Introduction
Bovine milk and dairy products are important and traditional nutritious foods for humans, especially for infants and elderly people. However, the consumption of milk has raised some health concerns due to its high concentrations of saturated fatty acids (SFAs), which are implicated in cardiovascular diseases, weight gain and obesity (Haug et al. Reference Haug, Høstmark and Harstad2007). The high SFA in milk is largely attributed to the rumen microbial biohydrogenation (RBH) of unsaturated FAs (UFAs) (Haug et al. Reference Haug, Høstmark and Harstad2007; Yang et al. Reference Yang, McKain and McCartney2019; Zhao et al. Reference Zhao, Yu and Zhao2022). On the other hand, some RBH intermediates (biohydrogenation intermediates [BIs]), such as trans-11 C18:1 and cis-9,trans-11 C18:2, increase milk conjugated linoleic acids (CLAs), which are considered health-promoting in humans (Zongo et al. Reference Zongo, Krishnamoorthy and Moses2021).
Some ruminal metabolic processes are interlinked with others due to cross-feeding among microbial species (Lourenço et al. Reference Lourenço, Ramos-Morales and Wallace2010; Mizrahi et al. Reference Mizrahi, Wallace and Moraïs2021). Molecular (H2) and metabolic ([H]) hydrogen are important rumen fermentation intermediates and can be released by microbes when they ferment dietary carbohydrates to acetate and butyrate (Ellis et al. Reference Ellis, Dijkstra and Kebreab2008; Janssen Reference Janssen2010; Ungerfeld and Emilio Reference Ungerfeld2020). Methanogenesis and propionogenesis are the main routes for ruminal hydrogen removal (Hristov et al. Reference Hristov, Oh and Lee2013; Wang et al. Reference Wang, Janssen and Sun2013). Although RBH only consumes 1% to 2% of the produced hydrogen (Nagaraja et al. Reference Nagaraja, Newbold, van Nevel, Hobson and Stewart1997), it can convert most dietary UFAs to SFAs (Jenkins et al. Reference Jenkins, Wallace and Moate2008; Lourenço et al. Reference Lourenço, Ramos-Morales and Wallace2010). Our previous researches (Li et al. Reference Li, Lei and Chen2021, Reference Li, Liu and Cao2018b, Reference Li, Ren and Liu2018c) have revealed the hydrogen competition between methanogenesis and propionogenesis. For example, supplying fumarate (FUM), an intermediate in the succinate–propionate pathway, could redirect hydrogen away from methanogenesis to propionogenesis (Li et al. Reference Li, Lei and Chen2021, Reference Li, Liu and Cao2018b). However, little information is available detailing the influences of manipulation of ruminal propionogenesis and methanogenesis on the RBH and then the milk FA profiles.
Here, in vivo and in vitro experiments were conducted to fill in the above missing information. The objective of the in vivo study was to investigate the persistent and combined effects of FUM (a propionogenesis enhancer) and N-[2-(nitrooxy)ethyl]-3-pyridinecarboxamide (NPD, a methanogenesis inhibitor) (Jin et al. Reference Jin, Meng and Wang2017; Li et al. Reference Li, Lei and Chen2021) on RHB and milk FA profiles in lactating dairy goats over a course of 12 wks. A meta-analysis has showed that only an average of 48% of added FUM was converted to propionate in the in vitro rumen fermentation, likely due to its high FUM concentration and low converted capacity (Ungerfeld et al. Reference Ungerfeld, Kohn and Wallace2007). Therefore, the objective of the in vitro study was to investigate the restrictive factors for the conversion rate of FUM to propionate and the anti-RBH potential of FUM.
Materials and methods
All experimental procedures were approved by the Northwest A&F University Animal Care and Use Committee, in compliance with the Regulations for the Administration of Affairs Concerning Experimental Animals.
