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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2022.896660</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Developmental Profiling of Dietary Carbohydrate Digestion in Piglets</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Gao</surname> <given-names>Xiaoqian</given-names></name>
</contrib>
<contrib contrib-type="author">
<name><surname>Yu</surname> <given-names>Bing</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/639158/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Yu</surname> <given-names>Jie</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/999059/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Mao</surname> <given-names>Xiangbing</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/541503/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Huang</surname> <given-names>Zhiqing</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/377604/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Luo</surname> <given-names>Yuheng</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/231904/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Luo</surname> <given-names>Junqiu</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/1393703/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zheng</surname> <given-names>Ping</given-names></name>
</contrib>
<contrib contrib-type="author">
<name><surname>Yan</surname> <given-names>Hui</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/1372766/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>He</surname> <given-names>Jun</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/649812/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Daiwen</given-names></name>
</contrib>
</contrib-group>
<aff><institution>Key Laboratory of Animal Disease-Resistance Nutrition, Ministry of Education, Institute of Animal Nutrition, Sichuan Agricultural University</institution>, <addr-line>Chengdu</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Wenjing Zhao, Sun Yat-sen University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Zheng Ruan, Nanchang University, China; Bi E. Tan, Hunan Agricultural University, China</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Jun He <email>hejun8067&#x00040;163.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Microorganisms in Vertebrate Digestive Systems, a section of the journal Frontiers in Microbiology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>29</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>896660</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>03</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>03</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Gao, Yu, Yu, Mao, Huang, Luo, Luo, Zheng, Yan, He and Chen.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Gao, Yu, Yu, Mao, Huang, Luo, Luo, Zheng, Yan, He and Chen</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>Carbohydrates are the main source of energy in the diet, accounting for the largest proportion in the diets of humans and monogastric animals. Although recent progress has been made in the study of intestinal carbohydrate digestion in piglets, there is a lack of comprehensive study on the dynamic changes in intestinal carbohydrate digestion with age in the early growth stage of piglets. To fill in this gap of knowledge, we collected samples of the small intestine, pancreatic tissues, and colonic digesta from 42 piglets during newborn [day (d) 0], lactation (d 7, 14), weaning (d 21), and nursery (d 28, 35, and 42) stages. Intestinal and pancreatic tissues and colonic digesta were collected at necropsy and analyzed for morphology, digestive enzyme activities, short-chain fatty acids (SCFA), and microbial abundance. Villus height reached a maximum at 1 week (d 7) in the duodenum and jejunum (<italic>P</italic> &#x0003C;0.01), and a higher ratio of villus height to crypt depth and lactase activity were observed on d 0 and 7 (<italic>P</italic> &#x0003C; 0.001) compared to other ages. However, the sucrase and maltase activities were increased with piglets&#x00027; age. Similar activities of sucrase and maltase were found in the small intestine. In addition, amylase, lipase, and protease activities were assayed in the pancreas. The activity of amylase increased with age, while lipase and protease decreased gradually from birth to weaning (d 21, 28) and then increased after weaning (d 35, 42). Compared with d 0, d 42 increased the abundance of <italic>Firmicutes</italic> and <italic>Bacteroidetes</italic> with a higher concentration of total SCFA (<italic>P</italic> &#x0003C; 0.001) and decreased the abundance of <italic>Proteobacteria</italic>, but weaning (d 21, 28) increased the abundance of <italic>Proteobacteria</italic> in the colon. These results indicate that with the increase in piglet age, the carbohydrate digestive function gradually increased, but weaning hindered the development of intestinal function. These results provide us with new insights into the healthy development of piglets&#x00027; intestines, which may help us to better regulate the physiological health of piglets in the future.</p>
</abstract>
<kwd-group>
<kwd>carbohydrate</kwd>
<kwd>microbiome</kwd>
<kwd>birth</kwd>
<kwd>weaning</kwd>
<kwd>piglet</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content></contract-sponsor>
<counts>
<fig-count count="7"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="48"/>
<page-count count="12"/>
<word-count count="7637"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>In recent years, the impact of dietary carbohydrates on health has become one of the main focuses in the field of public health. As one of the three essential nutrients, carbohydrates provide about 60% of energy in the Asian diet (Cui and Dibley, <xref ref-type="bibr" rid="B6">2012</xref>). Therefore, it plays an important role in the nutrition supply of human or monogastric animals during lactation and nursery stages. During lactation, lactase is the main source of energy; after weaning, the starch in food is the main source of energy (Corring et al., <xref ref-type="bibr" rid="B5">1978</xref>). However, due to an immature gastrointestinal tract, young children may experience temporary malabsorption when consuming starchy foods, which may lead to disease in serious cases (Lin, <xref ref-type="bibr" rid="B23">2018</xref>; Shulman, <xref ref-type="bibr" rid="B32">2018</xref>). In contrast to the slow weaning process of human infants, piglets in commercial animal production experienced a huge shift from high-fat, low-carbohydrate breast milk to high-carbohydrate, and low-fat solid feed in 21&#x02013;28 days of life. This change will lead to diarrhea and intestinal damage in piglets and then affect growth performance (Xiong et al., <xref ref-type="bibr" rid="B39">2019</xref>). Therefore, this may bring an economic burden on the swine industry (Dou et al., <xref ref-type="bibr" rid="B7">2017</xref>). Over the last decade, animal nutritionists have improved the overall health of weaned piglets by continuously optimizing feed formulations to meet the needs of weaned piglets and exploring different nutritional factors or management (Xiong et al., <xref ref-type="bibr" rid="B39">2019</xref>). Studies have found that the gut of mammals is home to trillions of microbes that play a crucial role in nutrient absorption and metabolism (Hu et al., <xref ref-type="bibr" rid="B14">2016</xref>). Intestinal microbial composition and ecological succession are determined by some complex internal and external factors, such as age, weaning, and diet (Kim et al., <xref ref-type="bibr" rid="B19">2012</xref>; Yatsunenko et al., <xref ref-type="bibr" rid="B44">2012</xref>). Because microorganisms reproduce in the host and change with age, it is very important to study the community structure of intestinal microorganisms (Green et al., <xref ref-type="bibr" rid="B11">2006</xref>; Kim et al., <xref ref-type="bibr" rid="B19">2012</xref>; Krajmalnik-Brown et al., <xref ref-type="bibr" rid="B21">2012</xref>). In addition, the role of microbiota in health has attracted more and more attention (Ramayo-Caldas et al., <xref ref-type="bibr" rid="B30">2016</xref>). Miniature piglets are similar to humans in physiological, anatomical, and endocrine systems, especially in infancy. Therefore, it is of great significance to study the changes in intestinal digestive enzymes and microbiota in miniature weaned piglets (Hu et al., <xref ref-type="bibr" rid="B14">2016</xref>). Few studies have examined changes in intestinal digestive enzymes and microbes in piglets at different time periods, and there are currently no longitudinal studies that follow the correlation between digestive enzymes and microbes in piglets from birth to nursery.</p>
