Introduction
Antibiotics are used extensively at sub-therapeutic levels in livestock production to promote growth and improve feed conversion efficiency (Zhao et al. Reference Zhao, Dong and Wang2010). In spite of the non-negligible benefits of antibiotics, their heavy use in animal feed has provoked public health concern and safety problems, as demonstrated by antibiotics residue in animal food and the occurrence of antibiotic-resistant bacteria (Huyghebaert et al. Reference Huyghebaert, Ducatelle and Van Immerseel2011; Moghadam et al. Reference Moghadam, Amiri and Riabi2016). As a consequence, the European Union has, since January 2006, forbidden the use of antibiotics as growth promoters in the animal-feed industry (Marshall and Levy Reference Marshall and Levy2011), and the Ministry of Agriculture and Rural Affairs of the People's Republic of China has also limited the heavy use of antibiotics in animal production since 2020. Antibiotics therapy to resist diseases in animals, especially those under intensive conditions, is sometimes necessary. Intestinal microbes assist the host in resisting pathogens (Stanley et al. Reference Stanley, Hughes and Moore2014) and improving immunity, etc., and thus play an essential role in maintaining the health of the host. The microbiota of ceca have received considerable attention because they are very diverse, and 1 g (wet weight) of cecal content may contain 1011 bacteria (Mead, Reference Mead1997). Antibiotics are perceived generally to affect numbers and compositions of gut microbes, indicating that antibiotics can affect the cecal microbial community structure of animals (Mamber and Katz Reference Mamber and Katz1985; Castillo et al. Reference Castillo, Martin-Orue, Roca, Manzanilla, Badiola, Perez and Gasa2006). The occurrence of antibiotic-resistant genes (ARGs) is the primary reason for bacterial resistance to antibiotics, and ARGs have been recognized as emerging contaminants which attract worldwide attention (Pruden et al. Reference Pruden, Pei, Storteboom and Carlson2006; Baquero et al. Reference Baquero, Martinez and Canton2008). Growing evidence has shown that livestock farms could be a potentially significant reservoir for the release of ARGs into the environment (Chee-Sanford et al. Reference Chee-Sanford, Mackie, Koike, Krapac, Lin, Yannarell, Maxwell and Aminov2009; Gao et al. Reference Gao, Munir and Xagoraraki2012; Berendonk et al. Reference Berendonk, Manaia, Merlin, Fatta-Kassinos, Cytryn, Walsh, Burgmann, Sorum, Norstrom, Pons, Kreuzinger, Huovinen, Stefani, Schwartz, Kisand, Baquero and Martinez2015).
Horizontal gene transfer (HGT) is a critical pathway for the proliferation of ARGs (Hall and Collis Reference Hall and Collis1995; Ochman et al. Reference Ochman, Lawrence and Groisman2000), and HGT is associated commonly with mobile genetic elements, such as plasmids, transposons, and integrons, which may enable the ARGs to move from species to species and into a wide range of genera by conjugation (Chopra Reference Chopra2001; Roberts Reference Roberts2003). IntI1 has been considered to be the most ubiquitous among resistant bacteria and plays a leading role in the emergence and wide dissemination of ARGs (Gillings et al. Reference Gillings, Boucher, Labbate, Holmes, Krishnan, Holley and Stokes2008; Cambray et al. Reference Cambray, Guerout and Mazel2010). Undoubtedly, antibiotics can induce the occurrence of ARGs of intestinal microbes in animals (Gao et al. Reference Gao, Munir and Xagoraraki2012). What is worse, > 95% of Escherichia coli from diseased broilers has been found to be resistant to one or more types of antibiotics in recent decades in China (Chen et al. Reference Chen, Zhang, Yin, Zhang, Geng, Zhou, Wang, Gao and Jiao2014). These findings suggest that liberal use of antibiotics has led to some pathogens becoming resistant to antibiotics in livestock production and has inspired discussion of effective methods of reducing the occurrence and spread of ARGs.
