{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T06:58:27Z","timestamp":1790405907210,"version":"4.1.0"},"reference-count":66,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T00:00:00Z","timestamp":1790121600000},"content-version":"vor","delay-in-days":22,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DP230101448"],"award-info":[{"award-number":["DP230101448"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011011","name":"Junta de Andaluc\u00eda","doi-asserted-by":"publisher","award":["P20_00879"],"award-info":[{"award-number":["P20_00879"]}],"id":[{"id":"10.13039\/501100011011","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Global Change Biology"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    The temperature sensitivity of soil microbial respiration (\n                    <jats:italic>Q<\/jats:italic>\n                    <jats:sub>10<\/jats:sub>\n                    ) is a major factor underpinning global soil carbon emissions under climate change. While microbial biomass is a key driver of\n                    <jats:italic>Q<\/jats:italic>\n                    <jats:sub>10<\/jats:sub>\n                    values, the role of microbial functional traits in explaining\n                    <jats:italic>Q<\/jats:italic>\n                    <jats:sub>10<\/jats:sub>\n                    values remains largely undetermined. Here, we combined temperature\u2010gradient incubations with a metagenomic database generated from a collection of surface soils collected across 196 natural ecosystems spanning all major biomes. We found that microbial functional traits related to carbohydrate metabolism and hemicellulose degradation, quantified as transcripts\u2010per\u2010million (TPM), are significantly correlated with\n                    <jats:italic>Q<\/jats:italic>\n                    <jats:sub>10<\/jats:sub>\n                    values. Moreover,\n                    <jats:italic>Q<\/jats:italic>\n                    <jats:sub>10<\/jats:sub>\n                    values display abrupt non\u2010linear shifts once thresholds of microbial functional traits are crossed. Global mapping further provides evidence that microbial functional traits associated with carbon degradation and high\n                    <jats:italic>Q<\/jats:italic>\n                    <jats:sub>10<\/jats:sub>\n                    values are concentrated within the planet's largest soil carbon reservoirs at high latitudes in the Northern Hemisphere. These regions could represent critical hotspots of vulnerability to soil carbon losses under climate warming. Our results provide a new step towards incorporating metagenomic data and non\u2010linear microbial responses into next\u2010generation carbon\u2013climate models.\n                  <\/jats:p>","DOI":"10.1111\/gcb.71101","type":"journal-article","created":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T05:59:07Z","timestamp":1790229547000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Microbial Functional Genes Help Explain Soil Carbon Sensitivity to Temperature Across Global Biomes"],"prefix":"10.1111","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9539-4716","authenticated-orcid":false,"given":"Tadeo","family":"S\u00e1ez\u2010Sandino","sequence":"first","affiliation":[{"name":"Hawkesbury Institute for the Environment Western Sydney University  Penrith New South Wales Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4413-4185","authenticated-orcid":false,"given":"Brajesh K.","family":"Singh","sequence":"additional","affiliation":[{"name":"Hawkesbury Institute for the Environment Western Sydney University  Penrith New South Wales Australia"},{"name":"School of Agriculture and Environment, Institute of Agriculture University of Western Australia  Crawley Western Australia Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3023-0494","authenticated-orcid":false,"given":"Chao","family":"Xiong","sequence":"additional","affiliation":[{"name":"School of Agriculture and Environment, Institute of Agriculture University of Western Australia  Crawley Western Australia Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1822-2176","authenticated-orcid":false,"given":"Juntao","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Agriculture and Environment, Institute of Agriculture University of Western Australia  Crawley Western Australia Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-6945-3325","authenticated-orcid":false,"given":"Chengjie","family":"Ren","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Crop Stress Resistance and High\u2010Efficiency Production, College of Agronomy Northwest A&amp;F University  Yangling Shaanxi China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manuel","family":"Delgado\u2010Baquerizo","sequence":"additional","affiliation":[{"name":"Laboratorio de Biodiversidad y Funcionamiento Ecosist\u00e9mico Instituto de Recursos Naturales y Agrobiolog\u00eda de Sevilla (IRNAS), CSIC  Sevilla Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,9,23]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1038\/s43705\u2010022\u201000109\u20104"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1038\/ngeo846"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467\u2010017\u201001753\u20104"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/9783527830756.ch11"},{"key":"e_1_2_9_6_1","doi-asserted-by":"crossref","unstructured":"Benito B. M.2021.\u201cspatialRF: Easy Spatial Regression With Random Forest Measurement.\u201dhttps:\/\/doi.org\/10.5281\/zenodo.4745208.","DOI":"10.32614\/CRAN.package.spatialRF"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.aay5958"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/S11749\u2010018\u20100599\u2010X"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1128\/AEM.69.6.3593\u20103599.2003"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.1038\/S41467\u2010026\u201073231\u20109"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41559\u2010018\u20100770\u20105"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature04514"},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1818400116"},{"key":"e_1_2_9_15_1","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.abg5809"},{"key":"e_1_2_9_16_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467\u2010020\u201018451\u20103"},{"key":"e_1_2_9_17_1","doi-asserted-by":"publisher","DOI":"10.1111\/GCB.16544"},{"key":"e_1_2_9_18_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365\u20102486.2012.02665.x"},{"key":"e_1_2_9_19_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41561\u2010023\u201001170\u2010x"},{"key":"e_1_2_9_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/J.JHAZMAT.2025.140315"},{"key":"e_1_2_9_21_1","doi-asserted-by":"publisher","DOI":"10.1002\/joc.5086"},{"key":"e_1_2_9_22_1","doi-asserted-by":"publisher","DOI":"10.1128\/AEM.71.7.4117\u20104120.2005"},{"key":"e_1_2_9_23_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12859\u2010017\u20101863\u2010x"},{"key":"e_1_2_9_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.soilbio.2016.06.032"},{"key":"e_1_2_9_25_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bts565"},{"key":"e_1_2_9_26_1","doi-asserted-by":"publisher","DOI":"10.1038\/s43017\u2010021\u201000178\u20104"},{"key":"e_1_2_9_27_1","doi-asserted-by":"publisher","DOI":"10.1111\/gcb.14316"},{"key":"e_1_2_9_28_1","doi-asserted-by":"publisher","DOI":"10.1890\/02\u20103114"},{"key":"e_1_2_9_29_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41477\u2010022\u201001198\u20108"},{"key":"e_1_2_9_30_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41558\u2010021\u201001068\u20109"},{"key":"e_1_2_9_31_1","doi-asserted-by":"publisher","DOI":"10.4287\/jsprs.38.2_25"},{"key":"e_1_2_9_32_1","doi-asserted-by":"publisher","DOI":"10.1038\/nclimate3276"},{"key":"e_1_2_9_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/J.ENVINT.2020.106068"},{"key":"e_1_2_9_34_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0169748"},{"key":"e_1_2_9_35_1","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gky1085"},{"key":"e_1_2_9_36_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41559\u2010021\u201001528\u20107"},{"key":"e_1_2_9_37_1","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkw1092"},{"key":"e_1_2_9_38_1","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/28.1.27"},{"key":"e_1_2_9_39_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature13604"},{"key":"e_1_2_9_40_1","unstructured":"Kohavi R.1995.\u201cA Study of Cross\u2010Validation and Bootstrap for Accuracy Estimation and Model Selection.\u201dhttp:\/\/robotics.stanford.edu\/~ronnyk."},{"key":"e_1_2_9_41_1","doi-asserted-by":"publisher","DOI":"10.1080\/10643389.2021.2024484"},{"key":"e_1_2_9_42_1","doi-asserted-by":"publisher","DOI":"10.1111\/GCB.14859"},{"key":"e_1_2_9_43_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btv033"},{"key":"e_1_2_9_44_1","doi-asserted-by":"publisher","DOI":"10.1111\/GCB.16452"},{"key":"e_1_2_9_45_1","doi-asserted-by":"publisher","DOI":"10.1016\/J.SCITOTENV.2019.134885"},{"key":"e_1_2_9_46_1","doi-asserted-by":"publisher","DOI":"10.1038\/srep25279"},{"key":"e_1_2_9_47_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.abq4062"},{"key":"e_1_2_9_48_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.1189587"},{"key":"e_1_2_9_49_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-90-481-8863-5_12"},{"key":"e_1_2_9_50_1","doi-asserted-by":"publisher","DOI":"10.1073\/PNAS.1601070113"},{"key":"e_1_2_9_51_1","doi-asserted-by":"publisher","DOI":"10.1038\/s43017\u2010024\u201000569\u20103"},{"key":"e_1_2_9_52_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.soilbio.2024.109556"},{"key":"e_1_2_9_53_1","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.4197"},{"key":"e_1_2_9_54_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecolmodel.2008.05.006"},{"key":"e_1_2_9_55_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0304\u20103800(01)00506\u20103"},{"key":"e_1_2_9_56_1","doi-asserted-by":"publisher","DOI":"10.1111\/geb.13770"},{"key":"e_1_2_9_57_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41558\u2010023\u201001868\u20101"},{"key":"e_1_2_9_58_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41558\u2010024\u201002019\u2010w"},{"key":"e_1_2_9_59_1","doi-asserted-by":"publisher","DOI":"10.1111\/GCB.70231"},{"key":"e_1_2_9_60_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature08227"},{"key":"e_1_2_9_61_1","doi-asserted-by":"publisher","DOI":"10.1111\/gcb.14482"},{"key":"e_1_2_9_62_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40659\u2010020\u201000296\u20101"},{"key":"e_1_2_9_63_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41396\u2010021\u201000959\u20101"},{"key":"e_1_2_9_64_1","doi-asserted-by":"publisher","DOI":"10.1146\/ANNUREV\u2010STATISTICS\u2010112723\u2010034249\/CITE\/REFWORKS"},{"key":"e_1_2_9_65_1","doi-asserted-by":"publisher","DOI":"10.1016\/J.CHOM.2026.03.011"},{"key":"e_1_2_9_66_1","doi-asserted-by":"publisher","DOI":"10.1128\/JB.01621\u201007"},{"key":"e_1_2_9_67_1","doi-asserted-by":"publisher","DOI":"10.1371\/JOURNAL.PONE.0092531"}],"container-title":["Global Change Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/gcb.71101","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1111\/gcb.71101","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/gcb.71101","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T06:04:19Z","timestamp":1790402659000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/gcb.71101"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":66,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2026,9]]}},"alternative-id":["10.1111\/gcb.71101"],"URL":"https:\/\/doi.org\/10.1111\/gcb.71101","archive":["Portico"],"relation":{},"ISSN":["1354-1013","1365-2486"],"issn-type":[{"value":"1354-1013","type":"print"},{"value":"1365-2486","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"2026-04-27","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-09-03","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-09-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e71101"}}