<p>In this study, we followed the changes in the digestive function, microbial communities, and the correlation between intestinal microorganisms and digestive enzymes and microbial metabolites in piglets from birth through weaning, up to 6 weeks of age. More importantly, this experiment covered the effects of diet, weaning, and age on the health of piglets. It is hoped that the results of this experiment will contribute to a deeper understanding of the changes in the digestive physiology of piglets and pave the way for the formulation of better nutritional strategies to promote the overall health of infancy and piglets.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Ethics Statement</title>
<p>The experimental protocols used in the present study were approved by the Sichuan Agricultural University Institutional Animal Care and Use Committee No. 69130079.</p>
</sec>
<sec>
<title>Animals and Experimental Treatments</title>
<p>Six multiparous sows were chosen for this study, with similar parity and health status. Upon delivery, the neonatal piglets were cohoused with sows by litter. Before weaning at 21 days of age, neonatal piglets are allowed to feed freely and, as far as we know, they do not eat sow feed. After weaning, piglets were removed from the sow and transferred to separate housing and fed <italic>ad libitum</italic> with the same basal diet (maize&#x02013;soybean meal diet) formulated by the National Research Council (NRC, <xref ref-type="bibr" rid="B25">2012</xref>) (<xref ref-type="table" rid="T1">Table 1</xref>). Consequently, a total of 42 piglets (Duroc &#x000D7; Landrace &#x000D7; Yorkshire) with similar body weights were studied. The piglets had no access to antibiotics.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Ingredients and chemical composition of experimental diets (as-fed basis).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Ingredients</bold></th>
<th valign="top" align="center"><bold>Content, %</bold></th>
<th valign="top" align="left"><bold>Nutrient composition<xref ref-type="table-fn" rid="TN3"><sup>c</sup></xref></bold></th>
<th valign="top" align="center"><bold>Content, %</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Corn (7.8% crude protein)</td>
<td valign="top" align="center">24.8</td>
<td valign="top" align="left">Digestible energy, Mcal/kg</td>
<td valign="top" align="center">3.54</td>
</tr>
<tr>
<td valign="top" align="left">Extruded corn (7.8% crude protein)</td>
<td valign="top" align="center">28.00</td>
<td valign="top" align="left">Crude protein</td>
<td valign="top" align="center">19.69</td>
</tr>
<tr>
<td valign="top" align="left">Extruded soya bean</td>
<td valign="top" align="center">7.00</td>
<td valign="top" align="left">Calcium</td>
<td valign="top" align="center">0.80</td>
</tr>
<tr>
<td valign="top" align="left">Soybean meal, dehulled</td>
<td valign="top" align="center">14.00</td>
<td valign="top" align="left">Available phosphorus</td>
<td valign="top" align="center">0.36</td>
</tr>
<tr>
<td valign="top" align="left">Fish meal (62.5% crude protein)</td>
<td valign="top" align="center">5.00</td>
<td valign="top" align="left">Lysine</td>
<td valign="top" align="center">1.35</td>
</tr>
<tr>
<td valign="top" align="left">Whey powder</td>
<td valign="top" align="center">9.00</td>
<td valign="top" align="left">Methionine</td>
<td valign="top" align="center">0.39</td>
</tr>
<tr>
<td valign="top" align="left">Soy protein concentrate</td>
<td valign="top" align="center">5.00</td>
<td valign="top" align="left">Methionine &#x0002B; Cysteine</td>
<td valign="top" align="center">0.70</td>
</tr>
<tr>
<td valign="top" align="left">Soybean oil</td>
<td valign="top" align="center">3.00</td>
<td valign="top" align="left">Threonine</td>
<td valign="top" align="center">0.81</td>
</tr>
<tr>
<td valign="top" align="left">Glucose</td>
<td valign="top" align="center">2.00</td>
<td valign="top" align="left">Tryptophan</td>
<td valign="top" align="center">0.23</td>
</tr>
<tr>
<td valign="top" align="left">NaCl</td>
<td valign="top" align="center">0.35</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Limestone</td>
<td valign="top" align="center">0.93</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Dicalcium phosphate</td>
<td valign="top" align="center">0.26</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">L-Lysine&#x02013;HCl (78%)</td>
<td valign="top" align="center">0.21</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">DL-Methionine</td>
<td valign="top" align="center">0.05</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Chloride choline</td>
<td valign="top" align="center">0.15</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Vitamin premix<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></td>
<td valign="top" align="center">0.05</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Mineral premix<xref ref-type="table-fn" rid="TN2"><sup>b</sup></xref></td>
<td valign="top" align="center">0.20</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">100</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1"><label>a</label><p><italic>The vitamin premix provided the following per kg of diets: 6,000 IU vitamin (V) A, 3,000 IU VD3, 24 mg VE, 3 mg VK3, 1.5 mg VB1, 6 mg VB2, 3 mg VB6, 0.02 mg VB12, 14 mg niacin, 15 mg pantothenic acid, 1.2 mg folic acid, and0.15 mg biotin</italic>.</p></fn> 
<fn id="TN2"><label>b</label><p><italic>The mineral premix provided the following per kg of diets: 100 mg Fe, 10 mg Cu, 80 mg Zn, 4 mg Mn, 0.30 mg I, and 0.35 mg Se</italic>.</p></fn>
<fn id="TN3"><label>c</label><p><italic>Values are calculated composition</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Tissue Collection and Processing</title>
<p>At Days 0, 7, 14, 21, 28, 35, and 42 after birth, one piglet per group from each of the six litters was euthanized with intravenous injection of sodium pentobarbital (200 mg per kg, BW). After the slaughter, the abdominal cavity had been opened. The intestinal segments of the distal duodenum, mid-jejunum, and ileum were flushed gently with ice-cold phosphate-buffered saline (PBS) and then fixed in 4% formaldehyde-phosphate buffer for intestinal histology. Tissue samples of the small intestine, pancreatic, and colonic contents were immediately frozen in liquid nitrogen and then stored at &#x02212;80&#x000B0;C for further analysis.</p>
</sec>
<sec>
<title>Intestinal Morphology</title>
<p>Intestinal morphology was measured using standard procedures (Pluske et al., <xref ref-type="bibr" rid="B28">1996</xref>). In brief, fixed samples (duodenum, jejunum, and ileum) were dehydrated and embedded in paraffin, sectioned (5 &#x003BC;m thickness), and stained with hematoxylin and eosin (H&#x00026;E). The specimens were examined using an Eclipse Ci-L microscope at 40 &#x000D7; magnification. A minimum of 10 well-oriented villi and crypts from each section were measured, and the ratio of villus height to crypt depth was calculated. The villus height and crypt depth were measured and analyzed using an Image-pro plus 6.0 (Media Cybernetics, Inc., Rockville, MD, USA).</p>
</sec>
<sec>
<title>Digestive Enzyme Activities</title>
