Evidence map›Paper›PMID 40036877›Full record

ArticleSystematic biology2025

Phylogenomics of Marine Angelfishes: Diagnosing Sources of Systematic Discordance for an Iconic Reef Fish Family (F: Pomacanthidae).

Lauriane M Baraf, Julia Y Hung, Peter F Cowman

Abstract read
In one paragraph

Article in Systematic biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

3 authors.

Lauriane M BarafCollege of Science and Engineering, James Cook University, 1 James Cook Dr, Townsville, QLD 4814, Australia.ORCID 0009-0008-6063-6058
Julia Y HungCollege of Science and Engineering, James Cook University, 1 James Cook Dr, Townsville, QLD 4814, Australia.
Peter F CowmanCollege of Science and Engineering, James Cook University, 1 James Cook Dr, Townsville, QLD 4814, Australia.

Funding

ARC Centre of Excellence Programme CE140100020ARC DECRA Fellowships DE170100516David Yellowlees Excellence in Research Award
6 · The paper itself

Abstract

Genome-scale data sets are resolving challenging nodes across the tree of life. These data sets, however, characterized by inherent heterogeneity, often push traditional phylogenetic reconstruction methods to their limits. By integrating multiple phylogenomic approaches, we can identify the causes of topological discordance within genomic partitions while accounting for various sources of heterogeneity and systematic errors. Here we conduct the first in-depth analysis of discordance for the reef family Pomacanthidae (marine angelfishes) using target enrichment data of ~1,000 ultraconserved elements from 45 pomacanthid species. Our combined phylogenomic approach resolved the systematics of the family at the base of the pomacanthid tree. Despite this resolution, our analyses also highlight discordance in ancestral nodes associated with the paraphyletic Centropyge genus and monotypic Pygoplites lineage, and the impact of incomplete lineage sorting in the evolutionary history pomacanthids. Species network searches and model selection supported a reticulated evolutionary history suggesting 3 ancient gene flow events between ghost (or unsampled) lineages at the root of the Pomacanthidae tree and ancestors of Genicanthus, Centropyge, Chaetodontoplus, and Pomacanthus lineages. This study advances our understanding of diagnosing topological discordance in genome-scale phylogenies and provide an analytical pathway for limiting systematic errors. In the process of diagnosing discordance, we identify key evolutionary processes involved in the complex evolution of marine angelfishes. While often inconvenient in phylogenetic analyses, patterns of discordance can shed light on underlying biological and evolutionary processes that shape the evolution of biodiversity.

Indexed as

FishesPhylogenyAnimalsClassificationCoral ReefsGenomicsbioinformaticsdiscordancePhylogenomicsPomacanthidaereef fishUCEs

Identifiers

PMID40036877
PMCPMC12700002

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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.