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AusAMF: The Database of Arbuscular Mycorrhizal Fungal Communities in Australia.

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Title: AusAMF: The Database of Arbuscular Mycorrhizal Fungal Communities in Australia.
Authors: Frew, Adam1,2,3 (AUTHOR) a.frew@westernsydney.edu.au, Powell, Jeff R.1 (AUTHOR), Heuck, Meike K.1 (AUTHOR), Albornoz, Felipe E.4,5,6 (AUTHOR), Birnbaum, Christina2,7,8 (AUTHOR), Dearnaley, John D. W.2,7 (AUTHOR), Egidi, Eleonora1 (AUTHOR), Finn, Luke9 (AUTHOR), Kath, Jarrod7,8 (AUTHOR), Koorem, Kadri10 (AUTHOR), Oja, Jane10 (AUTHOR), Öpik, Maarja10 (AUTHOR), Vahter, Tanel10 (AUTHOR), Vasar, Martti10 (AUTHOR), Watts‐Williams, Stephanie11 (AUTHOR), Zheng, Yuxiong1,12,13 (AUTHOR), Aguilar‐Trigueros, Carlos A.1,3 (AUTHOR)
Source: Global Ecology & Biogeography. Jul2025, Vol. 34 Issue 7, p1-11. 11p.
Subjects: Vesicular-arbuscular mycorrhizas, Biodiversity, Carbon in soils, Ecosystem dynamics, Geospatial data, Ecological resilience, Databases
Geographic Terms: Australia
Abstract: Motivation: Arbuscular mycorrhizal (AM) fungi are central to plant nutrient acquisition, soil carbon dynamics, and ecosystem resilience. Yet, their biogeography remains incompletely characterised, particularly across underrepresented regions. Australia, with its characteristic ecological conditions, continental scale, and long‐standing evolutionary trajectories, has been notably undersampled. This gap hinders our ability to make comprehensive inferences about AM fungal diversity, community composition, and ecological roles at global scales. The AusAMF database was created to address this deficiency by compiling high‐throughput AM fungal community data across mainland Australia and Tasmania. The initial release comprises data from 610 georeferenced sites sampled between 2011 and 2023, covering all major climate zones and accompanied by standardised soil storage, DNA extraction, and sequencing procedures. Developed through a nationally coordinated effort, AusAMF offers a rare level of methodological consistency, enabling robust spatial and temporal comparisons while minimising post‐sampling technical biases. Its design as a purpose‐built, extensible platform ensures continued expansion using harmonised protocols—something not achieved through compiled datasets assembled retrospectively from disparate studies. Each sample is linked to associated environmental variables, allowing users to explore ecological drivers of AM fungal distributions, assess patterns of biodiversity, and support applications spanning from fundamental ecology to conservation planning. As such, AusAMF advances both regional and global efforts to characterise the diversity and ecological significance of these foundational plant symbionts. Main Types of Variables Contained: Georeferenced occurrence and abundance of high‐throughput amplicon sequences of arbuscular mycorrhizal fungi. Spatial Location and Grain: Australia. Decimal degrees between 0.0001 and 0.1 resolution. Time Period and Grain: 2011–2023. Month and year of sampling. Major Taxa and Level of Measurement: Arbuscular mycorrhizal fungi identified to family, genus, and virtual taxon (VT). Geographic occurrence and amplicon sequence abundance. Software Format: Interact with processed data via online application (https://www.ausamf.com). Dataset available as.csv files and raw sequencing data as.fastq files. [ABSTRACT FROM AUTHOR]
Copyright of Global Ecology & Biogeography is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: AusAMF: The Database of Arbuscular Mycorrhizal Fungal Communities in Australia.
