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Designed hybrids facilitate efficient generation of high-resolution linkage maps

Kazutoshi Yoshitake, Yoji Igarashi, Misaki Mizukoshi, Shigeharu Kinoshita, Susumu Mitsuyama, Yutaka Suzuki, Kazuyoshi Saito, Shugo Watabe, Shuichi Asakawa
doi: https://doi.org/10.1101/243451
Kazutoshi Yoshitake
The University of Tokyo;
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Yoji Igarashi
The University of Tokyo;
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Misaki Mizukoshi
The University of Tokyo;
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Shigeharu Kinoshita
The University of Tokyo;
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Susumu Mitsuyama
The University of Tokyo;
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Yutaka Suzuki
The University of Tokyo;
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Kazuyoshi Saito
Akita Prefectural Institute of Fisheries;
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Shugo Watabe
Kitasato University
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Shuichi Asakawa
The University of Tokyo;
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  • For correspondence: asakawa@mail.ecc.u-tokyo.ac.jp
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Abstract

In sequencing eukaryotic genomes, linkage maps are indispensable for building scaffolds with which to assemble and/or to validate chromosomes. However, current approaches to construct linkage maps are limited by marker density and cost-effectiveness, especially for wild organisms. We have now devised a new strategy based on artificially generated hybrid organisms to acquire ultra high-density genomic markers at lower cost and build highly accurate linkage maps. Using this method, linkage maps and draft sequences for two species of pufferfish were obtained simultaneously. We anticipate that the method will accelerate genomic analysis of sexually reproducing organisms.

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The copyright holder for this preprint is the author/funder. It is made available under a CC-BY-ND 4.0 International license.
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  • Posted January 5, 2018.

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Designed hybrids facilitate efficient generation of high-resolution linkage maps
Kazutoshi Yoshitake, Yoji Igarashi, Misaki Mizukoshi, Shigeharu Kinoshita, Susumu Mitsuyama, Yutaka Suzuki, Kazuyoshi Saito, Shugo Watabe, Shuichi Asakawa
bioRxiv 243451; doi: https://doi.org/10.1101/243451
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Designed hybrids facilitate efficient generation of high-resolution linkage maps
Kazutoshi Yoshitake, Yoji Igarashi, Misaki Mizukoshi, Shigeharu Kinoshita, Susumu Mitsuyama, Yutaka Suzuki, Kazuyoshi Saito, Shugo Watabe, Shuichi Asakawa
bioRxiv 243451; doi: https://doi.org/10.1101/243451

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