Skip to main content
mSystems logoLink to mSystems
. 2023 Nov 30;8(6):e00988-23. doi: 10.1128/msystems.00988-23

Lactobacillus-driven feed fermentation regulates microbiota metabolism and reduces odor emission from the feces of pigs

Dongyan Zhang 1,, Haifeng Ji 1, Sixin Wang 1, Yajuan Liu 2, Meixia Chen 1, Hui Liu 1,
Editor: Adina Howe3
PMCID: PMC10734501  PMID: 38032191

ABSTRACT

Fermentation by Lactobacillus can increase the nutritional value of feed, which is advantageous for pig production. However, the effects of Lactobacillus-driven feed fermentation on the emission of odors from pig feces are unclear. Here, we evaluated how feed fermentation by Lactobacillus affects the concentration of odor molecules in feces (CO2, NH3, H2S, indole, and skatole) and analyzed the changes in fecal microbiota and metabolites during fecal storage. Pigs reared on fermented feed had a higher average daily gain (ADG) and lower feed-to-gain (F/G) ratio than the control group. By the 3rd and 5th days, the concentration of CO2 in feces from pigs in the fermentation group significantly decreased, and the contents of H2S, NH3, and skatole in the fermentation group were significantly lower than those in the control group on the 1st, 3rd, and 5th days of fecal storage. The fermentation group exhibited a higher Bacteroidetes abundance on the 3rd and 5th days. With prolonged fecal storage, the fermentation group exhibited a higher abundance of Weissella and Lactobacillus and a lower abundance of Streptococcus. The Lactobacillus fermentation group also showed lower levels of secondary amino acid metabolites, such as 6-hydroxyhexanoic acid and 5-aminopentanoic acid. The pure strain Weissella cibaria ZWC030, which could inhibit the production of skatole in vitro, was successfully isolated from the fermentation group. Overall, the study revealed the interrelationships among fecal microbiota, metabolites, and odor molecules. The findings provide a new avenue for the application of Lactobacillus-driven feed fermentation to promote ADG, decrease the F/G ratio in pigs during growth, and reduce environmental pollution.

IMPORTANCE

Our present study showed that dietary supplementation with feed fermented by Lactobacillus could promote the growth performance of pigs, regulate the microbiota, and inhibit the growth of harmful bacteria. It could prevent the accumulation of toxic substances and reduce odor emission from pig feces, thereby reducing environmental pollution. In addition, one key triumph of the present study was the isolation of Weissella cibaria ZWC030, and the strain could inhibit the production of skatole in vitro in our present results.

KEYWORDS: Lactobacillus fermentation, pig farming, odor emission, fecal storage, microbiota and metabolites

INTRODUCTION

Concerns regarding the emission of greenhouse gases from livestock respiration and manure are a global problem (1, 2). These odorous compounds emitted from feces not only reduce the production performance of livestock (3, 4) but also put farm workers and people living in nearby areas at risk of respiratory distress and illnesses (5, 6). Furthermore, these high odorous emissions can also cause serious ecological disturbances, inducing phenomena such as acid rain and nitrification (7, 8).

Many studies have suggested that nutrient digestibility is tightly correlated with odor emissions (9). When the levels of fermentable carbohydrates in the feed are low, the gut microbiota becomes more adept at fermenting proteins (10). NH3 is the main product of protein fermentation in the intestine (11). Meanwhile, H2S is a volatile generated by the microbial degradation of sulfur-containing amino acids (12, 13), and skatole is generated via the anaerobic bacterial transformation of tryptophan (14). It has been demonstrated that reductions in dietary protein can lower the emission of NH3 (15, 16). Previous studies have used feed additives such as benzoic acid (17), sodium butyrate (18), and xylanase enzymes (19) to reduce the emission of odors from manure. All the mechanisms regulating odor production have been linked to the composition of gut microbes (2022). Therefore, regulating the composition of intestinal microbes, their metabolic activity, and the intestinal environment may represent a feasible strategy for reducing the production of fecal odors at their source.

All species of Lactobacillus, a ubiquitous member of the intestinal microbiota, can reduce pH by producing lactic acid as the end product of carbohydrate fermentation. Some Lactobacillus strains also generate anti-microbial peptides and other metabolites that can suppress the growth of pathogenic bacteria (2325). During Lactobacillus fermentation, cell wall components, phytates, and other anti-nutritional factors present in grains can be partially degraded, and the nutritional content of feed ingredients can thus be enhanced by freeing encapsulated nutrients and making them available for livestock, such as pigs (26). In addition, some metabolites produced following fermentation, including lactic acid, can inhibit pathogen multiplication and increase short-chain fatty acid production in the gut by reducing intestinal pH (27, 28). In weaned pigs fed Lactobacillus-based probiotics, the resultant increase in nutrient digestibility leads to a decrease in the amount of substrate available for microbial fermentation in the colon, reducing the emission of ammonia (NH3), hydrogen sulfide (H2S), and total mercaptans (20). However, the changes in fecal odor, microbial composition, and metabolites after supplementation are still unclear.

A previous study suggested that fermentation with Lactobacillus can enhance the nutritional content of wheat bran and improve the growth performance of pigs, while also decreasing the emission of heavy metals (29). We hypothesized that after supplementation with fermented feed, the changes in the microbiota could influence fecal metabolism, and these changes may promote decreases in odor emission. Nevertheless, the mechanism underlying this possible link remained to be established.

Here, we tested the effects of feed fermented by Lactobacillus acidophilus ZLA012 (L. acidophilus ZLA012), a strain isolated from a healthy growing pig, on the concentration of the odor components carbon dioxide (CO2), NH3, H2S, indole, and skatole in pig feces. Further, we sought to assess how supplementation with fermented feed affects changes in the abundance of fecal microbiota and metabolites with prolonged fecal storage. In addition, we isolated a Weissella strain highly related to odor emission and studied its influence on the degradation of skatole in vitro.

MATERIALS AND METHODS

Bacterial strain

We previously isolated L. acidophilus ZLA012 from the feces of a healthy growing pig and stored it at the China General Microbiological Culture Collection Center (preservation no.: CGMCC 8491). L. acidophilus ZLA012 was cultured in de Mann, Rogosa, and Sharpe (MRS) medium. Cultures were centrifuged to harvest cells, which were then re-suspended in protectant and freeze-dried (Epsilon 2-60; Martin Christ GmbH, Germany) to generate a powder (1010 CFU/g).

Feed fermentation

Feed was solid fermented in a clean plastic bucket with screw-sealing covers. The optimum fermentation conditions were as follows: L. acidophilus ZLA012 concentration of 0.35% (wt/wt), feed-to-water ratio of 1:1.2, fermentation time of 24 h, and fermentation temperature of 37°C. The viable count of the fermented feed was 5.75 × 109 CFU/g, and the final pH was 4.11.

Animal experiments

All animal experiments were conducted at a commercial pig farm (Beijing). Seventy-two male and female landrace × large white crossbred pigs (100 days of age) with comparable initial body weights (33.85 ± 3.31 kg) were selected and separated into weight- and sex-matched groups. There were a total of two groups, each with six replicate pens and six pigs/pen. Pigs in the control group were reared on a basal diet, whereas pigs in the fermentation group were reared on a basal diet supplemented with 1% fermented feed. Table 1 shows the composition and nutrient content of the basal feed, which met the requirements of the Chinese standard GB/T 39235-2020—Pig Feed Standard(30) for growing pigs. The pigs were maintained in 12 adjacent enclosures on a concrete floor in a controlled environment. Throughout the 30 days of the experiment, the pigs were granted free access to one of two dry diets and water from one feeder and one nipple drinker. Basal diets were formulated every 5 days, and the fermented feed was added to the basal diet and mixed well before feeding each day. Both of the feed used the same feeding methods.

