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Article

Effects of Paper Mulberry Silage on the Growth Performance, Rumen Microbiota and Muscle Fatty Acid Composition in Hu Lambs

1
College of Grassland Science and Technology, China Agricultural University, Beijing 100193, China
2
Chongqing Academy of Animal Sciences, Chongqing 402460, China
*
Author to whom correspondence should be addressed.
Submission received: 8 November 2021 / Revised: 24 November 2021 / Accepted: 26 November 2021 / Published: 28 November 2021
(This article belongs to the Special Issue Silage Fermentation)

Abstract

:
Paper mulberry (Broussonetia papyrifera) is widely ensiled to feed sheep in southwestern China, as unconventional woody forage. Feeding lambs with paper mulberry silage (PMS) may improve certain feeding characteristics, thereby affecting the growth performance and meat quality. The aim of this study is to investigate the effects of four diets of PMS on growth performance, rumen microbial composition, and muscle fatty acids profile in Hu lambs. The results showed that 30% and 40% PMS increased the dry matter intake and average daily gain of Hu lambs compared to the control group. PMS30 and PMS40 increased the content of C24:1, and PMS40 increased the content of C20:5n-3. The content of microbial protein (MCP) was higher in PMS40 than in others, but PMS30 and PMS40 reduced the total volatile fatty acid in rumen. PMS30 significantly increased the ratio of acetic acid to propionic acid. The abundance of ruminal Christensenellaceae_R-7_group and norank_f_Eubacterium_coprostanoligenes_group was significantly higher in PMS30 and PMS40 groups. Moreover, Christensenellaceae_R-7_group had a significant positive correlation with n3-polyunsaturated fatty acid. PMS40 might lead to a relatively high content of unsaturated fatty acids in longissimus dorsi muscle by increasing the relative abundance of Christensenellaceae_R-7_group in rumen.

1. Introduction

Sheep are thought to be the first domesticated livestock species and thus integral to animal husbandry [1]. China has experienced a significant economic growth in recent decades, and the growing consumption of mutton is leading to increased lamb production and sheep meat import. China is now the largest importer of sheep and goat meat in the world, with a volume forecast to reach 1.38 million metric tons in 2021 [2]. As the structure of meat consumption changes, numbers of domestic animal husbandry enterprises have seized this development opportunity, and at the same time due to the strategy of rural vitalization, the scale and technology of animal husbandry have been continuously updated. Hu sheep are widely farmed in southern China because of their high reproductive performance (Multiple fetuses) [3]. However, the main constraint for further improvement of lamb products is the lack of adequate and high-quality feed stuff [4,5]. Large amounts of forage are consumed by cattle and sheep, and the global trade of fodder has been limited due to the pandemic of COVID-19. Sino–US economic- and trade frictions have continued in the past few years, which have worsened the shortage of quality forages in domestic. Consequently, considerable interest has been given to the use of paper mulberry [6,7], a woody grass which could enjoy a broad array of uses for meeting the challenge of food–fuel–feed competition [8], available substitution for enhancing lamb performance.
Paper mulberry, with its relatively high content of protein, has been used as a substituted feedstuff of protein [7], especially with the current shortage of quality forage and soybean meal. Although the abundant rainfall in southern China can provide a large amount of biomass for paper mulberry, the rainfall makes it difficult to store feed after harvest. Consequently, ensiling is a way to store fresh plants which avoids excessive energy consumption (used for drying in rainy southern China) and improves the palatability of feed with lactic acid fermentation under anaerobic conditions [4,9,10].
Paper mulberry contains higher condensed tannin [11], which may positively affect the meat quality of livestock products by altering the rumen’s fermentation mode [8,12,13] and the biohydrogenation of unsaturated fatty acids. Moreover, paper mulberry can improve the milk quality of dairy cattle and the meat quality of sheep [14,15], change the rumen microorganism [16], and increase the content of polyunsaturated fatty acids in milk [17,18]. However, few studies have focused on the relationship between rumen microorganisms and meat quality [19].
Therefore, this study explored the relationship between a diet of paper mulberry silage with lamb meat quality and rumen fermentation. We hypothesized that paper mulberry silage could help to improve the quality of lamb meat. We closely examined the effects of paper mulberry silage on the meat quality of Hu sheep, including correlations between rumen bacteria flora and fatty acid composition which have previously received little attention.

2. Materials and Methods

2.1. Diets, Animals, and Experimental Design

The experiment was conducted in accordance with the Chinese Guidelines for Animal Welfare and Experimental Protocol, and approved by the Animal Care and Use Committee of China Agricultural University (ID:AW22601202-5-1).
Paper mulberry (B. papyrifera) were harvested in the third cutting and ensiled by Rongcheng Gouyang Modern Agriculture Co., Ltd. which is located in Rongchang, Chongqing, China (29°51′ N and 105°49′ E). The location has a subtropical monsoon climate. This study was also conducted on the farm of Rongcheng Gouyang Modern Agriculture Co., Ltd., and lasted for 56 d, with the first week for a preliminary trial period followed by 7 weeks of paper mulberry silage (PMS) treatment, beginning on 3 December 2020 and finishing on 28 January 2021. Forty weaned lambs (approximately 45-days old) were randomly divided into four treatments individually: control group, 20% (PMS20), 30% (PMS30), and 40% (PMS40). Four diets were formulated according to the values recommended by the Feeding Standard of Meat-Producing Sheep of Chinese agricultural industry standards (NY/T 816-2004) and produced as a total mixed ration (Table 1). The nutrient and chemical composition of PMS diets were shown in Table 1. The environment was comfortable and equipped with ventilation and moisture-proof measures. All lambs were fed twice a day (08:00 and 18:00), allowed to feed ad libitum, and given free clean water throughout the entire experimental period.

2.2. Sample Collection, Carcass Characteristics and Meat Quality Measurement

Body weight was recorded individually on the first day and at the end of the feeding experiment, and during the feeding period, feed offered and refused was quantified to determine dry matter intake (DMI) daily. Before slaughter, lambs were prevented from consuming feed and drinking for 12 h All lambs were recorded after all blood samples (for serum biochemical analysis) were collected and hot carcasses were weighted. We use an electronic platform scale with an accuracy of 10 g. The whole rumen contents of each Hu lamb was mixed immediately, and then squeezed through four layers of cheesecloth to separate liquid fractions and pH of rumen was recorded (PHS-3C with three-point calibration). Then they were collected into three 15 mL sterilized tubes and put into liquid nitrogen. All rumen microbe samples were stored at −80 °C before the volatile fatty acid and 16S rRNA gene analysis. Forty-five minutes after slaughter, longissimus dorsi (LD) muscle of lambs were collected from carcass for meat color, pH, drip loss, cooking loss, and shear force data measurement.
Measurements of muscle pH were made after postmortem using a pH meter (pH-STAR, MATTHAUS, Berlin, Germany). The meat color of LD was measured at 45 min postmortem by a mean of three random readings made with a portable chromameter (CR-400, Konica Minolta, Tokyo, Japan), which was calibrated with a white tile according to the manufacturer’s manual. The light was Illuminant D-65, the inclination Angle is 10, and the aperture radius is 10 mm. The drip loss percentage was measured as per the method previously described [20]. Cooking loss was determined by Cardoso’s method [21]. Briefly, muscle samples were heated in 80 °C water until the central temperature reached 75 °C, after which the samples were immediately removed from the steamer, and reweighed after cooling [21]. Shear force was evaluated after muscle cooking loss were calculated. Three cylindrical cores (12.7 mm) were removed from cooled muscle samples to the fiber direction [22]. Each sample was sheared using a muscle shear force measuring analyzer (C-LM3B, TENOVO, Beijing, China).

