Evidence map›Paper›PMID 31911810›Full record

ArticlePlant methods2020

Large scale genome skimming from herbarium material for accurate plant identification and phylogenomics.

Paul G Nevill, Xiao Zhong, Julian Tonti-Filippini, Margaret Byrne, Michael Hislop, Kevin Thiele, Stephen van Leeuwen, Laura M Boykin, Ian Small

Abstract read
In one paragraph

Article in Plant methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed.

  1. Article
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  4. Review
  5. Article
  6. Backbone phylogeny ofPlant diversity · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Exploring Taxonomic and Genetic Relationships in theInternational journal of molecular sciences · 2024
    Article
  12. Article
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  14. Article
  15. Article
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  19. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Paul G Nevill1Australian Research Council Centre for Mine Site Restoration, School of Molecular and Life Sciences, Curtin University, GPO Box U1987, Perth, WA 6102 Australia.ORCID 0000-0003-2060-906X
Xiao Zhong4Australian Research Council Centre of Excellence in Plant Energy Biology, The University of Western Australia, Crawley, WA 6009 Australia.
Julian Tonti-Filippini4Australian Research Council Centre of Excellence in Plant Energy Biology, The University of Western Australia, Crawley, WA 6009 Australia.
Margaret Byrne2School of Biological Sciences, The University of Western Australia, Crawley, WA 6009 Australia.
Michael HislopBiodiversity and Conservation Science, Department of Biodiversity, Conservation and Attractions, Locked Bag 104, Bentley Delivery Centre, Bentley, WA 6983 Australia.
Kevin Thiele2School of Biological Sciences, The University of Western Australia, Crawley, WA 6009 Australia.
Stephen van LeeuwenBiodiversity and Conservation Science, Department of Biodiversity, Conservation and Attractions, Locked Bag 104, Bentley Delivery Centre, Bentley, WA 6983 Australia.
Laura M Boykin4Australian Research Council Centre of Excellence in Plant Energy Biology, The University of Western Australia, Crawley, WA 6009 Australia.
Ian Small4Australian Research Council Centre of Excellence in Plant Energy Biology, The University of Western Australia, Crawley, WA 6009 Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHerbaria are valuable sources of extensive curated plant material that are now accessible to genetic studies because of advances in high-throughput, next-generation sequencing methods. As an applied assessment of large-scale recovery of plastid and ribosomal genome sequences from herbarium material for plant identification and phylogenomics, we sequenced 672 samples covering 21 families, 142 genera and 530 named and proposed named species. We explored the impact of parameters such as sample age, DNA concentration and quality, read depth and fragment length on plastid assembly error. We also tested the efficacy of DNA sequence information for identifying plant samples using 45 specimens recently collected in the Pilbara.

resultsGenome skimming was effective at producing genomic information at large scale. Substantial sequence information on the chloroplast genome was obtained from 96.1% of samples, and complete or near-complete sequences of the nuclear ribosomal RNA gene repeat were obtained from 93.3% of samples. We were able to extract sequences for the core DNA barcode regions

conclusionsWe showed that a large-scale approach to genome sequencing using herbarium specimens produces high-quality complete cpDNA and rDNA sequences as a source of data for DNA barcoding and phylogenomics.

Indexed as

ChloroplastGenome skimmingHerbarium specimensNext-generation sequencingPilbaraPlant DNA barcodingPlastid genome

Identifiers

PMID31911810
PMCPMC6942304

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.