Literature DB >> 36098815

DNA metabarcoding identifies urban foraging patterns of oligolectic and polylectic cavity-nesting bees.

Kristen Fernandes1,2,3, Kit Prendergast4, Philip W Bateman5,6, Benjamin J Saunders4, Mark Gibberd7, Michael Bunce8,9, Paul Nevill8,6.   

Abstract

Urbanisation modifies natural landscapes resulting in built-up space that is covered by buildings or hard surfaces and managed green spaces that often substitute native plant species with exotics. Some native bee species have been able to adapt to urban environments, foraging and reproducing in these highly modified areas. However, little is known on how the foraging ecology of native bees is affected by urbanised environments, and whether impacts vary among species with different degrees of specialisation for pollen collection. Here, we aim to investigate the responses of native bee foraging behaviour to urbanisation, using DNA metabarcoding to identify the resources within nesting tubes. We targeted oligolectic (specialist) and polylectic (generalist) cavity-nesting bee species in residential gardens and remnant bushland habitats. We were able to identify 40 families, 50 genera, and 23 species of plants, including exotic species, from the contents of nesting tubes. Oligolectic bee species had higher diversity of plant pollen in their nesting tubes in residential gardens compared to bushland habitats, along with significantly different forage composition between the two habitats. This result implies a greater degree of forage flexibility for oligolectic bee species than previously thought. In contrast, the diversity and composition of plant forage in polylectic bee nesting tubes did not vary between the two habitat types. Our results suggest a complex response of cavity-nesting bees to urbanisation and support the need for additional research to understand how the shifts in foraging resources impact overall bee health.
© 2022. The Author(s).

Entities:  

Keywords:  DNA metabarcoding; Floral preferences; Native bees; Trap nests; Urbanisation

Year:  2022        PMID: 36098815     DOI: 10.1007/s00442-022-05254-0

Source DB:  PubMed          Journal:  Oecologia        ISSN: 0029-8549            Impact factor:   3.298


  41 in total

1.  Plant-pollinator networks: adding the pollinator's perspective.

Authors:  Jordi Bosch; Ana M Martín González; Anselm Rodrigo; David Navarro
Journal:  Ecol Lett       Date:  2009-05       Impact factor: 9.492

2.  obitools: a unix-inspired software package for DNA metabarcoding.

Authors:  Frédéric Boyer; Céline Mercier; Aurélie Bonin; Yvan Le Bras; Pierre Taberlet; Eric Coissac
Journal:  Mol Ecol Resour       Date:  2015-05-26       Impact factor: 7.090

Review 3.  Pollen DNA barcoding: current applications and future prospects.

Authors:  Karen L Bell; Natasha de Vere; Alexander Keller; Rodney T Richardson; Annemarie Gous; Kevin S Burgess; Berry J Brosi
Journal:  Genome       Date:  2016-04-13       Impact factor: 2.166

Review 4.  Strategies for sample labelling and library preparation in DNA metabarcoding studies.

Authors:  Kristine Bohmann; Vasco Elbrecht; Christian Carøe; Iliana Bista; Florian Leese; Michael Bunce; Douglas W Yu; Mathew Seymour; Alex J Dumbrell; Simon Creer
Journal:  Mol Ecol Resour       Date:  2021-10-13       Impact factor: 8.678

5.  DADA2: High-resolution sample inference from Illumina amplicon data.

Authors:  Benjamin J Callahan; Paul J McMurdie; Michael J Rosen; Andrew W Han; Amy Jo A Johnson; Susan P Holmes
Journal:  Nat Methods       Date:  2016-05-23       Impact factor: 28.547

6.  Temperate airborne grass pollen defined by spatio-temporal shifts in community composition.

Authors:  Georgina L Brennan; Caitlin Potter; Natasha de Vere; Gareth W Griffith; Carsten A Skjøth; Nicholas J Osborne; Benedict W Wheeler; Rachel N McInnes; Yolanda Clewlow; Adam Barber; Helen M Hanlon; Matthew Hegarty; Laura Jones; Alexander Kurganskiy; Francis M Rowney; Charlotte Armitage; Beverley Adams-Groom; Col R Ford; Geoff M Petch; Simon Creer
Journal:  Nat Ecol Evol       Date:  2019-04-08       Impact factor: 15.460

7.  Using DNA metabarcoding to investigate honey bee foraging reveals limited flower use despite high floral availability.

Authors:  Natasha de Vere; Laura E Jones; Tegan Gilmore; Jake Moscrop; Abigail Lowe; Dan Smith; Matthew J Hegarty; Simon Creer; Col R Ford
Journal:  Sci Rep       Date:  2017-02-16       Impact factor: 4.379

8.  Urbanisation modulates plant-pollinator interactions in invasive vs. native plant species.

Authors:  Sascha Buchholz; Ingo Kowarik
Journal:  Sci Rep       Date:  2019-04-23       Impact factor: 4.379

9.  Validation of the ITS2 region as a novel DNA barcode for identifying medicinal plant species.

Authors:  Shilin Chen; Hui Yao; Jianping Han; Chang Liu; Jingyuan Song; Linchun Shi; Yingjie Zhu; Xinye Ma; Ting Gao; Xiaohui Pang; Kun Luo; Ying Li; Xiwen Li; Xiaocheng Jia; Yulin Lin; Christine Leon
Journal:  PLoS One       Date:  2010-01-07       Impact factor: 3.240

10.  Ecological traits affect the sensitivity of bees to land-use pressures in European agricultural landscapes.

Authors:  Adriana De Palma; Michael Kuhlmann; Stuart P M Roberts; Simon G Potts; Luca Börger; Lawrence N Hudson; Igor Lysenko; Tim Newbold; Andy Purvis
Journal:  J Appl Ecol       Date:  2015-09-23       Impact factor: 6.528

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