Animals, experimental design and sample collection
The animals, dietary ingredients and chemical composition, feed intake, rumen fermentation and lactation parameters of this study have been described previously (Li et al. Reference Li, Lei and Chen2021). Briefly, 24 primiparous Guanzhong dairy goats were used in a 12-wk randomized complete block design experiment. Goats were blocked based on days in milk, body weight and daily milk production, and within each block were randomly assigned to one of four treatments: control (CON), a basal diet with a forage-to-concentration ratio of 48:52; basal diet supplemented with FUM (C4H4O4, Aladdin®, Shanghai, China) at 34 g/d; basal diet supplemented with NPD (C8H9N3O4, J&K Scientific®, Beijing, China) at 0.5 g/d; and the basal diet supplemented with both FUM and NPD. The supply doses of FUM and NPD were determined based on the published data (Jin et al. Reference Jin, Meng and Wang2017; Li et al. Reference Li, Liu and Cao2018b).The goats were separately fed and milked twice daily at 07:30 and 17:30 h, and had free access to water.
The feeding experiment lasted 12 wks, and samples were collected at wk 3, 6, 9 and 12. On d 1–4 of each sample collection week, the morning and evening milk of each goat from each day were mixed, and then 45 mL of subsample was collected. On d 5–6 of each sample collection week, blood samples were collected from an external jugular vein into two 10-mL blood tubes before the morning feeding, and ruminal content samples were collected by an oral rumen tube at 6 h after morning feeding. To minimize saliva contamination, approximately 50 mL of ruminal content was discarded before sample collection. The blood sample in the tube was allowed to clot at room temperature for 30 min and centrifuged (3000 ×g, 15 min) thereafter to obtain serum. All samples were stored at −80°C before analysis.
Fatty acid analysis
The composition of fatty acid (FA) in the milk and rumen content samples was analyzed as described previously (Sun and Gibbs Reference Sun and Gibbs2012) with some modifications. Briefly, the milk samples of each goat were freeze-dried and mixed for each week, so were the rumen content samples and blood samples. Each mixed sample (500 mg) was directly methylated using 4 mL of 0.5 mol/L NaOH/methanol (15 min at 50°C) and remethylated using 4 mL of 5% HCl/methanol (1 h at 50°C). The FA methyl esters in each sample were extracted with 2 mL of heptane and then analyzed using gas chromatography (GC 7820A; Agilent Technologies, Diegem, Belgium) equipped with a fused silica capillary column (SP-2560, 100 m × 0.25 mm × 0.2 μm; Supelco Inc., Bellefonte, PA, USA) and an iron trap mass detector system (MSD 5977E; Agilent Technologies), with helium as the carrier gas. The split ratios were 20:1, 10:1 and 5:1 for the milk, rumen content and blood samples, respectively. The parameters and conditions of GC-MS were set as described previously (Alves and Bessa Reference Alves and Bessa2007; Sun and Gibbs Reference Sun and Gibbs2012). C19:0 was used as an internal standard. A 37-component FAME mix (Sigma Chemical Co, Saint Louis, USA) and other four FAME mixes (ME 61, ME93, BR2 and BR3, Larodan Fine Chemicals AB, Malmo, Sweden) were used as external standards.
Calculation and statistical analysis
The RBH completeness was calculated as described by Alves et al. (Reference Alves, Francisco and Costa2017), assuming a complete RBH of the C18 FA from the diet:
RBH completeness (%) = C18:0R/[(cis-9 C18:1D − cis-9 C18:1R) + (C18:2n − 6D − C18:2n − 6 R) + (C18:3n − 3D − C18:3n − 3R) + C18:0D] × 100
where C18:0D/R, cis-9 C18:1D/R, C18:2n − 6D/R and C18:3n − 3D/R are C18:0, cis-9 C18:1, C18:2n − 6 and 18:3n − 3 in the diet or the rumen as a percentage of total C18 FAs, respectively.
The thrombogenicity index and atherogenicity index of milk FA were calculated as described by Ulbricht and Southgate (Reference Ulbricht and Southgate1991):
Thrombogenicity index = (C14:0 + C16:0 + C18:0)/[(MUFA + n − 6 PUFA)/2 + 3(n − 3 PUFA) + (n − 3 PUFA/n − 6 PUFA)]
Atherogenicity index = [C12:0 + 4 (C14:0) + C16:0]/UFA
where MUFA and PUFA are total monounsaturated and polyunsaturated FAs in the milk, respectively.