2.3. Fermentation Characteristics and Volatile Fatty Acid Profile Measurement

Rumen fluid thawed at 4 °C, then the supernatant was centrifuged at 3000 rpm·min−1 and the content of ammoniacal nitrogen (AN) was determined by the microplate testing system (SpectraMax iD5, Molecular Devices, Pleasanton, CA, USA). Thereafter, 25% (wt/vol) metaphosphoric acid was added in the supernatant samples and preserved at −4 °C for the measurement of ruminal volatile fatty acid (VFAs). The concentrations of VFAs were determined by gas chromatography (Shimadzu, Kyoto, Japan). The Coomassie Brilliant Blue G-250 assay was employed to measure the microbial protein content in the rumen liquid.

2.4. Serum Biochemical Analysis

Blood was sampled from a jugular vein of each animal using 10 mL serum tubes at 08:00 before slaughtering. The blood was centrifuged at room temperature (10 min, 2810 g), and the upper serum was obtained and stored at −20 °C [23]. Samples were aliquoted for measurement via an automatic biochemical analyzer (CLS880, Zechengbio, Guangzhou, China), which included the measurement of growth hormone (GH), insulin (INS), glucose (GLU), total cholesterol (TC), triglyceride (TG), high-density lipoproteins (HDL), low-density lipoproteins (LDL), non-esterified fatty acid (NEFA), and leptin (LEP).

2.5. Analysis of the Amino Acid Composition

Samples of 50–100 mg were extracted with 0.5 mL 0.1 M hydrochloric acid for 1 h with gentle agitation on a shaker at room temperature. Each sample was filtered through a 0.22 μm pore membrane filter. Then 10 μL of the sample was taken into a UHPLC vial and added 70 μL Borate buffer and 20 μL AccQ Tag reagent. The reaction mixture was kept at room temperature for 1 min, heated at 55 ºC for 10 min and 1 μL was injected after cooling. The sample extracts were analyzed using an UPLC– Orbitrap-MS system (UPLC, Vanquish; MS, QE). The analytical conditions were as follows, UPLC: column, Waters BEH C18 (50 × 2.1 mm, 1.8 μm); column temperature, 55 °C; flow rate, 0.5 mL/min; injection volume, 1μL; solvent system, water (0.1% Formic acid): acetonitrile (0.1% Formic acid); gradient program, 95:5 v/v at 0 min, 90:10 v/v at 5.5 min, 75:25 v/v at 7.5 min, 40:60 v/v at 8 min, 95:5 v/v at 8.5 min, and 95:5 v/v at 13 min. HRMS data were recorded on a Q Exactive hybrid Q–Orbitrap mass spectrometer equipped with a heated ESI source (Thermo Fisher Scientific, Waltham, MA, USA) using the SIM MS acquisition methods. The ESI source parameters were set as follows: spray voltage, 3 kV; sheath gas pressure, 40 arb; aux gas pressure, 10 arb; sweep gas pressure, 0 arb; capillary temperature, 320 °C; and aux gas heater temperature, 350 °C. Data were acquired on the Q-Exactive using Xcalibur 4.1 (Thermo Scientific, Waltham, MA, USA), and processed using TraceFinder4.1 Clinical (Thermo Scientific, Waltham, MA, USA). Quantified data were output into excel format.

2.6. Analysis of the Fatty Acid Composition

Samples of LD were collected to measure fatty acid composition. The fatty acid composition in the meat was determined using gas chromatography-mass spectrometric (GC-MS) according to the methods described in previous studies. Thirty-seven fatty acid methyl esters were used as mixed standard samples for quantitative analysis [22]. Lipids were extracted from the meat samples using the trichloromethane and dichloromethane, successively. Then, free fatty acid mixture was esterified with 2 mL methylation reagent. After shaking for 30 s, the mixture was reacted in 80 °C water for 2 h. Fatty acid methyl esters were analyzed using an Agilent 6890 gas chromatographer equipped with a flame ionization detector (Agilent Technologies, Santa Clara, CA, USA). A CP-Sil 88 fused silica open tubular capillary column (100 m × 0.25 mm × 0.25 µm) was used. The initial oven temperature was set at 100 °C for 5 min and increased to 240 °C at 4 °C/min, kept at 240 °C for 5 min, then increased to 350 °C at 15 °C/min. The carrier gas was helium at a flow rate of 1 mL/min. The mass spectrometric system is the quadrupole mass spectrometric detection system (Agilent 5977; Agilent Technologies, Santa Rosa, CA, USA) with electron bombardment ion source (EI) and Mass hunter workstation. The fatty acid was detected by the electron bombardment ion source (EI) fully SCAN mode. The optimized conditions of mass spectrometry analysis were as follows: inlet temperature 260 °C, quadrupole temperature 150 °C; Scanning mode is full SCAN mode, mass scanning range (m/z): 30–550. The identification of individual fatty acid methyl esters was accomplished by the retention times of an authentic standard. The concentration of individual fatty acids was quantified according to the peak area and expressed as a percentage of total fatty acids.

2.7. DNA Extraction, 16S rRNA Gene Amplification, and High-Throughput Sequencing

DNA of the rumen liquid samples was extracted using the bead-eating and phenol-chloroform extraction method. The quality and concentration of the extracted DNA were measured on a NanoDrop2000 spectrophotometer. Then, polymerase chain reaction (PCR) was used to amplify the V3-V4 region of the bacterial 16S rRNA gene using primers 338F (5′-ACTCCTACGGGAGGCAGCA-3′) and 806R (5′-GGACTACHVGGGTWTCTAAT-3′), and specific primers with Barcode were synthesized according to the specified sequencing region. The PCR condition was set as follows: initial denaturation at 95 °C for 2 min, 25 cycles of denaturation at 95 °C for 30 s, annealing at 55 °C for 30 s, elongation at 72 °C for 30 s, and extension at 72 °C for 5 min. Each treatment was conducted in triplicate and the mixture was purified to perform sequencing. PCR products were verified on agarose gel (2%, w/v), and the expected bands were extracted separately and purified via the Axy-PrepDNA Gel Extraction Kit. The concentrations of the purified DNA amplicons were quantified using Quantifluor™-ST Blue Fluorescence Quantitative System. Amplicons from different samples were mixed in equal ratio and sequenced via the 2 × 300 paired-end kit on an Illumina MiSeq platform. Any sequences with mismatches and ambiguous reads in the primers were removed for quality-control purposes.

2.8. Statistical Analysis

All data obtained in the present study were analyzed using One-Way Analysis of Variance (ANOVA) to determine different dietary treatments, and Duncan’s multiple range test was conducted to post hoc analyses via IBM SPSS 24.0 software (IBM Co., Armonk, NY, USA). Statistically significant difference was set at p < 0.05. Spearman correlation analysis was used to relate the abundance of the top 50 bacterial genera with the content of free amino acids and fatty acids using R (version 3.3.1). Only correlations with p < 0.05 for the linear model were considered as significant.

3. Results

3.1. Growth Performance, Carcass Characteristics, and Meat Quality

As shown in Table 2, PMS30 increased average daily gain compared to the control group and PMS20 (p < 0.05). PMS40 significantly increased dry matter intake compared to the control group (p < 0.05), and there was no difference among PMS20, PMS30, and PMS40. However, dietary paper mulberry silage (regardless the ratio of ration) had no effects (p > 0.1) on carcass weight, compared to control. Though PMS30 increased L*(lightness) and a*(redness) of longissimus dorsi (LD), significant difference between treatment was not detected. Besides, treatments had no effects (p > 0.1) on pH, drip loss, cooking loss, or shear force in LD muscle.

