- Original article
- Open Access
Fecal microbial composition and functional diversity of Wuzhishan pigs at different growth stages
AMB Express volume 11, Article number: 88 (2021)
The mammalian gut microbiome participates in almost all life processes in the host. In addition to diet, the breed is the main factor affecting changes in the swine gut microbiota. The composition of the gut microbiota changes significantly during different growth stages. Research on developmental changes in the gut microbiota of indigenous Chinese pig breeds is limited. In this study, the fecal microbiota of Wuzhishan pigs (a Chinese indigenous miniature pig) at different growth stages was investigated using high-throughput 16S rRNA sequencing. Firmicutes and Bacteroidetes were the two dominant phyla, accounting for more than 80% of all sequences. With increasing age, the fecal microbial diversity increased, and the proportion of Firmicutes increased, whereas the proportion of Bacteroidetes decreased. A total of 49 biomarkers with statistical differences were detected in the four growth stages. The different microbiota among groups enhanced the ability to degrade fiber, carbohydrates, and other substances during the growth stages. The endocrine system was different in multiple growth stage paired comparisons, which was attributed to the different body statuses in the growth stages. This study revealed developmental changes in the structure and function of gut microbes in local pigs.
From birth to market, the gut microbiome of pigs during the entire growth period is not immutable, but rather a dynamic development process. A high degree of microbial diversity has been observed in the meconium of newborn piglets, with Bacteroides, Firmicutes, Proteobacteria, and Fusobacteria dominating at birth. Despite their low concentrations, these microorganisms may act as stains to promote the development of the pig gut microbiome during the subsequent growth stages. After birth, piglets develop a simple microbial environment in their gastrointestinal tract, which is affected by the maternal birth canal, feces, and surrounding environment microorganisms. Over time, anaerobes inhibit the proliferation of aerobes and facultative aerobes and gradually dominate the colonizing bacteria (Heinritz et al. 2013; Leser et al. 2002). During the lactation period, bacteria such as Lactobacillus and Streptococcus can more effectively use the nutrients in breast milk; therefore, this type of bacteria has an advantage in the stomach and small intestine of piglets (Derrien and Vlieg 2015). On the first day of birth, various bacteria begin to colonize the intestinal segments of piglets. After 1 to 3 weeks, bifidobacteria, Escherichia coli, Lactobacillus, Peptococcus, and Bacteroides gradually increase and become the dominant bacteria in the intestinal tract (Ducluzeau 1983). Before weaning, the microbial community structure dominated by anaerobic bacteria is very unstable. Weaning isolation, feed, and living environment changes can quickly disrupt the balance of the original intestinal microbial community and gradually form a new state of balance of the microbial community structure. The drastic changes in the intestinal microbiota under various stimuli gradually return to a normal and stable state of balance as the interfering factors are eliminated (Dethlefsen et al. 2008; Melin et al. 2004).
Firmicutes and Bacteroidetes are the dominant bacteria in the gut microbes of pigs before and after weaning, accounting for more than 90% of all bacteria by 16S rDNA sequencing (Kim et al. 2011). At the genus level, the proportion of Bacteroides from the higher abundance before weaning was significantly reduced after weaning, and Prevotella and Clostridium became the dominant genera (Pajarillo et al. 2014a).
Gut microbes are also influenced by pig genotypes. A high abundance of Firmicutes and a low abundance of Bacteroidetes are found in the intestines of obese pigs (Guo et al. 2008), and the number of specific microbes varies among different pig breeds. With increasing age, the number and abundance of dominant bacteria change. Su et al. confirmed that different pig breeds and growth stages influenced intestinal microorganisms; however, there was no significant difference in intestinal microorganisms among different pig breeds, while different growth stages influenced the intestinal microbial composition (Su et al. 2014). By studying the differences in gut microbes in eight pig breeds, Yang et al. distinguished the types of pig gut microbes. Among them, the intestinal microbes of foreign breeds of Landrace, Yorkshire, and Duroc had a high similarity, whereas some breeds of local pigs, Bama pigs, Erhualian pigs, and a few Meishan pigs had high similarity in their gut microbial structure, and some unique microorganisms were found in Chinese local breeds (Yang et al. 2014).
