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Article

In Vitro Screening of East Asian Plant Extracts for Potential Use in Reducing Ruminal Methane Production

1
Department of Agricultural Biotechnology, College of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea
2
Department of Food science and Biotechnology, Sejong University, Seoul 05006, Korea
3
Department of Ecofriendly Livestock Science, Institute of Green Bio Science and Technology, Seoul National University, Pyeongchang 25354, Gangwon-do, Korea
4
Institute of Agriculture and Life Science & University-Centered Labs, Gyeongsang National University, Jinju 52828, Gyeongsangnam-do, Korea
5
National Institute of Animal Sciences, RDA, Jeonju 54875, Jeollabuk-do, Korea
6
Research Centre for Environment Friendly and Quality Livestock Production and Technology, Hankyoung National University, Anseong 17579, Gyeonggi-do, Korea
7
Department of International Agricultural Technology, Graduate School of International Agricultural Technology, Seoul National University, Pyeongchang 25354, Gangwon-do, Korea
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Animals 2021, 11(4), 1020; https://doi.org/10.3390/ani11041020
Submission received: 11 March 2021 / Revised: 30 March 2021 / Accepted: 2 April 2021 / Published: 4 April 2021

Abstract

:

Simple Summary

Methane from ruminants is a major contributor to total greenhouse gases. Therefore, ruminant nutritionists have proposed strategies to mitigate methane emissions, such as chemical inhibitors and ionophores. However, dietary manipulation including natural feed additives is more practical, considering consumer preferences. Therefore, the current experiment screened 137 plant species, indigenous to East Asian countries, to select novel anti-methanogenic candidates as natural feed additives. Among these species, an extract from the seeds of Pharbitis nil exhibited a maximum 37% reduction of methane in a conformation assay. Identification of active compounds present in the seeds of Pharbitis nil revealed enrichment of polyunsaturated fatty acids, which were dominated by linoleic acid (18:2). The extract had negative effects on the populations of ciliated protozoa and H2-producing Ruminococcus flavefaciens, thereby increasing the proportion of propionate, similar to the effect of monensin. This is the first report to suggest that the seeds of P. nil could be a promising anti-methanogenic alternative to ionophores or oil seeds.

Abstract

Indiscriminate use of antibiotics can result in antibiotic residues in animal products; thus, plant compounds may be better alternative sources for mitigating methane (CH4) production. An in vitro screening experiment was conducted to evaluate the potential application of 152 dry methanolic or ethanolic extracts from 137 plant species distributed in East Asian countries as anti-methanogenic additives in ruminant feed. The experimental material consisted of 200 mg total mixed ration, 20 mg plant extract, and 30 mL diluted ruminal fluid-buffer mixture in 60 mL serum bottles that were sealed with rubber stoppers and incubated at 39 °C for 24 h. Among the tested extracts, eight extracts decreased CH4 production by >20%, compared to the corresponding controls: stems of Vitex negundo var. incisa, stems of Amelanchier asiatica, fruit of Reynoutria sachalinensis, seeds of Tribulus terrestris, seeds of Pharbitis nil, leaves of Alnus japonica, stem and bark of Carpinus tschonoskii, and stems of Acer truncatum. A confirmation assay of the eight plant extracts at a dosage of 10 mg with four replications repeated on 3 different days revealed that the extracts decreased CH4 concentration in the total gas (7–15%) and total CH4 production (17–37%), compared to the control. This is the first report to identify the anti-methanogenic activities of eight potential plant extracts. All extracts decreased ammonia (NH3-N) concentrations. Negative effects on total gas and volatile fatty acid (VFA) production were also noted for all extracts that were rich in hydrolysable tannins and total saponins or fatty acids. The underlying modes of action differed among plants: extracts from P. nil, V. negundo var. incisa, A. asiatica, and R. sachalinensis resulted in a decrease in total methanogen or the protozoan population (p < 0.05) but extracts from other plants did not. Furthermore, extracts from P. nil decreased the population of total protozoa and increased the proportion of propionate among VFAs (p < 0.05). Identifying bioactive compounds in seeds of P. nil by gas chromatography-mass spectrometry analysis revealed enrichment of linoleic acid (18:2). Overall, seeds of P. nil could be a possible alternative to ionophores or oil seeds to mitigate ruminal CH4 production.

1. Introduction

Ruminal methane (CH4) production is regarded as the cause of a loss of 3–10% of the gross energy intake of the animal and leads to the unproductive use of dietary energy [1]. Concerns regarding feed energy loss and climate change have led to many scientific studies aimed at lowering enteric CH4 production by ruminants through various mitigation options [2,3]. Notably, feed additives (e.g., CH4 analogues, hydroxymethylglutaryl-CoA reductase inhibitors, and nitrate and organic nitro compounds that are capable of decreasing rumen methanogenesis) have been extensively studied over the past two decades (reviewed in [4,5,6,7,8]). However, the use of certain chemically modified/synthesised compounds has adverse effects on fermentation at effective concentrations [4,5,6,7]. Intriguingly, 3-nitrooxypropanol is widely regarded as a promising candidate for enteric CH4 mitigation [9,10]. In addition to its potential to mitigate CH4, consumer preference may factor into the acceptance of such a synthetic compound if commercially available. Furthermore, concerns have been raised regarding the potential use of antibiotics because of their residues in final products, which have led to bans in the Republic of Korea since 2011 [11,12]. Therefore, natural plant feed additives that might be environmentally friendly and have a high level of acceptance among consumers are desired to improve livestock productivity.
Several studies have suggested that adding plant essential oils or plant extracts rich in plant secondary metabolites (PSM; e.g., tannins, saponins, and flavonoids) to ruminant diets may have beneficial effects on ruminal fermentation and CH4 production (reviewed in [13,14,15]). A comprehensive review by Patra et al. [4] also elaborated the direct and indirect roles of such PSMs against the growth and activity of rumen methanogens and the protozoan population. Similarly, numerous studies have shown that increasing fatty acid concentrations in the diet decreases CH4 production to a greater extent, but often exerts detrimental effects on digestibility and fermentation of feeds, as well as animal performance [16,17,18,19]. Therefore, it would be desirable to discover plant-based fatty acid-rich feed additives that decrease CH4 production, with additional effects of improved digestibility and animal performance.
Screening natural sources at a large scale is an initial step in the discovery and development of new compounds and feed additives. Few studies have performed screening experiments; these include the European Union project “Rumen-up” that evaluated 450 plants and plant extracts [20], 58 plants, herbs, and spices in Spain [21], 156 plants from natural grasslands in France [22], and 93 plant extracts in India [23]. Nevertheless, there is a persistent need to identify potential anti-methanogenic plants for the development of new compounds as natural feed additives, because many in vivo studies have shown adaptation of the additives by rumen microbes [24,25]. Furthermore, no study has focused on large-scale screening of plant species that are widely distributed in East Asian countries for their CH4 reduction potential. Hence, our objectives in this study were to screen 152 plant extracts from 137 plant species of East Asian origin for their potential to reduce CH4 production, in vitro; to study the effect on volatile fatty acids (VFAs) production, to quantify the bioactive compounds of the selected candidates; and to uncover their actions on methanogens, protozoa, and several other rumen cellulolytic bacteria using real-time polymerase chain reaction (PCR) analysis.

2. Materials and Methods

2.1. Plant Material

The Plant Extract Bank at the Korea Research Institute of Bioscience and Biotechnology (Daejeon, Korea) has stocked extracts of 1714 species of native Korean plants, which comprise 41% of all Korean plant species (excluding garden plants and food crops). In total, 6016 extracts from plants that are distributed in Korea and other East Asian countries are available at the Plant Extract Bank as an easy source to discover beneficial phytochemicals. Initially, 152 plant methanolic or ethanolic extracts from 137 plant species that were indigenous to East Asian countries were obtained, and their scientific names and the plant parts used for solvent extraction are listed in Table 1.

2.2. In Vitro Rumen Fermentation Assay

Two cannulated Holstein steers (mean body weight 680 ± 30 kg), cared for in accordance with the guidelines of the Animal Ethical Committee, Seoul National University, Republic of Korea (approval number SNU-160105-1), were used as rumen fluid donors. The animals were fed twice daily with 3.5 kg rice straw containing (k−1 dry matter [DM]) 857 g organic matter; 48 g crude protein; 26 g ether extract; 768 g neutral detergent fibre; 417 g acid detergent fibre; and 2.0 kg of commercial concentrate with (k−1 DM) 896 g organic matter, 156 g crude protein, 53 g ether extract, 310 g neutral detergent fibre, and 122 g acid detergent fibre. Ruminal digesta of approximately 800 mL was collected from each steer before the morning feeding and strained through four layers of muslin into a pre-warmed flask flushed with O2-free CO2. The fluid was diluted with O2-free buffer (adjusted to pH 7.0) [26] at a ratio of 1:2 (v/v) and placed in a water bath pre-heated to 39 °C with continuous CO2 flushing. Briefly, an in vitro screening assay was performed by incubating 20 mg of the extracts (dissolved in 1 mL of 10% dimethyl sulphoxide) with 30 mL of mixed rumen microorganisms in 60-mL serum bottles containing 200 mg DM of total mixed ration as the substrate. The ingredient and nutrient compositions of the substrate are provided in Table 2. The in vitro screening trial of all 152 plant extracts were tested in 2 different cycles with approximately 9-10 extracts per fermentation run with a total of 8 runs per cycle. Each run contained a control (i.e., with substrate and without plant extract), treatment (i.e., with substrate and 20 mg of plant extract), positive control (i.e., with substrate and 30 ppm of monensin; CAS No. 22373-78-0, Sigma-Aldrich, St. Louis, MO, USA), and three replicates. The bottles were sealed with rubber stoppers, covered with aluminium, and incubated at 39 °C for 24 h. After the completion of eight fermentation run (one cycle), potential candidates were chosen based on their abilities to decrease CH4 production by more than 20%, compared to their respective controls [21]. The same experimental procedure was followed for the screening assay in the second cycle. In vitro confirmation incubations using the selected potential candidates from each cycle of the screening test were performed to validate the results. In this assay, there were four replications of the control, monensin, and each candidate at a lower dosage of 10 mg. The fermentation run was repeated on three different days to check consistency.

