ArticleiScience2021
A Phylogenetic Networks perspective on reticulate human evolution.
Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Clades, Grades, and the Genus Problem: A Case for Revising Hominin Taxonomy.American journal of biological anthropology · 2026Review
- Homo luzonensis and the role of homoplasy in the morphology of hominin insular species.Cladistics : the international journal of the Willi Hennig Society · 2026Article
- Article
- Evidence for deliberate burial of the dead byeLife · 2025Article
- Dental morphology in Homo habilis and its implications for the evolution of early Homo.Nature communications · 2024Article
- Interspecific hybridization explains rapid gorget colour divergence inRoyal Society open science · 2023Article
- Protocol combining tree-based Maximum Parsimony and web-like Phylogenetic Networks analyses to investigate reticulate human evolution.STAR protocols · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present a methodological phylogenetic reconstruction approach combining Maximum Parsimony and Phylogenetic Networks methods for the study of human evolution applied to phenotypic craniodental characters of 22 hominin species. The approach consists in selecting and validating a tree-like most parsimonious scenario out of several parsimony runs based on various numerical constraints. An intermediate step from tree to network methods is implemented by running an analysis with a reduced apomorphous character dataset that generates multiple parsimonious trees. These most parsimonious trees are then used as input for a Phylogenetic Networks analysis that results in consensus and reticulate networks. We show here that the phylogenetic tree-like definition of the genus
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Registered trials
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.