Bacillus amyloliquefaciens and Saccharomyces cerevisiae feed supplements improve growth performance and gut mucosal architecture with modulations on cecal microbiota in red-feathered native chickens

Article information

Anim Biosci. 2022;35(6):869-883
Publication date (electronic) : 2022 January 3
doi : https://doi.org/10.5713/ab.21.0318
1Department of Animal Science, National Chung Hsing University, Taichung, 402, Taiwan
2The iEGG and Animal Biotechnology Center, National Chung Hsing University, Taichung, 402, Taiwan
3Department of Veterinary Medicine, School of Veterinary Medicine, National Taiwan University, Taipei City 106, Taiwan
4Zoonoses Research Center and School of Veterinary Medicine, National Taiwan University, Taipei City, 106, Taiwan
5Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, P.O. Box 6100, Mississippi State, MS 39762, USA
*Corresponding Author: Wen-Yuan Yang, Tel: +886-02-33663861, E-mail: wenyuanyang108@ntu.edu.tw
aThese authors contributed equally to this work.
Received 2021 July 15; Revised 2021 September 23; Accepted 2021 November 6.

Abstract

Objective

The aim of study was to investigate the effects of in-feed supplementation of Bacillus amyloliquefaciens (BA) and Saccharomyces cerevisiae (SC) on growth performance, gut integrity, and microbiota modulations in red-feathered native chickens (RFCs).

Methods

A total of 18,000 RFCs in a commercial farm were evenly assigned into two dietary treatments (control diet; 0.05% BA and 0.05% SC) by randomization and raised for 11 weeks in two separate houses. Fifty RFCs in each group were randomly selected and raised in the original house with the partition for performance evaluations at the age of 9 and 11 weeks. Six non-partitioned RFCs per group were randomly selected for analyses of intestinal architecture and 16S rRNA metagenomics.

Results

Feeding BA and SC increased the body weight and body weight gain, significantly at the age of 11 weeks (p<0.05). The villus height/crypt ratio in the small intestines and Firmicutes to Bacteroidetes ratio were also notably increased (p<0.05). The supplementation did not disturb the microbial community structure but promote the featured microbial shifts characterized by the significant increments of Bernesiella, Prevotellaceae_NK3B31_group, and Butyrucimonas, following remarkable decrements of Bacteroides, Rikenellaceae_RC9_gut_group, and Succinatimonas in RFCs with growth benefits. Besides, functional pathways of peptidoglycan biosynthesis, nucleotide excision repair, glycolysis/gluconeogenesis, and aminoacyl transfer ribonucleic acid (tRNA) biosynthesis were significantly promoted (p< 0.05).

Conclusion

In-feed supplementation of BA and SC enhanced the growth performance, improved mucosal architectures in small intestines, and modulated the cecal microbiota and metabolic pathways in RFCs.

INTRODUCTION

Native chickens dominate the meat-type chicken market in Taiwan and Asian countries based on the culture of consumption and demands for traditional tastes. A popular breed known as red-feathered native chicken (RFC) is adopted to increase the resistance of heat stress and the desirable efficiency on body weight gain (BWG) when compared to other native chickens [1]. However, the long raising period of 12 to 14 weeks lowers the competitiveness in the market when compared to commercial broilers. Therefore, the industry seeks methodologies to improve the growth performance and feed efficiency of RFCs for competitive advantages in the market.

The health status of the gut determined the feed intake and the efficient assimilation of nutrients, thereafter, influencing the growth performance and poultry production. It is evident that the gut microbiota plays a crucial role in the maintenance of gut health, immune modulation, and disease development in chickens [2]. Based on the concerns about antimicrobial resistance, the use of antibiotic growth promoters (AGPs) for sustaining gut health in poultry has been prohibited, promoting the emerge of enteric diseases. Various alternatives to AGPs, such as direct-fed microbial (DFM), were studied and demonstrated to improve the overall gut health and growth performance in chickens [3,4].

Due to the health-promoting benefits and the ability to survive in harsh environmental conditions, the use of Bacillus as an AGP alternative has grown in popularity in recent years. Several studies showed that Bacillus amyloliquefaciens (BA) enhanced the digestion and absorption efficiency in the gut through secreted extracellular enzymes, including α-amylases, cellulase, metalloproteases, and proteases to promote gut health and growth performance [3,5]. Furthermore, the use of BA showed some modulations on cecal microbiota [5,6] and partial alleviation effects on compromised growth performance [7], indicating that the growth benefits may result from the interactions of gut microbiota in the host. Nonetheless, different species or strains of BA have shown different results, leading to inconsistent results on broiler growth performance [8,9].

Saccharomyces cerevisiae (SC) is a type of yeast extensively used in diets to improve health and productivity for various animal species. It was documented to confer beneficial effects on metabolic processes of digestion and nutrient utilization, health status, and the meat quality in broilers [10]. Besides, SC that carries mannanoligosaccharide (MOS) in the cell wall as a natural prebiotic that promotes the growth of beneficial microflora and inhibits the multiplication of gut pathogens [11]. The MOS has been shown to enhance feed efficiency on growth performance in poultry, including body weight (BW), feed intake, and feed conversion rate (FCR) [12].

Animal metabolism involves the interactions of different pathways that are modulated by the host’s gut microbiota [6]. They are regulated through microbial interactions and a range of metabolites produced by the microbial community members or the transformations from host molecules or diets [13]. Although different gut segments contribute to designated functions in the host, the ceca harbor the most diverse microbial communities for energy harvest and nutrient digestion, affecting gut health and growth performance of chickens [2,14]. Small intestines and ceca play crucial roles in nutrient absorption and energy harvest. On the other side, different probiotic species or strains that act on distinct sites, provide various modes of action, or exert varying levels of protective efficiency can generate synergistic effects [15]. Therefore, the utilization of multi-species or multi-strains probiotics can be beneficial for field applications. The purpose of this study was to evaluate the effects of BA and SC on growth performance, expecting to shorten the raising period in the field practice, and the correlation of the performance with the small intestinal improvement and cecal microbiota modulation at the field level, elucidating the mechanisms of this mixture to manipulate the intestinal environment in RFCs.

MATERIALS AND METHODS

Animal care

The procedure and animals used in this experiment were approved by the Animal Care and Use Committee of National Chung Hsing University, Taiwan (IACUC No. 107-014).

Experimental design and diets

A total of 18,000 one-day-old male and female RFCs from commercial hatcheries were randomly and evenly assigned into two groups: experimental and control groups and placed in two separate houses with nets to avoid contact with wild birds. Afterward, fifty RFCs in each group were randomly selected and raised in the original house with the partition. Since RFCs were native chicken with a raising period of 12 to 14 weeks, the comparisons of performance were conducted at the time near marketing, setting to the age of 9 and 11 weeks. The end of the experiment was set to the time that RFCs reached the average BW of 2.4 kg required for marketing. All RFCs were raised in floor pens with wood shavings as litter and vaccinated against Infectious bronchitis, Newcastle disease, Chicken pox, Infectious bursal disease, Infectious coryza, and Infectious laryngotracheitis. The RFCs within the control group were fed a formulated corn-soybean-based (control) diet with no addiction, whereas the same control diets supplementing with the mixture of 0.05% BA and 0.05% SC were applied in the experimental group. The water and feed were provided ad libitum throughout the entire experiment. From week 1 to 3, weeks 3 to 6, weeks 7 to the end of the experiment, RFCs received the starter diets, grower diets, and finisher diets, respectively. Ingredients and nutrient levels of the control diet are described in Table 1.

