Ecological signals of arctic plant-microbe associations are consistent across eDNA and vegetation surveys
Understanding how different taxa respond to abiotic characteristics of the environment is of key interest for understanding the assembly of communities. Yet, whether eDNA data will suffice to accurately capture environmental imprints has been the topic of some debate. In this study, we characterised...
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ftzenodo:oai:zenodo.org:8238191 2024-09-09T19:24:08+00:00 Ecological signals of arctic plant-microbe associations are consistent across eDNA and vegetation surveys Parisy, Bastien Schmidt, Niels M. Wirta, Helena Stewart, Laerke Pellissier, Loic Holben, William E. Pannoni, Sam Somervuo, Panu Jones, Mirkka M. Siren, Jukka Vesterinen, Eero Ovaskainen, Otso Roslin, Tomas 2023-08-09 https://doi.org/10.3897/mbmg.7.99979 unknown Pensoft Publishers https://doi.org/10.3897/mbmg.7.99979.suppl1 https://doi.org/10.3897/mbmg.7.99979.suppl2 https://zenodo.org/communities/biosyslit https://doi.org/10.3897/mbmg.7.99979 oai:zenodo.org:8238191 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode Metabarcoding and Metagenomics, 7, e99979, (2023-08-09) eDNA metabarcoding environmental gradients Greenland joint species distribution model observational data plant-soil microbe associations vegetation assessment info:eu-repo/semantics/article 2023 ftzenodo https://doi.org/10.3897/mbmg.7.9997910.3897/mbmg.7.99979.suppl110.3897/mbmg.7.99979.suppl2 2024-07-26T22:16:54Z Understanding how different taxa respond to abiotic characteristics of the environment is of key interest for understanding the assembly of communities. Yet, whether eDNA data will suffice to accurately capture environmental imprints has been the topic of some debate. In this study, we characterised patterns of species occurrences and co-occurrences in Zackenberg in northeast Greenland using environmental DNA. To explore the potential for extracting ecological signals from eDNA data alone, we compared two approaches (visual vegetation surveys and soil eDNA metabarcoding) to describing plant communities and their responses to abiotic conditions. We then examined plant associations with microbes using a joint species distribution model. We found that most (68%) of plant genera were detectable by both vegetation surveys and eDNA signatures. Species-specific occurrence data revealed how plants, bacteria and fungi responded to their abiotic environment – with plants, bacteria and fungi all responding similarly to soil moisture. Nonetheless, a large proportion of fungi decreased in occurrences with increasing soil temperature. Regarding biotic associations, the nature and proportion of the plant-microbe associations detected were consistent between plant data identified via vegetation surveys and eDNA. Of pairs of plants and microbe genera showing statistically supported associations (while accounting for joint responses to the environment), plants and bacteria mainly showed negative associations, whereas plants and fungi mainly showed positive associations. Ample ecological signals detected by both vegetation surveys and by eDNA-based methods and a general correspondence in biotic associations inferred by both methods, suggested that purely eDNA-based approaches constitute a promising and easily applicable tool for studying plant-soil microbial associations in the Arctic and elsewhere. Article in Journal/Newspaper Arctic Greenland Zackenberg Zenodo Arctic Greenland |
institution |
Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
unknown |
topic |
eDNA metabarcoding environmental gradients Greenland joint species distribution model observational data plant-soil microbe associations vegetation assessment |
spellingShingle |
eDNA metabarcoding environmental gradients Greenland joint species distribution model observational data plant-soil microbe associations vegetation assessment Parisy, Bastien Schmidt, Niels M. Wirta, Helena Stewart, Laerke Pellissier, Loic Holben, William E. Pannoni, Sam Somervuo, Panu Jones, Mirkka M. Siren, Jukka Vesterinen, Eero Ovaskainen, Otso Roslin, Tomas Ecological signals of arctic plant-microbe associations are consistent across eDNA and vegetation surveys |
topic_facet |
eDNA metabarcoding environmental gradients Greenland joint species distribution model observational data plant-soil microbe associations vegetation assessment |
description |
Understanding how different taxa respond to abiotic characteristics of the environment is of key interest for understanding the assembly of communities. Yet, whether eDNA data will suffice to accurately capture environmental imprints has been the topic of some debate. In this study, we characterised patterns of species occurrences and co-occurrences in Zackenberg in northeast Greenland using environmental DNA. To explore the potential for extracting ecological signals from eDNA data alone, we compared two approaches (visual vegetation surveys and soil eDNA metabarcoding) to describing plant communities and their responses to abiotic conditions. We then examined plant associations with microbes using a joint species distribution model. We found that most (68%) of plant genera were detectable by both vegetation surveys and eDNA signatures. Species-specific occurrence data revealed how plants, bacteria and fungi responded to their abiotic environment – with plants, bacteria and fungi all responding similarly to soil moisture. Nonetheless, a large proportion of fungi decreased in occurrences with increasing soil temperature. Regarding biotic associations, the nature and proportion of the plant-microbe associations detected were consistent between plant data identified via vegetation surveys and eDNA. Of pairs of plants and microbe genera showing statistically supported associations (while accounting for joint responses to the environment), plants and bacteria mainly showed negative associations, whereas plants and fungi mainly showed positive associations. Ample ecological signals detected by both vegetation surveys and by eDNA-based methods and a general correspondence in biotic associations inferred by both methods, suggested that purely eDNA-based approaches constitute a promising and easily applicable tool for studying plant-soil microbial associations in the Arctic and elsewhere. |
format |
Article in Journal/Newspaper |
author |
Parisy, Bastien Schmidt, Niels M. Wirta, Helena Stewart, Laerke Pellissier, Loic Holben, William E. Pannoni, Sam Somervuo, Panu Jones, Mirkka M. Siren, Jukka Vesterinen, Eero Ovaskainen, Otso Roslin, Tomas |
author_facet |
Parisy, Bastien Schmidt, Niels M. Wirta, Helena Stewart, Laerke Pellissier, Loic Holben, William E. Pannoni, Sam Somervuo, Panu Jones, Mirkka M. Siren, Jukka Vesterinen, Eero Ovaskainen, Otso Roslin, Tomas |
author_sort |
Parisy, Bastien |
title |
Ecological signals of arctic plant-microbe associations are consistent across eDNA and vegetation surveys |
title_short |
Ecological signals of arctic plant-microbe associations are consistent across eDNA and vegetation surveys |
title_full |
Ecological signals of arctic plant-microbe associations are consistent across eDNA and vegetation surveys |
title_fullStr |
Ecological signals of arctic plant-microbe associations are consistent across eDNA and vegetation surveys |
title_full_unstemmed |
Ecological signals of arctic plant-microbe associations are consistent across eDNA and vegetation surveys |
title_sort |
ecological signals of arctic plant-microbe associations are consistent across edna and vegetation surveys |
publisher |
Pensoft Publishers |
publishDate |
2023 |
url |
https://doi.org/10.3897/mbmg.7.99979 |
geographic |
Arctic Greenland |
geographic_facet |
Arctic Greenland |
genre |
Arctic Greenland Zackenberg |
genre_facet |
Arctic Greenland Zackenberg |
op_source |
Metabarcoding and Metagenomics, 7, e99979, (2023-08-09) |
op_relation |
https://doi.org/10.3897/mbmg.7.99979.suppl1 https://doi.org/10.3897/mbmg.7.99979.suppl2 https://zenodo.org/communities/biosyslit https://doi.org/10.3897/mbmg.7.99979 oai:zenodo.org:8238191 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.3897/mbmg.7.9997910.3897/mbmg.7.99979.suppl110.3897/mbmg.7.99979.suppl2 |
_version_ |
1809894071921016832 |