3.2. Rumen Fermentation Characteristics and VFA Composition Serum Biochemistry

PMS40 significantly increased (p < 0.05) rumen microbial protein (MCP) compared with other groups. However, significant difference between control, PMS20 and PMS30 was not detected. PMS30 significantly affected the A/P ratio of rumen (p < 0.05), but rumen pH, AN and other individual volatile fatty acids (VFA) proportion did not differ (p > 0.05) among treatments (Table 3). No effect of dietary PMS on serum biochemical indices was observed in Hu lambs (Table 4).

3.3. Amino Acid Composition of Longissimus Dorsi Muscle

The free amino acid composition of LD muscle was summarized in Table 5. PMS20, PMS30 and PMS40 groups had no significant difference (p > 0.05) in terms of most amino acids components, but resulted in a significant increase (p < 0.05) in Met and Tyr, and decrease Gln levels. Overall, there are no significant differences on essential amino acids (EAA) and total amino acids (TAA).

3.4. Fatty Acid Composition of Longissimus Dorsi Muscle

As shown in Table 6, the content of cis-15-tetracosenoic acid (C24:1, Nervonic acid) was significantly higher in PMS30 and PMS40 than control (p < 0.05). Docosadienoic acid (C22:2n-6) was significantly lower in PMS20 and PMS40 than control (p < 0.05). PMS40 increased (p < 0.05) the proportions of eicosapentaenoic acid (C20:5n-3, EPA).

3.5. Rumen Bacterial Diversity and Correlation Analysis of Meat Fatty Acids and Free Amino Acids

The 16S rDNA fragments covering the variable V3 and V4 regions were PCR amplified and sequenced. In Table 7, the coverage of all samples was >0.99, indicating that the sequencing depth was sufficient to reveal the complete bacterial diversity of rumen liquid samples. Alpha diversity indicated that paper mulberry silage did not significantly affect shannon, simpson, ace, and chao indices (p ˃ 0.05).
19 bacterial phylum were identified among all the rumen liquid samples, with Bacteroidetes, Firmicutes, Synergistetes, and Spirochaetota being the four most predominant phyla, each of which was represented by more than 0.01% of the total sequences in at least one group (Supplementary Figure S1). The relative abundance of Bacteroidota in Control, PMS20, PMS30, and PMS40 were 62.74%, 62.34%, 54.54%, and 49.58%, respectively. Additionally, PMS30 and PMS40 groups not only had a highly abundance (41.38%, 46.81%) of Firmicutes than control and PMS20 group (32.04%, 32.31%), but they also decreased relative abundance of Synergistetes (0.23%, 0.39%) in PMS30 and PMS40 groups. However, no significant difference in all the changes at the phylum level (Supplementary Figure S2A) was found. Ruminal bacterial community composition based on genus level was shown in Figure 1, and Prevotella and Rikenellaceae_RC9_gut_group were predominant genera in all groups. Only Christensenellaceae_R-7_group and norank_f_Eubacterium_coprostanoligenes_group were showed a significant difference (p ˂ 0.05) among the four groups (Supplementary Figure S2B).
To further study how bacteria change muscle fatty acids composition, we explored the relationship between ruminal bacterial community and fatty acids profiles. The results suggested that relative abundance of the Christensenellaceae_R-7_group, norank_f_Bacteroidales_BS11_gut_group and Ruminococcus_gauvreauii_group were positively correlated with the content of TFA, SFA and n-3 PUFA (Figure 2). However, Treponema was negatively correlated with C24:1, TFA, SFA, and Fretibacterium was also negatively correlated with C20:5n-3 and n-3 PUFA. Besides, norank_f_Selenomonadaceae and norank_f_norank_o_Bacteroidales were positively correlated with ratio of n-6/n-3, while unclassified_f_Ruminococcaceae and norank_f_norank_o_Clostridia_vadin BB60_group showed an opposite result. Interestingly, the data in Figure 3 showed that Butyrivibrio was positively correlated with the content of Thr, Arg, Pro, Ser, Cys, and Glu. Overall, it was also suggested that Christensenellaceae_R-7_group, Saccharofermentans, unclassified_f_Ruminococcaceae, Ruminococcus_gauvreauii_group, Eubacterium_ruminantium_group, Lachnospiraceae_XPB1014_group, Anaerovorax, and norank_f_Lachnospiraceae were positively correlated with free amino acids.