Compared with foreign pig breeds, Chinese local pig breeds have disadvantages of slow growth rate, low lean meat rate, long feeding cycle, and high cost. However, local pig breeds have the unique advantages of a high reproduction rate, strong disease resistance, and good meat quality. The Wuzhishan minipig is a special pig in China, initially grazing in isolated tropical areas in Hainan, and is one of the distinctive local pig genetic resources in China. It has a good meat quality, resistance to coarse feeding and high temperature, and is an ideal animal model for scientific research. The growth conditions of Wuzhishan pigs are close to Southeast Asia, hot and humid climate, lush vegetation, prompting the pigs have differences with intensive commercial species in physical and life mode. Research on the germplasm characteristics of Wuzhishan pigs has not received enough attention in China, mostly focusing on genetic inheritance and cloning. Understanding the characteristics of local pigs can help to fully explore the genetic resources of local pigs, give full attention to their genetic potential, and implement the development of local pig products to improve the utilization rate, increase the economic breeding benefits, and promote the conservation, development, and utilization of local pigs. In the present study, we explored the growth stage differences in the composition and function of fecal microorganisms in Wuzhishan pigs using 16S rRNA gene sequencing. Our findings provide an important reference for more in-depth studies on the complex interactions between the microbiome and indigenous pigs.
Materials and methods
Experimental animals and sample collection
All Wuzhishan pigs were collected from a commercial farm in Wenchang, Hainan Province, China. The animals were housed in a semi-enclosed room with an ambient temperature of 25–35 °C. Fresh fecal samples were collected from individual pigs in four growth stages: pre-weaning (PW, 2.5–3.5 kg, n = 4), weaning piglet (WP, 3.5–4.5 kg, n = 6), growing pig (GP, 7–10 kg, n = 4), and sow (SP, 20–26 kg, n = 7). The pigs were provided with a commercial diet with ad libitum access to cleanwater. All animals were healthy and did not receive any antibiotics during the study. Each fresh fecal sample was collected randomly from each pen and stored in a 2 mL centrifuge tube and kept on ice during transportation. All samples were stored in a − 80 °C freezer for cryopreservation until DNA extraction.
DNA extraction and polymerase chain reaction (PCR) amplification
Fecal microbial genomic DNA was extracted using the QIAamp DNA Stool Mini Kit (Qiagen Ltd., Hilden, Germany), following the manufacturer’s standard protocol. The V3-V4 region of the bacterial 16S rDNA was PCR-amplified using the forward primer 338F (5′-ACTCCTACGGGAGGCAGCA-3′) and reverse primer 806R (5′-GGACTACHVGGGTWTCTAAT-3′). The total reaction volume was 30 µL and the GeneJET Gel Extraction Kit (Thermo Fisher Scientific, Waltham, MA, USA) was used to purify the PCR products following the manufacturer’s protocol. The constructed library was sequenced on an Illumina HiSeq 2500 platform (2 × 250 paired ends).
16S rRNA gene sequence assembly and clustering
Sequencing was performed by Biomarker Technologies Corporation (Beijing, China). After merged using FLASH version 1.2.7 (Magoc and Salzberg 2011) and quality controlled using Trimmomatic version 0.33 and UCHIME version 4.2 (Bolger et al. 2014; Edgar et al. 2011), sequences with at least 97% similarity to obtain operational taxonomic units (OTUs) were clustered using USEARCH version 10.0 (Edgar 2013). OTUs with a threshold of 0.005% of the total sequences were filtered out. Representative sequences of OTUs were screened and taxonomically analyzed against the 16S rRNA microbial reference database Silva, using the Ribosomal Database Project Classifier version 2.2 (Quast et al. 2013). The relative abundance of each OTU was assessed in each sample by counting the number of tags. Community composition was assessed at the phylum and genus levels using the QIIME version 1.8.0 (Caporaso et al. 2010).
