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Evolutionary Relationships through Genome Comparisons

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

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Related Experiment Video

Updated: Jun 10, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

Do morphometric data improve phylogenetic reconstruction? A systematic review and assessment.

Emma J Holvast¹, Mélina A Celik², Matthew J Phillips²

¹School of Archaeology and Anthropology, The Australian National University, Canberra, Australia. Emma.Holvast@anu.edu.au.

BMC Ecology and Evolution

|October 18, 2024

Summary

Geometric morphometric (GMM) data can improve phylogenetic inference, but current research shows it does not increase phylogenetic accuracy. More studies are needed to compare continuous and discrete morphological data for better phylogenetic reconstruction.

Keywords:

Continuous characters Geometric morphometrics Landmarks Phylogeny reconstruction Quantitative characters Shape

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Last Updated: Jun 10, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

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Published on: February 15, 2017

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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

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Published on: August 14, 2018

Area of Science:

Evolutionary Biology
Systematic Biology
Phylogenetics

Background:

Morphological data are vital for phylogenetics and molecular dating, but subjective character definitions introduce bias.
Quantitative data, such as geometric morphometric (GMM) data, offer a more objective approach to integrating morphology into phylogenetic inference.
This systematic review examines the use of continuous morphometric data for phylogenetic reconstruction and compares its efficacy against discrete characters.

Conclusions:

Only twelve empirical studies using continuous morphometric data for phylogenetics were identified.
The lack of direct comparisons between discrete and continuous data hinders understanding of continuous data's performance.
Researchers are urged to conduct studies comparing discrete and continuous datasets with directly comparable properties (shape or size) to address this knowledge gap.