{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T06:12:44Z","timestamp":1788502364492,"version":"build-2803163510"},"reference-count":56,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T00:00:00Z","timestamp":1788480000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Microbiol."],"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>\n                      Methane, a greenhouse gas, is produced in the rumen microbiome of ruminants. Various nutritional strategies can reduce enteric methane (CH\n                      <jats:sub>4<\/jats:sub>\n                      ) emissions from livestock, but it is unclear whether diet affects rumen microbiome similarly across ruminant species. The objective of this study was to determine whether cows and goats differ in their rumen microbial functional responses to dietary strategies based on starch and\/or lipid supplementation, and whether these differences explain diet-associated variation in CH\n                      <jats:sub>4<\/jats:sub>\n                      emissions under comparable experimental conditions.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Experiments were conducted simultaneously, and both species received the same diet based on grassland hay and concentrate as the Control diet (CTL) or supplemented with corn oil and wheat starch (COS), marine algae powder (MAP) or hydrogenated palm oil (HPO). To identify biologically relevant features from the rumen microbial metatranscriptomes, we followed a five-step integrative statistical and network analysis pipeline, combining a network-based approach with clustering and supervised model fitting to associate differentially expressed genes and taxa with CH\n                      <jats:sub>4<\/jats:sub>\n                      emissions in the rumen.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The COS diet lowered CH\n                      <jats:sub>4<\/jats:sub>\n                      emissions in both cows and goats and altered their rumen microbiomes. However, the number of differentially expressed KEGG orthologs and differentially abundant OTUs identified in the COS vs CTL comparison was greater in cows than in goats. Moreover, clustering analysis revealed differences in network topology between ruminant species. In goats, CH\n                      <jats:sub>4<\/jats:sub>\n                      emission reduction was strongly associated with genes involved in carbohydrate metabolism and methylotrophic and hydrogenotrophic pathways of methanogenesis; whereas in cows, hydrogenotrophic pathways were prominent. Additionally, sparse Partial Least Squares (sPLS) analysis identified species-specific discriminant microbial features.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>Overall, these results show that host species modulates rumen microbial responses to diet and suggest that microbial interactions underlying CH\u2084 mitigation differ between cows and goats, although validation in independent studies involving larger sample sizes is required.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fmicb.2026.1852812","type":"journal-article","created":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T05:29:59Z","timestamp":1788499799000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Species-specific rumen microbial responses to dietary inhibition of methanogenesis in cows and goats"],"prefix":"10.3389","volume":"17","author":[{"given":"Karla Fabiola","family":"Corral-Jara","sequence":"first","affiliation":[{"name":"Universit\u00e9 Clermont Auvergne, INRAE, VetAgro Sup, UMR 1213 Herbivores Unit","place":["Saint-G\u00e8nes-Champanelle, France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuliaxis","family":"Ramayo-Caldas","sequence":"additional","affiliation":[{"name":"Animal Breeding and Genetics Program, IRTA","place":["Caldes de Montbui, Spain"]},{"name":"Universit\u00e9 Paris-Saclay, INRAE, AgroParisTech, GABI","place":["Jouy-en-Josas, France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laurence","family":"Bernard","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Clermont Auvergne, INRAE, VetAgro Sup, UMR 1213 Herbivores Unit","place":["Saint-G\u00e8nes-Champanelle, France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"C\u00e9cile","family":"Martin","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Clermont Auvergne, INRAE, VetAgro Sup, UMR 1213 Herbivores Unit","place":["Saint-G\u00e8nes-Champanelle, France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeremy","family":"Tournayre","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Clermont Auvergne, INRAE, VetAgro Sup, UMR 1213 Herbivores Unit","place":["Saint-G\u00e8nes-Champanelle, France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Diego P.","family":"Morgavi","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Clermont Auvergne, INRAE, VetAgro Sup, UMR 1213 Herbivores Unit","place":["Saint-G\u00e8nes-Champanelle, France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Milka","family":"Popova","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Clermont Auvergne, INRAE, VetAgro Sup, UMR 1213 Herbivores Unit","place":["Saint-G\u00e8nes-Champanelle, France"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,9,4]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"1128","DOI":"10.1038\/s41396-023-01407-y","article-title":"Metabolic influence of core ciliates within the rumen microbiome","volume":"17","author":"Andersen","year":"2023","journal-title":"ISME J."},{"key":"ref2","volume-title":"FastQC: A Quality Control Tool for High Throughput Sequence Data","author":"Andrews","year":"2010"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2174\/1875036201307010001","article-title":"Comparison of sequencing utility programs","volume":"7","author":"Aronesty","year":"2013","journal-title":"Open Bioinform. 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