https://orcid.org/0000-0001-9236-8408
Figures
Abstract
The purpose of this study was to investigate the effects of oscillating crude protein (CP) concentration diet on the nitrogen utilization efficiency (NUE) of calves and determine its mechanism. Twelve Holstein calves were assigned randomly into static protein diet (SP, 149 g/kg CP) and oscillating protein diet (OP, 125 and 173 g/kg CP diets oscillated at 2-d intervals) groups. After 60 days of feeding, the weights of total stomach, rumen and omasum tended to increase in calves fed OP. The apparent crude fat digestibility, NUE and energy metabolism also increased. In terms of urea-N kinetics evaluated by urea-15N15N isotope labeling method, the urea-N production and that entry to gastrointestinal tended to increase, and urea-N reused for anabolism increased significantly in calves fed OP during the low protein phase. These data indicate that urea-N recycling contributed to improving NUE when dietary protein concentration was low. In addition, the differentially expressed genes in rumen epithelium and the rumen bacteria involved in protein and energy metabolism promoted the utilization of dietary protein in calves fed OP.
Citation: Zhang N, Teng Z, Li P, Fu T, Lian H, Wang L, et al. (2021) Oscillating dietary crude protein concentrations increase N retention of calves by affecting urea-N recycling and nitrogen metabolism of rumen bacteria and epithelium. PLoS ONE 16(9): e0257417. https://doi.org/10.1371/journal.pone.0257417
Editor: Juan J. Loor, University of Illinois, UNITED STATES
Received: March 18, 2021; Accepted: August 31, 2021; Published: September 10, 2021
Copyright: © 2021 Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All Transcriptome sequence data sets are available from the NCBI’s Sequence Read Archive database (accession numbers PRJNA661616, PRJNA661470). All 16S rRNA sequence data sets are available from the NCBI’s Sequence Read Archive database (accession numbers PRJNA661397).
Funding: TG received funding from the China Agriculture Research System (grant number CARS-36). HL received funding from the National Natural Science Foundation of China (grant number 31702138). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
In general, ruminants convert about 20% to 30% of dietary nitrogen (N) into animal protein, and the rest is excreted in urine and feces [1], which has adverse economic and environmental implications. It has become important to develop nutritional management practices to improve the nitrogen utilization efficiency (NUE) of ruminants.
In nature, several animals, microorganisms, and plants experience seasonal periods of nutrient enrichment followed by undernourishment. This nutritional oscillation seems to cause compensatory growth. Several studies have demonstrated that feeding with oscillating crude protein concentrations diet (OP) on a 48-h basis can enhance N retention of lambs [1, 2] and steers [3] relative to those consuming a similar amount of crude protein (CP) at a static concentration, reducing N release into the environment, but other studies have failed to demonstrate benefits of OP on N retention [4, 5]. When dietary CP has been oscillated, the growth and NUE of ruminants were at least unaffected or improved, which may be due to changes in absorption patterns of nitrogen compounds [2, 6]. The NUE of ruminants was affected by rumen fermentable energy [6]. Rumen microorganisms directly mediate the metabolism of dietary nutrients and affect feed efficiency, which is closely related to the rumen fermentation indexes. Metabolites in rumen fluid are also required for microbial growth [7], however, excessive or complex rumen microorganisms can lead to excessive decomposition of nutrients in the diet, resulting in wasted feed due to limited utilization capacity and a reduction in the animal’s growth rate [8]. Therefore, the effect of OP on N retention should be related to the rumen bacterial community and epithelial absorption patterns.
For the urea produced by the liver of ruminants, a proportion is excreted in urine and the balance is returned to gut through either blood transfer in epithelial tissue or via saliva [9]. A higher proportion of urea-N recycling into the rumen means a more efficient use of urea-N for microbial protein synthesis, which is a very efficient N salvaging mechanism for ruminants in a N deficiency period [10]. It has been suggested that the improved N retention by OP may be due to the increase of urea-N recycling [1, 2]. Most endogenously synthesized urea enters the rumen via blood and gut exchange of urea-N and NH3-N in rumen epithelium, which is affected by the concentrations of plasma urea-N and rumen NH3-N [10]. In addition, there are transporters in rumen epithelium that may be involved in the transport of plasma urea-N to the rumen [11, 12], but the results of different studies are inconsistent [1, 10]. Therefore, the role of urea-N recycling in improving NUE and its mechanism remain to be determined.
