Evidence map›Paper›PMID 31886503›Full record

ArticleSystematic biology2020

Hierarchical Hybrid Enrichment: Multitiered Genomic Data Collection Across Evolutionary Scales, With Application to Chorus Frogs (Pseudacris).

Sarah E Banker, Alan R Lemmon, Alyssa Bigelow Hassinger, Mysia Dye, Sean D Holland, Michelle L Kortyna, Oscar E Ospina, Hannah Ralicki, Emily Moriarty Lemmon

Open access · bronzeAbstract read
In one paragraph

Article in Systematic biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
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  4. Size matters: individual variation in auditory sensitivity may influence sexual selection in Pacific treefrogs (Pseudacris regilla).Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2024
    Article
  5. Chromosomal evolution, environmental heterogeneity, and migration drive spatial patterns of species richness inProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Article
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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 at 2 institutions in 1 country.

Sarah E BankerDepartment of Biological Science, Florida State University, 319 Stadium Drive, Tallahassee, FL 32306, USA.
Alan R LemmonDepartment of Scientific Computing, Florida State University 400 Dirac Science Library, Tallahassee, FL 32306, USA.
Alyssa Bigelow HassingerDepartment of Biological Science, Florida State University, 319 Stadium Drive, Tallahassee, FL 32306, USA.
Mysia DyeDepartment of Biological Science, Florida State University, 319 Stadium Drive, Tallahassee, FL 32306, USA.
Sean D HollandDepartment of Biological Science, Florida State University, 319 Stadium Drive, Tallahassee, FL 32306, USA.
Michelle L KortynaDepartment of Biological Science, Florida State University, 319 Stadium Drive, Tallahassee, FL 32306, USA.
Oscar E OspinaDepartment of Biological Science, Florida State University, 319 Stadium Drive, Tallahassee, FL 32306, USA.
Hannah RalickiDepartment of Biological Science, Florida State University, 319 Stadium Drive, Tallahassee, FL 32306, USA.
Emily Moriarty LemmonDepartment of Biological Science, Florida State University, 319 Stadium Drive, Tallahassee, FL 32306, USA.
Florida State University · USUniversity of Connecticut · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determining the optimal targets of genomic subsampling for phylogenomics, phylogeography, and population genomics remains a challenge for evolutionary biologists. Of the available methods for subsampling the genome, hybrid enrichment (sequence capture) has become one of the primary means of data collection for systematics, due to the flexibility and cost efficiency of this approach. Despite the utility of this method, information is lacking as to what genomic targets are most appropriate for addressing questions at different evolutionary scales. In this study, first, we compare the benefits of target loci developed for deep- and shallow scales by comparing these loci at each of three taxonomic levels: within a genus (phylogenetics), within a species (phylogeography), and within a hybrid zone (population genomics). Specifically, we target evolutionarily conserved loci that are appropriate for deeper phylogenetic scales and more rapidly evolving loci that are informative for phylogeographic and population genomic scales. Second, we assess the efficacy of targeting multiple-locus sets for different taxonomic levels in the same hybrid enrichment reaction, an approach we term hierarchical hybrid enrichment. Third, we apply this approach to the North American chorus frog genus Pseudacris to answer key evolutionary questions across taxonomic and temporal scales. We demonstrate that in this system the type of genomic target that produces the most resolved gene trees differs depending on the taxonomic level, although the potential for error is substantially lower for the deep-scale loci at all levels. We successfully recover data for the two different locus sets with high efficiency. Using hierarchical data targeting deep and shallow levels: we 1) resolve the phylogeny of the genus Pseudacris and introduce a novel visual and hypothesis testing method that uses nodal heat maps to examine the robustness of branch support values to the removal of sites and loci; 2) estimate the phylogeographic history of Pseudacris feriarum, which reveals up to five independent invasions leading to sympatry with congener Pseudacris nigrita to form replicated reinforcement contact zones with ongoing gene flow into sympatry; and 3) quantify with high confidence the frequency of hybridization in one of these zones between P. feriarum and P. nigrita, which is lower than microsatellite-based estimates. We find that the hierarchical hybrid enrichment approach offers an efficient, multitiered data collection method for simultaneously addressing questions spanning multiple evolutionary scales. [Anchored hybrid enrichment; heat map; hybridization; phylogenetics; phylogeography; population genomics; reinforcement; reproductive character displacement.].

Indexed as

AnimalsAnuraClassificationData CollectionGenomePhylogenyPhylogeography

Identifiers

PMID31886503
PMCPMC7302053
OpenAlexW2997066114

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.