Previous Article in Journal
Gut Microbiota Profiling as a Promising Tool to Detect Equine Inflammatory Bowel Disease (IBD)
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Fermentation Parameters, Amino Acids Profile, Biogenic Amines Formation, and Bacterial Community of Ensiled Stylo Treated with Formic Acid or Sugar

1
School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China
2
Natural Resources Institute Finland (Luke), Tietotie 4, FI-31600 Jokioinen, Finland
3
Department of Animal Science, University of Minnesota, Saint Paul, MN 55108, USA
4
College of Grassland Science and Technology, China Agricultural University, Beijing 100193, China
*
Author to whom correspondence should be addressed.
Animals 2024, 14(16), 2397; https://doi.org/10.3390/ani14162397 (registering DOI)
Submission received: 18 July 2024 / Revised: 12 August 2024 / Accepted: 12 August 2024 / Published: 18 August 2024
(This article belongs to the Section Animal Nutrition)

Abstract

:

Simple Summary

Stylo silage is widely used as a protein source for ruminants in tropical and subtropical regions. High levels of biogenic amines in stylo silage are harmful to the health of ruminant animals. The purpose of this work was to evaluate the effect of formic acid and sugar on biogenic amines and amino acids concentrations and bacterial composition and fermentation profile of stylo silage. The results showed that putrescine, cadaverine, and tyramine became predominant in the control silage, and applying formic acid and sugar significantly decreased putrescine, cadaverine, tyramine, and total biogenic amine concentrations. Clostridium pabulibutyricum, Weissella cibaria and W. paramesenteroides were the predominant bacteria in the control silage, and the application of both additives remarkably lowered their relative abundance. Correlation analysis showed that C. pabulibutyricum, W. cibaria and W. paramesenteroides were positively related to putrescine, cadaverine, and tyramine formation. The application of formic acid or sugar significantly reduced the undesirable bacterial population and improved the fermentation and hygienic quality of the stylo silage.

Abstract

Substantial proteolysis occurs and free amino acids can be degraded to biogenic amines by decarboxylation during stylo (Stylosanthes guianensis) ensiling. High biogenic amine concentrations in silage are harmful to the health of ruminant animals. The purposes of this work were to (1) analyze the biogenic amines and amino acids concentrations, bacterial composition, and fermentation profile of spontaneously fermented stylo silage, (2) explore the effect of formic acid or sugar additive on these silage parameters, and (3) further reveal the correlations between silage amines and fermentation parameters, amino acids, and bacteria. Freshly chopped stylo was treated with distilled water (control), formic acid (4 mL/kg), and sugar (20 g/kg) and fermented for 28 days. The results indicated that putrescine (321 mg/kg dry matter), cadaverine (384 mg/kg dry matter), and tyramine (127 mg/kg dry matter) rapidly increased in concentration and become predominant in the control silage after 28 days of fermentation. Applying formic acid and sugar at ensiling, especially the acidifier, significantly decreased putrescine, cadaverine, tyramine, and total biogenic amine concentrations compared with the control treatment (p < 0.0001). Clostridium pabulibutyricum, Weissella cibaria and W. paramesenteroides were the predominant bacteria in the control silage, and the application of both additives remarkably lowered their relative abundance in comparison with the control treatment (p < 0.001). Correlation analysis showed that putrescine, cadaverine, and tyramine were positively related to pH, butyric acid, non-protein nitrogen, and ammonia nitrogen (p < 0.01). These amines also had significant correlations with C. pabulibutyricum, W. cibaria and W. paramesenteroides (p < 0.001). Putrescine, cadaverine, and tyramine were the main biogenic amines and C. pabulibutyricum was the predominant undesirable bacterium in naturally fermented stylo silage. C. pabulibutyricum, W. cibaria and W. paramesenteroides were positively related to putrescine, cadaverine, and tyramine formation. The application of formic acid or sugar significantly reduced the undesirable bacterial population and improved the fermentation and hygienic quality of the stylo silage. These findings lay the foundation for further elucidating the microbial mechanism underlying the main biogenic amine formation during fermentation of stylo silage.

1. Introduction

Stylo (Stylosanthes guianensis) is an important legume forage in tropical and subtropical regions due to strong adaptation to low-fertility soils and high quality and yield [1,2,3]. Under high temperature and humidity conditions, ensiling is a common way of conserving stylo. However, a significant proportion of protein undergoes proteolysis during stylo ensiling [4], and free amino acids can be further degraded to ammonia and biogenic amines by deamination and decarboxylation [5], respectively. High biogenic amine concentrations in silage decrease the palatability and feed intake by ruminants, impair rumen mucosa, induce immunological diseases, and threaten the safety of animal products [6,7].
Biogenic amines are low-molecular-weight compounds containing N [8] and classified into aliphatic amines (putrescine, spermidine, cadaverine and spermine), aromatic amines (phenylethylamine and tyramine) and heterocyclic amines (histamine and tryptamine) according to their chemical structure [9]. The basic conditions for biogenic amine formation consist of plentiful free amino acid availability [10], microorganisms with amino acid decarboxylase activity [11,12], and a suitable environment for microorganism growth and decarboxylase activity [12]. In ensiled forages and fermented feeds, the precursors for biogenic amine synthesis are ornithine (putrescine), lysine (cadaverine), tyrosine (tyramine), phenylalanine (phenylethylamine), tryptophan (tryptamine), and histidine (histamine) [9,13]. Biogenic amines are produced by various microorganisms, consisting of mainly bacteria and some fungi. Santos [9] reported that Enterobacter cloacae produced putrescine and Klebsiella pneumonia produced cadaverine and histamine. Similarly, Li et al. [14] found that putrescine was formed mainly by Enterobacter cloacae, Escherichia coli and Citrobacter sp. and Escherichia coli and Klebsiella oxytoca were the key bacteria for cadaverine and tyramine production in alfalfa silage.
So far, the research on stylo silage has mainly focused on fermentation profile, proteolysis, bacterial community and in vitro rumen fermentation. However, biogenic amine profile analysis remains unexplored. In addition, it is reported that formic acid and sugar significantly suppressed the biogenic amines formation of perennial ryegrass and alfalfa silages [14,15], respectively. Therefore, the purposes of this work were to (1) analyze the biogenic amines and amino acids concentrations, bacterial composition, and fermentation profile of spontaneously fermented stylo silage, (2) explore the effect of formic acid or sugar on these silage parameters, and (3) further reveal the correlations among silage amines and fermentation parameters, amino acids, and bacteria.