The purpose of this study was to investigate the effects and mechanism of OP on NUE of calves. It was hypothesized that OP might improve NUE, either by increasing urea-N recycling to rumen or changing the rumen bacteria community or epithelial absorption patterns during the low protein phase. An experiment was designed in which the diets were as similar as possible except for the CP level in the diets and the nutritional components of the diets fed by oscillating and stable feeding were consistent in a period of oscillation. The feed efficiency of calves was measured, the urea-N kinetics of calves evaluated by urea-15N15N labeling method, bacterial diversity and metabolites in rumen fluid was investigated by 16S rRNA sequencing and metabolomics and the differentially expressed genes in rumen epithelium and liver were evaluated by transcriptomics. The present experiment is the first to assess the physiological adaptive mechanisms for this dietary intervention by combining isotope labeling and multi-omic methods.
Materials and methods
Animals, design, and diets
Twelve 4-month-old Holstein male calves with a mean weight of 94.3 ± 6.5 kg, were housed in individual hutches at Henan Agricultural University, Practical and Teaching Base (Xuchang, China). Calves were randomly assigned into two dietary treatments (n = 6): 1) continuous feeding of a 149 g/kg CP diet (static protein diet, SP), 2) oscillating feeding of 125 and 173 g/kg CP diets at 2-d intervals (oscillating crude protein concentrations diet, OP). The ingredients and nutrient level of the basal diets are shown in Table 1. Calves were fed twice daily at 0800 h and 1700 h with equal amount of dry matter intake in the two groups.
Experimental design is illustrated in Fig 1. The trial lasted for 60 days after 10 d adaptation. On day 50 of the trial period, each calf was placed in a specially designed metabolic cage. After 3 days of adaptation, the daily feed intake, refusals, urine, and fecal were weighed and sampled from day 53 to day 60 to examine the nutrient composition. Three calves with similar body weight were selected from each group to determine the urea-N kinetics using urea-15N15N isotope labeling. A saline solution (0.15 M NaCl) was infused continuously from the time the catheter was placed in the jugular vein of calves on the evening of day 57, until 0800 h on day 58 when the urea-15N15N as 99.16 atom % 15N (Shanghai Chemical Research Institute, Shanghai, China) was dissolved in sterile 0.15 M NaCl and then continuously injected for 48 hours. The urine and fecal samples were collected to examine the 15N enrichments. Urine and feces on day 57 were collected as 15N “background” enrichments.
OP, oscillating crude protein concentrations diet; SP, static protein diet.
The Theoretic Committee on Animal Protection and Use at Henan Agricultural University specifically approved this study, and all procedures involving calves were in compliance with the guidelines of the “Protocol of Animal Welfare for Bovine During Breeding, Transport, and Slaughter” (SN-T 3774–2014).
Slaughtering procedure and tissue collection
Blood samples was obtained from the jugular vein after being fasted for 8h and centrifuged for the detection of Urea-N. Calves were slaughtered at the end of the trial period. The slaughtering and carcass-segmentation process conformed to the “Evaluating rule on the safety food quality of the slaughtered beef products” (SB/T 10364–2012). The rumen, reticulum, omasum, and abomasum were weighed without chyme. The rumen fluid was collected to measure pH, and the concentration of NH3-N and Volatile Fatty Acids (VFAs). Rumen fluid from four calves in each group with similar final body weight was collected for microbial DNA and metabolites extraction. The rumen epithelium and liver of animals infused with urea-15N15N were collected for total RNA extraction.
Nutrient composition
The components of dry matter, CP, crude fat, neutral detergent fiber, acid detergent fiber, crude ash, calcium and phosphorus in feed, fecal and urine were measured according to the guidelines of National or Agricultural Industry Standards of the PRC, and the gross energy was measured using a microcomputer automatic calorimeter.
Urea-N kinetics
The 15N enrichment in feces was analyzed at the Institute of Subtropical Agriculture, Chinese Academy of Sciences (Changsha, China) using stable isotope mass spectrometry. According to the method described by Wickersham et al. [13], ammonia was removed from urine using a cation exchange resin. Samples were then used to prepare 28N2, 29N2, and 30N2 gases using Hofmann degradation. The enrichment of these gas samples was analyzed at the Shanghai Chemical Research Institute (Shanghai, China) using an Agilent 7890B-7000C GC-MS instrument. The urea-N kinetics were estimated with the formula reported by Lobley et al. [9].