Palygorskite (Plg), a hydrated magnesium aluminum silicate present in nature as a fibrous silicate clay mineral (Huang et al. Reference Huang, Liu, Jin, Wang and Yang2007), possesses a unique chain-layered crystal structure, which in turn endows it with properties of adsorption, cation exchange, and adhesive ability (Bergaya and Lagaly Reference Bergaya and Lagaly2013). Plg has been used as both a selective and an active adsorbent and also as a catalyst support (Zhou et al. Reference Zhou, Zhao, Wang, Chen and He2016). The characteristics of Plg enable its use in the livestock industry as a feedstuff raw material or additive. Previous studies have demonstrated that Plg supplementation could improve growth performance (Zhang et al. Reference Zhang, Lv, Tang and Wang2013), intestinal integrity, and barrier function in animals (Chen et al. Reference Chen, Cheng, Li, Zhang, Yang, Wen and Zhou2016). Furthermore, dietary Plg supplementation can adsorb pathogenic bacteria in vitro (Zaid et al. Reference Zaid, Hasan and Khan1995) and modulate cecal microbiota composition in vivo (Slamova et al. Reference Slamova, Trckova, Vondruskova, Zraly and Pavlik2011; Chalvatzi et al. Reference Chalvatzi, Kalamaki, Arsenos and Fortomaris2016). These findings have provided evidence that the supplementation of animal feed with Plg may improve the cecal microbiota of broiler chickens. In addition, zeolite, with a porous structure and adsorption characteristics which are similar to those of Plg, could reduce the abundance of ARGs in sludge compost (Zhang et al. Reference Zhang, Chen, Sui, Tong, Jiang, Lu, Zhang and Wei2016a) and decrease the abundance of some ARGs in the cecal content of broilers (Qu et al. Reference Qu, Cheng, Chen, Li, Zhao and Zhou2019). These findings may suggest that dietary Plg supplementation could help to reduce the abundance of cecal ARGs in vivo.
The objective of the present study was to determine whether dietary Plg supplementation would influence the cecal microbiota of Partridge Shank chickens fed with antibiotics, and to assess the potential of Plg for the attenuation of ARGs induced by chlortetracycline (CTC).
Materials and Methods
Palygorskite
The Plg used in the present study was provided by Jiangsu Huida Mining Sci-Technology Co., Ltd. (Xuyi County, Jiangsu Province, P.R. China). The main chemical components of the Plg were listed as follows: SiO2, 54.74%; Al2O3, 9.37%; Fe2O3, 6.88%; MgO, 7.03%; CaO, 2.82%; K2O, 1.41%; Na2O, 0.14%. The X-ray diffraction (XRD) patterns of Plg were collected using an X’pert PRO X-ray power diffractometer equipped with a CuKα radiation source (λ = 0.1541 nm; 40 kV, 40 mA) (PANalytical Co., Ltd., Almelo, The Netherlands). All XRD patterns were obtained over the range 3 to 80°2θ at a scanning speed of 8.34°2θ/min. Scanning electron microscopy (SEM) of Plg was performed using a field emission scanning electron microscope (JSM-6701F, JEOL, Tokyo, Japan), and transmission electron microscopy (TEM) images were captured using a JEM-1200 EX/S TEM instrument (JEOL, Tokyo, Japan).