2. Materials and Methods

2.1. Silage Preparation

The stylo (Reyan no. 2) forage was grown in the experimental fields of Hainan University (latitude 20°5′ N, longitude 110°32′ E), where there were three plots (about 20 m2 each) growing stylo at the late budding period. The forage for the first cut in each plot was randomly sampled, manually harvested at a stubble height of 10 cm and chopped into approximately 2–3 cm pieces by a forage chopper on 2 June 2022. Freshly chopped forage was collected in a pile. Three piles in total were thoroughly mixed, divided into 12 small stacks, and randomly subjected to three treatments: distilled water (control, CK), formic acid (4 mL/kg, FA; CH2O2, analytic reagent, Sinopharm Group Chemical Reagent Co., Ltd., Beijing, China), and sugarcane-derived sugar (20 g/kg, SU; C12H12O11, analytic reagent, Sinopharm Group Chemical Reagent Co., Ltd., Beijing, China). A 30 mL diluted FA solution was prepared by dissolving 4 mL of FA into distilled water. Similarly, 30 mL of SU solution was prepared by dissolving 20 g of SU into distilled water. The prepared additives were individually sprayed on the 1 kg of chopped forage with a 50 mL spray bottle. The CK treatment was treated with the same volume of distilled water. Each treatment was prepared with four replicates. A total of 12 plastic bag silos (25 cm × 35 cm, 250 g/silo) were fermented for 28 days at room temperature (about 25 °C). Fresh forage was packed into four silo bags and vacuumized and immediately stored at −20 °C for further analysis.

2.2. Fermentation Parameters Analysis

At silo opening, 20 g of fresh forage or silage and 180 mL of distilled water were juiced for 1 min and filtered with three layers of sterile gauze. A portion of the filtrate was employed to determine the pH value by a pH meter (PHS-3C, INESA, Shanghai, China), and was subsequently subject to centrifugation (8000× g) for 10 min at 4 °C. The centrifuged filtrate was used to determine lactic acid (LA), acetic acid (AA), propionic acid (PA) and butyric acid (BA) by high performance liquid chromatograph (Shimadzu-10A, Kyoto, Japan) according to Wang et al. [16]. The other portion of the filtrate (40 mL) and 10 mL of 20% trichloroacetic acid were thoroughly mixed, stored at 4 °C overnight to precipitate protein and centrifuged (10,000× g) for 15 min at 4 °C. The supernatant was employed to analyze ammonia nitrogen (ammonia-N) and free amino acid nitrogen (FAA-N) concentrations via the colorimetric method according to Broderick and Kang [17]. One hundred grams of sample was used to determine dry matter (DM) content after 72 h of lyophilization, ground through a 1 mm sieve with a laboratory knife mill and stored at 4 °C for chemical analysis. Water-soluble carbohydrates (WSC) were analyzed in accordance with Murphy [18]. Total nitrogen (TN) and non-protein nitrogen (NPN) were determined according to the AOAC [19] and Sniffen et al. [20], respectively. Crude protein (CP) determination arose from TN × 6.25. Peptide nitrogen (peptide-N) was estimated through the difference between NPN and the sum of ammonia-N and FAA-N. According to Mertens [21], the AOAC Official First Action method without a heat-stable amylase was used to determine neutral detergent fiber (NDF). Acid detergent fiber (ADF) was determined by the method as described by the AOAC [22]. The NDF and ADF data are shown inclusive of residual ash. Depending on organic acids (percentage of fresh weight) and ammonia-N (percentage of TN) indices, the V-score evaluation system (Table S1) was used to evaluate silage fermentation quality [23]. Based on the V-score, silage fermentation quality was divided into three groups, consisting of excellent level (>80), acceptable level (60–80), and poor level (<60).

2.3. Amino Acids Analysis

Determination of 24 free amino acids was performed by liquid chromatography–mass spectrometry (LC-MS, Fuzhou Bereys Biotechnology Co., Ltd., Fuzhou, China). Freeze-dried powder of about 50 mg was extracted with 0.6 mL of 0.1 M hydrochloric acid for 1 h with gentle agitation in a shaker and centrifuged (12,000× g) for 10 min. After a series of dilutions, the supernatant was filtered through a 0.22 μm-pore membrane filter. A mixture of 10 μL of the filtrate, 70 μL of AccQ·Tag Ultra Borate buffer (Waters Corporation, MA, USA) and 20 μL of AccQ·Tag (Waters Corporation, MA, USA) was kept for 1 min at room temperature, heated for 10 min at 55 °C and cooled for analysis by ultrahigh-performance liquid chromatography (Vanquish, Thermo Fisher Scientific, MA, USA) and mass spectrometry (Q Exactive, Thermo Fisher Scientific, MA, USA). The whole analysis process was undertaken in an autosampler at 4 °C. The parameters of liquid chromatography were as follows: column, Waters Acquity UPLC BEH C18 (50 mm × 2.1 mm × 1.7 μm); column temperature, 55 °C; flow rate, 0.5 mL/min; injection volume, 1 μL; mobile phase consisting of formic acid/ultrapure water (1/999, v/v; A) and formic acid/chromatographic grade acetonitrile (1/999, v/v; B) and gradient program consisting of 95:5 (v/v) at 0 min, 90:10 at 5.5 min, 75:25 at 7.5 min, 40:60 at 8 min, 95:5 at 8.5 min and 95:5 at 13 min. The amino acid content of sample was calculated as follows: amino acid concentration of the sample (mg/kg DM) = (C × V × F × Mw)/M; C, sample concentration (nmol/mL); V, constant final sample volume (mL); F, sample dilution ratio; Mw, amino acid molecular weight; M, sample weighing mass (mg). Total amino acid concentration was the sum of the amount of the individual amino acids.
The external standard method was employed in the analysis, and the 24 amino acid standard substances were from Sigma-Aldrich Corporation (Saint Louis, MI, USA). A stock solution (100 μmol/mL) of each amino acid was prepared using 0.1 M hydrochloric acid, and 0.5, 1, 5, 10, 50, 100, 150, 200 and 300 nmol/mL solutions containing an amino acids mixture were prepared. The detection levels for asparagine, lysine, cystine and the remaining amino acids were 1 and 0.5 nmol/mL, respectively.

2.4. Biogenic Amines Analysis

Eight biogenic amines were determined by LC-MS (Fuzhou Bereys Biotechnology Co., Ltd., Fuzhou, China), similar to amino acids in the analysis procedure. Freeze-dried powder of about 50 mg was extracted with 0.5 mL of 0.1 M hydrochloric acid for 1 h with gentle agitation on a shaker and centrifuged (12,000× g) for 10 min. The pretreatment steps and the parameters of LC-MS were in accordance with the aforementioned amino acids analysis. The biogenic amine concentration of sample was calculated as follows: sample biogenic amine content (mg/kg DM) = (C × V × F × Mw)/M; C, sample concentration (nmol/mL); V, final constant volume of sample (mL); F, sample dilution ratio; Mw, biogenic amine molecular weight; M, weighed mass of sample (mg). Total biogenic amine concentration arose from the sum of the amount of the individual biogenic amines.
The external standard method was employed in the analysis and eight biogenic amine standard substances were purchased from Sigma-Aldrich Corporation (Saint Louis, MI, USA). The stock solution (100 μmol/mL) of each biogenic amine was prepared using 0.1 M hydrochloric acid, and 1, 5, 10, 50, 100, 150, 200, 250, 300 and 500 nmol/mL of solution containing a mixture of biogenic amines were prepared. The detection levels for putrescine and the remaining biogenic amines were 1 and 0.5 nmol/mL, respectively.