Diversity analysis and functional predictions
Mothur version v.1.30 (Schloss et al. 2009) was used to evaluate alpha diversity indices. QIIME software (version 1.8.0) was used to calculate beta diversity by principal coordinate analysis based on weighted UniFrac distances (Lozupone et al. 2011; Segata et al. 2011). The line discriminant analysis effect size (LEfSe) was used to identify biomarkers with significant differences in abundance among different groups (Looft et al. 2012; Segata et al. 2011). Functional predictions were performed using PICRUSt (Langille et al. 2013).
OTU clustering and taxonomy analysis
After quality filtering, we obtained 1,474,150 effective reads from 21 fecal samples with an average length of 417 base pairs. Each sample contained approximately 70 000 sequences on average (Additional file 1: Table S1), ranging from 31,732 to 56,822 reads. A total of 708 OTUs were detected, of which 569 were shared among all groups (Additional file 2: Fig. S1). The Chao1 index of the PW group was lower than that of the WP and GP groups. The GP group had significantly higher alpha indices than the PW group. The Simpson index was higher in the SP group than in the PW group (Additional file 3: Fig. S2).
Firmicutes and Bacteroidetes were the two dominant phyla, accounting for more than 80% of all sequences in each group (Fig. 1A). The proportion of Firmicutes in the PW group was 51.98% and 75.85% in the SP group, whereas the proportion of Bacteroidetes was 41.24% in the PW group and 17.28% in the SP group. The relative abundance of Spirochaetes was 7.85% in the WP group and 3.55%, 2.65%, and 0.84% in the PW, GP, and SP groups, respectively. Actinobacteria accounted for 5.54% in the GP group and no more than 3% in the other three groups.
At the genus level, the proportion of Lactobacillus was 13.18%, 23.29%, 7.46%, and 10.95% in the PW, WP, GP, and SP groups, respectively (Fig. 1B). Uncultured_bacterium_f_Muribaculaceae (S24-7) in the PW group was 27.46%, whereas it was 6.43%, 8.55%, and 3.90% in the WP, GP, and SP groups, respectively. The proportion of Ruminococcaceae_NK4A214_group was more than 10% in the PW (10.08%) and WP (10.42%) groups, and less than 5% in the GP (1.80%) and SP (4.96%) groups. The relative abundances of Romboutsia accounted for 1.16% in the PW and 2.02% in the WP groups, and 8.00% in the GP and 9.57% in the SP groups.
Comparison of fecal microorganisms among the four pig groups
The principal coordinate analysis revealed that samples from the different growth stages showed more distant separation, whereas samples from the same group were more similar (Additional file 4: Fig. S3). Samples in the PW group were clustered and far away from the other three groups, indicating that the gut microbial structure of PW piglets was significantly different from that of the other stages. While the samples within the groups were close to each other, indicating that these samples were similar (Additional file 5: Fig. S4).
A total of 49 biomarkers with statistical differences were detected using LEfSe (8 in the PW, 11 in the WP, 17 in the GP, and 13 in the SP groups) in Fig. 2. Bacteroidetes was significantly enriched in the PW group, Spirochaetes was enriched in the WP group, the relative abundance of Actinobacteria was highest in the GP group, and the SP group was significantly enriched in the phylum Firmicutes. A total of 11 genera could be potential biomarkers to distinguish the growth stages of pigs. The genus Prevotella_1 was significantly enriched in the PW group, Treponema_2 and Ruminococcaceae_NK4A214_group were enriched in the WP group, whereas the GP group was significantly enriched in the genera Megasphaera and Bifidobacterium, and the relative abundances of the genera Romboutsia, Terrisporobacter, and Turicibacter were most abundant in the SP group. These significantly different abundances of bacteria were consistent with the taxonomic analysis described above.
Differences of microbial function among the four pig groups
A total of 46 KEGG metabolic pathways were detected in class two. Four groups were compared in pairs, and 24 metabolic pathways were significantly different in all six pairs (Fig. 3, Additional file 6: Fig. S5).