4. Discussion

In the present study, PMS30 and PMS40 contained higher DMI and ADG than others, which was similar to the results in goats, sheep, and beef cattle fed with paper mulberry or paper mulberry silage [14,15,24]. This might be due to the replacement of low quality corn stover with high quality silage in the diets for Hu lambs, and it was also consistent with the result reported by Tao that PMS could increase the DMI in beef cattle [24]. DMI in ruminants have been associated with neutral detergent fiber (NDF) content in diets [25,26,27]. A negative correlation between NDF content and DMI in dairy cow diets has also been found [28]. Miller et al. also reported that cows fed with higher NDF diet consumed less DM than cows fed with lower NDF diet [29]. In general, this observation could be explained by the lower NDF content of PMS30 and PMS40 group compared with Control.
Serum biochemical indices reflect the health status and nutrients utilization of livestock [24]. Si and Tao reported that PMS had no effects on the serum metabolites of cow and beef cattle [18,24], and similar results were found in the present study, which suggested that lambs were in healthy status with no adverse effects on their performance. Therefore, in this study, PMS had no negative effects on the growth and metabolism of Hu lambs.
AN is primarily used by microorganisms as raw material for producing MCP, an important source of high quality protein for ruminants [30], as well as the end product of nitrogenous compound in mixed ration [31,32]. In this study, AN was at a reasonable concentration level [33]. It was not conducive to the growth of rumen microorganisms with neither too high nor too low concentration of AN in rumen. Ruminants principally rely on the small intestine to absorb protein, which primarily comes from MCP and rumen bypass protein. PMS40 had a higher MCP than other groups. This observation is consistent with the previous study that MCP synthesis was increased in goat fed with 45% paper mulberry of diet [14]. Therefore, higher content of PMS was speculated to synthesize more MCP in rumen. TFA concentration was affected by the forage offered [34]. It was found that PMS would lead to a lower TVFA in rumen before slaughter. This may be due to the high digestibility of PMS, which can pass through rumen faster [11]. In all treatments, the rumen TVFA content decreased after 12 h of fasting.
The meat quality of Hu lamb was not affected by PMS in the present study, which is consistent with the previous study in Hu rams after being fed with paper mulberry [15]. However, the previous study showed that paper mulberry could improve the meat quality of goats compared to maize silage [14]. Based on this, the response of meat quality to the PMS might mainly be affected by animal species.
We further studied the effects of PMS on fatty and amino acids in the LD muscle of lambs. Because of the active substances such as polyphenols, herbs and shrubs are generally used to improve the flavor of meat compared to crops [19]. In the present study, we found that PMS40 feeding did not change the concentration of free amino acid except for Met and Tyr. It is noteworthy that flavor amino acid (glycine, alanine, serine, threonine, glutamic acid, and aspartic acid), which play an important role in determining the acceptability and directly affects meat taste, also showed no significant differences among the treatments in the present study. Although polyphenols and tannin, when possibly being considered rich in paper mulberry, were considered that could lead to a high content of rumen-protected protein, and the previous study also reported that PMS might not affect amino acid metabolism [24]. It might be related to the type, erratic and dose-dependent responses of tannins in the paper mulberry silage diet [8].
Fatty acid profiles of LD muscle also play a key role in meat quality [35], and in particular, n-3 fatty acids are considered as functional FA to prevent non-alcoholic fatty liver disease (NAFLD) and Obesity. In the present study, PMS40 diet led to an increase of C24:1 and C20:5n-3(EPA). To the best to our knowledge, ruminal bio-hydrogenation (BH) promotes the accumulation of saturated FA in ruminant meat. Therefore, reducing rumen BH has become an important way to improve meat quality. Evidence supports the effect of tannin’s regulation of rumen lipid metabolism on meat polyunsaturated fatty acids (PUFA) [8]. Based on this, paper mulberry may have the potential to reduce rumen BH and improve meat quality because of the high concentration of condensed tannin [11]. It seems that the reasons for these different observations are not clear yet, and the underlying lipids metabolism mechanism of rumen needs to be clarified in the future study.
Forage-based or grain-based diet, and even starch type and tannin content of feed could affect rumen fermentation and meat quality [13,36,37]. Therefore, we proposed that ruminal bacteria may indirectly influence the fatty acids in the muscle through the interaction between rumen bacteria and the host. At the phylum level, PMS30 and PMS40 had a lower spirochete abundance than others, which may lead to healthier body condition than the control group [38]. PMS30 and PMS40 could result in a significant impact on rumen bacterial community. Although Christensenellaceae _R-7_group and norank_f_Eubacterium_coprostanoligenes_group were significantly higher in PMS30 and PMS40 than control group (Supplementary Figure S2), very few studies have focused on the metabolism of Eubacterium_coprostanoligenes. It had also been found in the rumen of high-yield dairy cows after being fed with Perilla frutescens leaves reported by Sun [39]. In the present study, it was indicated that Christensenellaceae_R-7_group and norank_f_Eubacterium_coprostanoligenes_group may have the largest contribution to the improvement of LD fatty acid distribution and growth performance via PMS diet. Then, Christensenellaceae is mostly affected by the host genetic which may be beneficial to the body health [40], and besides, we also found that Christensenellaceae_R-7_group, norank_f_Bacteroidales_BS11_gut_group and Ruminococcus_gauvreauii_group were positively correlated with TFA, SFA, and n-3 PUFA. Besides, BS11 are cosmopolitan host-associated bacteria prevalent in ruminant gastrointestinal tracts, and it is also reported that they may play an important role in the degradation of recalcitrant carbohydrates and provide beneficial metabolites to host metabolism [41]. In addition, Solden had identified BS11 that become dominant in rumen when the host consumes a high woody biomass diet [42], which was verified in our research because paper mulberry is a typical woody plant. The Ruminococcus spp. has been considered as a crucial cellulolytic bacteria generally detected in rumen [43]. Ruminococcus_gauvreauii_group showed no significant difference between treatments, but a positive correlation with fatty acid was found, especially n-3PUFA (Figure 2). Rumen fermentation and metabolism are not only affected by dietary protein, structural carbohydrates, and starch, but also related to active metabolites such as flavonoids, tannins, and saponins, which can regulate the activities of microorganisms. Taking into account the correlation among paper mulberry silage, rumen bacterial community and fatty acids, we prefer that PMS improve fatty acids distribution in LD by changing rumen microbe composition and metabolic pathways. Unlike fatty acids, the changes in amino acids did not seem to be affected by rumen bacterial community in this study, although Butyrivibrio, Eubacterium spp. and norank_f_Lachnospiraceae had a positive correlation with some amino acids. To the best of our knowledge, amino acids are mainly absorbed in the small intestine, so protein passing through rumen has become an important research direction for amino acid metabolism [44]. Tannins are widely reported to reduce rumen BH, protect rumen protein degradation and reduce methane production [8,45,46]. However, paper mulberry rich in tannins did not generate the expected results in amino acids of LD, probably because silage reduced the tannin content. Increasing research has been conducted to study not only which bacterial community are changing in rumen but also the functional metabolites shifting. Concomitantly, further study is still necessary to explore the relationship between rumen microorganism composition, rumen metabolites, and amino acid metabolism via metagenomics and metabolome.

5. Conclusions

PMS40 could improve the growth performance and meat fatty acids profiles of Hu lambs, which might lead to a relatively high content of unsaturated fatty acids in longissimus dorsi muscle by increasing the relative abundance of Christensenellaceae_R-7_group in rumen.

Supplementary Materials

The following are available online at https://0-www-mdpi-com.brum.beds.ac.uk/article/10.3390/fermentation7040286/s1, Figure S1: The relative abundance of microbial community at the phylum level, Figure S2: One-way ANOVA of microbial community of PMS treatments.

Author Contributions

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

Funding

This research was funded by the Research and Demonstration of Key Technologies for Efficient Planting, Processing and Utilization of Hybrid Paper Mulberry in Hills and Mountains (CSTC2020NGZX0000), and “Strategic Priority Research Program” of the Chinese Academy of Sciences (Grant No. XDA27040203).

Institutional Review Board Statement

The experiment was conducted in accordance with the Chinese Guidelines for Animal Welfare and Experimental Protocol, and approved by the Animal Care and Use Committee of China Agricultural University (ID: AW22601202-5-1).

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the first author. The data are not publicly available due to restrictions by the research group.

