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...
Published in: | Metabarcoding and Metagenomics |
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Online Access: | https://doi.org/10.3897/mbmg.7.99979 https://mbmg.pensoft.net/article/99979/ |
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ftpensoft:10.3897/mbmg.7.99979 2023-09-05T13:17:16+02:00 Ecological signals of arctic plant-microbe associations are consistent across eDNA and vegetation surveys Parisy,Bastien Schmidt,Niels Martin Wirta,Helena Stewart,Laerke Pellissier,Loic Holben,Bill Pannoni,Sam Somervuo,Panu Jones,Mirkka Siren,Jukka Vesterinen,Eero Ovaskainen,Otso Roslin,Tomas 2023 text/html https://doi.org/10.3897/mbmg.7.99979 https://mbmg.pensoft.net/article/99979/ en eng Pensoft Publishers info:eu-repo/semantics/altIdentifier/eissn/2534-9708 info:eu-repo/semantics/openAccess CC BY 4.0 Metabarcoding and Metagenomics 7: e99979 eDNA metabarcoding environmental gradients Greenland joint species distribution model observational data plant-soil microbe associations vegetation assessment Research Article 2023 ftpensoft https://doi.org/10.3897/mbmg.7.99979 2023-08-15T00:05:31Z 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 Pensoft Publishers Arctic Greenland Metabarcoding and Metagenomics 7 |
institution |
Open Polar |
collection |
Pensoft Publishers |
op_collection_id |
ftpensoft |
language |
English |
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 Martin Wirta,Helena Stewart,Laerke Pellissier,Loic Holben,Bill Pannoni,Sam Somervuo,Panu Jones,Mirkka 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 Martin Wirta,Helena Stewart,Laerke Pellissier,Loic Holben,Bill Pannoni,Sam Somervuo,Panu Jones,Mirkka Siren,Jukka Vesterinen,Eero Ovaskainen,Otso Roslin,Tomas |
author_facet |
Parisy,Bastien Schmidt,Niels Martin Wirta,Helena Stewart,Laerke Pellissier,Loic Holben,Bill Pannoni,Sam Somervuo,Panu Jones,Mirkka 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 https://mbmg.pensoft.net/article/99979/ |
geographic |
Arctic Greenland |
geographic_facet |
Arctic Greenland |
genre |
Arctic Greenland Zackenberg |
genre_facet |
Arctic Greenland Zackenberg |
op_source |
Metabarcoding and Metagenomics 7: e99979 |
op_relation |
info:eu-repo/semantics/altIdentifier/eissn/2534-9708 |
op_rights |
info:eu-repo/semantics/openAccess CC BY 4.0 |
op_doi |
https://doi.org/10.3897/mbmg.7.99979 |
container_title |
Metabarcoding and Metagenomics |
container_volume |
7 |
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1776198504665841664 |