Evidence map›Paper›PMID 37494292›Full record

ArticleMolecular biology and evolution2023

Chromosome-Aware Phylogenomics of Assassin Bugs (Hemiptera: Reduvioidea) Elucidates Ancient Gene Conflict.

Alexander Knyshov, Eric R L Gordon, Paul K Masonick, Stephanie Castillo, Dimitri Forero, Rochelle Hoey-Chamberlain, Wei Song Hwang, Kevin P Johnson, Alan R Lemmon, Emily Moriarty Lemmon and 3 more

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2023. 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

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

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

13 authors.

Alexander KnyshovDepartment of Entomology, University of California, Riverside, CA, USA.ORCID 0000-0002-2141-9447
Eric R L GordonEcology and Evolutionary Biology Department, University of Connecticut, Storrs, CT, USA.
Paul K MasonickDepartment of Entomology, University of California, Riverside, CA, USA.
Stephanie CastilloDepartment of Entomology, University of California, Riverside, CA, USA.
Dimitri ForeroInstituto de Ciencias Naturales, Universidad Nacional de Colombia, Bogota, Colombia.
Rochelle Hoey-ChamberlainDepartment of Entomology, University of California, Riverside, CA, USA.
Wei Song HwangLee Kong Chian Natural History Museum, National University of Singapore, Queenstown, Singapore.
Kevin P JohnsonIllinois Natural History Survey, Prairie Research Institute, University of Illinois, Champaign, IL, USA.
Alan R LemmonDepartment of Scientific Computing, Florida State University, Tallahassee, FL, USA.
Emily Moriarty LemmonDepartment of Biological Science, Florida State University, Tallahassee, FL, USA.
Samantha StandringDepartment of Entomology, University of California, Riverside, CA, USA.
Junxia ZhangKey Laboratory of Zoological Systematics and Application of Hebei Province, Institute of Life Science and Green Development, College of Life Sciences, Hebei University, Baoding, Hebei, China.
Christiane WeirauchDepartment of Entomology, University of California, Riverside, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Though the phylogenetic signal of loci on sex chromosomes can differ from those on autosomes, chromosomal-level genome assemblies for nonvertebrates are still relatively scarce and conservation of chromosomal gene content across deep phylogenetic scales has therefore remained largely unexplored. We here assemble a uniquely large and diverse set of samples (17 anchored hybrid enrichment, 24 RNA-seq, and 70 whole-genome sequencing samples of variable depth) for the medically important assassin bugs (Reduvioidea). We assess the performance of genes based on multiple features (e.g., nucleotide vs. amino acid, nuclear vs. mitochondrial, and autosomal vs. X chromosomal) and employ different methods (concatenation and coalescence analyses) to reconstruct the unresolved phylogeny of this diverse (∼7,000 spp.) and old (>180 Ma) group. Our results show that genes on the X chromosome are more likely to have discordant phylogenies than those on autosomes. We find that the X chromosome conflict is driven by high gene substitution rates that impact the accuracy of phylogenetic inference. However, gene tree clustering showed strong conflict even after discounting variable third codon positions. Alternative topologies were not particularly enriched for sex chromosome loci, but spread across the genome. We conclude that binning genes to autosomal or sex chromosomes may result in a more accurate picture of the complex evolutionary history of a clade.

Indexed as

ReduviidaeAnimalsBiological EvolutionGenomePhylogenyX Chromosomegene conflictgene contentphylogenomicssex chromosomeX chromosome

Identifiers

PMID37494292
PMCPMC10411492

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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.