The milk Δ9 desaturase index was calculated as cis-9 C17:1/(C17:0 + cis-9 C17:1), because cis-9 C17:1 is assumed to be exclusively synthesized endogenously (Natalello et al. Reference Natalello, Luciano and Morbidini2019).
All data related to FA were analyzed by a repeated-measures ANOVA, which considers the time-dependent effects of treatments, using the PROC MIXED program in SAS 9.2 (SAS Institute Inc., Cary, NC, USA). The statistical model included NPD, FUM, wk and NPD × FUM, NPD × wk, FUM × wk and NPD × FUM × wk interactions as fixed factors, and goat and block as random effects. The sampling week was treated as a repeated measure and the goat as a subject. When there was a treatment × wk interaction, differences among treatments at each sampling week were reanalyzed using the MIXED procedure with NPD, FUM and NPD × FUM interaction as fixed factors, and block as a random effect. When there was an NPD × FUM interaction, Tukey’s multiple comparison test was used to assess differences among treatment means.
Metagenomic sequencing and genome catalog constructing
Microbial DNA was extracted from the rumen samples at wk 6 following the protocol of Yu and Morrison (Reference Yu and Morrison2004), and then sequenced by an Illumina HiSeq X Ten platform with 150-bp paired-end reads (14 G per sample). To obtain a more complete and high-quality metagenome-assembled genome (MAG) catalog, we also collected 24 published rumen metagenomes (Shen et al. Reference Shen, Zheng and Chen2020; Shi et al. Reference Shi, Zhang and Wang2022) from dairy goats in the same farm.
The metagenomic data were individually cleaned, assembled (--use-megahit option), binned (--maxbin2 --concoct --metabat2 options) and bin-refined (-c 50 -x 10 options) using the metaWRAP pipeline (Uritskiy et al. Reference Uritskiy, DiRuggiero and Taylor2018). The metagenomes in each treatment group were co-assembled and co-binned as described above. The acquired MAGs with CheckM (Parks et al. Reference Parks, Imelfort and Skennerton2015) estimated genome quality score (completeness – 5*contamination + log(N50)) ≥ 50, completeness >50% and contamination <10% were retained. These MAGs were dereplicated twice by <99% average nucleotide identity (ANI) to obtain the strain-level MAG catalog using dRep (Olm et al. Reference Olm, Brown and Brooks2017) with options --S_algorithm ANImf -sa 0.99 -nc 0.2 -comW 1 -conW 5 -N50W 1.
The MAGs were taxonomically annotated using the GTDB-Tk v2.0.0 (Parks et al. Reference Parks, Chuvochina and Waite2018). The relative abundance of MAGs in samples was quantified using Quant_bins module of metawrap (Uritskiy et al. Reference Uritskiy, DiRuggiero and Taylor2018). The relative abundance is expressed as CPM (genome copies per million reads), a similar way like TPM (transcripts per million reads) in RNAseq analysis.
Gene catalog construction and functional annotation
Gene coding sequences of the assembled contigs from megahit were predicted using Annotate_bins module of metawrap (Uritskiy et al. Reference Uritskiy, DiRuggiero and Taylor2018). The predicted genes were clustered using CD-HIT [47] with parameter -n 9 -c 0.95 -G 0 -aS 0.9 to construct the nonredundant gene catalog. Functional annotation (KEGG, GO and COG) of the gene catalog was performed using eggNOG mapper (v2.1.7) with the DIAMOND mapping mode, based on the eggNOG 5.0 orthology data (Huerta-Cepas et al. Reference Huerta-Cepas, Szklarczyk and Heller2019). The relative abundance of genes in samples was quantified using CoverM (parameter: --min-read-percent-identity 95, --minread-aligned-percent 60, --min-covered-fraction 0.7, -m tpm).
Microbial and gene diversity analysis
Based on the above MAG and gene abundance, the α-diversities of samples were estimated using the abundance-based coverage estimator (community richness) and Shannon index (community diversity) using vegan package in R v.4.1.1. β-Diversity of the MAG and gene abundance were computed and visualized with principal coordinate analysis plots with Bray–Curtis distance (Bray and Curtis Reference Bray and Curtis1957) in R. A permutational multivariate analysis of variance (PERMANOVA) was performed using the adonis() function in the vegan package to compare the statistical difference in microbial composition. The differentially abundant MAGs and genes among groups were identified using edgeR (Robinson et al. Reference Robinson, McCarthy and Smyth2010).