<p>The activity of brush border enzymes was determined in intestinal (duodenum, jejunum, and ileum) tissue, and trypsin, chymotrypsin, lipase, and amylase activities were determined in the pancreatic tissue. After thawing, 0.3&#x02013;0.9 g of tissue was homogenized with ice-cold physiological saline and centrifuged for 10 min at 2,500 g at 4&#x000B0;C. The supernatant was collected for the determination of digestive enzyme activities and total protein. Total protein content was measured using the Bradford brilliant blue method (Nanjing Jiancheng Bioengineering Institute, Nanjing, China). The activities of lactase, maltase, and sucrase were measured by kit (Nanjing Jiancheng Bioengineering Institute, Nanjing, China). Except for lipase and chymotrypsin, enzymatic activity was expressed as nanomoles of substrate hydrolysis per minute per gram of protein (U/g protein). For other enzymes, the enzymatic activity was expressed as nanomoles of substrate hydrolyzed per minute per mg protein (U/mg protein).</p>
</sec>
<sec>
<title>Short-Chain Fatty Acids</title>
<p>The SCFA concentrations in the colonic digesta were analyzed according to the method described by Porter and Murray (<xref ref-type="bibr" rid="B29">2001</xref>). In brief, 0.7 g of colonic digesta was put into a 2 ml centrifuge tube with 1.5-ml distilled water, then incubated on ice for 30 min, and mixed and centrifuged (15,000 rpm) at 4&#x000B0;C for 15 min. The supernatant (1 ml) was transferred into centrifuge tubes (2 ml) and mixed with 0.2 ml of metaphosphoric acid and 23.3 &#x003BC;l of crotonic acid. After 30 min at 4&#x000B0;C, the tubes were centrifuged (15,000 rpm) again at 4&#x000B0;C for 10 min. Then, 300 &#x003BC;l supernatant was transferred to another sterile tube, mixed with 900 &#x003BC;l methanol, and homogenized. After this, the mixture was centrifuged (1,000 rpm) at 4&#x000B0;C for 5 min. The supernatant was obtained and then filtered using a 0.22-&#x003BC;m nylon membrane filter (Millipore, Bedford, OH, USA). Finally, aliquots of the supernatant (1 &#x003BC;l) were injected into a gas chromatographic system (VARIAN CP-3800, Varian, Palo Alto, CA, America) to separate and quantify the SCFA.</p>
</sec>
<sec>
<title>DNA Extraction and Illumina MiSeq</title>
<p>Total genomic DNA from the individual samples of colonic digesta was extracted using an E.Z.N.A Stool DNA Kit (Omega Bio-Tek, Doraville, GA) according to the manufacturer&#x00027;s instructions. The V3&#x02013;V4 hypervariable regions of 16S rRNA were PCR-amplified from microbial genome DNA which was harvested from colonic digesta samples with the forward primer 341F (CCTACGGGNGGCWGCAG) and reverse primer 806R (GACTACHVGGGTATCTAATCC). The amplification mix contained 2 &#x000D7; Hieff<sup>&#x000AE;</sup> Robust PCR Master Mix (dNTP and Mg<sup>2&#x0002B;</sup>) (Yeasen Co. Ltd., Shanghai, China), 1 &#x003BC;l of each primer, 10&#x02013;20 ng of PCR products, and 9&#x02013;12 &#x003BC;l H<sub>2</sub>O in a reaction volume of 30 &#x003BC;l. The PCR program initially started with 94&#x000B0;C for 3 min, followed by 25 cycles of 94&#x000B0;C for 30 s, 54&#x000B0;C for 20 s, and 65&#x000B0;C for 30 s, and then followed by a single final extension step at 72&#x000B0;C for 10 min. The PCR reaction system which was used to add a specific tag sequence was 30 &#x003BC;l, containing 2 &#x000D7; Hieff<sup>&#x000AE;</sup> Robust PCR Master Mix (dNTP and Mg<sup>2&#x0002B;</sup>) (Yeasen Co. Ltd., Shanghai, China), 1 &#x003BC;l of each primer, 20&#x02013;30 ng of PCR products, and 9&#x02013;12 &#x003BC;l of H<sub>2</sub>O. The PCR conditions were 95&#x000B0;C for 3 min, followed by five cycles of 95&#x000B0;C for 20 s, 55&#x000B0;C for 20 s, and 72&#x000B0;C for 30 s, and then followed by a single final extension step at 72&#x000B0;C for 5 min. PCR product was excised from a 2% agarose gel, purified by Hieff NGS&#x02122; DNA Selection Beads (Yeasen Co. Ltd., Shanghai, China), and quantified by a Qubit 3.0 fluorometer (Invitrogen, USA). Library construction and Illumina MiSeq sequencing were carried out in Sangon Biotech (Shanghai) Co., Ltd. The information on DNA sequences was analyzed by QIIME software (Caporaso et al., <xref ref-type="bibr" rid="B4">2010</xref>).</p>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>The data in the present study were analyzed by IBM SPSS 23.0 (Chicago, IL, USA) and expressed as means &#x000B1; SEM. All parameters were assessed using each slaughtered piglet as an experimental unit. The data were evaluated by one-way ANOVA with Duncan&#x00027;s <italic>post-hoc</italic> test. A value of <italic>P</italic> &#x0003C; 0.05 was used to indicate statistical significance, whereas a <italic>P</italic>-value between 0.05 and 0.10 was considered to indicate a trend toward significance.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Small Intestinal Morphology</title>
<p>The small intestinal morphology of the piglets is shown in <xref ref-type="table" rid="T2">Table 2</xref> and <xref ref-type="fig" rid="F1">Figure 1</xref>. The results showed that in the duodenum, villus height, and villus/crypt ratio increased from birth to lactation, decreased during weaning, and then began to recover at 35&#x02013;42 d (<italic>P</italic> &#x0003C; 0.001). In the jejunum, crypt depth increased at each step from birth to nursery with increasing piglet age (<italic>P</italic> &#x0003C; 0.001), while in the ileum villus height gradually decreased from birth to weaning and began to recover at 35&#x02013;42 d (<italic>P</italic> = 0.008).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Effect of piglet age on intestinal morphology.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Item</bold></th>
<th valign="top" align="center"><bold>0d</bold></th>
<th valign="top" align="center"><bold>7d</bold></th>
<th valign="top" align="center"><bold>14d</bold></th>
<th valign="top" align="center"><bold>21d</bold></th>
<th valign="top" align="center"><bold>28d</bold></th>
<th valign="top" align="center"><bold>35d</bold></th>
<th valign="top" align="center"><bold>42d</bold></th>
<th valign="top" align="center"><bold>Pooled SEM</bold></th>
<th valign="top" align="center"><italic><bold>P</bold></italic><bold>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="10"><bold>Duodenum</bold></td>
</tr>
<tr>
<td valign="top" align="left">Villus height, &#x003BC;m</td>
<td valign="top" align="center">319.93<sup>bc</sup></td>
<td valign="top" align="center">429.47<xref ref-type="table-fn" rid="TN4"><sup>a</sup></xref></td>
<td valign="top" align="center">465.88<xref ref-type="table-fn" rid="TN4"><sup>a</sup></xref></td>
<td valign="top" align="center">339.88<xref ref-type="table-fn" rid="TN4"><sup>b</sup></xref></td>
<td valign="top" align="center">200.13<xref ref-type="table-fn" rid="TN4"><sup>d</sup></xref></td>
<td valign="top" align="center">255.38<xref ref-type="table-fn" rid="TN4"><sup>cd</sup></xref></td>
<td valign="top" align="center">275.16<xref ref-type="table-fn" rid="TN4"><sup>bc</sup></xref></td>
<td valign="top" align="center">15.96</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Crypt depth, &#x003BC;m</td>
<td valign="top" align="center">103.99</td>
<td valign="top" align="center">124.17</td>
<td valign="top" align="center">120.48</td>
<td valign="top" align="center">143.77</td>
<td valign="top" align="center">123.55</td>
<td valign="top" align="center">117.51</td>
<td valign="top" align="center">129.91</td>
<td valign="top" align="center">3.61</td>
<td valign="top" align="center">0.109</td>
</tr>
<tr>
<td valign="top" align="left">Villus height/crypt depth</td>
<td valign="top" align="center">3.12<xref ref-type="table-fn" rid="TN4"><sup>bc</sup></xref></td>
<td valign="top" align="center">3.52<xref ref-type="table-fn" rid="TN4"><sup>ab</sup></xref></td>
<td valign="top" align="center">3.89<xref ref-type="table-fn" rid="TN4"><sup>a</sup></xref></td>
<td valign="top" align="center">2.48<xref ref-type="table-fn" rid="TN4"><sup>cd</sup></xref></td>
<td valign="top" align="center">1.61<xref ref-type="table-fn" rid="TN4"><sup>e</sup></xref></td>
<td valign="top" align="center">2.22<xref ref-type="table-fn" rid="TN4"><sup>de</sup></xref></td>
