Metabarcoding of soil environmental DNA to estimate plant diversity globally

0572140 - BÚ 2024 RIV CH eng J - Journal Article
Vasar, M. - Davison, J. - Moora, M. - Sepp, S. - Anslan, S. - Al-Quraishy, S. - Bahram, M. - Bueno, C. G. - Cantero, J. J. - Fabiano, E. C. - Decocq, G. - Drenkhan, T. - Fraser, L. - Oja, J. - Garibay-Orijel, R. - Hiiesalu, I. - Koorem, K. - Mucina, L. - Öpik, M. - Pölme, S. - Pärtel, M. - Phosri, C. - Semchenko, M. - Vahter, T. - Doležal, Jiří - Vasco-Palacios, A. M. - Tedersoo, L. - Zobel, M.
Metabarcoding of soil environmental DNA to estimate plant diversity globally.
Frontiers in Plant Science. Roč. 14, APR 18 2023 (2023), č. článku 1106617. ISSN 1664-462X. E-ISSN 1664-462X
Institutional support: RVO:67985939
Keywords : Metabarcoding * soil environmental DNA * plant diversity globally
OECD category: Plant sciences, botany
Impact factor: 5.6, year: 2022
Method of publishing: Open access
https://doi.org/10.3389/fpls.2023.1106617

Traditional approaches to collecting large-scale biodiversity data pose huge logistical and technical challenges. We assessed how a comparatively simple method based on sequencing a short fragment (P6 loop) of the chloroplast trnL intron from soil environmental DNA (eDNA) characterises global variation in plant diversity and community composition compared with data derived from traditional plant inventory methods. Large-scale plant diversity and community composition patterns revealed by sequencing eDNA from 325 globally distributed soil samples were broadly in accordance with those derived from sources based on empirical (GBIF) or extrapolated plant distribution and diversity data. 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. 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
Permanent Link: https://hdl.handle.net/11104/0346066