In vitro rumen fermentation
The in vitro rumen fermentation procedure was conducted according to the method described by Lin et al. (Reference Lin, Wang and Lu2013). Seven treatments (5 replicates each) were evaluated: (1) control (CON); (2) 40 mg FUM (FUM); (3) 5 μg biotin (BIO); (4) 50 μg monension (MON); (5) FUM + biotin (FB); (6) FUM + monension (FM); and (7) FUM + biotin + monension (FBM). The doses of treatments were determined based on the previous studies or in vivo dose (Chen et al. Reference Chen, Wang and Wang2011; Shen and Liu et al. Reference Shen and Liu2017; Ungerfeld et al. Reference Ungerfeld, Kohn and Wallace2007). The 0.5 g substrate (including 70% alfalfa hay, 20% corn, 8% soybean meal and 2% sunflower oil), 25 mL mixed rumen fluid from four cannulated dairy goats, 25 mL McDougall’s buffer and treatment were incubated in 100-mL serum bottles at 39°C for 24 h. At the end of the incubation, the incubation fluid pH and gas production were immediately measured. The incubation fluids were sampled for the analysis of volatile FAs (VFAs) and FA profiles, and the gas was sampled for the analysis of methane production according to the previously described methods (Li et al. Reference Li, Bai and Zheng2018a; Liu et al. Reference Liu, Xu and Cao2017; Zheng et al. Reference Zheng, Wu and Shen2020). The data were analyzed using the MIXED procedure of SAS. The main effects of FUM, biotin, monension and their interactions were investigated.
Results
Effects on FA composition in the rumen contents
Supplementation of the diet with FUM greatly changed the FA compositions of rumen contents (Table 1) such that the proportion of odd carbon and branched-chain FA (OBCFA, by 15.5%, P = 0.022), short-chain FA (SCFA, P = 0.002), long-chain FA (LCFA, P = 0.003) and PUFA (by 32.4%, P < 0.001) were increased, while that of MCFA (P = 0.002) and SFA (by 3.1%, P < 0.001) were decreased. A total of 15 individual FAs were increased by FUM, while only C16:0 (by 4.9%, P = 0.004) and C18:0 (by 9.6%, P = 0.015), two major RBH end products, were decreased. Compared with CON, FUM increased the proportions of C18:2n − 6 (by 33.5%, P = 0.004) and C18:3n − 3 (by 38.1%, P < 0.001), two major RBH substrates. Regarding the proportion of BIs, trans-10 C18:1, trans-11 C18:1 and cis-11 C18:1 were increased (P < 0.05) by FUM, and cis-11 C18:1 tended to be increased (P = 0.051), while cis-9,trans-11 CLA, trans-10,cis-12 CLA and the ratio of trans-10 to trans-11 were unchanged. RBH completeness was reduced by 12.5% (P = 0.002) in the animals receiving FUM (Fig. 1a).
Temporal effects of fumarate (FUM), N-[2-(nitrooxy)ethyl]-3-pyridinecarboxamide (NPD), and their combination on biohydrogenation completeness (a), proportion of C18:3n − 3 (b), and trans-11 C18:3n − 3 (c) in the rumen. The biohydrogenation completeness (%) was estimated according to the changes of C18 FA contents in diet and rumen digesta (Alves et al. Reference Alves, Francisco and Costa2017). Note: C, control; FN, FUM + NPD. The P-values of ANOVA of the repeated-measures are shown above the curves, while the P-values of two-way ANOVA for each week are shown below the curves.
Effect of dietary treatments on rumen digesta fatty acid composition of dairy goats
a-c Notes: Means with different superscripts within a row differ significantly (P < 0.05).
Means by treatment were the pooled data (n = 6) of 3, 6, 9 and 12 wk.
