5 Works

Data from: Ontogenetic stage-specific quantitative trait loci contribute to divergence in developmental trajectories of sexually dimorphic fins between medaka populations

Maiko Kawajiri, Kohta Yoshida, Shingo Fujimoto, Daniel Frikli Mokodongan, Mark Ravinet, Mark Kirkpatrick, Kazunori Yamahira & Jun Kitano
Sexual dimorphism can evolve when males and females differ in phenotypic optima. Genetic constraints can, however, limit the evolution of sexual dimorphism. One possible constraint is derived from alleles expressed in both sexes. Because males and females share most of their genome, shared alleles with different fitness effects between sexes are faced with intralocus sexual conflict. Another potential constraint is derived from genetic correlations between developmental stages. Sexually dimorphic traits are often favoured at adult...

Data from: Sex chromosome turnover contributes to genomic divergence between incipient stickleback species

Kohta Yoshida, Takashi Makino, Katsushi Yamaguchi, Shuji Shigenobu, Mitsuyasu Hasebe, Masakado Kawata, Manabu Kume, Seiichi Mori, Catherine L. Peichel, Atsushi Toyoda, Asao Fujiyama & Jun Kitano
Sex chromosomes turn over rapidly in some taxonomic groups, where closely related species have different sex chromosomes. Although there are many examples of sex chromosome turnover, we know little about the functional roles of sex chromosome turnover in phenotypic diversification and genomic evolution. The sympatric pair of Japanese threespine stickleback (Gasterosteus aculeatus) provides an excellent system to address these questions: the Japan Sea species has a neo-sex chromosome system resulting from a fusion between an...

Data from: Segregation of a QTL cluster for home-cage activity using a new mapping method based on regression analysis of congenic mouse strains

Tsuyoshi Koide, Shogo Kato, Ayako Ishii, Akinori Nishi & Satoshi Kuriki
Recent genetic studies have shown that genetic loci with significant effects in whole-genome quantitative trait loci (QTL) analyses were lost or weakened in congenic strains. Characterisation of the genetic basis of this attenuated QTL effect is important to our understanding of the genetic mechanisms of complex traits. We previously found that a consomic strain, B6-Chr6CMSM, which carries chromosome 6 of a wild-derived strain MSM/Ms on the genetic background of C57BL/6J, exhibited lower home-cage activity than...

Data from: Microsatellite marker development by multiplex Ion Torrent PGM sequencing: a case study of the endangered Odorrana narina complex of frogs

Takeshi Igawa, Masafumi Nozawa, Mai Nagaoka, Shohei Komaki, Shohei Oumi, Tamotsu Fujii & Masayuki Sumida
The endangered Ryukyu tip-nosed frog Odorrana narina and its related species, Odorrana amamiensis, Odorrana supranarina, and Odorrana utsunomiyaorum, belong to the family Ranidae and are endemically distributed in Okinawa (O. narina), Amami and Tokunoshima (O. amamiensis), and Ishigaki and Iriomote (O. supranarina and O. utsunomiyaorum) Islands. Because of varying distribution patterns, this species complex is an intrinsic model for speciation and adaptation. For effective conservation and molecular ecological studies, further genetic information is needed. For...

Data from: Comparative analysis of Japanese three-spined stickleback clades reveals the Pacific Ocean lineage has adapted to freshwater environments while the Japan Sea has not

Mark Ravinet, Naoko Takeuchi, Manabu Kume, Seiichi Mori & Jun Kitano
Divergent selection and adaptive divergence can increase phenotypic diversification amongst populations and lineages. Yet adaptive divergence between different environments, habitats or niches does not occur in all lineages. For example, the colonization of freshwater environments by ancestral marine species has triggered adaptive radiation and phenotypic diversification in some taxa but not in others. Studying closely related lineages differing in their ability to diversify is an excellent means of understanding the factors promoting and constraining adaptive...

Registration Year

  • 2014
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Resource Types

  • Dataset
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Affiliations

  • National Institute of Genetics
    5
  • Prefectural University of Hiroshima
    1
  • Gifu Kyoritsu University
    1
  • Fred Hutchinson Cancer Research Center
    1
  • The University of Texas at Austin
    1
  • Tohoku University
    1
  • University of the Ryukyus
    1
  • The Institute of Statistical Mathematics
    1
  • Hiroshima University
    1
  • National Institute for Basic Biology
    1