Literature DB >> 33529182

Testing the effect of pollen exine rupture on metabarcoding with Illumina sequencing.

Stephanie J Swenson1, Birgit Gemeinholzer1.   

Abstract

Pollen metabarcoding has received much attention recently for its potential to increase taxonomic resolution of the identifications of pollen grains necessary for various public health, ecological and environmental inquiry. However, methodologies implemented are widely varied across studies confounding comparisons and casting uncertainty on the reliability of results. In this study, we investigated part of the methodology, the effects of level of exine rupture and lysis incubation time, on the performance of DNA extraction and Illumina sequencing. We examined 15 species of plants from 12 families with pollen that varies in size, shape, and aperture number to evaluate effort necessary for exine rupture. Then created mock communities of 14 of the species from DNA extractions at 4 levels of exine rupture (0, 33, 67, and 100%) and two levels of increased lysis incubation time without exine rupture (2 or 24 hours). Quantities of these DNA extractions displayed a positive correlation between increased rupture and DNA yield, however increasing time of lysis incubation was associated with decreased DNA yield. Illumina sequencing was performed with these artificial community treatments with three common plant DNA barcode regions (rbcL, ITS1, ITS2) with two different primer pairings for ITS2 and rbcL. We found decreased performance in treatments with 0% or 100% exine rupture compared to 33% and 67% rupture, based on deviation from expected proportions and species retrieval, and increased lysis incubation was found to be detrimental to results.

Entities:  

Year:  2021        PMID: 33529182      PMCID: PMC7853484          DOI: 10.1371/journal.pone.0245611

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  37 in total

1.  Honey bee waggle dance communication increases diversity of pollen diets in intensively managed agricultural landscapes.

Authors:  Fabian Nürnberger; Alexander Keller; Stephan Härtel; Ingolf Steffan-Dewenter
Journal:  Mol Ecol       Date:  2019-07-21       Impact factor: 6.185

2.  Automated DNA extraction from pollen in honey.

Authors:  Patrick Guertler; Adelina Eicheldinger; Paul Muschler; Ottmar Goerlich; Ulrich Busch
Journal:  Food Chem       Date:  2013-11-01       Impact factor: 7.514

3.  Family-level relationships of Onagraceae based on chloroplast rbcL and ndhF data.

Authors:  Rachel A Levin; Warren L Wagner; Peter C Hoch; Molly Nepokroeff; J Chris Pires; Elizabeth A Zimmer; Kenneth J Sytsma
Journal:  Am J Bot       Date:  2003-01       Impact factor: 3.844

4.  Quantitative and qualitative assessment of pollen DNA metabarcoding using constructed species mixtures.

Authors:  Karen L Bell; Kevin S Burgess; Jamieson C Botsch; Emily K Dobbs; Timothy D Read; Berry J Brosi
Journal:  Mol Ecol       Date:  2018-09-07       Impact factor: 6.185

5.  A DNA barcoding approach to identify plant species in multiflower honey.

Authors:  I Bruni; A Galimberti; L Caridi; D Scaccabarozzi; F De Mattia; M Casiraghi; M Labra
Journal:  Food Chem       Date:  2014-08-23       Impact factor: 7.514

6.  Evaluating multiplexed next-generation sequencing as a method in palynology for mixed pollen samples.

Authors:  A Keller; N Danner; G Grimmer; M Ankenbrand; K von der Ohe; W von der Ohe; S Rost; S Härtel; I Steffan-Dewenter
Journal:  Plant Biol (Stuttg)       Date:  2014-09-30       Impact factor: 3.081

7.  An rbcL reference library to aid in the identification of plant species mixtures by DNA metabarcoding.

Authors:  Karen L Bell; Virginia M Loeffler; Berry J Brosi
Journal:  Appl Plant Sci       Date:  2017-03-10       Impact factor: 1.936

8.  PLANiTS: a curated sequence reference dataset for plant ITS DNA metabarcoding.

Authors:  Elisa Banchi; Claudio G Ametrano; Samuele Greco; David Stanković; Lucia Muggia; Alberto Pallavicini
Journal:  Database (Oxford)       Date:  2020-01-01       Impact factor: 3.451

9.  A two-locus global DNA barcode for land plants: the coding rbcL gene complements the non-coding trnH-psbA spacer region.

Authors:  W John Kress; David L Erickson
Journal:  PLoS One       Date:  2007-06-06       Impact factor: 3.240

10.  Using DNA Metabarcoding to Identify the Floral Composition of Honey: A New Tool for Investigating Honey Bee Foraging Preferences.

Authors:  Jennifer Hawkins; Natasha de Vere; Adelaide Griffith; Col R Ford; Joel Allainguillaume; Matthew J Hegarty; Les Baillie; Beverley Adams-Groom
Journal:  PLoS One       Date:  2015-08-26       Impact factor: 3.240

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  3 in total

1.  Assessing pollen nutrient content: a unifying approach for the study of bee nutritional ecology.

Authors:  Pierre Lau; Pierre Lesne; Robert J Grebenok; Juliana Rangel; Spencer T Behmer
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2022-05-02       Impact factor: 6.671

2.  Plant biodiversity assessment through pollen DNA metabarcoding in Natura 2000 habitats (Italian Alps).

Authors:  Kleopatra Leontidou; Despoina Vokou; Anna Sandionigi; Antonia Bruno; Maria Lazarina; Johannes De Groeve; Mingai Li; Claudio Varotto; Matteo Girardi; Maurizio Casiraghi; Antonella Cristofori
Journal:  Sci Rep       Date:  2021-09-14       Impact factor: 4.379

3.  Pollen Monitoring by Optical Microscopy and DNA Metabarcoding: Comparative Study and New Insights.

Authors:  Mattia Fragola; Augusto Arsieni; Nicola Carelli; Sabrina Dattoli; Sante Maiellaro; Maria Rita Perrone; Salvatore Romano
Journal:  Int J Environ Res Public Health       Date:  2022-02-24       Impact factor: 3.390

  3 in total

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