Evidence map›Paper›PMID 34534224›Full record

ArticlePloS one2021

Development and evaluation of a custom bait design based on 469 single-copy protein-coding genes for exon capture of isopods (Philosciidae: Haloniscus).

Danielle N Stringer, Terry Bertozzi, Karen Meusemann, Steven Delean, Michelle T Guzik, Simon M Tierney, Christoph Mayer, Steven J B Cooper, Mohammad Javidkar, Andreas Zwick and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 51% of its field
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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

11 authors at 4 institutions in 2 countries.

Danielle N StringerAustralian Centre for Evolutionary Biology and Biodiversity, School of Biological Sciences, The University of Adelaide, Adelaide, South Australia, Australia.ORCID 0000-0002-6562-5031
Terry BertozziAustralian Centre for Evolutionary Biology and Biodiversity, School of Biological Sciences, The University of Adelaide, Adelaide, South Australia, Australia.ORCID 0000-0001-6665-3395
Karen MeusemannEvolutionary Biology and Ecology, Institute for Biology I, University of Freiburg, Freiburg, Germany.
Steven DeleanSchool of Biological Sciences and the Environment Institute, The University of Adelaide, Adelaide, South Australia, Australia.
Michelle T GuzikAustralian Centre for Evolutionary Biology and Biodiversity, School of Biological Sciences, The University of Adelaide, Adelaide, South Australia, Australia.
Simon M TierneyAustralian Centre for Evolutionary Biology and Biodiversity, School of Biological Sciences, The University of Adelaide, Adelaide, South Australia, Australia.ORCID 0000-0002-8812-6753
Christoph MayerCenter for Molecular Biodiversity Research, Zoological Research Museum Alexander Koenig, Bonn, Germany.
Steven J B CooperAustralian Centre for Evolutionary Biology and Biodiversity, School of Biological Sciences, The University of Adelaide, Adelaide, South Australia, Australia.
Mohammad JavidkarAustralian Centre for Evolutionary Biology and Biodiversity, School of Biological Sciences, The University of Adelaide, Adelaide, South Australia, Australia.
Andreas ZwickAustralian National Insect Collection, CSIRO National Research Collections Australia, Acton, Australian Capital Territory, Australia.
Andrew D AustinAustralian Centre for Evolutionary Biology and Biodiversity, School of Biological Sciences, The University of Adelaide, Adelaide, South Australia, Australia.
South Australian Museum · AUThe University of Adelaide · AUCommonwealth Scientific and Industrial Research Organisation · AUZoological Research Museum Alexander Koenig · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptome-based exon capture approaches, along with next-generation sequencing, are allowing for the rapid and cost-effective production of extensive and informative phylogenomic datasets from non-model organisms for phylogenetics and population genetics research. These approaches generally employ a reference genome to infer the intron-exon structure of targeted loci and preferentially select longer exons. However, in the absence of an existing and well-annotated genome, we applied this exon capture method directly, without initially identifying intron-exon boundaries for bait design, to a group of highly diverse Haloniscus (Philosciidae), paraplatyarthrid and armadillid isopods, and examined the performance of our methods and bait design for phylogenetic inference. Here, we identified an isopod-specific set of single-copy protein-coding loci, and a custom bait design to capture targeted regions from 469 genes, and analysed the resulting sequence data with a mapping approach and newly-created post-processing scripts. We effectively recovered a large and informative dataset comprising both short (<100 bp) and longer (>300 bp) exons, with high uniformity in sequencing depth. We were also able to successfully capture exon data from up to 16-year-old museum specimens along with more distantly related outgroup taxa, and efficiently pool multiple samples prior to capture. Our well-resolved phylogenies highlight the overall utility of this methodological approach and custom bait design, which offer enormous potential for application to future isopod, as well as broader crustacean, molecular studies.

Indexed as

ExonsGenomeOpen Reading FramesAnimalsArthropod ProteinsDatasets as TopicGene ExpressionGenetic LociGenetics, PopulationHigh-Throughput Nucleotide SequencingIntronsIsopodaPhylogenyArthropod Proteins

Identifiers

PMID34534224
PMCPMC8448321
OpenAlexW3199239089

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.