<td valign="top" align="center">2.01<xref ref-type="table-fn" rid="TN4"><sup>de</sup></xref></td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left" colspan="10"><bold>Jejunum</bold></td>
</tr>
<tr>
<td valign="top" align="left">Villus height, &#x003BC;m</td>
<td valign="top" align="center">472.73<xref ref-type="table-fn" rid="TN4"><sup>ab</sup></xref></td>
<td valign="top" align="center">533.51<xref ref-type="table-fn" rid="TN4"><sup>a</sup></xref></td>
<td valign="top" align="center">475.65<xref ref-type="table-fn" rid="TN4"><sup>ab</sup></xref></td>
<td valign="top" align="center">353.74<xref ref-type="table-fn" rid="TN4"><sup>bc</sup></xref></td>
<td valign="top" align="center">269.97<xref ref-type="table-fn" rid="TN3"><sup>c</sup></xref></td>
<td valign="top" align="center">317.40<xref ref-type="table-fn" rid="TN4"><sup>bc</sup></xref></td>
<td valign="top" align="center">347.03<xref ref-type="table-fn" rid="TN4"><sup>bc</sup></xref></td>
<td valign="top" align="center">22.88</td>
<td valign="top" align="center">0.007</td>
</tr>
<tr>
<td valign="top" align="left">Crypt depth, &#x003BC;m</td>
<td valign="top" align="center">80.20<xref ref-type="table-fn" rid="TN4"><sup>d</sup></xref></td>
<td valign="top" align="center">100.85<xref ref-type="table-fn" rid="TN4"><sup>cd</sup></xref></td>
<td valign="top" align="center">105.37<xref ref-type="table-fn" rid="TN4"><sup>bc</sup></xref></td>
<td valign="top" align="center">125.04<xref ref-type="table-fn" rid="TN4"><sup>ab</sup></xref></td>
<td valign="top" align="center">136.10<xref ref-type="table-fn" rid="TN4"><sup>ab</sup></xref></td>
<td valign="top" align="center">149.79<xref ref-type="table-fn" rid="TN4"><sup>ab</sup></xref></td>
<td valign="top" align="center">153.37<xref ref-type="table-fn" rid="TN4"><sup>a</sup></xref></td>
<td valign="top" align="center">6.47</td>
<td valign="top" align="center">0.010</td>
</tr>
<tr>
<td valign="top" align="left">Villus height/crypt depth</td>
<td valign="top" align="center">6.03<xref ref-type="table-fn" rid="TN4"><sup>a</sup></xref></td>
<td valign="top" align="center">5.38<xref ref-type="table-fn" rid="TN4"><sup>ab</sup></xref></td>
<td valign="top" align="center">4.84<xref ref-type="table-fn" rid="TN4"><sup>ab</sup></xref></td>
<td valign="top" align="center">3.45<xref ref-type="table-fn" rid="TN4"><sup>bc</sup></xref></td>
<td valign="top" align="center">2.05<xref ref-type="table-fn" rid="TN3"><sup>c</sup></xref></td>
<td valign="top" align="center">2.23<xref ref-type="table-fn" rid="TN3"><sup>c</sup></xref></td>
<td valign="top" align="center">2.44<xref ref-type="table-fn" rid="TN3"><sup>c</sup></xref></td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left" colspan="10"><bold>Ileum</bold></td>
</tr>
<tr>
<td valign="top" align="left">Villus height, &#x003BC;m</td>
<td valign="top" align="center">447.32<xref ref-type="table-fn" rid="TN4"><sup>a</sup></xref></td>
<td valign="top" align="center">349.62<xref ref-type="table-fn" rid="TN4"><sup>ab</sup></xref></td>
<td valign="top" align="center">302.02<xref ref-type="table-fn" rid="TN4"><sup>b</sup></xref></td>
<td valign="top" align="center">273.03<xref ref-type="table-fn" rid="TN4"><sup>b</sup></xref></td>
<td valign="top" align="center">251.63<xref ref-type="table-fn" rid="TN4"><sup>b</sup></xref></td>
<td valign="top" align="center">340.35<xref ref-type="table-fn" rid="TN4"><sup>ab</sup></xref></td>
<td valign="top" align="center">360.54<xref ref-type="table-fn" rid="TN4"><sup>ab</sup></xref></td>
<td valign="top" align="center">15.37</td>
<td valign="top" align="center">0.008</td>
</tr>
<tr>
<td valign="top" align="left">Crypt depth, &#x003BC;m</td>
<td valign="top" align="center">81.25<xref ref-type="table-fn" rid="TN4"><sup>b</sup></xref></td>
<td valign="top" align="center">105.72<xref ref-type="table-fn" rid="TN4"><sup>ab</sup></xref></td>
<td valign="top" align="center">109.00<xref ref-type="table-fn" rid="TN4"><sup>ab</sup></xref></td>
<td valign="top" align="center">113.86<xref ref-type="table-fn" rid="TN4"><sup>ab</sup></xref></td>
<td valign="top" align="center">138.46<xref ref-type="table-fn" rid="TN4"><sup>a</sup></xref></td>
<td valign="top" align="center">116.55<xref ref-type="table-fn" rid="TN4"><sup>a</sup></xref></td>
<td valign="top" align="center">118.51<xref ref-type="table-fn" rid="TN4"><sup>a</sup></xref></td>
<td valign="top" align="center">4.48</td>
<td valign="top" align="center">0.037</td>
</tr>
<tr>
<td valign="top" align="left">Villus height/crypt depth</td>
<td valign="top" align="center">5.74<xref ref-type="table-fn" rid="TN4"><sup>a</sup></xref></td>
<td valign="top" align="center">3.34<xref ref-type="table-fn" rid="TN4"><sup>b</sup></xref></td>
<td valign="top" align="center">3.10<xref ref-type="table-fn" rid="TN4"><sup>b</sup></xref></td>
<td valign="top" align="center">2.72<xref ref-type="table-fn" rid="TN4"><sup>b</sup></xref></td>
<td valign="top" align="center">1.83 <xref ref-type="table-fn" rid="TN4"><sup>b</sup></xref></td>
<td valign="top" align="center">3.01<xref ref-type="table-fn" rid="TN4"><sup>b</sup></xref></td>
<td valign="top" align="center">3.14<xref ref-type="table-fn" rid="TN4"><sup>b</sup></xref></td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Mean values with their standard errors</italic>.</p> 
<fn id="TN4"><label>a, b, c, d, e</label><p><italic>Mean values within a row with different superscript letters were significantly different (P &#x0003C; 0.05)</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Histological evaluation of small intestine tissue in piglets with increasing age.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-13-896660-g0001.tif"/>
</fig>
</sec>
<sec>
<title>Digestive Enzyme Activity in the Intestine and Pancreas</title>
<p>The effect of age on digestive enzyme activity in the small intestine and pancreas is shown in <xref ref-type="fig" rid="F2">Figures 2</xref>, <xref ref-type="fig" rid="F3">3</xref> (<xref ref-type="supplementary-material" rid="SM1">Supplementary Tables S1, S2</xref>). Compared with lactation and weaning, piglets in the nursery period (35&#x02013;42 d) showed higher sucrase and maltase activities, and there was no significant difference between lactation and weaning. However, the activity of lactase was the highest at birth and gradually decreased with the increase in age, especially during weaning (<italic>P</italic> &#x0003C; 0.001).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Effect of piglet age on intestinal disaccharidase activity. <bold>(A)</bold> Duodenum. <bold>(B)</bold> Jejunum. <bold>(C)</bold> Ileum. Values are expressed as means &#x000B1; SEM.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-13-896660-g0002.tif"/>
</fig>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Effect of piglet age on pancreatic digestive enzyme activity. <bold>(A)</bold> Amylase and trypsin. <bold>(B)</bold> Lipase and chymotrypsin. Values are expressed as means &#x000B1; SEM.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-13-896660-g0003.tif"/>
</fig>
<p>Compared with lactation and weaning, piglets at birth had higher activities of trypsin (<italic>P</italic> = 0.018) and chymotrypsin (<italic>P</italic> = 0.010) in the pancreas. The activity of pancreatic lipase in piglets was low either during lactation or weaning and increased with the age after weaning (<italic>P</italic> &#x0003C; 0.001). As for amylase, the activity increased with the piglet age, especially in lactation (<italic>P</italic> &#x0003C; 0.001).</p>
</sec>
<sec>
<title>The Concentration of Short-Chain Fatty Acids in Colonic Digesta</title>
<p><xref ref-type="table" rid="T3">Table 3</xref> shows the concentration of SCFA determined in the colonic digesta. At 42 d, we found significantly higher concentrations of acetate, propionate, butyrate, and total SCFA than those during lactation and weaning (<italic>P</italic> &#x0003C; 0.001). However, the concentration of SCFA was low at birth and weaning. In general, the concentration of SCFA increased with the age of piglets from birth to nursery (<italic>P</italic> &#x0003C; 0.001), but decreased during weaning and began to recover after weaning.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Effect of piglet age on the yield of short-chain fatty acids (&#x003BC;mol/g of wet digesta) in colonic digesta.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Item</bold></th>