Microbial functional differences between two adjacent growth stages were compared. Four pathways were significantly different between PW and WP, except pathway infection diseases: parasitic, and the other three pathways glycan biosynthesis and metabolism, transport and catabolism, and nervous system were all significantly enriched in the PW group. Folding, sorting, degradation, and the endocrine system were significantly enriched in WP compared with the GP group. The abundance of the digestive system in the GP group was higher than that in SP (Fig. 3). Comparison of other pairs revealed that 12 metabolic pathways were different between the PW and GP groups, including carbohydrate metabolism, metabolism of cofactors and vitamins, folding, sorting and degradation, and cellular community-prokaryotes. Metabolism of cofactors and vitamins, transport and catabolism, membrane transport, and endocrine system were different between the PW and SP groups. In addition, the endocrine pathway was different between the WP and SP groups (Additional file 6: Fig. S5).
Compared with COG, a total of 25 s-level classifications were annotated. Cell wall/membrane/envelope biogenesis and amino acid transport and metabolism enrichment differed between the PW and WP groups. A total of 15 annotations were significantly different between the PW and GP groups, including amino acid transport and metabolism, transcription, replication, recombination and repair, inorganic ion transport and metabolism (Fig. 4). No significant differences were found in other pairwise comparisons.
Pigs are important animal models for human diseases (Niu et al. 2015), especially mini breeds. The Wuzhishan pig is a famous miniature pig breed in China. A highly inbred line is an ideal animal model for medical experiments. The distribution of the gut microbiota across the pig growth stages has been studied previously (Kim et al. 2011, 2012, 2015). Both bacterial abundance and diversity increased with growth stages, and during the weaning period, the pig fecal microbiota shifted, causing a physiologically stressful time for animals (Pajarillo et al. 2014b). After weaning, the composition of the gut microbiota continued to change until market age (Kim et al. 2011). Breeds also have an important effect on the structure of gut microbiota. Several bacterial taxa differentially exist within specific intestinal segments in Landrace and Jinhua pigs, a Chinese indigenous slow-growing breed with a high propensity for fat deposition. Functional prediction of microorganisms showed that the fatty acid biosynthesis pathway of Jinghua pigs was higher than that of Landrace pigs, partially explaining their adiposity phenotype (Xiao et al. 2018). Compared with the obese Erhualian pigs, the diversity and density of methanogens in the feces of lean-type Landrace pigs were higher (Luo et al. 2012). The goal of the present study was to investigate the characteristics of the gut microbiota in different growth stages, including pre-weaning and weaning piglets, growing pigs, and sows of the Wuzhishan miniature breed, to elucidate the changes in the microbial structure and its correlation with age, and the gut microbial specificity of indigenous miniature pigs.
The Chao1 index explored bacterial abundance, and the Simpson and Shannon indices explored bacterial diversity. The microbial complexity before weaning was significantly lower than during the grower stage, which was consistent with previous studies using other pig breeds (Kim et al. 2011; Mach et al. 2015; Niu et al. 2019, 2015). Firmicutes and Bacteroidetes were the two dominant phyla, representing more than 80% of all sequences in each group. With increasing age, the proportion of Firmicutes increased, whereas the proportion of Bacteroidetes decreased. Similar results were observed in pig and human fecal samples in previous studies (Isaacson and Kim 2012; Kim et al. 2011, 2015). The LEfSe analysis showed that Spirochaetes had significant variation in the feces of the WP group, whereas Actinobacteria was enriched in the GP group. Many species of Treponema, belonging to Spirochaetes, have been reported to be pathogenic bacteria (Stamm et al. 2009), and the proportion of the genus Treponema in feces might indirectly reflect the health status of animals. Because of weaning stress and environmental changes, the proportion of pathogenic bacteria in weaned pigs may increase. At the genus level, the structures of dominant genera in the GP and SP groups were different before and after weaning. The proportion of Romboutsia and Turicibacter increased, which was linked to fat accumulation (Guo et al. 2018) and butyric acid (Yin et al. 2018). The present study and previous research showed discrepancies, which may be due to the use of pigs of different ages, environmental conditions, or breeds (Niu et al. 2019).
