Effects of Different Diets on Microbiota in The Small Intestine Mucus and Weight Regulation in Rats
While the microbial community of the small intestine mucus (SIM) may also play a role in human health maintenance and disease genesis, it has not been extensively profiled and whether it changes with diet is still unclear. To investigate the flora composition of SIM and the effects of diet on it, we...
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| Veröffentlicht in: | Scientific reports 2019-06, Vol.9 (1), p.8500-8500, Article 8500 |
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| description | While the microbial community of the small intestine mucus (SIM) may also play a role in human health maintenance and disease genesis, it has not been extensively profiled and whether it changes with diet is still unclear. To investigate the flora composition of SIM and the effects of diet on it, we fed SD rats for 12 weeks with standard diet (STD), high-fat diet (HFD), high-sugar diet (HSD) and high-protein diet (HPD), respectively. After 12 weeks, the rats were sacrificed, SIM and stool samples were collected, and high-throughput 16S rRNA gene sequencing was used to analyze the microbiota. We found that fecal microbiota (FM) was dominated by
Firmicutes
and
Bacteroidetes
, while in SIM,
Firmicutes
and
Proteobacteria
were the two most abundant phyla and the level of
Bacteroidetes
dramatically decreased. The microbiota diversity of SIM was less than that of feces. The community composition of SIM varied greatly with different diets, while the composition of FM altered little with different diets. The relative abundance of
Bacteroidetes
and
Allobaculum
in SIM were negatively correlated with weight gain. There was no significant correlation between FM and weight gain. In conclusion, the community profile of SIM is different from that of feces and susceptible to diet. |
| doi_str_mv | 10.1038/s41598-019-44994-7 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6560036</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2245648059</sourcerecordid><originalsourceid>FETCH-LOGICAL-c579t-90923a8910a965d050ad7d4ee2801310a05b17bd0299074a7793aed5f2c0aa3</originalsourceid><addsrcrecordid>eNp9UU1P3TAQtCqqgih_oIfKUi9cUtZfSXyphPgqEqgSIPVo7Uuc94zyHLCdSv33LDygtIf64tXuzKzHw9gnAV8FqPYga2FsW4GwldbW6qp5x3YkaFNJJeXWm3qb7eV8C3SMtFrYD2xbCdHW2ood1p0Mg-9K5tPAjwPVycdClX9sRX4ZujQtwlSQh8hvVp5fr3Ec-XksPpcQPb-cuzlzjD3_6cNyVfiVX84jlkBsolxhyR_Z-wHH7Pee7112fXpyc_S9uvhxdn50eFF1prGlsmClwtYKQFubHgxg3_Tae9mCUNQFsxDNogdpLTQam8Yq9L0ZZAeIapd926jezYu17zvykXB0dymsMf12Ewb39ySGlVtOv1xtagBVk8D-s0Ca7mey59Yhd34cMfppzk5KbWrdgrEE_fIP9HaaUyRzhFKtqSkaQyi5QdEf5pz88PoYAe4xRLcJ0VGI7ilE1xDp81sbr5SXyAigNoBMo7j06c_u_8g-ANkIpwg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2238565985</pqid></control><display><type>article</type><title>Effects of Different Diets on Microbiota in The Small Intestine Mucus and Weight Regulation in Rats</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Springer Nature OA Free Journals</source><source>Nature Free</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><source>Free Full-Text Journals in Chemistry</source><creator>Meng, Yu ; Li, Xiaojun ; Zhang, Jie ; Wang, Chunlian ; Lu, Fanggen</creator><creatorcontrib>Meng, Yu ; Li, Xiaojun ; Zhang, Jie ; Wang, Chunlian ; Lu, Fanggen</creatorcontrib><description>While the microbial community of the small intestine mucus (SIM) may also play a role in human health maintenance and disease genesis, it has not been extensively profiled and whether it changes with diet is still unclear. To investigate the flora composition of SIM and the effects of diet on it, we fed SD rats for 12 weeks with standard diet (STD), high-fat diet (HFD), high-sugar diet (HSD) and high-protein diet (HPD), respectively. After 12 weeks, the rats were sacrificed, SIM and stool samples were collected, and high-throughput 16S rRNA gene sequencing was used to analyze the microbiota. We found that fecal microbiota (FM) was dominated by
Firmicutes
and
Bacteroidetes
, while in SIM,
Firmicutes
and
Proteobacteria
were the two most abundant phyla and the level of
Bacteroidetes
dramatically decreased. The microbiota diversity of SIM was less than that of feces. The community composition of SIM varied greatly with different diets, while the composition of FM altered little with different diets. The relative abundance of
Bacteroidetes
and
Allobaculum
in SIM were negatively correlated with weight gain. There was no significant correlation between FM and weight gain. In conclusion, the community profile of SIM is different from that of feces and susceptible to diet.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-019-44994-7</identifier><identifier>PMID: 31186491</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/699/1503/2745 ; 692/699/1702/393 ; Animals ; Bacteroidetes ; Biodiversity ; Body Weight ; Body weight gain ; Cell Count ; Community composition ; Diet ; Diet, High-Fat ; Fecal microflora ; Feces ; Feces - microbiology ; Female ; Firmicutes ; Flora ; Gastrointestinal Microbiome ; Goblet Cells - pathology ; High fat diet ; High protein diet ; Humanities and Social Sciences ; Intestine, Small - microbiology ; Microbiota ; Mucus ; Mucus - microbiology ; multidisciplinary ; Phylogeny ; Principal Component Analysis ; Rats, Sprague-Dawley ; Relative abundance ; rRNA 16S ; Science ; Science (multidisciplinary) ; Small intestine ; Sugar ; Weight Gain</subject><ispartof>Scientific reports, 2019-06, Vol.9 (1), p.8500-8500, Article 8500</ispartof><rights>The Author(s) 2019</rights><rights>The Author(s) 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c579t-90923a8910a965d050ad7d4ee2801310a05b17bd0299074a7793aed5f2c0aa3</citedby><cites>FETCH-LOGICAL-c579t-90923a8910a965d050ad7d4ee2801310a05b17bd0299074a7793aed5f2c0aa3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6560036/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6560036/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27903,27904,41099,42168,51554,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31186491$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Meng, Yu</creatorcontrib><creatorcontrib>Li, Xiaojun</creatorcontrib><creatorcontrib>Zhang, Jie</creatorcontrib><creatorcontrib>Wang, Chunlian</creatorcontrib><creatorcontrib>Lu, Fanggen</creatorcontrib><title>Effects of Different Diets on Microbiota in The Small Intestine Mucus and Weight Regulation in Rats</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>While the microbial community of the small intestine mucus (SIM) may also play a role in human health maintenance and disease genesis, it has not been extensively profiled and whether it changes with diet is still unclear. To investigate the flora composition of SIM and the effects of diet on it, we fed SD rats for 12 weeks with standard diet (STD), high-fat diet (HFD), high-sugar diet (HSD) and high-protein diet (HPD), respectively. After 12 weeks, the rats were sacrificed, SIM and stool samples were collected, and high-throughput 16S rRNA gene sequencing was used to analyze the microbiota. We found that fecal microbiota (FM) was dominated by
Firmicutes
and
Bacteroidetes
, while in SIM,
Firmicutes
and
Proteobacteria
were the two most abundant phyla and the level of
Bacteroidetes
dramatically decreased. The microbiota diversity of SIM was less than that of feces. The community composition of SIM varied greatly with different diets, while the composition of FM altered little with different diets. The relative abundance of
Bacteroidetes
and
Allobaculum
in SIM were negatively correlated with weight gain. There was no significant correlation between FM and weight gain. In conclusion, the community profile of SIM is different from that of feces and susceptible to diet.</description><subject>692/699/1503/2745</subject><subject>692/699/1702/393</subject><subject>Animals</subject><subject>Bacteroidetes</subject><subject>Biodiversity</subject><subject>Body Weight</subject><subject>Body weight gain</subject><subject>Cell Count</subject><subject>Community composition</subject><subject>Diet</subject><subject>Diet, High-Fat</subject><subject>Fecal microflora</subject><subject>Feces</subject><subject>Feces - microbiology</subject><subject>Female</subject><subject>Firmicutes</subject><subject>Flora</subject><subject>Gastrointestinal Microbiome</subject><subject>Goblet Cells - pathology</subject><subject>High fat diet</subject><subject>High protein diet</subject><subject>Humanities and Social Sciences</subject><subject>Intestine, Small - microbiology</subject><subject>Microbiota</subject><subject>Mucus</subject><subject>Mucus - microbiology</subject><subject>multidisciplinary</subject><subject>Phylogeny</subject><subject>Principal Component Analysis</subject><subject>Rats, Sprague-Dawley</subject><subject>Relative abundance</subject><subject>rRNA 16S</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Small intestine</subject><subject>Sugar</subject><subject>Weight Gain</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9UU1P3TAQtCqqgih_oIfKUi9cUtZfSXyphPgqEqgSIPVo7Uuc94zyHLCdSv33LDygtIf64tXuzKzHw9gnAV8FqPYga2FsW4GwldbW6qp5x3YkaFNJJeXWm3qb7eV8C3SMtFrYD2xbCdHW2ood1p0Mg-9K5tPAjwPVycdClX9sRX4ZujQtwlSQh8hvVp5fr3Ec-XksPpcQPb-cuzlzjD3_6cNyVfiVX84jlkBsolxhyR_Z-wHH7Pee7112fXpyc_S9uvhxdn50eFF1prGlsmClwtYKQFubHgxg3_Tae9mCUNQFsxDNogdpLTQam8Yq9L0ZZAeIapd926jezYu17zvykXB0dymsMf12Ewb39ySGlVtOv1xtagBVk8D-s0Ca7mey59Yhd34cMfppzk5KbWrdgrEE_fIP9HaaUyRzhFKtqSkaQyi5QdEf5pz88PoYAe4xRLcJ0VGI7ilE1xDp81sbr5SXyAigNoBMo7j06c_u_8g-ANkIpwg</recordid><startdate>20190611</startdate><enddate>20190611</enddate><creator>Meng, Yu</creator><creator>Li, Xiaojun</creator><creator>Zhang, Jie</creator><creator>Wang, Chunlian</creator><creator>Lu, Fanggen</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20190611</creationdate><title>Effects