2.5. Bacterial Community Analysis

The pellet of silage sample was prepared according to Wang et al. [24]. DNA extraction, amplicon sequencing and sequence and bioinformatics analysis were performed at Shanghai Personal Biotechnology Co., Ltd. (Shanghai, China). Total DNA was extracted by a soil MagBeads FastDNA Kit (MP Biomedicals, CA, USA). The quantity and quality of extracted DNA were determined by a NanoDrop NC2000 spectrophotometer and agarose gel electrophoresis, respectively. PCR amplification of the nearly full-length bacterial 16S rRNA genes was performed using the forward primer 27F (5′-AGAGTTTGATCMTGGCTCAG-3′) and the reverse primer 1492R (5′-ACCTTGTTACGACTT-3′). A set of 10-nucleotide barcodes were incorporated into each primer. The PCR components contained 5 µL of Q5 reaction buffer (5×), 5 µL of Q5 high-fidelity GC buffer (5×), 0.25 µL of Q5 high-fidelity DNA polymerase (5 U/µL), 2 µL of dNTPs (2.5 mM), 1 µL of each forward and reverse primer (10 µM), 2 µL of DNA template and 8.75 µL of ddH2O. The procedure consisted of at 98 °C for 2 min, 25 cycles of denaturation at 98 °C for 30 s, annealing at 56 °C for 30 s and extension at 72 °C for 45 s, with a final extension of 10 min at 72 °C. Sequence data analyses were done mainly by QIIME2 and R pakage (v3.6.0). Alpha diversity indices (Chao1, observed species, Shannon and Simpson parameters) were calculated in QIIME2 and visualized as box plots. Hierarchical clustering (beta diversity) analysis was performed to investigate the structural variation of bacterial community across samples according to Ramette [25]. Taxonomy composition and abundance were visualized using MEGAN [26] and GraPhlAn [27].

2.6. Statistical Analysis

One-way analysis of variance was performed using the Statistical Package for Social Science (SPSS 20, Inc., Chicago, IL, USA). The applied model was Ai = μ + Bi + Ci, where Ai is the observation, μ is the mean, Bi is the treatment influence, and Ci is the residual error. Duncan’s test was employed to contrast the means, and significance was declared at p < 0.05. The correlation analysis between silage amines and fermentation parameters, amino acids, and bacteria was performed by R software (v3.6.0).

3. Results

3.1. Chemical Characteristics of Stylo Prior to Ensiling

As shown in Table 1, the DM, WSC and CP contents of stylo prior to ensiling were 248 g/kg fresh weight, 21.5 g/kg DM and 132 g/kg DM, respectively, and the NPN level was 125 g/kg TN. The contents of NDF and ADF were 595 g/kg DM and 445 g/kg DM, accordingly.

3.2. Fermentation Parameters of Stylo Silage

As shown in Table 2, the CK silage was poorly fermented, indicated by low LA content (12.8 g/kg DM) and high levels of pH (4.87), BA (16.1 g/kg DM) and ammonia-N (80.4 g/kg TN), after 28 days of conservation. As a result, its fermentation evaluation score was 59.5. In contrast, the fermentation scores of the FA and SU silages were 90.0 and 99.3, respectively. The NPN concentration in the CK silage was 624 g/kg TN and the application of FA and SU, especially FA, significantly decreased NPN concentration compared with the CK treatment (p < 0.0001).

3.3. Amino Acids Profile of Fresh and Ensiled Stylo

The fresh stylo prior to ensiling was rich in asparagine (2226 mg/kg DM), glutamine (1122 mg/kg DM), arginine (641 mg/kg DM), leucine (499 mg/kg DM) and alanine (491 mg/kg DM) (Table 3). After 28 days of ensiling, the majority of the 24 amino acids in the CK silage to different extents had increased in concentration, except for serine, asparagine, glutamine, arginine and cystine. Applying FA remarkably decreased the contents of methionine, tryptophan, valine, phenylalanine, leucine, isoleucine, threonine, histidine, glycine, aspartic acid, glutamic acid, alanine, proline, tyrosine, ornithine, γ-aminobutyric acid, D-α-aminobutyric acid and 4-hydroxy-L-proline in comparison with CK and SU treatments (p < 0.01). Lysine, threonine, serine and ornithine levels were higher in the SU treatment than the CK and FA treatments (p < 0.01). Total amino acid content of stylo prior to ensiling was 8530 mg/kg DM, and its content in the CK, FA and SU treatments was 21,102 mg/kg DM, 8951 mg/kg DM and 17,452 mg/kg DM, respectively, after 28 days of fermentation.

3.4. Biogenic Amines Formation of Fresh and Ensiled Stylo

The biogenic amine concentrations of fresh and ensiled stylo are shown in Table 4. Putrescine (125 mg/kg DM) was the main amine in fresh stylo, followed by spermidine (39.4 mg/kg DM), spermine (14.0 mg/kg DM), cadaverine (9.26 mg/kg DM) and tyramine (8.39 mg/kg DM). After 28 days of fermentation, putrescine (321 mg/kg DM), cadaverine (384 mg/kg DM) and tyramine (127 mg/kg DM) rapidly increased in concentration and became predominant in the CK silage. The application of FA or SU significantly decreased concentrations of putrescine, cadaverine and tyramine (p < 0.001). Total biogenic amine concentration of fresh stylo prior to ensiling was 199 mg/kg DM and its content in silage had increased after 28 days of fermentation. The highest concentration of total biogenic amines was found in the CK treatment (866 mg/kg DM), followed by the SU treatment (331 mg/kg DM), and finally the one with the lowest concentration among the silage was the FA treatment (225 mg/kg DM).

3.5. Bacterial Community of Stylo Silage

The alpha diversity indices and clustering analysis of bacterial community in stylo silage are presented in Figure 1. The Chao1 index value in the CK silage was higher than the FA treatment (p < 0.05) and Shannon and Simpson index readings in the SU treatment were lower compared to the CK treatment (p < 0.05, Figure 1A). Figure 1B shows the clustering analysis of the bacterial community in silage, which indicated that nine silage samples were clearly divided into three different clusters.
As shown in Table 5, the predominant bacteria in the CK silage were Clostridium pabulibutyricum (31.2%), Weissella cibaria (24.1%), W. paramesenteroides (11.8%) and Lactiplantibacillus plantarum (16.3%). The application of FA or SU significantly reduced C. pabulibutyricum, W. cibaria and W. paramesenteroides relative abundance (p < 0.001). L. plantarum (90.6%) and Hungatella xylanolytica (73.6%) were the only dominant bacteria in the FA and SU silages, respectively.