<th valign="top" align="center"><bold>0d</bold></th>
<th valign="top" align="center"><bold>7d</bold></th>
<th valign="top" align="center"><bold>14d</bold></th>
<th valign="top" align="center"><bold>21d</bold></th>
<th valign="top" align="center"><bold>28d</bold></th>
<th valign="top" align="center"><bold>35d</bold></th>
<th valign="top" align="center"><bold>42d</bold></th>
<th valign="top" align="center"><bold>Pooled SEM</bold></th>
<th valign="top" align="center"><italic><bold>P</bold></italic><bold>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Acetate</td>
<td valign="top" align="center">2.15<xref ref-type="table-fn" rid="TN5"><sup>d</sup></xref></td>
<td valign="top" align="center">14.42<xref ref-type="table-fn" rid="TN5"><sup>c</sup></xref></td>
<td valign="top" align="center">17.52<xref ref-type="table-fn" rid="TN5"><sup>c</sup></xref></td>
<td valign="top" align="center">13.10<xref ref-type="table-fn" rid="TN5"><sup>c</sup></xref></td>
<td valign="top" align="center">18.78<xref ref-type="table-fn" rid="TN5"><sup>bc</sup></xref></td>
<td valign="top" align="center">24.42<xref ref-type="table-fn" rid="TN5"><sup>b</sup></xref></td>
<td valign="top" align="center">36.64<xref ref-type="table-fn" rid="TN5"><sup>a</sup></xref></td>
<td valign="top" align="center">1.76</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Propionate</td>
<td valign="top" align="center">1.20<xref ref-type="table-fn" rid="TN5"><sup>d</sup></xref></td>
<td valign="top" align="center">4.07<xref ref-type="table-fn" rid="TN5"><sup>cd</sup></xref></td>
<td valign="top" align="center">7.00<xref ref-type="table-fn" rid="TN5"><sup>bc</sup></xref></td>
<td valign="top" align="center">3.52<xref ref-type="table-fn" rid="TN5"><sup>cd</sup></xref></td>
<td valign="top" align="center">6.67<xref ref-type="table-fn" rid="TN5"><sup>bc</sup></xref></td>
<td valign="top" align="center">9.42<xref ref-type="table-fn" rid="TN5"><sup>b</sup></xref></td>
<td valign="top" align="center">17.25<xref ref-type="table-fn" rid="TN5"><sup>a</sup></xref></td>
<td valign="top" align="center">0.89</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Butyrate</td>
<td valign="top" align="center">0.48<xref ref-type="table-fn" rid="TN5"><sup>c</sup></xref></td>
<td valign="top" align="center">2.08<xref ref-type="table-fn" rid="TN5"><sup>bc</sup></xref></td>
<td valign="top" align="center">3.28<xref ref-type="table-fn" rid="TN5"><sup>b</sup></xref></td>
<td valign="top" align="center">1.66<xref ref-type="table-fn" rid="TN5"><sup>bc</sup></xref></td>
<td valign="top" align="center">1.37<xref ref-type="table-fn" rid="TN5"><sup>bc</sup></xref></td>
<td valign="top" align="center">3.10<xref ref-type="table-fn" rid="TN5"><sup>b</sup></xref></td>
<td valign="top" align="center">7.69<xref ref-type="table-fn" rid="TN5"><sup>a</sup></xref></td>
<td valign="top" align="center">0.45</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Isobutyrate</td>
<td valign="top" align="center">0.26<xref ref-type="table-fn" rid="TN5"><sup>c</sup></xref></td>
<td valign="top" align="center">0.55<xref ref-type="table-fn" rid="TN5"><sup>c</sup></xref></td>
<td valign="top" align="center">0.72<xref ref-type="table-fn" rid="TN5"><sup>bc</sup></xref></td>
<td valign="top" align="center">0.48<xref ref-type="table-fn" rid="TN5"><sup>c</sup></xref></td>
<td valign="top" align="center">0.57<xref ref-type="table-fn" rid="TN5"><sup>bc</sup></xref></td>
<td valign="top" align="center">1.07<xref ref-type="table-fn" rid="TN5"><sup>ab</sup></xref></td>
<td valign="top" align="center">1.46<xref ref-type="table-fn" rid="TN5"><sup>a</sup></xref></td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Isovalerate</td>
<td valign="top" align="center">0.38<xref ref-type="table-fn" rid="TN5"><sup>c</sup></xref></td>
<td valign="top" align="center">0.73<xref ref-type="table-fn" rid="TN5"><sup>bc</sup></xref></td>
<td valign="top" align="center">1.05<xref ref-type="table-fn" rid="TN5"><sup>bc</sup></xref></td>
<td valign="top" align="center">0.71<xref ref-type="table-fn" rid="TN5"><sup>bc</sup></xref></td>
<td valign="top" align="center">0.66<xref ref-type="table-fn" rid="TN5"><sup>bc</sup></xref></td>
<td valign="top" align="center">1.23<xref ref-type="table-fn" rid="TN5"><sup>bc</sup></xref></td>
<td valign="top" align="center">1.99<xref ref-type="table-fn" rid="TN5"><sup>a</sup></xref></td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Valerate</td>
<td valign="top" align="center">0.24<xref ref-type="table-fn" rid="TN5"><sup>b</sup></xref></td>
<td valign="top" align="center">1.11<xref ref-type="table-fn" rid="TN5"><sup>ab</sup></xref></td>
<td valign="top" align="center">0.73<xref ref-type="table-fn" rid="TN5"><sup>ab</sup></xref></td>
<td valign="top" align="center">0.46<xref ref-type="table-fn" rid="TN5"><sup>b</sup></xref></td>
<td valign="top" align="center">0.34<xref ref-type="table-fn" rid="TN5"><sup>b</sup></xref></td>
<td valign="top" align="center">0.51<xref ref-type="table-fn" rid="TN5"><sup>b</sup></xref></td>
<td valign="top" align="center">1.79<xref ref-type="table-fn" rid="TN5"><sup>a</sup></xref></td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.048</td>
</tr>
<tr>
<td valign="top" align="left">Total short-chain<break/> fatty acids</td>
<td valign="top" align="center">3.80<xref ref-type="table-fn" rid="TN5"><sup>d</sup></xref></td>
<td valign="top" align="center">22.96<xref ref-type="table-fn" rid="TN5"><sup>c</sup></xref></td>
<td valign="top" align="center">30.30<xref ref-type="table-fn" rid="TN5"><sup>bc</sup></xref></td>
<td valign="top" align="center">19.94<xref ref-type="table-fn" rid="TN5"><sup>c</sup></xref></td>
<td valign="top" align="center">28.39<xref ref-type="table-fn" rid="TN5"><sup>bc</sup></xref></td>
<td valign="top" align="center">39.74<xref ref-type="table-fn" rid="TN5"><sup>b</sup></xref></td>
<td valign="top" align="center">66.82<xref ref-type="table-fn" rid="TN5"><sup>a</sup></xref></td>
<td valign="top" align="center">3.24</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Mean values with their standard errors</italic>.</p> 
<fn id="TN5"><label>a, b, c, d</label><p><italic>Mean values within a row with different superscript letters were significantly different (P &#x0003C; 0.05)</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Bacterial Composition and Diversity</title>
<p>In this study, an average of 59,433 clean tags was obtained for each group, and the length of the sequences ranged between 415 and 426 bp. &#x003B1;-Diversity analysis showed a sharp contrast among newborn, lactating, and nursery piglets (<italic>P</italic> &#x0003C; 0.001, <xref ref-type="fig" rid="F4">Figure 4</xref>), and when examined over time, a gradual increase in the &#x003B1;-diversity (phylogenetic distance, PD) from 0 to 21 d is observed. This trend stabilized after 21 d until other time points in the study, but the differences between litters were not significant (<italic>P</italic> &#x0003E; 0.05). Furthermore, 3 weeks after weaning (28&#x02013;42 d), the colonic digesta microbiota appeared to be more diverse and had greater evenness than that of lactation and weaning, according to the Shannon index (<italic>P</italic> = 0.009, <xref ref-type="fig" rid="F5">Figure 5A</xref>) and observed OTUs (<italic>P</italic> &#x0003C; 0.001, <xref ref-type="fig" rid="F5">Figure 5B</xref>). This trend stabilized after 28 d to other time points studied, but differences between litters were not significant (<italic>P</italic> &#x0003E; 0.05).</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Effect of piglet age on colonic chyme &#x003B1;-diversity (phylogenetic distance, PD). Values are means with standard errors represented by vertical bars. a, b, c Mean values with unlike letters were significantly different within a cluster of bars, not across the clusters of bars (<italic>P</italic> &#x0003C; 0.05).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-13-896660-g0004.tif"/>
