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  Long-term balancing selection drives evolution of immunity genes in Capsella

Koenig, D., Hagmann, J., Li, R., Bemm, F., Slotte, T., Neuffer, B., et al. (2019). Long-term balancing selection drives evolution of immunity genes in Capsella. eLife, 8: e43606. doi:10.7554/eLife.43606.

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 Creators:
Koenig, D1, Author           
Hagmann, J1, Author           
Li, R1, Author           
Bemm, F1, Author           
Slotte, T, Author
Neuffer, B, Author
Wright, SI, Author
Weigel, D1, Author           
Affiliations:
1Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society, ou_3375790              

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 Abstract: Genetic drift is expected to remove polymorphism from populations over long periods of time, with the rate of polymorphism loss being accelerated when species experience strong reductions in population size. Adaptive forces that maintain genetic variation in populations, or balancing selection, might counteract this process. To understand the extent to which natural selection can drive the retention of genetic diversity, we document genomic variability after two parallel species-wide bottlenecks in the genus Capsella. We find that ancestral variation preferentially persists at immunity related loci, and that the same collection of alleles has been maintained in different lineages that have been separated for several million years. By reconstructing the evolution of the disease-related locus MLO2b, we find that divergence between ancient haplotypes can be obscured by referenced based re-sequencing methods, and that trans-specific alleles can encode substantially diverged protein sequences. Our data point to long-term balancing selection as an important factor shaping the genetics of immune systems in plants and as the predominant driver of genomic variability after a population bottleneck.

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 Dates: 2019-02
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.7554/eLife.43606
PMID: 30806624
 Degree: -

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Title: eLife
Source Genre: Journal
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Publ. Info: Cambridge : eLife Sciences Publications
Pages: 27 Volume / Issue: 8 Sequence Number: e43606 Start / End Page: - Identifier: ISSN: 2050-084X
CoNE: https://pure.mpg.de/cone/journals/resource/2050-084X