TABLE 1.

Composition of the basal feed of growing pigs (as fed-basis)

Ingredients (%) Contents
 Maize 68
 Soybean meal 24
 Wheat bran 4
 Premixa 4
Chemical composition
 Digestible energyb, MJ/kg 13.46
 Crude proteinc, % 16.70
 Lysineb, g/kg 8.50
 Methionineb, g/kg 2.60
 Calciumc, g/kg 6.03
 Total phosphorusc, g/kg 5.21
a

Each kilogram of complete feed contained the following: vitamin A, 5,512 IU; vitamin D3, 2,250 IU; vitamin E, 44 mg; menadione, 3.15 mg; vitamin B1, 8.1 mg; vitamin B2, 6.4 mg; vitamin B6, 3.0 mg; vitamin B12, 0.025 mg; niacin, 25 mg; pantothenic acid, 10.8 mg; biotin, 0.12 mg; Mn, 10 mg; Fe, 100 mg; Zn, 100 mg; Cu, 12 mg; I, 0.50 mg; and Se, 0.20 mg.

b

Calculated nutrient levels.

c

Measured nutrient levels.

Growth in pigs

Individual pigs were weighed on day 0 and day 30. The average daily gain (ADG) was calculated by total body weight gains (final weight minus initial weight) during measure periods divided by the corresponding feeding days. Feed intake per pen based on the pig’s intake of feed was recorded weekly to calculate average daily feed intake (ADFI) and feed-to-gain ratio [F/G, calculated as (kg feed)/(kg ADG)].

Collection of fecal samples

Six fecal samples were randomly collected from each group on the final day of the experimental period (day 30), divided into three portions each, and transferred to sterile containers. The samples were frozen in liquid nitrogen and stored at −80°C before being used for additional tests. The odor concentration, microbial composition, and metabolite profile of these samples were analyzed.

Nitrogen migration test

First, 20 mL of 10% hydrochloric acid solution was mixed well with 200 g of feces. The mixture was subsequently dried at 65°C before being pulverized into small particles and passed through a 40-mesh sieve. The total nitrogen (total N), ammonium nitrogen (NH4+-N), amide nitrogen (NO2-N), and nitrate nitrogen (NO3-N) contents of the samples were examined according to standard procedures (NY/T 1116-2014) (31).

Analysis of odor contents during fecal storage

After fresh feces were collected, 50 g of fecal samples was weighed out and placed into an airtight glass bottle. The gases emitted from the feces were pumped into a circular absorption cell, and the odor molecules were measured using sensors for CO2 (SprintIR-WX-60 sensor, 0–2,000 ppm, Gas Sensing Solutions, UK), H2S (CLE-0112-400, 0–100 ppm, Honeywell Analytics, Illinois, USA), and NH3 (CLE-1052-400, 0–500 ppm, Honeywell Analytics).

The contents of indole and skatole in the pig fecal samples were determined using liquid chromatography (1260 series, Agilent Technologies, Delaware, USA) based on a modified version of the protocol provided by Dehnhard et al. (32). The indole and skatole standards (Sigma-Aldrich, St Louis, MO, USA) were of chromatography grade with a purity >99%. To correct for any losses during the experimental procedure, 2-methylindole was applied as the internal standard. Methanol was used for sample extraction, and samples were further purified on an Amberlite XAD-8 column (Sigma-Aldrich) before high-performance liquid chromatography analysis using UV spectrophotometry at 280 nm (detection limit = 2.5 ng per injection [50 µL], corresponding to 0.2 µg/g feces). The emission of the odor gases CO2, H2S, NH3, indole, and skatole was measured on days 1, 3, and 5 of fecal storage.

16S rRNA sequencing

Fecal samples were subjected to DNA extraction using the E.Z.N.A. Stool DNA kit (Omega Bio-tek, GA, USA). The concentration and purity of the DNA were detected after purification. Total DNA isolated from the fecal samples was used as a template to amplify the bacterial 16S rRNA V3–V4 regions using PCR. Bacterial universal primers—338F (5′-ACTC CTACGGGAGGCAGCA-3′) and 806R (5′-GGACTACHVGGGTWTCTAAT-3′)—were used as the forward and reverse primers, respectively. The contents of the reaction mixture were as follows: 5× FastPfu buffer (4 µL), 2.5 mmol/L deoxynucleotide triphosphates (2 µL), 5 µmol/L forward and reverse primers (0.8 µL each), FastPfu polymerase (0.4 µL), DNA template (10 ng), and ddH2O (added to make up a volume of 20 µL). The PCR parameters were as follows: 95°C for 3 min; 27 cycles of 95°C for 30 s, 55°C for 30 s, and 72°C for 45 s; and 72°C for 10 min. PCR products obtained from the same sample were mixed and subjected to 2% agarose gel electrophoresis. The amplified products were recovered from the gel and sequenced using the Illumina Miseq PE300 platform. After quality control filtration, the alpha diversity (Chao 1 index, ACE index, Simpson index, and Shannon index) and microbial composition of each sample were determined based on the barcode sequences of each sample. Furthermore, using the RDP classifier Bayesian algorithm, taxonomic analysis was conducted based on a 97% similarity threshold for operational taxonomic units (OTUs), and the bacterial composition was determined across various levels.

Metabolic profiling

For these analyses, 100-µL aliquots of thawed fecal samples were obtained. The test was conducted using a Waters 2D UPLC (Waters, USA) series Q Exactive high-resolution mass spectrometer (Thermo Fisher Scientific, USA). Metabolite detection was performed using liquid chromatography-tandem mass spectrometry (LC–MS/MS) and Compound Discoverer 3.0 software for LC–MS/MS data processing (Thermo Fisher Scientific, USA). Differential metabolites were screened and further analyzed based on the differential weight contribution values (variable importance in projection[VIP]) of the first two principal components of the partial least squares discriminant analysis (PLS-DA) model and the fold change values.

Isolation of Weissella and inhibition of skatole in vitro

In our laboratory, using NH4Cl as the only nitrogen source, the Weissella cibaria strain ZWC030 was isolated from pig feces through the serial dilution method. The strain was isolated and cultured in MRS medium at 37°C. It was then preserved in 30% glycerol (vol/vol) at −80°C.

First, 250 µmol/L L-tryptophan was added to fecal samples and used for the skatole inhibition test in vitro. Weissella cibaria ZWC030 was grown in MRS broth at 37°C overnight. After centrifugation at 6,738 × g for 10 min, the supernatant of the culture was collected and treated with protease K at 80°C, pH = 7.0, and pH = 4.5. The supernatant was inoculated into pig feces containing L-tryptophan and stored at 25°C for 8 h and 24 h. The contents of indole and skatole were subsequently determined using the previously described method (see “Analysis of odor contents during fecal storage”).

Statistical analyses

The general linear model program in SAS software (SAS Institute, Cary, NC, USA) was applied for the analysis of the alpha-diversity indexes and odor composition of the fecal samples. Metabolic profiles and odor contents were analyzed using Tukey’s univariate analysis test, and P < 0.05 was considered significant.

RESULTS

Pig growth

The relationship between the type of feed and diet, and the values of ADG, ADFI, and F/G are detailed in Table 2. Compared with the pigs receiving standard feed, the pigs receiving fermented feed had higher final weights and ADG values (P = 0.034 and 0.021, respectively). Moreover, they showed lower F/G ratios (P = 0.024).