Ingredients and composition of the control diets

Strains and feed preparation

The BA Y2 and SC C1 strains were selected and applied as feed additives. They were kindly provided by Prof. Tzu-Tai Lee at National Chung Hsing University, isolated from feeds and wine grains, respectively. The BA Y2 and SC C1 were reactivated on lysogeny broth (LB) agar and yeast-mald (YM) agar at 37°C for 48 hours, respectively. Single colonies of BA Y2 and SC C1 were collected and inoculated into 10 mL LB and 10 mL YM and then incubated at 37°C for 24 hours. The cultured broth of BA Y2 or SC C1 was added into 90 mL LB or YM fresh broth for another cultivation of 24 hours at 37°C. Afterward, large-scaling culture through liquid fermentation was performed by the company at 37°C with 160 rpm for 24 hours. Powders of BA Y2 and SC C1 strains with a concentration of 109 colony-forming unit (CFU)/g were obtained after freeze-drying. The BA Y2 and SC C1 were then mixed with a ratio of 1:1. The 0.5 kg of BA power with a concentration of 109 CFU/g was mixed with 0.5 kg of SC powder with a concentration of 109 CFU/g. One kilogram of the mixture was added into one ton of the control diet to form the experimental diet with 0.05% BA (5×106 CFU/kg feed) and 0.05% SC (5×106 CFU/kg feed).

Evaluation of growth performance and intestinal villi morphology

The parameters of BW and BWG were applied to evaluate the growth performance by supplementation of BA and SC. The villus height, crypt depth villus, and villus height/crypt depth ratio (V/C ratio) in small intestines were measured to assess intestinal health for nutrient absorption. An increment of the V/C ratio was considered as an improvement of nutrient absorption. The BW and BWG were calculated from 50 RFCs within the partition per group at the times of 9 and 11 weeks, respectively. The FCR was calculated from the total amount of feed consumption by the total weight gain from all RFCs in each group. For histological evaluation of morphology in small intestines, six RFCs per group were randomly selected from non-partitioned RFCs in the house and euthanized at the age of 9 and 11 weeks. Jejunal and ileal segments were removed from the midway between the entry of the bile ducts and Meckel’s diverticulum and 10 cm proximal to the ileocecal junction. Jejunal and ileal segments with a length of approximately 2 to 3 cm were collected into 10% sodium phosphate-buffered formalin. The samples were cross-sectioned at 4 mm intervals and processed to paraffin-embedded blocks. The segments were cut at 4 to 5 μm and stained with hematoxylin and eosin for histological examinations. The measurements of villus height were conducted under the optical microscope. The length of the villus from the tip to the villus-crypt junction was recorded using Motic Image Plus 2.0 software (Microscope World, Carlsbad, CA, USA). The depth of the invagination between adjacent villi was determined as crypt depth. Twenty well-oriented and intact crypt-villus units from an intestinal cross-section of one chicken were selected. The average values of villus heights and crypt depths were calculated for the V/C ratio.

16S rRNA pyrosequencing

Six RFCs per group were randomly selected and euthanized from non-partitioned RFCs in the house by CO2 at the age of 4, 7, 9, and 11 weeks, respectively, to collect cecal contents through manual extrusion for 16S rRNA metagenomics analysis. The cecal contents from the control group were designated as W4.CC, W7.CC, W9.CC, and W11.CC based on the age of collections. The W4.PC, W7.PC, W9.PC, and W11.PC represented cecal contents from the experimental group collected at the age of 4, 7, 9, and 11 weeks. Cecal contents were placed in dry ice immediately when they were collected from chickens. Total genomic DNA was isolated from 150 mg of cecal contents using a Quick-DNA Fecal/Soil Microbe Miniprep Kit (Zymo Research, Irvine, CA, USA) following the manufacturer’s instructions. The sequencing of 16S rRNA was performed using HiSeq 2500 platform (Illumina, San Diego, CA, USA). The variable V3–V4 region of the 16S rRNA gene was PCR-amplified in a 25 Ml reaction mixture containing 12.5 μL 2X KAPA HiFi HotStart ReadyMix (Roche, Pleasanton, CA, USA), 0.75 μL of each 10 μm Illumina primer (forward primer-5′CCTA CGGGNGGCWGCAG 3′ and reverse primer-5′ GACTA CHVGGGTATCTAATCC 3′) with standard adapter sequences, and 1 μL of DNA template. The polymerase chain reaction (PCR) conditions were as follows: initial denaturation at 95°C for 3 minutes, 25 cycles of 95°C for 30 seconds, 55°C for 30 seconds, and 72°C for 30 seconds, and then final extension at 72°C for 5 minutes. After the clean-up of the amplicons, the index PCR was conducted by using a Nextera XT Index Kit (Illumina, San Diego, CA, USA) to attach a unique 8-bp barcode sequence to the adapters. The PCR products were purified and measured for the size and concentration by a Qsep100TM capillary electrophoresis system (BiOptic Inc., New Taipei City, Taiwan) and a Qubit 4.0 Fluorometer with Qubit dsDNA HS Assay Kit (Fisher Scientific, Waltham, MA, USA). The libraries were normalized, pooled to one tube with a final concentration of 10 pM, and sequenced on a MiSeq System using Illumina MiSeq Reagent Kit v3 (2×300 bp paired-end run).

Data processing and statistical analysis

Paired-end sequences were merged through fast length adjustment of short reads (FLASH) v1.2.11 to obtain raw tags. Raw tags were de-multiplexed and filtered by Quantitative Insights into Microbial Ecology (Qiime) software v1.9.1 with the default quality criteria and a threshold Phred quality score of Q≥20 to have clean tags. Effective tags were obtained by filtering out and checking chimeric sequences through the UCHIME algorithm and Gold database. The operational taxonomic units (OTUs) were classified from effective tags by the 97% similarity of sequences using the UPARSE algorithm in USEARCH. The taxonomy-based analysis was conducted by RDP Classifier v2.11 with a cut-off of 80%, determining the matched taxon in the Silva v132 database. The diversities and statistical analyses for taxonomic profile differences were performed by Qiime v1.9.1, R v.3.3.1 (http://www.R-project.org/) with metagenomeSeq package, and Statistical Analysis Metagenomic Profiles (STAMP) software v2.1.3 with Welch’s t-test. The p-value was set to 0.05 for statistical significance. An algorithm for high-dimensional class comparisons between biological conditions, linear discriminant analysis effect size (LEfSe; http://huttenhower.sph.harvard.edu/lefse/), was conducted to determine the significant feature taxa between groups with linear discriminant analysis (LDA) scores of 3.5. Tax4Fun package in R v.3.3.1 was performed to blast the unigenes against the Kyoto encyclopedia of genes and genomes (KEGG) database for the prediction of functional pathways. The annotation information of KEGG Orthology (KO) from the KEGG database was acquired based on the relative abundance profile. The differential function pathway between BA+SC and the control group was determined at level 3.

Significant differences in BW, BWG, villus height, crypt depth, and V/C ratio between the control and experimental groups were determined by using SAS software version 9.4 (SAS Institute, Inc., Cary, NC, USA). Data of 16S rRNA metagenomics was subjected to R for analysis. Statements of statistical significance were based on the level of p<0.05.

