Poor feed efficiency in sheep is associated with several structural abnormalities in the community metabolic network of their ruminal microbes
Ruminant animals have a symbiotic relationship with the microorganisms in their rumens. In this relationship, rumen microbes efficiently degrade complex plant-derived compounds into smaller digestible compounds, a process that is very likely associated with host animal feed efficiency. The resulting...
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creator | Patil, Rocky D Ellison, Melinda J Wolff, Sara M Shearer, Courtney Wright, Anna M Cockrum, Rebecca R Austin, Kathy J Lamberson, William R Cammack, Kristi M Conant, Gavin C |
description | Ruminant animals have a symbiotic relationship with the microorganisms in their rumens. In this relationship, rumen microbes efficiently degrade complex plant-derived compounds into smaller digestible compounds, a process that is very likely associated with host animal feed efficiency. The resulting simpler metabolites can then be absorbed by the host and converted into other compounds by host enzymes. We used a microbial community metabolic network inferred from shotgun metagenomics data to assess how this metabolic system differs between animals that are able to turn ingested feedstuffs into body mass with high efficiency and those that are not. We conducted shotgun sequencing of microbial DNA from the rumen contents of 16 sheep that differed in their residual feed intake (RFI), a measure of feed efficiency. Metagenomic reads from each sheep were mapped onto a database-derived microbial metabolic network, which was linked to the sheep metabolic network by interface metabolites (metabolites transferred from microbes to host). No single enzyme was identified as being significantly different in abundance between the low and high RFI animals (P > 0.05, Wilcoxon test). However, when we analyzed the metabolic network as a whole, we found several differences between efficient and inefficient animals. Microbes from low RFI (efficient) animals use a suite of enzymes closer in network space to the host's reactions than those of the high RFI (inefficient) animals. Similarly, low RFI animals have microbial metabolic networks that, on average, contain reactions using shorter carbon chains than do those of high RFI animals, potentially allowing the host animals to extract metabolites more efficiently. Finally, the efficient animals possess community networks with greater Shannon diversity among their enzymes than do inefficient ones. Thus, our system approach to the ruminal microbiome identified differences attributable to feed efficiency in the structure of the microbes' community metabolic network that were undetected at the level of individual microbial taxa or reactions. |
doi_str_mv | 10.1093/jas/sky096 |
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In this relationship, rumen microbes efficiently degrade complex plant-derived compounds into smaller digestible compounds, a process that is very likely associated with host animal feed efficiency. The resulting simpler metabolites can then be absorbed by the host and converted into other compounds by host enzymes. We used a microbial community metabolic network inferred from shotgun metagenomics data to assess how this metabolic system differs between animals that are able to turn ingested feedstuffs into body mass with high efficiency and those that are not. We conducted shotgun sequencing of microbial DNA from the rumen contents of 16 sheep that differed in their residual feed intake (RFI), a measure of feed efficiency. Metagenomic reads from each sheep were mapped onto a database-derived microbial metabolic network, which was linked to the sheep metabolic network by interface metabolites (metabolites transferred from microbes to host). No single enzyme was identified as being significantly different in abundance between the low and high RFI animals (P > 0.05, Wilcoxon test). However, when we analyzed the metabolic network as a whole, we found several differences between efficient and inefficient animals. Microbes from low RFI (efficient) animals use a suite of enzymes closer in network space to the host's reactions than those of the high RFI (inefficient) animals. Similarly, low RFI animals have microbial metabolic networks that, on average, contain reactions using shorter carbon chains than do those of high RFI animals, potentially allowing the host animals to extract metabolites more efficiently. Finally, the efficient animals possess community networks with greater Shannon diversity among their enzymes than do inefficient ones. Thus, our system approach to the ruminal microbiome identified differences attributable to feed efficiency in the structure of the microbes' community metabolic network that were undetected at the level of individual microbial taxa or reactions.</description><identifier>ISSN: 0021-8812</identifier><identifier>EISSN: 1525-3163</identifier><identifier>DOI: 10.1093/jas/sky096</identifier><identifier>PMID: 29788417</identifier><language>eng</language><publisher>United States: Oxford University Press</publisher><subject>Abnormalities ; Animal feed ; Animal Feed - analysis ; Animal Genetics and Genomics ; Animals ; Body mass ; Deoxyribonucleic acid ; DNA ; DNA sequencing ; Efficiency ; Enzymes ; Feed efficiency ; Feed science ; Female ; Gastrointestinal Microbiome ; Metabolic networks ; Metabolic Networks and Pathways ; Metabolites ; Metagenomics ; Microbiomes ; Microbiota ; Microorganisms ; Ovis aries ; Plants ; Rumen ; Rumen - metabolism ; Rumen - microbiology ; Sheep ; Sheep - microbiology ; Sheep - physiology ; Stomach</subject><ispartof>Journal of animal science, 2018-06, Vol.96 (6), p.2113-2124</ispartof><rights>Copyright Oxford University Press, UK Jun 2018</rights><rights>The Author(s) 2018. Published by Oxford University Press on behalf of the American Society of Animal Science. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6095279/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6095279/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,725,778,782,883,27907,27908,53774,53776</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29788417$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Patil, Rocky D</creatorcontrib><creatorcontrib>Ellison, Melinda J</creatorcontrib><creatorcontrib>Wolff, Sara M</creatorcontrib><creatorcontrib>Shearer, Courtney</creatorcontrib><creatorcontrib>Wright, Anna M</creatorcontrib><creatorcontrib>Cockrum, Rebecca R</creatorcontrib><creatorcontrib>Austin, Kathy J</creatorcontrib><creatorcontrib>Lamberson, William R</creatorcontrib><creatorcontrib>Cammack, Kristi M</creatorcontrib><creatorcontrib>Conant, Gavin C</creatorcontrib><title>Poor feed efficiency in sheep is associated with several structural abnormalities in the community metabolic network of their ruminal microbes</title><title>Journal of animal science</title><addtitle>J Anim Sci</addtitle><description>Ruminant animals have a symbiotic relationship with the microorganisms in their rumens. In this relationship, rumen microbes efficiently degrade complex plant-derived compounds into smaller digestible compounds, a process that is very likely associated with host animal feed efficiency. The resulting simpler metabolites can then be absorbed by the host and converted into other compounds by host enzymes. We used a microbial community metabolic network inferred from shotgun metagenomics data to assess how this metabolic system differs between animals that are able to turn ingested feedstuffs into body mass with high efficiency and those that are not. We conducted shotgun sequencing of microbial DNA from the rumen contents of 16 sheep that differed in their residual feed intake (RFI), a measure of feed efficiency. Metagenomic reads from each sheep were mapped onto a database-derived microbial metabolic network, which was linked to the sheep metabolic network by interface metabolites (metabolites transferred from microbes to host). No single enzyme was identified as being significantly different in abundance between the low and high RFI animals (P > 0.05, Wilcoxon test). However, when we analyzed the metabolic network as a whole, we found several differences between efficient and inefficient animals. Microbes from low RFI (efficient) animals use a suite of enzymes closer in network space to the host's reactions than those of the high RFI (inefficient) animals. Similarly, low RFI animals have microbial metabolic networks that, on average, contain reactions using shorter carbon chains than do those of high RFI animals, potentially allowing the host animals to extract metabolites more efficiently. Finally, the efficient animals possess community networks with greater Shannon diversity among their enzymes than do inefficient ones. Thus, our system approach to the ruminal microbiome identified differences attributable to feed efficiency in the structure of the microbes' community metabolic network that were undetected at the level of individual microbial taxa or reactions.