2.3. Measurements and Chemical Analysis

After 24 h of incubation, the total gas volume in the headspace of the bottle was measured using a water displacement apparatus [27]. A gas sample was transferred to a 10-mL vacuum tube (ref 364979, BD Vacutainer, Becton Dickinson, Franklin Lakes, NJ, USA) for CH4 analysis. Then, the bottles were placed on ice to stop fermentation, the incubation medium was transferred to a 50-mL beaker, and the pH was measured using a pH meter (model AG 8603; Seven Easy pH, Mettler-Toledo, Schwerzenbach, Switzerland). For the microbial analysis, a 10-mL sample of incubation medium was stored at −80 °C until DNA was extracted. The remaining medium was centrifuged at 12,000× g for 10 min (Centrifuge Smart 15, Hanil Science Industrial, Seoul, Korea), and the supernatant was stored at −20 °C to determine the ammonia nitrogen (NH3-N) and volatile fatty acid (VFA) concentrations.
CH4 concentration in the headspace gas was determined using the Agilent 7890B GC system (Agilent Technologies, Santa Clara, CA, USA) with a flame ionization detector. The inlet and detector temperature were maintained at 200 °C and 250 °C, respectively. A 10-mL sample was injected through the back inlet using a 10-mL graduated syringe connected to a two-way stopcock (KOVAX, Seoul, Korea) with a split ratio of 10:1 into a 30 m × 0.53 mm × 20 μm HayeSep Q–ValcoPLOT fused-silica capillary column (CFS-PQ3053-200, VICI Metronics, Danvers, MA, USA). The carrier gas helium (99.99%; Air Korea) was set to a flow rate of 10 mL/min and the oven temperature of 80 °C was held constant for 2.5 min. CH4 content was calculated by external calibration, using a certified gas mixture (8% mol/mol balance N2; Air Korea). The NH3-N concentration was determined using a modified colorimetric method [28]. For VFA analysis, 5.0-mL aliquot of sample was mixed with 1.0 mL 25% HPO3 and 0.2 mL 2% pivalic acid [29], then analysed using gas chromatography as described previously to identify the VFAs [30]. The feed and substrate samples were dried in a forced-air oven at 65 °C for 72 h to estimate DM content and then ground to pass through a 1-mm screen (Model 4, Thomas Scientific, Swedesboro, NJ, USA). Nutrient compositions were determined using methods described previously [30].

2.4. Analysis of Plant Secondary Metabolites

Total phenols, total tannins, and condensed tannins were determined in the selected crude extracts based on the method described by Makkar [31]. For extraction, 60 mg of crude methanol or ethanol extract was mixed with 3.5 mL of aqueous acetone (70:30 v/v), vortexed, and incubated at room temperature for 1 h. Subsequently, the mixture was centrifuged at 3000× g (Hanil Science Industrial, Gimpo, Korea) for 10 min, and the supernatant was collected and used for assays. Total phenols and total tannins were expressed as catechin (CAS No. 225937-10-0, Sigma-Aldrich) equivalents and condensed tannins were expressed as cyanidin (CAS No.528-58-5, Sigma-Aldrich) equivalents. Total tannic acids or hydrolysable tannins (HTs) were estimated as the difference between total tannins and condensed tannins [32]. Total saponin (TS) content was determined [33], and expressed as escin (CAS No. 6805-41-0, Sigma-Aldrich) equivalents. PSMs were expressed as units per milligram of extract, because the DM contents of the plant parts and extraction yield were unknown.

2.5. Gas Chromatography-Mass Spectrometry (GC-MS) Analysis

Seeds of Pharbitis nil (100 g) were ground and extracted with 1000 mL of ethanol (98%) for 24 h at room temperature in an orbital shaker. The extract was filtered through Whatman No. 2 filter paper and concentrated using a rotary vacuum evaporator (Heidolph Instruments, Schawabatch, Germany). The resulting extract (without derivatization) was diluted 10-fold, and the GC-MS analysis was performed using a TSQ 8000 triple quadrupole MS interfaced with a TRACE 1310 GC (Thermo Scientific, Waltham, MA, USA) equipped with a TG-5MS (30 × 0.25 mm× 0.25 μm; Agilent Technologies) 5%-phenyl-methylpolysiloxane fused capillary column. Pure helium gas (99.99%; Air Korea) was used as the carrier gas at a constant flow rate of 1.2 mL/min and a splitless injection volume of 1 μL. The injector temperature was maintained at 280 °C and oven temperature was programmed from 80 °C (isothermal for 2 min), with an increase of 15 °C/min to 250 °C (isothermal for 5 min), then 15 °C/min to 300 °C, ending with a 4-min isothermal incubation at 300 °C. Mass spectra were collected at 70 eV with a scan-interval of 1.0 s and fragments ranging from 50 to 550 m/z. The solvent delay was 0 to 2 min, and total run time was 25 min. Phytochemicals present in the extracts were identified based on a comparison of their mass spectral patterns with the spectral database at the library of the National Institute of Standards and Technology (NIST, Gaithersburg, MD, USA).

2.6. DNA Extraction and Real-Time PCR

Genomic DNA from the incubation medium was extracted using the NucleoSpin soil kit (Macherey-Nagel, DuÈren, Germany), and nucleic acid concentrations were measured as described previously [30]. The integrity of the gDNA was confirmed by visualising the bands using eco dye-stained (Biofact, Seoul, Korea) agarose gel electrophoresis. Real-time PCR assays to determine the relative abundances of major cellulolytic bacteria, such as Ruminococcus albus, Ruminococcus flavefaciens, Fibrobacter succinogens, total methanogens, and ciliated protozoa were performed using the SYBR Green real-time-PCR Master Mix (Bioneer, Daejeon, Korea) and the CFX96 Touch™ Real-Time PCR Detection System (Bio-Rad Laboratories Inc., Hercules, CA, USA). Thermal cycling was performed based on the annealing temperature that showed high product band intensity and determined by multiple gradient PCR for each primer set as shown in Table 3. The primers targeted the 16 s or 18 s variable region for relative quantification. Briefly, the PCR was carried out in 20-μL total reaction volumes containing 20 ng gDNA, 10 μL SYBR Green RT-PCR Master Mix, and 1.0 μL of each 10-μM primer. Thermal cycling consisted of initial denaturation at 95 °C for 10 min, followed by 40 cycles at 94 °C for 15 s and annealing for 30 s followed by extension at 72 °C for 30 s [34]. The annealing was carried out at specific temperatures corresponded for each primer sets as mentioned in Table 3. After an amplification cycle, a melting curve analysis was performed starting at 65 °C with an increase of 0.5 °C to 95 °C, followed by a plate read. The 2−ΔΔCT method was used to determine the relative fold-changes [35], and all data were normalised to the abundance of total bacteria.

2.7. Statistical Analysis

In screening assay, Student’s t-test was used to compare the total gas and CH4 production levels in the control bottles with those levels in bottles containing a given plant additive from the same incubation run. The effects were expressed as relative change to the value of the control for the specific incubation run. The confirmation assay results were analysed using one-way analysis of variance, followed by Newman–Keuls multiple comparison tests. All statistical analyses were performed using GraphPad Prism, version 5.0 (GraphPad Software Inc., La Jolla, CA, USA), and a p-value < 0.05 was considered statistically significant. To identify bacterial lineages and other parameters that differentiated the control and treatment groups, we performed principal component analysis using the fviz_pca_biplot function in the FactoMineR [39] package of R-software, version 4.0.3 (The R Foundation for Statistical Computing, Vienna, Austria). The non-parametric Kendall rank-correlation coefficient was calculated to identify correlations among CH4 production, fermentation characteristics, bacterial communities, and PSMs using the PROC CORR function in SAS software, version 9.4 (SAS Institute, Cary, NC, USA).