Experimental Design, Diets, and Management
All experimental procedures involving animals were approved by the Nanjing Agricultural University Institutional Animal Care and Use Committee. A total of 256 one-day-old, mixed-sex, Partridge Shank chicks with similar hatching weights were divided randomly into four groups. This trial consisted of a 2 × 2 factorial design with two levels of CTC (Jinhe Biotechnology Co. Ltd. Hohhot, P.R. China) (0 or 50 mg/kg) and Plg (0 or 10 g/kg) for 50 days. Each of these groups contained eight replicates with eight chicks per replicate. The four treatments were designated as follows: (1) CON group – birds received a basal diet; (2) CTC group – birds received a basal diet supplemented with 50 mg/kg CTC; (3) Plg group – birds were fed a basal diet supplemented with 10 g/kg Plg; and (4) CP group – birds were fed a basal diet supplemented with a combination of 50 mg/kg CTC and 10 g/kg Plg. The basal diet was formulated according to the recommendation by the National Research Council (1994) to meet the nutritional requirements of the chicks. Birds were housed in 3-level cages (120 cm × 60 cm × 50 cm) in an environmentally controlled room. Continuous light was provided in the chicken house, and the temperature of the experimental room was set at 32–34°C for the first 3 days and then reduced by 2–3°C per week to a final temperature of 20°C. Feed and fresh water were available ad libitum throughout the trial.
Sample Collection
One bird from each replicate was selected randomly and weighed after feed deprivation for 12 h after 50 days of the experiment. The birds were euthanized by cervical dislocation. Cecal pouches were opened immediately using sterile scissors, and the contents were recovered into sterile cryovials. All samples were frozen immediately in liquid nitrogen and stored at –80°C for further analysis.
DNA Extraction
Total genomic DNA was extracted from the cecal contents of each chicken using a QIAamp® Fast DNA Stool Mini Kit (QIAGEN, Duesseldorf, Germany), following the manufacturer’s instructions. The concentration of DNA was measured thereafter using a NanoDrop ND-1000UV spectrophotometer (NanoDrop Technologies, Wilmington, Delaware, USA) to ensure that an adequate concentration of high-quality genomic DNA had been extracted. The DNA extractions were stored at –20°C for future experiments.
PCR Enrichment of the V3–V4 Region, and Pyrosequencing
The V3–V4 region of the bacteria’s 16S ribosomal RNA (rRNA) gene was amplified by PCR with barcode-indexed primers, using TransStart® FastPfu Polymerase. Amplicons were then purified by gel extraction (AxyPrep DNA Gel Extraction Kit, Axygen Biosciences, Inc., Union City, California, USA). The purified amplicons were pooled in equimolar concentrations, and paired-end sequencing was performed using an Illumina MiSeq instrument (Illumina Inc., San Diego, California, USA).
Following sequencing, the reads were de-multiplexed into samples according to the barcodes using the QIIME software pipeline (Caporaso et al. Reference Caporaso, Kuczynski, Stombaugh, Bittinger, Bushman, Costello, Fierer, Pena, Goodrich, Gordon, Huttley, Kelley, Knights, Koenig, Ley, Lozupone, McDonald, Muegge, Pirrung and Knight2010) with the default parameters. Primer and barcode sequences were removed. Operational taxonomic units (OTUs) clustering was performed at a 97% similarity threshold using the QIIME pipeline (Caporaso et al. Reference Caporaso, Kuczynski, Stombaugh, Bittinger, Bushman, Costello, Fierer, Pena, Goodrich, Gordon, Huttley, Kelley, Knights, Koenig, Ley, Lozupone, McDonald, Muegge, Pirrung and Knight2010). Rarefaction was performed on the OTUs table to prevent methodological artifacts arising from varying sequencing depths. α-diversity was measured by species richness from the rarefied OTU table. β-diversity was estimated by computing weighted UniFrac and was visualized with principal coordinate analysis (PCoA). The relative abundances of the taxa at the phylum and genus levels were then calculated.
Quantification of tet, intI1, and 16S rRNA Genes
Quantitative real-time polymerase chain reaction (qPCR) was used to quantify the presence of tet(A), tet(E), tet(K), tet(M), tet(W), tet(X), and intI1 genes as well as 16S rRNA genes (as a measure of bacterial biomass). As the genes found most often in genomes of culturable bacteria conferring resistance to tetracycline, the aforementioned six genes encoded three known resistance mechanisms as follows; efflux pump mechanism: tet(A), tet(E), and tet(K); ribosomal protection mechanism: tet(M) and tet(W); and enzymatic modification mechanism: tet(X) (Chopra and Roberts Reference Chopra and Roberts2001). The intI1 gene was also measured because of its essential role in the spread of antibiotic resistance (Mazel Reference Mazel2006).