RESULTS

Beneficial effects of BA and SC on growth performance

The effects of supplementing BA Y2 and SC C1 strains in feed on growth performance are shown in Table 2. The BW and BWG were significantly increased (p<0.05) in RFCs fed with BA and SC at the age of 11 weeks, facilitating these chickens to reach the BW required for marketing (2.4 kg). The lower value of overall FCR in the experimental group when compared to the control group was noted at the age of 9 and 11 weeks.

The effects of dietary supplementations on growth performance of red-feathered native chickens (RFCs) at the age of 9 and 11 weeks

Feeding BA and SC improved mucosal architectures in small intestines

Histological examinations of jejunal and ileal mucosa demonstrated that chickens fed with BA Y2 and SC C1 at the age of 9 weeks and 11 weeks had longer villi than those observed in the control group (Figure 1). The numerical assessments of villus height, crypt depth, and V/C ratio are summarized in Table 3. The supplementation of BA Y2 and SC C1 increased villus heights, shortened crypt depths, or increased V/C ratio in the jejunum and/or ileum at the age of 9 and 11 weeks. In the jejunum, the V/C ratio was significantly increased at the age of 11 weeks (p<0.05) and the villus heights were significantly increased at the age of 9 weeks (p<0.05). For the ileum, the supplementation significantly increased villus heights (p<0.05) and V/C ratio (p<0.01) at the age of 11 weeks and decreased crypt depths at the age of 11 weeks (p<0.05). The mucosal architectures in the jejunum and ileum were significantly improved after the supplementation, particularly at the age of 11 weeks, showing the beneficial effects on nutrient absorption.

Figure 1

Effects of BA and SC on intestinal villi morphology. Six red-feathered native chickens (RFCs) per group were randomly selected and euthanized. Villus heights and crypt depths in the jejunum (A, B, E, F) and ileum (C, D, G, H) between the control and experimental groups were evaluated by hematoxylin and eosin (H&E) staining at the age of 9 weeks (A, B, C, D) and 11 weeks (E, F, G, H). Jejunal and ileal mucosa from chickens fed with BA and SC at the age of 9 weeks and 11 weeks both had longer villi than those observed in the control group. BA, Bacillus amyloliquefaciens; SC, Saccharomyces cerevisiae.

Differences in jejunal and ileal villus heights, crypt depths, and V/C ratios of RFCs between control and experimental (BA+SC) groups at different ages

Modulation effects on cecal microbiota by BA and SC supplements

The analysis of alpha-diversity by Shannon, Simpson, abundance-based coverage estimator (ACE), and Chao1 indices (Figure 2) showed that the species richness and diversity in the cecum increased with age in chickens fed with the control diets. The supplementation of BA and SC exerted varying effects on alpha-diversity in the cecum but promoted more species richness and diversity at the age of 11 weeks. However, no significant difference was observed between the control and experimental groups at the age of 4, 7, 9, and 11 weeks. The results of beta diversity demonstrated that the principal components, PC1 and PC2, of the experimental group at the age of 7 weeks was distinctly separated with 23.94% and 11.29% variation, representing a significant difference in cecal community profiles between the control and experimental groups (Figure 3). No separation was noted between groups at the age of 4 and 9 weeks.

Figure 2

Analysis of alpha diversity in cecal microbiota. (A) Shannon index, (B) Simpson index, (C) abundance-based coverage estimator (ACE) index, and (D) Chao1 index. Results were shown as boxplots (n = 6 per group). Each box represents the interquartile range (IQR) between the first (25th percentiles) and third quartiles (75th percentiles) with the horizontal line that indicated the median. Species richness and diversity in the cecum increased with age in chickens fed with the control diets. The supplementation of BA and SC exerted varying effects on alpha-diversity in the cecum and promoted more species richness and diversity at the age of 11 weeks without a statistical significance. BA, Bacillus amyloliquefaciens; SC, Saccharomyces cerevisiae.

Figure 3

Beta-diversity of cecal microbiota between groups. Bray-Curtis principal coordinate analysis (PCoA) was conducted for evaluating the compositions and similarities of cecal microbiota of red-feathered native chickens (RFCs) between the control (CC) and experimental (PC) groups at the age of 4, 7, 9, and 11 weeks (n = 6 per group). A significant difference in cecal community profiles between the control and experimental groups was noted at the age of 7 weeks.

The microbial composition in the cecum of RFCs raised in the control group showed that Firmicutes was the most dominant phylum, followed by Bacteroidetes, Proteobacteria, Epsilonbacteraeota, and Actinobacteria at the age of 4 weeks. The abundance of Firmicutes decreased with age following the increment of Bacteroidetes (Figure 4A). At the genus level, Faecalibacterium were predominant at the age of 4 weeks, followed by Alistipes, other unclassified genera, Ruminococcus, and Helicobacter in RFCs. The microbial composition changed with age and Bacteroides converted into the dominant genus from the age of 9 to 11 weeks. The supplementation of BA and SC did not alter microbial community structure with significance but increased the relative abundance of Bernesiella, Lactobacillus, and Olsenella when compared to RFCs fed with control diets (Figure 4B). Additionally, the supplementation significantly increased the cecal Firmicutes/Bacteroidetes (F/B) ratio at the age of 9 and 11 weeks (p<0.05; Figure 4C). Results of metagenomeSeq and STAMP analyses (Shown in Figure 5) on RFCs with growth benefits (at the age of 11 weeks) revealed the significantly increased abundance of Bernesiella, Prevotellaceae_NK3B31_group, and Butyrucimonas (p<0.05) with remarkably decreased abundance of Bacteroides, Rikenellaceae_RC9_gut_group, and Succinatimonas (p<0.05). Among those genera, Prevotellaceae_NK3B31_group, Rikenellaceae_RC9_gut_group, and Succinatimonas were identified as differentially significant and biological feature taxa between groups by LEfSe with an LDA score of 3.5.

Figure 4

Analysis of microbial composition in cecal microbiota between groups (n = 6 per group). The average relative abundance of the bacterial taxon was presented as the bar within a group. The top 10 abundant taxa are shown at the level of phylum (A) and genus (B), respectively. The composition changed with age and Bacteroides converted into the dominant genus at the age of 9 weeks. The supplementation of BA and SC did not significantly alter microbial community structure at different ages of time (Figure 4B). However, the treatment significantly increased the cecal F/B ratio at the age of 9 and 11 weeks (4C). BA, Bacillus amyloliquefaciens; SC, Saccharomyces cerevisiae. Significance was detected by Kruskal-Wallis test: * p<0.05 and ** p<0.01.

Figure 5

Identifications of the differential abundance of genera in cecal microbiota (n = 6 per group). (A) Analysis by metagenomeSeq: the differential abundance of microbes in the cecum between groups was analyzed at the age of 4, 7, 9, and 11 weeks: * p<0.05 and ** p<0.01. (B) STAMP analysis at same different ages of time. The bar plot demonstrated the differential abundance of genera between the control and experimental groups at the age of 11 weeks. Only significant features with p<0.05 (Welch’s t-test) were shown. Significant increments of Bernesiella, Prevotellaceae_NK3B31_group, and Butyrucimonas (p<0.05) were noted with remarkable decrements of Bacteroides, Rikenellaceae_RC9_gut_group, and Succinatimonas (p<0.05) (C) linear discriminant analysis effect size (LEfSe) analysis with linear discriminant analysis (LDA) score >3.5 at the age of 11 weeks. Prevotellaceae_NK3B31_group, Rikenellaceae_RC9_gut_group, and Succinatimonas were identified as differentially significant and biological feature taxa between groups (p<0.05). Identifications of the differential abundance of genera in cecal microbiota (n = 6 per group). (A) Analysis by metagenomeSeq: the differential abundance of microbes in the cecum between groups was analyzed at the age of 4, 7, 9, and 11 weeks: * p<0.05 and ** p<0.01. (B) STAMP analysis at same different ages of time. The bar plot demonstrated the differential abundance of genera between the control and experimental groups at the age of 11 weeks. Only significant features with p<0.05 (Welch’s t-test) were shown. Significant increments of Bernesiella, Prevotellaceae_NK3B31_group, and Butyrucimonas (p<0.05) were noted with remarkable decrements of Bacteroides, Rikenellaceae_RC9_gut_group, and Succinatimonas (p<0.05) (C) linear discriminant analysis effect size (LEfSe) analysis with linear discriminant analysis (LDA) score >3.5 at the age of 11 weeks. Prevotellaceae_NK3B31_group, Rikenellaceae_RC9_gut_group, and Succinatimonas were identified as differentially significant and biological feature taxa between groups (p<0.05).