Acknowledgments

The authors gratefully acknowledge the staff of Rongcheng Gouyang Modern Agriculture Co., Ltd.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Jiang, Y.; Xie, M.; Chen, W.; Talbot, R.; Maddox, J.F.; Faraut, T.; Wu, C.; Muzny, D.M.; Li, Y.; Zhang, W.; et al. The sheep genome illuminates biology of the rumen and lipid metabolism. Science 2014, 344, 1168–1173. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Kantono, K.; Hamid, N.; Ma, Q.; Chadha, D.; Oey, I. Consumers’ perception and purchase behaviour of meat in China. Meat Sci. 2021, 179, 108548. [Google Scholar] [CrossRef] [PubMed]
  3. Shabbir, S.; Boruah, P.; Xie, L.; Kulyar, M.F.; Nawaz, M.; Yousuf, S.; Liu, T.; Jabeen, F.; Miao, X. Genome-wide transcriptome profiling uncovers differential miRNAs and lncRNAs in ovaries of Hu sheep at different developmental stages. Sci. Rep. 2021, 11, 5865. [Google Scholar] [CrossRef]
  4. Ni, K.; Wang, F.; Zhu, B.; Yang, J.; Zhou, G.; Pan, Y.; Tao, Y.; Zhong, J. Effects of lactic acid bacteria and molasses additives on the microbial community and fermentation quality of soybean silage. Bioresour. Technol 2017, 238, 706–715. [Google Scholar] [CrossRef] [PubMed]
  5. Du, Z.; Sun, L.; Lin, Y.; Yang, F.; Cai, Y. The use of PacBio SMRT technology to explore the microbial network and fermentation characteristics of woody silage prepared with exogenous carbohydrate additives. J. Appl. Microbiol. 2021. [Google Scholar] [CrossRef]
  6. Du, Z.; Sun, L.; Chen, C.; Lin, J.; Yang, F.; Cai, Y. Exploring microbial community structure and metabolic gene clusters during silage fermentation of paper mulberry, a high-protein woody plant. Anim. Feed. Sci. Technol. 2021, 275, 114766. [Google Scholar] [CrossRef]
  7. Zhang, Y.C.; Li, D.X.; Wang, X.K.; Lin, Y.L.; Zhang, Q.; Chen, X.Y.; Yang, F.Y. Fermentation dynamics and diversity of bacterial community in four typical woody forages. Ann. Microbiol. 2019, 69, 233–240. [Google Scholar] [CrossRef]
  8. Frutos, P.; Hervás, G.; Natalello, A.; Luciano, G.; Fondevila, M.; Priolo, A.; Toral, P.G. Ability of tannins to modulate ruminal lipid metabolism and milk and meat fatty acid profiles. Anim. Feed Sci. Technol. 2020, 269, 114623. [Google Scholar] [CrossRef]
  9. Cai, Y.; Benno, Y.; Ogawa, M.; Ohmomo, S.; Kumai, S.; Nakase, T. Influence of Lactobacillus spp. from an inoculant and of Weissella and Leuconostoc spp. from forage crops on silage fermentation. Appl. Environ. Microbiol. 1998, 64, 2982–2987. [Google Scholar] [CrossRef] [Green Version]
  10. McDonald, P.; Henderson, A.R.; Heron, S.J.E. The Biochemistry of Silage; Chalcombe Publications: Southampton, UK, 1991; 340p. [Google Scholar]
  11. Li, R.; Zheng, M.; Jiang, D.; Tian, P.; Zheng, M.; Xu, C. Replacing alfalfa with paper mulberry in total mixed ration silages: Effects on ensiling characteristics, protein degradation, and in vitro digestibility. Animals 2021, 11, 1273. [Google Scholar] [CrossRef] [PubMed]
  12. Del Bianco, S.; Natalello, A.; Luciano, G.; Valenti, B.; Campidonico, L.; Gkarane, V.; Monahan, F.; Biondi, L.; Favotto, S.; Sepulcri, A.; et al. Influence of dietary inclusion of tannin extracts from mimosa, chestnut and tara on volatile compounds and flavour in lamb meat. Meat Sci. 2021, 172, 108336. [Google Scholar] [CrossRef] [PubMed]
  13. Li, Z.; Wright, A.D.; Liu, H.; Fan, Z.; Yang, F.; Zhang, Z.; Li, G. Response of the rumen microbiota of sika deer (Cervus nippon) fed different concentrations of tannin rich plants. PLoS ONE 2015, 10, e0123481. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Hua, J.; Xu, T.; Shen, Q.; Liu, Y.; Wang, J. Productive and metabolic increments of the inclusion of Broussonetia papyrifera to replace maize silage in growing goats. Czech J. Anim. Sci. 2020, 65, 303–310. [Google Scholar] [CrossRef]
  15. Sheng, P.; He, L.; Ji, S.; Huang, J.; Zhang, Z.; Wang, D.; Liu, J.; Zhang, H. Effect of Broussonetia papyrifera L. (paper mulberry) on growth performance, carcase traits, meat quality and immune performance in Hu ram lambs. Ital. J. Anim. Sci. 2021, 20, 691–697. [Google Scholar] [CrossRef]
  16. Hao, Y.; Huang, S.; Liu, G.; Zhang, J.; Liu, G.; Cao, Z.; Wang, Y.; Wang, W.; Li, S. Effects of different parts on the chemical composition, silage fermentation profile, in vitro and in situ digestibility of paper mulberry. Animals 2021, 11, 413. [Google Scholar] [CrossRef] [PubMed]
  17. Hao, Y.; Huang, S.; Si, J.; Zhang, J.; Gaowa, N.; Sun, X.; Lv, J.; Liu, G.; He, Y.; Wang, W.; et al. Effects of paper mulberry silage on the milk production, apparent digestibility, antioxidant capacity, and fecal bacteria composition in Holstein dairy cows. Animals 2020, 10, 1152. [Google Scholar] [CrossRef]
  18. Si, B.; Tao, H.; Zhang, X.; Guo, J.; Cui, K.; Tu, Y.; Diao, Q. Effect of Broussonetia papyrifera L. (paper mulberry) silage on dry matter intake, milk composition, antioxidant capacity and milk fatty acid profile in dairy cows. Asian-Australas. J. Anim. Sci. 2018, 31, 1259–1266. [Google Scholar] [CrossRef] [Green Version]
  19. Wang, B.; Wang, Y.; Zuo, S.; Peng, S.; Wang, Z.; Zhang, Y.; Luo, H. Untargeted and targeted metabolomics profiling of muscle reveals enhanced meat quality in artificial pasture grazing Tan lambs via rescheduling the rumen bacterial community. J. Agric. Food Chem. 2021, 69, 846–858. [Google Scholar] [CrossRef] [PubMed]
  20. Honikel, K.O. Reference methods for the assessment of physical characteristics of meat. Meat Sci. 1998, 49, 447–457. [Google Scholar] [CrossRef]
  21. Cardoso, D.B.; Medeiros, G.R.; Guim, A.; Azevedo, P.S.; Suassuna, J.M.A.; Lima, D.M.; Maciel, M.V.; Costa, C.A.; Lopes, L.A.; Silva, J.L.; et al. Growth performance, carcass traits and meat quality of lambs fed with increasing levels of spineless cactus. Anim. Feed Sci. Technol. 2021, 272, 114788. [Google Scholar] [CrossRef]
  22. Xu, X.J.; Chen, X.L.; Chen, D.W.; Yu, B.; Yin, J.D.; Huang, Z.Q. Effects of dietary apple polyphenol supplementation on carcass traits, meat quality, muscle amino acid and fatty acid composition in finishing pigs. Food Funct. 2019, 10, 7426–7434. [Google Scholar] [CrossRef]
  23. Zhang, J.; Qian, S.; Chen, J.; Ding, L.; Blache, D. Calm Hu ram lambs assigned by temperament classification are healthier and have better meat quality than nervous Hu ram lambs. Meat Sci. 2021, 175, 108436. [Google Scholar] [CrossRef] [PubMed]
  24. Tao, H.; Si, B.; Xu, W.; Tu, Y.; Diao, Q. Effect of Broussonetia papyrifera L. silage on blood biochemical parameters, growth performance, meat amino acids and fatty acids compositions in beef cattle. Asian-Australas. J. Anim. Sci. 2020, 33, 732–741. [Google Scholar] [CrossRef]