CON, control; FUM, fumarate; NPD, N-[2-(nitrooxy)ethyl]-3-pyridinecarboxamide; FN, FUM + NPD; SEM, standard error of means; CLA, conjugated linoleic acid; BI, biohydrogenation intermediates; OBCFA, odd carbon and branched-chain fatty acid; SCFA, short-chain fatty acid (C6:0–C8:0); MCFA, medium-chain fatty acid (C10–C16); LCFA, long-chain fatty acid (C17:0–C24); SFA, saturated fatty acid; MUFA, monounsaturated fatty acid; PUFA, polyunsaturated fatty acid.
Compared with FUM, NPD had a limited effect on the rumen FA profile. The feeding of NPD increased (P < 0.05) the proportions of C6:0, cis-9 C17:1, trans-11 C20:1 and C18:0, resulting in a lower PUFA (by 10.0%, P = 0.045) and a higher SCFA (P = 0.006). RBH completeness was increased by 7.4% (P = 0.036) in the animals receiving NPD (Fig. 1a).
Interactions (P < 0.05) between FUM and NPD were detected with respect to trans-11 C20:1, C20:4n − 6 and C18:3n − 3 (Table 1 and Fig. 1b). A FUM × time interaction (P = 0.015) was detected with respect to trans-11 C18:1 (Fig. 1c), and the increasing effect of FUM was apparent from wk 6 of the treatment and became stronger over time.
Effects on FA composition in the blood and milk
The responses to FUM for the sum of OBCFA, SCFA, MCFA, LCFA, SFA and PUFA in the blood (Table S1) were consistent with those in the rumen contents. Compared with CON, the proportions of C18:3n − 3, C20:0 and C20:4n − 6 in blood were increased (P < 0.05) by FUM supplementation, while that of C16:0 was decreased (P = 0.038). In addition, the proportions of trans-11 C18:1 (P = 0.076) and C18:2n − 6 (P = 0.051) tended to be increased by FUM supplementation, while those of C14:0 (P = 0.098) and C18:0 (P = 0.057) tended to be decreased. Supplementation of diet with NPD reduced the sum of PUFA (by 32.2%, P = 0.006), accompanied with decreased trans-11 C18:1, C18:3n − 3 and cis-11 C20:1.
Inclusion of FUM also greatly changed the FA profile in the milk (Table 2), with the proportion of OBCFA (by 11.9%, P = 0.001), PUFA (by 24.1%, P = 0.004) and MUFA (by 10.3%, P = 0.003) being increased, while that of SFA (by 5.0%, P = 0.001) being decreased. A total of 11 individual FAs were changed in response to FUM, and among them only the proportions of C14:0 (P = 0.042) and C18:0 (P = 0.007) were decreased, leading to a decreased SFA. Increases in C11:0, C13:0 and C15:0 proportions after FUM addition contributed to increased OBCFA. Compared with CON, FUM increased (P < 0.05) the proportion of C18:2n − 6, C18:3n − 3, trans-11 C18:1 and cis-9 C18:1, and tended (P = 0.065) to increase that of cis-9,trans-11 CLA. The ratio of milk t10 to t11 in the goats receiving FUM was lower (P = 0.012) than that in the control. In addition to cis-9 C18:1 and cis-9,trans-11 CLA, other cis-9 FAs (i.e., cis-9 C14:1 [P < 0.001], cis-9 C16:1 [P = 0.099] and cis-9 C17:1 [P = 0.002]) were or tended to be increased by FUM, leading to an increased Δ9 desaturase index (by 15.5%, P = 0.008) (Fig. 2a). Due to these shifts, FUM supplementation decreased (P < 0.01) the milk atherogenicity index by 15.3% and the thrombogenicity index by 19.5% (Fig. 2).
Temporal effects of fumarate (FUM), N-[2-(nitrooxy)ethyl]-3-pyridinecarboxamide (NPD), and their combination on the atherogenecity index (a), thrombogenecity index (b), and desaturase index (c) in milk. C, control; FN, FUM + NPD. The P-value of the repeated-measures ANOVA is presented at the top.
Effect of dietary treatments on the milk fatty acid composition of dairy goats
a,b Notes: Means with different superscripts within a row differ significantly (P < 0.05).
Means by treatment were the pooled data (n = 6) of 3, 6, 9 and 12 wk.