Urea-N, NH3-N and VFAs
The urea-N concentration in plasma and urine were determined by diacetyl oxime colorimetry using a urea assay kit. The pH value of the rumen fluid was measured immediately and the samples were filtered through sterile gauze, 10 mL of which was mixed with 10% (v/v) one mL sulfuric acid and centrifuged (at 4300 × g for 20 min and then 12,000 × g for 20 min, 4°C) [14]. The supernatant of 1 mL was used to determine the concentration of NH3-N according to the method described by Broderick and Kang [15]. Another 1 mL of this supernatant was filtered through a 0.22-micron membrane to determine the VFAs with ion chromatography. Samples were injected with an autosampler into a Dionex AS11-HC column on a Sykam ion chromatography system. Chromatographic separation was carried out using a solvent system consisting of two eluents, a 0.5 mmol/L NaOH held for 25 min, then 50 mmol/L NaOH for 5 min and finally 0.5 mmol/L NaOH for 10 min, with all samples in duplicate.
Transcriptome sequencing and analysis of differentially expressed genes (DEGs)
Total RNA was extracted using a mirVana miRNA Isolation Kit (Ambion-1561) following the manufacturer’s protocol. The libraries were sequenced on the Illumina HiSeqTM 2500 system and 125 bp paired-end reads were generated at Shanghai OE Biotech (Shanghai, China). These sequence data sets are publicly available through NCBI’s Sequence Read Archive, under accession number PRJNA661616 for rumen epithelium and PRJNA661470 for liver. Reads were mapped to the reference genome using HISAT2 [16]. The DEGs were identified using the DESeq. The values of P < 0.05 and FC > 2 or < 0.5 were set as the thresholds for significantly differential expressions. The Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of the DEGs were performed using DAVID Functional Annotation Bioinformatics Microarray Analysis (https://david.ncifcrf.gov/).
Quantitative PCR (qPCR) was performed to validate the identified DEGs from the RNA-seq. The primers of b-actin (housekeeping gene) [17] and ten targeted genes, including five DEGs in the rumen epithelium and five DEGs in the liver were designed using BLAST (https://blast.ncbi.nlm.nih.gov/Blast.cgi) according to the available sequences in the NCBI (S1 Table). All samples were run in triplicate and the data were analyzed according to the 2−ΔΔCT method [18].
DNA extraction and 16S rRNA sequencing
Total DNA was extracted from the rumen fluid using a Bacterial DNA Kit (Omega). The V3 and V4 regions of the 16S rRNA gene were amplified by PCR using the universal primers 338F (5′-ACTCCTACGGGAGGCAGCAG-3′) and 806R (5′-GGACTACHVGGGTWTCTAAT-3′) [19]. All amplified libraries were sequenced using an Illumina HiSeq 2500 (Illumina, San Diego, CA) at Biomarker Technologies Co, Ltd. (Beijing, P.R. China). These sequence data sets are publicly available through NCBI’s Sequence Read Archive, under accession number PRJNA661397. The operational taxonomic units (OTUs) were annotated based on the Silva (bacteria) taxonomic database (Release 128, http://www.arb-silva.de) to generate species abundance tables at different taxonomic levels. Alpha-diversity was evaluated using Mothur software (version 1.30) [20]. Beta-diversity was analyzed using QIIME software (version 1.8.0) [21] and the distance between the samples was calculated by weighted UniFrac [22]. The use of LEfSe [23] was to determine the discriminative bacteria that most likely explain differences between calves fed OP and SP. This study used KEGG to annotate the differential functional genes of bacterial communities.
Metabolomics analysis
Metabolites in 100 μL rumen fluid were extracted with 300 μL of methanol. Then, the supernatant was taken for the LC-MS/MS analyses using an UHPLC system (1290, Agilent Technologies) with a UPLC BEH Amide column (1.7 μm 2.1 × 100 mm, Waters) and coupled to TripleTOF 5600 (Q-TOF, AB Sciex) at Biomarker Technologies Co, Ltd. (Beijing, China). The ESI source conditions were set as follows: ion source gas 1 as 60 Psi, ion source gas 2 as 60 Psi, curtain gas as 35 Psi, source temperature of 650°C, and ion spray voltage floating (ISVF) 5000 V or -4000 V in positive or negative modes, respectively. An in-house MS2 database was used for metabolite identification. Differential metabolites were screened by combining the fold change (FC > 2), P value of the Student’s t-test (P < 0.05) and the VIP value of the OPLS-DA model (VIP > 1).
