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High-throughput sequencing reveals inbreeding depression in a natural population

Authors :
Hoffman, Joseph I
Simpson, Fraser
David, Patrice
Rijks, Jolianne M
Kuiken, Thijs
Thorne, Michael A S
Lacy, Robert C
Dasmahapatra, Kanchon K
Veterinair Pathologisch Diagnostisch Cnt
PB AVM
Advances in Veterinary Medicine
Veterinair Pathologisch Diagnostisch Cnt
PB AVM
Advances in Veterinary Medicine
Virology
Source :
Proceedings of the National Academy of Sciences of the U.S.A., 111(10), 3775-3780. National Academy of Sciences, Proceedings of the National Academy of Sciences of the United States of America, 111(10), 3775. National Academy of Sciences
Publication Year :
2014

Abstract

Proxy measures of genome-wide heterozygosity based on approximately 10 microsatellites have been used to uncover heterozygosity fitness correlations (HFCs) for a wealth of important fitness traits in natural populations. However, effect sizes are typically very small and the underlying mechanisms remain contentious, as a handful of markers usually provides little power to detect inbreeding. We therefore used restriction site associated DNA (RAD) sequencing to accurately estimate genome-wide heterozygosity, an approach transferrable to any organism. As a proof of concept, we first RAD sequenced oldfield mice (Peromyscus polionotus) from a known pedigree, finding strong concordance between the inbreeding coefficient and heterozygosity measured at 13,198 single-nucleotide polymorphisms (SNPs). When applied to a natural population of harbor seals (Phoca vitulina), a weak HFC for parasite infection based on 27 microsatellites strengthened considerably with 14,585 SNPs, the deviance explained by heterozygosity increasing almost fivefold to a remarkable 49%. These findings arguably provide the strongest evidence to date of an HFC being due to inbreeding depression in a natural population lacking a pedigree. They also suggest that under some circumstances heterozygosity may explain far more variation in fitness than previously envisaged.

Details

Language :
English
ISSN :
00278424
Volume :
111
Issue :
10
Database :
OpenAIRE
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Accession number :
edsair.doi.dedup.....4d9eed02f35845f960ba63e8e35582be