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Quantitative Genetic Mapping and Genome Assembly in the Lesser Wax Moth Achroia grisella.
Koseva, Boryana S; Hackett, Jennifer L; Zhou, Yihong; Harris, Bethany R; Kelly, John K; Greenfield, Michael D; Gleason, Jennifer M; Macdonald, Stuart J.
Afiliação
  • Koseva BS; K-INBRE Bioinformatics Core, University of Kansas, Lawrence, Kansas 66045.
  • Hackett JL; Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, Kansas 66045.
  • Zhou Y; Department of Molecular Biosciences, University of Kansas, Lawrence, Kansas 66045.
  • Harris BR; Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, Kansas 66045.
  • Kelly JK; Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, Kansas 66045.
  • Greenfield MD; Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, Kansas 66045.
  • Gleason JM; Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, Kansas 66045.
  • Macdonald SJ; Equipe Neuro-Ethologie Sensorielle, ENES/Neuro-PSI, CNRS UMR 9197, Université de Lyon/Saint-Etienne, 42023 Saint Etienne, France.
G3 (Bethesda) ; 9(7): 2349-2361, 2019 07 09.
Article em En | MEDLINE | ID: mdl-31101652
ABSTRACT
Specific 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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mapeamento Cromossômico / Genoma / Genômica / Mariposas Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mapeamento Cromossômico / Genoma / Genômica / Mariposas Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2019 Tipo de documento: Article