Data processing and statistical analysis
Pearson’s correlation analysis between bacteria and fermentation index, and discriminative bacteria and differential metabolites in rumen was carried out and the thermogram was drawn using BMKCloud (www.biocloud.net). The data of stomachus compositus weights, rumen fermentation variables, nutrient utilization, urea-N kinetics, and relative gene expression were analyzed with unpaired Student’s t-tests using SPSS Statistics 22 (IBM., Armonk, NY, USA) to determine the effects of diets. The significance threshold for all statistical analyses was set to P < 0.05, and a tendency was declared at 0.05 ≤ P < 0.10.
Results
Stomachus compositus weights and rumen fermentation index
As shown in Table 2, the weights of total stomach (P = 0.069), rumen (P = 0.097) and omasum (P = 0.096) trend to be higher in calves fed OP compared with those fed SP. The NH3-N concentration in rumen fluid of calves fed OP was higher (P < 0.05) than those fed SP.
OP promotes the NUE and energy metabolism of calves
As shown in Table 3, the apparent crude fat digestibility was higher in calves fed OP than those fed SP (P < 0.05). The apparent digestibility of dry matter, neutral detergent fibers and acid detergent fiber were not significantly affected by diets (P > 0.05). For N metabolism, N intake, retained N, digestible N, apparent digestibility of N, and apparent utilization of N in calves fed OP were higher than those fed SP (P < 0.05). Fecal N, urine N, total excreted N, and fecal N/total excreted N were not influenced by diet (P > 0.05). The total excreted N/N intake in calves fed OP was lower than those fed SP (P < 0.05). In terms of energy metabolism, GE intake, digestive energy, net energy for maintenance, and combined net energy were higher in calves fed OP than those fed SP (P < 0.05), while the other indexes considered were not significant affected by diet (P > 0.05). In brief, OP promoted the NUE and energy metabolism of calves. Therefore, we speculate that OP affects the mechanism of nitrogen metabolism.
Differences of urea-N kinetics between calves fed OP and SP
To explore the mechanism by which OP promotes the NUE, we first analyzed the urea-N kinetics of calves by urea-15N15N isotope labeling method during the low protein phase. As shown in Table 4, the urea-N production (UER, P = 0.051) and that entry to gastrointestinal (GER, P = 0.084) tended to increase, and urea-N reused for anabolism (UUA, P < 0.05) increased significantly in calves fed OP during the low protein phase compared with those fed SP. These data indicate that urea-N recycling contributed to improving NUE when dietary protein concentration was low. The other indexes were not affected by diets (P > 0.05).
DEGs in rumen epithelium and liver between calves fed OP and SP
We further analyzed gene expression in rumen epithelium and liver by transcriptome sequencing. There were 48 DEGs in the rumen epithelium, of which 18 were upregulated and 30 were downregulated (Fig 2A) in calves fed OP compared with those fed SP. There were 179 DEGs in the liver, of which 74 were upregulated and 105 were downregulated in calves fed OP compared with those fed SP (Fig 2B). The validation of ten DEGs, five in rumen epithelium and five in liver, by qPCR confirmed the accuracy of DESeq2 analysis results (Fig 2C).
DEGs in rumen epithelium (A) and liver (B), with red dots represent DEGs and gray dots represent all detected genes; (C) Fold-change of 10 genes determined by both RT-qPCR and RNA-sequencing methods; (D) KEGG annotate the DEGs in liver. OP, oscillating crude protein concentrations diet; SP, static protein diet.
We annotated the function of these DEGs on GO and KEGG. The DEGs in the rumen epithelium were significantly enriched in 10 GO terms, which included one GO term in the biological process (BP) category, seven GO terms in the cellular component (CC) category and two GO terms in the molecular function (MF) category (Table 5). Importantly, several DEGs including C1RL, PRSS2, and TLL1 were associated with serine-type endopeptidase activity and CLSTN3, PRSS2, and TLL1 with MF calcium ion binding, which may be involved in the process of nitrogen metabolism.