3. Results and Discussion

While many strategies have been proposed to mitigate enteric CH4 [2,3], most (e.g., defaunation, direct-fed microbials, ionophores, and bacteriocins) are difficult to implement at the farm level due to practical difficulties. Therefore, dietary manipulations, such as plant-based anti-methanogenic feed additives, offer highly effective CH4 mitigation approaches [4,13,14,15,16,19,40,41,42]. In vitro experimental models are very useful for the preliminary screening of a large number of plant additives to select a few potent additives with desired characteristics. Plants are either directly used in the reaction mixture [20,21,22] or used as dry extracts during the screening process [23]. Therefore, we initially obtained 152 dry methanolic or ethanolic extracts of 137 plant species that are widely distributed in Korea and could be readily available as potential feed additives.
The relative effects of each plant extract on total gas and CH4 production (mmol per g of DM) during a screening assay conducted during the two different cycles are shown in Figure 1. CH4 production decreased by more than 10% in 20% of the extracts tested. Although the extracts from stems of Acer tegmentosum Maxim., leaves of Carpinus laxiflora (Siebold & Zucc.) Blume, leaves of Cleyera japonica Thunb., aerial parts of Erigeron annuus Pers., stems of Taxus cuspidate Siebold & Zucc., and stems of Ginkgo biloba L. exhibited a reduction of CH4 close to 20%, they were not included as candidates for the confirmation assay. Only eight extracts (5% of the extracts tested) reduced (p < 0.1) CH4 production by more than 20% (Supplementary Table S1) and were considered promising candidates for subsequent confirmation assays. These included stems of Vitex negundo var. incisa (Lam.) C.B. Clarke (VI), stems of Amelanchier asiatica (Siebold & Zucc.) Endl. ex Walp. (AM), fruit of Reynoutria sachalinensis Nakai (RE) from cycle 1, seeds of Tribulus terrestris L. (TR), seeds of Pharbitis nil (L.) Choisy (PA), leaves of Alnus japonica Siebold & Zucc. (AL), stems and bark of Carpinus tschonoskii Maxim. (CA), and stems of Acer truncatum Bunge (AC) from cycle 2. Among these, PA exhibited the maximum reduction of CH4 by 63%, compared to the control. Most potential plant extracts decreased (p < 0.1) total gas production by 12–35%, except VI and TR, which had a negligible effect (Supplementary Table S1). These results could be attributed to the dosage (20 mg) of the plant extracts, which may have had a detrimental effect on ruminal microbes. Thus, the plant extracts were tested at a relatively lower dosage (10 mg) in subsequent confirmation assays, compared to the dosage in screening assays.
The effects of the selected candidates on CH4, gas production, fermentation characteristics, and microbial abundance were confirmed in an in vitro assay (Table 4 and Table 5). Significant decreases (p < 0.05) in CH4 production (mmol per g of DM incubated) in response to adding VI (17%), AM (17%), RE (19%), TR (22%), PA (37%), AL (27%), AC (23%), and CA (23%) were observed at half extract concentrations, compared to the screening assay. This also corresponded to reductions of CH4 concentration in total gas of 7%, 11%, 9%, 9%, 15%, 11%, 10%, and 10% (p < 0.05), respectively, compared to the control.
Principal component analysis also discriminated the treatments from their respective controls, explaining 57.6% and 47.8% of variation during cycles 1 and 2, respectively (Figure 2). Furthermore, this is the first study to report the anti-methanogenic activities of these extracts, although reports regarding such activities are available for leaves of VI [43], and gross saponins from TR [44]. However, the extents of CH4 mitigation in previous studies might not be comparable with the extent in the current study because of the different plant parts and dosages used. In addition, despite the lower dose of supplemented extracts compared to the screening assay, an increase (p < 0.05) in pH and decreases (p < 0.05) in total gas production, total VFA, and NH3-N were detected in the confirmation assay. A higher pH and reduced VFA concentrations are indications of overall inhibition of rumen microbial fermentation, which would not be nutritionally beneficial to the host animal, since VFAs are major energy source for the ruminants [45]. However, this effect is comparable with the effect of monensin, suggesting that the extracts have similar properties to those of monensin. This could be attributed to the greater concentrations of PSMs in the tested extracts, which are known for their anti-microbial activities [46]. Most of the plant extracts tested in this study (except seeds of TR and PA) were rich in total phenols, total tannins, HTs, and TSs (Table 6). This is consistent with previous studies reporting greater concentrations of polyphenols, flavonoids, and saponins in tested plant species with anti-microbial properties [47,48,49,50,51,52]. It has also been reported that HTs reduce the production of total VFAs through actions on ruminal microbes [53,54]. This is further supported by the significant decrease (p < 0.001) in the F. succinogens population in this experiment (Table 5), which is an efficient producer of succinate and the major precursor for propionate synthesis [55].
Similarly, the decrease in NH3-N might be related to proteolysis inhibition through the formation of insoluble tannin–protein complexes [56,57]. Getachew et al. [58] reported a decrease in protein degradation and NH3-N after supplementation with tannic acids. This finding suggests that the addition of a tannin-rich extract might minimise the degradability of protein in the rumen and exert beneficial effects similar to those that occur when ruminants are supplemented with rumen undegradable protein (reviewed in [59]). Hydrolysable tannins with low molecular weight and less structural variability than condensed tannins result in more consistent reduction of CH4 due to gallic acid subunit binding to methanogens [60]. In the current study, the HT concentration provided by the extracts (1.15–1.35 g/100 g DM) was comparable with the level (1.43 g/100 g DM) supplemented in the study by Aboagye et al. [60], who observed a 9% decrease in CH4 yield. In addition, Jayanegara et al. [61] showed that HTs decrease the methanogen population and microbes, which provide H2 to a greater extent, compared to condensed tannins. Pure saponins and saponin-containing plants or extracts have inhibitory effects on protozoans (reviewed in [62]), which contribute to CH4 production via interspecific H2 transfer to methanogens [63]. In the current study, the abundances of total methanogens in VI, AM, and RE decreased (p < 0.001), as did ciliated protozoa in VI and RE (p < 0.001), compared to the control (Table 4). These findings clearly showed the effects of HTs and TSs on H2 and CH4 production, which thereby affect total gas production. These findings were supported by stronger negative (τ = −0.51, p = 0.070) and positive (τ = 0.64, p < 0.05) correlations between TS content and CH4 production, and protozoan abundance and gas production, respectively (Table 7). However, AL, AC, and CA reduced CH4 without any negative effects on methanogens or the protozoan population, compared to the control (Table 5). Expression analysis of methyl-co reductase (MCR) gene can provide a better understanding of complex methanogenesis processes than methanogen abundance analyses based on 16s rDNA [64]. Other studies have also demonstrated that CH4 production is not correlated with methanogens abundance, but with its composition (reviewed in [65]). Furthermore, saponins may decrease the activities of CH4 producing genes or the rate of CH4 production in methanogenic cells [66], suggesting that PSMs from different sources have different effects on microbes and methanogenesis [67]. However, directly or indirectly inhibiting CH4 production entails a change in the VFA profile, mostly favouring greater propionate production [68]. Gram-positive ruminal bacteria generally produce acetate and butyrate, while Gram-negative bacteria produce propionate [69]. The decrease in CH4 production caused by most of the tested extracts in this experiment, without any changes in the proportions of individual VFAs (except PA), suggests broad spectral antibacterial activities of PSMs targeting Gram-positive and negative bacteria. However, no negative effects were observed on selected microbes, such as R. flavefaciens and R. albus, in this experiment. Some studies have reported that PSMs target other ruminal microbes with minimal effects on Ruminococcus spp. (reviewed in [46]).
Despite the ban on the non-therapeutic use of monensin in the Republic of Korea, it remains one of the most commonly used ionophores in ruminants in other countries. Monensin supplementation has been associated with decreased methanogenesis accompanied by improved feed digestibility, increased propionate synthesis, and decreased NH3-N production [70]. A recent study [71] also showed a decrease in CH4 production coupled with a decrease in H2-producing microorganisms (e.g., protozoa, fungi, and Gram-positive Firmicutes) after supplementation with monensin. Intriguingly, in the current study, the decrease in CH4 production caused by PA alone was accompanied by decreases in protozoan abundance and NH3-N concentration, as well as an increase in the proportion of propionate, similar to the effect of monensin (Table 5).
Principal component analysis grouped PA and monensin, explaining 47.8% of the variation from their respective controls (Figure 2b). The PCA analysis also exhibited a strong correlation of propionate towards PA and monensin, further supporting our statement. The observed effect of PA with a very low concentration of TSs and near absence of HTs suggests the presence of other potentially bioactive compounds in PA. GC-MS analysis revealed the presence of a heterogeneous mixture, dominated by polyunsaturated fatty acids (Table 8). Seeds of P. nil had greater concentrations of 9,12-octadecadienoic acid (Z,Z)- (23%), commonly known as linoleic acid (18:2), followed by 9,12-octadecadienoic acid (Z,Z)-,2,3-dihydroxypropyl ester (18%) commonly known as alpha-glyceryl linoleate. Overall, 60% of the compounds identified were classified either as fatty acids or fatty acid amides. A meta-analysis by Patra et al. [19] established negative associations between total dietary polyunsaturated fatty acid concentrations and CH4, VFAs, and NH3-N production in the rumen. The effects of polyunsaturated fatty acids on CH4 production were attributed to the change in H2 thermodynamics in the rumen, caused by inhibition of protozoa, biohydrogenation of unsaturated fatty acids, and increased production of propionic acid, which compete with methanogenesis for metabolic H2 [72,73]. A strong negative association (τ = −0.51, p = 0.070) was noted between protozoan abundance and propionate proportion in the current study. A meta-analysis by Guyader [74] reported a decrease in protozoan abundances in experiments supplemented lipids on ruminants’ diet, which was due to changes in membrane permeability, resulting in cell lysis [75]. In addition, Dohme et al. [76] reported a detrimental effect of linoleic acid (18:2) on the protozoan and total bacterial populations. This is consistent with the decreased (p < 0.001) abundance of the ciliated protozoa, R. flavefaciens and F. succinogens in PA, in the current study. However, complete metabolite profile of PA using chromatographic techniques with proper derivatization procedures would give deeper understanding of the compound responsible for the action. Moreover, enrichment of dietary linoleic acid (18:2), a precursor of bioactive conjugated linoleic acids [77], suggested that PA seeds might be a promising feed additive for ruminants. In addition, PA seeds have been widely used in Korean and Chinese traditional medicine for their roles in improving digestibility and intestinal motility (reviewed in [78]). Therefore, PA seeds could act as a source of fatty acids, probably replacing oil seeds that have been reported to decrease DM and neutral detergent fibre digestibility [19]. However, future in vitro or in vivo trials are needed to confirm their effects on rumen nutrient digestibility and animal performance, since the protozoal defaunation was associated with decrease in rumen organic matter digestibility and specifically NDF and ADF digestibility [79].

4. Conclusions

The extracts rich in phenolic compounds from stems of A. asiatica, fruit of R. sachalinensis, seeds of T. terrestris, leaves of A. japonica, stems and bark of C. tschonoskii, and stems of A. truncatum reduced CH4 production and fermentation rates in vitro. The negative effects on total gas and VFA production suggest the need to standardise the doses of plant extracts that are effective for inhibiting CH4 emissions with minimum adverse effects on fermentation. These supplemental plant extracts seem to decrease the output of ammonia from protein degradation, although the post ruminal nitrogen use efficiency is still remained to be elucidated in ruminants. Notably, the maximum reduction in CH4 production by the extracts from the seeds of P. nil, which are rich in linoleic acid (18:2) and other fatty acid amides, is a promising alternative to ionophores and oilseeds to mitigate CH4 emissions. In vivo trials must be conducted to elucidate the adaptation of rumen microbes to the seeds of P. nil over a prolonged feeding period.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/ani11041020/s1, Table S1: Relative changes in total gas production and methane concentration in gas in screening assay after 24 h of in vitro incubation (replicate = 3).

