Host genetics shape productive lifespan in dairy cattle by sculpting rumen microbial metabolic functions

preprint OA: closed
Full text JSON View at publisher
Full text 25,277 characters · extracted from preprint-html · click to expand
Host genetics shape productive lifespan in dairy cattle by sculpting rumen microbial metabolic functions | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Host genetics shape productive lifespan in dairy cattle by sculpting rumen microbial metabolic functions Panping Yang, Zhuoxuan Wu, Zhuang Cao, Yujia Li, Lei Yan, Yuefei Yan, and 15 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9101224/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 9 You are reading this latest preprint version Abstract Background Rumen microbiota constitutes key determinants of productive lifespan in dairy cattle, a trait that lies at the heart of breeding program profitability. However, whether host genetic variation influences productive lifespan through its effects on the rumen microbiota remains largely unexplored. To address this, we generated and analyzed host genomic data, 16S rRNA sequences, metagenomic profiles, and longitudinal productive lifespan records from 333 dairy cows with divergent longevity. Results Rumen microbial community composition shifted significantly with increasing productive lifespan, characterized by a decline in firmicutes and an increase in proteobacteria , alongside reduced microbial diversity. We identified 28 core genera universally present across individuals and 113 keystone taxa through co-occurrence network analysis, which collectively represent functional hubs that may mediate host productive lifespan. Variance component analysis revealed substantial heritability in the rumen microbiome, with 82% of core genera and 87% of keystone taxa showing significant heritable signals. At the functional level, glycolysis/gluconeogenesis, quorum sensing, and the TCA cycle emerged as highly heritable pathways and exhibited strong genetic correlations with productive lifespan (|r_g| = 0.32–0.80). Productive lifespan itself was lowly heritable, yet the rumen microbiome explained 36.2% of its phenotypic variance-pointing to a major microbial contribution. Integrated microbiome-wide and genome-wide association studies identified four microbial genera and three host genetic variants significantly associated with productive lifespan. Multi-omics integration, combined with microbial genome assembly, further revealed that host genotypes influence productive lifespan indirectly through modulation of microbial metabolic pathways. Conclusions Integrating longitudinal multi-omics analyses, we uncovered a coordinated role for host genetics and rumen microbiota in regulating productive lifespan of dairy cattle, which lays the groundwork for genomically-informed, microbiome-targeted breeding strategies to enhance longevity, improve farm profitability, and support sustainable dairy production. Rumen microbiota Productive lifespan Host genetics Dairy cattle Heritability Microbiability Full Text Additional Declarations No competing interests reported. Supplementary Files Fig.S1PCAResultsAfterBatchCorrection.docx Fig.S2DifferencesinRumenCommunityStructureBetweenDairyCowswithDivergentProductiveLifespans.docx Fig.S3CorrelationAnalysisBetweenSpeciesPrevalenceandRelativeAbundance.docx Fig.S4Heritabledistributionofrumenmicrobialgenera.docx TableS2Detectionratesofrumenmicrobiotaatgenuslevelinacohortof340Holsteincattle.xlsx TableS3Heritabilityofrumenmicrobiota.csv Table.S4mbGWASresultsdata.xlsx Table.S6GWASfordairycowproductionlifespan.xlsx Table.S5MWASPval.xlsx TableS1.PLSDABatchEffect.xlsx Table.S7FunctionalannotationofgErysipelotrichaceaeUCG002fromassociatedmicrobes.xlsx Cite Share Download PDF Status: Under Review Version 1 posted Reviews received at journal 01 May, 2026 Reviewers agreed at journal 30 Apr, 2026 Reviewers agreed at journal 27 Apr, 2026 Reviewers agreed at journal 24 Apr, 2026 Reviewers agreed at journal 24 Apr, 2026 Reviewers invited by journal 22 Apr, 2026 Editor assigned by journal 14 Apr, 2026 Submission checks completed at journal 09 Apr, 2026 First submitted to journal 06 Apr, 2026 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-9101224","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":632994437,"identity":"3ca3e17a-24a5-40e2-904c-a4a1da5000a5","order_by":0,"name":"Panping Yang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA1klEQVRIie3PrwvCQBTA8TcObuVw9QSZ/8Klxe1fuWOwJiwuLAzUXRC7zX9BsFjHYOnsgxlmmdlmMPiDWedFwfvywgvvEx6AyfSL2VaGgAFgWxYtT1INgnoyIipkrap0yHsAXMq98XmBvgtnjpb7OD75OfAoERkGR674IKGllTcb1oU5FFUtDhOg6rgbJAw9CWFliK0sqoXCwOhMlyDwYpEjfeJjDB5okf6XkmNCQspVRb7+4kjZNfG9DKbbS3G9JanryPUw+SSyfiFa568C7UuTyWT6vx6OZkdugefVYgAAAABJRU5ErkJggg==","orcid":"","institution":"Henan Seed Industry Development Center","correspondingAuthor":true,"prefix":"","firstName":"Panping","middleName":"","lastName":"Yang","suffix":""},{"id":632994442,"identity":"51bbffac-3a3b-4aba-81b4-9caf12d9fd6f","order_by":1,"name":"Zhuoxuan Wu","email":"","orcid":"","institution":"Nanjing Agricultural University","correspondingAuthor":false,"prefix":"","firstName":"Zhuoxuan","middleName":"","lastName":"Wu","suffix":""},{"id":632994446,"identity":"d442bd0e-ce34-4532-8cdd-7f3c5dc32224","order_by":2,"name":"Zhuang Cao","email":"","orcid":"","institution":"Nanjing Agricultural University","correspondingAuthor":false,"prefix":"","firstName":"Zhuang","middleName":"","lastName":"Cao","suffix":""},{"id":632994447,"identity":"03a27635-3eb8-45a3-9904-c20a54f12edb","order_by":3,"name":"Yujia Li","email":"","orcid":"","institution":"Nanjing Agricultural University","correspondingAuthor":false,"prefix":"","firstName":"Yujia","middleName":"","lastName":"Li","suffix":""},{"id":632994452,"identity":"cbb8a3fb-e547-4cba-8eab-9c5fc54143e0","order_by":4,"name":"Lei Yan","email":"","orcid":"","institution":"Henan Seed Industry Development Center","correspondingAuthor":false,"prefix":"","firstName":"Lei","middleName":"","lastName":"Yan","suffix":""},{"id":632994462,"identity":"c619747c-6a41-4390-a141-5c33fdbd2a3d","order_by":5,"name":"Yuefei Yan","email":"","orcid":"","institution":"Henan Seed Industry Development Center","correspondingAuthor":false,"prefix":"","firstName":"Yuefei","middleName":"","lastName":"Yan","suffix":""},{"id":632994465,"identity":"cdb3045a-abe6-440f-9e94-94e77dc3c108","order_by":6,"name":"Feng Zhou","email":"","orcid":"","institution":"Henan Seed Industry Development Center","correspondingAuthor":false,"prefix":"","firstName":"Feng","middleName":"","lastName":"Zhou","suffix":""},{"id":632994469,"identity":"7ecd1d3a-e25a-4cd1-a86d-7cfd3884d25d","order_by":7,"name":"Shuhua Gu","email":"","orcid":"","institution":"Henan Dairy Herd Improvement Center","correspondingAuthor":false,"prefix":"","firstName":"Shuhua","middleName":"","lastName":"Gu","suffix":""},{"id":632994470,"identity":"65535d18-5c66-4b5f-846b-3f40678ba9aa","order_by":8,"name":"Changlei Liu","email":"","orcid":"","institution":"Henan Dairy Production Performance Measurement Co., Ltd","correspondingAuthor":false,"prefix":"","firstName":"Changlei","middleName":"","lastName":"Liu","suffix":""},{"id":632994472,"identity":"15d9a3b0-8f3f-4a55-b23e-cdec4a1a1c05","order_by":9,"name":"Xiaoli Ren","email":"","orcid":"","institution":"Henan Dairy Production Performance Measurement Co., Ltd","correspondingAuthor":false,"prefix":"","firstName":"Xiaoli","middleName":"","lastName":"Ren","suffix":""},{"id":632994476,"identity":"a67e15bd-59f3-478a-abe0-8b60325581ed","order_by":10,"name":"Zhiyang Zhang","email":"","orcid":"","institution":"Henan Dairy Herd Improvement Center","correspondingAuthor":false,"prefix":"","firstName":"Zhiyang","middleName":"","lastName":"Zhang","suffix":""},{"id":632994478,"identity":"888a3ae0-e437-4770-9aae-a73254fff797","order_by":11,"name":"Shanshan Gao","email":"","orcid":"","institution":"Henan Dairy Production Performance Measurement Co., Ltd","correspondingAuthor":false,"prefix":"","firstName":"Shanshan","middleName":"","lastName":"Gao","suffix":""},{"id":632994481,"identity":"3492eb8a-3372-4c75-a175-019cc104d750","order_by":12,"name":"Chaoying Huang","email":"","orcid":"","institution":"Henan Dairy Herd Improvement Center","correspondingAuthor":false,"prefix":"","firstName":"Chaoying","middleName":"","lastName":"Huang","suffix":""},{"id":632994483,"identity":"f81b352c-67a9-47e9-91f3-235cafa4b60d","order_by":13,"name":"Yaqin Wang","email":"","orcid":"","institution":"Henan Dairy Production Performance Measurement Co., Ltd","correspondingAuthor":false,"prefix":"","firstName":"Yaqin","middleName":"","lastName":"Wang","suffix":""},{"id":632994485,"identity":"7f863cf4-0d23-408a-b157-12980d3841bd","order_by":14,"name":"Yongkang Xue","email":"","orcid":"","institution":"Henan Dairy Production Performance Measurement Co., Ltd","correspondingAuthor":false,"prefix":"","firstName":"Yongkang","middleName":"","lastName":"Xue","suffix":""},{"id":632994489,"identity":"3e0ddb5d-957d-4a68-be8f-1191fd23948d","order_by":15,"name":"Xiaoman Liu","email":"","orcid":"","institution":"Henan Dairy Production Performance Measurement Co., Ltd","correspondingAuthor":false,"prefix":"","firstName":"Xiaoman","middleName":"","lastName":"Liu","suffix":""},{"id":632994490,"identity":"5c49d481-b142-4838-8cd9-fecc301219fe","order_by":16,"name":"Qianqian He","email":"","orcid":"","institution":"Henan Seed Industry Development Center","correspondingAuthor":false,"prefix":"","firstName":"Qianqian","middleName":"","lastName":"He","suffix":""},{"id":632994494,"identity":"11a71921-7f1e-4d50-92a9-0a942149f0fc","order_by":17,"name":"Dou Feng","email":"","orcid":"","institution":"Henan Seed Industry Development Center","correspondingAuthor":false,"prefix":"","firstName":"Dou","middleName":"","lastName":"Feng","suffix":""},{"id":632994496,"identity":"2493dea2-50e1-40c0-895d-d7aed426ac04","order_by":18,"name":"Jialun Yao","email":"","orcid":"","institution":"Henan Seed Industry Development Center","correspondingAuthor":false,"prefix":"","firstName":"Jialun","middleName":"","lastName":"Yao","suffix":""},{"id":632994500,"identity":"dab6cbe6-ebef-4dcb-87ed-ab441b740196","order_by":19,"name":"Huixia Li","email":"","orcid":"","institution":"Nanjing Agricultural University","correspondingAuthor":false,"prefix":"","firstName":"Huixia","middleName":"","lastName":"Li","suffix":""},{"id":632994502,"identity":"c068b376-e5aa-4cbe-8d4a-c89e07654c2d","order_by":20,"name":"Zhen Zhang","email":"","orcid":"","institution":"Henan Seed Industry Development Center","correspondingAuthor":false,"prefix":"","firstName":"Zhen","middleName":"","lastName":"Zhang","suffix":""}],"badges":[],"createdAt":"2026-03-12 07:08:48","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9101224/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9101224/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":109069193,"identity":"7d90949a-a843-4fb5-971e-b5ee6faa26ba","added_by":"auto","created_at":"2026-05-12 10:21:03","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1752624,"visible":true,"origin":"","legend":"","description":"","filename":"HostGeneticsShapesHeritableRumenMicrobiotatoSynergisticallyRegulateDairyCowProductiveLongevityviaMicrobialMetabolicNetworkInteractions.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9101224/v1_covered_9b93bf21-c8c7-4229-8a34-04fc58735b8f.pdf"},{"id":108457420,"identity":"abbe89cc-4b94-4d92-98cc-dfa622f11e7c","added_by":"auto","created_at":"2026-05-04 22:35:30","extension":"docx","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":75199,"visible":true,"origin":"","legend":"","description":"","filename":"Fig.S1PCAResultsAfterBatchCorrection.docx","url":"https://assets-eu.researchsquare.com/files/rs-9101224/v1/e33b122f450aa65f0ff959ca.docx"},{"id":108493762,"identity":"0292ac1b-237e-47a5-8fa2-b28b7f15aab9","added_by":"auto","created_at":"2026-05-05 10:01:36","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":277628,"visible":true,"origin":"","legend":"","description":"","filename":"Fig.S2DifferencesinRumenCommunityStructureBetweenDairyCowswithDivergentProductiveLifespans.docx","url":"https://assets-eu.researchsquare.com/files/rs-9101224/v1/4c53aff876909d3388ff434e.docx"},{"id":108457422,"identity":"039795db-868f-401f-a47b-d34c0cce6c9c","added_by":"auto","created_at":"2026-05-04 22:35:30","extension":"docx","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":85321,"visible":true,"origin":"","legend":"","description":"","filename":"Fig.S3CorrelationAnalysisBetweenSpeciesPrevalenceandRelativeAbundance.docx","url":"https://assets-eu.researchsquare.com/files/rs-9101224/v1/9b4efcf82859e04fd01d54fb.docx"},{"id":109067662,"identity":"15a420f4-922d-4231-b83b-f7233b0d25ea","added_by":"auto","created_at":"2026-05-12 09:59:14","extension":"docx","order_by":3,"title":"","display":"","copyAsset":false,"role":"supplement","size":101748,"visible":true,"origin":"","legend":"","description":"","filename":"Fig.S4Heritabledistributionofrumenmicrobialgenera.docx","url":"https://assets-eu.researchsquare.com/files/rs-9101224/v1/ac78cf28dfcb249d99660ea4.docx"},{"id":108457424,"identity":"735643f5-bfed-4d45-bf25-8b49b4fe9573","added_by":"auto","created_at":"2026-05-04 22:35:30","extension":"xlsx","order_by":5,"title":"","display":"","copyAsset":false,"role":"supplement","size":18226,"visible":true,"origin":"","legend":"","description":"","filename":"TableS2Detectionratesofrumenmicrobiotaatgenuslevelinacohortof340Holsteincattle.