The DEGs in the liver were significantly enriched 27 GO terms, including eight in BP, ten in CC, and nine in MF (S2 Table). Eight KEGG pathways (Fig 2D), including protein processing in endoplasmic reticulum, amino sugar and nucleotide sugar metabolism, ribosome biogenesis in eukaryotes, and retinol metabolism, were enriched, indicating that OP significantly alter the process of liver metabolism in calves.
Bacterial community characteristics and differences between calves fed OP and SP
To confirm whether rumen bacterial play a role in improving NUE, we evaluated the rumen bacterial community characteristics and differences between the two groups by 16S rRNA sequencing. As shown in Fig 3A, the bacterial community was consisted of 15 phyla, of which Bacteroidetes, Firmicutes and Spirochaetes were the three most abundant phyla. The dominant genera were Prevotella_1, followed by Treponema_2, and uncultured_bacterium_f_F082 (Fig 3B).
(A) Phyla- and (B) genera-level composition of the rumen bacteria (top 20); (C) PCA analyses of beta diversity; (D) LEfSe analysis indicated the biomarker bacteria and (E) Histograms of linear discriminant analysis (LDA) for the differential biomarker; (F) KEGG annotates the differential functional genes of bacterial communities. OP, oscillating crude protein concentrations diet; SP, static protein diet.
Alpha diversity estimators of community are shown in Table 6. According to the Ace and Chao indexes, the bacterial richness was no significant difference between the two groups (P > 0.05). The Shannon and Simpson indexes showed that the bacterial community diversity in rumen of calves fed OP was higher (P < 0.05) than those fed SP. The beta diversity analysis showed two different clusters, indicating that the bacteria community structure and composition were significantly different between the two group (Fig 3C).
The LEfSe analysis revealed 12 discriminative features (LDA score > 4) from phylum to genus between calves fed OP and SP (Fig 3D and 3E). The phylum Firmicutes were more abundant in calves fed OP, while Spirochaetes were more abundant in calves fed SP. At the genera level, uncultured_bacterium_f_Muribaculaceae, Rikenellaceae_RC9_gut_group and Ruminococcus_1 was more abundant in calves fed OP, while Prevotella_1 and Treponema_2 was more abundant in calves fed SP.
OP altered the microbiota-associated functions in calves. The different functional bacteria were enriched in 19 KEGG metabolic pathways (Fig 3F). The differential metabolic pathways with high relative abundance include membrane transport, amino acid metabolism, global and overview maps, metabolism of terpenoids and polyketides, energy metabolism, carbohydrate metabolism, replication and repair, signal transduction and cell motility. Therefore, the different bacteria may change the composition of rumen metabolites.
OP changed the metabolites in rumen fluid of calves
Next, we identified the metabolites in rumen fluid via untargeted metabolomic analyses. As shown in Table 7, only 15 different metabolites affected by diets could be identified using the currently available metabolite databases, of which six metabolites was downregulated and nine metabolites were upregulated in calves fed OP compared to those fed SP. These differential metabolites are related to the composition of bacterial community, just as rumen fermentation indexes.
Relationship between bacteria and fermentation indexes or metabolites in rumen
Therefore, we analyzed the Pearson’s correlation between bacteria and fermentation index, and discriminative bacteria and differential metabolites in rumen. The main fermentation indexes related to bacteria in the rumen were the concentrations of acetic acid, propionic acid and butyric acid (Fig 4A and 4B). Among them, Bacteroidetes was negatively correlated with propionic acid and butyric acid in the rumen of calves (Fig 4A). The genus uncultured_bacterium_f_Muribaculaceae was positively correlated with acetic acid (Fig 4B). As shown in Fig 5, a total of 59 significant correlations were identified between the differential metabolites and discriminative bacteria in rumen (P < 0.01). At the genera level, Prevotella_1 was negatively correlated with kojic acid, maleamate, L-erythro-4-hydroxyglutamate, and N-acetyl-L-aspartate, and positively correlated with vindoline, sildenafil, phenylacetylglycine, and terpineol, suggesting that it may participate in the metabolism of some amino acids in rumen. In addition, the uncultured_bacterium_f_Muribaculaceae was positively correlated with kojic acid, L-erythro-4-hydroxyglutamate, and N-acetyl-L-aspartate, and Ruminococcus_1 was positively correlated with kojic acid, L-tryptophan, Maleamic acid, and L-Erythro-4-Hydroxyglutamic acid. The abundance of these two bacteria in calves fed OP was higher than those fed SP, so it may be involved in the metabolism of nitrogen compounds in rumen, providing absorbable amino acids to the host.