Author Contributions

Conceptualization, K.H.K.; methodology, K.H.K.; formal analysis, R.B., S.A., R.I., S.J.L., Y.L., I.S.N.; data curation, R.B.; writing—original draft preparation, R.B.; writing—review and editing, R.B. and K.H.K.; software, R.B.; visualization, R.B.; funding acquisition, K.H.K.; supervision, M.B. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by the National Institute of Animal Science, Ministry of Rural Development Administration, Republic of Korea (research project PJ01477802).

Institutional Review Board Statement

This study was conducted in accordance with the guidelines of the Animal Care and Use Committee of Seoul National University, Republic of Korea (approval number 160105-1).

Informed Consent Statement

Not applicable.

Data Availability Statement

All data generated in this study are included in the manuscript and Supplementary Files.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Appuhamy, J.A.D.R.N.; France, J.; Kebreab, E. Models for predicting enteric methane emissions from dairy cows in North America, Europe, and Australia and New Zealand. Glob. Chang. Biol. 2016, 22, 3039–3056. [Google Scholar] [CrossRef]
  2. Hristov, A.N.; Oh, J.; Firkins, J.L.; Dijkstra, J.; Kebreab, E.; Waghorn, G.; Makkar, H.P.S.; Adesogan, A.T.; Yang, W.; Lee, C.; et al. SPECIAL TOPICS—Mitigation of methane and nitrous oxide emissions from animal operations: I. A review of enteric methane mitigation options. J. Anim. Sci. 2013, 91, 5045–5069. [Google Scholar] [CrossRef] [Green Version]
  3. Knapp, J.R.; Laur, G.L.; Vadas, P.A.; Weiss, W.P.; Tricarico, J.M. Invited review: Enteric methane in dairy cattle production: Quantifying the opportunities and impact of reducing emissions. J. Dairy Sci. 2014, 97, 3231–3261. [Google Scholar] [CrossRef] [Green Version]
  4. Beauchemin, K.A.; Kreuzer, M.; O’Mara, F.; McAllister, T.A. Nutritional management for enteric methane abatement: A review. Aust. J. Exp. Agric. 2008, 48, 21–27. [Google Scholar] [CrossRef]
  5. Buddle, B.M.; Denis, M.; Attwood, G.T.; Altermann, E.; Janssen, P.H.; Ronimus, R.S.; Pinares-Patiño, C.S.; Muetzel, S.; Neil Wedlock, D. Strategies to reduce methane emissions from farmed ruminants grazing on pasture. Vet. J. 2011, 188, 11–17. [Google Scholar] [CrossRef] [PubMed]
  6. Patra, A.K. Enteric methane mitigation technologies for ruminant livestock: A synthesis of current research and future directions. Environ. Monit. Assess. 2012, 184, 1929–1952. [Google Scholar] [CrossRef] [PubMed]
  7. Martin, C.; Morgavi, D.P.; Doreau, M. Methane mitigation in ruminants: From microbe to the farm scale. Animal 2010, 4, 351–365. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Patra, A.; Park, T.; Kim, M.; Yu, Z. Rumen methanogens and mitigation of methane emission by anti-methanogenic compounds and substances. J. Anim. Sci. Biotechnol. 2017, 8. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  9. Hristov, A.N.; Oh, J.; Giallongo, F.; Frederick, T.W.; Harper, M.T.; Weeks, H.L.; Branco, A.F.; Moate, P.J.; Deighton, M.H.; Williams, S.R.O.; et al. An inhibitor persistently decreased enteric methane emission from dairy cows with no negative effect on milk production. Proc. Natl. Acad. Sci. USA 2015, 112, 10663–10668. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Vyas, D.; Alemu, A.W.; McGinn, S.M.; Duval, S.M.; Kindermann, M.; Beauchemin, K.A. The combined effects of supplementing monensin and 3-nitrooxypropanol on methane emissions, growth rate, and feed conversion efficiency in beef cattle fed high-forage and high-grain diets. J. Anim. Sci. 2018, 96, 2923–2938. [Google Scholar] [CrossRef] [PubMed]
  11. Lee, H.-J.; Cho, S.-H.; Shin, D.; Kang, H.-S. Prevalence of Antibiotic Residues and Antibiotic Resistance in Isolates of Chicken Meat in Korea. Korean J. food Sci. Anim. Resour. 2018, 38, 1055–1063. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Maron, D.F.; Smith, T.J.S.; Nachman, K.E. Restrictions on antimicrobial use in food animal production: An international regulatory and economic survey. Global. Health 2013, 9, 48. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Dhanasekaran, D.K.; Dias-Silva, T.P.; Filho, A.L.A.; Sakita, G.Z.; Abdalla, A.L.; Louvandini, H.; Elghandour, M.M.M.Y. Plants extract and bioactive compounds on rumen methanogenesis. Agrofor. Syst. 2020, 94, 1541–1553. [Google Scholar] [CrossRef]
  14. Klevenhusen, F.; Muro-Reyes, A.; Khiaosa-ard, R.; Metzler-Zebeli, B.U.; Zebeli, Q. A meta-analysis of effects of chemical composition of incubated diet and bioactive compounds on in vitro ruminal fermentation. Anim. Feed Sci. Technol. 2012, 176, 61–69. [Google Scholar] [CrossRef]
  15. Patra, A.K.; Saxena, J. A new perspective on the use of plant secondary metabolites to inhibit methanogenesis in the rumen. Phytochemistry 2010, 71, 1198–1222. [Google Scholar] [CrossRef] [PubMed]
  16. Moate, P.J.; Williams, S.R.O.; Grainger, C.; Hannah, M.C.; Ponnampalam, E.N.; Eckard, R.J. Influence of cold-pressed canola, brewers grains and hominy meal as dietary supplements suitable for reducing enteric methane emissions from lactating dairy cows. Anim. Feed Sci. Technol. 2011, 166–167, 254–264. [Google Scholar] [CrossRef]
  17. Giger-Reverdin, S.; Morand-Fehr, P.; Tran, G. Literature survey of the influence of dietary fat composition on methane production in dairy cattle. Livest. Prod. Sci. 2003, 82, 73–79. [Google Scholar] [CrossRef]
  18. Eugène, M.; Massé, D.; Chiquette, J.; Benchaar, C. Meta-analysis on the effects of lipid supplementation on methane production in lactating dairy cows. Can. J. Anim. Sci. 2008, 88, 331–334. [Google Scholar] [CrossRef]
  19. Patra, A.K. The effect of dietary fats on methane emissions, and its other effects on digestibility, rumen fermentation and lactation performance in cattle: A meta-analysis. Livest. Sci. 2013, 155, 244–254. [Google Scholar] [CrossRef]
  20. Bodas, R.; López, S.; Fernández, M.; García-González, R.; Rodríguez, A.B.; Wallace, R.J.; González, J.S. In vitro screening of the potential of numerous plant species as antimethanogenic feed additives for ruminants. Anim. Feed Sci. Technol. 2008, 145, 245–258. [Google Scholar] [CrossRef]
  21. García-González, R.; López, S.; Fernández, M.; Bodas, R.; González, J.S. Screening the activity of plants and spices for decreasing ruminal methane production in vitro. Anim. Feed Sci. Technol. 2008, 147, 36–52. [Google Scholar] [CrossRef]
  22. Macheboeuf, D.; Coudert, L.; Bergeault, R.; Lalière, G.; Niderkorn, V. Screening of plants from diversified natural grasslands for their potential to combine high digestibility, and low methane and ammonia production. Animal 2014, 8, 1797–1806. [Google Scholar] [CrossRef] [PubMed]
  23. Kamra, D.N.; Patra, A.K.; Chatterjee, P.N.; Kumar, R.; Agarwal, N.; Chaudhary, L.C. Effect of plant extracts on methanogenesis and microbial profile of the rumen of buffalo: A brief overview. Aust. J. Exp. Agric. 2008, 48, 175–178. [Google Scholar] [CrossRef]
  24. Benchaar, C.; Greathead, H. Essential oils and opportunities to mitigate enteric methane emissions from ruminants. Anim. Feed Sci. Technol. 2011, 166–167, 338–355. [Google Scholar] [CrossRef]
  25. Klop, G.; Van Laar-Van Schuppen, S.; Pellikaan, W.F.; Hendriks, W.H.; Bannink, A.; Dijkstra, J. Changes in in vitro gas and methane production from rumen fluid from dairy cows during adaptation to feed additives in vivo. Animal 2017, 11, 591–599. [Google Scholar] [CrossRef] [Green Version]
  26. McDougall, E.I. Studies on ruminant saliva. 1. The composition and output of sheep’s saliva. Biochem. J. 1948, 43, 99–109. [Google Scholar] [CrossRef] [Green Version]
