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Effects of Glucagon-Like Peptide-2-Expressing Saccharomyces cerevisiae Not Different from Empty Vector
1Intensive Care Unit, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China, 2Medical School, Chengdu University, Chengdu, Sichuan 610041, P.R. China, 3Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht 6200MD, The Netherlands , 4Shenzhen Premix INVE Nutrition Co., Ltd., Shenzhen, 518103, P.R. China
Correspondence to:J. Microbiol. Biotechnol. 2019; 29(10): 1644-1655
Published October 28, 2019 https://doi.org/10.4014/jmb.1907.07006
Copyright © The Korean Society for Microbiology and Biotechnology.
Abstract
Keywords
Introduction
During the weaning stage, piglets are susceptible to infections, diarrhea, and a number of other disorders contributing to post-weaning problems, such as maldigestion and malabsorption, which are widespread health concerns in the swine industry [1, 2]. In addition to being subjected to dramatic changes in their social (
As a non-invasive and non-pathogenic eukaryote,
There is rather limited evidence to investigate the effects of the combination of recombinant milk-borne growth factors and probiotics on the intestinal microbiotas and cytokine responses in weaned piglets. Furthermore, it also has remained unclear whether either exogenous milk-borne growth factors or probiotics elicit major effects on intestinal development. Therefore, the goals of this study were to analyze the growth, serum cytokines, and fecal microbiotas of weaned piglets that were fed GLP-2-expressing
Materials and Methods
Production of a Recombinant S. cerevisiae Strain Expressing GLP-2
Animal Experiments
The animal procedures performed in this study were based on the guidelines of the China Animal Protection Association, and all of the work was approved by the Animal Care and Use Committee of West China Hospital, Sichuan University.
A total of 96 piglets weaned at 26 days of age were obtained from the Shenzhen Premix Inve Nutrition Co., Ltd., and randomly assigned to one of the following four treatments: 1) Basal diet supplemented with SC-U media (Control), 2) empty vector-harboring
The concentration of the GLP-2 protein expressed by
Sample Collection and Processing
On day 0 and day 28, one piglet from each pen was selected to collect fresh fecal samples using sterile plastic fecal loops, which were inserted into the rectum of these piglets for sampling. The collected fecal samples were subsequently placed into a sterilized 10 ml centrifuge tube and stored in liquid nitrogen until further processing.
Additionally, blood from the anterior vena cava of piglets was also sampled on days 0 and 28. The samples were subsequently centrifuged at 4,200 g for 15 min at 4°C to obtain the serum, which was stored at -80°C until further analysis.
Cytokine Assays
Serum concentrations of the porcine cytokines IL-1β, TNF-α, and IFN-γ were assessed using commercially available ELISA kits (Quantikine Porcine Immunoassays, R&D Systems, UK). The dynamic assay range of IL-1β, TNF-α, and IFN-γ was 39.10 to 2,500 pg/ml, 23.40 to 1,500 pg/ml, and 39.00 to 2,500 pg/ml, respectively. The minimum detectable dose of IL-1β, TNF-α, and IFN-γ was 13.60, 5.00, and 11.20 pg/ml, respectively.
DNA Extraction
Total DNA was extracted from fecal samples with an E.Z.N.A. Stool DNA Kit following the manufacturer’s instructions. First, an approximately 200 mg stool sample was directly weighed into an Eppendorf tube (2 ml), and 200 mg glass beads (≤ 0.10 mm) and 540 μl SLX-Mlus buffer (see in the E.Z.N.A. Stool DNA Kit) were also added. Following vortex oscillation at maximum speed for 10 min, the subsequent steps were then performed according to the E.Z.N.A. Stool DNA Kit’s instructions (Omega Bio-tek, Inc., USA). The quality of the obtained DNA was further verified via an electrophoresis analysis.
Amplification and High-throughput Sequencing
The V1-V2 region of the bacterial 16S rRNA gene was amplified from all of the fecal DNA samples obtained in this study and were sequenced on an Illumina MiSeq platform (Shanghai Personal Biotechnology Co., Ltd., China). Briefly, the V1-V2 of the 16S rRNA gene was PCR amplified using the previously described primer set 8F-338R [14]. The PCR reaction system, which was purchased from Beijing TransGen Biotech Co., Ltd. (China), was carried out in 50 μl reaction volumes containing 25 ng DNA template, 0.40 mM primer (each), 2.50 U Pfu polymerase and 0.25 mM dNTPs. The PCR thermocycling conditions used were as follows: an initial denaturation at 94°C for 4 min, followed by 25 cycles of denaturation at 94°C (30 s), annealing at 55°C (30 s), and extension at 72°C (30 s), with a final extension at 72°C for 10 min. To avoid bias, we conducted three independent PCRs for each sample.
Bioinformatics and Statistical Analyses
Raw Fastq files were demultiplexed and quality filtered using QIIME (version 1.17) according to the following criteria [15]: 1) the 250-bp reads were truncated at any site receiving an average quality score less than 20 over a 10-bp sliding window; 2) specific barcodes were exactly matched; 3) truncated reads of less than 50 bp were removed; 4) reads containing ambiguous characters were removed; 5) allowed mismatching with primers was at most 1 bp; 6) reads that could not be assembled were discarded; and 7) only sequences that overlapped by more than 10-bp were further assembled.