Thermogram of Pearson’s correlation between bacterial abundance (at the (A) phyla- and (B) genera level) and fermentation index. The fermentation indexex included pH, acetic acid/propionic acid (A/P), and the concentrations of NH3-N, acetic acid (AA), propionic acid (PA) and butyric acid (BA).
Discussion
In the present study, OP promoted the N retention and NUE of calves, which agrees with the results of earlier studies on lambs [1, 2] and steers [3], indicating that the change of dietary CP concentrations in the present study may be synchronized with the retention time of diet in gut under the 48-h oscillating regimen [4]. This is great enough to reduce the amount of N emitted by ruminants to the environment for the same intake. In addition, more N-yielding substrates and larger total stomach weight require more energy degradation in rumen [5, 6]. The mass of gastrointestinal organs may ultimately affect energy utilization in ruminants [5]. When calves fed OP, the weight of total stomach, rumen and omasum tend to be higher, which was consistent with the higher apparent crude fat digestibility and energy metabolism.
Urea-N recycling provides available N for rumen microbial protein synthesis, which is more important when dietary N supply is deficient [10]. Urea is synthesized primarily in the liver [9], and its process is regulated by carbamoyl phosphate synthase 1, ornithine transcarbamylase, argininosuccinate synthetase, argininosuccinate lyase and arginase [24]. In this study, OP increased the UER of calves, while did not change the mRNA abundance of the five catalytic enzymes genes in liver during the low protein phase. Therefore, there may be other factors regulating urea synthesis in the liver. Energy metabolism affects urea-N recycling. Sufficient available carbohydrates in rumen promote the transfer of endogenous urea-N to gut rather than excretion in urine [25]. This study confirmed the above viewpoint. We found an increase in the gastrointestinal entry rate of urea during the low protein phase, which was consistent with the higher apparent crude fat digestibility and energy metabolism in calves fed OP. This also proved an adequate available energy in the experimental diets. The urea-N that was transferred to the gut is hydrolyzed by bacteria to release NH3-N, which is then used by microbial or mammalian metabolism [9]. Lambs had greater microbial non-NH3-N supply when fed oscillating compared with static dietary CP concentrations, which may be related to the incorporation of recycled urea-N [1]. In the present study, OP increased the GER that reused for anabolism during the low protein phase, which was consistent with the higher NH3-N concentration. In conclusion, the higher UER, GER and UUA were consistent with the higher NUE in calves fed OP, indicating that the improvement N retention could be attributed to urea-N transfer to gut and then reuse for anabolism when dietary protein concentration was low.
Rumen epithelium is responsible for the absorption and transportation of nutrients in the rumen. Several studies have reported that there are transporters in rumen epithelium that may be involved in the transport of plasma urea-N to the rumen, such as urea transporter B (UT-B), aquaglycoporin 3 (bAQP3) and G protein-coupled receptors (GPR) 4 and 41 [11, 12]. In this study, OP changed the amount of GER in calves, but did not change the expression of these transporter genes in rumen epithelium during the low protein phase. Therefore, the role of these transporters in the urea-N recycling remains to be determined, or the gene transcription level cannot represent protein abundance. According to transcriptome functional analysis, DEGs in rumen epithelium between calves fed OP and SP were significantly enriched 10 GO terms. The category of MF is based on serine-type endopeptidase activity, which catalyzes the hydrolysis of internal, alpha-peptide bonds in a polypeptide chain by a catalytic mechanism. The complement component C1RL (r-subcomponent like) is a serine protease that mediates the proteolytic cleavage of haptoglobin in the endoplasmic reticulum [26]. We speculated that the DGEs serine protease 2 (PRSS2) and C1RL, with higher expression in calves fed OP, may participate in the peptide metabolism in the rumen epithelium. Studies have shown that dietary N concentration of goats regulates intestinal Ca transport by Ca-transporting proteins [27]. The calcium ion, whose activity may be regulated by the Na+-K+ pump, participates in regulating lipid metabolism in adipose tissue [28]. Our results suggest that OP altered the molecular function of calcium ion binding in the rumen epithelium of calves. These results indicated that OP may induce calcium ion absorption or change the nutrient metabolism through calcium ion binding in rumen epithelium of calves. These data confirmed that OP promoted NUE partly by increasing the subsequent digestion and absorption of microbial protein or other nitrogenous compounds by the gastrointestinal tract [2] during the low protein phase.