3.6. Correlations between Biogenic Amines and Fermentation Parameters, Amino Acids, and Bacteria

The correlations between silage amines and fermentation parameters, amino acids and bacteria are shown in Figure 2. Putrescine, cadaverine and tyramine were positively related to NPN, Peptide-N, FAA-N, Ammonia-N, BA and pH (p < 0.05) and negatively related to DM, V-score and WSC (p < 0.05) (Figure 2A). Phenylethylamine and tryptamine had significant correlations with phenylalanine and tryptophan (p < 0.001, Figure 2B), respectively. Arginine was positively correlated with spermidine and spermine (p < 0.001) and negatively correlated with putrescine (p < 0.001). No significant correlation (p > 0.05) was observed between cadaverine and lysine, putrescine and ornithine, or tyramine and tyrosine. Similarly, histamine did not have a significant correlation with histidine (p > 0.05). Putrescine, cadaverine, tyramine, phenylethylamine, tryptamine and histamine were positively related to C. pabulibutyricum, W. cibaria and W. paramesenteroides (p < 0.01, Figure 2C).

4. Discussion

In the present work, the CK silage was poorly fermented, indicated by high pH, ammonia-N, and BA levels and a low LA concentration, due to low DM and WSC concentrations, and subsequently an extensive proteolysis occurred, which was in agreement with the results of Zhang et al. [3], He et al. [4], Wang et al. [28] and Chen et al. [29]. The WSC content in FA treatment (23.5 g/kg DM) was significantly higher than SU treatment (14.3 g/kg DM). This finding could be due to the fact that FA, a fermentation inhibitor, can inhibit most microorganisms, including many lactic acid bacteria, by direct acidification at ensiling [15], and subsequently more residual WSCs are reserved and less LA was produced in FA treatment. In contrast, SU is a fermentation promoter and can promote lactic acid bacteria activity in the early stage of fermentation [14], and as a result, most WSCs were converted into organic acids mainly consisting of LA, thereby resulting in an extensive decrease in pH and WSC levels in SU treatment. The AA content (43.8 g/kg DM) in the FA silage was greatly higher than the CK and SU treatments, which disagrees with the results of Van Os et al. [15] and Song et al. [30]. One possible explanation is that the low-pH environment induced by FA promoted activity of some acetic acid bacteria at the early stage of fermentation in stylo silage [31]. A great deal of BA was produced in the CK silage, possibly because some Clostridium sp. exceeded lactic acid bacteria and converted part of LA, formed by lactic acid bacteria in the early stage of fermentation, into BA at the middle and late stages of fermentation [31].
Poor fermentation in silage was generally accompanied by an extensive proteolysis [16,32,33], and peptides during proteolysis can be further degraded to amino acids. Of the 24 free amino acids tested, lysine, arginine, ornithine, tyrosine, tryptophan, phenylalanine and histidine concentrations rapidly increased and arginine concentration extensively decreased in spontaneously fermented stylo silage after 28 days of ensiling. According to Guo et al. [34], there were decreases in threonine, serine, glutamic acid, lysine, histidine and arginine, and increases in aspartic acid, branched chain amino acids valine, isoleucine and leucine in the untreated alfalfa silage compared with the fresh alfalfa, which was similar to the results by Fairbairn et al. [35] and Winters et al. [36] and did not agree with our results to a large extent. The variation across different phenomena can be attributed to a series of factors such as forage species and wilting. In addition, the application of FA increased serine and arginine levels in the present work, which was in agreement with Guo et al. [34]. However, we observed that FA decreased contents of valine, phenylalanine, threonine, histidine, aspartic acid, glutamic acid, tyrosine and ornithine, and this difference between our findings and those of Guo et al. [34] needs to be further explored.
Free amino acid can be decarboxylated into biogenic amine and biogenic amines in silage consists of endogenous amines and exogenous amines. According to the data of our present work, the predominant amine in fresh forage was putrescine, which agreed with the results of Van Os et al. [15], Nishino et al. [37], Li et al. [14] and Jia et al. [38,39]. After 28 days of fermentation, a great deal of putrescine, cadaverine and tyramine were formed in the CK treatment. Similarly, Steidlová and Kalač [40,41], Jia et al. [38] and Li et al. [14] reported that high putrescine, cadaverine and tyramine concentrations were produced in naturally fermented alfalfa, oat and grass silages. The application of SU and FA decreased their concentrations in alfalfa and grass silages [14,15,41], which was confirmed by our results. The biosynthesis of biogenic amines in silage mainly consists of amino acid decarboxylation pathway [9] and also occurs via amination and transamination of aldehydes and ketones in some cases [42]. The precursors for putrescine, cadaverine and tyramine formation are ornithine, lysine and tyrosine [6], respectively. Generally, the larger the precursor amino acid concentration, the higher the corresponding biogenic amine level. Interestingly, our results did not reveal a significant correlation between ornithine and putrescine, lysine and cadaverine, or tyrosine and tyramine. The amino acid concentrations of the forage prior to ensiling affected the amino acid concentrations in silage to some extent, with total amino acid concentrations being generally higher in the silage than in the material prior to ensiling. A possible explanation is that amino acid biosynthesis (such as peptide hydrolysis) and degradation (such as deamination or decarboxylation) simultaneously occurs during stylo ensiling, and the remaining amino acid concentration will generally be higher if its biosynthesis rate is greater than its degradation rate. One amino acid can also be converted into another. For instance, arginine can be converted into ornithine by arginase [43]. Furthermore, ornithine, lysine and tyrosine might have been partly decarboxylated into putrescine, cadaverine and tyramine by ornithine decarboxylase, lysine decarboxylase and tyrosine decarboxylase, respectively, during fermentation of silage [14].
Free amino acids in silage can be decarboxylated into biogenic amines via amino acid decarboxylases of microorganisms [9]. Bacteria often play an important role in biogenic amine formation [44]. It has been proven that lactic acid bacteria (Weissella, Pediococcus, Streptococcus, Leuconostoc and Lactobacillus), Clostridium and Enterobacteriaceae (Citrobacter, Escherichia, Klebsiella and Salmonella) are important biogenic amine producers [8,9,14,45]. Similarly, our work indicated that W. cibaria and W. paramesenteroides had positive correlations with putrescine, cadaverine and tyramine. These two lactic acid bacteria often grow and proliferate in weak acidic environments and secrete amino acid decarboxylases, whose activity is optimal within the pH range of 4.0–5.5 [46]. Our findings confirmed this, possibly because the amino acid decarboxylase activity has better performance in silage with pH 4.87 (CK treatment) than in silage with pH 3.98 (SU treatment) or 4.15 (FA treatment). Metagenomic analysis showed that Enterobacter cloacae, Escherichia coli and Citrobacter sp. carried the genes encoding amino acid decarboxylases and were the potential amine-producing bacteria in alfalfa silage [14]. In addition, our work found that C. pabulibutyricum was the predominant undesirable bacterium in the CK silage and had a positive correlation with putrescine, cadaverine and tyramine. It is known that C. butyricum, C. sporogenes, C. sphenoides, C. tyrobutyricum and C. bifermentans are common Clostridium species in silage [46,47]. However, C. pabulibutyricum is an infrequently isolated Clostridium species and its information has not been well recorded. Kobayashi et al. [48] isolated C. pabulibutyricum from high-moisture grass silage and systematically characterized it as a novel species. In addition, Shinha and Hadi [49] reported that C. pabulibutyricum can result in bacteremia of a patient with acquired immune deficiency syndrome. In our present work, although the bacterial diversity and their relative abundance in stylo silage were analyzed, we could not ascertain whether these bacteria tested were active or dead during silage fermentation. Therefore, our forthcoming work will attempt to investigate the active bacteria succession during fermentation of stylo silage by means of the metatranscriptomic technique.

