USDA/ARS National Center for Cool and Cold Water Aquaculture, 11861 Leetown Road, Kearneysville, WV 25430, USA.
Mar Biotechnol (NY). 2013 Oct;15(5):613-27. doi: 10.1007/s10126-013-9512-5. Epub 2013 May 25.
Selective breeding programs for salmonids typically aim to improve traits associated with growth and disease resistance. It has been established that stressors common to production environments can adversely affect these and other traits which are important to producers and consumers. Previously, we employed phenotypic selection to create families that exhibit high or low plasma cortisol concentrations in response to crowding stress. Subsequent crosses of high × low phenotypes founded a multigenerational breeding scheme with the aim of dissecting the genetic basis for variation underlying stress response through the identification of quantitative trait loci (QTL). Multiple methods of QTL analyses differing in their assumptions of homozygosity of the causal alleles in the grandparental generation yielded similar results in the F1 generation, and the analysis of two stress response phenotype measurement indexes were highly correlated. In the current study, we conducted a genome scan with microsatellites to detect QTL in the F2 generation of two families created through phenotypic selection and having larger numbers of offspring than families screened in the previous generation. Seven suggestive and three significant QTL were detected, seven of which were not previously detected in the National Center for Cool and Cold Water Aquaculture germplasm, bringing the total number of chromosomes containing significant and suggestive stress response QTL to 4 and 15, respectively. One significant QTL which peaks at 7 cM on chromosome Omy12 spans 12 cM and explains 25 % of the phenotypic variance in family 2008052 particularly warrants further investigation. Five QTL with significant parent-of-origin effects were detected in family 2008052, including two QTL on Omy12. The 95 % confidence intervals for the remaining QTL we detected were broad, requiring validation and fine mapping with other genotyping approaches and mapping strategies. These results will facilitate identification of potential casual alleles that can be employed in strategies aimed at better understanding the genetic and physiological basis of stress responses to crowding in rainbow trout aquaculture production.
选择育种计划鲑鱼通常旨在提高与生长和疾病抗性相关的性状。已经确定,生产环境中的应激源可以对这些和其他对生产者和消费者很重要的性状产生不利影响。以前,我们采用表型选择来创建对拥挤应激表现出高或低血浆皮质醇浓度的家系。高×低表型的后续杂交创立了一个多世代的育种计划,旨在通过鉴定数量性状基因座(QTL)来剖析应激反应下遗传变异的基础。在 F1 代中,多种 QTL 分析方法得出了相似的结果,这些方法在其假设的祖先代中因果等位基因的纯合性方面有所不同,并且对两个应激反应表型测量指标的分析高度相关。在当前的研究中,我们通过表型选择创建的两个家系的 F2 代进行了微卫星基因组扫描,以检测 QTL,这些家系的后代数量比前一代筛选的家系多。检测到七个提示性和三个显著 QTL,其中七个 QTL 在国家冷水和冷水养殖种质资源中心未被检测到,使包含显著和提示性应激反应 QTL 的染色体总数分别达到 4 个和 15 个。一个在 Omy12 染色体上 7 cM 处达到峰值的显著 QTL 跨越 12 cM,解释了家系 2008052 中 25%的表型方差,特别是值得进一步研究。在 2008052 家系中检测到五个具有显著母本来源效应的 QTL,其中包括两个在 Omy12 上的 QTL。我们检测到的剩余 QTL 的 95%置信区间较宽,需要使用其他基因分型方法和映射策略进行验证和精细映射。这些结果将有助于鉴定潜在的偶然等位基因,这些等位基因可用于旨在更好地理解虹鳟鱼养殖生产中拥挤应激的遗传和生理基础的策略。