Functional pathways promoted by feeding BA and SC

In accordance with the growth benefits observed at the age of 11 weeks, functional predictions of KEGG pathways by Tax4Fun at the third level were conducted (Figure 6). The results demonstrated that the supplementation of BA and SC in feed significantly promoted the pathways of peptidoglycan biosynthesis, nucleotide excision repair, glycolysis/gluconeogenesis, and aminoacyl transfer ribonucleic acid (tRNA) biosynthesis (p<0.05).

Figure 6

Functional prediction of KEGG pathways after by Tax4Fun. The third level of KEGG pathways was predicted between the control and experimental (BA+SC) groups at the age of 11 weeks (n = 6 per group). Pathways of peptidoglycan biosynthesis, nucleotide excision repair, glycolysis/gluconeogenesis, and aminoacyl transfer ribonucleic acid (tRNA) biosynthesis were significantly promoted. (t-test; p<0.05). KEGG, Kyoto encyclopedia of genes and genomes; BA, Bacillus amyloliquefaciens; SC, Saccharomyces cerevisiae.

DISCUSSION

Several studies demonstrated that unitary addition of BA or SC in feed might increase BW, average daily gain, or average daily feed intake but compromise the FCR in broilers [16,17]. In the present study, the combination of BA Y2 and SC C1 improved BW and BWG of RFCs at the age of 9 and 11 weeks without compromise of FCR. The growth benefits were significant at the age of 11 weeks, indicating that this combination exerted synergistic effects that contributed to the observations [18]. Most studies have demonstrated that the mixed probiotics, such as Lactobacillus or Bacillus with SC, improved growth performance in broilers [19]. However, the growth benefits were not profound until the age of 11 weeks, disclosing that the combination of BA Y2 and SC C1 required long-term use to exhibit the significant growth benefits, especially for the breed with lengthy raising period, such as native chickens.

The measurements of intestinal villus heights, crypt depths, and V/C ratio at the level of small intestines are regularly applied for investigating the gut health and effects of various diet regimens in chickens [20]. Dietary feeding of probiotics has been demonstrated to improve the jejunal morphology in broilers [21]. The supplementation of BA Y2 and SC C1 in this study demonstrated the significant differences in the mucosal architecture, including increased villus heights, shortened crypt depths, and/or elevated V/C ratio in the jejunum and ileum. Notably, the significant effects were more comprehensive in small intestines at the age of 11 weeks, consistent with the observations in growth performance. Since the digestion and absorption of nutrients are dominated by the mucosa in the small intestines, the increments of villus heights provide a extended surface area capable of greater absorption. A higher V/C ratio represents a greater capacity of nutrient digestibility and absorption in chickens [22]. Furthermore, the lower V/C ratio is related to a low number of absorptive cells with a high number of secretory cells, leading to increased mucin production, compromised absorption of nutrients, and higher energy demands for maintaining intestinal function [23,24]. Although a significant difference in villus height was observed in the jejunum at the age of 9 weeks, the change did not impact growth performance. Improved mucosal architectures in both jejunum and ileum seemed essential to contribute to the significant growth benefits observed at the age of 11 weeks.

Several studies have shown that the number of microbial species in cecal microbiota increased with age in broiler and layer chickens. Firmicutes and Bacteroidetes dominated the bacterial phyla in the cecum and the abundance of Firmicutes decreased with age following the converse increment of Bacteroidetes [25,26]. Our observations in RFCs were consistent with those studies. Nevertheless, the long-term supplementation of BA and SC reversed the trend, significantly increasing the F/B ratio at the age of 9 and 11 weeks. A higher F/B ratio has been demonstrated to have a greater fermentation capacity of volatile fatty acids and more fat deposition, linking with the increased amount of energy and elevated BW in humans [27]. A higher F/B ratio represented improved energy uptake and growth promotion. The increase of the F/B ratio was associated with the desirable growth performance [26,28]. The significant increments of F/B ratio noted at the age of 9 weeks did not link with a significant performance improvement, indicating that the interactions of Firmicutes and Bacteroidetes are partially involved in the overall growth, or the index of F/B ratio was not a specific correlate with growth performance in RFCs. Further investigations of microbial species diversity and microbial shifts in gut microbiota at the detailed taxonomic level are necessary.

Animals with impaired gut health are characterized by the loss of species richness, and/or diversity and evenness in gut microbiota [29]. Up to date, the relationship between desirable growth performances, microbial species diversity, and microbial shifts in gut microbiota is not clear. Alpha diversity summarized the structure of the microbial community in the gut by species richness (the number of species present), species evenness (the number of individuals per species), or both. It is the first approach to evaluate differences between microbial environments. The supplementation of BA and SC in this study increased microbial diversity at the age of 9 and 11 weeks, particularly for species abundance at the age of 11 weeks. However, the differences were not significant between the control and experimental groups. The result indicated that the supplementation affected the abundance of taxa but did not alter the major community structure in the cecum. Beta diversity is a measure of similarity or dissimilarity between two microbial communities. Bray-Curtis dissimilarity was used to measure the shape (abundance of each taxon) and size (overall abundance per sample) of the communities. The supplementation of BA and SC in feed for 7 weeks promoted the differential separation of microbial composition structure from the un-supplemented. Afterward, the microbial communities between the two groups shared some degree of similarity. These analytic results of alpha and beta diversity demonstrated that the growth benefits promoted by supplementing BA and SC did not affect the majority of microbial community structure in the gut.