</fig>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Effect of piglet age on &#x003B1;- and &#x003B2;-diversity of microbial communities in colonic digesta. <bold>(A)</bold> Bacterial &#x003B1;-diversity determined by no. of observed OTUs. <bold>(B)</bold> Bacterial &#x003B1;-diversity determined by the Shannon index. <bold>(C)</bold> Scatter plot from PCoA, based on weighted UniFrac distance in bacterial communities (0, 7, 14, 21, 28, 35, and 42 days after birth). Different letters above the bars denote a significantly different &#x003B1;-diversity index among groups.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-13-896660-g0005.tif"/>
</fig>
<p>On the contrary, bacterial community composition was significantly different between animals when measured by analysis of similarities (ANOSIM) of unweighted UniFrac distance (<italic>P</italic> &#x0003C; 0.001). The unweighted UniFrac principal coordinate analysis (PCoA) plot (<xref ref-type="fig" rid="F5">Figure 5C</xref>) visually confirmed the distinct separation of microbial communities among different ages of piglets. The first group of samples in the upper left quadrant were from 0-d piglets, which were more dispersed than the other age groups. The second cluster in the top-right quadrant of the PCoA chart consists of a sample of 42-d piglets. The third cluster in the middle of the four quadrants comprises samples from 7- to 35-d piglets clustered together but with a relatively low degree of aggregation. Overall, these results suggested that the &#x003B2;-diversity of the colonic digesta microbiota of piglets increased with age.</p>
<p>The relative abundance of intestinal microflora at phylum, family, and genus levels of piglets at different ages is shown in <xref ref-type="fig" rid="F6">Figure 6</xref>. At the phylum level, the seven growth stage groups are mainly composed of seven phyla as follows: <italic>Firmicutes, Proteobacteria, Bacteroidetes, Fusobacteria, Actinobacteria, Verrucomicrobia</italic>, and <italic>Spirochaetes</italic>. <italic>Firmicutes</italic> (<italic>P</italic> = 0.001), <italic>Proteobacteria</italic> (<italic>P</italic> &#x0003C; 0.001), and <italic>Bacteroidetes</italic> (<italic>P</italic> = 0.003) were the most dominant among the seven phyla in the samples, regardless of age, and comprised more than 85% of the total sequences. The bacterial abundances of distinct phyla differed in the seven groups. <italic>Firmicutes</italic> (<italic>P</italic> = 0.001) was the most predominant phylum after birth (7&#x02013;42 d), accounting for more than 46% of the sequences, while <italic>Proteobacteria</italic> (<italic>P</italic> &#x0003C; 0.001) was the main phylum of newborn piglets (0 d), accounting for more than 78% of the sequence. At 42 d, a higher percentage (83%) of the sequences was assigned to <italic>Firmicutes</italic>, but there was no significant difference from 7 to 35 d. <italic>Bacteroidetes</italic> and <italic>Proteobacteria</italic> were the second largest phylum at 7 d (33%), 14 d (22%), 35 d (20%), 42 d (10%), 0 d (78%), 21 d (26%), and 28 d (17%), respectively (<xref ref-type="fig" rid="F6">Figure 6A</xref>).</p>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p>Effect of piglets&#x00027; age on taxonomic classification of the 16S rRNA gene sequences at <bold>(A)</bold> phylum, <bold>(B)</bold> family, and <bold>(C)</bold> genus levels.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-13-896660-g0006.tif"/>
</fig>
<p>Surprisingly, at the family level, <italic>Enterobacteriaceae</italic> of newborn piglets was the most abundant bacterial family, accounting for &#x0007E;70% of the sequences. The abundance of <italic>Enterobacteriaceae</italic> decreased gradually during lactation, increased after weaning, and then decreased gradually from 28 to 42 d, but the change in <italic>Lactobacillaceae</italic> was the opposite. In addition, weaning increased the abundance of <italic>Ruminococcaceae</italic> compared with lactation and post-weaning. When comparing the microbiota during lactation and after weaning, there were significant differences. First, <italic>Prevotellaceae</italic> decreased nearly 4-fold from an average of 4.7% during lactation to 1.3% during weaning. This coincided with a decrease in the population of <italic>Bacteroidaceae</italic> and <italic>Fusobacteriaceae</italic> from 6.4 and 5.0% during lactation to 2.1 and 1.5% during weaning, respectively (on average). There is also an increase in <italic>Streptococcaceae</italic> from 0.2 to 2.8% after weaning. <italic>Lactobacillaceae</italic> increased over time from 13.5 to 40.5% after weaning. In contrast, <italic>Lachnospiraceae, Porphyromonadaceae</italic>, and <italic>Campylobacteraceae</italic> did not change dramatically throughout the study (<xref ref-type="fig" rid="F6">Figure 6B</xref>).</p>
<p>To further investigate the taxonomic compositions of piglets at different days of age, a total of 281 genera were identified from the bacterial community of colonic digesta of piglets. Among these genera identified, 13 abundant genera were detected, which contained more than 5% of the total sequence in at least one sample. The 13 abundant genera were as follows: <italic>Lactobacillus, Escherichia_Shigella, Bacteroides, Fusobacterium, Prevotella, Gemmiger, Streptococcus, Roseburia, Akkermansia, unclassified_Ruminococcaceae, unclassified_Porphyromonadaceae, unclassified_Lachnospiraceae</italic>, and <italic>unclassified_Bacteria</italic> (<xref ref-type="fig" rid="F6">Figure 6C</xref>). All the 13 abundant genera plus the unclassified genera accounted for over 62% of the total sequences in the samples, regardless of the age of piglets. Genus <italic>Escherichia_Shigella</italic> belonged to phylum <italic>Proteobacteria</italic> and had the highest abundance at 0 and 21 days of age, while <italic>Lactobacillus</italic> belonged to phylum <italic>Firmicutes</italic> and had the highest abundance at 7&#x02013;42 d. With the increase in piglets&#x00027; age, the abundance of <italic>Escherichia_Shigella</italic> and <italic>unclassified_Ruminococcaceae</italic> decreased, but increased at weaning, while the change in <italic>Lactobacillus</italic> was the opposite. Similarly, the abundance of <italic>Prevotella, Roseburia, Akkermansia, Pasteurella, Bifidobacterium</italic>, and <italic>Megasphaera</italic> was higher during lactation than after weaning, while the change in <italic>Gemmiger, Blautia, Treponema, Faecalibacterium, Clostridium_IV</italic>, and <italic>unclassified_Bacteria</italic> was opposite.</p>
</sec>
<sec>
<title>Microbiota&#x02013;Metabolite Correlation</title>
<p>The triplot of redundancy analysis (RDA) was conducted based on genus-level microorganisms and their environmental factors (amylase, SCFAs, and disaccharidase, <xref ref-type="fig" rid="F7">Figure 7A</xref>), indicating that piglets of different ages were separated on the first constraint axis. RDA indicated that there were positive correlations among SCFAs, amylase, and sucrase and a negative correlation between lactase and SCFAs. In addition, a correlation between the top 50 microbial genera and the environmental factors was determined by calculating Spearman&#x00027;s correlation coefficients and was directly reflected by a heatmap (<xref ref-type="fig" rid="F7">Figure 7B</xref>). The threshold |<italic>R</italic>| &#x0003E;0.4 is considered relevant. The results indicated that <italic>Lactobacillus, unclassified_Ruminococcaceae</italic>, and <italic>Faecalibacterium</italic> were positively correlated with amylase and SCFAs, while <italic>unclassified_Lachnospiraceae, unclassified_Bacteroidetes</italic>, and <italic>Roseburia</italic> were positively correlated with sucrase and maltase. <italic>Escherichia_Shigella, Fusobacterium</italic>, and <italic>Phascolarctobacterium</italic> were positively correlated with lactase, while <italic>unclassified_Bacteria, unclassified_Clostridiale</italic>s, <italic>Gemmiger</italic>, and <italic>unclassified_Firmicutes</italic> were negatively correlated with lactase. <italic>Unclassified_Clostridiales</italic> was positively correlated with acetate and negatively correlated with valerate. <italic>Lactobacillus, unclassified_Bacteroidetes</italic>, and <italic>Roseburia</italic> were positively correlated with amylase, sucrase, and maltase, while <italic>Escherichia_Shigella</italic> and <italic>Bifidobacterium</italic> were negatively correlated with them.</p>
