2017
DOI: 10.1080/00837792.2017.1313383
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Herbarium genomics: skimming and plastomics from archival specimens

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Cited by 59 publications
(62 citation statements)
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References 90 publications
(108 reference statements)
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“…connecting type specimens to genetic sequences, and therefore help to resolve longstanding taxonomic issues (Liimatainen et al, 2014). Sánchez Barreiro et al (2017) used a modern genotyping-by-sequencing (GBS) dataset to design RNA baits that were used to enrich for restriction enzyme associated loci in historic herbarium specimens It has also been shown that de novo assembly of genome skimming data is a relatively straightforward approach to generate sequences of high-copy regions like whole plastome sequences and nuclear ribosomal units (Staats et al, 2013;Besnard et al 2014;Zedane et al, 2016;Bakker, 2017). The ongoing PhyloNorway project uses a genome-skimming approach to assemble plastome sequences and aims to complete a reference database for all Norwegian vascular plants, with the majority of the material coming from herbarium collections (Taberlet et al 2018).…”
Section: Mining the Diversity Of Species Genomes Stored In Herbariamentioning
confidence: 99%
“…connecting type specimens to genetic sequences, and therefore help to resolve longstanding taxonomic issues (Liimatainen et al, 2014). Sánchez Barreiro et al (2017) used a modern genotyping-by-sequencing (GBS) dataset to design RNA baits that were used to enrich for restriction enzyme associated loci in historic herbarium specimens It has also been shown that de novo assembly of genome skimming data is a relatively straightforward approach to generate sequences of high-copy regions like whole plastome sequences and nuclear ribosomal units (Staats et al, 2013;Besnard et al 2014;Zedane et al, 2016;Bakker, 2017). The ongoing PhyloNorway project uses a genome-skimming approach to assemble plastome sequences and aims to complete a reference database for all Norwegian vascular plants, with the majority of the material coming from herbarium collections (Taberlet et al 2018).…”
Section: Mining the Diversity Of Species Genomes Stored In Herbariamentioning
confidence: 99%
“…Four species of Nicotiana section Suaveolentes (small-medium sized herbs- Figure 1A) were sequenced, for which there were both recently collected silica-dried leaf material (hereafter "fresh") and also herbarium collections of approximately 10 years of age (hereafter "herbarium"). The current consensus is that most damage is done during the initial specimen collection/preservation stage (in particular the heat treatment used in the drying process) (Staats et al, 2011(Staats et al, , 2013Bakker, 2017), hence the young age of specimens chosen here should not confound some conclusions regarding herbarium DNA more broadly. Large variation amplitude of environmental conditions during long-term storage would also contribute to further DNA degradation, but the storage conditions are generally relatively constant in most herbaria.…”
Section: Methodsmentioning
confidence: 99%
“…Provided that patterns of degradation are mostly stochastic (Staats et al, 2011), then the resulting sequence data should be suitable for many studies of genome evolution (including nuclear and organellar). Most studies that have thus far utilized HTS for herbarium specimen sequencing (herbariomics) have focussed on genome skimming (Dodsworth, 2015a) for organellar genome reconstruction, in particular for assembling the plastid genome (Bakker et al, 2016;Bakker, 2017). This is due to several factors, including ease of assembly and the predominance of plastid regions in angiosperm phylogenetics.…”
mentioning
confidence: 99%
“…Of course, the inclusion of paralogous cp genes from the nucleus or mitochondrion cannot be fully ruled out [2]. Another limitation is that highly degraded DNA cannot be used for long-range PCR, which limits its use with herbarium material [61,6]. The method is also unsuitable if larger rearrangements in gene order are to be expected, as have been found for example in Passiflora L. [62].…”
Section: Enrichment Of Chloroplast Dna Using Long-range Pcrmentioning
confidence: 99%