Several studies have been shown that the growth benefits of feeding DFM in broilers were correlated with the interaction with gut microbiota and the host. It was through modulating the composition of the intestinal microflora by the overgrowth of beneficial microbes and/or the decreasing population of pathogenic bacteria [8,30]. In the present study, the relative abundance of Bernesiella, Lactobacillus, and Olsenella in the group fed with BA and SC were found to be increased when the microbial composition targeting the top ten abundant taxa in the cecum was analyzed. Nevertheless, the increments were not significant. Therefore, several bioinformatics tools were applied to determine the statistical significance with biological consistency and effect relevance. The results of metagenomeSeq and STAMP showed that genera of Bernesiella, Prevotellaceae_NK3B31_group, and Butyrucimonas were significantly increased following remarkable decrements of Bacteroides, Rikenellaceae_RC9_gut_group, and Succinatimonas in RFCs with growth benefits. Among those genera, the increment of Prevotellaceae_NK3B31_group and decrements of Rikenellaceae_RC9_gut_group and Succinatimonas were determined as the significant biological feature by LEfSe. Barnesiellais is known as a member of the family Porphyromonadaceae, order Bacteroidales. It has been demonstrated to utilize fucosyllactose as the energy source, correlate with the amount of several immunoregulatory cells, exert anti-inflammatory effects in mice with dextran sulfate sodium-induced colitis, and prevent the colonization of vancomycin-resistant Enterococcus in the intestines [3133]. Prevotellaceae was shown to be associated with the production of short-chain fatty acids (SCFAs) for modulating gut physiology and metabolism [34,35]. The Prevotellaceae-NK3B31 group are involved in the carbohydrate, amino acid, nucleotide metabolic, and lipid pathways [36]. A higher proportion of Prevotellaceae_NK3B31_group has been demonstrated to provide benefit to healthy pigs, alleviate diarrhea and promote growth performance in weaned piglets, and improve the average BW and intestinal morphology in piglets treated by lysozyme [37,38]. For Butyricimonas, it produces butyrate to either enhance intestinal barrier function and mucosal immunity or serve as the major energy source for the differentiation of colonocytes, thereby affecting the growth [39]. Increments in Butyricimonas abundance were shown to improve metabolic parameters in mice treated with metformin [40]. These results indicated that these featured taxa and their abundance may contribute to the major effects on growth performance in RFCs.

Bacteroides are considered to maintain a complex and beneficial relationship with the host. They ferment carbohydrates with other intestinal flora to produce a group of volatile fatty acids as an energy source for host utilization [41]. However, the amount of Bacteroides was negatively associated with abdominal fat and subcutaneous fat thickness in chickens [42]. The specific regulatory mechanism of Rikenellaceae_RC9_gut_group in the gut is unclear. One study showed that it was negatively linked with glucose metabolism parameters. The decrement of Rikenellaceae_RC9_gut_group may up-regulate the glucose metabolism, increasing the energy uptake by the host [43]. Succinimonas is recognized as a novel member of the family Succinivibrionaceae of the class Gammaproteobacteria [44]. It was isolated from human feces and shown to ferment carbohydrates to succinate and acetate [45]. Nevertheless, few studies addressed the role of Succinimonas in growth performance. Based on evidence mentioned above, it is speculated that the increments of Bernesiella, Prevotellaceae_NK3B31_group, and Butyrucimonas might associate with more energy uptake in the host, modulations of gut physiology and metabolism, and enhancements of intestinal barrier function and mucosal immunity, consequently contributing to the growth benefits in RFCs. Although some research highlighted the role of Bacteroides in growth promotion, the relationship was not established in this study. It indicated that the growth benefits from supplementing BA and SC were not through the interactions with this genus of bacterium and RFCs. Human studies further demonstrated that the microbial shift from Bacteroides to Prevotellaceae_NK3B31_group in the colon revealed the metabolic changes of carbohydrate, amino acid, nucleotide, and lipid [36].

The intestinal microbiota has been demonstrated to participate in several metabolic pathways, including amino acid synthesis and lipid metabolism [46]. Predictions of functional pathways in the present study demonstrated significant promotions of peptidoglycan biosynthesis, nucleotide excision repair, glycolysis/gluconeogenesis, and aminoacyl-tRNA biosynthesis by supplementing BA and SC. These results showed the participation of cecal featured taxa in metabolic functions. The peptidoglycan as a macromolecular component of the bacterial cell wall maintains the shape and integrity of the cell and forms a thick layer in the cell wall of lactic acid bacteria (LAB) [47]. LAB strains, Lactobacillus in particular, are commercially used as probiotics with health or growth-promoting properties [48]. Increased biosynthesis of peptidoglycan may enhance the abundance of LAB populations in the gut, partially promoting the growth benefits. A recent study has shown the positive role of Prevotellaceae_NK3B31_group in amino acid, carbohydrate, lipid, and nucleotide metabolic pathways, influencing the concentration of acetic acid, propionic acid, and total SCFAs in the intestinal digesta [36]. The higher abundance of this genus may promote the higher predicted carbohydrate and nucleotide metabolic pathways. Another study demonstrated a negative correlation between the abundance of Rikenellaceae_RC9_gut_group and glucose metabolism [43], indicating that its decrement contributed to higher predicted glucose metabolic function. The aminoacyl tRNA is required for protein biosynthesis [49]. It was found to involve the peptidoglycan cross-linking pathway, antibiotic resistance, antibiotic synthesis, and membrane phospholipid modification pathways [50]. Nucleotide excision repair is the mechanism that protects cells against genomic damage and its disruption can result in tumorigenesis and accelerate aging [51]. Deficiencies in nucleotide excision repair were also associated with the inferior function of cellular metabolism [52]. Therefore, significant promotion on this pathway was beneficial for the maintenance of mucosal architectures in the intestine. However, further studies are required to examine the speculation. According to these pieces of evidence, the microbial shifts in response to the supplementation of BA and SC may play the role in the metabolic and physiological regulations, subsequently contributing to the growth benefits in RFCs.

CONCLUSION

The supplementation of BA Y2 and SC C1 in feed exerts beneficial effects on growth performance and gut mucosa improvement in RFCs. The supplementation did not disturb the major microbial community structure but promote the microbial shifts characterized by the increments of Bernesiella, Prevotellaceae_NK3B31_group, and Butyrucimonas, following the decrements of Bacteroides, Rikenellaceae_RC9_gut_group, and Succinatimonas. Evidence showed that these featured taxa and their abundance may contribute to benefits on growth performance. Modulated cecal microbiota was demonstrated to play a role in chicken metabolic and physiological regulations through functional predictions.

ACKNOWLEDGMENTS

The authors appreciate the support from the Department of Animal Science, National Chung Hsing University and Department of Veterinary Medicine, School of Veterinary Medicine, National Taiwan University.

Notes

CONFLICT OF INTEREST

We certify that there is no conflict of interest with any financial organization regarding the material discussed in the manuscript.

FUNDING

The authors received no financial support for this article.