Operational taxonomic units (OTUs) were clustered with a 97%similarity cutoff using UPARSE (version 7.1 http://drive5.com/uparse/) and chimeric sequences were identified and removed using UCHIME. Alpha diversity indices were determined using Mothur (version v.1.30.1, http://www.mothur.org). Community diversity was evaluated by the Shannon (https://www.mothur.org/wiki/Shannon) and Simpson indices (https://www.mothur.org/wiki/Simpsonsimilar). To select OTUs that exhibited significant structural segregation among groups tested, a parametric partial least squares discriminant analysis (PLS-DA) model was generated using Simca-P+12.0 (http://www.umetrics.com/ ). Additionally, the linear discriminant analysis (LDA) effect size (LEfSe) algorithm was used to identify OTUs, and cladograms were produced using the online LEfSe tool (http://huttenhower.sph.harvard.edu/galaxy/).
The abundances of OTUs higher than 1.00% of the community were recorded as the dominant OTUs, which were subsequently sorted for comparing the differences among the treatment groups. The growth performances (
Results
Effects of the GLP-2-Expressing S. cerevisiae Strain on the Growth Performance of Weaned Piglets
By day 28, Table 1 displayed that GLP-2 supplementation increased the ADG and final BW of weaned piglets (
-
Table 1 . Growth performance of weaned piglets.
Item Control EV-SC GLP2-SC rh-GLP2 P -valueMeans ± SEM ( n =4)Initial-BW (Day 0) 6.36±0.14 6.35±0.12 6.35±0.13 6.36±0.13 0.997 Final-BW (Day 28) (kg) 13.83±0.23a 14.36±0.13a 15.24±0.39b 15.05±0.33b 0.002 ADG (g) 267±1.54a 286±1.77a 318±2.24b 311±2.07b 0.002 ADFI (g) 440±1.48a 457±1.99ab 472±1.21b 468±2.00b 0.015 F/G 1.65±0.09a 1.60±0.13ab 1.49±0.16b 1.51±0.10b 0.016 BW: body weight, ADG: average daily gain, ADFI: average daily feed intake; F/G: feed-to-gain ratio, BW: body weight.
a,bMean values within a row with different superscript letters were significantly different (
p < 0·05).
Operational Taxonomic Units (OTUs) and Alpha Diversity Analyses
The median of observed OTUs and Shannon and Simpson diversity indices were 1,188 (range: 812-1,661), 3.78 (range: 3.12-5.45), and 0.04 (range: 0.02-0.07), respectively (Figs. 1A-1C and Table S2).
-
Fig. 1. Fecal microbial diversities and bacterial compositions of weaned piglets. (
A-C ) Fecal microbial diversities (normalized to sequence reads): The median of observed OTUs (A ), Shannon diversity indices (B ), and Simpson diversity indices (C ). OTUs; (D ) Bacterial compositions at genus level. Control group: basal diet; EV-SC group: basal diet supplemented with empty vector-harboringS. cerevisiae ; GLP2-SC group: basal diet supplemented with GLP-2-expressingS. cerevisiae ; rh-GLP2 group: basal diet supplemented with recombinant human GLP-2. OTUs, operational taxonomic units; Bars (mean ± SEM,n = 4) with different letters are considered significantly different (p < 0.05).
By day 28, GLP-2 supplementation had no significant influence on the numbers of observed OTUs, Shannon diversity indices, and Simpson diversity indices (Control vs rh-GLP2; EV-SC vs GLP2-SC). Intriguingly, the results showed that weaned piglets fed with
Effects of the GLP2-Expressing S. cerevisiae on the Fecal Bacterial Community of Weaned Piglets
Population dynamics from phylum level to family level were displayed in Table S3. To gain a deeper understanding of population dynamics, the bacterial community at genus level was then analyzed in this study. First, the OTUs (Fig. 1D and Table S4) were classified into 21 bacterial genera, although only the following 11 bacterial genera had ≥ 2.0% of overall relative abundance:
On the basis of these 21 bacterial phyla, we further gained the most common core OTUs (>1.00% relative abundance in ≥80.00% of piglets) (Table 2). By days 28, 10, 13, 16, and 10 core OTUs with >1 % of the community at genus level could be identified in the Control, EV-SC, GLP2-SC and rh-GLP2 groups, respectively (Table 2). To compare the relative abundances of these core OTUs, we found that GLP-2 supplementation did not significantly change the following 9 core genera, including
-
Table 2 . Genus-level taxonomy of abundant OTUs* of fecal microbiotas in weaned piglets (
n = 4).Groups Genera of the core OTUs* of fecal microbiotas (% of piglets with OTUs) Core microbiotas Day 0 Prevotella (100),Bacteroidales_norank (100),Clostridiale_norank (100),S24-7_norank (100),Ruminococcaceae_norank (75),Paraprevotellaceae CF231 (100),Oscillospira (75)Control (Day 28) Clostridiale_norank (100),Ruminococcaceae_norank (100),Catenibacterium (100),Lachnospiraceae_norank (100),Eubacterium (100),Clostridiaceae_norank (100),Coriobacteriaceae_norank (100),Lactobacillus (100),Prevotella (75),Dorea (75)EV-SC (Day 28) Ruminococcaceae_norank (100),Clostridiale_norank (100),Lachnospiraceae_norank (100),Lactobacillus (100),Prevotella (75),Clostridiaceae_norank (100),Dorea (100),Catenibacterium (75),Ruminococcus (100),Bacteroidales_norank (100),Ruminococcus (75),S24-7_norank (75),Oscillospira (100)GLP2-SC (Day 28) Ruminococcaceae_norank (100),Catenibacterium (100),Clostridiale_norank (100),Lachnospiraceae_norank (100),Blautia (75),Clostridiaceae_norank (100),Ruminococcus (100),Erysipelotrichaceae_norank (75),Lactobacillus (100),Eubacterium (100),Dorea (100),Coprococcus (75),Prevotella (100),Ruminococcus (100),RF39_norank (100),Coriobacteriaceae_norank (75)rh-GLP2 (Day 28) Clostridiale_norank (100),Ruminococcaceae_norank (100),Clostridiaceae_norank (100),Lachnospiraceae_norank (100),Prevotella (100),Lactobacillus (100),Bacteroidales_norank (75),Catenibacterium (100),Erysipelotrichaceae_norank (100),S24-7_norank (75)*Present at >1 % relative abundance in ≥80 % of weaned piglets in each group.