  25. Khan, S.H.; Shahzad, M.A.; Nisa, M.; Sarwar, M. Nutrients intake, digestibility, nitrogen balance and growth performance of sheep fed different silages with or without concentrate. Trop. Anim. Health Prod. 2011, 43, 795–801. [Google Scholar] [CrossRef] [PubMed]
  26. Cooke, K.M.; Bernard, J.K.; West, J.W. Performance of lactating dairy cows fed ryegrass silage and corn silage with ground corn, steam-flaked corn, or hominy feed. J. Dairy Sci. 2009, 92, 1117–1123. [Google Scholar] [CrossRef] [PubMed]
  27. Kung, L.; Moulder, B.M.; Mulrooney, C.M.; Teller, R.S.; Schmidt, R.J. The effect of silage cutting height on the nutritive value of a normal corn silage hybrid compared with brown midrib corn silage fed to lactating cows. J. Dairy Sci. 2008, 91, 1451–1457. [Google Scholar] [CrossRef] [Green Version]
  28. West, J.W.; Hill, G.M.; Fernandez, J.M.; Mandebvu, P.; Mullinix, B.G. Effects of dietary fiber on intake, milk yield, and digestion by lactating dairy cows during cool or hot, humid weather. J. Dairy Sci. 1999, 82, 2455–2465. [Google Scholar] [CrossRef]
  29. Miller, M.D.; Kokko, C.; Ballard, C.S.; Dann, H.M.; Fustini, M.; Palmonari, A.; Formigoni, A.; Cotanch, K.W.; Grant, R.J. Influence of fiber degradability of corn silage in diets with lower and higher fiber content on lactational performance, nutrient digestibility, and ruminal characteristics in lactating Holstein cows. J. Dairy Sci. 2021, 104, 1728–1743. [Google Scholar] [CrossRef]
  30. Storm, E.; Orskov, E.R.; Smart, R. The nutritive value of rumen micro-organisms in ruminants. 2. The apparent digestibility and net utilization of microbial N for growing lambs. Br. J. Nutr. 1983, 50, 471–478. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  31. Patra, A.K.; Aschenbach, J.R. Ureases in the gastrointestinal tracts of ruminant and monogastric animals and their implication in urea-N/ammonia metabolism: A review. J. Adv. Res. 2018, 13, 39–50. [Google Scholar] [CrossRef]
  32. Cantalapiedra-Hijar, G.; Dewhurst, R.J.; Cheng, L.; Cabrita, A.R.J.; Fonseca, A.J.M.; Nozière, P.; Makowski, D.; Fouillet, H.; Ortigues-Marty, I. Nitrogen isotopic fractionation as a biomarker for nitrogen use efficiency in ruminants: A meta-analysis. Animal 2018, 12, 1827–1837. [Google Scholar] [CrossRef]
  33. Owens, F.N.; Bergen, W.G. Nitrogen metabolism of ruminant animals: Historical perspective, current understanding and future implications. J. Anim. Sci. 1983, 57 (Suppl. S2), 498–518. [Google Scholar]
  34. Mitchell, L.K.; Heinrichs, A.J. Feeding various forages and live yeast culture on weaned dairy calf intake, growth, nutrient digestibility, and ruminal fermentation. J. Dairy Sci. 2020, 103, 8880–8897. [Google Scholar] [CrossRef]
  35. Simopoulos, A.P. N-3 fatty acids and human health: Defining strategies for public policy. Lipids 2001, 36, S83–S89. [Google Scholar] [CrossRef]
  36. Yu, M.; Li, Z.; Rong, T.; Wang, G.; Liu, Z.; Chen, W.; Li, J.; Li, J.; Ma, X. Different dietary starch sources alter the carcass traits, meat quality, and the profile of muscle amino acid and fatty acid in finishing pigs. J. Anim. Sci. Biotechnol. 2020, 11, 78. [Google Scholar] [CrossRef]
  37. Wang, X.; Martin, G.B.; Wen, Q.; Liu, S.; Li, Y.; Shi, B.; Guo, X.; Zhao, Y.; Guo, Y.; Yan, S. Palm oil protects alpha-linolenic acid from rumen biohydrogenation and muscle oxidation in cashmere goat kids. J. Anim. Sci. Biotechnol. 2020, 11, 100. [Google Scholar] [CrossRef] [PubMed]
  38. Britannica, T.E.o.E. Spirochete. In Encyclopedia Britannica; Encyclopædia Britannica, Inc.: Chicago, IL, USA, 2021. [Google Scholar]
  39. Sun, Z.; Yu, Z.; Wang, B. Perilla frutescens leaf alters the rumen microbial community of lactating dairy cows. Microorganisms 2019, 7, 562. [Google Scholar] [CrossRef] [Green Version]
  40. Goodrich, J.K.; Waters, J.L.; Poole, A.C.; Sutter, J.L.; Koren, O.; Blekhman, R.; Beaumont, M.; Van Treuren, W.; Knight, R.; Bell, J.T.; et al. Human genetics shape the gut microbiome. Cell 2014, 159, 789–799. [Google Scholar] [CrossRef] [Green Version]
  41. Solden, L.M.; Naas, A.E.; Roux, S.; Daly, R.A.; Collins, W.B.; Nicora, C.D.; Purvine, S.O.; Hoyt, D.W.; Schuckel, J.; Jorgensen, B.; et al. Interspecies cross-feeding orchestrates carbon degradation in the rumen ecosystem. Nat. Microbiol. 2018, 3, 1274–1284. [Google Scholar] [CrossRef] [PubMed]
  42. Solden, L.M.; Hoyt, D.W.; Collins, W.B.; Plank, J.E.; Daly, R.A.; Hildebrand, E.; Beavers, T.J.; Wolfe, R.; Nicora, C.D.; Purvine, S.O.; et al. New roles in hemicellulosic sugar fermentation for the uncultivated Bacteroidetes family BS11. ISME J. 2017, 11, 691–703. [Google Scholar] [CrossRef]
  43. Flint, H.J.; Bayer, E.A. Plant cell wall breakdown by anaerobic microorganisms from the Mammalian digestive tract. Ann. N. Y. Acad. Sci. 2008, 1125, 280–288. [Google Scholar] [CrossRef]
  44. Nichols, K.; Dijkstra, J.; van Laar, H.; Kim, J.J.M.; Cant, J.P.; Bannink, A. Expression of genes related to energy metabolism and the unfolded protein response in dairy cow mammary cells is affected differently during dietary supplementation with energy from protein and fat. J. Dairy Sci. 2019, 102, 6603–6613. [Google Scholar] [CrossRef]
  45. Ryel Min, B.; McTear, K.; Wang, H.H.; Joakin, M.; Gurung, N.; Abrahamsen, F.; Solaiman, S.; Sue Eun, J.; Hon Lee, J.; Dietz, L.A.; et al. Influence of elevated protein and tannin-rich peanut skin supplementation on growth performance, blood metabolites, carcass traits and immune-related gene expression of grazing meat goats. J. Anim. Physiol. Anim. Nutr. 2020, 104, 88–100. [Google Scholar] [CrossRef]
  46. Vissers, A.M.; Pellikaan, W.F.; Bouwhuis, A.; Vincken, J.P.; Gruppen, H.; Hendriks, W.H. Laminaria digitata phlorotannins decrease protein degradation and methanogenesis during in vitro ruminal fermentation. J. Sci. Food Agric. 2018, 98, 3644–3650. [Google Scholar] [CrossRef]
Figure 1. Paper mulberry silage changed the relative abundances on genus level of microbiota in rumen. Control: dietary without paper mulberry silage, PMS20: dietary with 20% paper mulberry silage, PMS30: dietary with 30% paper mulberry silage, PMS40: dietary with 40% paper mulberry silage.
Figure 1. Paper mulberry silage changed the relative abundances on genus level of microbiota in rumen. Control: dietary without paper mulberry silage, PMS20: dietary with 20% paper mulberry silage, PMS30: dietary with 30% paper mulberry silage, PMS40: dietary with 40% paper mulberry silage.
Fermentation 07 00286 g001
