Evidence map›Paper›PMID 32244605›Full record

ArticlePlants (Basel, Switzerland)2020

The Treasure Vault Can be Opened: Large-Scale Genome Skimming Works Well Using Herbarium and Silica Gel Dried Material.

Inger Greve Alsos, Sebastien Lavergne, Marie Kristine Føreid Merkel, Marti Boleda, Youri Lammers, Adriana Alberti, Charles Pouchon, France Denoeud, Iva Pitelkova, Mihai Pușcaș and 6 more

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
–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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  18. Using ancient sedimentary DNA to forecast ecosystem trajectories under climate change.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
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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

16 authors.

Inger Greve AlsosTromsø Museum, UiT-The Arctic University of Norway, N-9037 Tromsø, Norway.ORCID 0000-0002-8610-1085
Sebastien LavergneLECA, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, F-38000 Grenoble, France.
Marie Kristine Føreid MerkelTromsø Museum, UiT-The Arctic University of Norway, N-9037 Tromsø, Norway.
Marti BoledaLECA, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, F-38000 Grenoble, France.
Youri LammersTromsø Museum, UiT-The Arctic University of Norway, N-9037 Tromsø, Norway.
Adriana AlbertiGénomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 91057 Evry, France.ORCID 0000-0003-3372-9423
Charles PouchonLECA, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, F-38000 Grenoble, France.
France DenoeudGénomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 91057 Evry, France.
Iva PitelkovaTromsø Museum, UiT-The Arctic University of Norway, N-9037 Tromsø, Norway.
Mihai PușcașA. Borza Botanical Garden and Faculty of Biology and Geology, Babeș-Bolyai University, 400015 Cluj-Napoca, Romania.
Cristina RoquetLECA, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, F-38000 Grenoble, France.ORCID 0000-0001-8748-3743
Bogdan-Iuliu HurduInstitute of Biological Research, National Institute of Research and Development for Biological Sciences, 48 Republicii Street, 400015 Cluj-Napoca, Romania.ORCID 0000-0002-3165-108X
Wilfried ThuillerLECA, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, F-38000 Grenoble, France.ORCID 0000-0002-5388-5274
Niklaus E ZimmermannSwiss Federal Research Institute WSL, 8903 Birmensdorf, Switzerland.ORCID 0000-0003-3099-9604
Peter M HollingsworthRoyal Botanic Garden Edinburgh, Edinburgh EH3 5LR, UK.
Eric CoissacLECA, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, F-38000 Grenoble, France.

Funding

Agence Nationale de la Recherche ANR-07-BDIV-014Agence Nationale de la Recherche ANR-13-ISV7-0004Agence Nationale de la Recherche BRANCUSI No. 32660WBAgence Nationale de la Recherche PN-II-CT-ROFR-2014-2-0011Agence Nationale de la Recherche PN-II-ID-JRP-RO-FR-2012France Génomique ANR-10-INBS-09-08Institut Français de Bioinformatique NextBarcode projectNorges Forskningsråd 226134/F50Norwegian Biodiversity Information Centre 14-14, 70184209Romanian Ministry of Education PN-II-RU-PD-2012-3-0636Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung Grant 31003A_149508/1Seventh Framework Programme FP7/2007-2013 281422Sixth Framework Programme GOCE-CT-2007-036866Universitetet i Tromsø PhD internal funded
6 · The paper itself

Abstract

Genome skimming has the potential for generating large data sets for DNA barcoding and wider biodiversity genomic studies, particularly via the assembly and annotation of full chloroplast (cpDNA) and nuclear ribosomal DNA (nrDNA) sequences. We compare the success of genome skims of 2051 herbarium specimens from Norway/Polar regions with 4604 freshly collected, silica gel dried specimens mainly from the European Alps and the Carpathians. Overall, we were able to assemble the full chloroplast genome for 67% of the samples and the full nrDNA cluster for 86%. Average insert length, cover and full cpDNA and rDNA assembly were considerably higher for silica gel dried than herbarium-preserved material. However, complete plastid genomes were still assembled for 54% of herbarium samples compared to 70% of silica dried samples. Moreover, there was comparable recovery of coding genes from both tissue sources (121 for silica gel dried and 118 for herbarium material) and only minor differences in assembly success of standard barcodes between silica dried (89% ITS2, 96%

Indexed as

alpinechloroplast DNAenvironmental DNAITSmatKnuclear ribosomal DNAphylogenomicplant DNA barcodepolarrbcL

Identifiers

PMID32244605
PMCPMC7238428

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Registered trials

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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.