References

1. Roan SW, Fang WB, Hu CL, Wang BY. Carcase composition of taiwan simulated native chickens. Trop Anim Health Prod 1999;31:245–57. https://doi.org/10.1023/a:1005271211738 .
2. Diaz Carrasco JM, Casanova NA, Fernández Miyakawa ME. Microbiota, gut health and chicken productivity: What is the connection? Microorganisms 2019;7:374. https://doi.org/10.3390/microorganisms7100374 .
3. Jha R, Das R, Oak S, Mishra P. Probiotics (direct-fed microbials) in poultry nutrition and their effects on nutrient utilization, growth and laying performance, and gut health: A systematic review. Animals (Basel) 2020;10:1863. https://doi.org/10.3390/ani10101863 .
4. Abd El-Hack ME, El-Saadony MT, Shafi ME, et al. Probiotics in poultry feed: A comprehensive review. J Anim Physiol Anim Nutr (Berl) 2020;104:1835–50. https://doi.org/10.1111/jpn.13454 .
5. Cao GT, Zhan XA, Zhang LL, Zeng XF, Chen AG, Yang CM. Modulation of broilers’ caecal microflora and metabolites in response to a potential probiotic bacillus amyloliquefaciens. J Anim Physiol Anim Nutr (Berl) 2018;102:e909–e17. https://doi.org/10.1111/jpn.12856 .
6. Hong Y, Cheng Y, Li Y, et al. Preliminary study on the effect of bacillus amyloliquefaciens tl on cecal bacterial community structure of broiler chickens. Biomed Res Int 2019. 2019Article ID 5431354. https://doi.org/10.1155/2019/5431354 .
7. Li Y, Zhang H, Chen YP, et al. Bacillus amyloliquefaciens supplementation alleviates immunological stress in lipopolysaccharide-challenged broilers at early age. Poult Sci 2015;94:1504–11. https://doi.org/10.3382/ps/pev124 .
8. Hong Y, Cheng Y, Li Y, et al. Preliminary study on the effect of bacillus amyloliquefaciens tl on cecal bacterial community structure of broiler chickens. Biomed Res Int 2019;2019:5431354. https://doi.org/10.1155/2019/5431354 .
9. Jerzsele A, Szeker K, Csizinszky R, et al. Efficacy of protected sodium butyrate, a protected blend of essential oils, their combination, and bacillus amyloliquefaciens spore suspension against artificially induced necrotic enteritis in broilers. Poult Sci 2012;91:837–43. https://doi.org/10.3382/ps.2011-01853 .
10. Ezema C, Ugwu CC. Yeast (saccharomyces cerevisiae) as a probiotic of choice for broiler production. In : Liong M-T, ed. Beneficial microorganisms in agriculture, aquaculture and other areas Cham, Switzerland: Springer International Publishing; 2015. p. 59–79.
11. Yang Y, Iji PA, Kocher A, Mikkelsen LL, Choct M. Effects of dietary mannanoligosaccharide on growth performance, nutrient digestibility and gut development of broilers given different cereal-based diets. J Anim Physiol Anim Nutr (Berl) 2008;92:650–9. https://doi.org/10.1111/j.1439-0396.2007.00761.x .
12. Froebel LK, Jalukar S, Lavergne TA, Lee JT, Duong T. Administration of dietary prebiotics improves growth performance and reduces pathogen colonization in broiler chickens. Poult Sci 2019;98:6668–76. https://doi.org/10.3382/ps/pez537 .
13. Agus A, Planchais J, Sokol H. Gut microbiota regulation of tryptophan metabolism in health and disease. Cell Host Microbe 2018;23:716–24. https://doi.org/10.1016/j.chom.2018.05.003 .
14. Yeoman CJ, Chia N, Jeraldo P, Sipos M, Goldenfeld ND, White BA. The microbiome of the chicken gastrointestinal tract. Anim Health Res Rev 2012;13:89–99. https://doi.org/10.1017/s1466252312000138 .
15. Timmerman HM, Koning CJM, Mulder L, Rombouts FM, Beynen AC. Monostrain, multistrain and multispecies probiotics--a comparison of functionality and efficacy. Int J Food Microbiol 2004;96:219–33. https://doi.org/10.1016/j.ijfoodmicro.2004.05.012 .
16. Lei X, Piao X, Ru Y, Zhang H, Péron A, Zhang H. Effect of bacillus amyloliquefaciens-based direct-fed microbial on performance, nutrient utilization, intestinal morphology and cecal microflora in broiler chickens. Asian-Australas J Anim Sci 2015;28:239–46. https://doi.org/10.5713/ajas.14.0330 .
17. Zhang AW, Lee BD, Lee SK, et al. Effects of yeast (saccharomyces cerevisiae) cell components on growth performance, meat quality, and ileal mucosa development of broiler chicks. Poult Sci 2005;84:1015–21. https://doi.org/10.1093/ps/84.7.1015 .
18. Markowiak P, Śliżewska K, Nowak A, et al. Probiotic microorganisms detoxify ochratoxin a in both a chicken liver cell line and chickens. J Sci Food Agric 2019;99:4309–18. https://doi.org/10.1002/jsfa.9664 .
19. Chen KL, Kho WL, You SH, Yeh RH, Tang SW, Hsieh CW. Effects of bacillus subtilis var. Natto and saccharomyces cerevisiae mixed fermented feed on the enhanced growth performance of broilers. Poult Sci 2009;88:309–15. https://doi.org/10.3382/ps.2008-00224 .
20. Wilson FD, Cummings TS, Barbosa TM, Williams CJ, Gerard PD, Peebles ED. Comparison of two methods for determination of intestinal villus to crypt ratios and documentation of early age-associated ratio changes in broiler chickens. Poult Sci 2018;97:1757–61. https://doi.org/10.3382/ps/pex349 .
21. Aliakbarpour HR, Chamani M, Rahimi G, Sadeghi AA, Qujeq D. The bacillus subtilis and lactic acid bacteria probiotics influences intestinal mucin gene expression, histomorphology and growth performance in broilers. Asian-Australas J Anim Sci 2012;25:1285–93. https://doi.org/10.5713/ajas.2012.12110 .
22. Caspary WF. Physiology and pathophysiology of intestinal absorption. Am J Clin Nutr 1992;55:299s–308s. https://doi.org/10.1093/ajcn/55.1.299s .
23. Langhout DJ, Schutte JB, Van Leeuwen P, Wiebenga J, Tamminga S. Effect of dietary high- and low-methylated citrus pectin on the activity of the ileal microflora and morphology of the small intestinal wall of broiler chicks. Br Poult Sci 1999;40:340–7. https://doi.org/10.1080/00071669987421 .
24. Prakatur I, Miskulin M, Pavic M, et al. Intestinal morphology in broiler chickens supplemented with propolis and bee pollen. Animals (Basel) 2019;9:301. https://doi.org/10.3390/ani9060301 .
25. Oakley BB, Lillehoj HS, Kogut MH, et al. The chicken gastrointestinal microbiome. FEMS Microbiol Lett 2014;360:100–12. https://doi.org/10.1111/1574-6968.12608 .
26. Mancabelli L, Ferrario C, Milani C, et al. Insights into the biodiversity of the gut microbiota of broiler chickens. Environ Microbiol 2016;18:4727–38. https://doi.org/10.1111/1462-2920.13363 .
27. Abdallah Ismail N, Ragab SH, Abd Elbaky A, Shoeib ARS, Alhosary Y, Fekry D. Frequency of firmicutes and bacteroidetes in gut microbiota in obese and normal weight egyptian children and adults. Arch Med Sci 2011;7:501–7. https://doi.org/10.5114/aoms.2011.23418 .
28. Salaheen S, Kim SW, Haley BJ, Van Kessel JAS, Biswas D. Alternative growth promoters modulate broiler gut microbiome and enhance body weight gain. Front Microbiol 2017;8:2088. https://doi.org/10.3389/fmicb.2017.02088 .
29. Manichanh C, Rigottier-Gois L, Bonnaud E, et al. Reduced diversity of faecal microbiota in crohn’s disease revealed by a metagenomic approach. Gut 2006;55:205–11. https://doi.org/10.1136/gut.2005.073817 .
30. Jayaraman S, Thangavel G, Kurian H, Mani R, Mukkalil R, Chirakkal H. Bacillus subtilis pb6 improves intestinal health of broiler chickens challenged with clostridium perfringens-induced necrotic enteritis. Poult Sci 2013;92:370–4. https://doi.org/10.3382/ps.2012-02528 .
31. Ubeda C, Bucci V, Caballero S, et al. Intestinal microbiota containing barnesiella species cures vancomycin-resistant enterococcus faecium colonization. Infect Immun 2013;81:965–73. https://doi.org/10.1128/iai.01197-12 .
32. Presley LL, Wei B, Braun J, Borneman J. Bacteria associated with immunoregulatory cells in mice. Appl Environ Microbiol 2010;76:936–41. https://doi.org/10.1128/aem.01561-09 .
33. Weiss GA, Chassard C, Hennet T. Selective proliferation of intestinal barnesiella under fucosyllactose supplementation in mice. Br J Nutr 2014;111:1602–10. https://doi.org/10.1017/s0007114513004200 .
34. Zhang L, Wu W, Lee YK, Xie J, Zhang H. Spatial heterogeneity and co-occurrence of mucosal and luminal microbiome across swine intestinal tract. Front Microbiol 2018;9:48. https://doi.org/10.3389/fmicb.2018.00048 .
35. Du CT, Gao W, Ma K, et al. Microrna-146a deficiency protects against listeria monocytogenes infection by modulating the gut microbiota. Int J Mol Sci 2018;19:993. https://doi.org/10.3390/ijms19040993 .
36. Jiang X, Lu N, Zhao H, Yuan H, Xia D, Lei H. The microbiome-metabolome response in the colon of piglets under the status of weaning stress. Front Microbiol 2020;11:2055. https://doi.org/10.3389/fmicb.2020.02055 .
37. Xiong X, Zhou J, Liu H, Tang Y, Tan B, Yin Y. Dietary lysozyme supplementation contributes to enhanced intestinal functions and gut microflora of piglets. Food Funct 2019;10:1696–706. https://doi.org/10.1039/c8fo02335b .
38. Wang W, Wang Y, Hao X, et al. Dietary fermented soybean meal replacement alleviates diarrhea in weaned piglets challenged with enterotoxigenic escherichia coli k88 by modulating inflammatory cytokine levels and cecal microbiota composition. BMC Vet Res 2020;16:245. https://doi.org/10.1186/s12917-020-02466-5 .
39. Fu X, Liu Z, Zhu C, Mou H, Kong Q. Nondigestible carbohydrates, butyrate, and butyrate-producing bacteria. Crit Rev Food Sci Nutr 2019;59:S130–52. https://doi.org/10.1080/10408398.2018.1542587 .
40. Lee H, Lee Y, Kim J, et al. Modulation of the gut microbiota by metformin improves metabolic profiles in aged obese mice. Gut Microbes 2018;9:155–65. https://doi.org/10.1080/19490976.2017.1405209 .
41. Hooper LV, Midtvedt T, Gordon JI. How host-microbial interactions shape the nutrient environment of the mammalian intestine. Annu Rev Nutr 2002;22:283–307. https://doi.org/10.1146/annurev.nutr.22.011602.092259 .
42. Niu J, Zhang J, Wei L, Ma X, Zhang W, Nie C. Cottonseed meal fermented by candida tropical reduces the fat deposition in white-feather broilers through cecum bacteria-host metabolic cross-talk. Appl Microbiol Biotechnol 2020;104:4345–57. https://doi.org/10.1007/s00253-020-10538-7 .
43. Gao X, Chang S, Liu S, et al. Correlations between α-linolenic acid-improved multitissue homeostasis and gut microbiota in mice fed a high-fat diet. mSystems 2020;5:e00391–20. https://doi.org/10.1128/mSystems.00391-20 .
44. Hippe H, Hagelstein A, Kramer I, Swiderski J, Stackebrandt E. Phylogenetic analysis of formivibrio citricus, propionivibrio dicarboxylicus, anaerobiospirillum thomasii, succinimonas amylolytica and succinivibrio dextrinosolvens and proposal of succinivibrionaceae fam. Nov. Int J Syst Bacteriol 1999;49:779–82. https://doi.org/10.1099/00207713-49-2-779 .
45. Morotomi M, Nagai F, Watanabe Y, Tanaka R. Succinatimonas hippei gen. Nov., sp. Nov., isolated from human faeces. Int J Syst Evol Microbiol 2010;60:1788–93. https://doi.org/10.1099/ijs.0.015958-0 .
46. Li M, Wang B, Zhang M, et al. Symbiotic gut microbes modulate human metabolic phenotypes. Proc Natl Acad Sci USA 2008;105:2117–22. https://doi.org/10.1073/pnas.0712038105 .
47. Martínez B, Rodríguez A, Kulakauskas S, Chapot-Chartier MP. Cell wall homeostasis in lactic acid bacteria: Threats and defences. FEMS Microbiol Rev 2020;44:538–64. https://doi.org/10.1093/femsre/fuaa021 .
48. van Baarlen P, Wells JM, Kleerebezem M. Regulation of intestinal homeostasis and immunity with probiotic lactobacilli. Trends Immunol 2013;34:208–15. https://doi.org/10.1016/j.it.2013.01.005 .
49. RajBhandary UL, Söll D. Aminoacyl-trnas, the bacterial cell envelope, and antibiotics. Proc Natl Acad Sci USA 2008;105:5285–6. https://doi.org/10.1073/pnas.0801193105 .
50. Shepherd J, Ibba M. Lipid ii-independent trans editing of mischarged trnas by the penicillin resistance factor murm. J Biol Chem 2013;288:25915–23. https://doi.org/10.1074/jbc.M113.479824 .
51. Jager M, Blokzijl F, Kuijk E, et al. Deficiency of nucleotide excision repair is associated with mutational signature observed in cancer. Genome Res 2019;29:1067–77. https://doi.org/10.1101/gr.246223.118 .
52. Schärer OD. Nucleotide excision repair in eukaryotes. Cold Spring Harb Perspect Biol 2013;5:a012609. https://doi.org/10.1101/cshperspect.a012609 .