<fig id="F7" position="float">
<label>Figure 7</label>
<caption><p>Microbiota&#x02013;metabolite correlation. <bold>(A)</bold> Triplot of RDA of the colonic microbial composition at genus level relative to pancreatic amylase, jejunal disaccharidase, and colonic SCFAs. The microbiota of different age groups are represented by different colors. Constrained explanatory variables (amylase, SCFA, and disaccharidase) are indicated by red arrows. Responding taxa are indicated by blue arrows, and only those with a higher fit in the ordination plot are labeled. The first (22.03% interpretation) and second coordinates (5.66% interpretation) are plotted. <bold>(B)</bold> A heatmap of the correlation analysis was conducted between the top 50 bacterial genera and the environmental factors. <sup>&#x0002A;</sup>0.01 &#x0003C; <italic>P</italic> &#x02264; 0.05 and <sup>&#x0002A;&#x0002A;</sup>0.001 &#x0003C; <italic>P</italic> &#x02264; 0.01.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-13-896660-g0007.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The first goal of this study was to better understand the changes in the digestive function of piglets from birth to post-weaning. So far, under the background that early weaning models are widely used, there are few studies on the changes in the intestinal digestive function with age in piglets (Corring et al., <xref ref-type="bibr" rid="B5">1978</xref>; Owsley et al., <xref ref-type="bibr" rid="B26">1986</xref>; Hedemann et al., <xref ref-type="bibr" rid="B13">2003</xref>). Therefore, there are differences between the early research and the current situation of piglets, and new research is needed to provide a theoretical basis to guide production.</p>
<p>The intestine is the main place for digestion and absorption of nutrients, and the early postnatal period is a key time for intestinal development. The tissue mass and absorption surface area of the small intestine of newborn piglets increased significantly, for example, the number of mucosal cells increased by 50% on the first day after birth and doubled on the third day after birth (Widdowson and Crabb, <xref ref-type="bibr" rid="B37">1976</xref>; Xu et al., <xref ref-type="bibr" rid="B40">1992</xref>). These studies show that the intestine develops most rapidly in the early stages of piglets. In this study, our measurement of intestinal tissue characteristics is basically consistent with the data in the literature, which confirms that the animals used in this study are healthy and normal (Skrzypek et al., <xref ref-type="bibr" rid="B33">2018</xref>; Verdile et al., <xref ref-type="bibr" rid="B36">2019</xref>). Research showed that the morphological structure of the duodenum will change with the growth of piglets during lactation, such as the increase in villus height, crypt depth, and intestinal wall thickness (Wiyaporn et al., <xref ref-type="bibr" rid="B38">2013</xref>). For instance, the villus height of the small intestine of piglets increases by 33% in the first week after birth and reaches its maximum in the second week after birth (Skrzypek et al., <xref ref-type="bibr" rid="B34">2005</xref>). Consistent with previous studies, duodenal villus height increased continuously from 0 to 14 d, peaked at 14 d, decreased at weaning (21&#x02013;28 d), and then increased at 35&#x02013;42 d. However, the changing trend of jejunum and ileum is inconsistent with that of the duodenum, and the maximum value appeared at 7 and 0 d, respectively. One plausible explanation for the inconsistent peak time of villus height may be that the development of the small intestine structure is basically completed and the villus height is high at birth. Therefore, through this experiment, we once again demonstrated that the structure and digestive function of small intestine of piglets began from prenatal.</p>
<p>At birth, the small intestine is almost complete and digestion can begin after the first intake of colostrum. The integrity of intestinal development will affect the utilization efficiency of carbohydrates because it will affect the disaccharidase activity of piglets (Tsukahara et al., <xref ref-type="bibr" rid="B35">2016</xref>). Since the pancreas is an important organ involved in nutrient digestion, in order to further understand the changes in the digestive ability of piglets with the increase in age, we measured the digestive enzymes secreted by the pancreas. Our results showed that the activities of sucrase and maltase in the intestine and amylase in the pancreas increased with age during lactation, decreased during weaning, and then increased during nursery, while the activities of lactase continued to decrease with age. The activities of lipase, trypsin, and chymotrypsin decreased with age during lactation and weaning but increased during the nursery. These results are consistent with previous studies (Bellinge et al., <xref ref-type="bibr" rid="B2">2005</xref>; Ito et al., <xref ref-type="bibr" rid="B16">2019</xref>). In addition, sucrase and maltase activities are important markers for evaluating intestinal development, and the activity intensity of pancreatic enzymes is an indicator to measure digestive ability (Huygelen et al., <xref ref-type="bibr" rid="B15">2015</xref>; Pieper et al., <xref ref-type="bibr" rid="B27">2016</xref>; Yuan et al., <xref ref-type="bibr" rid="B45">2017</xref>). Thus, increased sucrase, maltase, and pancreatic enzyme activities imply rapid maturation of the small intestine and digestive capacity, respectively. Furthermore, higher lactase activity during lactation and higher sucrase and maltase activities during nursery were helpful to degrade polysaccharides in sow milk and feed into monosaccharides, respectively. This facilitates the absorption and utilization of carbohydrates by the body, thereby promoting intestinal maturation and host growth. Overall, these results suggest that the digestive capacity of the intestine and pancreas increases with age, and the increased carbohydrate degradation rate in the diet promotes the digestion and absorption of nutrients by increasing the activity of amylase and disaccharidase.</p>
<p>This study also measured short-chain fatty acids in the hindgut, which are key metabolites interacting with the intestinal microbiota and can affect intestinal health and systemic metabolism (Yao et al., <xref ref-type="bibr" rid="B43">2020</xref>; Zhou et al., <xref ref-type="bibr" rid="B48">2020</xref>). Our results showed that the concentration of SCFAs increased with age but decreased at weaning. Studies have confirmed that higher concentrations of SCFAs in the intestine contribute to better growth performance (Le Gall et al., <xref ref-type="bibr" rid="B22">2009</xref>). In addition, butyrate has been shown to have positive effects on pathogen control and intestinal barrier function, particularly energy utilization in the colon, gastrointestinal cell proliferation, and pH stabilization in the intestinal lumen (Guilloteau et al., <xref ref-type="bibr" rid="B12">2010</xref>; Kelly et al., <xref ref-type="bibr" rid="B18">2015</xref>).</p>