-
Fig. 2. The core bacteria (at genus level) in fecal samples from weaned piglets. Bars (mean ± SEM,
n = 4) with different letters are considered significantly different (p < 0.05).
Compositional Differences of Bacterial Community
The PLS-DA, a supervised analysis method, allows for the detection of individual community differences that indicates distinctive fecal microbial communities among groups tested. By day 28, according to the relative abundance of bacterial taxa, the PLS-DA score plots among different groups showed a clear discrimination (Fig. 3). Specifically, the samples in GLP2-SC group were well separated from other groups based on the weighted UniFrac distances. Furthermore, the PLS-DA showed that the individuals fed with or without GLP-2 supplementation were also not associated with different microbiotas, but the individuals fed with or without
-
Fig. 3. PLS-DA score plots based on the relative abundance of abundant OTUs (at a 97% similarity level).
LEfSe, an effect size measurement method, was then utilized to identify dominant OTUs. By day 28, LDA (Fig. 4) showed that a total of 42 bacterial taxa differed in relative abundance (α = 0.01, LDA score > 3.0) among tested groups. To further identify core OTUs, the probabilistic modeling with the LEfSe algorithm revealed 7, 10, 21, and 3 OTUs characteristic in the Control, EV-SC, GLP2-SC, and rh-GLP2 groups, respectively (Fig. 4). Specifically, at family level, a total of six taxa were more abundant in the GLP2-SC group (
-
Fig. 4. Cladogram of bacterial biomarkers associated with phase of production (LEfSe). Taxonomic representation of statistically and biologically consistent differences among different groups tested. Differences are represented by the color of the most abundant class. The diameter of each circle is proportional to the abundance of the taxon.
Effects of the GLP-2-Expressing S. cerevisiae Strain on Cytokine Responses in Weaned Piglets
By day 28 (Fig. 5), GLP-2 supplementation had no significant effect on the levels of cytokines (
-
Fig. 5. Serum concentrations of cytokines in weaned piglets. a,b,cMean values with different letters were different (
p < 0.05) (means ± SEM,n = 8).
Correlation between the Fecal Microbial Composition and the Cytokine Response
A Spearman’s correlation analysis was performed to assess the connection between the core genera and cytokines. As revealed in Table 3, the levels of IL-1β and TNF-α were positively associated with the relative abundance of
-
Table 3 . Spearman’s correlation coefficients and relative
p -values between the relative abundances of core bacteria (genus level) and serum cytokines.IL-1β TNF-α IFN-γ Correlation coefficient p -valueCorrelation coefficient p -valueCorrelation coefficient p -valueRuminococcaceae_norank -0.79* 0.02 -0.61** <0.01 0.22 0.14 Clostridiale_norank -0.34 0.33 -0.22 0.31 0.55 0.29 Lachnospiraceae_norank 0.50** <0.01 0.57* 0.02 0.73 0.25 Catenibacterium -0.82 0.65 -0.74 0.36 0.13 0.49 Clostridiaceae_norank -0.34 0.43 -0.08 0.51 0.84 0.22 Lactobacillus 0.74 0.15 0.52 0.12 0.50 0.18 Bacteroidales_norank 0.78 0.29 0.57 0.33 -0.42 0.23 Erysipelotrichaceae_norank -0.42* 0.03 -0.25* 0.05 0.19 0.71 Dorea -0.57 0.15 -0.40 0.17 0.28 0.32 The correlation is expressed with the r coefficient.
*
p < 0.05; **p < 0.01.
Discussion
Recently, the combination of milk-borne growth factor delivery and a micro-organism approach has piqued great interest among researchers focused on post-weanling diarrhea in piglets [2, 11, 16]. Indeed, our previous finding has confirmed a diet fed to weaned rats supplemented with the recombinant GLP-2-expressing
GLP-2 Supplementation Had Better Growth of Weaned Piglets but Not Fecal Bacterial Community and Cytokine Responses
GLP-2 supplementation has not yet been employed to modify intestinal microbiotas, but most studies have primarily focused on investigating the effects of GLP-2 on the regulation of intestinal growth and functions [5, 17, 18].