TABLE 2.

Effect of fermented feeds on growth indices in pigs

Items Control group Fermentation group P value SEMa
Initial weight/kg 32.77 32.93 0.125 2.574
Final weight/kg 53.88 55.11 0.034 1.722
ADG, g/day 706.11 739.33 0.021 14.231
ADFI, kg/day 1.592 1.597 0.085 0.024
F/G 2.25 2.15 0.024 0.047
a

SEM = standard error of the mean.

Nitrogen migration test

The results showed that the NH4+-N content was lower and the NO2-N content was higher in the fermentation group than in controls. The conversion rates of NO2-N/total N in the control and fermentation groups were 80.4% and 88.2%, respectively. This indicated that Lactobacillus-driven feed fermentation could reduce nitrogen and ammonia emissions in the environment (Fig. 1).

Fig 1.

Fig 1

Nitrogen migration test in the control (C) and fermentation (FR) groups. *P < 0.05.

Odor content analysis during fecal storage

The CO2 emission in this group was significantly decreased than the control group on the 3rd day (P = 0.003) and 5th day (P = 0.003). The fermentation group showed significantly lower reductions in NH3 (P = 0.005, 0.001, and 0.002, respectively) and H2S (P = 0.005, 0.003, and 0.004, respectively) levels on the 1st, 3rd, and 5th days of fecal storage, and the fermentation group exhibited the most obvious reduction in H2S emission (Fig. 2).

Fig 2.

Fig 2

Contents of CO2 (A), NH3 (B), and H2S (C) during the storage of pig feces. C: control group and FR: fermentation group. *P < 0.05.

The indole contents of fecal samples in the group of growing pigs receiving fermented feed were higher than in control group. However, the contents of skatole on the 1st, 3rd, and 5th days of fecal storage were significantly lower than those in the control group (P = 0.007, 0.004, and 0.001, respectively) (Fig. 3).

Fig 3.

Fig 3

Contents of indole (A) and skatole (B) during the storage of pig feces. C: control group and FR: fermentation group. *P < 0.05.

Alpha-diversity analysis

Analyses of ACE and Chao 1 revealed significant decreases in species richness on the 1st, 3rd, and 5th days in both the control group and the fermentation group. Further, based on the ACE, Chao 1, and Shannon indices, we concluded that on the 3rd and 5th days, species richness and diversity were higher in samples from the fermentation group than in controls (Fig. 4).

Fig 4.

Fig 4

Analysis of the alpha diversity of the fecal microbiota. Indices for bacteria are as follows: (A) Abundance-based coverage estimator (ACE); (B) Chao 1; (C) Shannon; and (D) Simpson. C1: control group on the 1st day; C3: control group on the 3rd day; C5: control group on the 5th day; R1: fermentation group on the 1st day; R3: fermentation group on the 3rd day; and R5: fermentation group on the 5th day. *P < 0.05.

Microbial composition of pig feces

OTU analyses performed using PLS-DA revealed some similarities and differences in the fecal microbiota between the two treatment conditions (Fig. 5). Fecal samples from the fermentation and control groups showed significantly distinct microbial profiles on the 1st, 3rd, and 5th days. However, the microbial profiles of fecal samples on days 3 and 5 were closely related in both treatment groups.

Fig 5.

Fig 5

PLS-DA analysis indicating the similarities and differences in OTUs at multiple levels between pigs in two feed groups. C1: control group on the 1st day; C3: control group on the 3rd day; C5: control group on the 5th day; R1: fermentation group on the 1st day; R3: fermentation group on the 3rd day; and R5: fermentation group on the 5th day.

The abundance of phylum Firmicutes was lower in fecal samples from the fermentation group than in control samples on the 1st (89.72% vs 91.49%) and 5th (87.00% vs 96.69%) days (P = 0.034 and 0.027, respectively). However, this value was comparable between the two groups on the 3rd (94.28% vs 94.25%) day of storage (P = 0.057). Although the abundance of Bacteroidetes decreased as the storage time increased, it was higher in the fermentation group than in the control group on the 3rd (3.15% vs 1.63%) and 5th (3.26% vs 0.65%) days of storage (P = 0.012 and 0.023, respectively). The fermentation group also showed a higher abundance of Actinobacteriota than the control group on the 1st (2.99% vs 1.54%) and 5th (3.01% vs 2.09%) days of storage (P = 0.031 and 0.018, respectively) (Fig. 6).

Fig 6.

Fig 6

Differences between the microbial composition of fecal samples from pigs. (A, B, C) Differences in the composition of the microbiota were assessed at the phylum level; (D, E, F) Differences in the composition of the microbiota were assessed at the genus level. C1: control group on the 1st day; C3: control group on the 3rd day; C5: control group on the 5th day; R1: fermentation group on the 1st day; R3: fermentation group on the 3rd day; and R5: fermentation group on the 5th day. *P < 0.05.

At the genus level, the abundance of most microbes tended to decrease with a prolongation of the fecal storage period with the abundance being lower on the 5th day than on the 1st day. Accordingly, the abundance of the Weissella and Lactobacillus genera decreased with the storage period. In contrast, Streptococcus showed an increase in abundance as the storage time increased. In comparison to the control group, on days 1, 3, and 5 of fecal storage, the fermentation group exhibited significantly higher abundances of Weissella (P = 0.031, 0.001, and 0.021, respectively) and Lactobacillus (P = 0.030, 0.034, and 0.046, respectively), and a significantly lower abundance of Streptococcus (P = 0.024, 0.015, and 0.038, respectively). In line with these findings, the fermentation group also showed a higher abundance of Terrisporobacter than the control group on day 1 (P = 0.016). However, on days 3 (P = 0.032) and 5 (P = 0.003) of storage, this abundance was higher in the control group. Prevotella abundance was comparable between the fermentation and control groups on day 1 (P = 0.066), but the former exhibited a higher Prevotella abundance than the latter on the 3rd (P = 0.034) and 5th (P = 0.046) days of storage (Fig. 8).

Metabolomic analysis of fecal samples

Figure 7 shows the score map obtained from PLS-DA for verifying between-group metabolomic differences. OPLS-DA highlights intergroup relationships according to simple visual examinations of spatial clustering patterns. In this study, the fecal samples from the two groups showed clearly distinct metabolomic profiles. The samples obtained on the 1st day were significantly separated from samples obtained on the 3rd and 5th days in both the fermentation and control groups.

Fig 7.

Fig 7

PLS-DA score plots of differential metabolites in fecal samples from growing pigs. C1: control group on the 1st day; C3: control group on the 3rd day; C5: control group on the 5th day; R1: fermentation group on the 1st day; R3: fermentation group on the 3rd day; and R5: fermentation group on the 5th day. *P < 0.05.

Differential metabolites among the different treatment groups

The metabolite characteristics of the two groups of growing pigs are detailed in Table 3. Notably, 157 metabolites (65 positive ions and 92 negative ions), 29 metabolites (11 positive ions and 18 negative ions), and 686 metabolites (536 positive ions and 150 negative ions) showed differences between the fermentation and control groups on the 1st, 3rd, and 5th days of fecal storage. In particular, secondary amino acid metabolites, such as 6-hydroxyhexanoic acid, N-methyl-α-aminobutyric acid, 5-aminopentanoic acid, cinnamic acid, and norleucine, showed increasing levels with an increase in the fecal storage time in both groups. However, the rate of increase was slower in the fermentation group. In addition, in comparison to controls, fecal samples from the fermentation group exhibited a reduction in M-coumaric acid levels on the 1st day of fecal storage and a contrasting increase on the 3rd day (Fig. 8).