5. Conclusions

Putrescine, cadaverine, and tyramine were the main biogenic amines and Clostridium pabulibutyricum was the predominant undesirable bacterium in spontaneously fermented stylo silage. C. pabulibutyricum, W. cibaria and W. paramesenteroides were positively related to putrescine, cadaverine and tyramine formation. The application of formic acid or sugar significantly decreased biogenic amine concentrations and C. pabulibutyricum, W. cibaria and W. paramesenteroides abundance in silage. These findings lay the foundation for further elucidating the microbial mechanism underlying the main biogenic amine formation during fermentation of stylo silage.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/ani14162397/s1. Table S1: V-score evaluation for silage.

Author Contributions

Conceptualization, project administration, funding acquisition, writing—review and editing, validation, supervision, M.W.; data curation, S.H. and Z.L.; methodology, writing—original draft preparation, investigation, formal analysis, data curation, K.M. and H.C.; software, Y.X. and J.W.; resources, W.X. and Z.W.; writing—original draft preparation, writing—review and editing, visualization, M.F. and Z.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Hainan University Research Start-Up Fund (KYQDZR22014), National Key Research and Development Program of China (2022YFE0111000 and 2022YFD1602300), and Key Research and Development Plan of Hainan Province (ZDYF2020056).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All of the sequence data of this study were deposited in the NCBI Sequence Read Archive (SRA) database under the accession number PRJNA1043808.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Chen, Z.; Song, J.; Li, X.; Arango, J.; Cardoso, J.A.; Rao, I.; Schultze-Kraft, R.; Peters, M.; Mo, X.; Liu, G. Physiological responses and transcriptomic changes reveal the mechanisms underlying adaptation of Stylosanthes guianensis to phosphorus deficiency. BMC Plant Biol. 2021, 21, 466. [Google Scholar] [CrossRef]
  2. An, N.; Huang, J.; Xue, Y.; Liu, P.; Liu, G.; Zhu, S.; Chen, Z. Characterization of phosphate transporter genes and the function of SgPT1 involved in phosphate uptake in Stylosanthes guianensis. Plant Physiol. Biochem. 2023, 194, 731–741. [Google Scholar] [CrossRef] [PubMed]
  3. Zhang, Y.; Li, M.; Zhou, H.; Hu, L.; Li, W.; Xu, T. Associative effects of stylo and king grass silage different ratios on in vitro rumen fermentation. Legume Res. 2018, 41, 584–588. [Google Scholar] [CrossRef]
  4. He, L.; Chen, N.; Lv, H.; Wang, C.; Zhou, W.; Chen, X.; Zhang, Q. Gallic acid influencing fermentation quality, nitrogen distribution and bacterial community of high-moisture mulberry leaves and stylo silage. Bioresource Technol. 2020, 295, 122255. [Google Scholar] [CrossRef]
  5. Bueno, A.V.; Jobim, C.C.; Daniel, J.L.P.; Gierus, M. Fermentation profile and hygienic quality of rehydrated corn grains treated with condensed tannins from quebracho plant extract. Anim. Feed Sci. Technol. 2020, 267, 114559. [Google Scholar] [CrossRef]
  6. Scherer, R.; Gerlach, K.; Sudekum, K.H. Biogenic amines and gamma-amino butyric acid in silages: Formation, occurrence and influence on dry matter intake and ruminant production. Anim. Feed Sci. Technol. 2015, 210, 1–16. [Google Scholar] [CrossRef]
  7. Scherer, R.; Gerlach, K.; Taubert, J.; Adolph, S.; Weiß, K.; Südekum, K.H. Effect of forage species and ensiling conditions on silage composition and quality and the feed choice behaviour of goats. Grass Forage Sci. 2019, 74, 297–313. [Google Scholar] [CrossRef]
  8. Křížek, M. Biogenic amines in silage: 1. The occurrence of biogenic amines in silage. Arch. Anim. Nutr. 1993, 43, 169–177. [Google Scholar]
  9. Santos, S.M.H. Biogenic amines: Their importance in foods. Int. J. Food Microbiol. 1996, 29, 213–231. [Google Scholar] [CrossRef]
  10. Marklinder, I.; Lönner, C. Fermentation properties of intestinal strains of Lactobacillus, of a sour dough and of a yoghurt starter culture in an oat-based nutritive solution. Food Microbiol. 1992, 9, 197–205. [Google Scholar] [CrossRef]
  11. Brink, B.; Damink, C.; Joosten, H.M.L.J.; Huis in’t Veld, J.H.J. Occurrence and formation of biologically active amines in foods. Int. J. Food Microbiol. 1990, 11, 73–84. [Google Scholar] [CrossRef] [PubMed]
  12. Huis, J.H.J.; Hose, H.; Schaafsma, G.J.; Silla, H.; Smith, J.E. Health aspects of food biotechnology. In Processing and Quality of Foods; Zeuthen, P., Cheftel, J.C., Ericksson, C., Gormley, T.R., Link, P., Paulus, K., Eds.; Elsevier Applied Science: London, UK; New York, NY, USA, 1990; pp. 273–297. [Google Scholar]
  13. Wójcik, W.; Damaziak, K.; Łukasiewicz-Mierzejewska, M.; Świder, O.; Niemiec, J.; Wójcick, M.; Roszko, M.; Gozdowski, D.; Riedel, J.; Marzec, A. Correlation between biogenic amines and their precursors in stored chicken meat. Appl. Sci. 2023, 13, 12230. [Google Scholar] [CrossRef]
  14. Li, R.; Zheng, M.; Zheng, M.; Cai, R.; Cui, X.; Wang, Y.; Jiang, X.; Xu, C. Metagenomic analysis reveals the linkages between bacteria and the functional enzymes responsible for potential ammonia and biogenic amine production in alfalfa silage. J. Appl. Microbiol. 2022, 132, 2594–2604. [Google Scholar] [CrossRef]
