Literature DB >> 27901268

Forecasting pollination declines through DNA barcoding: the potential contributions of macroecological and macroevolutionary scales of inquiry.

Jana C Vamosi1, Yan-Bing Gong2, Sarah J Adamowicz3, Laurence Packer4.   

Abstract

While pollinators are widely acknowledged as important contributors to seed production in plant communities, we do not yet have a good understanding of the importance of pollinator specialists for this ecosystem service. Determination of the prevalence of pollinator specialists is often hindered by the occurrence of cryptic species and the limitations of observational data on pollinator visitation rates, two areas where DNA barcoding of pollinators and pollen can be useful. Further, the demonstrated adequacy of pollen DNA barcoding from historical records offers opportunities to observe the effects of pollinator loss over longer timescales, and phylogenetic approaches can elucidate the historical rates of extinction of specialist lineages. In this Viewpoint article, we review how advances in DNA barcoding and metabarcoding of plants and pollinators have brought important developments to our understanding of specialization in plant-pollinator interactions. We then put forth several lines of inquiry that we feel are especially promising for providing insight on changes in plant-pollinator interactions over space and time. Obtaining estimates of the effects of reductions in specialists will contribute to forecasting the loss of ecosystem services that will accompany the erosion of plant and pollinator diversity.
© 2016 The Authors. New Phytologist © 2016 New Phytologist Trust.

Keywords:  diversity; ecosystem function; extinction; metabarcoding; specialization; speciation; stability

Mesh:

Year:  2016        PMID: 27901268     DOI: 10.1111/nph.14356

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  6 in total

Review 1.  Next-Generation Sequencing and Its Impacts on Entomological Research in Ecology and Evolution.

Authors:  Débora Pires Paula
Journal:  Neotrop Entomol       Date:  2021-08-10       Impact factor: 1.434

2.  DNA metabarcoding data unveils invisible pollination networks.

Authors:  André Pornon; Christophe Andalo; Monique Burrus; Nathalie Escaravage
Journal:  Sci Rep       Date:  2017-12-04       Impact factor: 4.379

3.  Pollinator specialization increases with a decrease in a mass-flowering plant in networks inferred from DNA metabarcoding.

Authors:  André Pornon; Sandra Baksay; Nathalie Escaravage; Monique Burrus; Christophe Andalo
Journal:  Ecol Evol       Date:  2019-09-30       Impact factor: 2.912

4.  Assessing the efficacy of eDNA metabarcoding for measuring microbial biodiversity within forest ecosystems.

Authors:  Zachary S Ladin; Barbra Ferrell; Jacob T Dums; Ryan M Moore; Delphis F Levia; W Gregory Shriver; Vincent D'Amico; Tara L E Trammell; João Carlos Setubal; K Eric Wommack
Journal:  Sci Rep       Date:  2021-01-15       Impact factor: 4.379

5.  DNA barcoding herbaceous and woody plant species at a subalpine forest dynamics plot in Southwest China.

Authors:  Shao-Lin Tan; Ya-Huang Luo; Peter M Hollingsworth; Kevin S Burgess; Kun Xu; De-Zhu Li; Lian-Ming Gao
Journal:  Ecol Evol       Date:  2018-06-25       Impact factor: 2.912

6.  Plant evolution can mediate negative effects from honey bees on wild pollinators.

Authors:  James R D Milner; Elias H Bloom; David W Crowder; Tobin D Northfield
Journal:  Ecol Evol       Date:  2020-04-12       Impact factor: 2.912

  6 in total

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