4.4 Article

Major quantitative trait loci affect resistance to infectious pancreatic necrosis in Atlantic salmon (Salmo salar)

期刊

GENETICS
卷 178, 期 2, 页码 1109-1115

出版社

GENETICS
DOI: 10.1534/genetics.107.082974

关键词

-

资金

  1. BBSRC [BB/F001959/1, BB/F002750/2, BBS/E/R/00001604] Funding Source: UKRI
  2. Biotechnology and Biological Sciences Research Council [BB/F001959/1, BB/C516460/1, BB/F002750/2] Funding Source: researchfish
  3. Biotechnology and Biological Sciences Research Council [BB/F002750/2, BBS/E/R/00001604, BB/C516460/1, BB/F001959/1] Funding Source: Medline

向作者/读者索取更多资源

Infectious pancreatic necrosis (IPN) is a viral disease currently presenting a major problem in the production of Atlantic salmon (Salmon salar). IPN can cause significant mortality to salmon fry within freshwater hatcheries and to smolts following transfer to seawater, although challenged populations show clear genetic variation in resistance. To determine whether this genetic variation includes loci of major effect, a genomeowide quantitative trait loci (QTL) scan was performed within 10 full-sib families that had received a natural seawater IPN challenge. To utilize the large difference between Atlantic salmon male and female recombination rates, a two-stage mapping strategy was employed. Initially, a sire-based QTL analysis was used to detect linkage groups with significant effects on IPN resistance, using two to three microsatellite markers per linkage group. A dam-based analysis with additional markers was then used to confirm and position any detected QTL. Two genomewide significant QTL and one suggestive QTL were detected in the genome scan. The most significant QTL was mapped to linkage group 21 and was significant at the genomewide level in both the sire and the dam-based analyses. The identified QTL can be applied in marker-assisted selection programs to improve the resistance of salmon to IPN and reduce disease-related mortality.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据