Literature DB >> 26751251

Review and future prospects for DNA barcoding methods in forensic palynology.

Karen L Bell1, Kevin S Burgess2, Kazufusa C Okamoto3, Roman Aranda4, Berry J Brosi5.   

Abstract

Pollen can be a critical forensic marker in cases where determining geographic origin is important, including investigative leads, missing persons cases, and intelligence applications. However, its use has previously been limited by the need for a high level of specialization by expert palynologists, slow speeds of identification, and relatively poor taxonomic resolution (typically to the plant family or genus level). By contrast, identification of pollen through DNA barcoding has the potential to overcome all three of these limitations, and it may seem surprising that the method has not been widely implemented. Despite what might seem a straightforward application of DNA barcoding to pollen, there are technical issues that have delayed progress. However, recent developments of standard methods for DNA barcoding of pollen, along with improvements in high-throughput sequencing technology, have overcome most of these technical issues. Based on these recent methodological developments in pollen DNA barcoding, we believe that now is the time to start applying these techniques in forensic palynology. In this article, we discuss the potential for these methods, and outline directions for future research to further improve on the technology and increase its applicability to a broader range of situations.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  DNA barcoding; DNA metabarcoding; Forensic botany; Forensic palynology; High-throughput sequencing; Metagenomics

Mesh:

Substances:

Year:  2015        PMID: 26751251     DOI: 10.1016/j.fsigen.2015.12.010

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  17 in total

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Authors:  Ruofei Du; Zhide Fang
Journal:  J Appl Stat       Date:  2018-01-27       Impact factor: 1.404

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Journal:  Forensic Sci Med Pathol       Date:  2021-04-08       Impact factor: 2.007

Review 3.  The Future of Environmental DNA in Forensic Science.

Authors:  Julia S Allwood; Noah Fierer; Robert R Dunn
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4.  Replacing Sanger with Next Generation Sequencing to improve coverage and quality of reference DNA barcodes for plants.

Authors:  Mike J Wilkinson; Claudia Szabo; Caroline S Ford; Yuval Yarom; Adam E Croxford; Amanda Camp; Paul Gooding
Journal:  Sci Rep       Date:  2017-04-12       Impact factor: 4.379

5.  Explaining large mitochondrial sequence differences within a population sample.

Authors:  Mary Morgan-Richards; Mariana Bulgarella; Louisa Sivyer; Edwina J Dowle; Marie Hale; Natasha E McKean; Steven A Trewick
Journal:  R Soc Open Sci       Date:  2017-11-29       Impact factor: 2.963

6.  Single nucleotide polymorphism barcoding of cytochrome c oxidase I sequences for discriminating 17 species of Columbidae by decision tree algorithm.

Authors:  Cheng-Hong Yang; Kuo-Chuan Wu; Hans-Uwe Dahms; Li-Yeh Chuang; Hsueh-Wei Chang
Journal:  Ecol Evol       Date:  2017-05-23       Impact factor: 2.912

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.  Pollen sleuthing for terrestrial plant surveys: Locating plant populations by exploiting pollen movement.

Authors:  Lesley G Campbell; Stephanie J Melles; Eric Vaz; Rebecca J Parker; Kevin S Burgess
Journal:  Appl Plant Sci       Date:  2018-02-08       Impact factor: 1.936

9.  Pollen DNA metabarcoding identifies regional provenance and high plant diversity in Australian honey.

Authors:  Liz Milla; Kale Sniderman; Rose Lines; Mahsa Mousavi-Derazmahalleh; Francisco Encinas-Viso
Journal:  Ecol Evol       Date:  2021-06-03       Impact factor: 2.912

10.  Lake sedimentary DNA accurately records 20th Century introductions of exotic conifers in Scotland.

Authors:  Per Sjögren; Mary E Edwards; Ludovic Gielly; Catherine T Langdon; Ian W Croudace; Marie Kristine Føreid Merkel; Thierry Fonville; Inger Greve Alsos
Journal:  New Phytol       Date:  2016-09-28       Impact factor: 10.151

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