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http://hdl.handle.net/2160/425...
Part of book or chapter of book
Data sources: UnpayWall
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https://doi.org/10.1007/978-1-...
Part of book or chapter of book . 2014 . Peer-reviewed
License: Springer TDM
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DNA Barcoding for Plants

Authors: Natasha de Vere; Sarah A. Trinder; Tim C. G. Rich; Charlotte Long;

DNA Barcoding for Plants

Abstract

DNA barcoding uses specific regions of DNA in order to identify species. Initiatives are taking place around the world to generate DNA barcodes for all groups of living organisms and to make these data publically available in order to help understand, conserve, and utilize the world's biodiversity. For land plants the core DNA barcode markers are two sections of coding regions within the chloroplast, part of the genes, rbcL and matK. In order to create high quality databases, each plant that is DNA barcoded needs to have a herbarium voucher that accompanies the rbcL and matK DNA sequences. The quality of the DNA sequences, the primers used, and trace files should also be accessible to users of the data. Multiple individuals should be DNA barcoded for each species in order to check for errors and allow for intraspecific variation. The world's herbaria provide a rich resource of already preserved and identified material and these can be used for DNA barcoding as well as by collecting fresh samples from the wild. These protocols describe the whole DNA barcoding process, from the collection of plant material from the wild or from the herbarium, how to extract and amplify the DNA, and how to check the quality of the data after sequencing.

Related Organizations
Keywords

Electrophoresis, Agar Gel, DNA, Plant, Sequence Analysis, DNA, Plants, Polymerase Chain Reaction, Specimen Handling, Terminology as Topic, DNA Barcoding, Taxonomic, Sequence Alignment, Information Systems

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    60
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
60
Top 1%
Top 10%
Average