CON, control; FUM, fumarate; NPD, N-[2-(nitrooxy)ethyl]-3-pyridinecarboxamide; FN, FUM + NPD; SEM, standard error of means; CLA, conjugated linoleic acid; OBCFA, odd carbon and branched-chain fatty acid; SCFA, short-chain fatty acid (C6:0–C8:0); MCFA, medium-chain fatty acid (C10–C16); LCFA, long-chain fatty acid (C17:0–C24); SFA, saturated fatty acid; MUFA, monounsaturated fatty acid; PUFA, polyunsaturated fatty acid.
Supplementation with NPD reduced the proportion of MUFA (by 4.9%, P = 0.003), PUFA (by 8.8%, P < 0.001) and LCFA (P = 0.031) in milk while increasing that of SFA (P < 0.001) and MCFA (P = 0.043) (Table 2). The proportion of C14:0 (P = 0.031) was increased, while that of trans-10 C18:1, cis-9 C18:1, cis-9,trans-11 CLA and C20:4n − 6 was decreased (P < 0.05) by NPD. The NPD supplementation increased the milk atherogenicity index (by 10.5%, P = 0.001) and thrombogenicity index (by 8.7%, P < 0.001) and tended to decrease the Δ9 desaturase index (P = 0.075).
Effects on rumen microbial flora structure and function
In this study, we assembled and binned 1.1 Tb rumen metagenomes from dairy goats, generating 1,776 strain-level (<99% ANI) and 1,187 species-level (<95% ANI) MAGs . Of the 1,776 MAGs, 347 were estimated to be near-complete (>90% completeness and <5% contamination), 432 to be high-quality (>80% completeness and >60 quality score), 996 to be moderate-quality (>50% completeness and >50 quality score) (Table S2). A total of 7 MAGs were assigned to 2 phyla of archaea (Methanobacteriota, Thermoplasmatota), and the left MAGs were assigned to 19 phyla of bacteria with two-thirds belonging to Bacteroidetes (733) and Firmicutes_A (527). Additionally, the constructed gene catalog included 598,234 nonredundant genes. Based on the MAG or gene catalog, neither FUM nor NPD affected the microbial α- or β-diversity (Fig. 3).
Effects of fumarate (FUM) and N-[2-(nitrooxy)ethyl]-3-pyridinecarboxamide (NPD), and their combination on the rumen microbial α- or β-diversity at the strain (a, b) or gene level (c, d).
In vitro rumen fermentation
Both tannin and monensin supplementation had no effect on the total VFA or acetate concentrations, monensin tended to increase the propionate concentration (P = 0.060) and reduce the methane production (P = 0.086). The addition of FUM increased (P < 0.05) the gas production, total VFA, acetate and propionate concentrations, and reduced (P < 0.05) the methane production and the ratio of acetate to propionate. However, the actual conversion rate of FUM to propionate was only 54.7%, and it was increased when FUM supplemented in combination with biotin (60.8%) or monensin (77%) alone, and was the highest (80.6%) when in combination with both biotin and monensin (Table 3). Both FUM and monensin reduced (P < 0.05) the proportion of SFA, while increasing that of MUFA and PUFA (P < 0.05), without changing the t10/t11 ratio (Tables 3 and S3). The proportion of ruminal MUFA and PUFA were highest and the methane production was lowest when FUM supplemented in combination with both biotin and monensin.
Effect of dietary treatments on the in vitro methane production, fatty acid composition and fermentation parameters
a,b Notes: Means (n = 5) with different superscripts within a row differ significantly (P < 0.05).
CON, control; FUM, fumarate; BIO, biotin; MON, monensin; FB, FUM + BIO; FM, FUM + MON; FBM, FUM + BIO + MON; SEM, standard error of means; A:P, the ratio of acetate to propionate; VFA, volatile fatty acid; SFA, saturated fatty acids; MUFA, monounsaturated fatty acid; PUFA, polyunsaturated fatty acid.
