دورية أكاديمية
أعرض في EDS

The predictive power of phylogeny on growth rates in soil bacterial communities.

التفاصيل البيبلوغرافية
العنوان: The predictive power of phylogeny on growth rates in soil bacterial communities.
المؤلفون: Walkup J; Division of Plant and Soil Sciences, West Virginia University, Morgantown, WV, 26506, USA., Dang C; Division of Plant and Soil Sciences, West Virginia University, Morgantown, WV, 26506, USA., Mau RL; Center for Ecosystem Science and Society (Ecoss), Northern Arizona University, Flagstaff, AZ, 86011, USA., Hayer M; Center for Ecosystem Science and Society (Ecoss), Northern Arizona University, Flagstaff, AZ, 86011, USA., Schwartz E; Center for Ecosystem Science and Society (Ecoss), Northern Arizona University, Flagstaff, AZ, 86011, USA.; Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, 86011, USA., Stone BW; Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, 99354, USA., Hofmockel KS; Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, 99354, USA., Koch BJ; Center for Ecosystem Science and Society (Ecoss), Northern Arizona University, Flagstaff, AZ, 86011, USA.; Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, 86011, USA., Purcell AM; Center for Ecosystem Science and Society (Ecoss), Northern Arizona University, Flagstaff, AZ, 86011, USA.; Department of Biological Sciences, Texas Tech University, Lubbock, TX, 79409, USA., Pett-Ridge J; Lawrence Livermore National Laboratory, Physical and Life Science Directorate, Livermore, CA, USA.; University of California Merced, Life & Environmental Sciences Department, Merced, CA, 95343, USA., Wang C; CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, LN, China., Hungate BA; Center for Ecosystem Science and Society (Ecoss), Northern Arizona University, Flagstaff, AZ, 86011, USA.; Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, 86011, USA., Morrissey EM; Division of Plant and Soil Sciences, West Virginia University, Morgantown, WV, 26506, USA. ember.morrissey@mail.wvu.edu.
المصدر: ISME communications [ISME Commun] 2023 Jul 15; Vol. 3 (1), pp. 73. Date of Electronic Publication: 2023 Jul 15.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Oxford University Press Country of Publication: England NLM ID: 9918205372406676 Publication Model: Electronic Cited Medium: Internet ISSN: 2730-6151 (Electronic) Linking ISSN: 27306151 NLM ISO Abbreviation: ISME Commun Subsets: PubMed not MEDLINE
أسماء مطبوعة: Publication: 3 2024- : Oxford : Oxford University Press
Original Publication: [London] : Springer Nature on behalf of the International Society for Microbial Ecology, [2021]-
مستخلص: Predicting ecosystem function is critical to assess and mitigate the impacts of climate change. Quantitative predictions of microbially mediated ecosystem processes are typically uninformed by microbial biodiversity. Yet new tools allow the measurement of taxon-specific traits within natural microbial communities. There is mounting evidence of a phylogenetic signal in these traits, which may support prediction and microbiome management frameworks. We investigated phylogeny-based trait prediction using bacterial growth rates from soil communities in Arctic, boreal, temperate, and tropical ecosystems. Here we show that phylogeny predicts growth rates of soil bacteria, explaining an average of 31%, and up to 58%, of the variation within ecosystems. Despite limited overlap in community composition across these ecosystems, shared nodes in the phylogeny enabled ancestral trait reconstruction and cross-ecosystem predictions. Phylogenetic relationships could explain up to 38% (averaging 14%) of the variation in growth rates across the highly disparate ecosystems studied. Our results suggest that shared evolutionary history contributes to similarity in the relative growth rates of related bacteria in the wild, allowing phylogeny-based predictions to explain a substantial amount of the variation in taxon-specific functional traits, within and across ecosystems.
(© 2023. The Author(s).)
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معلومات مُعتمدة: DE-SC0020172 U.S. Department of Energy (DOE); DE- SC0016207 U.S. Department of Energy (DOE); DE- SC0016207 U.S. Department of Energy (DOE); DE- SC0016207 U.S. Department of Energy (DOE); DE-SC0020172 U.S. Department of Energy (DOE); DE- SC0016207 U.S. Department of Energy (DOE); SCW1679 U.S. Department of Energy (DOE); SCW1632 U.S. Department of Energy (DOE); 2114570 National Science Foundation (NSF)
تواريخ الأحداث: Date Created: 20230715 Latest Revision: 20231108
رمز التحديث: 20231108
مُعرف محوري في PubMed: PMC10349831
DOI: 10.1038/s43705-023-00281-1
PMID: 37454187
قاعدة البيانات: MEDLINE
الوصف
تدمد:2730-6151
DOI:10.1038/s43705-023-00281-1