All target genes including the 16S rRNA gene were quantified by qPCR, performed by utilizing SYBR® Premix Ex Taq TM (TaKaRa Biotechnology, Dalian, P.R. China) according to the manufacturer's protocol, and qPCR was conducted on a QuantStudio 5 Real-time PCR System (Applied Biosystem, Life Technologies, California, USA). The qPCR conditions were: preheat denature at 95°C for 30 s, perform 40 cycles of denaturation at 95°C for 5 s, then anneal at 60°C for 30 s. At the end of the PCR procedure, melting-curve analysis of the amplification products was performed following this process: one cycle of denaturation at 95°C for 10 s, then a temperature increase from 65 to 95°C with a temperature change rate of 0.5°C/s. The primer sequences targeting the tetracycline resistance genes are listed in Table 1. Agarose electrophoresis was used to examine the specificity of PCR products, followed by a purification step using the Geneclean spin kit (TSINGKE Biological Technology, Beijing, P.R. China), according to the manufacturer’s instructions.
Table 1 Sequences used for real-time PCR
The purified PCR products of target genes were ligated into pClone007 Simple vector (TSINGKE Biological Technology, Beijing, P.R. China) and then transformed into competent Escherichia coli DH5α (TSINGKE Biological Technology, Beijing, P.R. China). The recombinant plasmids were sequenced and BLAST (Basic Local Alignment Search Tool) was used in the Genbank database to confirm that the target gene had been transformed successfully into the recombinant plasmid. The concentration of recombinant plasmids was determined using a NanoDrop ND-1000UV spectrophotometer (NanoDrop Technologies, Wilmington, Delaware, USA) and then tenfold serially diluted to establish the standard curves. The copy number of target genes in unknown samples was calculated by Ct values according to a previous study (Pfaffl Reference Pfaf2001). Furthermore, to minimize variance caused by differences in background bacterial abundance and DNA manipulation efficiencies, the relative abundances of tet genes and intI1 were calculated on the basis of their absolute copy numbers normalized to that of 16S rRNA genes.
Statistical Analysis
Two-way analysis of variance (ANOVA) was employed to determine the main effects (CTC level and Plg level) and their interactions by using the general linear model (GLM) procedure of SPSS statistical software (SPSS Inc., Chicago, Illinois, USA). Differences among the treatments were examined by one-way ANOVA using the Tukey's multiple comparison tests. Differences were considered significant when P values were < 0.05, and P values between 0.05 and 0.10 were regarded as a trend. Pearson bivariate correlation analysis was performed using SPSS 25.0 to reveal relevance between tet genes and intI1.
Results
Characterizations of Plg
The XRD patterns of the Plg sample used in the present study contained peaks at 8.42°2θ (d = 1.0496 nm), 13.84°2θ (d = 0.6395 nm), 16.46°2θ (d = 0.5383 nm), 19.82°2θ (d = 0.4477 nm), and 34.97°2θ (d = 0.2565 nm) (Fig. 1a), which were attributed to the (110), (200), (130), (040), and (400) planes of Plg. Peaks at 26.72 and 31.03°2θ were attributed to the presence of quartz and dolomite impurities. The rod-like crystals of Plg were observed in the SEM and TEM images (Fig. 1b, c).
Microbial Diversity Indices
Rarefaction curves based on the number of OTUs indicated that the sequences generated per sample were adequate to define and compare the bacterial diversity among the groups (Fig. 2a). The mean of Good’s coverage for all the samples was high (> 98%). α-diversity was determined using Chao1, Shannon index, phylogenetic diversity tree (PD-whole tree), and observed-species index calculations (Fig. 2b). Broilers receiving Plg exhibited an increase in the α-diversity indices including Chao1, PD-whole tree, and observed-species as compared with those given a diet without Plg supplementation (P < 0.05). Furthermore, compared with the non-CTC treated group, a trend for greater bacterial richness assessed by the aforementioned α-diversity indices was also observed for birds given a diet supplemented with 50 mg/kg CTC (P < 0.05). Although values from the Shannon indices were less distinct with addition of dietary Plg, it still showed a definite increasing trend (P = 0.090).
