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Influence of previous plane of nutrition on molecular mechanisms regulating the expression of urea and water metabolism related genes in the rumen and kidney of finishing crossbred Angus steers
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Aghata E. Moreira da Silvaa, Arturo Macias Francoa, Bradley S. Fergusona, Mozart A. Fonsecaa, b, 1, *
Animal Nutrition | 2024, 17(1) : 232 - 243
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Animal Nutrition | 2024, 17(1): 232-243
Original Research Article
Influence of previous plane of nutrition on molecular mechanisms regulating the expression of urea and water metabolism related genes in the rumen and kidney of finishing crossbred Angus steers
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Aghata E. Moreira da Silvaa, Arturo Macias Francoa, Bradley S. Fergusona, Mozart A. Fonsecaa, b, 1, *
Affiliations
  • aCollege of Agriculture, Biotechnology & Natural Resources, University of Nevada, Reno, Reno, NV 89503, USA
  • bDepartment of Animal and Range Sciences, Clayton Livestock Research Center, New Mexico State University, Clayton, NM 88415, USA
doi: 10.1016/j.aninu.2023.12.011
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This study aimed to understand how molecular mechanisms controlling water and urea metabolism at the finishing phase can be affected by previous plane of nutrition of crossbred Angus beef steers. Twenty-four (n = 24) animals were randomly distributed into either a moderate (MP) or high plane of nutrition during the background phase for 85 d. Animals were then blocked by their previous plane and were moved onto a 105-d finishing phase in a 2 × 2 factorial arrangement. The forage-finished group received only high-quality alfalfa hay, whereas the grain-fed group received a high grain diet (80% whole corn and 20% alfalfa hay). By the end of the finishing phase, animals were harvested and tissue samples from the rumen and kidney were collected. Changes in gene expression of aquaporins (AQP)-2, -3, -4, -7, ATP1A1, ATP1B1, SGK1, CLIC1 (kidney and rumen), UT-A1 (kidney only) and UT-B (rumen only), were assayed via real-time qPCR; 18S rRNA was used as an endogenous control. One-way ANOVA followed by Tukey's post hoc analysis was conducted. When animals were from MP, forage-finishing increased the relative abundance of AQP3 (P ≤ 0.05), AQP7 (P ≤ 0.05), ATP1B1 (P ≤ 0.05), and SGK1 (P ≤ 0.05) in the kidney when compared to grain-fed animals. In the rumen, for the MP group, AQP7 was differentially expressed in both treatments at the finishing phase (P ≤ 0.01), with forage-finished steers having the highest expression of AQP7. For the MP group, UT-B had a tendency of presenting a higher expression on grain-fed animals (P = 0.075). Overall, these results suggest that previous plane can impact expression of genes associated with water and urea metabolism during the finishing phase, namely AQP3, AQP7, ATP1B1, and SGK1 in the kidney, and AQP7 and UT-B in the rumen. The greatest impact observed on gene expression changes of investigated genes at the finishing phase was reflective of animals backgrounded on the moderate previous plane.

Gene expression  /  Aquaporin  /  Sodium channel  /  Urea transporter
Aghata E. Moreira da Silva, Arturo Macias Franco, Bradley S. Ferguson, Mozart A. Fonseca. Influence of previous plane of nutrition on molecular mechanisms regulating the expression of urea and water metabolism related genes in the rumen and kidney of finishing crossbred Angus steers[J]. Animal Nutrition, 2024 , 17 (1) : 232 -243 . DOI: 10.1016/j.aninu.2023.12.011
Stocker/backgrounding production occurs year-round in various forage systems, which inherently vary widely in both quality and availability throughout the year (Brown, 1985). Therefore, there are very few locations where stocker grazing systems are available and offer high-quality forage year-round. Once animals transition into the finishing phase, they are mainly fed a high-energy diet composed mainly of grains that have a high environmental footprint (i.e. water) (Mekonnen and Hoekstra, 2011). Due to the increasing concern over the environmental impacts of conventional beef, grass/forage-fed beef is often perceived by consumers as a more sustainable alternative (Xue et al., 2010) for the cattle industry. Klopatek et al. (2022), has shown that grass-fed beef had a 150% greater water footprint than grain-fed animals, indicating a great influence of diet on water metabolism of those animals.
In cattle, water contained in the intracellular space constitutes, on average, two-thirds of total body water pool, whereas the remaining one-third consists of water surrounding the cells and connective tissue, water in the blood plasma and the gastrointestinal tract (Woodford et al., 1984). Once consumed, the rumen serves as a giant water reservoir that could be utilized when water is scarce (Shkolnik et al., 1980). Synchronously, the regulation of extracellular fluid volume and composition is controlled by the kidney (Choshniak et al., 1984).
At the cellular level, the maintenance of the correct molality of fluids and proper distribution of water within body compartments will depend upon the environment, where cells will adapt to changes by altering their patterns of gene transcription and protein modification as well as their cytoskeletal structure (Bell et al., 2000). Some of the most important water-related cell components that will be prone to modification upon hydric stress are the aquaporins (AQP), a specialized group of water channels that allow the passage of water and other small molecules (Michalek, 2016) to and from the cytosol. Water transport also affects the balance of water in the body, being driven by the creation of an osmotic gradient across an epithelium through active ion/solute transport (Verkman, 2008). Therefore, other cellular components related to solute transport are also important and involved in the balance of body water, such as Na+/K+-ATPase, sodium channels, and chloride channels. All those channels are regulated by several genes including ATPase Na+/K+ transporting subunit alpha 1 (ATP1A1) and beta 1 (ATP1B1), serum/glucocorticoid regulated kinase 1 (SGK1), and chloride intracellular channel 1 (CLIC1), which are related to the ability of the cell to sense and appropriately respond to environmental changes in osmotic balance through an integrated network of intracellular signaling pathways (Bell et al., 2000). In ruminants, another factor that plays a role in osmotic balance is the level of urea in the blood due to their ability of recycling dietetic nitrogen as urea (Lapierre and Lobley, 2001). High levels of blood urea, which is associated with high protein diets, need to be excreted in the urine, which will require proper regulation of ion/solute transport to avoid excessive loss of water through the urine (Bankir et al., 1996).
Altogether, taking in consideration the molecular mechanisms that might regulate water pool in the body and how dietary adaptations may change its control, we hypothesize that previous plane of nutrition could modulate expression of water and nitrogen related genes later in their life cycle, at the finishing phase. Therefore, the objective of this study is to understand how the previous plane of nutrition can affect the expression of water and urea metabolism related genes in the kidney and rumen of cattle backgrounded in a moderate or a high plane of nutrition, and subsequently finished in a grain- or forage-based system.
All experimental and animal husbandry procedures conducted were approved by the Institutional Animal Care and Use Committee of the University of Nevada, Reno, NV (protocol #00845) and complied with the ARRIVE guidelines.
Twenty-four crossbred Angus steers (298.01 ± 10.17 kg) were housed in the research feedlot area of the Main Station Field Laboratory at the University of Nevada, Reno. The experimental trial lasted 220 d, consisting of two phases: backgrounding and finishing phase. During the backgrounding phase (85 d), animals were randomly assigned to one of the two treatments (n = 12 per treatment; Table 1): moderate plane of nutrition (MP) or high plane of nutrition (HP). By the end of the background phase, steers were restrictly randomized by previous plane of nutrition (MP or HP) and transitioned to the finishing phase (50% of animals of each backgrounding group were randomly reallocated in each finishing treatment resulting on an equal number of steers for each combination of previous plane of nutrition and finishing diets). The finishing phase included a 30-d adaptation period and a 105-d finishing period. The finishing period consisted of either alfalfa hay only (forage-fed, n = 12) or predominantly whole corn (grain-fed, n = 12) (Table 2). Therefore, we had a factorial composed of four treatments: MP + grain-fed (animals from MP and finished on grains), MP + forage-fed (animals from MP and finished on forages), HP + grain-fed (animals from HP and finished on grains), HP + forage-fed (animals from HP and finished on forages) following recommendations of biological replicates provided by Schurch et al. (2016). All animals were individually fed, and had free access to feed and water, and a balanced mineral mix throughout the experimental period. Water and feed intakes were measured daily.
Feed samples were collected weekly for bromatological analysis. Feedstuffs were composited into one representative sample for each experimental phase, and a 200-g subsample was shipped to Cumberland Valley Analytical Services (CVAS; Waynesboro, PA). The samples were analyzed for the chemical composition of dry matter (method # 930.15; AOAC, 2000), crude protein (CP; method # 990.03; AOAC, 2000), soluble protein (Krishnamoorthy et al., 1982), rumen degradable protein (Krishnamoorthy et al., 1983), acid detergent fiber (method # 973.18; AOAC, 2000), acid detergent insoluble CP using acid detergent fiber residue in a Leco FP-528 nitrogen combustion analyzer (Leco Corporation, St. Joseph, MO), neutral detergent fiber (Van Soest et al., 1991) corrected for protein (Leco Corporation, St. Joseph, MO) and ash (method # 942.05; AOAC, 2000), lignin (Goering and Van Soest, 1970), sugar (Dubois et al., 1956), starch (Hall, 2009), ash (method # 942.05; AOAC, 2000) and a complete mineral panel (method # 985.01; AOAC, 2000) in an inductively couple plasma spectrometers (PerkinElmer 5300 DV ICP, PerkinElmer, Shelton, CT). Values for total digestible nutrients and net energy were obtained by empirical equations (Weiss, 1998).
By the end of the finishing phase, all steers were transported to a USDA-inspected commercial abattoir (CS Beef Packers, Kuna, Idaho, UT), where all the animals were harvested. Steers were stunned and exsanguinated immediately. Kidney and ventral sacs' rumen wall tissue samples were collected from each steer immediately upon evisceration (within 10 min from slaughter). Collected samples were placed in a 2-mL cryotube and flash frozen in liquid nitrogen. Samples were then transferred to a −80 °C freezer for storage and subsequent RNA extraction and analysis.
Total RNA was extracted from kidney and rumen samples using TRIzol reagent (Invitrogen, Carlsbad, CA). RNA samples were diluted to 100 ng/μL (500 ng) and then converted to complementary DNA (cDNA) using the Verso cDNA Synthesis Kit (Thermo-Fisher Scientific, Waltham, MA). Gene expression was examined via quantitative real-time polymerase chain reaction (qPCR) using Apex qPCR Master Mix (Genesee Scientific Corp., San Diego, CA; 42-120) and samples read on a BioRad CF96X qPCR instrument (Bio-Rad Laboratories, Hercules, California). Primers were purchased from IDT (Coralville, IA) (Table 3). Target genes (Table 4) included: aquaporin-2 (AQP2), -3 (AQP3), -4 (AQP4), and -7 (AQP7), ATP1A1 and ATP1B1, SGK1, CLIC1, solute carrier family 14 member 2 (kidney only; SLC14A2; codes for urea transporter A1 [UT-A1]) and solute carrier family 14 member 1 (rumen only; SLC14A1; codes for urea transporter B [UT-B]). The PCR amplification protocol consisted of enzyme activation at 95 °C for 20 s, followed by 40 cycles of denaturation at 95 °C for 3 s combined with annealing/extension at 60 °C for 30 s. Expression levels of target genes were normalized to 18S ribosomal RNA (18S), which was validated as a suitable reference gene under these experimental conditions. The 2−ΔΔCT method was used to determine relative abundance of mRNA (Livak and Schmittgen, 2001; Ferguson et al., 2010) and expressed as fold change relative to HP + grain-fed treatment when both previous planes were considered or MP + grain-fed when only MP was considered.
When comparing the four treatment groups, two-way ANOVA followed by multi comparison mean separation through Bonferroni tests. When only MP animals were compared, differences were analyzed through Student's t-test. Statistical significance was declared at P ≤ 0.05, whereas statistical tendency was declared at 0.05 < P ≤ 0.10. Identification of outliers was performed by plotting the studentized residuals against the predicted values as well as by Cook's D. Observations with studentized residuals exceeding a coefficient of 2.5 were considered outliers and removed from the data (Neter et al., 2004). In total, 3 observations were removed from AQP7 (HP + grain-fed, MP + forage-fed, and MP + grain-fed), 1 from AQP3 (MP + forage-fed), and 1 from AQP4 (MP + grain-fed) for kidney samples, while 1 observation for AQP2 (HP + forage-fed), 2 observations for AQP4 (MP + forage-fed and HP + forage-fed), and 1 observation for ATP1A1 (HP + grain-fed) were removed for rumen samples. Linear model assumptions were examined on the residuals. GraphPad Prism software (GraphPad InStat Software, San Diego, CA) was used to analyze data and produce graphs.
Data were analyzed as a linear mixed model under a 2 × 2 factorial arrangement following a completely randomized design following the statistical model:
where Yij is the dependent variable for the ith finishing diet, and jth previous plane of nutrition, μ is the mean, Ti is the fixed effect of finishing diet ith, Pj is the fixed effect associated with the jth previous plane of nutrition, TPij is the fixed interaction associated with the interaction between finishing diet ith and previous plane jth, random intercepts and slopes for animal within treatments was used as random effects for the models, eij is the random error associated with ijth data value assuming that eij are independently identically N(0, σ2). Initial body weight was tested as a covariate and was later removed due to a lack of statistical significance.
No differences were observed on the final body weight and average daily gain among treatments (Table 5). Steers backgrounded on MP and finished on a forage diet had the greatest dry matter intake among treatments (P < 0.01), whereas water intake was higher for forage-fed animals (P < 0.01; Table 5).
The mRNA expression of AQP2, AQP3, AQP4, and AQP7 in the rumen and kidney are presented in Figs. 1 and 2. Previous plane of nutrition had no effect on AQP expressed in the kidney at the finishing phase (Fig. 1A). However, in the rumen (Fig. 1B), animals from the MP + forage-fed diet had a higher expression of AQP7 than HP + forage-fed (P ≤ 0.05), HP + grain-fed (P ≤ 0.01) and MP + grain-fed (P ≤ 0.01). Next, since most of the differences were observed only on animals from MP, we further analyzed differences on relative mRNA abundance from MP animals only. Interestingly, in the kidneys, the expression of AQP3 and AQP7 were both higher for forage-fed animals when compared to the grain-fed animals (P = 0.029, P = 0.026, respectively; Fig. 2A), whereas for the rumen, the only differences found were still for AQP7, which was still higher for the forage-fed animals (P ≤ 0.01; Fig. 2B).
As shown in Fig. 3A, relative abundance of Na+/K+ ATPase subunits were only different for ATP1B1 in the kidney for animals backgrounded in a MP. For MP + forage-fed animals, ATP1B1 had a higher expression (P = 0.029) when compared to the MP + grain-fed animals. The same behavior can also be observed in Fig. 4A. However, no differences were observed in the rumen for ATP1A1 and ATP1B1 (P > 0.05; Figs. 3B and 4B).
No differences were observed for kidney or rumen (P > 0.05; Fig. 5). However, the expression of SGK1 in the kidney was higher (Fig. 6) for MP + forage-fed animals than MP + grain-fed animals (P = 0.041; Fig. 6A). No differences were observed in the gene expression of osmotic balance related genes in the rumen of the animals (Figs. 5B and 6B).
Differences in UT-B were observed only for animals backgrounded in a MP (Fig. 7B). Animals that were MP + grain-fed tended to have a higher gene expression of UT-B (P = 0.075) in the rumen compared to MP + forage-fed animals. No statistical differences were observed among treatments for UT-A1 (Fig. 8A and B).
With the increasing concern on water scarcity worldwide, understanding the factors that regulating the water in cattle is crucial. Although the effect of previous plane of nutrition on gene expression has been widely investigated on lactation, reproduction and growth traits (Loor et al., 2006; Gutierrez et al., 2014; Chen et al., 2015), this is the first paper to investigate how the previous plane of nutrition of finishing cattle could further affect water and nitrogen metabolism at the gene level. Modifications in gene expression are the first step towards answering what happens at the animal level and could allow further understanding on how we could mitigate water use on beef cattle systems.
Among the factors that can affect water intake, dry matter intake is one of the most cited, where a positive relationship is usually observed (Meyer et al., 2004; Kume et al., 2010). The observed decrease in feed and water intake for grain-fed animals could be in response to the higher energy concentration in the diet which might have constrained intake due to chemostatic mechanisms (Dulphy and Demarquilly, 1994; Montgomery and Baumgardt, 1965).
One of the main proteins required in the process of regulating water balance and proper acid-base balance are the AQPs (Michalek, 2016). The model of finishing diets that we utilized in this study were inherently different in protein levels (10.8% vs. 21.3% for grain-fed and forage-finished, respectively). Previous studies have shown increased water intake when animals were fed diets with increased protein levels (Ritzman and Benedict, 1924; Holter and Urban Jr, 1992); however, no differences were found in mRNA fold change expression of AQP in the kidney of those animals. These results suggest that the differences in dietary protein levels at the finishing diet, independent of the previous nutrition plane, did not affect the capacity of the kidney in concentrating the urine and excreting excess of solutes without losing massive amounts of water.
On the other hand, when we analyzed animals that were backgrounded as most animals are (MP), we observed a higher mRNA expression of AQP3 and AQP7 in the kidney at the finishing phase when animals were forage-fed, namely representing an overload of CP intake that would exceed recommended requirements (NASEM, 2016). Once ingested, protein is degraded by ruminal bacteria into ammonia (Abdoun et al., 2007). This ammonia will be absorbed through the rumen wall and go to the liver, where it will be metabolized into urea and either recycled back to the rumen or transported to the kidneys (Lapierre and Lobley, 2001). When levels of dietary CP are below animal's requirements, it creates a need for the reabsorption of urea arriving in the kidneys, which would then decrease its urinary excretion and increase its recycling back to the rumen (Marini et al., 2004). Conversely, as dietary protein levels increase, urinary excretion of urea also increases (Huhtanen et al., 2008). In the kidneys, reabsorption of urea can also be done through aquaglyceroporins (AQGP), which are AQPs that are not only permeable to water, but also to glycerol, ammonia, as well as urea (Rojek et al., 2008). Aquaporin-3 and -7 are both considered AQGP. Thus, the observed increase in their expression in the kidneys of animals backgrounded on MP and subsequently finished on forage-based diet, indicates that after a period of reduced CP supply, a subsequent CP overload could increase the reabsorption of urea, even if those animals were no longer suffering from a dietary CP limitation. Reabsorbed urea would be expected to go back to the rumen. In the rumen, bacterial urease hydrolyzes urea into ammonia, which can be excreted in the feces or, once more, absorbed by the rumen wall and subsequently metabolized into urea in the liver (Lapierre and Lobley, 2001). However, this process of producing urea repeatedly can be a major energy consuming event (McBride and Kelly, 1990), each mole of urea produced in the liver has an energetic cost of 4 moles of ATP. Furthermore, Huntington and Archibeque (2000) estimated that 2.5% to 5% of whole-body oxygen consumption was attributable to ureagenesis in the liver. Similarly, Jennings et al. (2018) noted that animals fed high protein diets increased their energy requirements by 3% to 4.5%. Therefore, energy available for tissue deposition would be expected to decrease for MP + forage-fed animals when compared to MP + grain-fed animals.
From a water balance perspective, AQP3-deficient mice were shown to be severely polyuric, demonstrating that basolateral membrane water transport can also be a rate-limiting factor for water reabsorption (Ma et al., 2000). However, AQP7-null mice appeared to lack clear defects in urinary concentration abilities or in the regulation of water balance abilities (Sohara et al., 2005), indicating that AQP7 might have a bigger role on absorption of solutes (such as glycerol, ammonia, and urea) rather than just water. Therefore, when compared to MP + grain-fed animals, Ma et al. (2000) and Sohara et al. (2005) suggest that the overload of protein observed at finishing from MP + forage-fed animals leads to an increase in filtration of water by the kidneys, mainly due to AQP3.
Røjen et al. (2011) investigated the mRNA expression of AQP in the rumen and observed that mRNA abundances of AQP3, AQP7, and AQP10 were significantly upregulated when lactating Holstein cows were fed 17% CP compared to cows fed 12.9% CP. Our results indicate that animals on MP + forage-fed diets had the highest expression of AQP7 in the rumen when compared to HP + forage-fed, HP + grain-fed and MP + grain-fed animals, but no differences were observed for AQP3. Although there is still limited information regarding the function and location of AQP7 within the rumen epithelium, its location in the brush border cells of the intestine make up for a higher expression at the apical side of brush border membranes (Tritto et al., 2007). Ultimately, these data indicate that AQP7 could act in transporting excessive ammonia from the rumen to the bloodstream.
Despite large variations of feed and water intake, body fluid homeostasis can be maintained mostly due to reabsorption and secretion processes that happens on the kidney tubules (Summa et al., 2001; Feraille and Dizin, 2016). In the kidney, reabsorbed solutes first cross the apical membrane and are then extruded from intracellular medium to the interstitium, whereas secreted solutes are taken from the interstitium across the basolateral membrane and are then extruded into the lumen after crossing the apical membrane (Feraille and Dizin, 2016). Both processes preserve the balance between the intake and loss of water and ions and can be energized by the Na+ gradient generated by the Na+/K+-ATPase, a Na+/K+ pump required for the establishment of electrochemical gradients driving cellular transport and substrate flow across epithelia (Zouzoulas et al., 2005; Feraille and Dizin, 2016). The Na+/K+-ATPase comprises two subunits, a large catalytic α subunit (coded by the gene ATP1A1) and a smaller highly glycosylated β subunit (coded by the gene ATP1B1) necessary for the proper folding, insertion, and maturation of the α subunit in the plasma membrane (Zouzoulas and Blostein, 2006). ATP1A1 and ATP1B1, are two distinct, differentially regulated genes, where expression of α1 subunit is usually present in excess when compared to β1 subunits, which might limit the formation of the αβ heterodimer that will compose the Na+/K+-ATPase (Taub, 2018). Interestingly, in this current study, only ATP1B1 was higher for the MP + forage-fed animals. This might be related to an overload of urea in the blood caused by the higher content of CP in the finishing diet, which might have increased only ATP1B1 since it is the limiting subunit for the formation of Na+/K+-ATPase. In ruminants, excessive dietary protein is degraded into ammonia in the rumen and metabolized to urea in the liver (Lu et al., 2014). Excess of blood urea needs to be excreted through urine to avoid toxicity; however, when protein intake is higher than the requirements, in attempting to avoid massive water loss, a huge amount of plasma needs to be filtered. Such filtration is driven by the sodium chloride gradient in the kidneys that would allow for water to be conserved (Knepper and Roch-Ramel, 1987; Bankir et al., 1996). In rats, Bouby and Bankir (1988) observed that diets with higher concentration of protein increased Na+/K+-ATPase activity enabling an enhanced NaCl transport pipeline. We did not observe differences among the animals that were backgrounded in a HP of nutrition, which might suggest that adequate levels of protein during the background phase will decrease the effect of an overload of protein in the subsequent phases.
Although the rumen epithelium has a high expression of ATP1A1 (Graham et al., 2005; Albrecht et al., 2008), no differences were observed in the rumen level for either ATP1A1 or ATP1B1. According to Lopez et al. (1994), water exchange between the rumen contents and the plasma can occur in both directions depending on the osmolality pressure, where net movement of this water will define the balance in the rumen pool. However, when studying the flux of water in the rumen, the authors noticed that the rumen seemed not very permeable to water since the net extent of the transepithelial movement of water into or out of the rumen observed by them was not very high. Lopez et al. (1994) explained that to keep the animal hydrated, most of the water seems to be absorbed and recycled post-ruminally. Thus, since not much water is absorbed in the rumen, an increase on Na+/K+-ATPase activity might not be required in order to create a gradient for water absorption in the rumen.
Besides the Na+/K+-ATPase, the epithelial sodium channel (ENaC) is another important transporter of sodium. Regulation of sodium channels can be done by SGK1. Upregulation of SGK1 is usually stimulated by aldosterone when blood sodium levels are low, SGK1 will then stimulate sodium transport by the ENaC and Na+/K+-ATPase and increase transport of sodium to the cell (decreases sodium urinary excretion), leading to increased water uptake (concentration gradient), and thereby inducing a regulatory cell volume increase (Hills et al., 2008). In the current study, downregulation of SGK1 expression was observed for MP + grain-fed animals when compared to MP + forage-fed animals. This result corroborates with previous data, indicating that water is shifted to urinary excretion and the kidney increases the transport of sodium as an alternative to save water from urinary excretion.
Lastly, since the levels of dietary CP appear to play a role in the mRNA expression of the aforementioned genes, we investigated the expression of urea transporters (UT-B) in the rumen. Once ammonia is converted into urea in the liver, it can be excreted in the urine or recycled back to the rumen (Lapierre and Lobley, 2001). Blood urea can then cross the rumen mucosa by simple diffusion, AQGP or via facilitative UT-B. Nonetheless, UT-B mediates the movement of urea down a concentration gradient (Stewart et al., 2005; Abdoun et al., 2007; Walpole et al., 2015). In this current study, a trend was observed for animals backgrounded in a lower plain of nutrition, where MP + grain-fed diet tended to have a higher expression of UT-B as compared to their forage-fed counterparts. This result indicates that due to the lower levels of CP in the diet during the backgrounding phase and subsequent balanced levels of CP in the finishing phase— which also corresponds to the conventional beef production in the U.S.— animals had to recycle more urea back to the rumen to optimize microbial growth and maximize nutrient utilization. Furthermore, increased recycling of urea back to the rumen may also play a role in buffering the rumen epithelial microclimate by removing protons, which will further decrease the acidity caused by the increased levels of bacterially derived short chain fatty acids that are commonly observed on grain-based diets (Lu et al., 2014). Although previous studies have reported no effect of dietary protein levels on the expression of UT-B in the rumen (Ludden et al., 2009; Røjen et al., 2011; Saccà et al., 2018), the differences between CP levels in these studies ranged from 1.5% to 5%, whereas in ours the levels of CP were approximately doubled between groups during the finishing period.
Different from the rumen, in the kidney UT-As are the main urea transporter present. As urea concentration increases in the nephrons, an increased transport of water to form urine is required and therefore increased water loss on the animal end (Sands and Layton, 2009). Urea transporters A1 are specially important whenever urea needs to be recycled since they allow for rapid reabsorption of urea as urine flows along the collecting duct (Stewart, 2011). Although differences on UT-A1 expressions were expected among treatments, we were unable to detect changes in expression probably due to the high variation on the results obtained. Most UT-A isoforms are acutely regulated via phosphorylation and trafficking of the glycosylated transporters to the plasma membranes, which is induced by the antidiuretic hormone vasopressin (Stewart, 2011). Therefore, the results herein highlight the importance of protein abundance rather than only mRNA expression, since it would be a more accurate measure of changes on urea transporters along the nephron.
In conclusion, this study is the first to show that changes in the diet from earlier ages can influence the fate of water and urea metabolism of animals as strategies that may allow cattle nutritionists to fine tune their recommendations that would mitigate the use of water by the cattle industry. Those effects can be further evidenced between different finishing systems, and when and how the water mitigation conundrum should be tackled. In the kidney, mRNA expression of AQP3, AQP7, ATP1B1 and SGK1 were higher for animals backgrounded in a lower quality plane of nutrition and subsequently finished in a forage-fed diet, whereas in the rumen only AQP7 was different between groups. The expression of UT-B tended to be higher for animals backgrounded in the lower plain of nutrition and finished in a grain-fed diet. In the U.S. most animals are backgrounded to some extent in a low-quality forage and then finished either on a grass/forage-based or grain-based diet, and both would imprint different water footprints. Our results suggest that the decreased supply of protein earlier in life might cause some adaptative mechanism to cope with the lower nitrogen supply. However, further differences will also depend on the finishing diets of those animals. If animals are finished on a diet that matched their requirement, such as the grain-fed diet, they will tend to be better recyclers of nitrogen; whereas if they have an overload of protein in the next phase, due to a more efficient reabsorption of nitrogen by the kidneys, those animals might have a higher energy and water cost related to urea recycling and excretion. Therefore, the molecular mechanisms regulating gene expression of urea and water metabolism on those animals are dependent on not only the present diet, but also on their previous diets. Future investigations in protein expression and translocation are needed to improve our overall understanding for beef cattle diets in water, urea and ammonia regulation.
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Year 2024 volume 17 Issue 1
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doi: 10.1016/j.aninu.2023.12.011
  • Receive Date:2023-03-27
  • Online Date:2026-01-28
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  • Received:2023-03-27
  • Revised:2023-12-20
  • Accepted:2023-12-20
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    aCollege of Agriculture, Biotechnology & Natural Resources, University of Nevada, Reno, Reno, NV 89503, USA
    bDepartment of Animal and Range Sciences, Clayton Livestock Research Center, New Mexico State University, Clayton, NM 88415, USA

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Corresponding author. E-mail addresses: , (M.A. Fonseca).
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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