  27. Fedorah, P.M.; Hrudey, S.E. A simple apparatus for measuring gas production by methanogenic cultures in serum bottles. Environ. Technol. Lett. 1983, 4, 425–432. [Google Scholar] [CrossRef]
  28. Chaney, A.L.; Marbach, E.P. Modified reagents for determination of urea and ammonia. Clin. Chem. 1962, 8, 130–132. [Google Scholar] [CrossRef]
  29. Erwin, E.S.; Marco, G.J.; Emery, E.M. Volatile Fatty Acid Analyses of Blood and Rumen Fluid by Gas Chromatography. J. Dairy Sci. 1961, 44, 1768–1771. [Google Scholar] [CrossRef]
  30. Bharanidharan, R.; Arokiyaraj, S.; Kim, E.B.; Lee, C.H.; Woo, Y.W.; Na, Y.; Kim, D.; Kim, K.H. Ruminal methane emissions, metabolic, and microbial profile of Holstein steers fed forage and concentrate, separately or as a total mixed ration. PLoS ONE 2018, 13, e0202446. [Google Scholar] [CrossRef] [PubMed]
  31. Makkar, H.P.S. Quantification of Tannins in Tree and Shrub Foliage; Springer: Dordrecht, The Netherlands, 2003. [Google Scholar]
  32. Singh, B.; Sahoo, A.; Sharma, R.; Bhat, T.K. Effect of polethylene glycol on gas production parameters and nitrogen disappearance of some tree forages. Anim. Feed Sci. Technol. 2005, 123–124, 351–364. [Google Scholar] [CrossRef]
  33. Nguyen, V.T.; Bowyer, M.C.; Van Vuong, Q.; Altena, I.A.V.; Scarlett, C.J. Phytochemicals and antioxidant capacity of Xao tam phan (Paramignya trimera) root as affected by various solvents and extraction methods. Ind. Crops Prod. 2015, 67, 192–200. [Google Scholar] [CrossRef]
  34. Skillman, L.C.; Toovey, A.F.; Williams, A.J.; Wright, A.D.G. Development and validation of a real-time PCR method to quantify rumen protozoa and examination of variability between Entodinium populations in sheep offered a hay-based diet. Appl. Environ. Microbiol. 2006, 72, 200–206. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Livak, K.J.; Schmittgen, T.D. Analysis of relative gene expression data using real-time quantitative PCR and the 2-ΔΔCT method. Methods 2001, 25, 402–408. [Google Scholar] [CrossRef] [PubMed]
  36. Denman, S.E.; McSweeney, C.S. Development of a real-time PCR assay for monitoring anaerobic fungal and cellulolytic bacterial populations within the rumen. FEMS Microbiol. Ecol. 2006, 58, 572–582. [Google Scholar] [CrossRef] [PubMed]
  37. Wang, R.F.; Cao, W.W.; Cerniglia, C.E. PCR detection of Ruminococcus spp. in human and animal faecal samples. Mol. Cell. Probes 1997, 11, 259–265. [Google Scholar] [CrossRef] [PubMed]
  38. Zhou, M.; Hernandez-Sanabria, E.; Le, L.G. Assessment of the microbial ecology of ruminal methanogens in cattle with different feed efficiencies. Appl. Environ. Microbiol. 2009, 75, 6524–6533. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  39. Husson, F.; Josse, J.; Le, S.; Maintainer, J.M. Multivariate exploratory data analysis and data mining. Cran 2020, 1, 1–130. [Google Scholar]
  40. Jafari, S.; Ebrahimi, M.; Goh, Y.M.; Rajion, M.A.; Jahromi, M.F.; Al-Jumaili, W.S. Manipulation of rumen fermentation and methane gas production by plant secondary metabolites (saponin, tannin and essential oil)—A review of ten-year studies. Ann. Anim. Sci. 2019, 19, 3–29. [Google Scholar] [CrossRef] [Green Version]
  41. Patra, A.K.; Saxena, J. Dietary phytochemicals as rumen modifiers: A review of the effects on microbial populations. Antonie van Leeuwenhoek 2009, 96, 363–375. [Google Scholar] [CrossRef]
  42. Jayanegara, A.; Wina, E.; Takahashi, J. Meta-analysis on methane mitigating properties of saponin-rich sources in the Rumen: Influence of addition levels and plant sources. Asian-Australasian J. Anim. Sci. 2014, 27, 1426–1435. [Google Scholar] [CrossRef] [PubMed]
  43. Santra, A.; Saikia, A.; Baruah, K.K. Scope of Rumen Manipulation Using Medicinal Plants To Mitigate Methane Production. J. Pharmacogn. 2012, 3, 115–120. [Google Scholar]
  44. Feng, Z.H.; Cao, Y.F.; Gao, Y.X.; Li, Q.F.; Li, J.G. Effect of gross saponin of Tribulus terrestris on ruminal fermentation and methane production in vitro. J. Anim. Vet. Adv. 2012, 11, 2121–2125. [Google Scholar] [CrossRef]
  45. Bergman, E.N. Energy contributions of volatile fatty acids from the gastrointestinal tract in various species. Physiol. Rev. 1990, 70, 567–590. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Wallace, R.J. Antimicrobial properties of plant secondary metabolites. Proc. Nutr. Soc. 2004, 63, 621–629. [Google Scholar] [CrossRef] [PubMed]
  47. Gu, R.; Rybalov, L.; Negrin, A.; Morcol, T.; Long, W.; Myers, A.K.; Isaac, G.; Yuk, J.; Kennelly, E.J.; Long, C. Metabolic Profiling of Different Parts of Acer truncatum from the Mongolian Plateau Using UPLC-QTOF-MS with Comparative Bioactivity Assays. J. Agric. Food Chem. 2019, 67, 1585–1597. [Google Scholar] [CrossRef] [PubMed]
  48. Sati, S.C.; Sati, N.; Sati, O.P. Bioactive constituents and medicinal importance of genus Alnus. Pharmacogn. Rev. 2011, 5, 174–183. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Yin, J.; Ahn, H.S.; Ha, S.Y.; Hwang, I.H.; Yoon, K.D.; Chin, Y.W.; Lee, M.W. Anti-skin ageing effects of phenolic compounds from Carpinus tschonoskii. Nat. Prod. Res. 2019, 33, 3317–3320. [Google Scholar] [CrossRef] [PubMed]
  50. Chae, J.W.; Kim, J.S.; Jo, B.S.; Kang, S.A.; Park, H.J.; Joo, S.H.; Chun, S.S.; Cho, Y.J. Biological activity of ethanol extracts from Amelanchier asiatica fruits. J. Appl. Biol. Chem. 2011, 54, 238–243. [Google Scholar] [CrossRef] [Green Version]
  51. Saklani, S.; Mishra, A.P.; Chandra, H.; Atanassova, M.S.; Stankovic, M.; Sati, B.; Shariati, M.A.; Nigam, M.; Khan, M.U.; Plygun, S.; et al. Comparative evaluation of polyphenol contents and antioxidant activities between ethanol extracts of vitex negundo and vitex trifolia L. Leaves by different methods. Plants 2017, 6, 45. [Google Scholar] [CrossRef] [Green Version]
  52. Nawrot-Hadzik, I.; Granica, S.; Domaradzki, K.; Pecio, Ł.; Matkowski, A. Isolation and Determination of Phenolic Glycosides and Anthraquinones from Rhizomes of Various Reynoutria Species. Planta Med. 2018, 84, 1118–1126. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Yang, K.; Wei, C.; Zhao, G.Y.; Xu, Z.W.; Lin, S.X. Effects of dietary supplementing tannic acid in the ration of beef cattle on rumen fermentation, methane emission, microbial flora and nutrient digestibility. J. Anim. Physiol. Anim. Nutr. 2017, 101, 302–310. [Google Scholar] [CrossRef] [PubMed]
  54. Hristov, A.N.; Ivan, M.; Neill, L.; McAllister, T.A. Evaluation of several potential bioactive agents for reducing protozoal activity in vitro. Anim. Feed Sci. Technol. 2003, 105, 163–184. [Google Scholar] [CrossRef]
  55. Pope, P.B.; Smith, W.; Denman, S.E.; Tringe, S.G.; Barry, K.; Hugenholtz, P.; McSweeney, C.S.; McHardy, A.C.; Morrison, M. Isolation of Succinivibrionaceae implicated in low methane emissions from Tammar wallabies. Science 2011, 333, 646–648. [Google Scholar] [CrossRef] [PubMed]
  56. McArt, S.H.; Spalinger, D.E.; Kennish, J.M.; Collins, W.B. A modified method for determining tannin-protein precipitation capacity using Accelerated Solvent Extraction (ASE) and microplate gel filtration. J. Chem. Ecol. 2006, 32, 1367–1377. [Google Scholar] [CrossRef] [PubMed]
  57. Selje, N.; Hoffmann, E.M.; Muetzel, S.; Ningrat, R.; Wallace, R.J.; Becker, K. Results of a screening programme to identify plants or plant extracts that inhibit ruminal protein degradation. Br. J. Nutr. 2007, 98, 45–53. [Google Scholar] [CrossRef] [Green Version]
  58. Getachew, G.; Pittroff, W.; Putnam, D.H.; Dandekar, A.; Goyal, S.; DePeters, E.J. The influence of addition of gallic acid, tannic acid, or quebracho tannins to alfalfa hay on in vitro rumen fermentation and microbial protein synthesis. Anim. Feed Sci. Technol. 2008, 140, 444–461. [Google Scholar] [CrossRef]