Rumen and its microbiota play an important role in the degradation of feedstuffs. These microorganisms break down ingested compounds into their subcomponents, and provide nutrients to the host animal [29]. The effect of OP on rumen bacterial community diversity of calves during the low protein phase was analyzed by 16S rRNA sequencing. Consistent with other studies [30–32], Bacteroidetes and Firmicutes were the most abundant two phyla, and Prevotella_1 represented the highest percentage among the identified genera in the rumen of calves despite the diets. Bacteroidetes is the primary degraders of polysaccharides [25]. As the most abundant genus in the phylum Bacteroidetes, Prevotella_1 had positive effects on VFAs concentrations in the rumen of dairy cows [32]. However, we found no such relationship in calves. It has been reported that some members of the genus Prevotella participate in the degradation of oligopeptides into amino acids in rumen [30]. Similarly, in this study, correlation analysis revealed that Prevotella_1 may participate in the metabolism of some amino acids in rumen. Prevotella_1 was also positively correlated with NH3-N concentration in the rumen of dairy cows [32]. On the contrary, the concentration of NH3-N was increased while the abundance of Prevotella_1 decreased in the rumen liquid of calves fed OP, which was consistent with the study on Hu Lambs with dietary urea supplementation [33]. Also, the calves fed OP had higher NUE. Therefore, the abundance of Prevotella_1 could not be used as an accurate indicator of protein metabolism in rumen. Genomic data suggested that populations of Muribaculaceae are equipped with fermentation pathways to produce succinate, acetic acid and propionic acid by degrading plant glycans, host glycans and α-glucans [34]. In this study, uncultured_bacterium_f_Muribaculaceae was positively correlated with acetic acid, and Muribaculaceae was also correlated with propionic acid and butyric acid in gut [35, 36], which supported that it was multifunctional in carbohydrates degradation and could occupy different niches in the common community [37]. The bacteria within the family Muribaculaceae harbor a specific urease, which exhibits specificity in N utilization [34]. In this study, the abundance of uncultured_bacterium_f_Muribaculaceae was higher in calves fed OP, which may be involved in the metabolism of nitrogen compounds. Therefore, it is necessary to further understand the functions of this family in the rumen at the levels of genus, species, and/or strain. Firmicutes are major degraders of insoluble fiber [38]. Butyrate-producing Ruminococcus_1 belonging to this phylum may promote fiber degradation and were negatively correlated with propionic acid and isobutyrate concentrations in the rumen of dairy cows [31]. In theory, more vigorous carbohydrate metabolism is conducive to the absorption and utilization of nitrogen compounds by the host. The Ruminococcus_1 abundance in the rumen of calves fed OP was higher than those fed SP, which was consistent with NUE. These results support the view that Ruminococcus_1 in rumen can promote the utilization of dietary N by the host [39]. In summary, these bacteria involved in protein and energy metabolism promoted the utilization of dietary protein in the rumen of calves fed OP. Future research should focus on the dynamics of rumen bacterial flora and epithelial gene transcription patterns throughout the oscillation period, to better explore the mechanism of N retention.
Conclusion
The change of dietary CP concentrations under the 48-h oscillating regimen may be an effective tool for producers to reduce the pollution of N emissions as it increased NUE of calves. Urea-N recycling contributed to improving NUE when dietary protein concentration was low. Furthermore, OP promoted NUE mainly by increasing the utilization of dietary protein and cycled urea-N by rumen microorganisms and the digestion and absorption of nitrogen compounds in rumen epithelium during the low protein phase. Unfortunately, these results have a limitation as all tissue and fluid samples were collected at slaughter during the low protein phase of the oscillation. The oscillation treatment is a dynamic metabolism in time, so further study should focus on the dynamics throughout the oscillation period.
Supporting information
S1 Table. Primers used for quantitative real-time PCR.
https://doi.org/10.1371/journal.pone.0257417.s001
(DOCX)
S2 Table. Gene ontology analysis of differentially expressed genes in liver.
Gene ontology categories with corrected P values of enrichment significance below 0.05 are shown.
https://doi.org/10.1371/journal.pone.0257417.s002
(DOCX)
Acknowledgments
We thank the Institute of Subtropical Agriculture, Chinese Academy of Sciences (Changsha, China) for its assistance in detecting 15N abundance in feces.
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