  15. Van Os, M.; Van Wikselaar, P.G.; Spoelstra, S.F. Formation of biogenic amines in well fermented grass silages. J. Agric. Sci. 1996, 127, 97–107. [Google Scholar] [CrossRef]
  16. Wang, M.; Franco, M.; Cai, Y.; Yu, Z. Dynamics of fermentation profile and bacterial community of silage prepared with alfalfa, whole-plant corn and their mixture. Anim. Feed Sci. Technol. 2020, 270, 114702. [Google Scholar] [CrossRef]
  17. Broderick, G.A.; Kang, J.H. Automated simultaneous determination of ammonia and total amino acids in ruminal fluid and in vitro media. J. Dairy Sci. 1980, 63, 64–75. [Google Scholar] [CrossRef]
  18. Murphy, R.P. A method for the extraction of plant samples and the determination of total soluble carbohydrates. J. Sci. Food Agric. 1958, 9, 714–717. [Google Scholar] [CrossRef]
  19. AOAC. Protein (crude) in Animal Feed. Copper Catalyst Kjeldahl Method. In Official Methods of Analysis of the Association of Official Analytical Chemists, 15th ed.; Association of Official Analytical Chemistry: Arlington, VA, USA, 1990; p. 74. [Google Scholar]
  20. Sniffen, C.J.; O’Connor, J.D.; Van Soest, P.J.; Fox, D.G.; Russell, J.B. A net carbohydrate and protein system for evaluating cattle diets: II. Carbohydrate and protein availability. J. Anim. Sci. 1992, 70, 3562–3577. [Google Scholar] [CrossRef]
  21. Mertens, D.R. Gravimetric determination of amylase-treated neutral detergent fiber in feeds with refluxing in beakers or crucibles: Collaborative study. J. AOAC Int. 2002, 85, 1217–1240. [Google Scholar]
  22. AOAC. Official Methods of Analysis, 18th ed.; AOAC: Gaithersburg, MD, USA, 2005. [Google Scholar]
  23. Association of Self-supply Feed Evaluation. Guide Book for Forage Evaluation (In Japanese); Japan Grassland Agriculture and Forage Seed Association: Tokyo, Japan, 2001; pp. 93–96. [Google Scholar]
  24. Wang, M.; Chen, M.; Bai, J.; Zhang, J.; Su, R.; Franco, M.; Ding, Z.; Zhang, X.; Zhang, Y.; Guo, S. Ensiling characteristics, in vitro rumen fermentation profile, methane emission and archaeal and protozoal community of silage prepared with alfalfa, sainfoin and their mixture. Anim. Feed Sci. Technol. 2022, 284, 115154. [Google Scholar] [CrossRef]
  25. Ramette, A. Multivariate analyses in microbial ecology. FEMS Microbiol. Ecol. 2007, 62, 142–160. [Google Scholar] [CrossRef] [PubMed]
  26. Huson, D.H.; Mitra, S.; Ruscheweyh, H.J.; Weber, N.; Schuster, S.C. Integrative analysis of environmental sequences using MEGAN4. Genome Res. 2011, 21, 1552–1560. [Google Scholar] [CrossRef]
  27. Asnicar, F.; Weingart, G.; Tickle, T.L.; Huttenhower, C.; Segata, N. Compact graphical representation of phylogenetic data and metadata with GraPhlAn. PeerJ 2015, 3, e1029. [Google Scholar] [CrossRef] [PubMed]
  28. Wang, C.; He, L.; Xing, Y.; Zhou, W.; Yang, F.; Chen, X.; Zhang, Q. Effects of mixing Neolamarckia cadamba leaves on fermentation quality, microbial community of high moisture alfalfa and stylo silage. Microb. Biotechnol. 2019, 12, 869–878. [Google Scholar] [CrossRef] [PubMed]
  29. Chen, D.; Zheng, M.; Guo, X.; Chen, X.; Zhang, Q. Altering bacterial community: A possible way of lactic acid bacteria inoculants reducing CO2 production and nutrient loss during fermentation. Bioresource Technol. 2021, 329, 124915. [Google Scholar] [CrossRef]
  30. Song, C.; Li, J.; Xing, J.; Wang, C.; Li, J.; Shan, A. Effects of molasses interacting with formic acid on the fermentation characteristics, proteolysis and microbial community of seed-used pumkin leaves silage. J. Clean. Prod. 2022, 380, 135186. [Google Scholar] [CrossRef]
  31. McDonald, P.; Henderson, A.R.; Heron, S.J.E. The Biochemistry of Silage, 2nd ed.; Chalcombe Publications: Marlow, UK, 1991. [Google Scholar]
  32. Wang, M.; Gao, R.; Franco, M.; Hannaway, D.B.; Ke, W.; Ding, Z.; Yu, Z.; Guo, X. Effect of mixing alfalfa with whole-plant corn in different proportions on fermentation characteristics and bacterial community of silage. Agriculture 2021, 11, 174. [Google Scholar] [CrossRef]
  33. Mao, K.; Yu, Z.; Huang, S.; Wang, M.; Hannaway, D.B. Effect of storage period on the fermentation profile and bacterial community of silage prepared with alfalfa, whole-plant corn and their mixture. Fermentation 2022, 8, 486. [Google Scholar] [CrossRef]
  34. Guo, X.; Ding, W.; Han, J.; Zhou, H. Characterization of protein fractions and amino acids in ensiled alfalfa treated with different chemical additives. Anim. Feed Sci. Technol. 2008, 142, 89–98. [Google Scholar] [CrossRef]
  35. Fairbairn, R.L.; Alli, I.; Phillip, L.E. Proteolysis and amino acid degradation during ensilage of untreated or formic acid-treated alfalfa and maize. Grass Forage Sci. 1992, 47, 382–390. [Google Scholar] [CrossRef]
  36. Winters, A.L.; Fichan, R.; Jones, R. Effect of formic acid and a bacterial inoculant on the amino acid composition of grass silage and on animal performance. Grass Forage Sci. 2001, 56, 181–192. [Google Scholar] [CrossRef]
  37. Nishino, N.; Hattori, H.; Wada, H.; Touno, E. Biogenic amine production in grass, maize and total mixed ration silages inoculated with Lactobacillus casei or Lactobacillus buchneri. J. Appl. Microbiol. 2007, 103, 325–332. [Google Scholar] [CrossRef]