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-9101224/v1/aa6e91fb46b6ed5d3396897d.xlsx"},{"id":108457427,"identity":"52e85710-a888-4897-9525-c5db83b64bcd","added_by":"auto","created_at":"2026-05-04 22:35:30","extension":"csv","order_by":6,"title":"","display":"","copyAsset":false,"role":"supplement","size":16958,"visible":true,"origin":"","legend":"","description":"","filename":"TableS3Heritabilityofrumenmicrobiota.csv","url":"https://assets-eu.researchsquare.com/files/rs-9101224/v1/538a18d240b9dbbc2f33c7af.csv"},{"id":108457425,"identity":"dd39d753-c574-4c14-a4ce-7cc04306755e","added_by":"auto","created_at":"2026-05-04 22:35:30","extension":"xlsx","order_by":7,"title":"","display":"","copyAsset":false,"role":"supplement","size":20196,"visible":true,"origin":"","legend":"","description":"","filename":"Table.S4mbGWASresultsdata.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-9101224/v1/7baebafab5cd594bafa311a7.xlsx"},{"id":108493573,"identity":"b157d35b-b421-4898-9daf-0050edbc25a7","added_by":"auto","created_at":"2026-05-05 10:00:58","extension":"xlsx","order_by":8,"title":"","display":"","copyAsset":false,"role":"supplement","size":15584,"visible":true,"origin":"","legend":"","description":"","filename":"Table.S6GWASfordairycowproductionlifespan.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-9101224/v1/a79bde1d2df5b9e959e9653e.xlsx"},{"id":108457428,"identity":"da7a7167-91dc-45e0-afe5-1b797b359df8","added_by":"auto","created_at":"2026-05-04 22:35:30","extension":"xlsx","order_by":9,"title":"","display":"","copyAsset":false,"role":"supplement","size":17716,"visible":true,"origin":"","legend":"","description":"","filename":"Table.S5MWASPval.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-9101224/v1/a8d3c3d20088ed8631158672.xlsx"},{"id":108493568,"identity":"2801e349-36da-49de-8b04-056eea7e8cee","added_by":"auto","created_at":"2026-05-05 10:00:57","extension":"xlsx","order_by":10,"title":"","display":"","copyAsset":false,"role":"supplement","size":10955,"visible":true,"origin":"","legend":"","description":"","filename":"TableS1.PLSDABatchEffect.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-9101224/v1/ea6dd7382f9ec7f0853ea4c0.xlsx"},{"id":108457429,"identity":"497975d4-46c4-44e8-8fd6-9b7b301f4111","added_by":"auto","created_at":"2026-05-04 22:35:30","extension":"xlsx","order_by":10,"title":"","display":"","copyAsset":false,"role":"supplement","size":20586,"visible":true,"origin":"","legend":"","description":"","filename":"Table.S7FunctionalannotationofgErysipelotrichaceaeUCG002fromassociatedmicrobes.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-9101224/v1/3821d1439b42322bb3a0dbe1.xlsx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Host genetics shape productive lifespan in dairy cattle by sculpting rumen microbial metabolic functions","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"microbiome","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"mbio","sideBox":"Learn more about [Microbiome](http://microbiomejournal.biomedcentral.com/)","snPcode":"40168","submissionUrl":"https://submission.nature.com/new-submission/40168/3","title":"Microbiome","twitterHandle":"@MicrobiomeJ","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Rumen microbiota, Productive lifespan, Host genetics, Dairy cattle Heritability, Microbiability","lastPublishedDoi":"10.21203/rs.3.rs-9101224/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9101224/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cb\u003eBackground\u003c/b\u003e\u003c/p\u003e \u003cp\u003eRumen microbiota constitutes key determinants of productive lifespan in dairy cattle, a trait that lies at the heart of breeding program profitability. However, whether host genetic variation influences productive lifespan through its effects on the rumen microbiota remains largely unexplored. To address this, we generated and analyzed host genomic data, 16S rRNA sequences, metagenomic profiles, and longitudinal productive lifespan records from 333 dairy cows with divergent longevity.\u003c/p\u003e\u003cp\u003e\u003cb\u003eResults\u003c/b\u003e\u003c/p\u003e \u003cp\u003eRumen microbial community composition shifted significantly with increasing productive lifespan, characterized by a decline in \u003cem\u003efirmicutes\u003c/em\u003e and an increase in \u003cem\u003eproteobacteria\u003c/em\u003e, alongside reduced microbial diversity. We identified 28 core genera universally present across individuals and 113 keystone taxa through co-occurrence network analysis, which collectively represent functional hubs that may mediate host productive lifespan. Variance component analysis revealed substantial heritability in the rumen microbiome, with 82% of core genera and 87% of keystone taxa showing significant heritable signals. At the functional level, glycolysis/gluconeogenesis, quorum sensing, and the TCA cycle emerged as highly heritable pathways and exhibited strong genetic correlations with productive lifespan (|r_g| = 0.32\u0026ndash;0.80). Productive lifespan itself was lowly heritable, yet the rumen microbiome explained 36.2% of its phenotypic variance-pointing to a major microbial contribution. Integrated microbiome-wide and genome-wide association studies identified four microbial genera and three host genetic variants significantly associated with productive lifespan. Multi-omics integration, combined with microbial genome assembly, further revealed that host genotypes influence productive lifespan indirectly through modulation of microbial metabolic pathways.\u003c/p\u003e\u003cp\u003e\u003cb\u003eConclusions\u003c/b\u003e\u003c/p\u003e \u003cp\u003eIntegrating longitudinal multi-omics analyses, we uncovered a coordinated role for host genetics and rumen microbiota in regulating productive lifespan of dairy cattle, which lays the groundwork for genomically-informed, microbiome-targeted breeding strategies to enhance longevity, improve farm profitability, and support sustainable dairy production.\u003c/p\u003e","manuscriptTitle":"Host genetics shape productive lifespan in dairy cattle by sculpting rumen microbial metabolic functions","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-05-04 22:35:19","doi":"10.21203/rs.3.rs-9101224/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"editorInvitedReview","content":"","date":"2026-05-01T13:52:47+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"138890706451954881619263081158256833401","date":"2026-04-30T11:39:42+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"198564896001090375087732474130888274301","date":"2026-04-27T17:10:58+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"266787227460390683443102043205814746209","date":"2026-04-24T18:00:55+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"184552768839395628514492350263801370420","date":"2026-04-24T15:49:43+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2026-04-22T15:03:32+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2026-04-14T23:05:34+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2026-04-09T10:59:44+00:00","index":"","fulltext":""},{"type":"submitted","content":"Microbiome","date":"2026-04-07T02:05:38+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"microbiome","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"mbio","sideBox":"Learn more about [Microbiome](http://microbiomejournal.biomedcentral.com/)","snPcode":"40168","submissionUrl":"https://submission.nature.com/new-submission/40168/3","title":"Microbiome","twitterHandle":"@MicrobiomeJ","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"a81899bb-ad01-435f-a101-16226580d947","owner":[],"postedDate":"May 4th, 2026","published":true,"recentEditorialEvents":[{"type":"editorInvitedReview","content":"","date":"2026-05-01T13:52:47+00:00","index":37,"fulltext":""},{"type":"reviewerAgreed","content":"138890706451954881619263081158256833401","date":"2026-04-30T11:39:42+00:00","index":36,"fulltext":""}],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2026-05-04T22:35:20+00:00","versionOfRecord":[],"versionCreatedAt":"2026-05-04 22:35:19","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-9101224","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-9101224","identity":"rs-9101224","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2026) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00