Article information Continued

Figure 1

Effects of BA and SC on intestinal villi morphology. Six red-feathered native chickens (RFCs) per group were randomly selected and euthanized. Villus heights and crypt depths in the jejunum (A, B, E, F) and ileum (C, D, G, H) between the control and experimental groups were evaluated by hematoxylin and eosin (H&E) staining at the age of 9 weeks (A, B, C, D) and 11 weeks (E, F, G, H). Jejunal and ileal mucosa from chickens fed with BA and SC at the age of 9 weeks and 11 weeks both had longer villi than those observed in the control group. BA, Bacillus amyloliquefaciens; SC, Saccharomyces cerevisiae.

Figure 2

Analysis of alpha diversity in cecal microbiota. (A) Shannon index, (B) Simpson index, (C) abundance-based coverage estimator (ACE) index, and (D) Chao1 index. Results were shown as boxplots (n = 6 per group). Each box represents the interquartile range (IQR) between the first (25th percentiles) and third quartiles (75th percentiles) with the horizontal line that indicated the median. Species richness and diversity in the cecum increased with age in chickens fed with the control diets. The supplementation of BA and SC exerted varying effects on alpha-diversity in the cecum and promoted more species richness and diversity at the age of 11 weeks without a statistical significance. BA, Bacillus amyloliquefaciens; SC, Saccharomyces cerevisiae.

Figure 3

Beta-diversity of cecal microbiota between groups. Bray-Curtis principal coordinate analysis (PCoA) was conducted for evaluating the compositions and similarities of cecal microbiota of red-feathered native chickens (RFCs) between the control (CC) and experimental (PC) groups at the age of 4, 7, 9, and 11 weeks (n = 6 per group). A significant difference in cecal community profiles between the control and experimental groups was noted at the age of 7 weeks.