TABLE 3.

Metabolite characteristics of fecal samples obtained from different groups of growing pigsa

Fermentation group vs control group Metabolites Positive ions Negative ions
1st 157 65 92
3rd 29 11 18
5th 686 536 150
a

1st, feces on the 1st day; 3rd, feces on the 3rd day; and 5th, feces on the 5th day.

Fig 8.

Fig 8

Analysis of major differential metabolites in fecal samples from growing pigs. (A) major differential metabolites on the 1st day; (B) major differential metabolites on the 3rd day; (C) major differential metabolites on the 5th day. C1: control group on the 1st day; C3: control group on the 3rd day; C5: control group on the 5th day; R1: fermentation group on the 1st day; R3: fermentation group on the 3rd day; and R5: fermentation group on the 5th day. *P < 0.05.

Differences in the enriched pathways

A total of 80, 118, and 179 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were differentially enriched between fecal samples from the fermentation and control groups on days 1, 3, and 5 of storage. Most metabolites were linked to one or more metabolic pathways, microbial metabolism in diverse environments, the biosynthesis of secondary metabolites, and the biosynthesis of plant secondary metabolites with different levels of KEGG enrichment depending on the fecal storage period (Table 4).

TABLE 4.

Major metabolic pathways detected in fecal samples from growing pigsa

Pathway name R1 vs C1 R3 vs C3 R5 vs C5
Metabolic pathways 31 16 52
Biosynthesis of secondary metabolites 9 3 20
Microbial metabolism in diverse environments 8 4 12
Biosynthesis of plant secondary metabolites 7 2 6
Tryptophan metabolism 6 1 5
Biosynthesis of alkaloids derived from ornithine, lysine, and nicotinic acid 5 2 3
Tyrosine metabolism 4 1 3
Lysine degradation 4 3 4
Biosynthesis of alkaloids derived from shikimate pathway 3 2 5
Purine metabolism 1 2 3
Citrate cycle 3 0 1
Biosynthesis of amino acids 3 1 3
a

R1 vs C1, fermentation group vs control group on the 1st day; R3 vs C3, fermentation group vs control group on the 3rd day; and R5 vs C5, fermentation group vs control group on the 5th day.

Isolation of Weissella and its inhibition of skatole in vitro

The specific strain was identified as Weissella cibaria ZWC030 in our laboratory. The effect of the strain supernatant on the concentration of indole and skatole (Fig. 9) was examined. A higher skatole content was noted after treatment with the strain supernatant and pH adjustment to 7.0 than after treatment with protease K, at 80°C for both 8 h and 24 h. Meanwhile, treatment with the strain supernatant after adjustment to pH 4.5 yielded the lowest skatole content among all tested treatments.

Fig 9.

Fig 9

Effect of Weissella cibaria ZWC030 on skatole concentrations following different treatments: (A) 8 h and (B) 24 h. *P < 0.05.

DISCUSSION

The interrelationships among intestinal health, the microbiota, and growth have attracted increasing attention in the pig farming industry (33). Several studies have reported that feeds supplemented with Lactobacillus spp. can enhance growth in pigs (34, 35). In line with these findings, the present study found that after 30 days of feed modification, pigs receiving fermented feed had higher final weights and ADG values as well as lower F/G ratios than pigs receiving standard feed. During fermentation, microorganisms convert basic substrates into new molecules, such as biomass, enzymes, and primary and secondary metabolites (36). Lactobacillus fermentation can yield compounds with biological activities and good bioavailability, including amino acids, peptides, and other nitrogenous compounds (37). Therefore, one possible explanation for our findings may be the increase in nutrient digestibility in pigs due to Lactobacillus fermentation.

The digestion and absorption of a majority of dietary proteins occur within the small intestine. Meanwhile, undigested proteins are transported to the hindgut, where they serve as substrates for microbial fermentation. In the present study, we used the nitrogen migration test to understand odor changes in pig feces. The results showed that the fermentation group had lower NH4+-N and higher NO2-N values than the control group, with the conversion rates of NO2-N/total N being 88.2% and 80.4%, respectively. These changes indicated that supplementation with feed fermented by Lactobacillus could reduce the environmental emissions of nitrogen from pig feces.

Results for the emission of odorous compounds (3840), which are produced during the microbial degradation of nutrients (4143), demonstrated that probiotics could decrease the contents of sulfur and ammonia compounds in feces, reducing their odor. The present study analyzed changes in fecal odor with prolonged storage of feces. The findings revealed that supplementation with feed fermented by Lactobacillus could reduce the emission of NH3, H2S, and CO2 from pig feces. The most obvious effect was the reduction in H2S emissions on the 3rd day. Meanwhile, NH3 and CO2 emissions were reduced by more than 23% and more than 22%, respectively. It had been said that the lactic acid produced by Lactobacillus strains could lower the pH in the digestive tract, thus increasing the activities of several important digestive enzymes (44). Growing pigs supplemented with multi-enzyme could significantly reduce fecal NH3 and H2S concentrations by more than 40% and 20% (45). In addition, the changes in gut microbiota caused by dietary supplementation could influence manure odor emissions. Hu et al. (46) reported that Lactobacillus promoted the growth of “good” bacteria and thereby reduced fecal ammonia concentrations. Therefore, the mechanism for Lactobacillus-fermented feed affecting the odor emission may be due to their functions in promoting the absorption of nutrients and improving the balance of the intestinal microbiota.

Indole and skatole are the two primary final products of intestinal bacteria. Among them, skatole is more easily noticeable as it is widespread in animal feces, wastewater, sewage sludges, etc., and its concentrations can reach 72.2 mg/kg (14, 47). Notably, its removal is very important (48). Successive studies have shown that Rhodopseudomonas, Cupriavidus, and Acinetobacter can remove skatole and have characterized the conditions for its degradation (4952). Nevertheless, the use of these microbial strains for the degradation of skatole remains limited because skatole is biotoxic and recalcitrant. Our results suggest that skatole emissions can be reduced at their source by supplementing standard feed with Lactobacillus fermented feed in growing pigs.

The intestinal microbiota serves as a key player in the processes of nutrient digestion and absorption in pigs. Alterations in the gut microbiota due to dietary supplementation have been reported to influence odor emissions from manure (18, 53, 54). In our research, we first analyzed the alpha diversity of the microbiota during fecal storage, finding that the species richness significantly decreases as the storage time increases . Based on the diversity of the bacterial communities, the storage time significantly altered the relative abundance of certain taxa in the feces. The abundance of most microbes at the genus level decreased along with the time, for example, Prevotella and Lachnospira decreased on the 3rd day and disappeared on the 5th day. However, in our present study, feces in the fermentation group had higher community richness (ACE and Chao) and diversity (Simpson and Shannon index) than those in control group on the 3rd and 5th days, and the genus of Weissella, Pediococcus, Bacteroides, and Acinetobacter in the control group appeared to be diminished compared with fermentation group. A study conducted by Yang et al. (55) revealed that diet supplementation with soybean oligosaccharides increases the richness of the microbiota and decreases skatole levels in the cecal digesta of broilers. Liu et al. (22) reported that the alpha diversity of the microbiota in broilers was the highest, and the concentration of skatole in cecal digesta was the lowest, after supplementation with 3.5% soybean oligosaccharides than after supplementation at levels of 0.0%, 0.5%, and 2.0%. Our study, therefore, also demonstrated a correlation between the odor concentration and microbiota diversity.