</description><subject>Abnormalities</subject><subject>Animal feed</subject><subject>Animal Feed - analysis</subject><subject>Animal Genetics and Genomics</subject><subject>Animals</subject><subject>Body mass</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>DNA sequencing</subject><subject>Efficiency</subject><subject>Enzymes</subject><subject>Feed efficiency</subject><subject>Feed science</subject><subject>Female</subject><subject>Gastrointestinal Microbiome</subject><subject>Metabolic networks</subject><subject>Metabolic Networks and Pathways</subject><subject>Metabolites</subject><subject>Metagenomics</subject><subject>Microbiomes</subject><subject>Microbiota</subject><subject>Microorganisms</subject><subject>Ovis aries</subject><subject>Plants</subject><subject>Rumen</subject><subject>Rumen - metabolism</subject><subject>Rumen - microbiology</subject><subject>Sheep</subject><subject>Sheep - microbiology</subject><subject>Sheep - physiology</subject><subject>Stomach</subject><issn>0021-8812</issn><issn>1525-3163</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpdkU1v1DAQhi0Eokvhwg9AlrhwCfVHnNgXJFSVD6lSObTnaOKMWW9je7GdVvsn-M1kRUHQ04w0zzyaV0PIa87ec2bk2Q7KWbk9MNM9IRuuhGok7-RTsmFM8EZrLk7Ii1J2jHGhjHpOToTptW55vyE_v6WUqUOcKDrnrcdoD9RHWraIe-oLhVKS9VBX4t7XLS14hxlmWmpebF2OLYwx5QCzrx7LcblukdoUwhJ9PdCAFcY0e0sj1vuUb2lyR8Rnmpfg42oI3uY0YnlJnjmYC756qKfk5tPF9fmX5vLq89fzj5fNXpi2Nq1VEhQHqUaLTjuFQnRK2Yk5p6VurdEC5AS66xXT7TgqsEZIzQEnAKvlKfnw27tfxoCTxVjXIMM--wD5MCTww_-T6LfD93Q3dMwo0ZtV8O5BkNOPBUsdgi8W5xkipqUMgrWSay0EX9G3j9BdWvKa-kiprje613Kl3vx70d9T_rxK_gJKbpqr</recordid><startdate>20180601</startdate><enddate>20180601</enddate><creator>Patil, Rocky D</creator><creator>Ellison, Melinda J</creator><creator>Wolff, Sara M</creator><creator>Shearer, Courtney</creator><creator>Wright, Anna M</creator><creator>Cockrum, Rebecca R</creator><creator>Austin, Kathy J</creator><creator>Lamberson, William R</creator><creator>Cammack, Kristi M</creator><creator>Conant, Gavin C</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>3V.</scope><scope>7RQ</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M2P</scope><scope>M7P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope><scope>U9A</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20180601</creationdate><title>Poor feed efficiency in sheep is associated with several structural abnormalities in the community metabolic network of their ruminal microbes</title><author>Patil, Rocky D ; Ellison, Melinda J ; Wolff, Sara M ; Shearer, Courtney ; Wright, Anna M ; Cockrum, Rebecca R ; Austin, Kathy J ; Lamberson, William R ; Cammack, Kristi M ; Conant, Gavin C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p294t-4c53a51a35bcef8f5e22655cd0ff8384c982a3da8675084bb5ac92381aedaac83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Abnormalities</topic><topic>Animal feed</topic><topic>Animal Feed - analysis</topic><topic>Animal Genetics and Genomics</topic><topic>Animals</topic><topic>Body mass</topic><topic>Deoxyribonucleic acid</topic><topic>DNA</topic><topic>DNA sequencing</topic><topic>Efficiency</topic><topic>Enzymes</topic><topic>Feed efficiency</topic><topic>Feed science</topic><topic>Female</topic><topic>Gastrointestinal Microbiome</topic><topic>Metabolic networks</topic><topic>Metabolic Networks and Pathways</topic><topic>Metabolites</topic><topic>Metagenomics</topic><topic>Microbiomes</topic><topic>Microbiota</topic><topic>Microorganisms</topic><topic>Ovis aries</topic><topic>Plants</topic><topic>Rumen</topic><topic>Rumen - metabolism</topic><topic>Rumen - microbiology</topic><topic>Sheep</topic><topic>Sheep - microbiology</topic><topic>Sheep - physiology</topic><topic>Stomach</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Patil, Rocky D</creatorcontrib><creatorcontrib>Ellison, Melinda J</creatorcontrib><creatorcontrib>Wolff, Sara M</creatorcontrib><creatorcontrib>Shearer, Courtney</creatorcontrib><creatorcontrib>Wright, Anna M</creatorcontrib><creatorcontrib>Cockrum, Rebecca R</creatorcontrib><creatorcontrib>Austin, Kathy J</creatorcontrib><creatorcontrib>Lamberson, William R</creatorcontrib><creatorcontrib>Cammack, Kristi M</creatorcontrib><creatorcontrib>Conant, Gavin C</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>ProQuest Central (Corporate)</collection><collection>Career & Technical Education Database</collection><collection>Agricultural Science Collection</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>STEM Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</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>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Science Database (ProQuest)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Environmental Science 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 China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of animal science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Patil, Rocky D</au><au>Ellison, Melinda J</au><au>Wolff, Sara M</au><au>Shearer, Courtney</au><au>Wright, Anna M</au><au>Cockrum, Rebecca R</au><au>Austin, Kathy J</au><au>Lamberson, William R</au><au>Cammack, Kristi M</au><au>Conant, Gavin C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Poor feed efficiency in sheep is associated with several structural abnormalities in the community metabolic network of their ruminal microbes</atitle><jtitle>Journal of animal science</jtitle><addtitle>J Anim Sci</addtitle><date>2018-06-01</date><risdate>2018</risdate><volume>96</volume><issue>6</issue><spage>2113</spage><epage>2124</epage><pages>2113-2124</pages><issn>0021-8812</issn><eissn>1525-3163</eissn><abstract>Ruminant animals have a symbiotic relationship with the microorganisms in their rumens. In this relationship, rumen microbes efficiently degrade complex plant-derived compounds into smaller digestible compounds, a process that is very likely associated with host animal feed efficiency. The resulting simpler metabolites can then be absorbed by the host and converted into other compounds by host enzymes. We used a microbial community metabolic network inferred from shotgun metagenomics data to assess how this metabolic system differs between animals that are able to turn ingested feedstuffs into body mass with high efficiency and those that are not. We conducted shotgun sequencing of microbial DNA from the rumen contents of 16 sheep that differed in their residual feed intake (RFI), a measure of feed efficiency. Metagenomic reads from each sheep were mapped onto a database-derived microbial metabolic network, which was linked to the sheep metabolic network by interface metabolites (metabolites transferred from microbes to host). No single enzyme was identified as being significantly different in abundance between the low and high RFI animals (P > 0.05, Wilcoxon test). However, when we analyzed the metabolic network as a whole, we found several differences between efficient and inefficient animals. Microbes from low RFI (efficient) animals use a suite of enzymes closer in network space to the host's reactions than those of the high RFI (inefficient) animals. Similarly, low RFI animals have microbial metabolic networks that, on average, contain reactions using shorter carbon chains than do those of high RFI animals, potentially allowing the host animals to extract metabolites more efficiently. Finally, the efficient animals possess community networks with greater Shannon diversity among their enzymes than do inefficient ones. Thus, our system approach to the ruminal microbiome identified differences attributable to feed efficiency in the structure of the microbes' community metabolic network that were undetected at the level of individual microbial taxa or reactions.</abstract><cop>United States</cop><pub>Oxford University Press</pub><pmid>29788417</pmid><doi>10.1093/jas/sky096</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Abnormalities Animal feed Animal Feed - analysis Animal Genetics and Genomics Animals Body mass Deoxyribonucleic acid DNA DNA sequencing Efficiency Enzymes Feed efficiency Feed science Female Gastrointestinal Microbiome Metabolic networks Metabolic Networks and Pathways Metabolites Metagenomics Microbiomes Microbiota Microorganisms Ovis aries Plants Rumen Rumen - metabolism Rumen - microbiology Sheep Sheep - microbiology Sheep - physiology Stomach |
title | Poor feed efficiency in sheep is associated with several structural abnormalities in the community metabolic network of their ruminal microbes |
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