Parentage Analysis in Genetic Populations

Parentage analysis in genetic populations employs molecular markers to infer familial relationships and reconstruct pedigrees, offering insights into reproductive systems, dispersal, inbreeding and demographic history. Early approaches relied on highly polymorphic microsatellite loci, leveraging allele size variation to assign parent–offspring pairs via exclusion and likelihood methods. The advent of high-throughput genotyping has driven a transition towards single nucleotide polymorphism (SNP) panels, which afford standardisation between laboratories, finer power to detect relatedness and scalability to large data sets. Modern parentage workflows typically involve the selection of informative loci, genotyping of candidate parents and offspring, statistical assignment based on likelihood ratios or exclusion probabilities, and integration of demographic or spatial data to resolve ambiguous cases. Applications span wildlife conservation, where pedigree data guide management of endangered species; aquaculture and livestock breeding, where parentage knowledge underpins selection and inbreeding control; and human forensics, where familial inference may aid investigative work. Continued methodological innovations aim to reduce genotyping costs, optimise marker panels for non-invasive or degraded samples, and enhance analytical software to reconstruct multigenerational pedigrees with minimal error.

Research from Nature Portfolio

Recent studies have addressed the challenge of obtaining sufficient DNA quality and quantity for dense SNP panels in wildlife and conservation contexts. A systematic evaluation of multiple tissue and sampling sources demonstrated that most non-invasive and archival sample types yield adequate DNA for double-digest RAD sequencing and medium-density SNP assays, although DNA integrity remains variable. By modelling the influence of tissue type, storage method, preservative, extraction timing and DNA quality on yield, researchers have provided practical guidelines for optimising sample collection and preservation protocols. These advances facilitate more reliable parentage assignment in populations where invasive sampling is constrained or sample quality cannot be guaranteed.

Parentage Analysis in Genetic Populations publication trend

The graph below shows the total number of articles in parentage analysis in genetic populations across all publications each year (not limited to Nature Index journals).

Technical terms

Single nucleotide polymorphism (SNP): a variation at a single base position in the genome, used as a biallelic marker for genotyping and relationship inference.

Microsatellite: a tandemly repeated short DNA motif that exhibits high allelic diversity, traditionally used for parentage and population studies.

Probability of exclusion (PE): the likelihood that a randomly chosen non-parent will be excluded from parentage based on genotype comparisons.

Likelihood ratio (LOD score): the log of the odds comparing the probability of observed genotypes under a parent–offspring relationship versus unrelatedness.

Sibship clustering: the grouping of individuals inferred to share one or more common parents, used to reconstruct family structures beyond dyadic assignments.

Pedigree reconstruction: the process of inferring a multigenerational family tree using genetic and auxiliary data, allowing estimation of relatedness and inheritance patterns.

References

1. Evaluation of DNA yield from various tissue and sampling sources for use in single nucleotide polymorphism panels. Scientific Reports (2024).
2. PMSeeker: A Scheme Based on the Greedy Algorithm and the Exhaustive Algorithm to Screen Low-Redundancy Marker Sets for Large-Scale Parentage Assignment with Full Parental Genotyping. Biology (2024).
3. Pedigree reconstruction from SNP data: parentage assignment, sibship clustering and beyond. Molecular Ecology Resources (2017).
4. Strategies for determining kinship in wild populations using genetic data. Ecology and Evolution (2016).