Evidence map›Paper›PMID 33680581›Full record

ArticleApplications in plant sciences2021

High-throughput methods for efficiently building massive phylogenies from natural history collections.

Ryan A Folk, Heather R Kates, Raphael LaFrance, Douglas E Soltis, Pamela S Soltis, Robert P Guralnick

Abstract read
In one paragraph

Article in Applications in plant sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  9. Green plant genomes: What we know in an era of rapidly expanding opportunities.Proceedings of the National Academy of Sciences of the United States of America · 2022
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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

6 authors.

Ryan A FolkDepartment of Biological Sciences Mississippi State University Mississippi State Mississippi USA.ORCID https://orcid.org/0000-0002-5333-9273
Heather R KatesFlorida Museum of Natural History University of Florida Gainesville Florida USA.ORCID https://orcid.org/0000-0001-8490-2201
Raphael LaFranceFlorida Museum of Natural History University of Florida Gainesville Florida USA.
Douglas E SoltisFlorida Museum of Natural History University of Florida Gainesville Florida USA.ORCID https://orcid.org/0000-0001-8638-4137
Pamela S SoltisFlorida Museum of Natural History University of Florida Gainesville Florida USA.ORCID https://orcid.org/0000-0001-9310-8659
Robert P GuralnickFlorida Museum of Natural History University of Florida Gainesville Florida USA.ORCID https://orcid.org/0000-0001-6682-1504

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

premiseLarge phylogenetic data sets have often been restricted to small numbers of loci from GenBank, and a vetted sampling-to-sequencing phylogenomic protocol scaling to thousands of species is not yet available. Here, we report a high-throughput collections-based approach that empowers researchers to explore more branches of the tree of life with numerous loci.

methodsWe developed an integrated Specimen-to-Laboratory Information Management System (SLIMS), connecting sampling and wet lab efforts with progress tracking at each stage. Using unique identifiers encoded in QR codes and a taxonomic database, a research team can sample herbarium specimens, efficiently record the sampling event, and capture specimen images. After sampling in herbaria, images are uploaded to a citizen science platform for metadata generation, and tissue samples are moved through a simple, high-throughput, plate-based herbarium DNA extraction and sequencing protocol.

resultsWe applied this sampling-to-sequencing workflow to ~15,000 species, producing for the first time a data set with ~50% taxonomic representation of the "nitrogen-fixing clade" of angiosperms. DISCUSSION: The approach we present is appropriate at any taxonomic scale and is extensible to other collection types. The widespread use of large-scale sampling strategies repositions herbaria as accessible but largely untapped resources for broad taxonomic sampling with thousands of species.

Indexed as

destructive samplingherbariaherbariomicsmuseomicsphylogenomics

Identifiers

PMID33680581
PMCPMC7910806

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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.