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  Data: <searchLink fieldCode="AR" term="%22Frew%2C+Adam%22">Frew, Adam</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> a.frew@westernsydney.edu.au</i><br /><searchLink fieldCode="AR" term="%22Powell%2C+Jeff+R%2E%22">Powell, Jeff R.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Heuck%2C+Meike+K%2E%22">Heuck, Meike K.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Albornoz%2C+Felipe+E%2E%22">Albornoz, Felipe E.</searchLink><relatesTo>4,5,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Birnbaum%2C+Christina%22">Birnbaum, Christina</searchLink><relatesTo>2,7,8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dearnaley%2C+John+D%2E+W%2E%22">Dearnaley, John D. W.</searchLink><relatesTo>2,7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Egidi%2C+Eleonora%22">Egidi, Eleonora</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Finn%2C+Luke%22">Finn, Luke</searchLink><relatesTo>9</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kath%2C+Jarrod%22">Kath, Jarrod</searchLink><relatesTo>7,8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Koorem%2C+Kadri%22">Koorem, Kadri</searchLink><relatesTo>10</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Oja%2C+Jane%22">Oja, Jane</searchLink><relatesTo>10</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Öpik%2C+Maarja%22">Öpik, Maarja</searchLink><relatesTo>10</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vahter%2C+Tanel%22">Vahter, Tanel</searchLink><relatesTo>10</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vasar%2C+Martti%22">Vasar, Martti</searchLink><relatesTo>10</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Watts‐Williams%2C+Stephanie%22">Watts‐Williams, Stephanie</searchLink><relatesTo>11</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zheng%2C+Yuxiong%22">Zheng, Yuxiong</searchLink><relatesTo>1,12,13</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Aguilar‐Trigueros%2C+Carlos+A%2E%22">Aguilar‐Trigueros, Carlos A.</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Global+Ecology+%26+Biogeography%22">Global Ecology & Biogeography</searchLink>. Jul2025, Vol. 34 Issue 7, p1-11. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Australia%22">Australia</searchLink>
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  Data: Motivation: Arbuscular mycorrhizal (AM) fungi are central to plant nutrient acquisition, soil carbon dynamics, and ecosystem resilience. Yet, their biogeography remains incompletely characterised, particularly across underrepresented regions. Australia, with its characteristic ecological conditions, continental scale, and long‐standing evolutionary trajectories, has been notably undersampled. This gap hinders our ability to make comprehensive inferences about AM fungal diversity, community composition, and ecological roles at global scales. The AusAMF database was created to address this deficiency by compiling high‐throughput AM fungal community data across mainland Australia and Tasmania. The initial release comprises data from 610 georeferenced sites sampled between 2011 and 2023, covering all major climate zones and accompanied by standardised soil storage, DNA extraction, and sequencing procedures. Developed through a nationally coordinated effort, AusAMF offers a rare level of methodological consistency, enabling robust spatial and temporal comparisons while minimising post‐sampling technical biases. Its design as a purpose‐built, extensible platform ensures continued expansion using harmonised protocols—something not achieved through compiled datasets assembled retrospectively from disparate studies. Each sample is linked to associated environmental variables, allowing users to explore ecological drivers of AM fungal distributions, assess patterns of biodiversity, and support applications spanning from fundamental ecology to conservation planning. As such, AusAMF advances both regional and global efforts to characterise the diversity and ecological significance of these foundational plant symbionts. Main Types of Variables Contained: Georeferenced occurrence and abundance of high‐throughput amplicon sequences of arbuscular mycorrhizal fungi. Spatial Location and Grain: Australia. Decimal degrees between 0.0001 and 0.1 resolution. Time Period and Grain: 2011–2023. Month and year of sampling. Major Taxa and Level of Measurement: Arbuscular mycorrhizal fungi identified to family, genus, and virtual taxon (VT). Geographic occurrence and amplicon sequence abundance. Software Format: Interact with processed data via online application (https://www.ausamf.com). Dataset available as.csv files and raw sequencing data as.fastq files. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Global Ecology & Biogeography is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/geb.70090
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      – Code: eng
        Text: English
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        PageCount: 11
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    Subjects:
      – SubjectFull: Vesicular-arbuscular mycorrhizas
        Type: general
      – SubjectFull: Biodiversity
        Type: general
      – SubjectFull: Carbon in soils
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      – SubjectFull: Ecosystem dynamics
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      – SubjectFull: Geospatial data
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      – SubjectFull: Ecological resilience
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      – SubjectFull: Databases
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      – SubjectFull: Australia
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