bioRxiv Science⌕ Search

bioRxiv · 10.1101/083915

FST and kinship for arbitrary population structures I: Generalized definitions

Abstract

FST is a fundamental measure of genetic differentiation and population structure, currently defined for subdivided populations. FST in practice typically assumes independent, non-overlapping subpopulations, which all split simultaneously from their last common ancestral population so that genetic drift in each subpopulation is probabilistically independent of the other subpopulations. We introduce a generalized FST definition for arbitrary population structures, where individuals may be related in arbitrary ways, allowing for arbitrary probabilistic dependence among individuals. Our definitions are built on identity-by-descent (IBD) probabilities that relate individuals through inbreeding and kinship coefficients. We generalize FST as the mean inbreeding coefficient of the individuals local populations relative to their last common ancestral population. We show that the generalized definition agrees with Wrights original and the independent subpopulation definitions as special cases. We define a novel coancestry model based on \"individual-specific allele frequencies\" and prove that its parameters correspond to probabilistic kinship coefficients. Lastly, we extend the Pritchard-Stephens-Donnelly admixture model in the context of our coancestry model and calculate its FST. To motivate this work, we include a summary of analyses we have carried out in follow-up papers, where our new approach has been applied to simulations and global human data, showcasing the complexity of human population structure, demonstrating our success in estimating kinship and FST, and the shortcomings of existing approaches. The probabilistic framework we introduce here provides a theoretical foundation that extends FST in terms of inbreeding and kinship coefficients to arbitrary population structures, paving the way for new estimators and novel analyses.\n\nNote: This article is Part I of two-part manuscripts. We refer to these in the text as Part I and Part II, respectively.\n\nPart I: Alejandro Ochoa and John D. Storey. \"FST and kinship for arbitrary population structures I: Generalized definitions\". bioRxiv (10.1101/083915) (2019). https://doi.org/10.1101/083915. First published 2016-10-27.\n\nPart II: Alejandro Ochoa and John D. Storey. \"FST and kinship for arbitrary population structures II: Method of moments estimators\". bioRxiv (10.1101/083923) (2019). https://doi.org/10.1101/083923. First published 2016-10-27.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Ochoa, A., Storey, J. D.. 2016-10-27. FST and kinship for arbitrary population structures I: Generalized definitions. https://doi.org/10.1101/083915

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Mapping, stacking and characterization of a novel resistance haplotype against GpaVvrn-virulent Globodera pallida derived from wild potato relative Solanum brevicaule

Potato production is threatened by pests and pathogens. Among the most harmful are the potato cyst nematodes (PCN), including Globodera pallida. The major control measures are potato cultivars harbouring resistance genes. However, virulent nematode populations are breaking through the most broadly applied resistance genes, and therefore novel resistance genes are required to keep control of G. pallida. In this study we map a resistance locus in wild potato relative Solanum brevicaule to the bottom of chromosome 11 (42.83 - 42.85 Mb) using a k-mer based bulked segregant analysis and name the resistant haplotype GpaXIbrc. The presence of the GpaXIbrc marker in the potato genome significantly increases resistance against a GpaVvrn-virulent G. pallida population (AMPOP01). Furthermore, the GpaXIbrc haplotype was stacked with three other resistance haplotypes: GpaXItar, GpaVvrn, and GpaIXvrn. Stacking of the novel GpaXIbrc haplotype to these other resistance haplotypes resulted in a significant increase in resistance. The largest effect was seen in combinations with 'major' resistance haplotypes GpaVvrn + GpaIXvrn and GpaXItar + GpaXIbrc. To determine whether we are dealing with a novel allele, the resistance mechanism underlying the GpaXIbrc haplotype was described after performing an in vitro bioassay. The resistance mechanism was different from GpaXIspl as described in literature, which is also localized at the bottom of chromosome 11. Therefore, we conclude that we found a novel resistance allele originating from S. brevicaule.

genetics↗

Multiple domains of Mata1 transcription factor contribute to binding site specificity

Among homologous transcription factors with the same function, DNA-binding specificity can diverge. Mat1 is a high mobility group (HMG) box transcription factor in budding yeast whose Saccharomyces cerevisiae and Candida albicans homologs regulate -specific genes but bind distinct cis-regulatory sequences. To identify the protein features underlying this divergence, we generated structure-guided chimeras and measured their activity using species-specific reporters. Replacing any of the four Mat1 regions reduced activation of the S. cerevisiae reporter, while all chimeras retained activity on the C. albicans reporter. Thus, all four regions of Mat - not just the HMG box domain - are important for sequence specificity.

genetics↗

A multi-tissue RNA-seq atlas of adult medaka (Oryzias latipes) under salinity and winter-summer sampling contrasts

Medaka (Oryzias latipes) is a euryhaline and eurythermal teleost widely used in genetics and environmental biology. We generated an RNA-sequencing atlas of 11 adult tissues (brain, eye, gill, heart, intestine, kidney, liver, muscle, spleen, ovary, testis) of the strain d-rR/TOKYO, sampled under two independent environmental contrasts: salinity (freshwater versus seawater) and season (winter versus summer). The freshwater and summer groups, reared indoors and outdoors under long days, provide a third contrast between laboratory and outdoor rearing. Typically, one male and one female were sampled per condition, with ten tissues taken from each individual. Ninety libraries were quantified against the medaka RefSeq transcript set (GCF_053564925.1). The resource comprises gene-level TPM and count matrices, differential expression tables for each tissue and contrast, tissue-specificity indices, human ortholog annotations, sample metadata, and a self-contained interactive browser. Because replication is limited and each condition was sampled on its own date, the differential expression tables are intended for hypothesis generation. The dataset supports studies of gene-expression plasticity and comparisons between medaka and humans.

genetics↗