ReviewMolecular ecology2009
Statistical inferences in phylogeography.
Review in Molecular ecology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.
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.
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.
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Who cites it
70 citing papers in PubMed.
- The effect of habitat loss and fragmentation on isolation by distance and divergence.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Reconciling Gene Tree Discordance and Biogeography in European Crows.Molecular ecology · 2025Article
- Maximum likelihood phylogeographic inference of cell motility and cell division from spatial lineage tracing data.Bioinformatics (Oxford, England) · 2024Article
- Article
- Genetic signatures of lineage fusion closely resemble population decline.Ecology and evolution · 2023Article
- Sometimes hidden but always there: the assumptions underlying genetic inference of demographic histories.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021Review
- Insights from Population Genomics to Enhance and Sustain Biological Control of Insect Pests.Insects · 2020Review
- Evolutionary Diversity in the Intracellular Microsporidian Parasite Nosema sp. Infecting Wild Silkworm Revealed by IGS Nucleotide Sequence Diversity.Journal of molecular evolution · 2020Article
- Ancient DNA suggests modern wolves trace their origin to a Late Pleistocene expansion from Beringia.Molecular ecology · 2020Article
- Genomic, Transcriptomic and Epigenomic Tools to Study the Domestication of Plants and Animals: A Field Guide for Beginners.Frontiers in genetics · 2020Review
- Contemporary Demographic Reconstruction Methods Are Robust to Genome Assembly Quality: A Case Study in Tasmanian Devils.Molecular biology and evolution · 2019Article
- Deciphering the Evolutionary History of Arowana Fishes (Teleostei, Osteoglossiformes, Osteoglossidae): Insight from Comparative Cytogenomics.International journal of molecular sciences · 2019Article
- Inferring the demographic history of Japanese cedar, Cryptomeria japonica, using amplicon sequencing.Heredity · 2019Article
- Squamate reptiles challenge paradigms of genomic repeat element evolution set by birds and mammals.Nature communications · 2018Article
- Increased mitochondrial DNA diversity in ancient Columbia River basin Chinook salmon Oncorhynchus tshawytscha.PloS one · 2018Article
- How strong was the bottleneck associated to the peopling of the Americas? New insights from multilocus sequence data.Genetics and molecular biology · 2018Article
- Article
- Estimating mobility using sparse data: Application to human genetic variation.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- The interplay of demography and selection during maize domestication and expansion.Genome biology · 2017Article
- An efficient pipeline to generate data for studies in plastid population genomics and phylogeography.Applications in plant sciences · 2017Article
10 more citing papers are in PubMed but not listed here.
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In conventional phylogeographic studies, historical demographic processes are elucidated from the geographical distribution of individuals represented on an inferred gene tree. However, the interpretation of gene trees in this context can be difficult as the same demographic/geographical process can randomly lead to multiple different genealogies. Likewise, the same gene trees can arise under different demographic models. This problem has led to the emergence of many statistical methods for making phylogeographic inferences. A popular phylogeographic approach based on nested clade analysis is challenged by the fact that a certain amount of the interpretation of the data is left to the subjective choices of the user, and it has been argued that the method performs poorly in simulation studies. More rigorous statistical methods based on coalescence theory have been developed. However, these methods may also be challenged by computational problems or poor model choice. In this review, we will describe the development of statistical methods in phylogeographic analysis, and discuss some of the challenges facing these methods.
Indexed as
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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.