  38. Jia, T.; Yun, Y.; Yu, Z. Propionic acid and sodium benzoate affected biogenic amine formation, microbial community, and quality of oat silage. Front. Microbiol. 2021, 12, 750920. [Google Scholar] [CrossRef]
  39. Jia, T.; Yu, Z. Effect of temperature and fermentation time on fermentation characteristics and biogenic amine formation of oat silage. Fermentation 2022, 8, 352. [Google Scholar] [CrossRef]
  40. Steidlová, Š.; Kalač, P. The effects of using lactic acid bacteria inoculants in maize silage on the formation of biogenic amines. Arch. Anim. Nutr. 2003, 57, 359–368. [Google Scholar] [CrossRef]
  41. Steidlová, Š.; Kalač, P. The effects of lactic acid bacteria inoculants and formic acid on the formation of biogenic amines in grass silages. Arch. Anim. Nutr. 2004, 58, 245–254. [Google Scholar] [CrossRef]
  42. Marcobal, A.; De las Rivas, B.; Landete, J.M.; Tabera, L.; Muñoz, R. Tyramine and phenylethylamine biosynthesis by food bacteria. Crit. Rev. Food Sci. 2012, 52, 448–467. [Google Scholar] [CrossRef] [PubMed]
  43. Xiong, S.; Xu, X.; Liu, Q.; Xu, Y.; Ren, H.; Xiong, T.; Xie, M. Integrated metatranscriptomics and metabolomics revealed the metabolic pathways of biogenic amines during Laotan Suancai fermentation. Food Biosci. 2024, 57, 103517. [Google Scholar] [CrossRef]
  44. Park, Y.K.; Lee, J.H.; Mah, J.H. Occurrence and reduction of biogenic amines in traditional Asian fermented soybean foods: A review. Food Chem. 2019, 278, 1–9. [Google Scholar] [CrossRef]
  45. Krížek, M. The determination of biogenic amines in silage. Arch. Anim. Nutr. 1991, 41, 97–104. [Google Scholar]
  46. Teodorovic, V.; Buncic, S.; Smiljanic, D. A study of factors influencing histamine production in meat. Fleischwirtschaft 1994, 74, 170–172. [Google Scholar]
  47. Zheng, M.; Niu, D.; Jiang, D.; Zuo, S.; Xu, C. Dynamics of microbial community during ensiling direct-cut alfalfa with and without LAB inoculant and sugar. J. Appl. Microbiol. 2017, 122, 1456–1470. [Google Scholar] [CrossRef] [PubMed]
  48. Kobayashi, H.; Nakasato, T.; Sakamoto, M.; Ohtani, Y.; Terada, F.; Sakai, K.; Ohkuma, M.; Tohno, M. Clostridium pabulibutyricum sp. nov., a butyric-acid-producing organism isolated from high-moisture grass silage. Int. J. Syst. Evol. Microbiol. 2017, 67, 4974–4978. [Google Scholar] [CrossRef] [PubMed]
  49. Shinha, T.; Hadi, C. Clostridium paraputrificum bacteremia associated with colonic necrosis in a patient with AIDS. Case Rep. Infect. Dis. 2015, 2015, 3. [Google Scholar]
Figure 1. Alpha diversity indices (A) and clustering analysis (B) of bacterial community in stylo silage (n = 3). CK = control; FA = formic acid; SU = sugar; “*” indicates a significant difference (p < 0.05).
Figure 1. Alpha diversity indices (A) and clustering analysis (B) of bacterial community in stylo silage (n = 3). CK = control; FA = formic acid; SU = sugar; “*” indicates a significant difference (p < 0.05).
Animals 14 02397 g001
Figure 2. Correlations between biogenic amines and fermentation parameters (A), amino acids (B) and bacteria (C) (n = 3). LA = lactic acid; AA = acetic acid; PA = propionic acid; BA = butyric acid; DM = dry matter; Ammonia-N = ammonia nitrogen; TN = total nitrogen; WSC = water-soluble carbohydrates; NDF = neutral detergent fiber; ADF = acid detergent fiber; CP = crude protein; NPN = non-protein nitrogen; Peptide-N = peptide nitrogen; FAA-N = free amino acid nitrogen; “*,” “**” and “***” indicate “p < 0.05,” “p < 0.01” and “p < 0.001,” respectively.
Figure 2. Correlations between biogenic amines and fermentation parameters (A), amino acids (B) and bacteria (C) (n = 3). LA = lactic acid; AA = acetic acid; PA = propionic acid; BA = butyric acid; DM = dry matter; Ammonia-N = ammonia nitrogen; TN = total nitrogen; WSC = water-soluble carbohydrates; NDF = neutral detergent fiber; ADF = acid detergent fiber; CP = crude protein; NPN = non-protein nitrogen; Peptide-N = peptide nitrogen; FAA-N = free amino acid nitrogen; “*,” “**” and “***” indicate “p < 0.05,” “p < 0.01” and “p < 0.001,” respectively.
Animals 14 02397 g002
Table 1. Chemical characteristics of stylo prior to ensiling (n = 4).
Table 1. Chemical characteristics of stylo prior to ensiling (n = 4).
Item 1Fresh StyloStandard Deviation
DM, g/kg fresh weight24810.08
WSC, g/kg DM21.50.64
pH5.470.05
CP, g/kg DM1320.19
NDF, g/kg DM5954.94
ADF, g/kg DM4458.31
TN, g/kg DM21.10.03
NPN, g/kg TN12510.28
Peptide-N, g/kg TN1068.49
FAA-N, g/kg TN16.35.46
Ammonia-N, g/kg TN3.001.37
1 DM = dry matter; WSC = water-soluble carbohydrates; CP = crude protein; NDF = neutral detergent fiber; ADF = acid detergent fiber; TN = total nitrogen; NPN = non-protein nitrogen; Peptide-N = peptide nitrogen; FAA-N = free amino acid nitrogen; Ammonia-N = ammonia nitrogen.
Table 2. Fermentation characteristics of stylo silage (n = 4).
Table 2. Fermentation characteristics of stylo silage (n = 4).
Item 1Treatment 2SEM 3p-Value
CKFASU
pH4.87 a4.15 b3.98 c0.14<0.0001
LA, g/kg DM12.8 b0.99 c57.0 a8.52<0.0001
AA, g/kg DM14.5 b43.8 a11.7 c5.15<0.0001
LA to AA0.89 b0.02 c4.88 a0.75<0.0001