We used PLS-DA to analyze the fecal microbiota differences at the OTU level between the two treatment conditions, and dots of different colors or shapes represented fecal samples under different conditions. In the present results, owing to the prolongation of fecal storage, the microbial composition on day 5 was more different from that on day 1 in control samples (x-axis). The results showed that significant differences were found between the fecal samples in fermentation and control groups (y-axis). The PLS-DA was consistent with the distribution results obtained from microbiota. As the storage time increased, the abundance of Bacteroidetes phylum significantly decreased. However, pigs in fermentation group exhibited a higher abundance of Bacteroidetes. In addition, the fermentation group exhibited a higher Prevotella abundance on the 3rd and 5th days of fecal storage. Prevotella has been reported to dominate the fecal metagenome of swine animals and is crucial for carbohydrate metabolism (56). Therefore, we speculate that there is a close relationship between the abundance of Bacteroidetes, including Prevotella, and the emission of odors. Moreover, our present study showed an increase in the abundance of Streptococcus with increasing storage time, and the fermentation group showed a lower abundance of Streptococcus. In the large intestine of monogastric animals, the proteolytic activity has been mainly attributed to the genera of Streptococcus, Propionibacterium, Fusobacterium, and Clostridium (11), and a high abundance of Streptococcus is considered pathogenic in swine (57). Zhou et al. (58) reported that odor could be reduced through inhibiting the growth of pathogenic microbes. Liu et al. (22) suggested that odor production was associated with the abundance of Escherichia genus. Our earlier studies indicated that the addition of Lactobacillus reuteri ZLR003 to weaned piglets (59) and L. acidophilus to growing pigs (60) could decrease the abundance of fecal Streptococcus. All of these results suggested that the odor reduction in our present study might be associated with the decreased abundance of Streptococcus.

Our present study also suggests that L. acidophilus can regulate the proportion of the genus Weissella in feces. It has been said that the Weissella genus is well known for producing several bacteriocins, known as weissellicins, which represent a potential biotechnological tool for killing pathogens and maintaining biopreservation (6163). Weissella species are commonly used in traditional fermentation (64), but reports on their use in animal production have been limited. A previous study found that fermenting Sichuan pickle with Weissella cibaria and Lactobacillus plantarum could improve its quality; in particular, the pH value of Sichuan pickle decreased from 7.88–7.58 to 3.55–3.45 when compared with Sichuan pickle fermented using mono-inoculation with Lactobacillus plantarum. Moreover, four additional non-volatile organic acids (lactic acid, acetic acid, malic acid, and citric acid) could be detected (65). The results remind us that the increased abundance of Weisseria induced by Lactobacillus acidophilus fermentation feed may promote the utilization of amino acids and reduce the production of odor, but further research is still warranted.

Few studies have reported metabolite changes during fecal storage. In the present study, the contents of secondary amino acid metabolites, such as 6-hydroxyhexanoic acid, N-methyl-α-aminobutyric acid, 5-aminopentanoic acid, cinnamic acid, and norleucine, increased as the storage time increased, irrespective of which diet the growing pigs were on. However, the rate of increase was slower in the fermentation group. The production of 5-aminopentanoic acid is related to amino acid metabolism in organisms, with a previous study reporting that its contents significantly increase in frogs exposed to Pb pulses (66). Metabolites altered by 5-aminopentanoic acid have also been identified in the plasma of patients with angioimmunoblastic T-cell lymphoma (54). However, in our study, the contents of M-coumaric acid first decreased and then increased in the fermentation group. M-coumaric acid is an isomer of hydroxycinnamic acid, with p-coumaric acid exerting an inhibitory effect on tyrosinase and showing some beneficial effects, such as the suppression of IL-8 and the subsequent enhancement of antioxidant enzyme activity (67). Overall, fresh feces have an abundance of microbiota and metabolites, which serve as key players in the processes of nutrient digestion and absorption in pigs. However, previous research showed that urine is used to measure patterns of metabolic components, with total energy and nitrogen being the most common components estimated (68). Therefore, we may consider using a fecal-urine mixture for further research.

Previously, some Gram-negative and aerobic bacterial strains, such as Pseudomonas aeruginosa Gs (69), Pseudomonas putida LPC24 (70), and Burkholderia sp. IDO3 (71), had been isolated with skatole-degrading capacity. One key innovation of our present study was the isolation of Weissella cibaria ZWC030, which was derived from pig intestines and belonged to facultative anaerobic bacteria. We found that the skatole content was higher after treatment with this strain’s supernatant and adjustment to pH 7.0 than after treatment with protease K, at 80°C for 8 h and 24 h. However, when the supernatant pH was adjusted to 4.5, it yielded the lowest skatole concentration among all the treatment groups. It has been reported that skatole is produced from indoleacetic acid via decarboxylation, which is catalyzed by indoleacetic acid decarboxylase (14)—a pH-sensitive member of the glycine radical enzyme superfamily (72). Therefore, our preliminary skatole inhibition test indicated that the organic acids produced by Weissella cibaria ZWC030 could inhibit the conversion of tryptophan to skatole, which showed good characteristic in the reducing of fecal odors.

Conclusion

Overall, this study showed that dietary supplementation with feed fermented by Lactobacillus could regulate the microbiota and inhibit the growth of harmful bacteria. Additionally, it could prevent the accumulation of toxic substances and reduce odor emission from pig feces, thereby reducing environmental pollution. Although rigorous future studies are warranted in this field to address some unanswered questions, our findings provide a novel avenue for the research and development of special probiotics that promote reduced odor emission from pig feces.

ACKNOWLEDGMENTS

This study was funded by the National Key R&D Program of China (2022YFD1300400), the Innovation Capacity Building Project of the Beijing Academy of Agriculture and Forestry Sciences (KJCX20220422, KJCX20210426), and the Public Institution Project of Institute of Animal Husbandry and Veterinary Medicine (XMS202307).

D.Z.: writing—original draft and data curation; H.J.: investigation; H.L.: formal analysis and data curation; S.W.: methodology and software; Y.L.: data curation; and M.C.: formal analysis. All the authors read and approved the final manuscript.

Contributor Information

Dongyan Zhang, Email: zhdy203@126.com.

Hui Liu, Email: liuhui860@sina.com.

Adina Howe, Iowa State University, Ames, Iowa, USA.

DATA AVAILABILITY

Data have been deposited in BioProject under accession number PRJNA956336.

ETHICS APPROVAL

This study was performed according to the relevant animal welfare guidelines (IHVM11-2302-8) of the Animal Care and Use Committee of the Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, China.

