About this Research Topic
Polyploidisation, whole genome duplication, is a major evolutionary force that shapes the diversity of angiosperms, ferns, fish, reptiles, arthropods and amphibians lineages. Polyploids have two major classifications, allopolyploids (a hybrid of two or more distinguished genomes) and autopolyploids (resulted from multiple duplication of a single genome). Although polyploidisation is very common in nature, its effect at the population level has been poorly studied due to complexities related to the inheritance and evolution of polyploids.
In practice, the similarity among allopolyploid ancestral diploid genomes and the presence of more than two copies of each chromosome in autopolyploids make it, in most cases, impossible to infer polyploid population genetics characteristics using diploid statistical methods creating a need to develop new models especially for polyploids. Polyploidisation complexities can even influence genomic and functional genomic analyses such as single nucleotide polymorphism (SNP) genotyping, next generation sequencing (NGS) and genome editing.
This Research Topic provides a platform for scientists to share their opinions and shape the future of polyploid population genetic studies and applications. The broad aim is to throw a light on the theoretical evolutionary and population genetics of polyploids and how to exploit such information for different applications. We welcome submissions of any type in areas related but not limited to:
1- Adapting diploid population genetics models to polyploids
2- Theoretical mathematical models for polyploid population genetics and evolution
3- Polyploid forward-in-time and coalescent simulation models
4- Polyploid conservation and quantitative genetics
5- The effect of polyploid characters on the population level
6- Multiple origin, subdivision, gene flow and selection in polyploid populations
7- Polyploid genomic and functional genomic analytical tools
8- Opinions on the future of polyploid research
Keywords: Allopolyploids, Autopolyploids, Polyploidisation, Mathematical Biology, Simulation
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