Evidence map›Paper›PMID 27189999›Full record

ArticleGenome biology and evolution2016

Capturing the Phylogeny of Holometabola with Mitochondrial Genome Data and Bayesian Site-Heterogeneous Mixture Models.

Fan Song, Hu Li, Pei Jiang, Xuguo Zhou, Jinpeng Liu, Changhai Sun, Alfried P Vogler, Wanzhi Cai

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Article in Genome biology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

90 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. The first complete mitochondrial genome sequences ofFrontiers in veterinary science · 2026
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  15. The complete mitochondrial genomes ofFrontiers in veterinary science · 2025
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30 more citing papers are in PubMed but not listed here.

4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Fan SongDepartment of Entomology, China Agricultural University, Beijing, China.
Hu LiDepartment of Entomology, China Agricultural University, Beijing, China.
Pei JiangDepartment of Entomology, China Agricultural University, Beijing, China.
Xuguo ZhouDepartment of Entomology, University of Kentucky, Lexington.
Jinpeng LiuMarkey Cancer Center, University of Kentucky, Lexington.
Changhai SunDepartment of Entomology, Nanjing Agricultural University, Nanjing, China.
Alfried P VoglerDepartment of Life Sciences, Silwood Park Campus, Imperial College London, Ascot, United Kingdom Department of Life Sciences, Natural History Museum, London, United Kingdom caiwz@cau.edu.cn a.vogler@nhm.ac.uk.
Wanzhi CaiDepartment of Entomology, China Agricultural University, Beijing, China caiwz@cau.edu.cn a.vogler@nhm.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After decades of debate, a mostly satisfactory resolution of relationships among the 11 recognized holometabolan orders of insects has been reached based on nuclear genes, resolving one of the most substantial branches of the tree-of-life, but the relationships are still not well established with mitochondrial genome data. The main reasons have been the absence of sufficient data in several orders and lack of appropriate phylogenetic methods that avoid the systematic errors from compositional and mutational biases in insect mitochondrial genomes. In this study, we assembled the richest taxon sampling of Holometabola to date (199 species in 11 orders), and analyzed both nucleotide and amino acid data sets using several methods. We find the standard Bayesian inference and maximum-likelihood analyses were strongly affected by systematic biases, but the site-heterogeneous mixture model implemented in PhyloBayes avoided the false grouping of unrelated taxa exhibiting similar base composition and accelerated evolutionary rate. The inclusion of rRNA genes and removal of fast-evolving sites with the observed variability sorting method for identifying sites deviating from the mean rates improved the phylogenetic inferences under a site-heterogeneous model, correctly recovering most deep branches of the Holometabola phylogeny. We suggest that the use of mitochondrial genome data for resolving deep phylogenetic relationships requires an assessment of the potential impact of substitutional saturation and compositional biases through data deletion strategies and by using site-heterogeneous mixture models. Our study suggests a practical approach for how to use densely sampled mitochondrial genome data in phylogenetic analyses.

Indexed as

Evolution, MolecularPhylogenyAnimalsGenome, MitochondrialHigh-Throughput Nucleotide SequencingInsectaMitochondriaMolecular Sequence AnnotationMutationcompositional biasHolometabola phylogenymitochondrial phylogenomicsPhyloBayesrate variationtree-of-life

Identifiers

PMID27189999
PMCPMC4898802

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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.