Figure 4

Analysis of microbial composition in cecal microbiota between groups (n = 6 per group). The average relative abundance of the bacterial taxon was presented as the bar within a group. The top 10 abundant taxa are shown at the level of phylum (A) and genus (B), respectively. The composition changed with age and Bacteroides converted into the dominant genus at the age of 9 weeks. The supplementation of BA and SC did not significantly alter microbial community structure at different ages of time (Figure 4B). However, the treatment significantly increased the cecal F/B ratio at the age of 9 and 11 weeks (4C). BA, Bacillus amyloliquefaciens; SC, Saccharomyces cerevisiae. Significance was detected by Kruskal-Wallis test: * p<0.05 and ** p<0.01.

Figure 5

Identifications of the differential abundance of genera in cecal microbiota (n = 6 per group). (A) Analysis by metagenomeSeq: the differential abundance of microbes in the cecum between groups was analyzed at the age of 4, 7, 9, and 11 weeks: * p<0.05 and ** p<0.01. (B) STAMP analysis at same different ages of time. The bar plot demonstrated the differential abundance of genera between the control and experimental groups at the age of 11 weeks. Only significant features with p<0.05 (Welch’s t-test) were shown. Significant increments of Bernesiella, Prevotellaceae_NK3B31_group, and Butyrucimonas (p<0.05) were noted with remarkable decrements of Bacteroides, Rikenellaceae_RC9_gut_group, and Succinatimonas (p<0.05) (C) linear discriminant analysis effect size (LEfSe) analysis with linear discriminant analysis (LDA) score >3.5 at the age of 11 weeks. Prevotellaceae_NK3B31_group, Rikenellaceae_RC9_gut_group, and Succinatimonas were identified as differentially significant and biological feature taxa between groups (p<0.05). Identifications of the differential abundance of genera in cecal microbiota (n = 6 per group). (A) Analysis by metagenomeSeq: the differential abundance of microbes in the cecum between groups was analyzed at the age of 4, 7, 9, and 11 weeks: * p<0.05 and ** p<0.01. (B) STAMP analysis at same different ages of time. The bar plot demonstrated the differential abundance of genera between the control and experimental groups at the age of 11 weeks. Only significant features with p<0.05 (Welch’s t-test) were shown. Significant increments of Bernesiella, Prevotellaceae_NK3B31_group, and Butyrucimonas (p<0.05) were noted with remarkable decrements of Bacteroides, Rikenellaceae_RC9_gut_group, and Succinatimonas (p<0.05) (C) linear discriminant analysis effect size (LEfSe) analysis with linear discriminant analysis (LDA) score >3.5 at the age of 11 weeks. Prevotellaceae_NK3B31_group, Rikenellaceae_RC9_gut_group, and Succinatimonas were identified as differentially significant and biological feature taxa between groups (p<0.05).

Figure 6

Functional prediction of KEGG pathways after by Tax4Fun. The third level of KEGG pathways was predicted between the control and experimental (BA+SC) groups at the age of 11 weeks (n = 6 per group). Pathways of peptidoglycan biosynthesis, nucleotide excision repair, glycolysis/gluconeogenesis, and aminoacyl transfer ribonucleic acid (tRNA) biosynthesis were significantly promoted. (t-test; p<0.05). KEGG, Kyoto encyclopedia of genes and genomes; BA, Bacillus amyloliquefaciens; SC, Saccharomyces cerevisiae.

Table 1

Ingredients and composition of the control diets

Items Starter diet (1 to 21 days) Grower diet (22 to 42 days) Finisher diet (43 to 77 days)
Ingredients (g/kg) -------------------------------------------------------------------------g/kg------------------------------------------------------------------------------
 Corn, yellow 555 586 601
 Soybean meal 295 260 230
 Full fat soybean meal 50 75 100
 Fish meal (CP-65%) 50 25 12.5
 Soybean oil 18 21 24
 Monocalcium phosphate 13 14 14
 Calcium carbonate 11.5 11 10.5
 DL-methionine 2 1.6 1.5
 NaCl 2.5 3 3.5
 Choline-Cl 1 1 1
 Vitamin premix1) 1 1 1
 Mineral premix2) 1 1 1
 Total 1,000 1,000 1,000
Calculated nutrient value
 ME (kcal/kg) 3,025 3,075 3,125
 Crude protein (%) 22 20 19
 Calcium (%) 1 0.9 0.85
 Total phosphorus (%) 0.64 0.6 0.56
 Available phosphorus (%) 0.5 0.45 0.2
 Lysine (%) 1.29 1.13 1.04
 Methionine (%) 0.6 0.51 0.48
 Methionine+Cystein (%) 0.95 0.85 0.8
 Threonine (%) 0.86 0.78 0.73
 Cl (%) 0.21 0.23 0.25
 Na (%) 0.17 0.17 0.17
 K (%) 0.89 0.85 0.83

ME, metabolizable energy.

1)

Supplied per kg of diet: Vit A 15,000 IU; Vit. D3 3,000 IU; Vit. E 30 mg; Vit. K3 4 mg; riboflavin 8 mg; pyridoxine 5 mg; Vit. B12 25 μg; Ca-pantothenate 19 mg; niacin 50 mg; folic acid 1.5 mg; biotin 60 μg.

2)

Supplied per kg of diet: Co(CoCO3) 0.255 mg; Cu(CuSO4·5H2O) 10.8 mg; Fe(FeSO4·H2O) 90 mg; Zn(ZnO) 68.4 mg; Mn(MnSO4·H2O) 90 mg; Se (Na2SeO3) 0.18 mg.

Table 2

The effects of dietary supplementations on growth performance of red-feathered native chickens (RFCs) at the age of 9 and 11 weeks

Parameters Group p-value

Control Experimental
9 weeks
 BW (kg/bird) 1.82±0.13 1.87±0.17 0.084
 BWG (kg/bird) 1.77±0.13 1.82±0.17 0.085
 FCR 2.32 2.25
11 weeks
 BW (kg/bird) 2.35±0.14 2.46±0.19* 0.002
 BWG (kg/bird) 2.30±0.14 2.41±0.19* 0.002
 FCR 2.45 2.34

BW, body weight; BWG, body weight gain; FCR, feed conversion rate.

BW and BWG values were reported as mean±standard deviation, n = 50 per group.

FCR was measured by total amount of feed consumption by the total weight gain from all RFCs in the group.

*

Means are significantly different when compared to the control (p<0.05).

Table 3

Differences in jejunal and ileal villus heights, crypt depths, and V/C ratios of RFCs between control and experimental (BA+SC) groups at different ages

Parameters Jejunum p-value Ileum p-value


Control (Mean±SD) Experimental (Mean±SD) Control (Mean±SD) Experimental (Mean±SD)
9 weeks
 Villus height (μm) 1,082.5±69.07 1,287.49±160.32* 0.017 953.3±211.6 1,126.7±190.53 0.167
 Crypt depth (μm) 285.38±86.05 265.06±24.35 0.590 280.74±84.94 234.65±26.59 0.233
 Villus height/crypt depth 4.26±1.15 5.11±0.89 0.183 3.91±1.41 5.05±1.22 0.164
11 weeks
 Villus height (μm) 1,194.63±136.26 1,256.56±127.55 0.435 831.24±94.49 971.47±76.86* 0.018
 Crypt depth (μm) 263.46±15.87 228.91±21.46* 0.010 204.65±26.40 161.83±22.7* 0.013
 Villus height/crypt depth 4.77±0.57 5.74±0.8* 0.035 4.39±0.69 6.39±0.62* 0.0004

All values were reported as mean±standard deviation (SD), n = 6 per group.

*

Means are significantly different when compared to the control (p<0.05).