REFERENCES

  • 1. Dennehy C, Lawlor PG, Jiang Y, Gardiner GE, Xie S, Nghiem LD, Zhan X. 2017. Greenhouse gas emissions from different pig manure management techniques: a critical analysis. Front Environ Sci Eng 11. doi: 10.1007/s11783-017-0942-6 [DOI] [Google Scholar]
  • 2. Chen Y, Shen D, Zhang L, Zhong R, Liu Z, Liu L, Chen L, Zhang H. 2020. Supplementation of non-starch polysaccharide enzymes cocktail in a corn-miscellaneous meal diet improves nutrient digestibility and reduces carbon dioxide emissions in finishing pigs. Animals (Basel) 10:232. doi: 10.3390/ani10020232 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Liu Z, Liu Y, Murphy J, Maghirang R. 2017. Ammonia and methane emission factors from cattle operations expressed as losses of dietary nutrients or energy. Agriculture 7:16. doi: 10.3390/agriculture7030016 [DOI] [Google Scholar]
  • 4. Shi Q, Wang W, Chen M, Zhang H, Xu S. 2019. Ammonia induces Treg/Th1 imbalance with triggered NF-κB pathway leading to chicken respiratory inflammation response. Sci Total Environ 659:354–362. doi: 10.1016/j.scitotenv.2018.12.375 [DOI] [PubMed] [Google Scholar]
  • 5. Douglas P, Robertson S, Gay R, Hansell AL, Gant TW. 2018. A systematic review of the public health risks of bioaerosols from intensive farming. Int J Hyg Environ Health 221:134–173. doi: 10.1016/j.ijheh.2017.10.019 [DOI] [PubMed] [Google Scholar]
  • 6. Thome P. 2019. Industrial livestock production facilities: airborne emissions, p 652–660. In Encyclopedia of environmental health (second edition). Elsevier, Amsterdam. doi: 10.1016/B978-0-12-409548-9.11862-7 [DOI] [Google Scholar]
  • 7. Ushida K, Hashizume K, Miyazaki K, Kojima Y, Takakuwa S. 2003. Isolation of Bacillus sp. as a volatile sulfur-degrading bacterium and its application to reduce the fecal odor of pig. Asian-australas J Anim Sci 16:1795–1798. doi: 10.5713/ajas.2003.1795 [DOI] [Google Scholar]
  • 8. Wang Y, Cho JH, Chen YJ, Yoo JS, Huang Y, Kim HJ, Kim IH. 2009. The effect of Probiotic Bioplus 2B on growth performance, dry matter and nitrogen digestibility and slurry noxious gas emission in growing pigs. Livest Sci 120:35–42. doi: 10.1016/j.livsci.2008.04.018 [DOI] [Google Scholar]
  • 9. Nahm KH. 2003. Influence of fermentable carbohydrates on shifting nitrogen excretion and reducing ammonia emission of pigs. Crit Rev Environ Sci Technol 33:165–186. doi: 10.1080/10643380390814523 [DOI] [Google Scholar]
  • 10. Rist VTS, Weiss E, Eklund M, Mosenthin R. 2013. Impact of dietary protein on microbiota composition and activity in the gastrointestinal tract of piglets in relation to gut health: a review. Animal 7:1067–1078. doi: 10.1017/S1751731113000062 [DOI] [PubMed] [Google Scholar]
  • 11. Davila A-M, Blachier F, Gotteland M, Andriamihaja M, Benetti P-H, Sanz Y, Tomé D. 2013. Intestinal luminal nitrogen metabolism: role of the gut microbiota and consequences for the host. Pharmacol Res 68:95–107. doi: 10.1016/j.phrs.2012.11.005 [DOI] [PubMed] [Google Scholar]
  • 12. Freney J. 1967. Sulfur-containing organics, p 229–259. In Soil Biochemistry. Marcel Dekker, New York. [Google Scholar]
  • 13. Lobel L, Cao YG, Fenn K, Glickman JN, Garrett WS. 2020. Diet posttranslationally modifies the mouse gut microbial proteome to modulate renal function. Science 369:1518–1524. doi: 10.1126/science.abb3763 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Liu D, Wei Y, Liu X, Zhou Y, Jiang L, Yin J, Wang F, Hu Y, Nanjaraj Urs AN, Liu Y, Ang EL, Zhao S, Zhao H, Zhang Y. 2018. Indole acetate decarboxylase is a glycyl radical enzyme catalysing the formation of malodorant skatole. Nat Commun 9:4224. doi: 10.1038/s41467-018-06627-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Le PD, Aarnink AJA, Jongbloed AW, Peet-Schwering CMCV der, Ogink NWM, Verstegen MWA. 2007. Effects of dietary crude protein level on odour from pig manure. Animal 1:734–744. doi: 10.1017/S1751731107710303 [DOI] [PubMed] [Google Scholar]
  • 16. Leek ABG, Hayes ET, Curran TP, Callan JJ, Beattie VE, Dodd VA, O’Doherty JV. 2007. The influence of manure composition on emissions of odour and ammonia from finishing pigs fed different concentrations of dietary crude protein. Bioresour Technol 98:3431–3439. doi: 10.1016/j.biortech.2006.11.003 [DOI] [PubMed] [Google Scholar]
  • 17. Murphy DP, O’Doherty JV, Boland TM, O’Shea CJ, Callan JJ, Pierce KM, Lynch MB. 2011. The effect of benzoic acid concentration on nitrogen metabolism, manure ammonia and odour emissions in finishing pigs. Anim Feed Sci Technol 163:194–199. doi: 10.1016/j.anifeedsci.2010.10.009 [DOI] [Google Scholar]
  • 18. Xu J, Xie G, Li X, Wen X, Cao Z, Ma B, Zou Y, Zhang N, Mi J, Wang Y, Liao X, Wu Y. 2021. Sodium butyrate reduce ammonia and hydrogen sulfide emissions by regulating bacterial community balance in swine cecal content in vitro. Ecotox Environ Safe 226:112827. doi: 10.1016/j.ecoenv.2021.112827 [DOI] [PubMed] [Google Scholar]
  • 19. O’Shea CJ, Mc Alpine PO, Solan P, Curran T, Varley PF, Walsh AM, Doherty JVO. 2014. The effect of protease and xylanase enzymes on growth performance, nutrient digestibility, and manure odour in grower-finisher pigs. Anim Feed Sci Technol 189:88–97. doi: 10.1016/j.anifeedsci.2013.11.012 [DOI] [Google Scholar]
  • 20. Zhao PY, Kim IH. 2015. Effect of direct-fed microbial on growth performance, nutrient digestibility, fecal noxious gas emission, fecal microbial flora and diarrhea score in weanling pigs. Anim Feed Sci Technol 200:86–92. doi: 10.1016/j.anifeedsci.2014.12.010 [DOI] [Google Scholar]
  • 21. Yang GQ, Yin Y, Liu HY, Liu GH. 2016. Effects of dietary oligosaccharide supplementation on growth performance, concentrations of the major odor-causing compounds in excreta, and the cecal microbiota of broilers. Poult Sci 95:2342–2351. doi: 10.3382/ps/pew124 [DOI] [PubMed] [Google Scholar]
  • 22. Liu HY, Li X, Zhu X, Dong WG, Yang GQ. 2021. Soybean oligosaccharides attenuate odour compounds in excreta by modulating the caecal microbiota in broilers. Animal 15:100159. doi: 10.1016/j.animal.2020.100159 [DOI] [PubMed] [Google Scholar]
  • 23. Cotter PD, Hill C, Ross RP. 2005. Bacteriocins: developing innate immunity for food. Nat Rev Microbiol 3:777–788. doi: 10.1038/nrmicro1273 [DOI] [PubMed] [Google Scholar]
  • 24. Pringsulaka O, Rueangyotchanthana K, Suwannasai N, Watanapokasin R, Amnueysit P, Sunthornthummas S, Sukkhum S, Sarawaneeyaruk S, Rangsiruji A. 2015. In vitro screening of lactic acid bacteria for multi-strain probiotics. Livest Sci 174:66–73. doi: 10.1016/j.livsci.2015.01.016 [DOI] [Google Scholar]