Through the comparison of KEGG pathways, compared with the WP group, the fecal microorganisms of the PW group showed functional enrichment in glycan biosynthesis and metabolism, transport and catabolism, and the nervous system. During this period, the living environment of piglets changes dramatically, the structure of the gut microbiota changes accordingly, and the functional pathways related to substance digestion and intestinal health may appear to be different. The WP group had more enriched pathways related to folding, sorting, degradation, and the endocrine system than the GP group. The endocrine system pathway was also different in other paired comparisons, with enrichment in fecal microbiota of pre-weaning and post-weaning piglets than in sows. Endocrine regulation changes dramatically with age; therefore, microorganisms may also vary in their corresponding metabolic pathways. The GP and SP groups had different digestive systems. Compared to the SP group, the GP group was not fully mature in their physical development. The gut microbiota may assist the digestive system in digesting certain amounts of material.
Previous studies have found that the abundance of Clostridium and Turicibacter was positively correlated with apparent ether extract digestibility, whereas Anaerofustis and Robinsoniella were positively correlated with apparent crude fiber digestibility in sow fecal samples (Niu et al. 2019, 2015). Pigs at different growth stages have different abilities to digest materials, and the difference in microorganisms is closely related to the digestibility of materials. These differences reveal the differences in the regulation of basic functions of intestinal microorganisms and could signal differences between growth stages in gut function.
Future research should examine more closely at the characteristics of gut microbial composition of local pigs at various growth stages, and the production efficiency of animals by regulating the gut microbiome, which would produce a more comprehensive understanding of the breed characteristics and rational utilization of local pigs.
The present study showed clear differences in the gut microbiomes of various growth stages of Wuzhishan pigs. With increasing age, the fecal microbial diversity increased and the proportion of Firmicutes increased, whereas the proportion of Bacteroidetes decreased. The basic microbial composition was similar to that of other breeds; however, the relative abundance was specific. The different microbiota among groups enhanced the ability to degrade fiber, carbohydrates, and other substances during growth stages. The endocrine system was different during the multiple growth stage paired comparison, which was attributed to the different body statuses during the growth stages. The present study revealed the developmental changes in the structure and function of the gut microbes of local pigs and provided an important reference for future research on nutritional regulation by the gut microbiota.
Availability of data and materials
The data have been deposited in the National Center for Biotechnology Information’s Short Read Archive under PRJNA736793.
Bolger AM, Lohse M, Usadel B (2014) Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30:2114–2120
Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, Fierer N, Pena AG, Goodrich JK, Gordon JI, Huttley GA, Kelley ST, Knights D, Koenig JE, Ley RE, Lozupone CA, McDonald D, Muegge BD, Pirrung M, Reeder J, Sevinsky JR, Turnbaugh PJ, Walters WA, Widmann J, Yatsunenko T, Zaneveld J, Knight R (2010) QIIME allows analysis of high-throughput community sequencing data. Nat Methods 7:335–336
Derrien M, Vlieg JETV (2015) Fate, activity, and impact of ingested bacteria within the human gut microbiota. Trends Microbiol 23:354–366
Dethlefsen L, Huse S, Sogin ML, Relman DA (2008) The pervasive effects of an antibiotic on the human gut microbiota, as revealed by deep 16S rRNA sequencing. PLoS Biol 6:e280
