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dc.contributor.authorKoseva, Boryana S.
dc.contributor.authorHackett, Jennifer L.
dc.contributor.authorZhou, Yihong
dc.contributor.authorHarris, Bethany R.
dc.contributor.authorKelly, John K.
dc.contributor.authorGreenfield, Michael D.
dc.contributor.authorGleason, Jennifer M.
dc.contributor.authorMacdonald, Stuart J.
dc.date.accessioned2020-11-19T14:51:12Z
dc.date.available2020-11-19T14:51:12Z
dc.date.issued2019-05-17
dc.identifier.citationKoseva, B. S., Hackett, J. L., Zhou, Y., Harris, B. R., Kelly, J. K., Greenfield, M. D., Gleason, J. M., & Macdonald, S. J. (2019). Quantitative Genetic Mapping and Genome Assembly in the Lesser Wax Moth Achroia grisella. G3 (Bethesda, Md.), 9(7), 2349–2361. https://doi.org/10.1534/g3.119.400090en_US
dc.identifier.urihttp://hdl.handle.net/1808/30879
dc.descriptionThis work is licensed under a Creative Commons Attribution 4.0 International License.en_US
dc.description.abstractSpecific characteristics of the male Achroia grisella acoustic mating signal determine a male’s attractiveness toward females. These features are genetically variable in populations, and mapping experiments have been used to identify loci contributing to song variation, and understand the evolutionary forces acting on this important sexual trait. Here we built on this foundation and carried out QTL (Quantitative Trait Locus) mapping using >1,000 recombinant individuals, genotyping this large cohort at thousands of sequence-based markers covering the entire collection of 30 A. grisella chromosomes. This dense marker set, coupled with our development of an annotated, draft genome of A. grisella, allowed us to link >3,000 genome scaffolds, >10,000 predicted genes, and close to 275Mb of genome sequence to chromosomes. Our QTL mapping confirmed a fraction of the QTL identified in a previous study, and additionally revealed novel loci. Collectively, QTL explained only small fractions of the phenotypic variance, suggesting many more causative factors remain below the detection threshold of our study. A surprising, and ultimately challenging feature of our study was the low level of intrachromosomal recombination present in our mapping population. This led to difficulty ordering markers along linkage groups, necessitating a chromosome-by-chromosome mapping approach, rather than true interval mapping, and precluded confident ordering/orienting of scaffolds along each chromosome. Nonetheless, our study increased the genomic resources available for the A. grisella system. Enabled by ever more powerful technologies, future investigators will be able to leverage our data to provide more detailed genetic dissection of male song variation in A. grisella.en_US
dc.description.sponsorshipNSF IOB-0516634en_US
dc.description.sponsorshipNIGMS award P20GM103638en_US
dc.description.sponsorshipNIGMS award P20GM103418en_US
dc.description.sponsorshipNIH R01 GM085260en_US
dc.description.sponsorshipNIH R01 OD010974en_US
dc.publisherGenetics Society of Americaen_US
dc.rightsCopyright © 2019 Koseva et al.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.subjectQTLen_US
dc.subjectMale songen_US
dc.subjectGenome assemblyen_US
dc.subjectGenotyping-by-sequencingen_US
dc.titleQuantitative Genetic Mapping and Genome Assembly in the Lesser Wax Moth Achroia grisellaen_US
dc.typeArticleen_US
kusw.kuauthorKoseva, Boryana S.
kusw.kuauthorHackett, Jennifer L.
kusw.kuauthorZhou, Yihong
kusw.kuauthorHarris, Bethany R.
kusw.kuauthorKelly, John K.
kusw.kuauthorGreenfield, Michael D.
kusw.kuauthorGleason, Jennifer M.
kusw.kuauthorMacdonald, Stuart J.
kusw.kudepartmentK-INBRE Bioinformatics Coreen_US
kusw.kudepartmentEcology and Evolutionary Biologyen_US
kusw.kudepartmentMolecular Biosciencesen_US
kusw.kudepartmentCenter for Computational Biologyen_US
dc.identifier.doi10.1534/g3.119.400090en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-0544-3404en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-9421-002Xen_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.identifier.pmidPMC6643890en_US
dc.rights.accessrightsopenAccessen_US


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Copyright © 2019 Koseva et al.
Except where otherwise noted, this item's license is described as: Copyright © 2019 Koseva et al.