of Different Diets on Microbiota in The Small Intestine Mucus and Weight Regulation in Rats</title><author>Meng, Yu ; Li, Xiaojun ; Zhang, Jie ; Wang, Chunlian ; Lu, Fanggen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c579t-90923a8910a965d050ad7d4ee2801310a05b17bd0299074a7793aed5f2c0aa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>692/699/1503/2745</topic><topic>692/699/1702/393</topic><topic>Animals</topic><topic>Bacteroidetes</topic><topic>Biodiversity</topic><topic>Body Weight</topic><topic>Body weight gain</topic><topic>Cell Count</topic><topic>Community composition</topic><topic>Diet</topic><topic>Diet, High-Fat</topic><topic>Fecal microflora</topic><topic>Feces</topic><topic>Feces - microbiology</topic><topic>Female</topic><topic>Firmicutes</topic><topic>Flora</topic><topic>Gastrointestinal Microbiome</topic><topic>Goblet Cells - pathology</topic><topic>High fat diet</topic><topic>High protein diet</topic><topic>Humanities and Social Sciences</topic><topic>Intestine, Small - microbiology</topic><topic>Microbiota</topic><topic>Mucus</topic><topic>Mucus - microbiology</topic><topic>multidisciplinary</topic><topic>Phylogeny</topic><topic>Principal Component Analysis</topic><topic>Rats, Sprague-Dawley</topic><topic>Relative abundance</topic><topic>rRNA 16S</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Small intestine</topic><topic>Sugar</topic><topic>Weight Gain</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Meng, Yu</creatorcontrib><creatorcontrib>Li, Xiaojun</creatorcontrib><creatorcontrib>Zhang, Jie</creatorcontrib><creatorcontrib>Wang, Chunlian</creatorcontrib><creatorcontrib>Lu, Fanggen</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database (ProQuest)</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Meng, Yu</au><au>Li, Xiaojun</au><au>Zhang, Jie</au><au>Wang, Chunlian</au><au>Lu, Fanggen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effects of Different Diets on Microbiota in The Small Intestine Mucus and Weight Regulation in Rats</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2019-06-11</date><risdate>2019</risdate><volume>9</volume><issue>1</issue><spage>8500</spage><epage>8500</epage><pages>8500-8500</pages><artnum>8500</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>While the microbial community of the small intestine mucus (SIM) may also play a role in human health maintenance and disease genesis, it has not been extensively profiled and whether it changes with diet is still unclear. To investigate the flora composition of SIM and the effects of diet on it, we fed SD rats for 12 weeks with standard diet (STD), high-fat diet (HFD), high-sugar diet (HSD) and high-protein diet (HPD), respectively. After 12 weeks, the rats were sacrificed, SIM and stool samples were collected, and high-throughput 16S rRNA gene sequencing was used to analyze the microbiota. We found that fecal microbiota (FM) was dominated by
Firmicutes
and
Bacteroidetes
, while in SIM,
Firmicutes
and
Proteobacteria
were the two most abundant phyla and the level of
Bacteroidetes
dramatically decreased. The microbiota diversity of SIM was less than that of feces. The community composition of SIM varied greatly with different diets, while the composition of FM altered little with different diets. The relative abundance of
Bacteroidetes
and
Allobaculum
in SIM were negatively correlated with weight gain. There was no significant correlation between FM and weight gain. In conclusion, the community profile of SIM is different from that of feces and susceptible to diet.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>31186491</pmid><doi>10.1038/s41598-019-44994-7</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | 692/699/1503/2745 692/699/1702/393 Animals Bacteroidetes Biodiversity Body Weight Body weight gain Cell Count Community composition Diet Diet, High-Fat Fecal microflora Feces Feces - microbiology Female Firmicutes Flora Gastrointestinal Microbiome Goblet Cells - pathology High fat diet High protein diet Humanities and Social Sciences Intestine, Small - microbiology Microbiota Mucus Mucus - microbiology multidisciplinary Phylogeny Principal Component Analysis Rats, Sprague-Dawley Relative abundance rRNA 16S Science Science (multidisciplinary) Small intestine Sugar Weight Gain |
| title | Effects of Different Diets on Microbiota in The Small Intestine Mucus and Weight Regulation in Rats |
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