Discussion
Interdependence among RBH, propionogenesis and methanogenesis
Rumen microbial acetate and butyrate fermentation releases [H], which can be converted to H2 by hydrogenase (Hegarty Reference Hegarty1999) for intercell hydrogen transfer. Methanogenesis, propionogenesis and RBH are primary sinks for ruminal hydrogen. In this study, we proved that manipulation of ruminal methanogenesis and propionogenesis by FUM and NPD could redirect hydrogen toward or away from RBH in dairy goats. The metagenomic analyses showed neither FUM nor NPD affect rumen microbial flora structure and function, suggesting that the FUM and NPD induced hydrogen redirection were likely influenced at the metabolic level rather than at microbial level. Propionogenesis and RBH can both utilize the intracellular [H] transfer and intercellular H2, while methanogens can only use interspecies-transferred H2 (Wang et al. Reference Wang, Janssen and Sun2013). Therefore, RBH is more metabolically interdependent with propionogenesis in hydrogen competition than with methanogenesis, although methanogenesis is the largest sink for ruminal hydrogen. This explains the greater response of rumen FA profiles to FUM than to NPD. Consistently, Yang et al. (Reference Yang, McKain and McCartney2019) observed that methanogenesis and RBH were more independent than previously suggested (Lourenço et al. Reference Lourenço, Ramos-Morales and Wallace2010). Our results suggested that the H2 sinks and the [H] sinks in the rumen should be treated differently and separately when investigating the interdependence among RBH, VFA profiles and methanogenesis or other hydrogen-utilizing processes.
Although both methanogenesis and propionogenesis could compete hydrogen with RBH, methanogenesis represents a loss of dietary energy and a cause of greenhouse effect (Hristov et al. Reference Hristov, Oh and Lee2013) while propionogenesis represents an energy-rendering pathway due to incorporating hydrogen energy and the main precursor of gluconeogenesis in ruminants (Millen et al. Reference Millen, Arrigoni and Pacheco2016). Therefore, it is unwise to reduce RBH by enhancing methanogenesis, while is wise by enhancing propionogenesis.
FUM – a promising RBH inhibitor and milk UFA improver
Because of RBH, the outflow and transfer of dietary UFA from the rumen to milk are limited (Chilliard et al. Reference Chilliard, Glasser and Ferlay2007). For a long time, researchers have been exploring strategies to improve the content and composition of UFA in milk, such as feeding a high fresh grass diet or supplementing vegetable oils or oilseeds (Alves et al. Reference Alves, Francisco and Costa2017; Bainbridge et al. Reference Bainbridge, Egolf and Barlow2017; Hassan et al. Reference Hassan, Salem and M.m.y.2020). Our results suggest that supplementation with the propionate enhancer FUM protects dietary UFAs (i.e., C18:2n − 6 and C18:3n − 3) against RBH by reducing its first step and last step, which results in the accumulation of C18:2n − 6, C18:3n − 3 and trans C18:1 BI. The FUM-increased milk PUFA was partly attributed to the increased supply of PUFA from the gut. In addition, increased milk cis-9 FA (i.e., cis-9 C14:1, cis-9 C16:1, cis-9 C17:1 and cis-9 C18:1) and Δ-9 desaturase index suggest that higher activity of Δ9 desaturase enzyme occurred in the FUM-fed animals. The biosynthesis of Δ9 UFA involves a multi-enzyme system that includes cytochrome b5 reductase, cytochrome b5 and desaturase, which are all located on the mitochondrial membrane. Cytochrome b5 reductase is well-established as using NADH from tricarboxylic acid cycle as an electron donor to catalyze the reduction of cytochrome b5, which then transfers electrons to activate desaturase (Zhang et al. Reference Zhang, Wang and Zhang2016). A recent study showed that FUM supplementation could enhance the tricarboxylic acid cycle in dairy goats (Dong et al. Reference Dong, Tan and Li2024), which likely explain the enhanced activity of desaturases by FUM. Taken together, the reduced RBH and enhanced activity of Δ9 desaturase by FUM modulated the milk FA composition toward higher PUFA and MUFA proportions with lower thrombogenicity and atherogenicity indexes, which are used to predict the risk of ischemic heart disease in humans (Ulbricht and Southgate Reference Ulbricht and Southgate1991). Moreover, these beneficial shifts of the milk FA profiles in response to FUM were persistent throughout the 12-wk of experiment, making FUM a reliable milk UFA improver.
