Evidence map›Paper›PMID 42645641›Full record

ArticleGenetica2026

Integrating microsatellite data via locus-specific mode-shift harmonisation reveals circumpolar population structure in reindeer and caribou (Rangifer tarandus).

Magdalena Semina, Gulnara Svishcheva, Anna Kuznetsova, Danila Kozyrenko, Kasim Laishev, Yuri Stolpovsky

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Article in Genetica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Magdalena SeminaVavilov Institute of General Genetics of the Russian Academy of Sciences, Moscow, Russia. Magdalena.semina@gmail.com.ORCID https://orcid.org/0000-0002-9276-0407
Gulnara SvishchevaVavilov Institute of General Genetics of the Russian Academy of Sciences, Moscow, Russia.ORCID http://orcid.org/0000-0001-9478-267X
Anna KuznetsovaVavilov Institute of General Genetics of the Russian Academy of Sciences, Moscow, Russia.ORCID http://orcid.org/0009-0000-4797-1136
Danila KozyrenkoVavilov Institute of General Genetics of the Russian Academy of Sciences, Moscow, Russia.ORCID http://orcid.org/0009-0006-1810-5726
Kasim LaishevVavilov Institute of General Genetics of the Russian Academy of Sciences, Moscow, Russia.ORCID http://orcid.org/0000-0003-2490-6942
Yuri StolpovskyVavilov Institute of General Genetics of the Russian Academy of Sciences, Moscow, Russia.ORCID http://orcid.org/0000-0003-2537-1900

Funding

Russian Science Foundation 25-16-00314
6 · The paper itself

Abstract

Reindeer and caribou (Rangifer tarandus) occupy a vast northern range spanning Eurasia and North America, where understanding population structure is essential for conservation and management. However, comparative analyses across this circumpolar distribution are hindered by systematic allele-size offsets introduced by differences in genotyping platforms, laboratory protocols, and allele-calling procedures. Here, we applied a locus-specific mode-shift harmonisation procedure to integrate legacy microsatellite datasets from Alaska, Canada, and Russia. The final harmonised dataset included 1544 individuals from 42 populations genotyped at nine shared microsatellite loci. The procedure used dataset- and locus-specific modal allele differences to reduce systematic allele-size offsets while preserving within-dataset allele-frequency structure and heterozygosity status. To evaluate robustness, we compared diversity statistics before and after harmonisation, tested alternative reference alignments, and performed sensitivity analyses excluding populations with small sample sizes and loci with large modal allele shifts. We also assessed a pooled small-sample dataset in which sparsely represented populations were grouped within biologically meaningful regional or ecological units. Diversity estimates remained unchanged after harmonisation, as expected for constant locus-specific allele-size shifts, and broad interregional structure was retained across reference alignments and sensitivity filters. After harmonisation, PCA, DAPC, Nei-distance analysis, pairwise FST, and exploratory ADMIXTURE analyses consistently supported broad differentiation among Russian, Canadian, and Alaskan populations, with Alaskan populations occupying an intermediate position between Canadian and Russian groups. These results are consistent with historical connectivity across the Beringian region. Our study shows that reference-based mode-shift harmonisation can provide a practical framework for improving the comparability of heterogeneous microsatellite datasets when shared reference samples are unavailable, while remaining complementary to direct cross-laboratory calibration approaches.

Indexed as

Genetics, PopulationMicrosatellite RepeatsReindeerAlaskaAllelesAnimalsCanadaGene FrequencyGenetic VariationRussiaADMIXTUREGenetic diversityMicrosatellite dataset integrationPopulation structureRangifer tarandus

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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.