For weaned piglets, GLP-2 supplementation improved their growth, and promoted the development of intestinal morphology and the activity of digestive and absorptive enzymes [4, 8, 19]. Unexpectedly, we did not observe any positive effects of GLP-2 supplementation on fecal bacterial communities and cytokine responses, although it provided for better growth. The lack of effects perhaps can be explained by GLP-2’s functions and mechanisms of action. GLP-2 is a key stimulus for inducing the gene expression of gastrointestinal proglucagon and the synthesis and secretion of proglucagon-derived peptide in the intestine [20]. Perhaps GLP-2’s functions associated with intestinal development are located in an independent manner, and do not play a role in modifying intestinal microbial community. The results of this study were consistent with the earlier findings, which indicated that the addition of other milk-borne growth factors, such as EGF, to the diet of weaned piglets also did not alter the observed overall microbial community structure and microbial diversity in the duodenum, but increased daily gain and body weight [21, 22]. Since the present study showed the lacking effect of different dosages of GLP-2 on the development of intestinal microbiotas in weaned piglets, further studies are still needed.
S. cerevisiae Supplementation Altered Fecal Bacterial Community in Weaned Piglets
As expected,
S. cerevisiae Supplementation Reduced Cytokine Responses in Weaned Piglets
Pro-inflammatory cytokines are not only primarily related to immune function, but also have the potential to alter intestinal integrity and epithelial function related to permeability and nutrient transport [28]. The overproduction of pro-inflammatory cytokines might cause pathological inflammatory response [29], therefore increased pro-inflammatory cytokines are associated with the occurrence of diarrhea induced by weaning stress [30]. To investigate the effects of
The Relationships between Cytokines and Core Genera
A Spearman’s correlation test was used for investigating the relationships between cytokines and core genera, and we found that the levels of IL-1β and TNF-α were positively associated with the relative abundance of
In conclusion, the altered fecal microbiotas and cytokine response effects in weaned piglets were due to
Supplemental Materials
Acknowledgments
This work was supported by the National Natural Science Foundation of China (31301116), and the Major Project of the Education Department in Sichuan (11ZA297).
Conflict of Interest
The authors have no financial conflicts of interest to declare.
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Related articles in JMB
Article
Research article
J. Microbiol. Biotechnol. 2019; 29(10): 1644-1655
Published online October 28, 2019 https://doi.org/10.4014/jmb.1907.07006
Copyright © The Korean Society for Microbiology and Biotechnology.
Effects of Glucagon-Like Peptide-2-Expressing Saccharomyces cerevisiae Not Different from Empty Vector
Xi Zhong 1, Guopeng Liang 1, Lili Cao 2, Qi Qiao 3, Zhi Hu 1, Min Fu 1, Bo Hong 1, Qin Wu 1, Guanlin Liang 1, Zhongwei Zhang 1* and Lin Zhou 4
1Intensive Care Unit, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China, 2Medical School, Chengdu University, Chengdu, Sichuan 610041, P.R. China, 3Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht 6200MD, The Netherlands , 4Shenzhen Premix INVE Nutrition Co., Ltd., Shenzhen, 518103, P.R. China
Correspondence to:Zhongwei Zhang
zhangzhongweihxyy@163.com
Abstract
Saccharomyces cerevisiae (S. cerevisiae) and glucagon-like peptide-2 (GLP-2) has been employed to improve weaned-animal’s intestinal development. The goal of this study was to determine whether either exogenous S. cerevisiae or GLP-2 elicits the major effects on fecal microbiotas and cytokine responses in weaned-piglets. Ninety-six piglets weaned at 26 days were assigned to one of four groups: 1) Basal diet (Control), 2) empty vector-harboring S. cerevisiae (EV-SC), 3) GLP-2-expressing S. cerevisiae (GLP2-SC), and 4) recombinant human GLP-2 (rh-GLP2). At the start of the post-weaning period (day 0), and at day 28, fecal samples were collected to assess the bacterial communities via sequencing the V1-V2 region of the 16S-rRNA gene, and piglets’ blood was also sampled to measure cytokine responses (i.e., IL-1β, TNF-α, and IFN-γ). Revealed in this study, on the one hand, although S. cerevisiae supplementation did not significantly alter the growth of weaned-piglets, it exhibited the increases in the relative abundances of two core genera (Ruminococcaceae_norank and Erysipelotrichaceae_norank) and the decreases in the relative abundances of other two core genera (Lachnospiraceae_norank and Clostridiale_norank) and cytokine levels (IL-1β and TNF-α) (P < 0.05, Control vs EV-SC; P < 0.05, rh-GLP2 vs GLP2-SC). On the other hand, GLP-2 supplementation had no significant influence on fecal bacterial communities and cytokine levels, but it had better body weight and average daily gain (P < 0.05, Control vs EV-SC; P < 0.05, rh-GLP2 vs GLP2-SC). Herein, altered the fecal microbiotas and cytokine response effects in weaned-piglets was due to S. cerevisiae rather than GLP-2.
