Evidence map›Paper›PMID 31369563›Full record

ArticlePloS one2019

Identifying genetic markers for a range of phylogenetic utility-From species to family level.

Bokyung Choi, Michael D Crisp, Lyn G Cook, Karen Meusemann, Robert D Edwards, Alicia Toon, Carsten Külheim

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Read2Tree: scalable and accurate phylogenetic trees from raw reads.bioRxiv : the preprint server for biology · 2022
    Article
  6. Article
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

7 authors.

Bokyung ChoiDivision of Ecology and Evolution, Research School of Biology, The Australian National University, Canberra, Australian Capital Territory, Australia.
Michael D CrispDivision of Ecology and Evolution, Research School of Biology, The Australian National University, Canberra, Australian Capital Territory, Australia.
Lyn G CookThe University of Queensland, School of Biological Sciences, Brisbane, Queensland, Australia.
Karen MeusemannEvolutionary Biology & Ecology, Institute for Biology, University of Freiburg, Freiburg (Brsg.), Germany.
Robert D EdwardsThe University of Queensland, School of Biological Sciences, Brisbane, Queensland, Australia.ORCID 0000-0002-4993-2453
Alicia ToonThe University of Queensland, School of Biological Sciences, Brisbane, Queensland, Australia.
Carsten KülheimDivision of Ecology and Evolution, Research School of Biology, The Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0002-0798-3324

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resolving the phylogenetic relationships of closely related species using a small set of loci is challenging as sufficient information may not be captured from a limited sample of the genome. Relying on few loci can also be problematic when conflict between gene-trees arises from incomplete lineage sorting and/or ongoing hybridization, problems especially likely in recently diverged lineages. Here, we developed a method using limited genomic resources that allows identification of many low copy candidate loci from across the nuclear and chloroplast genomes, design probes for target capture and sequence the captured loci. To validate our method we present data from Eucalyptus and Melaleuca, two large and phylogenetically problematic genera within the Myrtaceae family. With one annotated genome, one transcriptome and two whole-genome shotgun sequences of one Eucalyptus and four Melaleuca species, respectively, we identified 212 loci representing 263 kbp for targeted sequence capture and sequencing. Of these, 209 were successfully tested from 47 samples across five related genera of Myrtaceae. The average percentage of reads mapped back to the reference was 57.6% with coverage of more than 20 reads per position across 83.5% of the data. The methods developed here should be applicable across a large range of taxa across all kingdoms. The core methods are very flexible, providing a platform for various genomic resource availabilities and are useful from shallow to deep phylogenies.

Indexed as

Genetic MarkersGenome, ChloroplastCell NucleusEucalyptusHybridization, GeneticMelaleucaMultigene FamilyPhylogenyPlant ProteinsSpecies SpecificityGenetic MarkersPlant Proteins

Identifiers

PMID31369563
PMCPMC6675087

What OpenQuestion holds

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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.