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Linked-read sequencing enables haplotype-resolved resequencing at population scale.
Lutgen, Dave; Ritter, Raphael; Olsen, Remi-André; Schielzeth, Holger; Gruselius, Joel; Ewels, Philip; García, Jesús T; Shirihai, Hadoram; Schweizer, Manuel; Suh, Alexander; Burri, Reto.
Affiliation
  • Lutgen D; Department of Population Ecology, Institute of Ecology and Evolution, Friedrich Schiller University Jena, Jena, Germany.
  • Ritter R; Department of Population Ecology, Institute of Ecology and Evolution, Friedrich Schiller University Jena, Jena, Germany.
  • Olsen RA; Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Solna, Sweden.
  • Schielzeth H; Department of Population Ecology, Institute of Ecology and Evolution, Friedrich Schiller University Jena, Jena, Germany.
  • Gruselius J; Science for Life Laboratory, Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden.
  • Ewels P; Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Solna, Sweden.
  • García JT; Instituto de Investigación en Recursos Cinegéticos (IREC), CSIC-UCLM-JCCM, Ciudad Real, Spain.
  • Shirihai H; Natural History Museum Bern, Bern, Switzerland.
  • Schweizer M; Natural History Museum Bern, Bern, Switzerland.
  • Suh A; Institute of Ecology and Evolution, University of Bern, Bern, Switzerland.
  • Burri R; Department of Organismal Biology - Systematic Biology, Evolutionary Biology Centre (EBC), Uppsala University, Uppsala, Sweden.
Mol Ecol Resour ; 20(5): 1311-1322, 2020 Sep.
Article in En | MEDLINE | ID: mdl-32419391
ABSTRACT
The feasibility to sequence entire genomes of virtually any organism provides unprecedented insights into the evolutionary history of populations and species. Nevertheless, many population genomic inferences - including the quantification and dating of admixture, introgression and demographic events, and inference of selective sweeps - are still limited by the lack of high-quality haplotype information. The newest generation of sequencing technology now promises significant progress. To establish the feasibility of haplotype-resolved genome resequencing at population scale, we investigated properties of linked-read sequencing data of songbirds of the genus Oenanthe across a range of sequencing depths. Our results based on the comparison of downsampled (25×, 20×, 15×, 10×, 7×, and 5×) with high-coverage data (46-68×) of seven bird genomes mapped to a reference suggest that phasing contiguities and accuracies adequate for most population genomic analyses can be reached already with moderate sequencing effort. At 15× coverage, phased haplotypes span about 90% of the genome assembly, with 50% and 90% of phased sequences located in phase blocks longer than 1.25-4.6 Mb (N50) and 0.27-0.72 Mb (N90). Phasing accuracy reaches beyond 99% starting from 15× coverage. Higher coverages yielded higher contiguities (up to about 7 Mb/1 Mb [N50/N90] at 25× coverage), but only marginally improved phasing accuracy. Phase block contiguity improved with input DNA molecule length; thus, higher-quality DNA may help keeping sequencing costs at bay. In conclusion, even for organisms with gigabase-sized genomes like birds, linked-read sequencing at moderate depth opens an affordable avenue towards haplotype-resolved genome resequencing at population scale.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Haplotypes / Songbirds / Genomics / Genetics, Population Limits: Animals Language: En Journal: Mol Ecol Resour Year: 2020 Document type: Article Affiliation country: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Haplotypes / Songbirds / Genomics / Genetics, Population Limits: Animals Language: En Journal: Mol Ecol Resour Year: 2020 Document type: Article Affiliation country: Germany