Keywords: Sus scrofa, weaned piglets, Saccharomyces cerevisiae, glucagon-like peptide-2, fecal microbiota
Introduction
During the weaning stage, piglets are susceptible to infections, diarrhea, and a number of other disorders contributing to post-weaning problems, such as maldigestion and malabsorption, which are widespread health concerns in the swine industry [1, 2]. In addition to being subjected to dramatic changes in their social (
As a non-invasive and non-pathogenic eukaryote,
There is rather limited evidence to investigate the effects of the combination of recombinant milk-borne growth factors and probiotics on the intestinal microbiotas and cytokine responses in weaned piglets. Furthermore, it also has remained unclear whether either exogenous milk-borne growth factors or probiotics elicit major effects on intestinal development. Therefore, the goals of this study were to analyze the growth, serum cytokines, and fecal microbiotas of weaned piglets that were fed GLP-2-expressing
Materials and Methods
Production of a Recombinant S. cerevisiae Strain Expressing GLP-2
Animal Experiments
The animal procedures performed in this study were based on the guidelines of the China Animal Protection Association, and all of the work was approved by the Animal Care and Use Committee of West China Hospital, Sichuan University.
A total of 96 piglets weaned at 26 days of age were obtained from the Shenzhen Premix Inve Nutrition Co., Ltd., and randomly assigned to one of the following four treatments: 1) Basal diet supplemented with SC-U media (Control), 2) empty vector-harboring
The concentration of the GLP-2 protein expressed by
Sample Collection and Processing
On day 0 and day 28, one piglet from each pen was selected to collect fresh fecal samples using sterile plastic fecal loops, which were inserted into the rectum of these piglets for sampling. The collected fecal samples were subsequently placed into a sterilized 10 ml centrifuge tube and stored in liquid nitrogen until further processing.
Additionally, blood from the anterior vena cava of piglets was also sampled on days 0 and 28. The samples were subsequently centrifuged at 4,200 g for 15 min at 4°C to obtain the serum, which was stored at -80°C until further analysis.
Cytokine Assays
Serum concentrations of the porcine cytokines IL-1β, TNF-α, and IFN-γ were assessed using commercially available ELISA kits (Quantikine Porcine Immunoassays, R&D Systems, UK). The dynamic assay range of IL-1β, TNF-α, and IFN-γ was 39.10 to 2,500 pg/ml, 23.40 to 1,500 pg/ml, and 39.00 to 2,500 pg/ml, respectively. The minimum detectable dose of IL-1β, TNF-α, and IFN-γ was 13.60, 5.00, and 11.20 pg/ml, respectively.
DNA Extraction
Total DNA was extracted from fecal samples with an E.Z.N.A. Stool DNA Kit following the manufacturer’s instructions. First, an approximately 200 mg stool sample was directly weighed into an Eppendorf tube (2 ml), and 200 mg glass beads (≤ 0.10 mm) and 540 μl SLX-Mlus buffer (see in the E.Z.N.A. Stool DNA Kit) were also added. Following vortex oscillation at maximum speed for 10 min, the subsequent steps were then performed according to the E.Z.N.A. Stool DNA Kit’s instructions (Omega Bio-tek, Inc., USA). The quality of the obtained DNA was further verified via an electrophoresis analysis.
Amplification and High-throughput Sequencing
The V1-V2 region of the bacterial 16S rRNA gene was amplified from all of the fecal DNA samples obtained in this study and were sequenced on an Illumina MiSeq platform (Shanghai Personal Biotechnology Co., Ltd., China). Briefly, the V1-V2 of the 16S rRNA gene was PCR amplified using the previously described primer set 8F-338R [14]. The PCR reaction system, which was purchased from Beijing TransGen Biotech Co., Ltd. (China), was carried out in 50 μl reaction volumes containing 25 ng DNA template, 0.40 mM primer (each), 2.50 U Pfu polymerase and 0.25 mM dNTPs. The PCR thermocycling conditions used were as follows: an initial denaturation at 94°C for 4 min, followed by 25 cycles of denaturation at 94°C (30 s), annealing at 55°C (30 s), and extension at 72°C (30 s), with a final extension at 72°C for 10 min. To avoid bias, we conducted three independent PCRs for each sample.
Bioinformatics and Statistical Analyses
Raw Fastq files were demultiplexed and quality filtered using QIIME (version 1.17) according to the following criteria [15]: 1) the 250-bp reads were truncated at any site receiving an average quality score less than 20 over a 10-bp sliding window; 2) specific barcodes were exactly matched; 3) truncated reads of less than 50 bp were removed; 4) reads containing ambiguous characters were removed; 5) allowed mismatching with primers was at most 1 bp; 6) reads that could not be assembled were discarded; and 7) only sequences that overlapped by more than 10-bp were further assembled.
Operational taxonomic units (OTUs) were clustered with a 97%similarity cutoff using UPARSE (version 7.1 http://drive5.com/uparse/) and chimeric sequences were identified and removed using UCHIME. Alpha diversity indices were determined using Mothur (version v.1.30.1, http://www.mothur.org). Community diversity was evaluated by the Shannon (https://www.mothur.org/wiki/Shannon) and Simpson indices (https://www.mothur.org/wiki/Simpsonsimilar). To select OTUs that exhibited significant structural segregation among groups tested, a parametric partial least squares discriminant analysis (PLS-DA) model was generated using Simca-P+12.0 (http://www.umetrics.com/ ). Additionally, the linear discriminant analysis (LDA) effect size (LEfSe) algorithm was used to identify OTUs, and cladograms were produced using the online LEfSe tool (http://huttenhower.sph.harvard.edu/galaxy/).