Ducluzeau R (1983) Implantation and development of the gut flora in the newborn animal. Ann Rech Vet 14:354–359
Edgar RC (2013) UPARSE: highly accurate OTU sequences from microbial amplicon reads. Nat Methods 10:996–998
Edgar RC, Haas BJ, Clemente JC, Quince C, Knight R (2011) UCHIME improves sensitivity and speed of chimera detection. Bioinformatics 27:2194–2200
Guo X, Xia X, Tang R, Wang K (2008) Real-time PCR quantification of the predominant bacterial divisions in the distal gut of Meishan and Landrace pigs. Anaerobe 14:224–228
Guo WL, Pan YY, Li L, Li TT, Liu B, Lv XC (2018) Ethanol extract of Ganoderma lucidum ameliorates lipid metabolic disorders and modulates the gut microbiota composition in high-fat diet fed rats. Food Funct 9:3419–3431
Heinritz SN, Mosenthin R, Weiss E (2013) Use of pigs as a potential model for research into dietary modulation of the human gut microbiota. Nutr Res Rev 26:191–209
Isaacson R, Kim HB (2012) The intestinal microbiome of the pig. Anim Health Res Rev 13:100–109
Kim HB, Borewicz K, White BA, Singer RS, Sreevatsan S, Tu ZJ, Isaacson RE (2011) Longitudinal investigation of the age-related bacterial diversity in the feces of commercial pigs. Vet Microbiol 153:124–133
Kim HB, Borewicz K, White BA, Singer RS, Sreevatsan S, Tu ZJ, Isaacson RE (2012) Microbial shifts in the swine distal gut in response to the treatment with antimicrobial growth promoter, tylosin. P Natl Acad Sci USA 109:15485–15490
Kim J, Nguyen SG, Guevarra RB, Lee I, Unno T (2015) Analysis of swine fecal microbiota at various growth stages. Arch Microbiol 197:753–759
Langille MGI, Zaneveld J, Caporaso JG, McDonald D, Knights D, Reyes JA, Clemente JC, Burkepile DE, Thurber RLV, Knight R, Beiko RG, Huttenhower C (2013) Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences. Nat Biotechnol 31:814
Leser TD, Amenuvor JZ, Jensen TK, Lindecrona RH, Boye M, Moller K (2002) Culture-independent analysis of gut bacteria: the pig gastrointestinal tract microbiota revisited. Appl Environ Microbiol 68:673–690
Looft T, Johnson TA, Allen HK, Bayles DO, Alt DP, Stedtfeld RD, Sul WJ, Stedtfeld TM, Chai B, Cole JR, Hashsham SA, Tiedje JM, Stanton TB (2012) In-feed antibiotic effects on the swine intestinal microbiome. Proc Natl Acad Sci USA 109:1691–1696
Lozupone C, Lladser ME, Knights D, Stombaugh J, Knight R (2011) UniFrac: an effective distance metric for microbial community comparison. Isme J 5:169–172
Luo YH, Su Y, Wright ADG, Zhang LL, Smidt H, Zhu WY (2012) Lean breed landrace pigs harbor fecal methanogens at higher diversity and density than obese breed erhualian pigs. Archaea. https://doi.org/10.1155/2012/605289
Mach N, Berri M, Estelle J, Levenez F, Lemonnier G, Denis C, Leplat JJ, Chevaleyre C, Billon Y, Dore J, Rogel-Gaillard C, Lepage P (2015) Early-life establishment of the swine gut microbiome and impact on host phenotypes. Environ Microbiol Rep 7:554–569
Magoc T, Salzberg SL (2011) FLASH: fast length adjustment of short reads to improve genome assemblies. Bioinformatics 27:2957–2963
Melin L, Mattsson S, Katouli M, Wallgren P (2004) Development of post-weaning diarrhoea in piglets. Relation to presence of Escherichia coli strains and rotavirus. J Vet Med B Infect Dis Vet Public Health 51:12–22
Niu Q, Li PH, Hao SS, Zhang YQ, Kim SW, Li HZ, Ma X, Gao S, He LC, Wu WJ, Huang XG, Hua JD, Zhou B, Huang RH (2015) Dynamic distribution of the gut microbiota and the relationship with apparent crude fiber digestibility and growth stages in pigs. Sci Rep-Uk 5:1–7
Niu Q, Li P, Hao S, Kim SW, Du T, Hua J, Huang R (2019) Characteristics of gut microbiota in sows and their relationship with apparent nutrient digestibility. Int J Mol Sci 20(4):870
Pajarillo EA, Chae JP, Balolong MP, Kim HB, Seo KS, Kang DK (2014a) Pyrosequencing-based analysis of fecal microbial communities in three purebred pig lines. J Microbiol 52:646–651
Pajarillo EAB, Chae JP, Balolong MP, Kim HB, Kang DK (2014b) Assessment of fecal bacterial diversity among healthy piglets during the weaning transition. J Gen Appl Microbiol 60:140–146
Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, Peplies J, Glockner FO (2013) The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res 41:D590-596
Schloss PD, Westcott SL, Ryabin T, Hall JR, Hartmann M, Hollister EB, Lesniewski RA, Oakley BB, Parks DH, Robinson CJ, Sahl JW, Stres B, Thallinger GG, van Horn DJ, Weber CF (2009) Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol 75:7537–7541
Segata N, Izard J, Waldron L, Gevers D, Miropolsky L, Garrett WS, Huttenhower C (2011) Metagenomic biomarker discovery and explanation. Genome Biol 12:R60
Stamm LV, Walker RL, Read DH (2009) Genetic diversity of bovine ulcerative mammary dermatitis-associated Treponema. Vet Microbiol 136:192–196
Su Y, Smidt H, Zhu WY (2014) Comparison of fecal methanogenic archaeal community between erhualian and landrace pigs using denaturing gradient gel electrophoresis and real-time PCR analysis. J Integr Agr 13:1340–1348
Xiao YP, Kong FL, Xiang Y, Zhou WD, Wang JJ, Yang H, Zhang GL, Zhao JC (2018) Comparative biogeography of the gut microbiome between Jinhua and Landrace pigs. Sci Rep-Uk 8:1
Yang LN, Bian GR, Su Y, Zhu WY (2014) Comparison of faecal microbial community of Lantang, Bama, Erhualian, Meishan, Xiaomeishan, Duroc, Landrace, and Yorkshire Sows. Asian Austral J Anim 27:898–906
Yin J, Li YY, Han H, Liu ZJ, Zeng XF, Li TJ, Yin YL (2018) Long-term effects of lysine concentration on growth performance, intestinal microbiome, and metabolic profiles in a pig model. Food Funct 9:4153–4163
We would like to thank Editage for English language and grammatical editing. The authors are also indebted to the members of the Laboratory of Tropical Animal Breeding, Reproduction, and Nutrition at Hainan University for their expertise.
This research was financially supported by Key Research and Development Project of Hainan Province (Grant No. ZDYF2020094), High-level Talent Project of Basic and Applied Basic Research Plan of Hainan Province (Grant No. 2019RC149) and Education Department of Hainan Province (Grant No. Hnky2019-14).
Ethics approval and consent to participate
The study was conducted in accordance with the Guidelines for Experimental Animals issued by the Ministry of Science and Technology (Beijing, China) and strictly followed the regulations of the People’s Republic of China for quality supervision, inspection, and quarantine (GB/T 17236-2008). All experimental procedures were approved by the Animal Welfare and Ethical committee of Hainan University (permit number: HNUAUCC-2021-00003) and no anesthesia, euthanasia, or any kind of animal sacrifice is part of the study.
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Statistics of sample sequencing data processing results.
Shared OTU analysis of the different groups. PW, fecal microbiota of the preweaning piglets; WP, fecal microbiota of the weaning piglets; GP, fecal microbiota of the growth pigs; SP, fecal microbiota of the sow.
Dynamic changes in intestinal microorganism alpha diversity. (A) Chao1 index; (B) Shannon index, (C) Simpson index. Different letters represent significant differences in alpha diversity indices based on Student’s t-test (* p < 0.05, ** p < 0.01).
Principal coordinates analysis (PCoA) in fecal microbiota of pigs at different grow stages.
Unweighted pair-group method with arithmetic mean (UPGMA) phylogenetic tree analysis.
Analysis of the difference of KEGG metabolic pathway between groups at the second level. Comparison between preweaning piglets and growth pigs, between preweaning piglets and sow, between weaning piglets and sow. The proportion of functional-abundance differences within the 95% confidence interval.
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Shao, M., Wang, Z., He, Y. et al. Fecal microbial composition and functional diversity of Wuzhishan pigs at different growth stages. AMB Expr 11, 88 (2021). https://doi.org/10.1186/s13568-021-01249-x
- Wuzhishan pig
- Fecal microbiota
- 16S rDNA
- Growth stages