,181 | 1,858 | 1,358 | 1,424 | 57.40 | 397.64 |
| Butyric acid | 1,239 | 847 | 767 | 718 | 33.69 | 233.44 |
| Iso-Butyric acid | 610 | 603 | 731 | 772 | 15.67 | 108.60 |
| Iso-Valeric acid | 562 | 565 | 714 | 773 | 17.29 | 119.82 |
| SCFAs | 10,423 | 9,185 | 7,516 | 7,973 | 219.02 | 1,517.4 |
| BCFAs | 1,172 | 1,167 | 1,444 | 1,544 | 32.88 | 227.79 |
| pH | 8.11 | 8.39 | 8.28 | 9.08 | 0.10 | 0.38 |
1 Phenols = phenol + p-cresol.
2 Indoles = indole + skatole.
3 SCFAs (Short chain fatty acids) = acetic acid + propionic acid + butyric acid [27].
4 BCFAs (Branched-chain fatty acids) = iso-butyric acid + iso-valeric acid.
5 SEM: Standard errors of the means.
6 SD: Standard deviation.
a, b, c, d Figures with different superscripts within the same row are significantly different (P<0.05).
Pyrosequencing data in bacterial community composition in pig slurry by storage period.
| Items | Storage period (weeks) | SEM | SD | |||
|---|---|---|---|---|---|---|
| 0 | 2 | 4 | 6 | |||
| No. of total reads | 7,636 | 5,391 | 4,482 | 4,545 | 420.99 | 1,458.36 |
| No. of high-quality reads | 6,078 | 4,141 | 3,658 | 4,000 | 317.36 | 1,099.37 |
| Aver. read length (bp) | 504 | 504 | 503 | 505 | 0.28 | 0.98 |
| OTUs | 1,466 | 999 | 738 | 605 | 104.11 | 360.66 |
| Shannon-Weaver index(H’)2 | 5.63 | 5.36 | 4.78 | 4.29 | 0.16 | 0.56 |
| Chao1 index | 3,491 | 2,433 | 1,841 | 1,335 | 245.11 | 880.26 |
| Goods library coverage | 0.88 | 0.88 | 0.90 | 0.92 | 0.01 | 0.02 |
1 OTUs: Operational Taxonomic Units.
2 Shannon-Weaver (diversity index), Chao1 (richness index) and Goods library coverage were calculated using the Mothur package.
3 SEM: Standard errors of the means.
4 SD: Standard deviation.
a, b, c Figures with different superscripts within the same row are significantly different (P<0.05).
Fig 1Bacterial taxonomic composition of phylum level in pig slurry by storage period.
Sequences were classified using the EzTaxon-e database with an 80% confidence threshold. “wk” is an abbreviation to weeks.
Fig 2Bacterial taxonomic composition of genus level in pig slurry by storage period.
Bacterial genus were classified at a cut off level of >0.5% relative abundance and grouped according to phylum level. “wk” is an abbreviation to weeks.
Fig 3Hierarchical clustering result showing the group by storage period.
The clustering data was constructed using the concentrations of odorous compounds and the values of relative abundances in bacterial genus level. The scale bars represent the distance between clusters. “wk” is an abbreviation to weeks.
Fig 4(A) Principal component analysis (PCA) and (B) principal coordinate analysis (PCoA) plot result showing the group by storage period.
These data were created using the concentrations of odorous compounds and the values of relative abundances in bacterial genus level. “wk” is an abbreviation to weeks.
Correlation coefficient (R) values for the relative abundance of bacterial genera with the odorous compounds in pig slurry.
| Items | Odorous compounds | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Phenol | p-Cresol | Indole | Skatole | Acetic acid | Propionic acid | Butyric acid | I-Butyric acid | I-Valeric acid | |
| Genus | |||||||||
| 0.70 | 0.64 | -0.72 | -0.83 | 0.65 | 0.68 | 0.49 | -0.77 | -0.81 | |
| 0.84 | 0.85 | -0.84 | -0.77 | 0.76 | 0.84 | 0.89 | -0.71 | -0.76 | |
| -0.89 | -0.84 | 0.89 | 0.95 | -0.85 | -0.88 | -0.76 | 0.81 | 0.88 | |
| 0.59 | 0.54 | -0.59 | -0.72 | 0.56 | 0.57 | 0.41 | -0.62 | -0.66 | |
| 0.87 | 0.87 | -0.87 | -0.83 | 0.77 | 0.85 | 0.86 | -0.77 | -0.82 | |
| 0.75 | 0.77 | -0.75 | -0.64 | 0.76 | 0.80 | 0.89 | -0.49 | -0.57 | |
| 0.82 | 0.78 | -0.84 | -0.84 | 0.74 | 0.81 | 0.80 | -0.69 | -0.77 | |
| 0.81 | 0.80 | -0.82 | -0.78 | 0.78 | 0.83 | 0.85 | -0.66 | -0.73 | |
| 0.86 | 0.87 | -0.81 | -0.74 | 0.72 | 079 | 0.80 | -0.72 | -0.77 | |
| -0.70 | -0.75 | 0.77 | 0.77 | -0.84 | -0.81 | -0.67 | 0.69 | 0.70 | |
| 0.85 | 0.87 | -0.84 | -0.77 | 0.76 | 0.84 | 0.87 | -0.74 | -0.79 | |
| -0.77 | -0.76 | 0.75 | 0.70 | -0.63 | -0.73 | -0.80 | 0.66 | 0.72 | |
| 0.81 | 0.73 | -0.73 | -0.67 | 0.66 | 0.71 | 0.76 | -0.47 | -0.59 | |
| 0.61 | 0.57 | -0.65 | -0.76 | 0.63 | 0.62 | 0.39 | -0.65 | -0.68 | |
| 0.96 | 0.96 | -0.93 | -0.88 | 0.88 | 0.93 | 0.91 | -0.77 | -0.85 | |
| -0.95 | -0.91 | 0.95 | 0.94 | -0.86 | -0.91 | -0.83 | 0.80 | 0.88 | |
| 0.69 | 0.72 | -0.68 | -0.60 | 0.62 | 0.69 | 0.79 | -0.53 | -0.59 | |
| 0.82 | 0.81 | -0.85 | -0.90 | 0.71 | 0.78 | 0.65 | -0.93 | -0.94 | |
| 0.88 | 0.87 | -0.86 | -0.82 | 0.80 | 0.85 | 0.84 | -0.73 | -0.80 | |
| -0.96 | -0.93 | 0.95 | 0.91 | -0.84 | -0.91 | -0.89 | 0.82 | 0.89 | |
| 0.82 | 0.84 | -0.79 | -0.69 | 0.68 | 0.78 | 0.87 | -0.67 | -0.72 | |
| -0.88 | -0.88 | 0.91 | 0.93 | -0.87 | -0.90 | -0.75 | 0.86 | 0.90 | |
| -0.90 | -0.87 | 0.91 | 0.97 | -0.85 | -0.89 | -0.78 | 0.85 | 0.91 | |
| -0.70 | -0.72 | 0.69 | 0.54 | -0.62 | -0.69 | -0.80 | 0.50 | 0.56 | |
Correlation among parameters analyzed using Pearson correlation and stepwise multiple linear regression models (P<0.05).