The abundances of OTUs higher than 1.00% of the community were recorded as the dominant OTUs, which were subsequently sorted for comparing the differences among the treatment groups. The growth performances (
Results
Effects of the GLP-2-Expressing S. cerevisiae Strain on the Growth Performance of Weaned Piglets
By day 28, Table 1 displayed that GLP-2 supplementation increased the ADG and final BW of weaned piglets (
-
Table 1 . Growth performance of weaned piglets..
Item Control EV-SC GLP2-SC rh-GLP2 P -valueMeans ± SEM ( n =4)Initial-BW (Day 0) 6.36±0.14 6.35±0.12 6.35±0.13 6.36±0.13 0.997 Final-BW (Day 28) (kg) 13.83±0.23a 14.36±0.13a 15.24±0.39b 15.05±0.33b 0.002 ADG (g) 267±1.54a 286±1.77a 318±2.24b 311±2.07b 0.002 ADFI (g) 440±1.48a 457±1.99ab 472±1.21b 468±2.00b 0.015 F/G 1.65±0.09a 1.60±0.13ab 1.49±0.16b 1.51±0.10b 0.016 BW: body weight, ADG: average daily gain, ADFI: average daily feed intake; F/G: feed-to-gain ratio, BW: body weight..
a,bMean values within a row with different superscript letters were significantly different (
p < 0·05)..
Operational Taxonomic Units (OTUs) and Alpha Diversity Analyses
The median of observed OTUs and Shannon and Simpson diversity indices were 1,188 (range: 812-1,661), 3.78 (range: 3.12-5.45), and 0.04 (range: 0.02-0.07), respectively (Figs. 1A-1C and Table S2).
-
Figure 1. Fecal microbial diversities and bacterial compositions of weaned piglets. (
A-C ) Fecal microbial diversities (normalized to sequence reads): The median of observed OTUs (A ), Shannon diversity indices (B ), and Simpson diversity indices (C ). OTUs; (D ) Bacterial compositions at genus level. Control group: basal diet; EV-SC group: basal diet supplemented with empty vector-harboringS. cerevisiae ; GLP2-SC group: basal diet supplemented with GLP-2-expressingS. cerevisiae ; rh-GLP2 group: basal diet supplemented with recombinant human GLP-2. OTUs, operational taxonomic units; Bars (mean ± SEM,n = 4) with different letters are considered significantly different (p < 0.05).
By day 28, GLP-2 supplementation had no significant influence on the numbers of observed OTUs, Shannon diversity indices, and Simpson diversity indices (Control vs rh-GLP2; EV-SC vs GLP2-SC). Intriguingly, the results showed that weaned piglets fed with
Effects of the GLP2-Expressing S. cerevisiae on the Fecal Bacterial Community of Weaned Piglets
Population dynamics from phylum level to family level were displayed in Table S3. To gain a deeper understanding of population dynamics, the bacterial community at genus level was then analyzed in this study. First, the OTUs (Fig. 1D and Table S4) were classified into 21 bacterial genera, although only the following 11 bacterial genera had ≥ 2.0% of overall relative abundance:
On the basis of these 21 bacterial phyla, we further gained the most common core OTUs (>1.00% relative abundance in ≥80.00% of piglets) (Table 2). By days 28, 10, 13, 16, and 10 core OTUs with >1 % of the community at genus level could be identified in the Control, EV-SC, GLP2-SC and rh-GLP2 groups, respectively (Table 2). To compare the relative abundances of these core OTUs, we found that GLP-2 supplementation did not significantly change the following 9 core genera, including
-
Table 2 . Genus-level taxonomy of abundant OTUs* of fecal microbiotas in weaned piglets (
n = 4)..Groups Genera of the core OTUs* of fecal microbiotas (% of piglets with OTUs) Core microbiotas Day 0 Prevotella (100),Bacteroidales_norank (100),Clostridiale_norank (100),S24-7_norank (100),Ruminococcaceae_norank (75),Paraprevotellaceae CF231 (100),Oscillospira (75)Control (Day 28) Clostridiale_norank (100),Ruminococcaceae_norank (100),Catenibacterium (100),Lachnospiraceae_norank (100),Eubacterium (100),Clostridiaceae_norank (100),Coriobacteriaceae_norank (100),Lactobacillus (100),Prevotella (75),Dorea (75)EV-SC (Day 28) Ruminococcaceae_norank (100),Clostridiale_norank (100),Lachnospiraceae_norank (100),Lactobacillus (100),Prevotella (75),Clostridiaceae_norank (100),Dorea (100),Catenibacterium (75),Ruminococcus (100),Bacteroidales_norank (100),Ruminococcus (75),S24-7_norank (75),Oscillospira (100)GLP2-SC (Day 28) Ruminococcaceae_norank (100),Catenibacterium (100),Clostridiale_norank (100),Lachnospiraceae_norank (100),Blautia (75),Clostridiaceae_norank (100),Ruminococcus (100),Erysipelotrichaceae_norank (75),Lactobacillus (100),Eubacterium (100),Dorea (100),Coprococcus (75),Prevotella (100),Ruminococcus (100),RF39_norank (100),Coriobacteriaceae_norank (75)rh-GLP2 (Day 28) Clostridiale_norank (100),Ruminococcaceae_norank (100),Clostridiaceae_norank (100),Lachnospiraceae_norank (100),Prevotella (100),Lactobacillus (100),Bacteroidales_norank (75),Catenibacterium (100),Erysipelotrichaceae_norank (100),S24-7_norank (75)*Present at >1 % relative abundance in ≥80 % of weaned piglets in each group..
