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Molecular ecology
12, 2023;32 (23): 6377-6393.

Pollen DNA metabarcoding reveals cryptic diversity and high spatial turnover in alpine plant-pollinator networks.

Francisco Encinas-Viso, Jessica Bovill, David E Albrecht, Jaime Florez-Fernandez, Bryan Lessard, James Lumbers, Juanita Rodriguez, Alexander Schmidt-Lebuhn, Andreas Zwick, Liz Milla
Author Information
  1. Francisco Encinas-Viso: Centre for Australian National Biodiversity Research, Australian Capital Territory, Canberra, Australia. ORCID
  2. Jessica Bovill: Centre for Australian National Biodiversity Research, Australian Capital Territory, Canberra, Australia.
  3. David E Albrecht: Centre for Australian National Biodiversity Research, Australian Capital Territory, Canberra, Australia.
  4. Jaime Florez-Fernandez: Australian National Insect Collection, Australian Capital Territory, Canberra, Australia.
  5. Bryan Lessard: Australian National Insect Collection, Australian Capital Territory, Canberra, Australia.
  6. James Lumbers: Australian National Insect Collection, Australian Capital Territory, Canberra, Australia.
  7. Juanita Rodriguez: Australian National Insect Collection, Australian Capital Territory, Canberra, Australia. ORCID
  8. Alexander Schmidt-Lebuhn: Centre for Australian National Biodiversity Research, Australian Capital Territory, Canberra, Australia.
  9. Andreas Zwick: Australian National Insect Collection, Australian Capital Territory, Canberra, Australia.
  10. Liz Milla: Centre for Australian National Biodiversity Research, Australian Capital Territory, Canberra, Australia. ORCID
PMID: 36065738 DOI: 10.1111/mec.16682

Abstract

Alpine plant-pollinator communities play an important role in the functioning of alpine ecosystems, which are highly threatened by climate change. However, we still have a poor understanding of how environmental factors and spatiotemporal variability shape these communities. Here, we investigate what drives structure and beta diversity in a plant-pollinator metacommunity from the Australian alpine region using two approaches: pollen DNA metabarcoding (MB) and observations. Individual pollinators often carry pollen from multiple plant species, and therefore we expected MB to reveal a more diverse and complex network structure. We used two gene regions (ITS2 and trnL) to identify plant species present in the pollen loads of 154 insect pollinator specimens from three alpine habitats and construct MB networks, and compared them to networks based on observations alone. We compared species and interaction turnover across space for both types of networks, and evaluated their differences for plant phylogenetic diversity and beta diversity. We found significant structural differences between the two types of networks; notably, MB networks were much less specialized but more diverse than observation networks, with MB detecting many cryptic plant species. Both approaches revealed that alpine pollination networks are very generalized, but we estimated a high spatial turnover of plant species (0.79) and interaction rewiring (0.6) as well as high plant phylogenetic diversity (0.68) driven by habitat differences based on the larger diversity of plant species and species interactions detected with MB. Overall, our findings show that habitat and microclimatic heterogeneity drives diversity and fine-scale spatial turnover of alpine plant-pollinator networks.

Keywords

Australia DNA metabarcoding ITS2 alpine beta diversity flower-visitor observations flower-visitorrewiring pollen pollination networks

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MeSH Term

Animals
Ecosystem
DNA Barcoding, Taxonomic
Phylogeny
Australia
Pollen
Plants
Pollination
Flowers
Insecta
Journal Article Research Support, Non-U.S. Gov't

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