Key Bacteria in the Gut Microbiota Network for the Transition between Sedentary and Active Lifestyle

Physical activity modifies the gut microbiota, exerting health benefits on the host; however, the specific bacteria associated with exercise are not yet known. In this work, we propose a novel method, based on hierarchical topology, to study the differences between the microbiota of active and seden...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Microorganisms (Basel) 2020-05, Vol.8 (5), p.785
Hauptverfasser: Castellanos, Nazareth, Diez, Gustavo G, Antúnez-Almagro, Carmen, Bressa, Carlo, Bailén, María, González-Soltero, Rocío, Pérez, Margarita, Larrosa, Mar
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 5
container_start_page 785
container_title Microorganisms (Basel)
container_volume 8
creator Castellanos, Nazareth
Diez, Gustavo G
Antúnez-Almagro, Carmen
Bressa, Carlo
Bailén, María
González-Soltero, Rocío
Pérez, Margarita
Larrosa, Mar
description Physical activity modifies the gut microbiota, exerting health benefits on the host; however, the specific bacteria associated with exercise are not yet known. In this work, we propose a novel method, based on hierarchical topology, to study the differences between the microbiota of active and sedentary lifestyles, and to identify relevant bacterial taxa. Our results show that the microbiota network found in active people has a significantly higher overall efficiency and higher transmissibility rate. We also identified key bacteria in active and sedentary networks that could be involved in the conversion of an active microbial network to a sedentary microbial network and vice versa.
doi_str_mv 10.3390/microorganisms8050785
format Article
fullrecord <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_pubmed_primary_32456263</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A647190500</galeid><doaj_id>oai_doaj_org_article_66db6241302540df9ee3bc7b4c2ed408</doaj_id><sourcerecordid>A647190500</sourcerecordid><originalsourceid>FETCH-LOGICAL-c533t-1d528188c65d248e1943b61264db9329db4bfa074e3e5e1c48f172864d5773923</originalsourceid><addsrcrecordid>eNptUk1vEzEQXSEQrUJ_AsgSFy4Bf9t7QQoVlIoAB8rZ8tqzqcPGLrZT1H-Pk5TSInywLb83b96Mp-ueE_yasR6_2QSXU8orG0PZFI0FVlo86o4pVnJOJVaP792PupNS1ritnjAtyNPuiFEuJJXsuPOf4Aa9s65CDhaFiOoloLNtRZ93KYaQqkVfoP5K-QcaU97DF9nGEmpIEQ0NAojoG3iI1eYbZKNHC1fDNaBlGKHUmwmedU9GOxU4uT1n3fcP7y9OP86XX8_OTxfLuROM1TnxgmqitZPCU66B9JwNklDJ_dAz2vuBD6PFigMDAcRxPRJFdYOFUqynbNadH3R9smtzlcOmOTLJBrN_aA0zNtfgJjBS-kFSThimgmM_9gBscGrgjoLnWDettwetq-2wAe9aedlOD0QfIjFcmlW6Ns2RoIo3gVe3Ajn93LZGmE0oDqbJRkjbYijHihHK2j7rXv5DXadtjq1Ve5bUzWT_l7WyrYAQx9Tyup2oWUiuSN_GADeWOLDa95WSYbyzTLDZDY_57_C0uBf3672L-jMq7Dd698K9</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2407680259</pqid></control><display><type>article</type><title>Key Bacteria in the Gut Microbiota Network for the Transition between Sedentary and Active Lifestyle</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>PubMed Central Open Access</source><creator>Castellanos, Nazareth ; Diez, Gustavo G ; Antúnez-Almagro, Carmen ; Bressa, Carlo ; Bailén, María ; González-Soltero, Rocío ; Pérez, Margarita ; Larrosa, Mar</creator><creatorcontrib>Castellanos, Nazareth ; Diez, Gustavo G ; Antúnez-Almagro, Carmen ; Bressa, Carlo ; Bailén, María ; González-Soltero, Rocío ; Pérez, Margarita ; Larrosa, Mar</creatorcontrib><description>Physical activity modifies the gut microbiota, exerting health benefits on the host; however, the specific bacteria associated with exercise are not yet known. In this work, we propose a novel method, based on hierarchical topology, to study the differences between the microbiota of active and sedentary lifestyles, and to identify relevant bacterial taxa. Our results show that the microbiota network found in active people has a significantly higher overall efficiency and higher transmissibility rate. We also identified key bacteria in active and sedentary networks that could be involved in the conversion of an active microbial network to a sedentary microbial network and vice versa.</description><identifier>ISSN: 2076-2607</identifier><identifier>EISSN: 2076-2607</identifier><identifier>DOI: 10.3390/microorganisms8050785</identifier><identifier>PMID: 32456263</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Bacteria ; Communication ; Deoxyribonucleic acid ; DNA ; Efficiency ; Exercise ; Intestinal microflora ; Lifestyles ; microbial interactions ; Microbiota ; Microbiota (Symbiotic organisms) ; Microorganisms ; network flow coefficient ; network topology ; Physical activity ; physical exercise ; Physical fitness ; Physiological aspects ; sedentarism ; Sedentary behavior ; Statistical analysis ; Topology ; transition bacteria</subject><ispartof>Microorganisms (Basel), 2020-05, Vol.8 (5), p.785</ispartof><rights>COPYRIGHT 2020 MDPI AG</rights><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 by the authors. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c533t-1d528188c65d248e1943b61264db9329db4bfa074e3e5e1c48f172864d5773923</citedby><cites>FETCH-LOGICAL-c533t-1d528188c65d248e1943b61264db9329db4bfa074e3e5e1c48f172864d5773923</cites><orcidid>0000-0001-5201-906X ; 0000-0002-8863-4686 ; 0000-0001-9799-0570</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285274/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285274/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32456263$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Castellanos, Nazareth</creatorcontrib><creatorcontrib>Diez, Gustavo G</creatorcontrib><creatorcontrib>Antúnez-Almagro, Carmen</creatorcontrib><creatorcontrib>Bressa, Carlo</creatorcontrib><creatorcontrib>Bailén, María</creatorcontrib><creatorcontrib>González-Soltero, Rocío</creatorcontrib><creatorcontrib>Pérez, Margarita</creatorcontrib><creatorcontrib>Larrosa, Mar</creatorcontrib><title>Key Bacteria in the Gut Microbiota Network for the Transition between Sedentary and Active Lifestyle</title><title>Microorganisms (Basel)</title><addtitle>Microorganisms</addtitle><description>Physical activity modifies the gut microbiota, exerting health benefits on the host; however, the specific bacteria associated with exercise are not yet known. In this work, we propose a novel method, based on hierarchical topology, to study the differences between the microbiota of active and sedentary lifestyles, and to identify relevant bacterial taxa. Our results show that the microbiota network found in active people has a significantly higher overall efficiency and higher transmissibility rate. We also identified key bacteria in active and sedentary networks that could be involved in the conversion of an active microbial network to a sedentary microbial network and vice versa.</description><subject>Bacteria</subject><subject>Communication</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>Efficiency</subject><subject>Exercise</subject><subject>Intestinal microflora</subject><subject>Lifestyles</subject><subject>microbial interactions</subject><subject>Microbiota</subject><subject>Microbiota (Symbiotic organisms)</subject><subject>Microorganisms</subject><subject>network flow coefficient</subject><subject>network topology</subject><subject>Physical activity</subject><subject>physical exercise</subject><subject>Physical fitness</subject><subject>Physiological aspects</subject><subject>sedentarism</subject><subject>Sedentary behavior</subject><subject>Statistical analysis</subject><subject>Topology</subject><subject>transition bacteria</subject><issn>2076-2607</issn><issn>2076-2607</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNptUk1vEzEQXSEQrUJ_AsgSFy4Bf9t7QQoVlIoAB8rZ8tqzqcPGLrZT1H-Pk5TSInywLb83b96Mp-ueE_yasR6_2QSXU8orG0PZFI0FVlo86o4pVnJOJVaP792PupNS1ritnjAtyNPuiFEuJJXsuPOf4Aa9s65CDhaFiOoloLNtRZ93KYaQqkVfoP5K-QcaU97DF9nGEmpIEQ0NAojoG3iI1eYbZKNHC1fDNaBlGKHUmwmedU9GOxU4uT1n3fcP7y9OP86XX8_OTxfLuROM1TnxgmqitZPCU66B9JwNklDJ_dAz2vuBD6PFigMDAcRxPRJFdYOFUqynbNadH3R9smtzlcOmOTLJBrN_aA0zNtfgJjBS-kFSThimgmM_9gBscGrgjoLnWDettwetq-2wAe9aedlOD0QfIjFcmlW6Ns2RoIo3gVe3Ajn93LZGmE0oDqbJRkjbYijHihHK2j7rXv5DXadtjq1Ve5bUzWT_l7WyrYAQx9Tyup2oWUiuSN_GADeWOLDa95WSYbyzTLDZDY_57_C0uBf3672L-jMq7Dd698K9</recordid><startdate>20200524</startdate><enddate>20200524</enddate><creator>Castellanos, Nazareth</creator><creator>Diez, Gustavo G</creator><creator>Antúnez-Almagro, Carmen</creator><creator>Bressa, Carlo</creator><creator>Bailén, María</creator><creator>González-Soltero, Rocío</creator><creator>Pérez, Margarita</creator><creator>Larrosa, Mar</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T7</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M7P</scope><scope>P64</scope><scope>PATMY</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PKEHL</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-5201-906X</orcidid><orcidid>https://orcid.org/0000-0002-8863-4686</orcidid><orcidid>https://orcid.org/0000-0001-9799-0570</orcidid></search><sort><creationdate>20200524</creationdate><title>Key Bacteria in the Gut Microbiota Network for the Transition between Sedentary and Active Lifestyle</title><author>Castellanos, Nazareth ; Diez, Gustavo G ; Antúnez-Almagro, Carmen ; Bressa, Carlo ; Bailén, María ; González-Soltero, Rocío ; Pérez, Margarita ; Larrosa, Mar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c533t-1d528188c65d248e1943b61264db9329db4bfa074e3e5e1c48f172864d5773923</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Bacteria</topic><topic>Communication</topic><topic>Deoxyribonucleic acid</topic><topic>DNA</topic><topic>Efficiency</topic><topic>Exercise</topic><topic>Intestinal microflora</topic><topic>Lifestyles</topic><topic>microbial interactions</topic><topic>Microbiota</topic><topic>Microbiota (Symbiotic organisms)</topic><topic>Microorganisms</topic><topic>network flow coefficient</topic><topic>network topology</topic><topic>Physical activity</topic><topic>physical exercise</topic><topic>Physical fitness</topic><topic>Physiological aspects</topic><topic>sedentarism</topic><topic>Sedentary behavior</topic><topic>Statistical analysis</topic><topic>Topology</topic><topic>transition bacteria</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Castellanos, Nazareth</creatorcontrib><creatorcontrib>Diez, Gustavo G</creatorcontrib><creatorcontrib>Antúnez-Almagro, Carmen</creatorcontrib><creatorcontrib>Bressa, Carlo</creatorcontrib><creatorcontrib>Bailén, María</creatorcontrib><creatorcontrib>González-Soltero, Rocío</creatorcontrib><creatorcontrib>Pérez, Margarita</creatorcontrib><creatorcontrib>Larrosa, Mar</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied &amp; Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Microorganisms (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Castellanos, Nazareth</au><au>Diez, Gustavo G</au><au>Antúnez-Almagro, Carmen</au><au>Bressa, Carlo</au><au>Bailén, María</au><au>González-Soltero, Rocío</au><au>Pérez, Margarita</au><au>Larrosa, Mar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Key Bacteria in the Gut Microbiota Network for the Transition between Sedentary and Active Lifestyle</atitle><jtitle>Microorganisms (Basel)</jtitle><addtitle>Microorganisms</addtitle><date>2020-05-24</date><risdate>2020</risdate><volume>8</volume><issue>5</issue><spage>785</spage><pages>785-</pages><issn>2076-2607</issn><eissn>2076-2607</eissn><abstract>Physical activity modifies the gut microbiota, exerting health benefits on the host; however, the specific bacteria associated with exercise are not yet known. In this work, we propose a novel method, based on hierarchical topology, to study the differences between the microbiota of active and sedentary lifestyles, and to identify relevant bacterial taxa. Our results show that the microbiota network found in active people has a significantly higher overall efficiency and higher transmissibility rate. We also identified key bacteria in active and sedentary networks that could be involved in the conversion of an active microbial network to a sedentary microbial network and vice versa.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>32456263</pmid><doi>10.3390/microorganisms8050785</doi><orcidid>https://orcid.org/0000-0001-5201-906X</orcidid><orcidid>https://orcid.org/0000-0002-8863-4686</orcidid><orcidid>https://orcid.org/0000-0001-9799-0570</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2076-2607
ispartof Microorganisms (Basel), 2020-05, Vol.8 (5), p.785
issn 2076-2607
2076-2607
language eng
recordid cdi_pubmed_primary_32456263
source MDPI - Multidisciplinary Digital Publishing Institute; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; PubMed Central Open Access
subjects Bacteria
Communication
Deoxyribonucleic acid
DNA
Efficiency
Exercise
Intestinal microflora
Lifestyles
microbial interactions
Microbiota
Microbiota (Symbiotic organisms)
Microorganisms
network flow coefficient
network topology
Physical activity
physical exercise
Physical fitness
Physiological aspects
sedentarism
Sedentary behavior
Statistical analysis
Topology
transition bacteria
title Key Bacteria in the Gut Microbiota Network for the Transition between Sedentary and Active Lifestyle
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-20T20%3A03%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Key%20Bacteria%20in%20the%20Gut%20Microbiota%20Network%20for%20the%20Transition%20between%20Sedentary%20and%20Active%20Lifestyle&rft.jtitle=Microorganisms%20(Basel)&rft.au=Castellanos,%20Nazareth&rft.date=2020-05-24&rft.volume=8&rft.issue=5&rft.spage=785&rft.pages=785-&rft.issn=2076-2607&rft.eissn=2076-2607&rft_id=info:doi/10.3390/microorganisms8050785&rft_dat=%3Cgale_doaj_%3EA647190500%3C/gale_doaj_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2407680259&rft_id=info:pmid/32456263&rft_galeid=A647190500&rft_doaj_id=oai_doaj_org_article_66db6241302540df9ee3bc7b4c2ed408&rfr_iscdi=true