-
Figure 2. The core bacteria (at genus level) in fecal samples from weaned piglets. Bars (mean ± SEM,
n = 4) with different letters are considered significantly different (p < 0.05).
Compositional Differences of Bacterial Community
The PLS-DA, a supervised analysis method, allows for the detection of individual community differences that indicates distinctive fecal microbial communities among groups tested. By day 28, according to the relative abundance of bacterial taxa, the PLS-DA score plots among different groups showed a clear discrimination (Fig. 3). Specifically, the samples in GLP2-SC group were well separated from other groups based on the weighted UniFrac distances. Furthermore, the PLS-DA showed that the individuals fed with or without GLP-2 supplementation were also not associated with different microbiotas, but the individuals fed with or without
-
Figure 3. PLS-DA score plots based on the relative abundance of abundant OTUs (at a 97% similarity level).
LEfSe, an effect size measurement method, was then utilized to identify dominant OTUs. By day 28, LDA (Fig. 4) showed that a total of 42 bacterial taxa differed in relative abundance (α = 0.01, LDA score > 3.0) among tested groups. To further identify core OTUs, the probabilistic modeling with the LEfSe algorithm revealed 7, 10, 21, and 3 OTUs characteristic in the Control, EV-SC, GLP2-SC, and rh-GLP2 groups, respectively (Fig. 4). Specifically, at family level, a total of six taxa were more abundant in the GLP2-SC group (
-
Figure 4. Cladogram of bacterial biomarkers associated with phase of production (LEfSe). Taxonomic representation of statistically and biologically consistent differences among different groups tested. Differences are represented by the color of the most abundant class. The diameter of each circle is proportional to the abundance of the taxon.
Effects of the GLP-2-Expressing S. cerevisiae Strain on Cytokine Responses in Weaned Piglets
By day 28 (Fig. 5), GLP-2 supplementation had no significant effect on the levels of cytokines (
-
Figure 5. Serum concentrations of cytokines in weaned piglets. a,b,cMean values with different letters were different (
p < 0.05) (means ± SEM,n = 8).
Correlation between the Fecal Microbial Composition and the Cytokine Response
A Spearman’s correlation analysis was performed to assess the connection between the core genera and cytokines. As revealed in Table 3, the levels of IL-1β and TNF-α were positively associated with the relative abundance of
-
Table 3 . Spearman’s correlation coefficients and relative
p -values between the relative abundances of core bacteria (genus level) and serum cytokines..IL-1β TNF-α IFN-γ Correlation coefficient p -valueCorrelation coefficient p -valueCorrelation coefficient p -valueRuminococcaceae_norank -0.79* 0.02 -0.61** <0.01 0.22 0.14 Clostridiale_norank -0.34 0.33 -0.22 0.31 0.55 0.29 Lachnospiraceae_norank 0.50** <0.01 0.57* 0.02 0.73 0.25 Catenibacterium -0.82 0.65 -0.74 0.36 0.13 0.49 Clostridiaceae_norank -0.34 0.43 -0.08 0.51 0.84 0.22 Lactobacillus 0.74 0.15 0.52 0.12 0.50 0.18 Bacteroidales_norank 0.78 0.29 0.57 0.33 -0.42 0.23 Erysipelotrichaceae_norank -0.42* 0.03 -0.25* 0.05 0.19 0.71 Dorea -0.57 0.15 -0.40 0.17 0.28 0.32 The correlation is expressed with the r coefficient..
*
p < 0.05; **p < 0.01..
Discussion
Recently, the combination of milk-borne growth factor delivery and a micro-organism approach has piqued great interest among researchers focused on post-weanling diarrhea in piglets [2, 11, 16]. Indeed, our previous finding has confirmed a diet fed to weaned rats supplemented with the recombinant GLP-2-expressing
GLP-2 Supplementation Had Better Growth of Weaned Piglets but Not Fecal Bacterial Community and Cytokine Responses
GLP-2 supplementation has not yet been employed to modify intestinal microbiotas, but most studies have primarily focused on investigating the effects of GLP-2 on the regulation of intestinal growth and functions [5, 17, 18].
For weaned piglets, GLP-2 supplementation improved their growth, and promoted the development of intestinal morphology and the activity of digestive and absorptive enzymes [4, 8, 19]. Unexpectedly, we did not observe any positive effects of GLP-2 supplementation on fecal bacterial communities and cytokine responses, although it provided for better growth. The lack of effects perhaps can be explained by GLP-2’s functions and mechanisms of action. GLP-2 is a key stimulus for inducing the gene expression of gastrointestinal proglucagon and the synthesis and secretion of proglucagon-derived peptide in the intestine [20]. Perhaps GLP-2’s functions associated with intestinal development are located in an independent manner, and do not play a role in modifying intestinal microbial community. The results of this study were consistent with the earlier findings, which indicated that the addition of other milk-borne growth factors, such as EGF, to the diet of weaned piglets also did not alter the observed overall microbial community structure and microbial diversity in the duodenum, but increased daily gain and body weight [21, 22]. Since the present study showed the lacking effect of different dosages of GLP-2 on the development of intestinal microbiotas in weaned piglets, further studies are still needed.