<p>The mammalian gastrointestinal tract contains a wide variety and active microbial community that serves as an important barrier against pathogens and plays an integral role in promoting the development of the intestinal immune system and maintaining normal intestinal function (Buffie and Pamer, <xref ref-type="bibr" rid="B3">2013</xref>; Kamada et al., <xref ref-type="bibr" rid="B17">2013</xref>). The present study shows a significantly increased &#x003B1;-diversity in the intestinal bacterial community with the age of piglets but decreased at the weaning stage. Moreover, recent studies showed that the &#x003B1;-diversity of intestinal bacteria increased significantly with the time interval of &#x0007E;1 month after weaning (Niu et al., <xref ref-type="bibr" rid="B24">2015</xref>; Zhao et al., <xref ref-type="bibr" rid="B47">2015</xref>). One of the most striking observations in this study was that with the exception of <italic>Firmicutes</italic> and <italic>Proteobacteria</italic>, which were the two most dominant phyla in the piglet intestinal microbiota at 0 and 21 d, the predominant phylum in the other groups was <italic>Firmicutes</italic> and <italic>Bacteroidetes</italic>. Our results are consistent with the finding of Zhao et al. which indicated the maximum abundance of <italic>Proteobacteria</italic> at birth and then it begins to decline (Zhao et al., <xref ref-type="bibr" rid="B47">2015</xref>). In this study, <italic>Escherichia_Shigella</italic> was the most abundant bacteria in the intestinal of newborn piglets and subsequently, its abundance decreased during lactation and increased again during weaning. Piglet diarrhea can be attributed to the presence of certain bacteria in the microbiota, such as <italic>Escherichia_Shigella</italic> (Schokker et al., <xref ref-type="bibr" rid="B31">2015</xref>; Hu et al., <xref ref-type="bibr" rid="B14">2016</xref>). This result suggests that pathogenic species are often present in the gastrointestinal tract of infants or early piglets, waiting for a potential opportunity to become pathogens. The results of this study also showed that <italic>Lactobacillus</italic> belonging to the phylum <italic>Firmicutes</italic> was the most abundant genera in intestinal bacterial communities during lactation and nursery periods. It is well known that <italic>Lactobacillus</italic> will produce acetate, and the increase in <italic>Lactobacillus</italic> abundance will increase the concentration of acetate in the hindgut, which is consistent with our previous results on SCFAs. Furthermore, <italic>Lactobacillus</italic> and <italic>Escherichia_Shigella</italic> are the core microbiota in pre-weaning piglets, suggesting that they play a key role in the establishment and maintenance of the postnatal intestinal microbiota in piglets. In addition, the abundance of <italic>Prevotella</italic> increased with age during lactation, which is in line with the results of the study based on the intestinal microbiota of infants (from newborn to 12 months) (B&#x000E4;ckhed et al., <xref ref-type="bibr" rid="B1">2015</xref>). <italic>Prevotella</italic> is a key microbe member of the animal gastrointestinal tract, and it is not only important for the degradation of starch and plant polysaccharides but also has strong catabolism of mucin (Kovatcheva-Datchary et al., <xref ref-type="bibr" rid="B20">2015</xref>; Fang et al., <xref ref-type="bibr" rid="B10">2017</xref>).</p>
<p>Using RDA, amylase, SCFAs, and disaccharidase were significantly associated with colonic microbiota. Furthermore, Spearman&#x00027;s correlation analysis of the top 50 microbiota genera and hindgut environmental factors showed that the microbiota bacteria with positive effects on SCFAs were <italic>Lactobacillus, unclassified_Porphyromonadaceae</italic>, and <italic>Faecalibacterium</italic>, while the microbiota negatively correlated with SCFAs were <italic>Escherichia_Shigella, Acinetobacter</italic>, and <italic>Bifidobacterium</italic>. Previous studies have found that <italic>Lactobacillus</italic> bacteria promote early piglet development and improve the intestinal health of newborn piglets by modulating intestinal microbiota (Dowarah et al., <xref ref-type="bibr" rid="B8">2017</xref>; Yang et al., <xref ref-type="bibr" rid="B41">2018</xref>; Zhang et al., <xref ref-type="bibr" rid="B46">2019</xref>). The abundance of <italic>Bifidobacteria</italic> decreased with increasing age. As <italic>Bifidobacteria</italic> have been proved to inhibit the inflammatory response of intestinal epithelial cells, the decrease in its relative abundance with age may be related to the increase in chronic inflammation in the elderly. In addition, <italic>Faecalibacterium</italic> is a butyrate-producing bacterium, which increases with age. <italic>Unclassified_Bacteroidetes</italic> were positively correlated with amylase, sucrase, and maltase. <italic>Bacteroidetes</italic> are involved in nutrient metabolism, including carbohydrate fermentation, polysaccharides, and steroid metabolism, and are essential for maintaining the normal physiological function of the intestine (Yang et al., <xref ref-type="bibr" rid="B42">2019</xref>).</p>
<p>Overall, our results suggested that the most significant difference between weaning, lactation, and the nursery was the decrease in the abundance of bacteria producing SCFAs and bacteria involved in carbohydrate metabolism. Many of the bacterial taxa that showed reduced numbers in piglets with diarrhea were related to the carbohydrate production of SCFAs, which was also observed in humans with Crohn&#x00027;s disease, suggesting that abnormal carbohydrate metabolism may be an important feature of diarrheal disease in piglets (Erickson et al., <xref ref-type="bibr" rid="B9">2012</xref>). Therefore, we should further study the carbohydrate metabolism of piglets in future research.</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>In this experiment, we explored the digestive function and microbial changes in piglets from birth to nursery and the correlation between intestinal microorganisms and digestive enzymes and metabolites. Based on the results, we infer that age and growth environment, including diet composition and weaning, are the key factors for the formation of piglet intestinal microbiota. Diarrhea caused by carbohydrate digestion deserves the attention of nutritionists. Supplementing bacteria conducive to carbohydrate digestion at an appropriate time will be beneficial to the health of piglets and infants. Our results broaden the understanding of the digestive function and microbial changes in piglets at different stages. These results will provide help for the experimental design of host&#x02013;microbial interaction.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<title>Data Availability Statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: NCBI BioProject&#x02014;PRJNA816983.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The animal study was reviewed and approved by Institutional Animal Care Advisory Committee for Sichuan Agricultural University.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>JH and DC designed the whole experiment. XG performed the experiment, including chemical analysis, statistical analysis, and manuscript writing. BY, ZH, and JY verified the validity of the experiment and checked the results. PZ, JL, and YL participated in the experimental design and provided valuable advice. All authors have read and approved the final version of the manuscript.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>This research was supported by grants from the National Natural Science Foundation of China (Project No. 31730091).</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x00027;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<p>We are grateful to Weicheng Shu and Limei Sun for their assistance during the animal experiments.</p>
</ack>
<sec sec-type="supplementary-material" id="s11">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmicb.2022.896660/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmicb.2022.896660/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.DOCX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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