β-diversity was determined using the phylogeny-based weighted UniFrac distance matrices (Fig. 3b). PCoA was performed to visualize and scale the dissimilarity matrices in a two dimensional space, in which coordinate 1 and coordinate 2 representing 19.64% and 11.65% of the observed variation, respectively, and overlap among the four groups were observed.
Taxonomic Composition
At the phylum level, 28 prokaryotic phyla were found in all groups (Fig. 4a), but only three were core microbiota: Firmicutes (50.09%), Bacteroidetes (43.03%), and Proteobacteria (3.66%). The three phyla accounted for 97% of the total phyla. At the phylum level, Firmicutes was found more abundant in the cecal microbiota of chickens provided with dietary Plg supplementation than those without (P < 0.05), and a similar trend was observed for the abundance of Proteobacteria (P = 0.074).
At the bacterial genus level, unidentified bacteria in the four experimental groups accounted for 15.2%. Broilers with a diet containing Plg supplementation exhibited a greater richness of Alistipes compared to their counterparts which received Plg-free diets (P < 0.01). Neither Alistipes nor Bacteroidetes was influenced by dietary CTC inclusion, however (P > 0.05).
Relative Abundance of ARGs
The relative abundance of tet genes and intI1 in the cecal contents of Partridge Shank chickens are shown in Fig. 5. Dietary supplementation with Plg induced a decrease in the relative abundance of tet(K) (P < 0.05), regardless of CTC administration. Administration of Plg tended to decrease abundance of tet(E) (P = 0.086), tet(M) (P = 0.054), and intI1 (P = 0.058) genes also. Similar trends in reduction were observed in other genes (tet(W), tet(X), and intI1) (Fig. 5). Curiously, a statistically significant increase was found in the relative abundance of tet(A) (P < 0.05).
Fig. 1 a XRD pattern of Plg; b SEM image of Plg; and c TEM image of Plg
Fig. 2 a Richness rarefaction curves for all samples; b comparison of α-diversity index in the four groups
Fig. 3 a Comparison of weighted UniFrac in the four groups; b based on PCoA analysis of weighted UniFrac
Fig. 4 a Relative abundance of cecal microflora at different phyla levels in different groups; b relative abundance of cecal microflora at different genus levels in different groups
Fig. 5 Abundance (normalized to 16S rRNA gene) of tet and intI1 gene targets in the cecal contents of Partridge Shank chickens
Correlation of intI1 with ARGs
In the present study, correlation analysis was performed to relate intI1 and ARGs occurrence. Only tet(K) and tet(X) were found to have a weak positive correlation with the presence of intI1 (r = 0.529 and 0.590, respectively; P < 0.01) in the cecal contents of Partridge Shank chickens. No significant correlation was found between intI1 and other ARGs (tet(A), tet(E), tet(M), and tet(W)) (P > 0.05).
