Haplotype tagging reveals parallel formation of hybrid races in two butterfly species
| Autor: | Yingguang Frank Chan, Marek Kučka, Jon R. Bridle, Chris D. Jiggins, Olivia Box Power, Campbell Rolian, Nicola J. Nadeau, Patricio A. Salazar, Ismael Aldás, Robert W. Davies, Andreea Dréau, Joana I. Meier, W. Owen McMillan, Nicholas H. Barton |
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| Přispěvatelé: | Meier, Joana I [0000-0001-7726-2875], Salazar, Patricio A [0000-0001-8988-0769], Kučka, Marek [0000-0002-0928-4914], Box Power, Olivia [0000-0002-7465-3923], Rolian, Campbell [0000-0002-7242-342X], Barton, Nicholas H [0000-0002-8548-5240], Jiggins, Chris D [0000-0002-7809-062X], Chan, Yingguang Frank [0000-0001-6292-9681], Apollo - University of Cambridge Repository |
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
Hybrid zone haplotypes Evolution Population genetics Sequencing data Genome 010603 evolutionary biology 01 natural sciences Müllerian mimicry 03 medical and health sciences Quantitative Trait Heritable Species Specificity Genetic variation Animals Selection Genetic Genomes 030304 developmental biology Gene Rearrangement 0303 health sciences Butterfly Multidisciplinary biology Biological Mimicry Haplotype Genetic Variation Cline (biology) Biological Sciences biology.organism_classification Evolutionary biology Chromosome Inversion Hybridization Genetic Ecuador Butterflies Heliconius erato |
| Zdroj: | bioRxiv Proceedings of the National Academy of Sciences of the United States of America |
| DOI: | 10.17863/cam.73318 |
| Popis: | Significance A defining goal in genetics is linking variation in DNA sequence to trait evolution between populations and, ultimately, species. Genome sequencing efficiently captures such variation but typically in millions of tiny fragments that omit haplotype or linkage information. We present “haplotagging,” a simple, rapid linked-read sequencing technique that allows high-throughput sequencing without sacrificing haplotype information. We validated this affordable approach for whole-genome haplotyping in large populations. We used haplotagging to investigate the rise of a novel hybrid morph in parallel hybrid zones of two comimetic Heliconius butterfly species in Ecuador. Our results reveal that strikingly parallel divergences in their genomes produced coordinated shifts in haplotype frequencies across the hybrid zone, giving rise to comimetic hybrid morphs in each species. Genetic variation segregates as linked sets of variants or haplotypes. Haplotypes and linkage are central to genetics and underpin virtually all genetic and selection analysis. Yet, genomic data often omit haplotype information due to constraints in sequencing technologies. Here, we present “haplotagging,” a simple, low-cost linked-read sequencing technique that allows sequencing of hundreds of individuals while retaining linkage information. We apply haplotagging to construct megabase-size haplotypes for over 600 individual butterflies (Heliconius erato and H. melpomene), which form overlapping hybrid zones across an elevational gradient in Ecuador. Haplotagging identifies loci controlling distinctive high- and lowland wing color patterns. Divergent haplotypes are found at the same major loci in both species, while chromosome rearrangements show no parallelism. Remarkably, in both species, the geographic clines for the major wing-pattern loci are displaced by 18 km, leading to the rise of a novel hybrid morph in the center of the hybrid zone. We propose that shared warning signaling (Müllerian mimicry) may couple the cline shifts seen in both species and facilitate the parallel coemergence of a novel hybrid morph in both comimetic species. Our results show the power of efficient haplotyping methods when combined with large-scale sequencing data from natural populations. |
| Databáze: | OpenAIRE |
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