Figure 2. Heat maps of spearman correlations between the relative abundance of sequences assigned to each bacterial genus and the content of fatty acids. TFA, total fatty acids, SFA saturated fatty acids, n-3 PUFA, n-3 polyunsaturated fatty acids, n-6 PUFA, n-6 polyunsaturated fatty acids, n-6/n-3, n-6 long chain polyunsaturated fatty acids/n-3 long chain polyunsaturated fatty acids; U/S unsaturated fatty acids/saturated fatty acids. “*” indicates a significant difference(p < 0.05), “**” indicates a significant difference(p < 0.01).
Figure 2. Heat maps of spearman correlations between the relative abundance of sequences assigned to each bacterial genus and the content of fatty acids. TFA, total fatty acids, SFA saturated fatty acids, n-3 PUFA, n-3 polyunsaturated fatty acids, n-6 PUFA, n-6 polyunsaturated fatty acids, n-6/n-3, n-6 long chain polyunsaturated fatty acids/n-3 long chain polyunsaturated fatty acids; U/S unsaturated fatty acids/saturated fatty acids. “*” indicates a significant difference(p < 0.05), “**” indicates a significant difference(p < 0.01).
Fermentation 07 00286 g002
Figure 3. Heat maps of spearman correlations between the relative abundance of sequences assigned to each bacterial genus and the content of free amino acids. “*” indicates a significant difference (p < 0.05), “**” indicates a significant difference(p < 0.01).
Figure 3. Heat maps of spearman correlations between the relative abundance of sequences assigned to each bacterial genus and the content of free amino acids. “*” indicates a significant difference (p < 0.05), “**” indicates a significant difference(p < 0.01).
Fermentation 07 00286 g003
Table 1. Ingredients and chemical composition (g/kg, dry matter basis) of treatments.
Table 1. Ingredients and chemical composition (g/kg, dry matter basis) of treatments.
Items (DM Basis)ControlPMS20PMS30PMS40Paper Mulberry Silage
Ingredients (g/kg)
Corn powder248253261274/
Soybean meal100715950/
Wheat bran150180185182/
Corn stover48328418383/
Paper mulberry silage0200300400/
Calcium carbonate8110/
Minerals and vitamin premix 5555/
salt6666/
Chemical composition (%)
Dry matter86.6074.7468.5462.2628.67
Crude protein %DM13.1613.1313.1313.119.84
Acid detergent fiber %DM28.4025.9924.6723.3135.39
Neutral detergent fiber %DM46.8242.3439.6936.8143.79
Metabolizable energy MJ/kg8.949.569.8610.168.21
Calcium 0.220.380.450.531.12
Phosphorus0.440.470.480.490.25
Control: dietary without paper mulberry silage, PMS20: dietary with 20% paper mulberry silage, PMS30: dietary with 30% paper mulberry silage, PMS40: dietary with 40% paper mulberry silage.
Table 2. Effect of dietary paper mulberry silage on the growth performance, carcass characteristics and longissimus dorsi (LD) quality of Hu lambs.
Table 2. Effect of dietary paper mulberry silage on the growth performance, carcass characteristics and longissimus dorsi (LD) quality of Hu lambs.
ItemControlPMS20PMS30PMS40SEMp-Value
Initial body weight, kg14.6415.5214.8215.060.54820.433
Final body weight, kg19.1821.0421.7521.851.57750.276
Dry matter intake 0.7241 b0.765 b0.7817 ab0.8274 a0.03060.010
Average daily gain, kg0.0927 b0.1127 ab0.15 a0.1311 ab0.02400.009
Hot carcass weight, kg9.6711.139.9310.130.68230.232
Carcass yield, %45.4848.0144.4545.141.38780.132
Colour L* 33.8633.8536.5633.212.83030.239
Colour a* 57.5859.8961.2454.933.63120.089
Colour b* 11.4612.1212.1010.601.16800.248
pH6.877.006.916.670.20370.452
Drip loss, %0.670.710.560.490.37050.074
Cooking loss %41.2039.1939.2941.301.89340.551
Shear force, kg6.05605.42805.12433.98001.10960.361
Control: dietary without paper mulberry silage, PMS20: dietary with 20% paper mulberry silage, PMS30: dietary with 30% paper mulberry silage, PMS40: dietary with 40% paper mulberry silage. The colour of LD: L*(lightness), a* (redness), b* (yellowness). SEM, standard error of the mean. ab Mean values in the same row (corresponding to the same variable) with different letter differ significantly (p < 0.05).
Table 3. Effect of dietary paper mulberry silage on rumen fermentation characteristics of Hu lambs.
Table 3. Effect of dietary paper mulberry silage on rumen fermentation characteristics of Hu lambs.
ItemControlPMS20PMS30PMS40SEMp-Value
Fermentation characteristics
pH6.926.977.157.120.15210.390
MCP mg/mL1.29 b1.73 ab1.70 ab1.85 a0.1092<0.001
AN mmol/L8.847.045.706.961.12360.120
TVFA mmol/L47.09 a28.52 b20.26 b22.92 b6.37020.012
Individual VFA, % of total VFA
Acetic acid 33.0031.6639.5135.014.48090.379
Propionic acid26.1026.4419.3223.952.70450.099
Isobutyric acid4.606.176.037.001.18910.310
Butyric acid24.5121.4019.3121.002.29240.227
Isovaleric acid8.7211.159.4812.132.32370.486
Valeric acid3.073.17---0.876
A/P ratio 1.26 b1.20 b2.05 a1.46 b0.23450.025
Control: dietary without paper mulberry silage, PMS20: dietary with 20% paper mulberry silage, PMS30: dietary with 30% paper mulberry silage, PMS40: dietary with 40% paper mulberry silage. MCP, microbial protein; AN, Ammonia nitrogen; TVFA, Total volatile fatty acids; A/P ratio, acetic acid/propionic acid. ab Mean values in the same row (corresponding to the same variable) with different letter differ significantly (p < 0.05).
Table 4. Effect of dietary paper mulberry silage on serum biochemical indices of Hu lambs.
Table 4. Effect of dietary paper mulberry silage on serum biochemical indices of Hu lambs.
ItemControlPMS20PMS30PMS40SEMp-Value
GH ng/mL0.931.041.271.520.41110.522
INS mIU/L21.0724.6532.0228.155.21760.260
GLU (mmol/L)3.894.094.174.770.46660.334
TC (mmol/L)1.441.301.511.780.17240.108
TG (mmol/L)0.310.190.250.230.03490.055
HDL (mmol/l)0.700.710.740.740.06810.919
LDL (mmol/l)0.880.860.911.020.11050.518
NEFA (μmol/L)191.86192.29197.08203.3512.91570.794
LEP (ng/mL)1.981.932.021.940.11220.827
Control: dietary without paper mulberry silage, PMS20: dietary with 20% paper mulberry silage, PMS30: dietary with 30% paper mulberry silage, PMS40: dietary with 40% paper mulberry silage. GH, growth hormone; INS, insulin; GLU, glucose; TC, total cholesterol; TG, triglyceride; High-density lipoproteins; LDL, Low-density lipoproteins; NEFA, non-esterified fatty acid; LEP, leptin.
Table 5. Effect of dietary Paper mulberry silage on free amino acids composition of longissimus dorsi (LD) muscle of Hu lambs (mg/g of frozen dry basis).
Table 5. Effect of dietary Paper mulberry silage on free amino acids composition of longissimus dorsi (LD) muscle of Hu lambs (mg/g of frozen dry basis).
Item (mg/g)ControlPMS20PMS30PMS40SEMp-Value
Methionine (Met)0.0230 b0.0265 b0.0248 b0.0337 a0.00290.029
Lysine (Lys)0.16030.12260.12760.14980.00290.381
Valine (Val)0.09270.07480.07840.09880.02350.226
Isoleucine (Ile)0.06180.05680.05550.07390.01210.216
Phenylalanine (Phe)0.05370.04860.04920.06170.00870.113
Leucine (Leu)0.09470.08670.08630.11220.00520.207
Tryptophan (Trp)0.02250.01860.01900.02450.01240.181
Threonine (Thr)0.16820.09660.14060.12200.00280.155
EAA0.67680.53110.58140.44440.02820.615
Histidine (His)0.04750.05950.05850.07640.17290.164
