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Cited by 1,622

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Relationships between gene trees and species trees.

Open access
·1988·Molecular Biology and Evolution

Abstract

It is well known that a phylogenetic tree (gene tree) constructed from DNA sequences for a genetic locus does not necessarily agree with the tree that represents the actual evolutionary pathway of the species involved (species tree). One of the important factors that cause this difference is genetic polymorphism in the ancestral species. Under the assumption of neutral mutations, this problem can be studied by evaluating the probability (P) that a gene tree has the same topology as that of the species tree. When one gene (allele) is used from each of the species involved, the probability can be expressed as a simple function of Ti = ti/(2N), where ti is the evolutionary time measured in generations for the ith internodal branch of the species tree and N is the effective population size. When any of the Ti's is less than 1, the probability P becomes considerably less than 1.0. This probability cannot be substantially increased by increasing the number of alleles sampled from a locus. To increase the probability, one has to use DNA sequences from many different loci that have evolved independently of each other.

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Crossref · 10.1093/oxfordjournals.molbev.a040517

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Metadata

Venue
Molecular Biology and Evolution
Published
1988-09
Volume
5
Issue
5
Pages
568-83
ISSN
  • 0737-4038 (ISSN-L)
  • 1537-1719
OpenAlex
W2142718629
Cited by
1,622
References
2
FWCI
5.34
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Relationships between gene trees and species trees. https://app.cochat.ai/papers/10.1093/oxfordjournals.molbev.a040517
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Relationships between gene trees and species trees. (1988). Molecular Biology and Evolution. https://doi.org/10.1093/oxfordjournals.molbev.a040517

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.