2021
DOI: 10.1073/pnas.2015005118
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Haplotype tagging reveals parallel formation of hybrid races in two butterfly species

Abstract: 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… Show more

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Cited by 52 publications
(75 citation statements)
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“…Despite major technological advances, long-read sequencing that can recover haplotype information remains too costly for typical population genomic studies. However, the recent development of an affordable linked-read low-coverage sequencing approach (haplotagging; Meier et al, 2021) promises to open many new opportunities for haplotype-based inference on a population scale by enabling efficient phasing and imputation of low-coverage linked-read data without a reference panel. Phased haplotype data will provide substantial improvement in imputation performance compared to the short-insert lcWGS data explored in Box 4, and make completely new types of analysis possible with lcWGS data.…”
Section: Considerations For Using Imputation In Nonmodel Systemsmentioning
confidence: 99%
“…Despite major technological advances, long-read sequencing that can recover haplotype information remains too costly for typical population genomic studies. However, the recent development of an affordable linked-read low-coverage sequencing approach (haplotagging; Meier et al, 2021) promises to open many new opportunities for haplotype-based inference on a population scale by enabling efficient phasing and imputation of low-coverage linked-read data without a reference panel. Phased haplotype data will provide substantial improvement in imputation performance compared to the short-insert lcWGS data explored in Box 4, and make completely new types of analysis possible with lcWGS data.…”
Section: Considerations For Using Imputation In Nonmodel Systemsmentioning
confidence: 99%
“…Because of this oligogenic control of mimetic colour pattern, crosses between different mimetic forms often result in the formation of recombinant, non-mimetic phenotypes. This is notably observed in the transition zones between the geographic ranges of distinct mimetic forms (22,26) and the recurrent formation of these poorly protected individuals is expected to favor the evolution of clusters of wing pattern loci (2,27). Consistent with this prediction, two independent inversions have been observed around cortex -a gene involved in wing patterning-in H. numata and H. pardalinus (28) and in H. sara, H. demeter, H. hecalesia and H. telesiphe, respectively (29).…”
Section: Introductionmentioning
confidence: 91%
“…Though linked-read sequencing approaches show great promise in population genomics (e.g., Lutgen et al, 2020), many platforms are currently prohibitively expensive. One notable exception is haplotagging, a recent low-cost linked-read sequencing method (Meier et al, 2021).…”
Section: Box 3 Maximising the Advantage Of Whole-genome Resequencing With Haplotype Datamentioning
confidence: 99%