%0 Journal Article %T Metabarcoding of soil environmental DNA to estimate plant diversity globally %+ University of Tartu %+ Technische Universität Braunschweig = Technical University of Braunschweig [Braunschweig] %+ Swedish University of Agricultural Sciences (SLU) %+ Universidad Nacional de Córdoba [Argentina] %+ National University of Río Cuarto = Universidad Nacional de Río Cuarto (UNRC) %+ Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN) %+ Centre National de la Recherche Scientifique (CNRS) %+ Estonian University of Life Sciences (EMU) %+ Thompson Rivers University (TRU) %+ Murdoch University %+ Stellenbosch University %+ Institute of Ecology and Earth Sciences [Tartu] %+ Natural History Museum [Oslo] %A Vasar, Martti %A Davison, John %A Moora, Mari %A Sepp, Siim-Kaarel %A Anslan, Sten %A Al-Quraishy, Saleh %A Bahram, Mohammad %A Bueno, C Guillermo %A Cantero, Juan José %A Fabiano, Ezequiel Chimbioputo %A Decocq, Guillaume %A Drenkhan, Rein %A Fraser, Lauchlan %A Oja, Jane %A Garibay-Orijel, Roberto %A Hiiesalu, Inga %A Koorem, Kadri %A Mucina, Ladislav %A Öpik, Maarja %A Põlme, Sergei %A Pärtel, Meelis %A Phosri, Cherdchai %A Semchenko, Marina %A Vahter, Tanel %A Doležal, Jiři %A Palacios, Aida %A Tedersoo, Leho %A Zobel, Martin %A Bueno, C. Guillermo %< avec comité de lecture %@ 1664-462X %J Frontiers in Plant Science %I Frontiers %V 14 %P 1106617 %8 2023-04-18 %D 2023 %R 10.3389/fpls.2023.1106617 %M 37143888 %K TRNL %K distribution %K diversity %K environmental DNA %K molecular methods %K plant %K soil %Z Environmental SciencesJournal articles %X Introduction Traditional approaches to collecting large-scale biodiversity data pose huge logistical and technical challenges. We aimed to assess how a comparatively simple method based on sequencing environmental DNA (eDNA) characterises global variation in plant diversity and community composition compared with data derived from traditional plant inventory methods. Methods We sequenced a short fragment (P6 loop) of the chloroplast trnL intron from from 325 globally distributed soil samples and compared estimates of diversity and composition with those derived from traditional sources based on empirical (GBIF) or extrapolated plant distribution and diversity data. Results Large-scale plant diversity and community composition patterns revealed by sequencing eDNA were broadly in accordance with those derived from traditional sources. The success of the eDNA taxonomy assignment, and the overlap of taxon lists between eDNA and GBIF, was greatest at moderate to high latitudes of the northern hemisphere. On average, around half (mean: 51.5% SD 17.6) of local GBIF records were represented in eDNA databases at the species level, depending on the geographic region. Discussion eDNA trnL gene sequencing data accurately represent global patterns in plant diversity and composition and thus can provide a basis for large-scale vegetation studies. Important experimental considerations for plant eDNA studies include using a sampling volume and design to maximise the number of taxa detected and optimising the sequencing depth. However, increasing the coverage of reference sequence databases would yield the most significant improvements in the accuracy of taxonomic assignments made using the P6 loop of the trnL region. %G English %L hal-04095041 %U https://u-picardie.hal.science/hal-04095041 %~ SDE %~ CNRS %~ UNIV-PICARDIE %~ GIP-BE %~ U-PICARDIE %~ EDYSAN %~ TEST3-HALCNRS %~ TEST4-HALCNRS %~ TEST5-HALCNRS