Literature DB >> 15147390

A first-generation microsatellite linkage map of the Japanese quail.

B B Kayang1, A Vignal, M Inoue-Murayama, M Miwa, J L Monvoisin, S Ito, F Minvielle.   

Abstract

A linkage map of the Japanese quail (Coturnix japonica) genome was constructed based upon segregation analysis of 72 microsatellite loci in 433 F(2) progeny of 10 half-sib families obtained from a cross between two quail lines of different genetic origins. One line was selected for long duration of tonic immobility, a behavioural trait related to fearfulness, while the other was selected based on early egg production. Fifty-eight of the markers were resolved into 12 autosomal linkage groups and a Z chromosome-specific linkage group, while the remaining 14 markers were unlinked. The linkage groups range from 8 cM (two markers) to 206 cM (16 markers) and cover a total map distance of 576 cM with an average spacing of 10 cM between loci. Through comparative mapping with chicken (Gallus gallus) using orthologous markers, we were able to assign linkage groups CJA01, CJA02, CJA05, CJA06, CJA14 and CJA27 to chromosomes. This map, which is the first in quail based solely on microsatellites, is a major step towards the development of a quality molecular genetic map for this valuable species. It will provide an important framework for further genetic mapping and the identification of quantitative trait loci controlling egg production and fear-related behavioural traits in quail.

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Year:  2004        PMID: 15147390     DOI: 10.1111/j.1365-2052.2004.01135.x

Source DB:  PubMed          Journal:  Anim Genet        ISSN: 0268-9146            Impact factor:   3.169


  24 in total

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Journal:  Mol Biol Rep       Date:  2014-03-04       Impact factor: 2.316

2.  A molecular genome scan to identify DNA segments associated with live weight in Japanese quail.

Authors:  M Iranmanesh; A Esmailizadeh; M R Mohammad Abadi; Elmira Zand; M S Mokhtari; Dong-Dong Wu
Journal:  Mol Biol Rep       Date:  2016-08-25       Impact factor: 2.316

3.  Association of VIPR-1 gene polymorphisms and haplotypes with egg production in laying quails.

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Journal:  J Zhejiang Univ Sci B       Date:  2016-08       Impact factor: 3.066

4.  Identification of QTL for live weight and growth rate using DNA markers on chromosome 3 in an F2 population of Japanese quail.

Authors:  R Jabbari Ori; A K Esmailizadeh; H Charati; M R Mohammadabadi; S S Sohrabi
Journal:  Mol Biol Rep       Date:  2014-01-03       Impact factor: 2.316

5.  Molecular phylogeny of some avian species using Cytochrome b gene sequence analysis.

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6.  Linkage mapping reveals sex-dimorphic map distances in a passerine bird.

Authors:  Bengt Hansson; Mikael Akesson; Jon Slate; Josephine M Pemberton
Journal:  Proc Biol Sci       Date:  2005-11-07       Impact factor: 5.349

7.  Sex-specific recombination maps for individual macrochromosomes in the Japanese quail (Coturnix japonica).

Authors:  Lucía Del Priore; María Inés Pigozzi
Journal:  Chromosome Res       Date:  2015-01-18       Impact factor: 5.239

8.  A gene-based genetic linkage map of the collared flycatcher (Ficedula albicollis) reveals extensive synteny and gene-order conservation during 100 million years of avian evolution.

Authors:  Niclas Backström; Nikoletta Karaiskou; Erica H Leder; Lars Gustafsson; Craig R Primmer; Anna Qvarnström; Hans Ellegren
Journal:  Genetics       Date:  2008-06-18       Impact factor: 4.562

9.  Quantitative trait loci for growth-related traits in Japanese quail (Coturnix japonica) using restriction-site associated DNA sequencing.

Authors:  Mohammad Ibrahim Haqani; Shigeru Nomura; Michiharu Nakano; Tatsuhiko Goto; Atsushi J Nagano; Atsushi Takenouchi; Yoshiaki Nakamura; Akira Ishikawa; Masaoki Tsudzuki
Journal:  Mol Genet Genomics       Date:  2021-07-12       Impact factor: 3.291

10.  A first-generation microsatellite-based genetic linkage map of the Siberian jay (Perisoreus infaustus): insights into avian genome evolution.

Authors:  Sonja Jaari; Meng-Hua Li; Juha Merilä
Journal:  BMC Genomics       Date:  2009-01-03       Impact factor: 3.969

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