  59. Gulati, S.K.; Garg, M.R.; Scott, T.W. Rumen protected protein and fat produced from oilseeds and/or meals by formaldehyde treatment; their role in ruminant production and product quality: A review. Aust. J. Exp. Agric. 2005, 45, 1189–1203. [Google Scholar] [CrossRef]
  60. Aboagye, I.A.; Oba, M.; Koenig, K.M.; Zhao, G.Y.; Beauchemin, K.A. Use of gallic acid and hydrolyzable tannins to reduce methane emission and nitrogen excretion in beef cattle fed a diet containing alfalfa silage. J. Anim. Sci. 2019, 97, 2230–2244. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  61. Jayanegara, A.; Goel, G.; Makkar, H.P.S.; Becker, K. Divergence between purified hydrolysable and condensed tannin effects on methane emission, rumen fermentation and microbial population in vitro. Anim. Feed Sci. Technol. 2015, 209, 60–68. [Google Scholar] [CrossRef]
  62. Patra, A.K.; Saxena, J. The effect and mode of action of saponins on the microbial populations and fermentation in the rumen and ruminant production. Nutr. Res. Rev. 2009, 22, 204–219. [Google Scholar] [CrossRef]
  63. Newbold, C.J.; Lassalas, B.; Jouany, J.P. The importance of methanogens associated with ciliate protozoa in ruminal methane production in vitro. Lett. Appl. Microbiol. 1995, 21, 230–234. [Google Scholar] [CrossRef] [PubMed]
  64. Shi, W.; Moon, C.D.; Leahy, S.C.; Kang, D.; Froula, J.; Kittelmann, S.; Fan, C.; Deutsch, S.; Gagic, D.; Seedorf, H.; et al. Methane yield phenotypes linked to differential gene expression in the sheep rumen microbiome. Genome Res. 2014, 24, 1517–1525. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Abbott, D.W.; Aasen, I.M.; Beauchemin, K.A.; Grondahl, F.; Gruninger, R.; Hayes, M.; Huws, S.; Kenny, D.A.; Krizsan, S.J.; Kirwan, S.F.; et al. Seaweed and seaweed bioactives for mitigation of enteric methane: Challenges and opportunities. Animals 2020, 10, 2432. [Google Scholar] [CrossRef] [PubMed]
  66. Guo, Y.Q.; Liu, J.X.; Lu, Y.; Zhu, W.Y.; Denman, S.E.; McSweeney, C.S. Effect of tea saponin on methanogenesis, microbial community structure and expression of mcrA gene, in cultures of rumen micro-organisms. Lett. Appl. Microbiol. 2008, 47, 421–426. [Google Scholar] [CrossRef] [PubMed]
  67. Aboagye, I.A.; Beauchemin, K.A. Potential of molecular weight and structure of tannins to reduce methane emissions from ruminants: A review. Animals 2019, 9, 856. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  68. Van Nevel, C.J. Control of rumen methanogenesis. Environ. Monit. Assess. 1996, 42, 73–97. [Google Scholar] [CrossRef] [PubMed]
  69. Stewart, C.S.; Flint, H.J.; Bryant, M.P. The rumen bacteria. In The Rumen Microbial Ecosystem; Hobson, P.N., Stewart, C.S., Eds.; Springer: Dordrecht, The Netherlands, 1997; pp. 10–72. [Google Scholar] [CrossRef]
  70. Russell, J.B.; Houlihan, A.J. Ionophore resistance of ruminal bacteria and its potential impact on human health. FEMS Microbiol. Rev. 2003, 27, 65–74. [Google Scholar] [CrossRef]
  71. Shen, J.; Liu, Z.; Yu, Z.; Zhu, W. Monensin and nisin affect rumen fermentation and microbiota differently in vitro. Front. Microbiol. 2017, 8, 1111. [Google Scholar] [CrossRef] [PubMed]
  72. Jenkins, T.C.; Wallace, R.J.; Moate, P.J.; Mosley, E.E. Board-Invited Review: Recent advances in biohydrogenation of unsaturated fatty acids within the rumen microbial ecosystem. J. Anim. Sci. 2008, 86, 397–412. [Google Scholar] [CrossRef]
  73. Li, Z.; Deng, Q.; Liu, Y.; Yan, T.; Li, F.; Cao, Y.; Yao, J. Dynamics of methanogenesis, ruminal fermentation and fiber digestibility in ruminants following elimination of protozoa: A meta-analysis. J. Anim. Sci. Biotechnol. 2018, 9, 89. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Guyader, J.; Eugène, M.; Nozière, P.; Morgavi, D.P.; Doreau, M.; Martin, C. Influence of rumen protozoa on methane emission in ruminants: A meta-analysis approach. Animal 2014, 8, 1816–1825. [Google Scholar] [CrossRef] [PubMed]
  75. Goel, G.; Puniya, A.K.; Aguilar, C.N.; Singh, K. Interaction of gut microflora with tannins in feeds. Naturwissenschaften 2005, 92, 497–503. [Google Scholar] [CrossRef] [PubMed]
  76. Dohme, F.; Machmüller, A.; Wasserfallen, A.; Kreuzer, M. Ruminal methanogenesis as influenced by individual fatty acids supplemented to complete ruminant diets. Lett. Appl. Microbiol. 2008, 32, 47–51. [Google Scholar] [CrossRef]
  77. Shingfield, K.J.; Wallace, R.J. Synthesis of conjugated linoleic acid in ruminants and humans. RSC Catal. Ser. 2014, 1–65. [Google Scholar] [CrossRef]
  78. Kim, Y.S.; Kim, J.W.; Ha, N.Y.; Kim, J.; Ryu, H.S. Herbal Therapies in Functional Gastrointestinal Disorders: A Narrative Review and Clinical Implication. Front. Psychiatry 2020, 11, 601. [Google Scholar] [CrossRef] [PubMed]
  79. Newbold, C.J.; De la Fuente, G.; Belanche, A.; Ramos-Morales, E.; McEwan, N.R. The role of ciliate protozoa in the rumen. Front. Microbiol. 2015, 6, 1313. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Relative changes in total gas production and CH4 concentration in gas, respective to their controls, after 24-h in vitro incubation with plant extracts (replicate = 3). Control is considered as 1.
Figure 1. Relative changes in total gas production and CH4 concentration in gas, respective to their controls, after 24-h in vitro incubation with plant extracts (replicate = 3). Control is considered as 1.
Animals 11 01020 g001
Figure 2. Principal components analysis of CH4 production, microbial diversity, and fermentation parameters in control and tested plant extracts during cycle 1 (a) and cycle 2 (b). Percentages of variation explained by PC1 and PC2 are indicated on the respective axes. C- control; M-monensin; VI-Vitex negundo; AM-Amelanchier asiatica; RE-Reynoutria sachalinensis; TR-Tribulus terrestris; AL-Alnus japonica; PA-Pharbitis nil; AC-Acer truncatum; CA-Carpinus tschonoskii.
Figure 2. Principal components analysis of CH4 production, microbial diversity, and fermentation parameters in control and tested plant extracts during cycle 1 (a) and cycle 2 (b). Percentages of variation explained by PC1 and PC2 are indicated on the respective axes. C- control; M-monensin; VI-Vitex negundo; AM-Amelanchier asiatica; RE-Reynoutria sachalinensis; TR-Tribulus terrestris; AL-Alnus japonica; PA-Pharbitis nil; AC-Acer truncatum; CA-Carpinus tschonoskii.
Animals 11 01020 g002
Table 1. Scientific names, common names, and parts of plants screened in the in vitro assay.
Table 1. Scientific names, common names, and parts of plants screened in the in vitro assay.
Scientific NamesCommon NamesParts Used 1
Abelia mosanensis T.H.Chung ex NakaiSweet abelia Stem
Abeliophyllum distichum NakaiWhite forsythiaStem
Abies koreana E.H.WilsonKorean firLeaf
Abies koreana E.H.WilsonKorean firStem
Acanthopanax senticosus (Rupr. & Maxim.) HarmsSiberian ginsengLeaf, stem
Acer palmatum Thunb.Japanese mapleLeaf
Acer pictum subsp. mono(Maxim.) H. OhashiPainted mapleLeaf
Acer pseudo-sieboldianum var. koreanum NakaiKorean mapleLeaf, stem
Acer takesimense NakaiTakeshima Korean mapleLeaf, stem
Acer tataricum subsp. ginnala (Maxim.) WesmaelTatarian mapleStem
Acer tegmentosum Maxim.Manchurian striped bark mapleStem
Acer triflorum Kom.Three-flowered mapleStem
Acer truncatum BungeShangtung mapleStem
Acer tschonoskii var. rubripes Kom.Butterfly maple Stem
Aconitum carmichaeli DebeauxCarmichael’s monkshoodTuber [E]
Actinodaphne lancifolia (Sieb. & Zucc.) MeisnUnknownLeaf
Adonis amurensis Regel & RaddeAmur adonisAerial parts
Allium grayi RegelLong-stamen chiveAerial parts
Alnus japonica Siebold & Zucc.Japanese alderLeaf
Alnus maximowiczii Callier ex C.K.Schneid.Montane alderLeaf
Amelanchier asiatica (Sieb. & Zucc.) Endl. ex Walp.Korean juneberryStem
Amomum villosum Lour.Bastard cardamonFruit [E]