PA, g/kg DM5.67 b31.4 a0.00 c4.85<0.0001
BA, g/kg DM16.1 a0.00 b0.00 b2.73<0.0001
Ammonia-N, g/kg TN80.4 a6.80 c33.5 b4.19<0.0001
V-score59.5 c90.0 b99.3 a6.06<0.0001
DM, g/kg fresh weight243 c259 a249 b2.590.0018
WSC, g/kg DM10.1 c23.5 a14.3 b1.98<0.0001
CP, g/kg DM1291301251.820.4792
NDF, g/kg DM5785615489.270.459
ADF, g/kg DM4504194157.360.0968
TN, g/kg DM20.620.919.90.310.4663
NPN, g/kg TN624 a329 b374 b17.75<0.0001
Peptide-N, g/kg TN457 a291 b271 b10.580.002
FAA-N, g/kg TN86.6 a31.0 c69.2 b6.750.002
1 LA = lactic acid; AA = acetic acid; PA = propionic acid; BA = butyric acid; DM = dry matter; Ammonia-N = ammonia nitrogen; TN = total nitrogen; WSC = water-soluble carbohydrates; CP = crude protein; NDF = neutral detergent fiber; ADF = acid detergent fiber; NPN = non-protein nitrogen; Peptide-N = peptide nitrogen; FAA-N = free amino acid nitrogen. 2 CK = control; FA = formic acid; SU = sugar. 3 SEM, standard error of the mean; Means with different letters (a–c) in the same row indicate a significant difference (p < 0.05).
Table 3. Amino acids concentrations (mg/kg dry matter) of fresh and ensiled stylo (n = 3).
Table 3. Amino acids concentrations (mg/kg dry matter) of fresh and ensiled stylo (n = 3).
ItemFresh
Stylo
Treatment 1SEM 2p-Value
CKFASU
Essential amino acids
Lysine295421 b353 b685 a55.210.0043
Methionine70.6357 a69.8 c213 b41.98<0.0001
Tryptophan122456 a78.5 c217 b55.38<0.0001
Valine2331359 a301 c833 b155.06<0.0001
Phenylalanine3241548 a437 c1049 b161.78<0.0001
Leucine4992138 a613 c1547 b226.25<0.0001
Isoleucine1911209 a251 c732 b140.22<0.0001
Threonine251620 b297 c854 a81.79<0.0001
Non-essential amino acids
Histidine63.6470 a135 c359 b50.1<0.0001
Serine37941.4 c423 b845 a121.260.0006
Asparagine2226743 b1756 a1748 a174.510.0004
Glutamine1122999 a348 b454 b102.34<0.0001
Arginine64141.0 c800 a250 b113.6<0.0001
Glycine1461358 a243 c765 b162.32<0.0001
Aspartic acid3651712 a664 b1512 a168.440.0008
Glutamic acid376796 a547 b925 a59.630.0023
Alanine4912510 a556 c1417 b290.040.0001
Proline3051386 a422 c823 b142.45<0.0001
Cystine0.000.000.000.00--
Tyrosine2021136 a357 c969 b119.79<0.0001
Ornithine7.63276 b17.9 c512 a72.54<0.0001
γ-Aminobutyric acid2021177 a260 c714 b137.010.0003
D-α-Aminobutyric acid3.19310 a2.45 c5.87 b54.120.0015
4-Hydroxy-L-Proline16.638.9 a18.9 c24.3 b3.02<0.0001
Total amino acid853021,102 a8951 c17,452 b1804.450.0001
1 CK = control; FA = formic acid; SU = sugar. 2 SEM, standard error of the mean; Means with different letters (a–c) in the same row indicate a significant difference (p < 0.05).
Table 4. Biogenic amines concentrations (mg/kg dry matter) of fresh and ensiled stylo (n = 3).
Table 4. Biogenic amines concentrations (mg/kg dry matter) of fresh and ensiled stylo (n = 3).
ItemFresh
Stylo
Treatment 1SEM 2p-Value
CKFASU
Putrescine125321 a150 b140 b29.59<0.0001
Cadaverine9.26384 a21.4 c144 b53.59<0.0001
Tyramine8.39127 a8.68 b11.0 b19.66<0.0001
Spermidine39.416.7 c35.9 a28.1 b2.860.0001
Spermine14.04.06 c6.87 a5.48 b0.430.0017
Tryptamine1.674.88 a0.48 b0.29 b0.75<0.0001
Phenylethylamine1.894.17 a1.53 c2.32 b0.4<0.0001
Histamine0.004.15 a0.19 b0.00 b0.730.0026
Total biogenic amine199866 a225 c331 b98.03<0.0001
1 CK = control; FA = formic acid; SU = sugar. 2 SEM, standard error of the mean; Means with different letters (a–c) in the same row indicate a significant difference (p < 0.05).
Table 5. Relative abundance (%) of the top six bacteria in stylo silage (n = 3).
Table 5. Relative abundance (%) of the top six bacteria in stylo silage (n = 3).
ItemTreatment 1SEM 2p-Value
CKFASU
Lactiplantibacillus plantarum16.3 b4.17 c90.6 a13.6<0.0001
Hungatella xylanolytica0.00 b73.6 a0.01 b12.570.0001
Clostridium pabulibutyricum31.2 a0.24 b0.00 b5.40.0005
Weissella cibaria24.1 a0.50 b1.60 b3.88<0.0001
Weissella paramesenteroides11.8 a0.31 b0.51 b1.91<0.0001
Enterococcus sp. CR Ec10.527.840.001.880.1636
1 CK = control; FA = formic acid; SU = sugar. 2 SEM, standard error of the mean; Means with different letters (a–c) in the same row indicate a significant difference (p < 0.05).
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Mao, K.; Franco, M.; Xu, Y.; Chai, H.; Wang, J.; Huang, S.; Wang, Z.; Xun, W.; Liang, Z.; Yu, Z.; et al. Fermentation Parameters, Amino Acids Profile, Biogenic Amines Formation, and Bacterial Community of Ensiled Stylo Treated with Formic Acid or Sugar. Animals 2024, 14, 2397. https://doi.org/10.3390/ani14162397

AMA Style

Mao K, Franco M, Xu Y, Chai H, Wang J, Huang S, Wang Z, Xun W, Liang Z, Yu Z, et al. Fermentation Parameters, Amino Acids Profile, Biogenic Amines Formation, and Bacterial Community of Ensiled Stylo Treated with Formic Acid or Sugar. Animals. 2024; 14(16):2397. https://doi.org/10.3390/ani14162397

Chicago/Turabian Style

Mao, Kai, Marcia Franco, Yi Xu, Huan Chai, Jian Wang, Shuai Huang, Zhiyong Wang, Wenjuan Xun, Zuoxiang Liang, Zhu Yu, and et al. 2024. "Fermentation Parameters, Amino Acids Profile, Biogenic Amines Formation, and Bacterial Community of Ensiled Stylo Treated with Formic Acid or Sugar" Animals 14, no. 16: 2397. https://doi.org/10.3390/ani14162397

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop