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ORIGINAL RESEARCH article

Front. Microbiol., 11 February 2022
Sec. Microorganisms in Vertebrate Digestive Systems
This article is part of the Research Topic Insights in Microorganisms in Vertebrate Digestive Systems: 2021 View all 18 articles

Haemonchus contortus Infection Alters Gastrointestinal Microbial Community Composition, Protein Digestion and Amino Acid Allocations in Lambs

  • 1Jilin Provincial Key Laboratory of Grassland Farming, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
  • 2College of Advanced Agricultural Science, University of Chinese Academy of Sciences, Beijing, China
  • 3CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China

The objective of this study was to investigate associations between gastrointestinal microbiota and protein metabolism of lambs infected with Haemonchus contortus. Sixteen male Ujumqin lambs (initial body weight = 32.4 ± 3.9 kg) were dewormed and randomly assigned to 2 equal groups, to be infected or not infected with Haemonchus contortus (GIN and CON, respectively). The experiment lasted 77 days. The GIN lambs had lower packed cell volume (PCV) and increased wormegg count (WEC) after 14 days. Furthermore, in infected lambs, there were decreases in apparent digestibility of dry matter (P = 0.011), crude protein (P = 0.004) and ether extract (P = 0.007), as well as decreased ruminal pepsin (P < 0.001) and lipase (P = 0.032) activity but increased ruminal α-amylase (P = 0.004) and cellulase activity (P = 0.002), and decreased jejunal α-amylase activity (P = 0.033). In addition, infection with H. contortus decreased alpha diversity of the gastrointestinal microbial community in the rumen, abomasum and duodenum, although microbiota associated with carbohydrate and proteolytic metabolism were increased and up to 32 KEGG pathways in the duodenum were predicted to be significantly affected. In conclusion, H. contortus infection in lambs altered the gastrointestinal microbial community composition and disturbed protein digestion and allocation of absorbed amino acids. These results provided insights into consequences of H. contortus infection in lambs and could facilitate development of novel nutritional strategies to improve animal health.

Introduction

Gastrointestinal nematodes (GINs) have been confirmed to be an important constraint to efficient ruminant production of worldwide (Wang et al., 2017). In particular, the nematode Haemonchus contortus of Trichostrongylidae family, a voracious abomasal blood feeder, has many deleterious effects on ruminants, including blood loss and inducing life-threatening anemia, which represent the primary constraint to profitable sheep and goat production in many regions of the world (Albers et al., 1990). It is well known that parasitism and malnutrition often occur concurrently, especially with inadequate dietary protein (amino acids). Altered protein metabolism in ruminants infected with GINs has been reported (Coop and Holmes, 1996). Furthermore, GIN infections decreased dietary protein utilization associated with tissue deposition, bone growth and wool production of sheep (Coop and Kyriazakis, 1999; Yu et al., 2000) but increased protein metabolism associated with tissue repair and immune responses (Ramanan et al., 2016). Furthermore, individual amino acids are also disturbed by GIN infections in sheep. For instance, the small intestine’s irreversible loss rate of methionine (Met) and cysteine (Cys) decreased in sheep infected with Trichostrongylus colubriformis, although the whole-body irreversible loss rate of Cys and valine (Val) was not affected (Bermingham, 2000). In addition, effects of GIN infections on host amino acid metabolism varied with the duration of infection (Yu et al., 2000). Mechanisms of altered dietary protein metabolism in lambs infected with H. contortus remain unclear, but may be related to the host’s gastrointestinal microbiota (Dai, 2011; Wu et al., 2020).

Countless microbes, including bacteria, archaea, fungi, protozoa, and viruses inhabit the gastrointestinal tract of ruminants and constitute the gut microbiota. This complex microbial community has an important role in ruminant physiology, including nutrient metabolism, immune system development and defense against pathogens (Peachey et al., 2017). Furthermore, the gastrointestinal tract is also home to various species of GINs (Wang et al., 2017). Parasitic GINs not only decrease host ruminant productivity, but also significantly alter the structure and function of their symbiotic gastrointestinal microbiome. Briefly, GIN infection increases the bacterial load but decreases the abundance of archaea in the abomasum and changes the function of microbiota, such as immunological pathways, energy homeostasis and nutrition metabolism (Li et al., 2016; Allison et al., 2018). Furthermore, these effects on gastrointestinal microbiota vary with duration of infection (Cortés et al., 2020). Increasing evidence, particularly in human and rodent models of helminth infection, indicate a multitude of interactions between parasites and gut microbiota, with profound impacts on host immunity and nutritional metabolic potential (Peachey et al., 2017). However, exploration of the relationship between the changes of gastrointestinal microbiota and the effects of nutritional metabolism in ruminants infected by GINs is fragmentary and not systematic, so, further research is needed.

The objective was to investigate effects of GIN infection on host lambs’ protein digestion and amino acid profiles, as well as gastrointestinal microbiota composition, biological pathways, and functional categories, to provide insights into how GIN affect gastrointestinal microbiota and protein metabolism in their hosts.

Materials and Methods

Ethical Approval

The animal study was reviewed and approved by the Animal Care Committee of the Institute of Geography and Agroecology, Chinese Academy of Sciences, Jilin, China (Protocol No. 2019003).

Lambs, Diets, and Experimental Design

Third-Stage Infectious Larvae Preparation

Third-stage (L3, infectious stage) H. contortus larvae were prepared by an egg hatching trial, as described (Hansen and Perry, 1990). In brief, 2 kg of fresh feces were collected from grazing sheep infected with GINs, as confirmed by microscopy. These feces were placed into a hatching basin which was put at ∼25°C and ∼70% relatively humidity to hatch mixed nematode eggs for 15 d. During hatching, the development status of larvae was assessed (light microscopy) based on their shape changes, to determine when most larvae reached the infectious L3 stage (oval eggs had just hatched into thread-like nematodes). After hatching, feces were wrapped with four layers of gauze and L3 larvae moved from the feces into water. The development status of larval and the species of mixed L3 mixed larvae were determined by light microscopy, as described (Hansen and Perry, 1990).

Lambs

Sixteen male Ujumqin lambs, 3–4 months old with an average live weight of 32.4 ± 3.9 kg, were reared under helminth-free conditions (verified and confirmed by parasitological examination of individual fecal samples prior to the beginning of the trial). All lambs were dewormed using a combination of abamectin (0.2 mg/kg BW), levamisole (7.5 mg/kg BW), and albendazole (5 mg/kg BW) (Pyrimide®, Novaritis Animal Health Co., Ltd., Shanghai, China). After 28 d of deworming, all lambs were randomly allocated into 2 groups (control group, CON and gastrointestinal nematode infection group, GIN), each with eight lambs, and GIN lambs were orally dosed L3 H. contortus. Before oral dosing of L3 H. contortus, the worm egg count (WEC) was checked to make sure zero egg burden for all lambs. Infection was induced by drenching each GIN lamb with ∼10,000 mixed L3 larvae (89 ± 4% H. contortus, 8 ± 4% Teladorsagia circumcincta and some other species of nematodes, as assessed by light microscopy (Classica 102M, China, Beijing), which were hatched in one batch before infection. In contrast, CON lambs were orally dosed tap water. After GIN lambs were infected, the formal feeding experiment was started and lasted 77 days.

Diets and Management

During the post-infection feeding period, each lamb was housed in a separate pen (140 cm long, 100 cm wide and 124 cm high) with ad libitum access to fresh water. All lambs were fed the same diet (Table 1) twice daily at 06:00 and 18:00. At each feeding, according to different feed intake of each lamb during adaption period, each lamb was generally given 700∼900 g concentrate. Then, sufficient corn straw was provided to ensure that each lamb would have no more than ∼10% refusal.

TABLE 1
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Table 1. Ingredients and chemical composition of experimental diets.

Sample Collection and Analysis Procedures

The daily feed supply and feed refusal for each lamb were recorded to calculate feed intake. Before the morning feeding on days 1, 7, 21, 42, 63, and 77 of the post-infection feeding period, all lambs were weighed and average daily gain (ADG) of each lamb was calculated during the feeding period. A digestibility trial started on day 35 and consisted of 5 days for adaption, followed by 5 days of sampling (total feces) to determine apparent digestibility of feed nutrients. All fresh feces of each lamb from each separate metabolism pen were collected daily (from 06:00 the first day to 06:00 the next day) by picking up each feces particle, sub-sampled (100 g/kg), and stored at −20°C. After 5 d of collection, five subsamples were mixed into a composited sample and stored at −20°C for further analysis. Dietary and fecal samples were dried at 65°C to determine dry matter (DM) and then forced through a 0.425 mm screen to facilitate analysis. Nitrogen content was analyzed (method no. 968.06; AOAC, 1990) and crude protein (CP) content was calculated as 6.25 × nitrogen content. The Van Soest detergent fiber analysis method was used to determine neutral detergent fiber (NDF) and acid detergent fiber (ADF) (Van Soest et al., 1991). Ash content was measured using the methods of the Association of Official Analytical Chemists (method 924.05; AOAC, 1990) and ether extract (EE) content was measured as described (AOAC, 1995).

On days 1, 3, 7, 14, 28, 42, 56, 63, and 77 post-infection, WEC was determined by the modified McMaster’s technique (Whitlock, 1948) and expressed as eggs per gram (EPG) of feces. Briefly, 2 g of crushed feces which was collected from the rectum was mixed with 28 mL of saturated saline and this solution was aspirated into the McMaster’s egg counting plate, the WEC was determined through a light microscope (Classica 102M, China, Beijing) in lab. At last, EPG was calculated from WEC (EPG = FEC × 50).

On days 1, 3, 7, 14, 21, 42, 63, and 77 post-infection, 7 mL of blood was collected from the jugular vein of each lamb, with 2 mL put into a sterile tube containing EDTA-K2 and PCV determined with a blood cell analyzer (Sysmex XE-2100, Shanghai, China). The remaining 5 mL of blood was put into a tube containing heparin sodium and the tubes were centrifuged at 2,500 × g for 15 min. Plasma free amino acid concentrations were determined as described (Jiao et al., 2020), using an automatic amino acid analyzer (Hitachi L-8900, Tokyo, Japan).

At 77 d after infection, all lambs fasted for 12 h, electrically stunned, and exsanguinated under commercial conditions. The current was delivered at a constant voltage of 220 V, 1.0 A for 3 s with scissor tongs applied using a head-only stunner, with electrodes between the eyes and ears on either side of the head. Lambs were exsanguinated within 20 s after stunning. Chyme in the rumen, abomasum, duodenum, jejunum, ileum and colon of each lamb was collected and immediately stored at −80°C for microbiome sequencing and assessment of gastrointestinal digestive enzyme activity.

Microbiome sequencing was done as described (El-Ashram et al., 2017). The ruminal, abomasal and duodenal chyme were centrifuged at 5,000 rpm for 5 min, and the supernatant was centrifuged at 12,000 rpm for 10 min. Total genomic DNA of the microbiota was extracted from each chyme sample using the QIAamp Fast DNA Stool Mini Kit (Qiagen, Hilden, Germany) according to manufacturers’ instructions. DNA concentration was quantified using a QuantiFluor fluorometer (Promega, United States). The region of bacterial 16S rRNA was used to characterize microbial populations in chyme samples. Universal primers were used to amplify the V3 and V4 hypervariable regions of the 16S rRNA gene library. The primers were 341F (5′-CCTAYGGGRBGCASCAG-3′) and 806R (5′-GGACTACNNGGGTATCTAAT-3′) (Lin et al., 2019). The PCRs were performed as follows: initial denaturation was 95°C for 5 min, followed by 30 cycles of 98°C for 10 s, 50°C for 30 s and 72°C for 30 s, with a final extension step at 72°C for 5 min. Pooled amplification products were purified with QIAauick Gel extraction Kit (Qiagen) according to manufacturer’s instructions. Subsequently, the amplicon library was prepared with TruSeq® DNA PCR-Free Sample Preparation Kit (Illumina, United States) and quantified with QuantiFluor™-ST (Promega, United States). The library pool was sequenced using an Illumina MiSeq Reagent Kit on an Illumina MiSeq sequencer, with NovaSeq6000 used for on-board sequencing. Pepsin, chymotrypsin, trypsin, cellulase, lipase and α-amylase activity were measured with a UV spectrophotometer (Shimadzu UV-1,800, Beijing, China), using commercial kits (Jianchen, Nanjing, China).

Statistical Analyses

Data for feed nutrient apparent digestibility and digestive enzyme activity were analyzed using a General Linear Model, followed by Duncan’s multiple range tests (SAS, 2002). Data for PCV, EPG and free amino acid profiles were analyzed with a MIXED model, as described (Littell et al., 1996). The model consisted of treatments, post-infection days, treatments × post-infection days interactions as fixed effects, and animals as the random effect. Measurements obtained from each lamb on various sampling days were treated as repeated measures. Means were separated using the least squares mean and presented with the standard error of the mean. Differences were considered significant if P ≤ 0.05. Figures were made with OriginPro 2021.

QIIME pipeline (Version 1.9.1) was used to calculate indexes of Observed OTUs, Chao1, Shannon, Simpson, ACE, Goods-coverage and PD whole tree. The software R (Version 2.15.3) was used to draw the rarefaction curve and analyze the statistical significance of Alpha diversity index by Wilcoxon rank sum test. The OTU relative abundance values were analyzed using the LEfSe algorithm to identify taxa with significant differences between treatments. Furthermore, Tax4Fun was used to predict gene contents and metagenomic functional information based on SILVA SSU Ref NR database. Differences were considered significant when P < 0.05.

Results

Packed Cell Volume, Dry Matter Intake, Average Daily Gai, and Digestibility

Infection with H. contortus decreased packed cell volume (PCV) and increased EPG. Briefly, the PCV in GIN was lower than in CON lambs during 14∼77 days post-infection (P < 0.05) (Figure 1A). Furthermore, EPG of GIN lambs increased after 28 d infection (P < 0.05) and remained higher than in CON lambs during 28∼63 days post-infection, although not significantly different. Finally, the EPG of GIN lambs reduced to a similar level with CON lambs on day 77 (P > 0.05) (Figure 1B).

FIGURE 1
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Figure 1. The PCV (A) and WEC (B) of lambs infected with Haemonchus contortus.*P < 0.05.

H. contortus infection decreased dry matter intake (DMI) of lambs by 20.7% (P < 0.001), reduced average daily gain (ADG) (P < 0.001) (Table 2) and decreased the apparent digestibility of dietary DM (P = 0.011), CP (P = 0.004), and EE (P = 0.007), but did not change the apparent digestibility of dietary NDF, ADF, or ash (P > 0.05).

TABLE 2
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Table 2. Growth performance and dietary nutrient apparent digestibility of lambs infected with Haemonchus contortusa.

Digestive Enzyme Activities

For protein-degrading enzymes, H. contortus infection decreased activity of ruminal pepsin (P < 0.001) and ileac trypsin (P = 0.025) but did not affect chymotrypsin activity in any part of the gut (Table 3). For starch digestion, H. contortus infection increased activity of ruminal α-amylase (P = 0.004) but decreased its activity in the jejunum (P = 0.033). For lipid and fiber digestion, H. contortus infection decreased ruminal (P = 0.032) and duodenal (P = 0.040) lipase activity, increased ruminal cellulase activity (P = 0.002), but did not affect their activity in other parts of the gastrointestinal tract (P > 0.05).

TABLE 3
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Table 3. Activity of gastrointestinal digestive enzymes of lambs infected with Haemonchus contortus.

Amino Acid Profiles

H. contortus infection altered plasma amino acid profiles and for most amino acids, their concentrations were significantly different between treatments on days 7, 42, and 63 post-infection (Figure 2). Plasma concentrations of essential amino acids (EAA) decreased after 42 days post-infection but did not reach significance (P > 0.05). Similarly, there was no difference between CON and GIN (P > 0.05) in concentrations of non-essential amino acids (NEAA). However, concentrations of aspartic acid (Asp) (P = 0.003) and glutamine acid (Glu) (P = 0.008) in GIN were higher than those in CON on day 7. Concentrations of Met (P = 0.045), alanine (Ala) (P = 0.036) and conditional EAA (proline and hydroxyproline) (CEAA, Pro + Hyp, P = 0.020) were lower in GIN than in CON on day 42. On day 63, concentrations were lower in GIN than in CON for the following: Met (P = 0.001), phenylalanine (Phe) (P = 0.001), threonine (Thr) (P = 0.007), leucine (+ isoleucine) (Leu + Ile)(P = 0.017), histidine (His) (P = 0.024), tyrosine (Tyr) (P = 0.008), Ala (P = 0.008), Asp (P < 0.001), serine (Ser) (P = 0.007), EAA (P = 0.011) and CEAA (Pro + Hyp) (P = 0.011); however, there were no differences for concentrations of valine (Val), lysine (Lys), arginine (Arg), glycine (Gly), Glu, and NEAA (P > 0.05). In addition, plasma Val concentrations were higher in GIN than CON on day 21. Notably, plasma Thr concentrations in GIN were lower than in CON from days 7 to 77 (P < 0.05).

FIGURE 2
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Figure 2. Changes in the plasma free amino acids profile of lambs infected with Haemonchus contortus. *P < 0.05; **P < 0.01; ***P < 0.001.

Microbiota Profile

A total of 529,532/579,319/584,093 high-quality reads were obtained from the ruminal/abomasal/duodenal chyme samples which were collected from 12 lambs, with a mean of 44,128/48,277/48,674 reads per sample from the rumen, abomasum and duodenum, respectively. The number of OTUs detected in each ruminal sample ranged from 838 to 2,207 with a mean of 1,587; the number of OTUs detected in each abomasal sample ranged from 546 to 2,286 with a mean of 1,540; and the number of OTUs detected in each duodenal sample ranged from 574 to 1,915 with a mean of 1,296. The OTUs in the rumen, abomasum and duodenum of CON/GIN were 1950.67 ± 569.62/1559.33 ± 623.16, 1920.50 ± 488.85/1651.00 ± 651.83, and 1617.50 ± 519.03/1392.50 ± 651.36, respectively. There were 2,739, 2,789, and 2,311 shared OTUs in the rumen, abomasum and duodenum of both groups, respectively, and 33.94/28.91, 28.80/24.27, and 32.05%/30.20% unique OTUs in the rumen, abomasum and duodenum of CON/GIN, respectively (Figure 3). Rarefaction curves generated for the OTU number nearly reached asymptotes at read depths of 30,000 for all samples, indicating the sampling depth provided sufficient coverage for comprehensive analysis of bacterial composition. Furthermore, good’s coverage was > 0.97 for all samples, implying that depth of coverage met requirements of subsequent measurements.

FIGURE 3
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Figure 3. Venn diagrams of rumen, abomasum and duodenum is (A–C), respectively and rarefaction curves of rumen, abomasum and duodenum is (D–F) of lambs infected with Haemonchus contortus.

Based on rarefaction curves, species richness of ruminal, abomasal, and duodenal chyme were lower in GIN vs. CON (Figure 3). However, based on a comparison between treatments of observed species values of chyme in abomasum (Wilcoxon rank sum test: P = 0.220), rumen (P = 0.452) and duodenum (P = 0.615), species richness reduction was not obvious by GIN infection. Similarly, there were no significant differences between treatments in Chao1, Shannon, good coverage and PD whole tree indexes of ruminal, abomasal and duodenal chyme, and the Simpson indices of ruminal and duodenal chyme were not affected by H. contortus infection (P > 0.05). By contrast, for abomasal chyme, the Simpson value differed between treatments (P = 0.034) (Table 4).

TABLE 4
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Table 4. Alpha diversity index of microbiota in rumen, abomasum and duodenum of lambs infected with Haemonchus contortus.

A diverse range of bacterial phyla were identified in all chyme samples, including Firmicutes, Bacteroidota, Euryarchaeota, Actinobacteriota, Proteobacteria, and Spirochete (Figure 4). Relative proportions of these phyla differed between treatments (P < 0.05) in the abomasum and duodenum, but not in the rumen. In the GIN treatment, abomasal Spirochete (P = 0.013), Verrucomicrobiota (P = 0.025), Campilobacterota (P = 0.028) and Synergistota (P = 0.041) were lower, whereas in the duodenum, Firmicutes was higher (P = 0.041).

FIGURE 4
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Figure 4. The top 10 phyla and other phyla of the rumen, abomasum and duodenum of lambs infected with Haemonchus contortus. (A–C) The top 10 phyla in the rumen, abomasum and duodenum; (D) significantly different phyla in the duodenum; (E–H) significantly different phyla in abomasum. *P < 0.05.

There was a clear shift in microbial proportions at the family level, with specific families of taxa increasing or decreasing in abundance during the course of infection (Figure 5). H. contortus infection changed a variety of abomasal microbial families, with an increase in abomasal Lactobacillaceae (P = 0.026) and decrease in Spirochaetaceae (P = 0.005) and Synergistaceae (P = 0.041). In addition, in the GIN treatment, the family of duodenal Lactobacillaceae (P = 0.030) and Ruminococcaceae (P = 0.041) increased, whereas duodenal Anaerofustaceae decreased (P = 0.041).

FIGURE 5
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Figure 5. The top 10 families and significantly different families of rumen, abomasum and duodenum. (A–C) The top 10 families of rumen, abomasum and duodenum; (D–F) significantly different families in abomasum; (G–I) significantly different families in duodenum. *P < 0.05.

Microbial community composition at the genus level also differed between treatments (Figure 6). In the GIN treatment, the genus of Family XIII AD3011 group in rumen decreased (P = 0.048), but there was increased UCG-002 (P = 0.009) and Lactobacillus (P = 0.030) in duodenal chyme. H. contortus infection caused a variety of genus changes in the abomasal chyme microbial community, with declines in Treponema, Fretibacterium, Lachnospiraceae XPB1014 group, Quinella, Family XIII AD3011 group, Butyrivibrio and Pseudobutyrivibrio (P < 0.05). However, the genus Lactobacillus increased (P = 0.026).

FIGURE 6
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Figure 6. The top 10 genus and significant different genus of rumen, abomasum and duodenum. (A–C) The top 10 genus of rumen, abomasum and duodenum; (D) significantly different genus in rumen; (E–L) significantly different genus in abomasum; (M,N) significantly different genus in duodenum. *P < 0.05, **P < 0.01.

Regarding proteolytic bacteria in duodenal chyme, samples in the GIN treatment also differed from those in the CON treatment at the genus level (Figure 7). In the GIN treatment, there were significant increases in: the genus of Prevotella, Propionibacterium, and Streptococcus in ruminal chyme; the genus of Bacteroides, Propionibacterium, and Streptococcus in abomasal chyme; and the genus of Prevotella, Bacteroides, and Streptococcus in duodenal chyme.

FIGURE 7
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Figure 7. The proteolytic bacteria of rumen (A–E), abomasum (F–J) and duodenum (K–O) at genus level.

The KEGG pathways of duodenum microbiota are shown (Table 5). It is noteworthy that some pathways closely related to metabolism of amino acids, carbohydrate and lipids were changed by H. contortus infection (P < 0.05).

TABLE 5
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Table 5. KEGG pathways of the duodenum microbiota significantly affected by Haemonchus contortus infection in lambs.

Discussion

Effects of Haemonchus contortus Infection on Packed Cell Volume, Growth and Digestion

The WEC and PCV are preferred parameters to indicate GIN infection status. Our present results were consistent with previous reports that H. contortus infections consistently increase WEC and decrease PCV due to their blood sucking (Khan et al., 2017; Silva et al., 2019). The reason for the WEC to go back to zero at 77 days may be connected with cold temperature (Lucius et al., 2017). Furthermore, DMI and ADG of GIN lambs decreased by 20.7 and 113.1%, respectively, when compared to CON lambs, consistent with reports that H. contortus infections reduce growth performance of host ruminants, attributed to the infection decreasing feed intake, resulting in anorexia (Jones et al., 2006) and suppressing digestion and absorption of dietary nutrients (Angulo-Cubillan et al., 2007).

In the present study, dietary protein and lipid metabolism were altered by the H. contortus infection. Many studies concluded that GIN infection had negative effects on feed intake and nutrient digestibility (Coop and Holmes, 1996; Coop and Kyriazakis, 1999; Cardia et al., 2011). Meanwhile, GIN infection in sheep has been reported to impair rumen function and metabolism, increase the pH of rumen and decrease the degradability of the feed (Doyle et al., 2011). Furthermore, Bown et al. (1991) reported that GIN (T. colubriformis and O. circumcincta) infection alters metabolism of protein more than other components. In addition, based on higher α-amylase activity, H. contortus infection increased carbohydrate metabolism in the rumen, compensating for the loss of energy supply from depressed protein and lipid metabolism and a potential reason why protein metabolism was largely affected by infection rather than fiber metabolism (Houdijk et al., 2012). Rumen function of infected lambs may be altered in response to H. contortus infection. Doyle et al. (2011) showed that sheep infected with H. contortus had an increase in fluid outflow, turnover rate, and a decrease in propionic acid concentration which may be the reason why sheep develop resistance to H. contortus infection.

Amino Acid Profiles

Plasma amino acid profiles were measured to elucidate effects of H. contortus infection on host protein metabolism. Some amino acids, especially some EAA, were preferentially used for regulating immune responses, tissue repair, and to support H. contortus growth which reflects that the redistribution of amino acid resources may related with the development of GIN (Coop and Holmes, 1996; Colditz, 2010; Doyle et al., 2014).

In the present study, plasma Thr concentrations were markedly decreased in infected lambs. H. contortus infections damage the host’s gastrointestinal mucosa, causing enteritis (Hoste et al., 2006). Furthermore, Thr is abundant in the mucin that lines the gut (Zhang et al., 2019). Expression of protein regulated genes related to mucin secretion in the gastrointestinal tract of animals decreased when dietary Thr was deficient (Emadinia et al., 2020). Besides, Thr has an important role in preventing the bite of nematodes and inhibiting the colonization of nematodes in parasitic habitats (Emadinia et al., 2020). Perhaps decreased plasma Thr concentrations were due to synthesizing mucin repairing gastrointestinal damage. Furthermore, there was an inverse relationship between plasma Thr concentrations and WEC, so the former may be an indicator to judge the severity of H. contortus infection in small ruminants.

WEC peaking on day 42 post-infection indicated that the parasitic larvae had developed into adults and reached peak spawning. Concurrently, there were decreases in plasma Pro and Arg concentrations, two amino acids required for nematode establishment, reproduction, and survival. Nematode eggs are composed of proline-rich proteins and each egg is enclosed by a stratum corneum, forming a barrier between itself and the host’s gastrointestinal environment (Page et al., 2014). In addition, Pro is also involved in regulation of nematode osmotic pressure (Barrett, 1991). Consequently, adult nematodes derive a large amount of Pro from host blood to support growth and reproduction (Page et al., 2014). In addition, Arg can promote attachment and growth of GINs and act as a nematode-secreted protein interaction factor to initiate the host’s non-specific defense mechanisms (James, 1995).

In the present study, severe shedding of wool occurred in most GIN lambs. Wool protein has a relatively high requirement for Met and Cys, the sulfur amino acids (Adams and Liu, 2003). Furthermore, the irreversible loss rate (an index reflecting effects of parasitic infection on protein turnover) of Met and Cys, was reduced by 13∼15% in GIN lambs (Bermingham, 2000; Liu et al., 2002). Therefore, changes in plasma Met and Cys concentrations were consistent with wool loss in GIN lambs. Furthermore, Met and Cys are involved in activation of immune responses. In that regard, Cys is the substrate of some immune proteins and inflammatory factors, e.g., glutathione (GSH) (Grimble, 2006).

Changes in plasma EAA concentrations appeared to be associated with immune functions during parasitic infections (Houdijk et al., 2012). In addition to Met and Cys, there is increased utilization of His, Phe and Asp in production of proteinaceous immune response components, enhancing host immune responses and promoting growth of intestinal mucosa (Liu et al., 2008; Zhang et al., 2013). Increased plasma Asp concentration on day 7 post-infection in the present study was in contrast to the decrease at day 63; and perhaps its function changes in different stages of H. contortus infection. We inferred that increased Asp on day 7 was due to its primary role for synthesis of Thr, which is in high demand during infection, as noted above (Emadinia et al., 2020). There are reports of similar changes in utilization of amino acids of animals infected by GINs. For example, Leu utilization differed at 18∼20 week of GIN infection compared to 5∼7 or 11∼13 week (Yu et al., 2000). In addition to Asp, plasma concentrations of Glu, Ser and Tyr increased during H. contortus infection. It is noteworthy that Glu cannot be synthesized by the host and has an important role in maintaining host nitrogen balance and biosynthesis of Gln, Arg and Pro. In addition, Glu contributes to energy generation and production of host gastrointestinal tract mucosa (Reeds, 2000). Consistent with the findings in lambs infected with T. colubriformis (Roy et al., 2003), the current results of increased plasma Glu and Asp content from days 1 to 21 indicated that the host might mobilize more Glu to be absorbed into the blood to prevent against parasitic larvae colonization. Therefore, the urgent need of Asp and Glu seem to be an important marker of invasion by H. contortus.

Increased Ser may be associated with nutrient transfers caused by H. contortus infection. Infections with GIN infection can trigger the transfer of nutrients from production sites to other tissues to synthesize key proteins (Cardia et al., 2011), causing significant increases in concentrations of amino acids (e.g., Ser) related to skeletal muscle formation (Rowe et al., 1978). Decreased plasma Tyr concentrations may be due to Tyr being used to synthesize Phe.

In summary, H. contortus infection increased protein requirements for maintenance, repair of parasite-induced damaged tissue, production of proteinaceous immune response components, for nematode establishment, fecundity and survival. Therefore, plasma amino acid concentrations changed with increased requirements to meet demands.

Microbiota Composition

GIN infections may change the composition of the host’s gastrointestinal microbial community (Li et al., 2016; Wang et al., 2019). Alpha diversity is defined as the average species diversity within a microbial population (Tuomisto, 2010). Increased alpha diversity in the gastrointestinal microbiota is usually related to healthy gastrointestinal homeostasis. In contrast, many inflammatory responses, e.g., gastrointestinal diseases and GIN infection, decrease alpha diversity (Bak et al., 2015; Cattadori et al., 2016). Similarly, in the present study, microbiota associated with host health decreased, including the genus of Lachnospiraceae XPB1023 group, Treponema, Butyrivibri, and Pseudobutyrivibrio (the so-called butyrate-producer bacteria) in the abomasum. Butyrate, with its involvement in the energy supply and gastrointestinal tract epithelial health, is a major microbial fermentation product in gastrointestinal tract. Our results were in accordance with reports of a lower abundance of butyrate-producing bacteria in goats infected by H. contortus (Li et al., 2016) and Cryptosporidium parvum (Mohamed et al., 2020). However, in some studies, alpha diversity did not change or increase during GIN infection (Li et al., 2012; McKenney et al., 2015). These apparent differences may be due to different animal or parasite species, as well as sampling times. Acute inflammatory episodes after parasite invasion of the gastrointestinal tract are likely accompanied by decreased microbial diversity, which may subsequently be restored.

Despite decreased microbiome diversity in the rumen, abomasum, and duodenum, the abundance of some key microbiota increased in the GIN group. These increased microbiotas may restore nutrient metabolism in the host lambs. There was an increase in microbiota associated with cellulose breakdown, e.g., phylum of Firmicutes (including the genus of UCG-002) in duodenum and the family of Ruminococcoceae. The latter, and Firmicutes, degrade cellulose and hemicellulose (Jennifer et al., 2009; Biddle et al., 2013), is consistent with the absence of a decrease in NDF and ADF apparent digestibility in the GIN treatment. Higher abundance of fiber-degrading microbiota could have compensated for the disruption of digestion and absorption caused by mucosal damage.

Fermentability and physical properties of host dietary carbohydrates affect establishment, distribution and fecundity of GINs (Petkevicius et al., 2007). In the present study, some microbiotas associated with starch and other carbohydrates metabolism increased, including the family of Lactobacillaceae, the genus of Lactobacillus (and the species of Lactobacillus amylovorus, Lactobacillus reuteri) and Treponema appeared in the abomasum and duodenum rather than the rumen. Furthermore, L. amylovorus and L. reuteri are the most abundant species among Lactobacillus spp. (Splichal et al., 2019). Lactobacillus are called probiotics; in vitro, Lactobacillus released antimicrobial substances (Foster et al., 2003; Tierney et al., 2004), and end products of carbohydrate fermentation, including short-chain fatty acids (such as butyrate and acetate) which can enhance functions of epithelial cells. Adding probiotics increased glucose absorption in pig small intestines during Ascaris suum infection, which can in turn promote expelling of GIN (Li et al., 2012). So, increased Lactobacillus has a therapeutic role. Furthermore, increased Lactobacillus and Treponema are non-pathogenic, carbohydrate-metabolizing bacteria that can enhance the supply of nutrients needed in response to GIN infection (Flint et al., 2012; Allison et al., 2018; Zúiga et al., 2020). In addition, KEGG pathways related to carbohydrate metabolism were enhanced in infected lambs. Therefore, we inferred those compensatory signatures were induced to degrade carbohydrates to supply nutrients and energy needed by hosts.

Carbohydrate metabolism is related to protein metabolism, as common metabolic intermediates from protein metabolism are also involved in carbohydrate metabolism, e.g., tricarboxylic acid cycle, pentose phosphate pathway and glycolysis (Mu et al., 2015). In theory, carbohydrate metabolism promotes uptake and utilization of nitrogen-containing substances by hosts. Infected animals have increased gastrointestinal protein leakage and increased shedding of epithelial tissues, resulting in increased gastrointestinal protein losses and requirements (Poppi et al., 1986; Bown et al., 1991). However, the host has compensatory abilities to reabsorb and utilize nutrients, e.g., increased rumen protein digestion and/or reabsorption and utilization of rumen by-pass protein in the duodenum when protein digestion in the abomasum is suppressed due to parasite infection (Poppi et al., 1986). Furthermore, we inferred that microbiota composition may also have an important role in compensating for protein metabolism of lambs infected by H. contortus. In the present study, microbiota associated with protein metabolism increased in the GIN treatment. Prevotella (the most important proteolytic bacteria for ruminants) increased in the rumen and duodenum, but decreased in the abomasum, opposite to the results of Li et al. (2016). The genus of Bacteroides, Propionibacterium, Clostridium, Streptococcus, Staphylococcus, Bacillus, Prevotella, and the family of Ruminococcaceae are the main proteolytic bacteria (Mafra et al., 2013; Wu et al., 2020; Zhao et al., 2021). Increases in these bacteria may improve reabsorbtion and utilization of protein and amino acids and thus influence production of key metabolites. In addition, KEGG pathways of amino acid metabolism were increased in the GIN treatment. Therefore, although H. contortus in the abomasum reduced protein uptake, there was increased protein utilization in the host gastrointestinal tract to address requirements.

In addition, there was also an association between protein/amino acid metabolism and changes in composition of gastrointestinal microbiota. Whereas the host provides nutrients to gastrointestinal microbiota and nutrient deficiencies will cause microbial changes, microbiota also produce amino acids that can be used by the host and compensate for amino acid deficiencies caused by infection. There are variations among gut bacteria synthesis and metabolism of amino acids and proteins. For instance, Clostridium perfringens lacks genes for biosynthesis of various amino acids (e.g., Glu, Arg, His, Lys, Met, Ser, Thr as well as aromatic and branched-chain amino acids) (Portune et al., 2016), whereas other Clostridium species such as Clostridium acetobutylicum have a complete set of genes for amino acid biosynthesis (Nölling et al., 2001). Therefore, we inferred that the microbiota composition changes in the present results were closely related to changes in plasma amino acid concentrations and biosynthesis of amino acids by gastrointestinal microbiota. This may regulate amino acids homeostasis in a host infected with nematodes, although regulation mechanisms of amino acid homeostasis by the microbiota in the host has not been well characterized.

Conclusion

In our study, H. contoutus infection decreased feed intake, inhibited apparent digestibility (especially of dietary protein and lipids) and reduced growth performance. In addition, protein absorption was disturbed, plasma amino acid profiles were altered, and ruminal pepsin and ileac trypsin activity decreased. However, infected lambs redistributed absorbed amino acids, with decreased plasma concentrations of Trp, Pro and Arg and increased plasma concentrations of Asp, Glu, Ser and Tyr, to compensate for protein and amino acids losses due to H. contortus colonization, development and reproduction. These physiological and metabolic changes in H. contortus infection lambs were closely associated with changes in gastrointestinal microbial community composition. The most important finding was an increase in carbohydrate and proteolytic bacteria genus. The present study provided new insights into physiological consequences of H. contortus infection in ruminants, which not only improved ruminant gastrointestinal health regulation theories and technologies, but also facilitated establishment of novel indicators, such as plasma amino acid profile, to evaluate or diagnose infection status in small ruminants.

Data Availability Statement

The original contributions presented in the study are publicly available. This data can be found here: NCBI: USB10549205.

Ethics Statement

The animal study was reviewed and approved by the Animal Care Committee of the Institute of Geography and Agroecology, Chinese Academy of Sciences, Jilin, China (Protocol No. 2019003).

Author Contributions

HX: investigation, methodology, software, data curation, and writing-original draft. YF: supervision, validation, writing-review, and editing. ZT: conceptualization, supervision, writing-review, and editing. RZ: conceptualization, methodology, software, data curation, supervision, validation, writing-review, and editing, funding acquisting. All authors contributed to the article and approved the submitted version.

Funding

This work was financially supported by the National Natural Science Foundation of China (31972595), the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA26040305), the Science and Technology Development Project of Jilin Province (20200201140JC and 20200602016ZP), and Youth Innovation Production Association of the Chinese Academy of Sciences (Y201949).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Adams, N. R., and Liu, S. M. (2003). Principles of nutrient partitioning for wool, growth and reproduction: implications for nematode parasitism. Aust. J. Exp. Agric. 43, 1399–1407. doi: 10.1071/ea03007

CrossRef Full Text | Google Scholar

Albers, G. A. A., Gray, G. D., Jambre, L. F. L., Barger, I. A., and Barger, J. S. F. (1990). The effect of Hemonchus contortus infection on hematological parameters in young merino sheep and its significance for productivity. Anim. Prod. 50, 99–109. doi: 10.1017/s0003356100004505

CrossRef Full Text | Google Scholar

Allison, C., Guillaume, S., Valentine, B., Fabrice, M., Annabelle, M., Jacques, C., et al. (2018). Strongyle infection and gut microbiota: profiling of resistant and susceptible horses over a grazing season. Front. Physiol. 9:272. doi: 10.3389/fphys.2018.00272

PubMed Abstract | CrossRef Full Text | Google Scholar

Angulo-Cubillan, F. J., Garcia-Coiradas, L., Cuquerella, M., Fuente, C. D. L., and Alunda, J. M. (2007). Haemonchus contortus-sheep relationship: a review. Revista Científica de Veterinaria 17, 577–587.

Google Scholar

AOAC (1990). Official Methods of Analysis. Association of Official Analytical Chemists, 15th Edn. Arlington, VA: AOAC.

Google Scholar

AOAC (1995). Official Methods of Analysis of the Association of Official Analytical Chemists, 16th Edn. Arlington, VA: AOAC.

Google Scholar

Bak, H. J., Daniel, S., Pia, K., Yuliaxis, R. C., Jordi, E., Tao, M., et al. (2015). Chronic Trichuris muris infection decreases diversity of the intestinal microbiota and concomitantly increases the abundance of Lactobacilli. PLoS One 10:e0125495. doi: 10.1371/journal.pone.0125495

PubMed Abstract | CrossRef Full Text | Google Scholar

Barrett, J. (1991). Amino acid metabolism in helminths. Adv. Parasitol. 30, 39–105. doi: 10.1016/s0065-308x(08)60306-1

CrossRef Full Text | Google Scholar

Bermingham, E. N. (2000). Whole-body irreversible loss rate of cysteine and valine in sheep with or without a Trichostrongylus colubriformis infection. Asian Australas J. Anim. Sci. 13, 196–199. doi: 10.1017/S0007114515004894

PubMed Abstract | CrossRef Full Text | Google Scholar

Biddle, A., Stewart, L., Blanchard, J., and Leschine, S. (2013). Untangling the genetic basis of fibrolytic specialization by Lachnospiraceae and Ruminococcaceae in diverse gut communities. Diversity 5, 627–640. doi: 10.3390/d5030627

CrossRef Full Text | Google Scholar

Bown, M. D., Poppi, D. P., and Sykes, A. R. (1991). Nitrogen transactions along the digestive tract of lambs concurrently infected with Trichostrongylus colubriformis and Ostertagia circumcincta. Br. J. Nutr. 66, 237–249. doi: 10.1079/bjn19910028

PubMed Abstract | CrossRef Full Text | Google Scholar

Cardia, D. F. F., Rocha-Oliveira, R. A., Tsunemi, M. H., and Amarante, A. F. T. (2011). Immune response and performance of growing Santa Ines lambs to artificial Trichostrongylus colubriformis infections. Vet. Parasitol. 182, 248–258. doi: 10.1016/j.vetpar.2011.05.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Cattadori, I. M., Sebastian, A., Hao, H., Katani, R., Albert, I., Eilertson, K. E., et al. (2016). Impact of helminth infections and nutritional constraints on the small intestine microbiota. PLoS One 11:e0159770. doi: 10.1371/journal.pone.0159770

PubMed Abstract | CrossRef Full Text | Google Scholar

Colditz, I. G. (2010). Six costs of immunity to gastrointestinal nematode infections. Parasite Immunol. 30, 63–70. doi: 10.1111/j.1365-3024.2007.00964.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Coop, R. L., and Holmes, P. H. (1996). Nutrition and parasite interaction. Int. J. Parasitol. 26, 951–962. doi: 10.1016/s0020-7519(96)80070-1

CrossRef Full Text | Google Scholar

Coop, R. L., and Kyriazakis, I. (1999). Nutrition–parasite interaction. Vet. Parasitol. 84, 187–204. doi: 10.1016/s0304-4017(99)00070-9

CrossRef Full Text | Google Scholar

Cortés, A., Rooney, J., Bartley, D. J., Nisbet, A. J., and Cantacessi, C. (2020). Helminths, hosts, and their microbiota: new avenues for managing gastrointestinal helminthiases in ruminants. Expert Rev. Anti-Infect Ther. 18, 977–985. doi: 10.1080/14787210.2020.1782188

PubMed Abstract | CrossRef Full Text | Google Scholar

Dai, Z. L. (2011). Amino acid metabolism in intestinal bacteria: links between gut ecology and host health. Front. Biosci. 16:1768. doi: 10.2741/3820

PubMed Abstract | CrossRef Full Text | Google Scholar

Doyle, E. K., Kahn, L. P., and Mcclure, S. J. (2011). Rumen function and digestion of merino sheep divergently selected for genetic difference in resistance to Haemonchus contortus. Vet. Parasitol. 179, 130–136. doi: 10.1016/j.vetpar.2011.01.063

PubMed Abstract | CrossRef Full Text | Google Scholar

Doyle, E. K., Kahn, L. P., and Mcclure, S. J. (2014). Nutrient partitioning of merino sheep divergently selected for genetic difference in resistance to Haemonchus contortus. Vet. Parasitol. 205, 175–185. doi: 10.1016/j.vetpar.2014.06.028

PubMed Abstract | CrossRef Full Text | Google Scholar

El-Ashram, S., Al Nasr, I., Abouhajer, F., El-Kemary, M., Huang, G., Dinçel, G., et al. (2017). Microbial community and ovine host response varies with early and late stages of Haemonchus contortus infection. Vet. Res. Commun. 41, 263–277. doi: 10.1007/s11259-017-9698-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Emadinia, A., Toghyani, M., Foroozandeh, A. D., Tabeidian, S. A., and Ostadsharif, M. (2020). Growth performance, jejunum morphology and mucin-2 gene expression of broiler Japanese quails fed low-protein diets supplemented with threonine. Ital. J. Anim. Sci. 19, 667–675. doi: 10.1080/1828051x.2020.1780962

CrossRef Full Text | Google Scholar

Flint, H. J., Scott, K. P., Duncan, S. H., Louis, P., and Forano, E. (2012). Microbial degradation of complex carbohydrates in the gut. Gut Microbes 3, 289–306. doi: 10.4161/gmic.19897

PubMed Abstract | CrossRef Full Text | Google Scholar

Foster, J. C., Glass, M. D., Courtney, P. D., and Ward, L. A. (2003). Effect of Lactobacillus and Bifidobacterium on Cryptosporidium parvum oocyst viability. Food Microbiol. 20, 351–357.

Google Scholar

Grimble, R. F. (2006). The effects of sulfur amino acid intake on immune function in human. J. Nutr. 6, 1660S–1665S.

Google Scholar

Hansen, J., and Perry, B. (1990). The Epidemiology, Diagnosis and Control of Gastrointestinal Parasites of Ruminants in Africa. Nairobi: ILRAD (International Laboratory for Research on Animal Diseases), 51–64.

Google Scholar

Hoste, H., Jackson, F., Athanasiadou, S., Thamsborg, S. M., and Hoskin, S. O. (2006). The effects of tannin-rich plants on parasitic nematodes in ruminants. Trends Parasitol. 22, 253–261. doi: 10.1016/j.pt.2006.04.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Houdijk, J. G. M., Kyriazakis, I., Kidane, A., and Athanasiadou, K. (2012). Manipulating small ruminant parasite epidemiology through the combination of nutritional strategies. Vet. Parasitol. 186, 38–50. doi: 10.1016/j.vetpar.2011.11.044

PubMed Abstract | CrossRef Full Text | Google Scholar

James, S. L. (1995). Role of nitric oxide in parasitic infections. Microbiol Reviews. 59, 533–547. doi: 10.1128/mmbr.59.4.533-547.1995

CrossRef Full Text | Google Scholar

Jennifer, M. B., Dionysios, A. A., Margret, E. B. M., Melissa, K. W., Anthony, C. Y., Elizabeth, A. D., et al. (2009). Gene-centric metagenomics of the fiber-adherent bovine rumen microbiome reveals forage specific glycoside hydrolases. Proc. Natl. Acad. Sci. U.S.A. 106, 1948–1953. doi: 10.1073/pnas.0806191105

PubMed Abstract | CrossRef Full Text | Google Scholar

Jiao, J., Wang, T., Zhou, J., Degen, A. A., Gou, N., Li, S. S., et al. (2020). Carcass parameters and meat quality of Tibetan sheep and Small-tailed Han sheep consuming diets of low-protein content and different energy yields. J. Anim. Physiol. Anim. Nutr. 104, 1010–1023. doi: 10.1111/jpn.13298

PubMed Abstract | CrossRef Full Text | Google Scholar

Jones, O. R., Anderson, R. M., and Pilkington, J. G. (2006). Parasite-induced anorexia in a free-ranging mammalian herbivore: an experimental test using Soay sheep. Can. J. Zool. 84, 685–692.

Google Scholar

Khan, F. A., Sahoo, A., and Karim, S. A. (2017). Moderate and high levels of dietary protein on clinico-biochemical and production responses of lambs to repeated Haemonchus contortus infection. Small Rumin. Res. 150, 52–59. doi: 10.1016/j.smallrumres.2017.03.009

CrossRef Full Text | Google Scholar

Li, R. W., Li, W., Sun, J., Yu, P., Baldwin, R. L., and Urban, J. F. (2016). The effect of helminth infection on the microbial composition and structure of the caprine abomasal microbiome. Sci. Rep. 6:20606. doi: 10.1038/srep20606

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, R. W., Wu, S., Li, W., Navarro, K., Couch, R. D., Hill, D., et al. (2012). Alterations in the porcine colon microbiota induced by the gastrointestinal nematode Trichuris suis. Infect. Immun. 80:2150. doi: 10.1128/IAI.00141-12

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, L., Xie, F., Sun, D., Liu, J., Zhu, W., and Mao, S. (2019). Ruminal microbiome-host crosstalk stimulates the development of the ruminal epithelium in a lamb model. Mirobiome 7:83. doi: 10.1186/s40168-019-0701-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Littell, R. C., Milliken, G. A., Stroup, W. W., Wolfinger, R., Little, R., Miliken, G., et al. (1996). SAS System for Mixed Models. Cary, NC: SAS Inst. Inc.

Google Scholar

Liu, S. M., Tavendale, M., Bermingham, E. N., Roy, N. C., and Lee, J. (2002). The effects of parasite infection on methionine metabolism in sheep. Anim. Prod. Aust. 24, 133–136.

Google Scholar

Liu, Y. L., Huang, J. J., Hou, Y. Q., Zhu, H. L., Zhao, S. J., Ding, B. Y., et al. (2008). Dietary arginine supplementation alleviates intestinal mucosal disruption induced by Escherichia coli lipopolysaccharide in weaned pigs. Brit. J. Nutr. 100, 552–560. doi: 10.1017/S0007114508911612

PubMed Abstract | CrossRef Full Text | Google Scholar

Lucius, R., Loosfrank, B., Grencis, R. K., Lane, R. P., Poulin, R., and Roberts, C. W. (2017). The Biology of Parasites. Hoboken, NJ: Wiley-VCH Publishers, 312–313.

Google Scholar

Mafra, D., Barros, A. F., and Fouque, D. (2013). Dietary protein metabolism by gut microbiota and its consequences for chronic kidney disease patients. Future Microbiol. 8, 1317–1323. doi: 10.2217/fmb.13.103

PubMed Abstract | CrossRef Full Text | Google Scholar

McKenney, E. A., Williamson, L., Yoder, A. D., Rawls, J. F., and Parker, W. (2015). Alteration of the rat cecal microbiome during colonization with the helminth Hymenolepis diminuta. Gut Microbes 6, 182–193. doi: 10.1080/19490976.2015.1047128

PubMed Abstract | CrossRef Full Text | Google Scholar

Mohamed, M., Obregón, D. A., Chevillot, A., Chevillot, A., Polack, B., Julien, C., et al. (2020). Cryptosporidium parvum Infection depletes butyrate producer bacteria in goat kid microbiome. Front. Microbiol. 11:548737. doi: 10.3389/fmicb.2020.548737

PubMed Abstract | CrossRef Full Text | Google Scholar

Mu, C., Yang, Y., Luo, Z., and Zhu, W. (2015). Metabolomic analysis reveals distinct profiles in the plasma and urine of rats fed a high-protein diet. Amino Acids 47, 1225–1238. doi: 10.1007/s00726-015-1949-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Nölling, J., Breton, G., Omelchenko, M. V., Makarova, K. S., and Smith, D. R. (2001). Genome sequence and comparative analysis of the solvent-producing bacterium Clostridium acetobutylicum. J. Bacteriol. 183, 4823–4838. doi: 10.1128/JB.183.16.4823-4838.2001

PubMed Abstract | CrossRef Full Text | Google Scholar

Page, A. P., Stepek, G., Winter, A. D., and Pertab, D. (2014). Enzymology of the nematode cuticle: a potential drug target? Int. J. Parasitol. Drugs Drug Res. 4, 133–141. doi: 10.1016/j.ijpddr.2014.05.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Peachey, L. E., Jenkins, T. P., and Cantacessi, C. (2017). This gut ain’t big enough for both of us. or is it? helminth-microbiota interactions in veterinary species. Trends Parasitol. 33, 619–632. doi: 10.1016/j.pt.2017.04.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Petkevicius, S., Thomsen, L. E., Knudsen, K. B., Murrell, K. D., Roepstorff, A., and Boes, J. (2007). The effect of inulin on new and on patent infections of Trichuris suis in growing pigs. Parasitology 134, 121–127. doi: 10.1017/S0031182006000977

PubMed Abstract | CrossRef Full Text | Google Scholar

Poppi, D. P., MacRae, J. C., Brewer, A., and Coop, R. L. (1986). Nitrogen transactions in the digestive tract of lambs exposed to the intestinal parasite Trichostrongylus colubriformis. Brit. J. Nutr. 55, 593–602. doi: 10.1079/bjn19860064

PubMed Abstract | CrossRef Full Text | Google Scholar

Portune, K. J., Beaumont, M., Davila, A. M., Davila, A. M., Tome, D., Blachier, F., et al. (2016). Gut microbiota role in dietary protein metabolism and health-related outcomes: the two sides of the coin. Trends Food Sci. Technol. 57, 213–232.

Google Scholar

Ramanan, D., Bowcutt, R., Lee, S. C., Tang, M. S., Kurtz, Z. D., Ding, Y., et al. (2016). Helminth infection promotes colonization resistance via type 2 immunity. Science 352, 608–612. doi: 10.1126/science.aaf3229

PubMed Abstract | CrossRef Full Text | Google Scholar

Reeds, P. (2000). Intestinal glutamate metabolism. J. Nutr. 130 (4S Suppl), 978S–982S.

Google Scholar

Rowe, P. B., Mccairns, E., Madsen, G., Sauer, D., and Elliott, H. (1978). De novo purine synthesis in avian liver. Co-purification of the enzymes and properties of the pathway. J. Biol. Chem. 253, 7711–7721.

Google Scholar

Roy, N. C., Bermingham, E. N., Sutherland, I. A., and Mcnabb, W. C. (2003). Nematodes and nutrient partitioning. Aust. J. Exp. Agric. 43, 1419–1426.

Google Scholar

SAS (2002). SAS/STAT§User’s Guide: Statistics. Version 9.1 Edition. Cary, NC: SAS Inc.

Google Scholar

Silva, T. P. D., Bompadre, T. F. V., Danasekaran, D. K., Gabriel, Z. K., Filho, A. L. A., Jimenez, C. R., et al. (2019). Trichostrongylus colubriformis infection: impact on digesta passage rate and lamb performance. Vet. Parasitol. 272, 17–22. doi: 10.1016/j.vetpar.2019.06.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Splichal, I., Donovan, S. M., Splichalova, Z., Bunesova, V. N., Vlkova, E., Jenistova, V., et al. (2019). Colonization of germ-free piglets with commensal Lactobacillus amylovorus, Lactobacillus mucosae, and Probiotic E. coli Nissle 1917 and their interference with Salmonella Typhimurium. Microorganisms 7:273. doi: 10.3390/microorganisms7080273

PubMed Abstract | CrossRef Full Text | Google Scholar

Tierney, J., Gowing, H., Sinderen, D. V., Flynn, S., and Mulcahy, G. (2004). In vitro inhibition of Eimeria tenella invasion by indigenous chicken Lactobacillus species. Vet. Parasitol. 122, 171–182.

Google Scholar

Tuomisto, H. (2010). A diversity of beta diversities: straightening up a concept gone awry. Part Defining beta diversity as a function of alpha and gamma diversity. Ecography 33, 2–22.

Google Scholar

Van Soest, P. J., Robertson, J. B., and Lewis, B. A. (1991). Methods for dietary fiber, neutral detergent fiber and non-starch polysaccharides in relation to animal nutrition. J. Dairy Sci. 74, 3583–3597. doi: 10.3168/jds.S0022-0302(91)78551-2

CrossRef Full Text | Google Scholar

Wang, C., Li, F., Zhang, Z., Yand, X., and Hu, M. (2017). Recent research progress in China on Haemonchus contortus. Front. Microbiol. 8:1509. doi: 10.3389/fmicb.2017.01509

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, Y., Liu, F., Urban, J. F., Paerewijck, O., Geldhof, P., and Li, R. W. (2019). Ascaris suum infection was associated with a worm-independent reduction in microbial diversity and altered metabolic potential in the porcine gut microbiome. Int. J. Parasitol. 49, 247–256. doi: 10.1016/j.ijpara.2018.10.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Whitlock, H. V. (1948). Some modifications of the McMaster helminth egg counting technique apparatus. J. Counc. Sci. Ind. Res. 21, 177–180. doi: 10.1016/j.vetpar.2021.109442

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, L., Tang, Z., Chen, H., Ren, Z., and Sun, Z. (2020). The mutual interaction between gut microbiota and protein/amino acid metabolism for host mucosal immunity and health. Anim. Nutr. 7, 11–16. doi: 10.1016/j.aninu.2020.11.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Yu, F., Bruce, L. A., Calder, A. G., Milne, E., Coop, R. L., Jackson, F., et al. (2000). Subclinical infection with the nematode Trichostrongylus colubriformis increases gastrointestinal tract leucine metabolism and reduces availability of leucine for other tissues. J. Anim. Sci. 78, 380–390. doi: 10.2527/2000.782380x

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, F., Zeng, X., Yang, F., Huang, Z., Liu, H., Ma, X., et al. (2013). Dietary N-carbamylglutamate supplementation boosts intestinal mucosal immunity in Escherichia coli challenged piglets. PLoS One 8:e66280. doi: 10.1371/journal.pone.0066280

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, H., Chen, Y. P., Li, Y., Zhang, T., Ying, Z. X., Su, W. P., et al. (2019). L-Threonine improves intestinal mucin synthesis and immune function of intrauterine growth-retarded weaning piglets. Nutrion 59, 182–187. doi: 10.1016/j.nut.2018.07.114

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, Z. W., Ma, Z. Y., Wang, H. C., and Zhang, C. F. (2021). Effects of rumen-protected methionine and lysine supplementation on milk yields and components, rumen fermentation, and the rumen microbiome in lactating yaks (Bos grunniens). Anim. Feed Sci. Technol. 277, 114972.

Google Scholar

Zúiga, M., Yebra, M. J., and Monedero, V. (2020). Complex oligosaccharide utilization pathways in Lactobacillus. Curr. Issues Mol. Biol. 40, 49–80. doi: 10.21775/cimb.040.049

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: digestion, growth performance, gastrointestinal microbiota, Haemonchus contortus, protein metabolism, sheep

Citation: Xiang H, Fang Y, Tan ZL and Zhong RZ (2022) Haemonchus contortus Infection Alters Gastrointestinal Microbial Community Composition, Protein Digestion and Amino Acid Allocations in Lambs. Front. Microbiol. 12:797746. doi: 10.3389/fmicb.2021.797746

Received: 19 October 2021; Accepted: 20 December 2021;
Published: 11 February 2022.

Edited by:

Franck Carbonero, Washington State University Health Sciences Spokane, United States

Reviewed by:

Ma. Eugenia López-Arellano, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias (INIFAP), Mexico
Cesar Bassetto, São Paulo State University, Brazil

Copyright © 2022 Xiang, Fang, Tan and Zhong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yi Fang, fangyi@iga.ac.cn; Rongzhen Zhong, zhongrongzhen@iga.ac.cn

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