Ampelopsis japonica (Thunb.) MakinoPeppervine Tuber [E]
Angelica japonica A.GrayUnknownLeaf
Angelica japonica A.GrayUnknownStem, root
Aralia continentalis Kitag.Manchurian spikenardStem
Ardisia crenata Sims.Coral ardisiaLeaf
Ardisia japonica (Thunb.) BlumeMarlberryLeaf
Ardisia japonica (Thunb.) BlumeMarlberryStem
Areca catechu L.Betelnut palmPericarp [E]
Arisaema takesimense NakaiCobra lilyStem
Asarum sieboldii Miq.Wild gingerAerial parts
Atractylodes macrocephala Koidz.Bai ZhuRhizome [E]
Aucuba japonica Thunb.Spotted laurelLeaf
Callicarpa japonica var. leucocarpa SieboldJapanese beautyberryFruit
Calystegia soldanella(L.) R.Br.Sea bindweedAerial parts
Camellia japonica L.Japanese camelliaStem
Camellia japonica L.Japanese camelliaLeaf
Campanula takesimana NakaiKorean bellflowerAerial parts
Capsella bursa-pastoris(L.) Medik.Shepherd’s purseAerial parts
Cardamine amaraeformis NakaiBrewer’s bittercressAerial parts
Cardamine flexuosa WitheringWavy bittercressStem
Carpinus laxiflora (Siebold & Zucc.) BlumeHornbeamLeaf
Carpinus laxiflora (Siebold & Zucc.) BlumeHornbeamStem, bark
Carpinus tschonoskii Maxim.Silky hornbeamStem, bark
Castanopsis cuspidata var. sieboldii (Makino) NakaiJapanese chinquapinStem, heart wood
Celtis choseniana NakaiHackberryStem
Cephalotaxus koreana NakaiKorean plum yewLeaf
Chaenomeles lagenaria (Loisel.) Koidz.Flowering quinceStem
Cinnamomum camphora(L.) J.PreslCamphor laurelLeaf
Citrus dachibana (Makino) Tanaka. Tachibana orangeStem, bark
Cleyera japonica Thunb.SakakiLeaf
Cornus controversa Hemsl.Giant dogwoodStem
Corydalis incisa Pers.FumewortAerial parts
Corylus heterophylla var. thunbergii BlumeSiberian filbertLeaf, stem
Crataegus pinnatifida BungeMountain hawthornStem
Daphne genkwa Siebold & Zucc.Lilac DaphneStem, root
Dioscorea tokoro MakinoUnknownRhizome [E]
Dolichos lablab L.Hyacinth beanSeed [E]
Elaeagnus glabra Thunb.Goat nippleStem
Elaeagnus umbellate C.P.Thunb. ex A.MurrayAutumn oliveLeaf, stem
Equisetum arvense L.HorsetailAerial parts [E]
Erigeron annuus (L.) Pers.Annual fleabaneAerial parts
Eriobotrya japonica (Thunb.) Lindl.Japanese medlarLeaf
Euphorbia helioscopia L.Sun spurgeAerial parts
Euphorbia sieboldiana C.Morren & Decne.UnknownAerial parts
Eurya emarginata (Thunb.) MakinoShore euryaLeaf
Ficus erecta Thunb.Japanese figFruit
Ficus nipponica Franch. & Sav.Japanese figStem
Forsythia nakaii(Uyeki) T.B.LeeUnknownStem
Ginkgo biloba L.Common gingkoStem
Hedera rhombea(Miq.) Siebold ex BeanJapanese ivyLeaf
Hedera rhombea(Miq.) Siebold ex BeanJapanese ivyFruit
Hedera rhombea(Miq.) Siebold ex BeanJapanese ivyAerial parts
Hedera rhombea(Miq.) Siebold ex BeanJapanese ivyStem
Hepatica insularis NakaiUnknownAerial parts
Heracleum moellendorffii f. Subbipinnatum (Franch.) Kitag.Cow parsnipLeaf
Hydrangea serrata f. acuminate (Siebold & Zucc.) E.H.WilsonMountain hydrangeaStem
Hydrangea serrata f. acuminate (Siebold & Zucc.) E.H.WilsonMountain hydrangeaLeaf, stem
Ilex cornuta Lindl. & PaxtonChinese hollyLeaf
Ilex crenata var. microphylla Maxim.Japanese hollyStem
Illicium religiosum Siebold & Zucc.Japanese star aniseStem
Juniperus rigida Pav. ex CarrièreNeedle juniperLeaf
Juniperus rigida Pav. ex CarrièreNeedle juniperStem
Kirengeshoma koreana NakaiYellow waxbellsStem
Kirengeshoma koreana NakaiYellow waxbellsRoot
Koelreuteria paniculata Laxm.Golden raintreeStem
Lathyrus japonicas Willd.Beach peaAerial parts
Ligularia fischeri (Ledeb.) Turcz.Fischers ragwortAerial parts
Lindera erythrocarpa MakinoAsian spicebushStem
Lindera obtusiloba BlumeJapanese spicebushLeaf, stem
Litsea japonica Mirb.UnknownLeaf
Lonicera japonica Thunb.Chinese honeysuckleLeaf
Lonicera japonica Thunb.Chinese honeysuckleStem
Lonicera vesicaria Kom.Korean honeysuckleLeaf, stem
Lotus corniculatus var. japonicus RegelBird’s foot trefoilAerial parts
Luzula capitate (Miq. ex Franch. & Sav.) Kom.Sweep’s woodbrushAerial parts
Lycoris squamigera Maxim.Magic-lilyLeaf
Lycoris squamigera Maxim.Magic-lilyStem
Machilus japonica Siebold & Zucc.UnknownTwig
Meehania urticifolia (Miq.) MakinoJapanese dead nettleAerial parts
Megaleranthis saniculifolia OhwiUnknownAerial parts
Melia azedarach var. japonica (G.Don) Mak.Bead treeAerial parts
Morus bombycis Koidz.Korean mulberryLeaf
Orostachys iwarenge (Makino) HaraChinese Dunce capAerial parts
Osmanthus insularis Koidz.Holly oliveLeaf
Pharbitis nil (L.) ChoisyJapanese morning glorySeed [E]
Pinus parviflora Siebold & Zucc.Japanese white pineLeaf
Pinus thunbergii Parl.Japanese black pineLeaf
Pittosporum tobira (Murray) Aiton fil.Japanese mock orangeStem
Potentilla fruticosa L.Shrubby cinquefoilStem
Pourthiaea villosa (Thunb.) Decne.Oriental PhotiniaStem
Prunus sargentii RehderSargent’s cherryStem
Pyrus calleryana var. fauriei (C.K.Schneid.) RehderFauriei callery pearStem
Quercus acuta Siebold ex BlumeJapanese evergreen oakStem
Quercus aliena BlumeOriental white oakLeaf, stem
Quercus gilva BlumeRedbark oakLeaf
Quercus gilva BlumeRedbark oakStem, heart wood
Reynoutria sachalinensis (F.Schmidt) NakaiSakhalin knotweedFruit
Rhodotypos scandens (Thunb.) MakinoBlack jetbeadStem
Rhus trichocarpa Miq.Bristly-fruit lacquer treeStem
Rosa multiflora MurrayMany-flowered RoseLeaf, stem
Salix glandulosa SeemenKorean king WillowStem
Salix hulteni Flod.Hulten WillowStem
Sambucus sieboldiana var. pendula (Nakai) T.B.LeeJapanese red elderStem
Saussurea lappa(Decne.) C.B.Clarke, 1876Indian costusRoot [E]
Sinapis alba L.White mustardSeed [E]
Sorbus alnifolia (Sieb. & Zucc.) C.KochKorean mountain ashStem
Spiraea salicifolia L.BridewortStem
Spirodela polyrhiza (L.) Schleid.Common duckmeatAerial parts [E]
Staphylea bumalda DC.Bumalda bladdernutStem
Strychnos nux-vomica L.Nux-vomicaSeed [E]
Styrax obassia Siebold & Zucc.Fragrant snowbellStem
Taxus cuspidate Siebold & Zucc.Japanese yewStem
Thea sinensis L.Chinese teaLeaf
Torreya nucifera Siebold & Zucc.Japanese nutmeg treeStem
Trachelospermum asiaticum var. intermedium NakaiChinese jasmineLeaf
Trachelospermum jasminoides (Lindl.) Lem.Star jasmineStem, leaf [E]
Tribulus terrestris L.Puncture vineLeaf [E]
Tribulus terrestris L.Puncture vineSeed [E]
Triticum aestivum L.Common wheatSeed [E]
Tsuga sieboldii CarrièreJapanese hemlockLeaf
Vaccinium bracteatum Thunb.Sea bilberryLeaf
Viburnum awabuki Hort.Berol. ex C.KochSweet viburnumLeaf
Viburnum carlesii Hemsl. ex Forb. & Hemsl.Korean spice viburnumStem
Viburnum sargentii KoehneSargent viburnumStem
Vicia angustifolia var. segetalis (Thuill.) W.D.J.KochBlack-pod vetchAerial parts
Viola japonica Langsd. ex DC.Japanese violetAerial parts
Viola tokubuchiana var. takedana (Makino) Maek.UnknownAerial parts
Vitex negundo var. incisa (Lam.) C.B.ClarkeChinese chaste treeStem
Vitis coignetiae Pulliat ex Planch.Crimson gloryvineStem
Youngia denticulata (Houtt.) Kitam.UnknownAerial parts
1 Unless indicated otherwise, methanol (95%) was used for extraction. [E], ethanol (95%) used for extraction.
Table 2. Ingredients and chemical composition of substrate used in the in vitro screening and confirmation assays.
Table 2. Ingredients and chemical composition of substrate used in the in vitro screening and confirmation assays.
Ingredient Composition g/kg DM
Timothy hay46
Klein grass31
Oat hay31
Alfalfa hay73
Tall fescue grass69
Rye grass38
Cotton seed43
Beet pulp77
Corn gluten feed136
Dried brewers’ grains195
Commercial concentrate230
Vitamin-Mineral premix 123
Probiotics9
Chemical Compositiong/kg DM
Organic matter910
Crude protein143
Ether extract38
Neutral detergent fibre 2289
Acid detergent fibre 3143
Gross energy, MJ/kg DM17.7