Inclusion of NPD enhanced RBH, resulting in lower milk PUFA and MUFA proportions and higher thrombogenicity and atherogenicity indexes. These changes might be attributed to redirection of the hydrogen spared from methanogenesis by inhibitor was partly diverted to RBH. Consistently, inhibiting methanogenesis with 3-nitrooxypropanol also increased the proportion of SFA in the milk fat of dairy cows (Melgar et al. Reference Melgar, Lage and Nedelkov2021). Therefore, the adverse effects of methanogenesis inhibitor on milk FA profile need to be taken seriously when the inhibitors were fed to dairy animals in the farm. But the adverse effects of NPD in altering the milk FA profile can be eliminated when supplemented in combination with FUM, suggesting that the hydrogen spared from the inhibited methanogenesis by NPD was more likely used for propionate synthesis rather than for RBH.
Enhancing the recovery of FUM as propionate could improve its anti-RBH and anti-methanogenesis potential in vitro
Inconsistent with previous in vivo studies (Li et al. Reference Li, Lei and Chen2021), the average recovery of FUM as propionate has been showed only half of added FUM in vitro (Ungerfeld et al. Reference Ungerfeld, Kohn and Wallace2007) with lower-than-expected anti-methanogenesis potential, which is in accordance with our observations. Previous explanation for the low conversion was that high FUM concentration and short incubation times may exceed the rate of FUM utilization in vitro, and inferred that was limited by FUM-reducer, biotin or vitamin B12 availability (Ungerfeld et al. Reference Ungerfeld, Kohn and Wallace2007). This explanation and inference were proved in this study that monensin and biotin supplementation improved the conversion of added FUM to propionate. As a result, the anti-RBH potential and anti-methanogenesis potential of FUM were improved when supplemented in combination with both biotin and monensin, which further confirmed the hydrogen cross-feeding among RBH, propionogenesis and methanogenesis.
FUM increases the microbial FAs
The increased OBCFA in the milk and the rumen of FUM-fed goats indicate that FUM increased the outflow of bacteria because OBCFA are predominantly of bacterial origin and generally absent from feeds (Or-Rashid et al. Reference Or-Rashid, Odongo and McBride2007). The increased OBCFA are likely associated with FUM-enhanced propionogenesis (Li et al. Reference Li, Lei and Chen2021), as odd-chain FA are formed through elongation of propionate or valerate by rumen microbes (Kaneda Reference Kaneda1991; Or-Rashid et al. Reference Or-Rashid, Odongo and McBride2007). As rumen microbes contain a lower UFA content, the increased OBCFA by FUM would provide structural lipids with optimal fluidity for cell membranes because of their lower melting point than the corresponding straight-chain SFA (Buccioni et al. Reference Buccioni, Decandia and Minieri2012; Or-Rashid et al. Reference Or-Rashid, Odongo and McBride2007).
Conclusion
Manipulation of ruminal methanogenesis and propionogenesis can redirect hydrogen toward or away from RBH and thereby influence the milk FA profiles. The responses of rumen and milk FA profiles to FUM being greater than those to NPD, because RBH is more metabolically interdependent with propionogenesis, due to linking by intracellular [H], than with methanogenesis. Enhancing the recovery of FUM as propionate by monensin and biotin could improve its anti-RBH potential in vitro. The inclusion of FUM in the dairy goat diet can be a promising strategy to persistently reduce RBH and enhance the activity of Δ9 desaturase, both of which work together to improve the content of milk UFA and reduce milk thrombogenicity index and atherogenicity index, a more nutritionally desirable milk FA profiles.
Supplementary material
The supplementary material for this article can be found at https://doi.org/10.1017/anr.2024.22.
Data availability statement
The raw sequencing data are available in the China National GeneBank DataBase (CNGBdb, https://db.cngb.org/cnsa/) under the accession number CNP0005751.
Acknowledgements
This work was supported by National Key Research and Development Program of China (award number: 2023YFE0111800), and the National Natural Science Foundation of China (award number: 31902126). The authors thank Prof. Zhongtang Yu from the Ohio State University for his help in revising the manuscript. We thank the High-Performance Computing Platform of Northwest A&F University for providing computing resources.
Conflicts of interests
The authors declare that they have no conflicts of interests.
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