  • 25. Alcántara C, Bäuerl C, Revilla-Guarinos A, Pérez-Martínez G, Monedero V, Zúñiga M. 2016. Peptide and amino acid metabolism is controlled by an OmpR-family response regulator in Lactobacillus casei. Mol Microbiol 100:25–41. doi: 10.1111/mmi.13299 [DOI] [PubMed] [Google Scholar]
  • 26. Humer E, Wetscherek W, Schwarz C, Schedle K. 2014. Effects of maize conservation techniques on the apparent total tract nutrient and mineral digestibility and microbial metabolites in the faeces of growing pigs. Anim Feed Sci Technol 197:176–184. doi: 10.1016/j.anifeedsci.2014.08.006 [DOI] [Google Scholar]
  • 27. Schokker D, Zhang J, Vastenhouw SA, Heilig HGHJ, Smidt H, Rebel JMJ, Smits MA. 2015. Longlasting effects of early-life antibiotic treatment and routine animal handling on gut microbiota composition and immune system in pigs. PLoS One 10:e0116523. doi: 10.1371/journal.pone.0116523 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Loh TC, Thu TV, Foo HL, Bejo MH. 2013. Effects of different levels of metabolite combination produced by Lactobacillus plantarum on growth performance, diarrhoea, gut environment and digestibility of postweaning piglets. J Appl Anim Res 41:200–207. doi: 10.1080/09712119.2012.741046 [DOI] [Google Scholar]
  • 29. Zhang DY, Liu H, Wang SX, Liu YJ, Ji HF. 2023. Wheat bran fermented by Lactobacillus regulated the bacteria-fungi composition and reduced fecal heavy metals concentrations in growing pigs. Sci Total Environ 858:159828. doi: 10.1016/j.scitotenv.2022.159828 [DOI] [PubMed] [Google Scholar]
  • 30.Feeding Standard of Swine 2020. China Agriculture Press. China: Beijing. [Google Scholar]
  • 31. Fertilizers-determination of nitrate nitrogen, ammonium nitrogen, amide nitrogen content. NY/T 1116-2014. Ministry of Agriculture of the People’s Republic of China. Available from: https://www.chinesestandard.net/PDF/BOOK.aspx/NYT1116-2014 [Google Scholar]
  • 32. Dehnhard M, Bernal-Barragan H, Claus R. 1991. Rapid and accurate high-performance liquid chromatographic method for the determination of 3-methylindole (skatole) in faeces of various species. J Chromatogr Biomed Appl 566:101–107. doi: 10.1016/0378-4347(91)80114-R [DOI] [PubMed] [Google Scholar]
  • 33. Kim SW, Duarte ME. 2021. Understanding intestinal health in nursery pigs and the relevant nutritional strategies. Anim Biosci 34:338–344. doi: 10.5713/ab.21.0010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Giang HH, Viet TQ, Ogle B, Lindberg JE. 2011. Effects of supplementation of probiotics on the performance nutrient digestibility and fecal microflora in growing- finishing pigs. Asian Australas J Anim Sci 24:655–661. doi: 10.5713/ajas.2011.10238 [DOI] [Google Scholar]
  • 35. Lan R, Tran H, Kim I. 2017. Effects of probiotic supplementation in different nutrient density diets on growth performance, nutrient digestibility, blood profiles, fecal microflora and noxious gas emission in weaning pig. J Sci Food Agric 97:1335–1341. doi: 10.1002/jsfa.7871 [DOI] [PubMed] [Google Scholar]
  • 36. Garrido-Galand S, Asensio-Grau A, Calvo-Lerma J, Heredia A, Andrés A. 2021. The potential of fermentation on nutritional and technological improvement of cereal and legume flours: a review. Food Res Int 145:110398. doi: 10.1016/j.foodres.2021.110398 [DOI] [PubMed] [Google Scholar]
  • 37. Hole AS, Rud I, Grimmer S, Sigl S, Narvhus J, Sahlstrøm S. 2012. Improved Ioavailability of dietary phenolic acids in whole grain barley and oat groat following fermentation with probiotic Lactobacillus acidophilus, Lactobacillus johnsonii, and Lactobacillus reuteri. J Agric Food Chem 60:6369–6375. doi: 10.1021/jf300410h [DOI] [PubMed] [Google Scholar]
  • 38. Zhao PY, Wang JP, Kim IH. 2013. Evaluation of dietary fructan supplementation on growth performance, nutrient digestibility, meat quality, fecal microbial flora, and fecal noxious gas emission in finishing pigs. J Anim Sci 91:5280–5286. doi: 10.2527/jas.2012-5393 [DOI] [PubMed] [Google Scholar]
  • 39. Tactacan GB, Cho SY, Cho JH, Kim IH. 2016. Performance responses, nutrient digestibility, blood characteristics, and measures of gastrointestinal health in weanling pigs fed protease enzyme. Asian-Australas J Anim Sci 29:998–1003. doi: 10.5713/ajas.15.0886 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Sampath V, Shanmugam S, Park JH, Kim IH. 2020. The effect of black pepper (piperine) extract supplementation on growth performance, nutrient digestibility, fecal microbial, fecal gas emission, and meat quality of finishing pigs. Animals (Basel) 10:11. doi: 10.3390/ani10111965 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Jensen MT, Hansen LL. 2006. Feeding with chicory roots reduces the amount of odorous compounds in colon and rectal contents of pigs. Anim Sci 82:369–376. doi: 10.1079/ASC200649 [DOI] [Google Scholar]
  • 42. Le PD, Aarnink AJA, Ogink NWM, Becker PM, Verstegen MWA. 2005. Odour fromanimal production facilities: its relationship to diet. Nutr Res Rev 18:3–30. doi: 10.1079/NRR200592 [DOI] [PubMed] [Google Scholar]
  • 43. Chu GM, Lee SJ, Jeong HS, Lee SS. 2011. Efficacy of probiotics from anaerobic microflora with prebiotics on growth performance and noxious gas emission in growing pigs. Anim Sci J 82:282–290. doi: 10.1111/j.1740-0929.2010.00828.x [DOI] [PubMed] [Google Scholar]
  • 44. Lyberg K, Lundh T, Pedersen C, Lindberg JE. 2006. Influence of soaking, fermentation and phytase supplementation on nutrient digestibility in pigs offered a grower diet based on wheat and barley. Anim Sci 82:853–858. doi: 10.1017/ASC2006109 [DOI] [Google Scholar]
  • 45. Kim JH, Ko GP, Son KH, Ku BH, Bang MA, Kang MJ, Park HY. 2022. Arazyme in combination with dietary carbohydrolases influences odor emission and gut microbiome in growing-finishing pigs. Sci Total Environ 848:157735. doi: 10.1016/j.scitotenv.2022.157735 [DOI] [PubMed] [Google Scholar]
  • 46. Hu J, Park JH, Kim IH. 2022. Effect of dietary supplementation with Lactobacillus plantarum on growth performance, fecal score, fecal microbial counts, gas emission and nutrient digestibility in growing pigs. Anim Feed Sci Technol 290:115295. doi: 10.1016/j.anifeedsci.2022.115295 [DOI] [Google Scholar]
  • 47. Zhou Z, Zheng W, Shang W, Du H, Li G, Yao W. 2015. How host gender affects the bacterial community in pig feces and its correlation to skatole production. Ann Microbiol 65:2379–2386. doi: 10.1007/s13213-015-1079-0 [DOI] [Google Scholar]