1 Provided following nutrients per kg of mixture (Grobic-DC, Bayer Health Care, Leverkusen, Germany): Vit. A, 2,650,000 IU; Vit. D3, 530,000 IU; Vit. E, 1050 IU; Niacin, 10,000 mg; Mn, 4400 mg; Zn, 4400 mg; Fe, 13,200 mg; Cu, 2200 mg; I, 440 mg; Co, 440 mg. 2 Neutral detergent fibre assayed with a heat stable amylase and expressed exclusive of residual ash. 3 Acid detergent fibre expressed excluding residual ash
Table 3. Oligonucleotide primers used for real-time PCR assay.
Table 3. Oligonucleotide primers used for real-time PCR assay.
Target GroupPrimer SequenceTm (°C)Size (bp)Reference
Total bacteriaF: CGG CAA CGA GCG CAA CCC60.5130[36]
R: CCA TTG TAG CAC GTG TGT AGC C
Fibrobacter succinogenesF: GTT CGG AAT TAC TGG GCG TAA A 51.7120[36]
R: CGC CTG CCC CTG AAC TAT C
Ruminococcus albusF: CCC TAA AAG CAG TCT TAG TTC G47.0176[37]
R: CCT CCT TGC GGT TAG AAC A
Ruminococcus flavefaciensF: CGA ACG GAG ATA ATT TGA GTT TAC TTA GG 53.3132[36]
R: CGG TCT CTG TAT GTT ATG AGG TAT TAC C
Total methanogensF: CCGGAGATGGAACCTGAGAC52.6165[38]
R: CGGTCTTGCCCAGCTCTTATTC
Ciliate protozoa F: GAG CTA ATA CAT GCT AAG GC 46.2180[34]
R: CCC TCA CTA CAA TCG AGA TTT AAG G
Table 4. Effects of selected plant extracts from cycle 1 on CH4 production, rumen fermentation parameters, and microbial abundance after 24-h in vitro incubation (replicate = 4)
Table 4. Effects of selected plant extracts from cycle 1 on CH4 production, rumen fermentation parameters, and microbial abundance after 24-h in vitro incubation (replicate = 4)
ItemControlMonensinVitex negundoAmelanchier asiaticaReynoutria sachalinensisSEMp-Value
pH6.0 b6.4 a6.4 a6.4 a6.4a 0.04<0.001
Gas, mmol/g DM substrate11.29.310.0110.39.90.490.158
CH4, mmol/g DM substrate1.5 a1.1 b1.3 b1.2 b1.2 b0.070.018
CH4, mmol/mol gas134.1 a121.3 b124.6 b119.9 b121.9 b1.940.001
Total VFAs, mM166.0 a126.8 b127.6 b127.1 b127.7 b6.830.003
Acetate (C2), %57.357.558.458.358.41.740.987
Propionate (C3), %24.825.825.025.125.01.100.999
Isobutyrate, %1.01.01.01.01.00.030.980
Butyrate, %12.211.111.211.311.21.200.965
Isovalerate, %2.82.82.62.62.60.270.967
Valerate, %2.01.91.91.81.80.230.981
C2/C32.32.22.32.32.30.090.933
NH3-N, mg/dL28.5 a20.9 b19.9 b19.7 b19.4 b2.000.027
Expression fold change
R. flavefaciens1.0 d6.8 a3.6 c2.7c5.2 b0.53<0.001
R. albus1.0 d5.4 c2.4 d6.0 cb12.7 a1.17<0.001
F. succinogenes1.0 c0.9 cd2.4 a2.3 ab1.0 cd0.21<0.001
Total methanogens1.0 a0.4 b0.3 c0.1 d0.3 c0.02<0.001
Ciliate protozoa1.0 b0.3 d0.7 c1.3 a0.3 d0.13<0.001
Means with different superscripts differ significantly p < 0.05.
Table 5. Effects of selected plant extracts from cycle 2 on CH4 production, rumen fermentation parameters, and microbial abundance after 24-h in vitro incubation (replicate = 4)
Table 5. Effects of selected plant extracts from cycle 2 on CH4 production, rumen fermentation parameters, and microbial abundance after 24-h in vitro incubation (replicate = 4)
ItemControlMonensinTribulus terrestrisPharbitis nilAlnus japonicaAcer truncatumCarpinus tschonoskiiSEMp-Value
pH6.1 b6.5 a6.4 b6.4 b6.4 b6.4 b6.4 b0.050.001
Gas, mmol/g DM substrate12.7 a10.4 b10.6 b9.4 b10.5 b10.8 b10.6 b0.580.027
CH4, mmol/g DM substrate1.8 a1.3 b1.4 b1.2 b1.4 b1.4 b1.4 b0.130.038
CH4, mmol/mol gas144.8 a127.3 b131.6 b122.9 b128.7 b130.7 b130.6 b2.930.037
Total VFAs, mM175.2 a132.2 b134.5 b133.1 b132.2 b130.7 b133.7 b9.840.044
Acetate (C2), %55.354.456.353.056.456.456.53.470.988
Propionate (C3), %21.1 a23.3 b21.8 ab27.1 b21.9 ab21.8 ab21.8 ab1.260.047
Isobutyrate, %1.41.41.31.11.31.31.30.110.646
Butyrate, %15.914.714.813.714.814.714.81.390.967
Isovalerate, %3.63.73.43.23.33.33.30.310.913
Valerate, %2.7 a2.6 abef2.5 abcef1.8 d2.4 e2.4 ef2.4 bcefg0.05<0.001
C2/C32.62.42.62.02.62.62.60.170.097
NH3-N, mg/dL42.9 a34.2 b33.4 b32.2 b30.8 b29.9 b28.4 b2.200.003
Expression fold change
R. flavefaciens1.0 g3.3 e4.9 d0.5f6.25 c7.5 b10.2 ag0.76<0.001
R. albus1.0 g3.7 dfg4.7 bcdefg4.1 bcdefg13.02 a2.1 fg2.7 defg0.94<0.001
F. succinogenes1.0 a0.1 f0.3 e0.1 g0.50 cd0.7 b0.4 d0.06<0.001
Total methanogens1.0 e4.4 a0.9 efg3.4 b0.96 def1.3 def1.5 cd0.32<0.001
Ciliate protozoa1.0 c 0.1 d16.9 a0.1 d12.2 b2.8 cd6.1 c1.56<0.001
Means with different superscripts differ significantly p < 0.05.
Table 6. Contents of phenolic fractions and total saponins in extracts (mg/g crude extract; analytical replicate = 3).
Table 6. Contents of phenolic fractions and total saponins in extracts (mg/g crude extract; analytical replicate = 3).
Plant SpeciesTotal PhenolsNon-Tannin PhenolsTotal TanninsCondensed TanninsHydrolysable TanninsTotal Saponins
Vitex negundo93.82.791.110.081.1216.0
Amelanchier asiatica297.59.9287.648.4239.2250.6
Reynoutria sachalinensis213.04.6208.419.3189.0243.3
Tribulus terrestris11.90.411.511.5115.8
Pharbitis nil2.40.12.42.470.5
Alnus japonica257.92.9255.04.9250.1165.2
Acer truncatum267.58.6258.943.2215.7242.8
Carpinus tschonoskii291.56.1285.40.9284.6141.5
Table 7. Correlation coefficients between plant secondary metabolites, fermentation parameters, and microbial abundances (extract = 8).
Table 7. Correlation coefficients between plant secondary metabolites, fermentation parameters, and microbial abundances (extract = 8).
Ciliate ProtozoaTotal MethanogensF. succinogenesR. flavefaciensTotal SaponinsTotal TanninsC3 (%)C2 (%)Total VFAs (mM)CH4
(mmol/g DM)
Total Gas (mmol/g DM)
pH0.430.40−0.59 0.28−0.35−0.04−0.43−0.67 *0.59 0.67 *0.51
Total gas (mmol/g DM)0.64 *0.18−0.070.57 *0.000.36−0.71 *−0.290.140.57 *
CH4 (mmol/g DM)0.500.33−0.360.43−0.53 −0.07−0.57 *−0.430.57 *
Total VFAs (mM)0.360.55†−0.79 *0.29−0.71 *−0.21−0.43−0.43
C2 (%)−0.36−0.470.64 *0.140.57 *0.360.00
C3 (%)−0.51 −0.400.21−0.86 *0.14−0.36
Total tannins 0.14−0.110.290.50 0.50
Total saponins −0.21−0.62 *0.790.00
R. flavefaciens0.360.40−0.07
F. succinogenes−0.29−0.62 *
Total methanogens−0.04
* p < 0.05; p < 0.1.
Table 8. Bioactive compounds in ethanolic extracts from seeds of Pharbitis nil identified using GC-MS.
Table 8. Bioactive compounds in ethanolic extracts from seeds of Pharbitis nil identified using GC-MS.
RT (min)CompoundFormulaMW (g/mol)ClassArea (%)
7.29Ethanone, 1-(2-hydroxy-5-methylphenyl)-C9H10O150.2Alkyl-phenylketone6.2
8.49(3-Nitrophenyl) methanol, n-propyl etherC10H13NO3195.2Aromatic ether11.9
12.23Benzenepropanoic acid,3,5-bis(1,1-dimethylethyl)-4-hydroxy-, methyl esterC18H28O3292.4Alkyl ester6.6
12.31l-(+)-Ascorbic acid 2,6-dihexadecanoateC38H68O8652.9Fatty acid ester6.1
13.449,12-Octadecadienoic acid (Z,Z)-C18H32O2280.4PUFA 123.5
14.697,10-Hexadecadienoic acid, DMOX derivativeC16H28O2252.4LCFA 29.8
15.139-Octadecenamide, (Z)-C18H35NO281.5Fatty amide5.5
16.632,3-Dihydroxypropyl hexadecanoateC19H38O4330.5Monoacylglycerol6.7
19.219,12-Octadecadienoic acid (Z,Z)-,2,3-dihydroxypropyl esterC21H38O4356.5Fatty amide18.5
20.2013-Docosenamide, (Z)-C22H43NO337.6Fatty amide2.3
24.21ç-SitosterolC29H50O414.0Stigmastane2.9
1 Polyunsaturated fatty acid; 2 Long chain fatty acid; MW molecular weight.
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Bharanidharan, R.; Arokiyaraj, S.; Baik, M.; Ibidhi, R.; Lee, S.J.; Lee, Y.; Nam, I.S.; Kim, K.H. In Vitro Screening of East Asian Plant Extracts for Potential Use in Reducing Ruminal Methane Production. Animals 2021, 11, 1020. https://doi.org/10.3390/ani11041020

AMA Style

Bharanidharan R, Arokiyaraj S, Baik M, Ibidhi R, Lee SJ, Lee Y, Nam IS, Kim KH. In Vitro Screening of East Asian Plant Extracts for Potential Use in Reducing Ruminal Methane Production. Animals. 2021; 11(4):1020. https://doi.org/10.3390/ani11041020

Chicago/Turabian Style

Bharanidharan, Rajaraman, Selvaraj Arokiyaraj, Myunggi Baik, Ridha Ibidhi, Shin Ja Lee, Yookyung Lee, In Sik Nam, and Kyoung Hoon Kim. 2021. "In Vitro Screening of East Asian Plant Extracts for Potential Use in Reducing Ruminal Methane Production" Animals 11, no. 4: 1020. https://doi.org/10.3390/ani11041020

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