The future of parentage analysis: From microsatellites to SNPs and beyond

Parentage analysis is a cornerstone of molecular ecology that has delivered fundamental insights into behaviour, ecology and evolution. Microsatellite markers have long been the king of parentage, their hypervariable nature conferring sufficient power to correctly assign offspring to parents. Howeve...

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Bibliographic Details
Published in:Molecular ecology 2019-02, Vol.28 (3), p.544-567
Main Authors: Flanagan, Sarah P., Jones, Adam G.
Format: Article
Language:English
Subjects:
Bayesian analysis
Bayesian parentage
Data processing
Ecological monitoring
Ecology
Genetic markers
Genetics
Heredity
Illumina sequencing
Markers
Microsatellites
next‐generation sequencing
Offspring
parentage assignment
Parents
paternity analysis
Population genetics
Population studies
RAD‐seq
sibship reconstruction
Single-nucleotide polymorphism
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Summary:Parentage analysis is a cornerstone of molecular ecology that has delivered fundamental insights into behaviour, ecology and evolution. Microsatellite markers have long been the king of parentage, their hypervariable nature conferring sufficient power to correctly assign offspring to parents. However, microsatellite markers have seen a sharp decline in use with the rise of next‐generation sequencing technologies, especially in the study of population genetics and local adaptation. The time is ripe to review the current state of parentage analysis and see how it stands to be affected by the emergence of next‐generation sequencing approaches. We find that single nucleotide polymorphisms (SNPs), the typical next‐generation sequencing marker, remain underutilized in parentage analysis but are gaining momentum, with 58 SNP‐based parentage analyses published thus far. Many of these papers, particularly the earlier ones, compare the power of SNPs and microsatellites in a parentage context. In virtually every case, SNPs are at least as powerful as microsatellite markers. As few as 100–500 SNPs are sufficient to resolve parentage completely in most situations. We also provide an overview of the analytical programs that are commonly used and compatible with SNP data. As the next‐generation parentage enterprise grows, a reliance on likelihood and Bayesian approaches, as opposed to strict exclusion, will become increasingly important. We discuss some of the caveats surrounding the use of next‐generation sequencing data for parentage analysis and conclude that the future is bright for this important realm of molecular ecology.
ISSN:0962-1083
1365-294X
DOI:10.1111/mec.14988