Arginine (Arg)0.40010.22080.23480.24780.01130.082
Asparagic acid (Asp)0.02360.04910.05820.04470.06580.420
Asparagine (Asn)0.10200.08540.09960.12200.02020.299
Tyrosine (Tyr)0.0826 ab0.0716 bc0.0703 c0.0912 a0.01770.010
Alanine (Ala)1.51811.20911.36831.50100.00510.583
Proline (Pro)0.14230.10940.12040.14380.24400.074
Serine (Ser)0.16910.13690.13560.15780.01300.343
Cysteine (Cys)0.00470.00620.00020.00010.02040.714
Glutamic acid (Glu)0.10240.09200.19670.09930.05400.246
Glutamine (Gln)9.1478 a5.2928 b5.9348 b4.9756 b1.26930.038
Glycine (Gly)0.93120.69780.79610.72300.11320.241
TAA12.67158.02669.07345.17772.35710.072
EAA/TAA0.05360.06730.06730.08400.01040.105
Control: dietary without paper mulberry silage, PMS20: dietary with 20% paper mulberry silage, PMS30: dietary with 30% paper mulberry silage, PMS40: dietary with 40% paper mulberry silage. EAA, essential amino acid (EAA = Met + Lys + Val + Ile + Phe + Leu + Trp + Thr); TAA, total amino acid. abc Mean values in the same row (corresponding to the same variable) with different letter differ significantly (p < 0.05).
Table 6. Effect of dietary paper mulberry silage on fatty acid composition of longissimus dorsi muscle of Hu lambs (mg/g of frozen dry basis).
Table 6. Effect of dietary paper mulberry silage on fatty acid composition of longissimus dorsi muscle of Hu lambs (mg/g of frozen dry basis).
Item (mg/g)ControlPMS20PMS30PMS40SEMp-Value
Saturated fatty acids
C10:00.02540.04060.06460.07070.02960.435
C12:00.05680.07770.11250.09460.05390.763
C13:00.00560.00510.00780.00530.00320.822
C14:00.70421.03441.44481.54330.58950.499
C15:00.07660.08870.16420.11960.06950.615
C16:06.59709.026111.708113.07213.00690.220
C17:00.24400.33090.53010.40430.16940.433
C18:04.62156.24079.67378.56312.55650.268
C20:00.02360.02600.05000.03960.01770.452
C21:00.01400.01230.01560.01330.00240.597
C22:00.03530.03330.03990.03520.00460.549
C23:00.14580.15240.15070.15280.01170.926
C24:00.14020.14010.14450.13910.00330.411
Monounsaturated fatty acids
C14:10.03430.03590.03580.05320.02270.816
C15:10.00940.01230.01380.01200.00280.512
C16:10.57380.64920.75350.99690.28390.507
C17:10.18030.22130.23100.26630.07340.715
tran-9 C18:10.60950.79291.41290.90990.50600.472
cis-9 C18:13.972710.409413.828515.30588.56150.582
C20:10.07180.06870.08590.07390.01280.582
C22:10.20620.21480.20710.21040.00760.672
C24:10.0840 b0.0901 ab0.0978 a0.0957 a0.0044< 0.05
n-6 Polyunsaturated fatty acids
C18:2n-6t0.03860.04090.07360.07850.02390.273
C18:2n-6c2.49993.11503.90363.40940.77550.389
C18:3n-60.02780.03440.04110.04490.00740.185
C20:2n-60.02160.02190.03380.03200.01130.603
C20:3n-60.08780.09090.10620.09840.01330.544
C20:4n-61.44101.55501.49131.53190.23960.965
C22:2n-60.0202 a0.0179 c0.0192 ab0.0184 bc0.0004<0.05
n-3 Polyunsaturated fatty acids
C18:3n-30.07930.11630.19430.18140.05920.246
C20:3n-30.05960.05970.06170.06150.00100.158
C20:5n-30.0804 b0.0831 b0.0881 ab0.1169 a0.0128<0.05
C22::6n-30.09440.08700.09030.09050.01040.914
Sum and ratio
TFA22.882634.925546.876047.841315.22870.374
SFA12.690017.208424.106624.25326.36400.271
MUFA5.742012.494716.666217.92429.12590.566
PUFA4.45065.22236.10325.66390.96300.414
n-3 PUFA0.31370.34620.43440.45030.06930.218
n-6 PUFA4.13694.87615.66885.21360.90270.432
n-3 LCPUFA0.23440.22990.24000.26880.02060.300
n-6 LCPUFA1.57061.68571.65051.68080.24980.963
n-6/n-313.084414.108913.089311.75491.08900.271
U/S0.83280.98150.94510.92200.33230.973
P/S0.35390.30600.27410.24780.04330.164
Control: dietary without paper mulberry silage, PMS20: dietary with 20% paper mulberry silage, PMS30: dietary with 30% paper mulberry silage, PMS40: dietary with 40% paper mulberry silage. SEM, standard error means; abc Mean values in the same row (corresponding to the same variable) with different letter differ significantly (p < 0.05).; TFA, total fatty acids = saturated fatty acids (10:0 + 12:0 + 13:0 + 14:0 + 15:0 + 16:0 + 17:0 + 18:0 + 20:0 + 21:0 + 22:0 + 23:0 + 24:0) + monounsaturated fatty acids (14:1 + 15:1 + 16:1 + 17:1 + trans-9 18:1 + cis-9 18:1 + 20:1 + 22:1 + 24:1) + polyunsaturated fatty acids (18:2n-6t + 18:2n-6c + 18:3n-6 + 20:2n-6 + 20:3n-6 +20:4n-6 + 22:2n-6 + 18:3n-3 + 20:3n-3 + 20:5n-3 + 22:6n-3); SFA saturated fatty acids (10:0 + 11:0 + 12:0 + 13:0 + 14:0 + 15:0 + 16:0 + 17:0 + 18:0 + 20:0 + 21:0 + 22:0 + 23:0 + 24:0); MUFA monounsaturated fatty acids (14:1 + 15:1 + 16:1 + 17:1 + tran-9 18:1 + cis-9 18:1 + 20:1 + 22:1 + 24:1); n-6 PUFA, n-6 polyunsaturated fatty acids (18:2n-6t + 18:2n-6c + 18:3n-6 + 20:2n-6 + 20:3n-6 + 20:4n-6 + 22:2n-6); n-3 PUFA, n-3 polyunsaturated fatty acids (18:3n-3 + 20:3n-3 + 20:5n-3 + 22:6n-3); n-6 LCPUFA, n-6 long chain polyunsaturated fatty acids (20:2n-6 +20:3n-6 + 20:4n-6 + 22:2n-6), n-3 LCPUFA n-3 long chain polyunsaturated fatty acids (20:3n-3 + 20:5n-3 + 22:6n-3); n-6/n-3, n-6 long chain polyunsaturated fatty acids/n-3 long chain polyunsaturated fatty acids; U/S unsaturated fatty acids/saturated fatty acids; P/S polyunsaturated fatty acids/saturated fatty acids.
Table 7. Alpha diversity indices of ruminal bacteria in Hu lambs fed with different diets.
Table 7. Alpha diversity indices of ruminal bacteria in Hu lambs fed with different diets.
IndicesControlPMS20PMS30PMS40SEMp-Value
OTUs15416016517311.740.455
Shannon3.10673.05093.08643.31560.29270.419
Simpson0.10030.13500.11690.07350.05330.309
Ace191.2942187.7711193.1980205.148213.73680.268
Chao231.4690195.4962202.4630211.907224.29260.201
Coverage0.99850.99880.99890.99870.00010.297
Control: dietary without paper mulberry silage, PMS20: dietary with 20% paper mulberry silage, PMS30: dietary with 30% paper mulberry silage, PMS40: dietary with 40% paper mulberry silage.
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Xiong, Y.; Guo, C.; Wang, L.; Chen, F.; Dong, X.; Li, X.; Ni, K.; Yang, F. Effects of Paper Mulberry Silage on the Growth Performance, Rumen Microbiota and Muscle Fatty Acid Composition in Hu Lambs. Fermentation 2021, 7, 286. https://0-doi-org.brum.beds.ac.uk/10.3390/fermentation7040286

AMA Style

Xiong Y, Guo C, Wang L, Chen F, Dong X, Li X, Ni K, Yang F. Effects of Paper Mulberry Silage on the Growth Performance, Rumen Microbiota and Muscle Fatty Acid Composition in Hu Lambs. Fermentation. 2021; 7(4):286. https://0-doi-org.brum.beds.ac.uk/10.3390/fermentation7040286

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Xiong, Yi, Chunze Guo, Lin Wang, Fei Chen, Xianwen Dong, Xiaomei Li, Kuikui Ni, and Fuyu Yang. 2021. "Effects of Paper Mulberry Silage on the Growth Performance, Rumen Microbiota and Muscle Fatty Acid Composition in Hu Lambs" Fermentation 7, no. 4: 286. https://0-doi-org.brum.beds.ac.uk/10.3390/fermentation7040286

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