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Applications in Plant Sciences
Article . 2019 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Applications in Plant Sciences
Article
License: CC BY
Data sources: UnpayWall
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PubMed Central
Other literature type . 2019
Data sources: PubMed Central
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Utilizing herbarium specimens to quantify historical mycorrhizal communities

Authors: J. Mason Heberling; David J. Burke;

Utilizing herbarium specimens to quantify historical mycorrhizal communities

Abstract

Premise of the StudyMycorrhiza are critical to ecosystem functioning, but a lack of historical baseline data limits our understanding of the long‐term belowground effects of global change. Herbarium specimens may provide this needed insight. However, it is unknown whether DNA of arbuscular mycorrhizal fungi (AMF) can be reliably extracted from vascular plant specimen roots.MethodsWe sampled roots from herbarium specimens of four herbaceous forest species collected in western Pennsylvania between 1881–2008. Using molecular methods (terminal restriction fragment length polymorphism and sequence analysis), we quantified AMF communities from specimen roots and tested for contamination.ResultsWe successfully amplified AMF DNA from 44% (21/48) of the root but not leaf samples, indicating specimen contamination was negligible. As expected, there were significant differences in AMF composition between plant species (P < 0.05). However, no differences in AMF communities were detected through time, possibly due to limited sample size and low amplification rates in recent collections.DiscussionHerbaria have potential as sources of valuable belowground microbial data to answer questions across geographic, temporal, and taxonomic scales otherwise not feasible. Ongoing methodological developments will only magnify this potential. Further tests are needed to determine curatorial practices that maximize this innovative use of herbarium specimens.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Top 10%
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