Discussion
Characterization of the Bacterial Community
The bacterial community was characterized by 16S rRNA V3-V4 hypervariable amplicon sequencing to gain a more in-depth insight into the microbial ecology of the cecal microbiota, which plays an essential role in nutrient pre-processing, assimilation, and energy harvest from food (Ghosh et al. Reference Ghosh, Sen Gupta, Bhattacharya, Yadav, Barik, Chowdhury, Das, Mande and Nair2014). Species richness and diversity statistics, including Chao1, PD-whole tree, and observed-species, were increased significantly with dietary CTC supplementation in the present study. As is generally accepted, administration of antibiotics may reduce the number of bacteria. Due to the vast diversity of microbiota and different test conditions, the results can vary greatly, however. In an in vitro study, Plg treatment enriched microbial abundance and community diversity in sewage treatment (Duan et al. Reference Duan, Niu, Xu, Li and Fu2017), and in an in vivo study, dietary montmorillonite increased the cecal microflora diversity of laying hens (Chen et al. Reference Chen, Peng, Qu and Ji2017). Consistently in the present study, dietary Plg supplementation exerted beneficial effects on cecal microbiota diversity, which may be attributed to the adhesion of microbes onto minerals (Barr Reference Barr1957; Henao and Mazeau Reference Henao and Mazeau2008).
Microbial taxon composition and relative abundance varied dramatically among the four groups. At the phylum level, Partridge Shank chickens’ microbiota consisted predominantly of Bacteroidetes and Firmicutes, which had also been found to be the case previously in chickens’ cecal populations (Oakley and Kogut Reference Oakley and Kogut2016). Previous studies had indicated, moreover, that the mechanism of action of antibiotics as growth promoters was related to interactions with the intestinal microbial population (Feighner and Dashkevicz Reference Feighner and Dashkevicz1987). The use of antibiotics inhibited the growth of certain species, thus enabling selected species to survive (La-Ongkhum et al. Reference La-Ongkhum, Pungsungvorn, Amornthewaphat and Nitisinprasert2011), thereby affecting the microbial structure. The results obtained in the present study were not entirely consistent with those findings mentioned above; however, a definite increase was observed in the abundance of Bacteroidetes at genus level. The discrepancy may be related to the type or dosage of antibiotics administered. Furthermore, compared with the Plg-free treatment, a dramatic decrease in the number of Firmicutes was observed at the phylum level classification, even though Alistipes was found to be more abundant in the bacterial genus level with dietary Plg supplementation. The previous study (Chalvatzi et al. Reference Chalvatzi, Kalamaki, Arsenos and Fortomaris2016) provided evidence that dietary inclusion of Plg could alter the growth of particular bacterial groups, thus modulating the cecal microbiota composition of laying pullets (Chalvatzi et al. Reference Chalvatzi, Kalamaki, Arsenos and Fortomaris2016). The latter authors suggested that the inclusion of Plg in the diets could induce an improvement in feed utilization and nutrient absorption in the proximal intestine that alters the substrate availability, which influences the composition of the cecal bacterial community thereafter.
Relative Abundance of ARGs
In the current research, tet(X) and tet(W) were the dominant tet genes. Tet(X) encodes an enzyme that modifies and inactivates the tetracycline molecule (Speer et al. Reference Speer, Bedzyk and Salyers1991), and its natural host Bacteroides (Chopra and Roberts Reference Chopra and Roberts2001) was confirmed to be the most abundant genus in the present study. In addition, tet(W) was found to be the most abundant genus in feces of cattle (Harvey et al. Reference Harvey, Funk, Wittum and Hoet2009), supporting the predominance of tet(X) and tet(W) in the present study. The tet(E) gene is associated with large plasmids which are neither mobile nor conjugative (Depaola and Roberts Reference Depaola and Roberts1995); this may explain its limited predominance in the cecal contents of broilers. The numerical difference in the relative abundance of ARGs could be attributed to host compositions and their potential transferability, therefore.