S. cerevisiae Supplementation Altered Fecal Bacterial Community in Weaned Piglets
As expected,
S. cerevisiae Supplementation Reduced Cytokine Responses in Weaned Piglets
Pro-inflammatory cytokines are not only primarily related to immune function, but also have the potential to alter intestinal integrity and epithelial function related to permeability and nutrient transport [28]. The overproduction of pro-inflammatory cytokines might cause pathological inflammatory response [29], therefore increased pro-inflammatory cytokines are associated with the occurrence of diarrhea induced by weaning stress [30]. To investigate the effects of
The Relationships between Cytokines and Core Genera
A Spearman’s correlation test was used for investigating the relationships between cytokines and core genera, and we found that the levels of IL-1β and TNF-α were positively associated with the relative abundance of
In conclusion, the altered fecal microbiotas and cytokine response effects in weaned piglets were due to
Supplemental Materials
Acknowledgments
This work was supported by the National Natural Science Foundation of China (31301116), and the Major Project of the Education Department in Sichuan (11ZA297).
Conflict of Interest
The authors have no financial conflicts of interest to declare.
Fig 1.
Fig 2.
Fig 3.
Fig 4.
Fig 5.
-
Table 1 . Growth performance of weaned piglets..
Item Control EV-SC GLP2-SC rh-GLP2 P -valueMeans ± SEM ( n =4)Initial-BW (Day 0) 6.36±0.14 6.35±0.12 6.35±0.13 6.36±0.13 0.997 Final-BW (Day 28) (kg) 13.83±0.23a 14.36±0.13a 15.24±0.39b 15.05±0.33b 0.002 ADG (g) 267±1.54a 286±1.77a 318±2.24b 311±2.07b 0.002 ADFI (g) 440±1.48a 457±1.99ab 472±1.21b 468±2.00b 0.015 F/G 1.65±0.09a 1.60±0.13ab 1.49±0.16b 1.51±0.10b 0.016 BW: body weight, ADG: average daily gain, ADFI: average daily feed intake; F/G: feed-to-gain ratio, BW: body weight..
a,bMean values within a row with different superscript letters were significantly different (
p < 0·05)..
-
Table 2 . Genus-level taxonomy of abundant OTUs* of fecal microbiotas in weaned piglets (
n = 4)..Groups Genera of the core OTUs* of fecal microbiotas (% of piglets with OTUs) Core microbiotas Day 0 Prevotella (100),Bacteroidales_norank (100),Clostridiale_norank (100),S24-7_norank (100),Ruminococcaceae_norank (75),Paraprevotellaceae CF231 (100),Oscillospira (75)Control (Day 28) Clostridiale_norank (100),Ruminococcaceae_norank (100),Catenibacterium (100),Lachnospiraceae_norank (100),Eubacterium (100),Clostridiaceae_norank (100),Coriobacteriaceae_norank (100),Lactobacillus (100),Prevotella (75),Dorea (75)EV-SC (Day 28) Ruminococcaceae_norank (100),Clostridiale_norank (100),Lachnospiraceae_norank (100),Lactobacillus (100),Prevotella (75),Clostridiaceae_norank (100),Dorea (100),Catenibacterium (75),Ruminococcus (100),Bacteroidales_norank (100),Ruminococcus (75),S24-7_norank (75),Oscillospira (100)GLP2-SC (Day 28) Ruminococcaceae_norank (100),Catenibacterium (100),Clostridiale_norank (100),Lachnospiraceae_norank (100),Blautia (75),Clostridiaceae_norank (100),Ruminococcus (100),Erysipelotrichaceae_norank (75),Lactobacillus (100),Eubacterium (100),Dorea (100),Coprococcus (75),Prevotella (100),Ruminococcus (100),RF39_norank (100),Coriobacteriaceae_norank (75)rh-GLP2 (Day 28) Clostridiale_norank (100),Ruminococcaceae_norank (100),Clostridiaceae_norank (100),Lachnospiraceae_norank (100),Prevotella (100),Lactobacillus (100),Bacteroidales_norank (75),Catenibacterium (100),Erysipelotrichaceae_norank (100),S24-7_norank (75)*Present at >1 % relative abundance in ≥80 % of weaned piglets in each group..
-
Table 3 . Spearman’s correlation coefficients and relative
p -values between the relative abundances of core bacteria (genus level) and serum cytokines..IL-1β TNF-α IFN-γ Correlation coefficient p -valueCorrelation coefficient p -valueCorrelation coefficient p -valueRuminococcaceae_norank -0.79* 0.02 -0.61** <0.01 0.22 0.14 Clostridiale_norank -0.34 0.33 -0.22 0.31 0.55 0.29 Lachnospiraceae_norank 0.50** <0.01 0.57* 0.02 0.73 0.25 Catenibacterium -0.82 0.65 -0.74 0.36 0.13 0.49 Clostridiaceae_norank -0.34 0.43 -0.08 0.51 0.84 0.22 Lactobacillus 0.74 0.15 0.52 0.12 0.50 0.18 Bacteroidales_norank 0.78 0.29 0.57 0.33 -0.42 0.23 Erysipelotrichaceae_norank -0.42* 0.03 -0.25* 0.05 0.19 0.71 Dorea -0.57 0.15 -0.40 0.17 0.28 0.32 The correlation is expressed with the r coefficient..
*
p < 0.05; **p < 0.01..
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