  • 48. Ma Q, Meng N, Li Y, Wang J. 2021. Occurrence, impacts, and microbial transformation of 3-methylindole (skatole): a critical review. J Hazard Mater 416:126181. doi: 10.1016/j.jhazmat.2021.126181 [DOI] [Google Scholar]
  • 49. Meng X, He ZF, Li HJ. 2013. Purification and characterization of a novel skatole degrading protease from Lactobacillus brevis 1.12. Food Sci Biotechnol 22:1–7. doi: 10.1007/s10068-013-0224-4 [DOI] [Google Scholar]
  • 50. Fukuoka K, Ozeki Y, Kanaly RA. 2015. Aerobic biotransformation of 3-methylindole to ring cleavage products by Cupriavidus sp. strain KK10. Biodegradation 26:359–373. doi: 10.1007/s10532-015-9739-0 [DOI] [PubMed] [Google Scholar]
  • 51. Sharma N, Doerner KC, Alok PC, Choudhary M. 2015. Skatole remediation potential of Rhodopseudomonas palustris WKU-KDNS3 isolated from an animal waste lagoon. Lett Appl Microbiol 60:298–306. doi: 10.1111/lam.12379 [DOI] [PubMed] [Google Scholar]
  • 52. Tesso TA, Zheng A, Cai H, Liu G. 2019. Isolation and characterization of two Acinetobacter species able to degrade 3-methylindole. PLoS One 14:e0211275. doi: 10.1371/journal.pone.0211275 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Ferket PR, Heugten EV, Kempen T, Angel R. 2002. Nutritional strategies to reduce environmental emissions from non-ruminants. J Anim Sci 80:E168–E182. doi: 10.2527/animalsci2002.80E-Suppl_2E168x [DOI] [Google Scholar]
  • 54. Park S, Cho S, Hwang O. 2020. Effects of Italian ryegrass (IRG) supplementation on animal performance, gut microbial compositions and odor emission from manure in growing pigs. Agronomy 10:647. doi: 10.3390/agronomy10050647 [DOI] [Google Scholar]
  • 55. Yang H, Lei T, Li C, Yu H, Chen Z. 2019. Potential metabolites with diagnostic value in plasma for angioimmunoblastic T-cell lymphoma by LC-MS based untargeted metabonomics study. Blood 134:5234–5234. doi: 10.1182/blood-2019-129897 [DOI] [Google Scholar]
  • 56. Surana NK, Kasper DL. 2017. Moving beyond microbiome-wide associations to causal microbe identification. Nature 552:244–247. doi: 10.1038/nature25019 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57. Zhao J, Bai Y, Tao S, Zhang G, Wang J, Liu L, Zhang S. 2019. Fiber-rich foods affected gut bacterial community and short-chain fatty acids production in pig model. J Funct Foods 57:266–274. doi: 10.1016/j.jff.2019.04.009 [DOI] [Google Scholar]
  • 58. Zhou XL, Kong XF, Yang XJ, Yin YL. 2012. Soybean oligosaccharides alter colon shortchain fatty acid production and microbial population in vitro. J Anim Sci 90:37–39. doi: 10.2527/jas.50269 [DOI] [PubMed] [Google Scholar]
  • 59. Zhang DY, Liu H, Wang SX, Zhang W, Wang SQ, Wang YM, Ji HF. 2021. Sex-dependent changes in the microbiota profile, serum metabolism, and hormone levels of growing pigs after dietary supplementation with Lactobacillus. Appl Microbiol Biotechnol 105:4775–4789. doi: 10.1007/s00253-021-11310-1 [DOI] [PubMed] [Google Scholar]
  • 60. Zhang DY, Liu H, Wang SX, Zhang W, Wang J, Tian HW, Wang YM, Ji HF. 2019. Fecal microbiota and its correlation with fatty acids and free amino acids metabolism in piglets after a Lactobacillus strain oral administration. Front Microbiol 10:785. doi: 10.3389/fmicb.2019.00785 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61. Pal A, Ramana KV. 2010. Purification and characterization of bacteriocin from Weissella paramesenteroides DFR-8, an isolate from cucumber (Cucumis sativus). J Food Biochem 34:932–948. doi: 10.1111/j.1745-4514.2010.00340.x [DOI] [Google Scholar]
  • 62. Goh HF, Philip K. 2015. Purification and characterization of bacteriocin produced by Weissella confusa A3 of dairy origin. PLoS One 10:e0140434. doi: 10.1371/journal.pone.0140434 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63. Leong K-H, Chen Y-S, Lin Y-H, Pan S-F, Yu B, Wu H-C, Yanagida F. 2013. Weissellicin L, a novel bacteriocin from sian-sianzih-isolated Weissella hellenica 4-7. J Appl Microbiol 115:70–76. doi: 10.1111/jam.12218 [DOI] [PubMed] [Google Scholar]
  • 64. Kavitake D, Devi PB, Shetty PH. 2020. Overview of exopolysaccharides produced by Weissella genus-a review. Int J Biol Macromol 164:2964–2973. doi: 10.1016/j.ijbiomac.2020.08.185 [DOI] [PubMed] [Google Scholar]
  • 65. Xiang W-L, Zhang N-D, Lu Y, Zhao Q-H, Xu Q, Rao Y, Liu L, Zhang Q. 2020. Effect of Weissella cibaria co-inoculation on the quality of Sichuan pickle fermented by Lactobacillus plantarum. LWT 121:108975. doi: 10.1016/j.lwt.2019.108975 [DOI] [Google Scholar]
  • 66. Huang M, Liu Y, Dong W, Zhao Q, Duan R, Cao X, Wan Y, Yin J, Yi M. 2022. Toxicity of Pb continuous and pulse exposure on intestinal anatomy, bacterial diversity, and metabolites of Pelophylax nigromaculatus in pre-hibernation. Chemosphere 290:133304. doi: 10.1016/j.chemosphere.2021.133304 [DOI] [PubMed] [Google Scholar]
  • 67. Chen PX, Zhang H, Marcone MF, Pauls KP, Liu R, Tang Y, Zhang B, Renaud JB, Tsao R. 2017. Anti-inflammatory effects of phenolic-rich cranberry bean (Phaseolus vulgaris L.) extracts and enhanced cellular antioxidant enzyme activities in Caco-2 cells. J Funct Food 38:675–685. doi: 10.1016/j.jff.2016.12.027 [DOI] [Google Scholar]
  • 68. Muniyappan M, Lee Y, Kim IH. 2022. Comparative efficacy of soybean meal vs fermented soybean meal on ileal digestibility and urine contents in weaned pigs. Livest Sci 263:105016. doi: 10.1016/j.livsci.2022.105016 [DOI] [Google Scholar]
  • 69. Yin B, Huang L, Gu JD. 2006. Biodegradation of 1-methylindoleand 3-methylindole by mangrove sediment enrichment cultures and a pure culture of an isolated Pseudomonas aeruginosa Gs. Water Air Soil Pollut 176:185–199. doi: 10.1007/s11270-006-9159-1 [DOI] [Google Scholar]
  • 70. Li P, Tong L, Liu K, Wang Y. 2010. Biodegradation of 3-methylindole by Pseudomonas putida LPC24 under oxygen limited conditions. Fresenius Environ Bull 19:238–242. [Google Scholar]
  • 71. Ma Q, Qu H, Meng N, Li S, Wang J, Liu S, Qu Y, Sun Y. 2020. Biodegradation of skatole by Burkholderia sp. IDO3 and its successful bioaugmentation in activated sludge systems. Environ Res 182:109123. doi: 10.1016/j.envres.2020.109123 [DOI] [PubMed] [Google Scholar]
  • 72. Zargar K, Saville R, Phelan RM, Tringe SG, Petzold CJ, Keasling JD, Beller HR. 2016. In vitro characterization of phenylacetate decarboxylase, a novel enzyme catalyzing toluene biosynthesis in an anaerobic microbial community. Sci Rep 6:31362. doi: 10.1038/srep31362 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Data have been deposited in BioProject under accession number PRJNA956336.


Articles from mSystems are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES