Monitoring the birds and the bees: Environmental DNA metabarcoding of flowers detects plant–animal interactions

Abstract Animal pollinators are vital for the reproduction of ~90% of flowering plants. However, many of these pollinating species are experiencing declines globally, making effective pollinator monitoring methods more important than ever before. Pollinators can leave DNA on the flowers they visit,...
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Autor*in:	Joshua P. Newton [verfasserIn] Philip W. Bateman [verfasserIn] Matthew J. Heydenrych [verfasserIn] Joshua H. Kestel [verfasserIn] Kingsley W. Dixon [verfasserIn] Kit S. Prendergast [verfasserIn] Nicole E. White [verfasserIn] Paul Nevill [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	avian metabarcoding assay insect eDNA plant–animal interactions pollination vertebrate eDNA

Übergeordnetes Werk:	In: Environmental DNA - Wiley, 2019, 5(2023), 3, Seite 488-502
Übergeordnetes Werk:	volume:5 ; year:2023 ; number:3 ; pages:488-502

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1002/edn3.399

Katalog-ID:	DOAJ090549279

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520			\|a Abstract Animal pollinators are vital for the reproduction of ~90% of flowering plants. However, many of these pollinating species are experiencing declines globally, making effective pollinator monitoring methods more important than ever before. Pollinators can leave DNA on the flowers they visit, and metabarcoding of these environmental DNA (eDNA) traces provides an opportunity to detect the presence of flower visitors. Our study, collecting flowers from seven plant species with diverse floral morphologies, for eDNA metabarcoding analysis, illustrated the value of this novel survey tool. eDNA metabarcoding using three assays, including one developed in this study to target common bush birds, recorded more animal species visiting flowers than visual surveys conducted concurrently, including birds, bees, and other species. We also recorded the presence of a flower visit from a western pygmy possum; to our knowledge this is the first eDNA metabarcoding study to simultaneously identify the interaction of insect, mammal, and bird species with flowers. The highest diversity of taxa was detected on large inflorescence flower types found on Banksia arborea and Grevillea georgeana. The study demonstrates that the ease of sample collection and the robustness of the metabarcoding methodology has profound implications for future management of biodiversity, allowing us to monitor both plants and their attendant cohort of potential pollinators. This opens avenues for rapid and efficient comparison of biodiversity and ecosystem health between different sites and may provide insights into surrogate pollinators in the event of pollinator declines.
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spelling	10.1002/edn3.399 doi (DE-627)DOAJ090549279 (DE-599)DOAJbb5ea6e50aeb4daf9eccd5aef4da59b5 DE-627 ger DE-627 rakwb eng GE1-350 QR100-130 Joshua P. Newton verfasserin aut Monitoring the birds and the bees: Environmental DNA metabarcoding of flowers detects plant–animal interactions 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Animal pollinators are vital for the reproduction of ~90% of flowering plants. However, many of these pollinating species are experiencing declines globally, making effective pollinator monitoring methods more important than ever before. Pollinators can leave DNA on the flowers they visit, and metabarcoding of these environmental DNA (eDNA) traces provides an opportunity to detect the presence of flower visitors. Our study, collecting flowers from seven plant species with diverse floral morphologies, for eDNA metabarcoding analysis, illustrated the value of this novel survey tool. eDNA metabarcoding using three assays, including one developed in this study to target common bush birds, recorded more animal species visiting flowers than visual surveys conducted concurrently, including birds, bees, and other species. We also recorded the presence of a flower visit from a western pygmy possum; to our knowledge this is the first eDNA metabarcoding study to simultaneously identify the interaction of insect, mammal, and bird species with flowers. The highest diversity of taxa was detected on large inflorescence flower types found on Banksia arborea and Grevillea georgeana. The study demonstrates that the ease of sample collection and the robustness of the metabarcoding methodology has profound implications for future management of biodiversity, allowing us to monitor both plants and their attendant cohort of potential pollinators. This opens avenues for rapid and efficient comparison of biodiversity and ecosystem health between different sites and may provide insights into surrogate pollinators in the event of pollinator declines. avian metabarcoding assay insect eDNA plant–animal interactions pollination vertebrate eDNA Environmental sciences Microbial ecology Philip W. Bateman verfasserin aut Matthew J. Heydenrych verfasserin aut Joshua H. Kestel verfasserin aut Kingsley W. Dixon verfasserin aut Kit S. Prendergast verfasserin aut Nicole E. White verfasserin aut Paul Nevill verfasserin aut In Environmental DNA Wiley, 2019 5(2023), 3, Seite 488-502 (DE-627)1683467949 (DE-600)3001165-6 26374943 nnns volume:5 year:2023 number:3 pages:488-502 https://doi.org/10.1002/edn3.399 kostenfrei https://doaj.org/article/bb5ea6e50aeb4daf9eccd5aef4da59b5 kostenfrei https://doi.org/10.1002/edn3.399 kostenfrei https://doaj.org/toc/2637-4943 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2023 3 488-502
allfields_unstemmed	10.1002/edn3.399 doi (DE-627)DOAJ090549279 (DE-599)DOAJbb5ea6e50aeb4daf9eccd5aef4da59b5 DE-627 ger DE-627 rakwb eng GE1-350 QR100-130 Joshua P. Newton verfasserin aut Monitoring the birds and the bees: Environmental DNA metabarcoding of flowers detects plant–animal interactions 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Animal pollinators are vital for the reproduction of ~90% of flowering plants. However, many of these pollinating species are experiencing declines globally, making effective pollinator monitoring methods more important than ever before. Pollinators can leave DNA on the flowers they visit, and metabarcoding of these environmental DNA (eDNA) traces provides an opportunity to detect the presence of flower visitors. Our study, collecting flowers from seven plant species with diverse floral morphologies, for eDNA metabarcoding analysis, illustrated the value of this novel survey tool. eDNA metabarcoding using three assays, including one developed in this study to target common bush birds, recorded more animal species visiting flowers than visual surveys conducted concurrently, including birds, bees, and other species. We also recorded the presence of a flower visit from a western pygmy possum; to our knowledge this is the first eDNA metabarcoding study to simultaneously identify the interaction of insect, mammal, and bird species with flowers. The highest diversity of taxa was detected on large inflorescence flower types found on Banksia arborea and Grevillea georgeana. The study demonstrates that the ease of sample collection and the robustness of the metabarcoding methodology has profound implications for future management of biodiversity, allowing us to monitor both plants and their attendant cohort of potential pollinators. This opens avenues for rapid and efficient comparison of biodiversity and ecosystem health between different sites and may provide insights into surrogate pollinators in the event of pollinator declines. avian metabarcoding assay insect eDNA plant–animal interactions pollination vertebrate eDNA Environmental sciences Microbial ecology Philip W. Bateman verfasserin aut Matthew J. Heydenrych verfasserin aut Joshua H. Kestel verfasserin aut Kingsley W. Dixon verfasserin aut Kit S. Prendergast verfasserin aut Nicole E. White verfasserin aut Paul Nevill verfasserin aut In Environmental DNA Wiley, 2019 5(2023), 3, Seite 488-502 (DE-627)1683467949 (DE-600)3001165-6 26374943 nnns volume:5 year:2023 number:3 pages:488-502 https://doi.org/10.1002/edn3.399 kostenfrei https://doaj.org/article/bb5ea6e50aeb4daf9eccd5aef4da59b5 kostenfrei https://doi.org/10.1002/edn3.399 kostenfrei https://doaj.org/toc/2637-4943 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2023 3 488-502
allfieldsGer	10.1002/edn3.399 doi (DE-627)DOAJ090549279 (DE-599)DOAJbb5ea6e50aeb4daf9eccd5aef4da59b5 DE-627 ger DE-627 rakwb eng GE1-350 QR100-130 Joshua P. Newton verfasserin aut Monitoring the birds and the bees: Environmental DNA metabarcoding of flowers detects plant–animal interactions 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Animal pollinators are vital for the reproduction of ~90% of flowering plants. However, many of these pollinating species are experiencing declines globally, making effective pollinator monitoring methods more important than ever before. Pollinators can leave DNA on the flowers they visit, and metabarcoding of these environmental DNA (eDNA) traces provides an opportunity to detect the presence of flower visitors. Our study, collecting flowers from seven plant species with diverse floral morphologies, for eDNA metabarcoding analysis, illustrated the value of this novel survey tool. eDNA metabarcoding using three assays, including one developed in this study to target common bush birds, recorded more animal species visiting flowers than visual surveys conducted concurrently, including birds, bees, and other species. We also recorded the presence of a flower visit from a western pygmy possum; to our knowledge this is the first eDNA metabarcoding study to simultaneously identify the interaction of insect, mammal, and bird species with flowers. The highest diversity of taxa was detected on large inflorescence flower types found on Banksia arborea and Grevillea georgeana. The study demonstrates that the ease of sample collection and the robustness of the metabarcoding methodology has profound implications for future management of biodiversity, allowing us to monitor both plants and their attendant cohort of potential pollinators. This opens avenues for rapid and efficient comparison of biodiversity and ecosystem health between different sites and may provide insights into surrogate pollinators in the event of pollinator declines. avian metabarcoding assay insect eDNA plant–animal interactions pollination vertebrate eDNA Environmental sciences Microbial ecology Philip W. Bateman verfasserin aut Matthew J. Heydenrych verfasserin aut Joshua H. Kestel verfasserin aut Kingsley W. Dixon verfasserin aut Kit S. Prendergast verfasserin aut Nicole E. White verfasserin aut Paul Nevill verfasserin aut In Environmental DNA Wiley, 2019 5(2023), 3, Seite 488-502 (DE-627)1683467949 (DE-600)3001165-6 26374943 nnns volume:5 year:2023 number:3 pages:488-502 https://doi.org/10.1002/edn3.399 kostenfrei https://doaj.org/article/bb5ea6e50aeb4daf9eccd5aef4da59b5 kostenfrei https://doi.org/10.1002/edn3.399 kostenfrei https://doaj.org/toc/2637-4943 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2023 3 488-502