In the present study, the effect of Plg dietary supplementation yielded a reduction in tet(K), and also tended to reduce the abundance of tet(E), tet(M), and IntI1. This finding was in agreement with the results of Qu et al. (Reference Qu, Cheng, Chen, Li, Zhao and Zhou2019), who suggested that dietary supplementation of zeolite, possibly due to its porous structure, reduced significantly the relative abundance of some ARGs which might reduce the rate of microbe contact and, therefore, of HGT through conjugation (Zhang et al. Reference Zhang, Chen, Sui, Tong, Jiang, Lu, Zhang and Wei2016a). Beyond that, speculation that kaolinite could regulate the gene expression pattern and metabolism of bacteria against low-dose antibiotic stress was verified by Lai et al. (Reference Lai, Wu, Ruan, Liu, Liu, Zhu and Dang2019), thereby reducing the possibility of ARGs development and transmission. Furthermore, previous research confirmed that the change in ARGs is closely related to the shift in microbial communities (Qian et al. Reference Qian, Sun, Gu, Wang, Zhang, Duan, Li and Zhang2016), which has also been altered by Plg administered in the present study. Plg has a similar porous structure to zeolite and kaolinite, and has the ability to adsorb both Escherichia coli (Cai et al. Reference Cai, Zhang, Ouyang, Ma, Tan and Peng2013) and antibiotics (Chang et al. Reference Chang, Li, Yu, Munkhbayer, Kuo, Hung, Jean and Lin2009), both relevant to the development of ARGs, thus indicating that Plg administration could reduce the selective pressure, eliminate potential host bacteria for ARGs, and, consequently, decrease the occurrence of ARGs. The relative abundance of tet(A) increased significantly with dietary Plg supplementation, which may be associated with the antibiotic selection and the relative growth of hosts. In other words, the host bacteria containing tet(A) is more resistant to CTC administered throughout the trial period. The related underlying mechanism requires further study.
Integrons are bacterial mobile elements that are responsible for genetic transfer between the environmental resistome and both commensal and pathogenic bacteria (Gillings et al. Reference Gillings, Gaze, Pruden, Smalla, Tiedje and Zhu2015). IntI1, encoding the integrase of class 1 integrons, can facilitate the occurrence of HGT, which is frequently reported to carry one or more gene cassettes that encode antibiotic resistance (Henriques et al. Reference Henriques, Fonseca, Alves, Saavedra and Correia2006; Mendes et al. Reference Mendes, Castanheira, Toleman, Sader, Jones and Walsh2007). A former study showed that removal of ARGs may also be associated with a reduction in HGT (Zhang et al. Reference Zhang, Li, Gu, Qian, Yin, Li, Zhang and Wang2016c) and intI1 can be used as an essential indicator of the removal and reduction of ARGs in the environment (Wang et al. Reference Wang, Qiao, Lv, Guo, Jia, Su and Zhu2014). In the present experiment, only a weak correlation between intI1 and some of the ARGs was observed, indicating that the potential of lateral transfer for ARGs is relatively small, consistent to some extent with previous studies in which no correlation was observed (Zhang et al. Reference Zhang, Chen, Sui, Wang, Tong and Wei2016b). In the present study, Plg addition tended to reduce the abundance of intI1, suggesting that the trend for HGT could also be attenuated. Dietary Plg supplementation decreased the relative abundance of ARGs, and the removal rates of tet(E), tet(K), tet(M), tet(W), tet(X), and intI1 were 81.35%, 72.29%, 90.20%, 19.4%, 23.09%, and 35.29%, respectively, which may be because Plg could adhere to or kill harmful bacteria, thereby reducing the possibility of gut bacteria producing ARGs and preventing the spread of ARGs by HGT.
Conclusions
The currently available results revealed that dietary Plg supplementation caused an increase in the microbial diversity of broilers, along with the changes in the microbial community structure of cecal microbes. Furthermore, administration of Plg reduced the relative abundance of the six representative tet genes encoding different resistance mechanisms, and especially in the case of tet(K). Moreover, Plg addition had a downward trend in the relative abundance of intI1 involved in proliferation of ARGs. The overall results showed that Plg may represent a potentially practical approach to attenuate ARGs and limit dissemination to the environment, thus reducing potential risks to animal and human health.
ACKNOWLEDGMENTS
The study was funded by the National Natural Science Foundation of China (No. 31872405), P.R. China.
Funding
Funding sources are as stated in the Acknowledgments.
Declarations
Conflict of Interest
The authors declare that they have no conflict of interest.