allfieldsSound	10.1002/edn3.399 doi (DE-627)DOAJ090549279 (DE-599)DOAJbb5ea6e50aeb4daf9eccd5aef4da59b5 DE-627 ger DE-627 rakwb eng GE1-350 QR100-130 Joshua P. Newton verfasserin aut Monitoring the birds and the bees: Environmental DNA metabarcoding of flowers detects plant–animal interactions 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Animal pollinators are vital for the reproduction of ~90% of flowering plants. However, many of these pollinating species are experiencing declines globally, making effective pollinator monitoring methods more important than ever before. Pollinators can leave DNA on the flowers they visit, and metabarcoding of these environmental DNA (eDNA) traces provides an opportunity to detect the presence of flower visitors. Our study, collecting flowers from seven plant species with diverse floral morphologies, for eDNA metabarcoding analysis, illustrated the value of this novel survey tool. eDNA metabarcoding using three assays, including one developed in this study to target common bush birds, recorded more animal species visiting flowers than visual surveys conducted concurrently, including birds, bees, and other species. We also recorded the presence of a flower visit from a western pygmy possum; to our knowledge this is the first eDNA metabarcoding study to simultaneously identify the interaction of insect, mammal, and bird species with flowers. The highest diversity of taxa was detected on large inflorescence flower types found on Banksia arborea and Grevillea georgeana. The study demonstrates that the ease of sample collection and the robustness of the metabarcoding methodology has profound implications for future management of biodiversity, allowing us to monitor both plants and their attendant cohort of potential pollinators. This opens avenues for rapid and efficient comparison of biodiversity and ecosystem health between different sites and may provide insights into surrogate pollinators in the event of pollinator declines. avian metabarcoding assay insect eDNA plant–animal interactions pollination vertebrate eDNA Environmental sciences Microbial ecology Philip W. Bateman verfasserin aut Matthew J. Heydenrych verfasserin aut Joshua H. Kestel verfasserin aut Kingsley W. Dixon verfasserin aut Kit S. Prendergast verfasserin aut Nicole E. White verfasserin aut Paul Nevill verfasserin aut In Environmental DNA Wiley, 2019 5(2023), 3, Seite 488-502 (DE-627)1683467949 (DE-600)3001165-6 26374943 nnns volume:5 year:2023 number:3 pages:488-502 https://doi.org/10.1002/edn3.399 kostenfrei https://doaj.org/article/bb5ea6e50aeb4daf9eccd5aef4da59b5 kostenfrei https://doi.org/10.1002/edn3.399 kostenfrei https://doaj.org/toc/2637-4943 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2023 3 488-502
language	English
source	In Environmental DNA 5(2023), 3, Seite 488-502 volume:5 year:2023 number:3 pages:488-502
sourceStr	In Environmental DNA 5(2023), 3, Seite 488-502 volume:5 year:2023 number:3 pages:488-502
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	avian metabarcoding assay insect eDNA plant–animal interactions pollination vertebrate eDNA Environmental sciences Microbial ecology
isfreeaccess_bool	true
container_title	Environmental DNA
authorswithroles_txt_mv	Joshua P. Newton @@aut@@ Philip W. Bateman @@aut@@ Matthew J. Heydenrych @@aut@@ Joshua H. Kestel @@aut@@ Kingsley W. Dixon @@aut@@ Kit S. Prendergast @@aut@@ Nicole E. White @@aut@@ Paul Nevill @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	1683467949
id	DOAJ090549279
language_de	englisch
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callnumber-first	G - Geography, Anthropology, Recreation
author	Joshua P. Newton
spellingShingle	Joshua P. Newton misc GE1-350 misc QR100-130 misc avian metabarcoding assay misc insect eDNA misc plant–animal interactions misc pollination misc vertebrate eDNA misc Environmental sciences misc Microbial ecology Monitoring the birds and the bees: Environmental DNA metabarcoding of flowers detects plant–animal interactions
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topic_title	GE1-350 QR100-130 Monitoring the birds and the bees: Environmental DNA metabarcoding of flowers detects plant–animal interactions avian metabarcoding assay insect eDNA plant–animal interactions pollination vertebrate eDNA
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title	Monitoring the birds and the bees: Environmental DNA metabarcoding of flowers detects plant–animal interactions
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title_full	Monitoring the birds and the bees: Environmental DNA metabarcoding of flowers detects plant–animal interactions
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title_sort	monitoring the birds and the bees: environmental dna metabarcoding of flowers detects plant–animal interactions
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title_auth	Monitoring the birds and the bees: Environmental DNA metabarcoding of flowers detects plant–animal interactions
abstract	Abstract Animal pollinators are vital for the reproduction of ~90% of flowering plants. However, many of these pollinating species are experiencing declines globally, making effective pollinator monitoring methods more important than ever before. Pollinators can leave DNA on the flowers they visit, and metabarcoding of these environmental DNA (eDNA) traces provides an opportunity to detect the presence of flower visitors. Our study, collecting flowers from seven plant species with diverse floral morphologies, for eDNA metabarcoding analysis, illustrated the value of this novel survey tool. eDNA metabarcoding using three assays, including one developed in this study to target common bush birds, recorded more animal species visiting flowers than visual surveys conducted concurrently, including birds, bees, and other species. We also recorded the presence of a flower visit from a western pygmy possum; to our knowledge this is the first eDNA metabarcoding study to simultaneously identify the interaction of insect, mammal, and bird species with flowers. The highest diversity of taxa was detected on large inflorescence flower types found on Banksia arborea and Grevillea georgeana. The study demonstrates that the ease of sample collection and the robustness of the metabarcoding methodology has profound implications for future management of biodiversity, allowing us to monitor both plants and their attendant cohort of potential pollinators. This opens avenues for rapid and efficient comparison of biodiversity and ecosystem health between different sites and may provide insights into surrogate pollinators in the event of pollinator declines.
abstractGer	Abstract Animal pollinators are vital for the reproduction of ~90% of flowering plants. However, many of these pollinating species are experiencing declines globally, making effective pollinator monitoring methods more important than ever before. Pollinators can leave DNA on the flowers they visit, and metabarcoding of these environmental DNA (eDNA) traces provides an opportunity to detect the presence of flower visitors. Our study, collecting flowers from seven plant species with diverse floral morphologies, for eDNA metabarcoding analysis, illustrated the value of this novel survey tool. eDNA metabarcoding using three assays, including one developed in this study to target common bush birds, recorded more animal species visiting flowers than visual surveys conducted concurrently, including birds, bees, and other species. We also recorded the presence of a flower visit from a western pygmy possum; to our knowledge this is the first eDNA metabarcoding study to simultaneously identify the interaction of insect, mammal, and bird species with flowers. The highest diversity of taxa was detected on large inflorescence flower types found on Banksia arborea and Grevillea georgeana. The study demonstrates that the ease of sample collection and the robustness of the metabarcoding methodology has profound implications for future management of biodiversity, allowing us to monitor both plants and their attendant cohort of potential pollinators. This opens avenues for rapid and efficient comparison of biodiversity and ecosystem health between different sites and may provide insights into surrogate pollinators in the event of pollinator declines.
abstract_unstemmed	Abstract Animal pollinators are vital for the reproduction of ~90% of flowering plants. However, many of these pollinating species are experiencing declines globally, making effective pollinator monitoring methods more important than ever before. Pollinators can leave DNA on the flowers they visit, and metabarcoding of these environmental DNA (eDNA) traces provides an opportunity to detect the presence of flower visitors. Our study, collecting flowers from seven plant species with diverse floral morphologies, for eDNA metabarcoding analysis, illustrated the value of this novel survey tool. eDNA metabarcoding using three assays, including one developed in this study to target common bush birds, recorded more animal species visiting flowers than visual surveys conducted concurrently, including birds, bees, and other species. We also recorded the presence of a flower visit from a western pygmy possum; to our knowledge this is the first eDNA metabarcoding study to simultaneously identify the interaction of insect, mammal, and bird species with flowers. The highest diversity of taxa was detected on large inflorescence flower types found on Banksia arborea and Grevillea georgeana. The study demonstrates that the ease of sample collection and the robustness of the metabarcoding methodology has profound implications for future management of biodiversity, allowing us to monitor both plants and their attendant cohort of potential pollinators. This opens avenues for rapid and efficient comparison of biodiversity and ecosystem health between different sites and may provide insights into surrogate pollinators in the event of pollinator declines.
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title_short	Monitoring the birds and the bees: Environmental DNA metabarcoding of flowers detects plant–animal interactions
url	https://doi.org/10.1002/edn3.399 https://doaj.org/article/bb5ea6e50aeb4daf9eccd5aef4da59b5 https://doaj.org/toc/2637-4943
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Monitoring the birds and the bees: Environmental DNA metabarcoding of flowers detects plant–animal interactions

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