Novel insights into the genetic relationship between growth and disease resistance in Pacific salmon
Novel insights into the genetic relationship between growth and disease resistance in Pacific salmon
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对太平洋鲑鱼生长和抗病性之间遗传关系的新见解
DOI：
10.1101/455196
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Barría A
中科院分区：
文献类型：
--
作者：
Barría A
抗病育种已成为减轻水产养殖中传染病问题的一种非常可取的策略。然而，抗性和其他经济上重要的性状（如生长）之间的遗传关系的知识，是重要的评估之前，包括抗病育种目标。我们的研究在一个大型细菌感染挑战实验中评估了生长和存活性状之间的遗传相关性。来自107个全同胞家庭的2606个银鲑个体的群体用细菌Piscirickettsia salmonis进行挑战。将生长测量为实验感染之前（ADG。）和期间（ADGi）的平均日增重以及收获重量（HW）。抗性以存活时间（ST）和二元存活（BS）来测量。此外，细菌负荷（BL）的个别措施进行了评估，作为新的耐药表型，并提供了一个指标的遗传变异的鲑鱼物种的耐受性。抗性家系的细菌负荷低于感病家系。鲑鱼此外，一些属于抗性家族的存活鱼被认为是无菌的，因为它们的细菌载量低于检测阈值。将logBL作为协变量加入到感染下生长和存活模型中，表明耐受性存在显著的遗传变异，ADG 0（0.30 ± 0.05）、HW（0.38 ± 0.03）、存活性状ST（0.16 ± 0.03）和BS（0.18 ± 0.03）的遗传力均达到显著的中等水平。相比之下，ADGi和对数转换BL的遗传力较低（分别为0.07 ± 0.02（显著）和0.04 ± 0.03），尽管当仅在幸存者中评估性状时，这些遗传力增加至中度显著水平（分别为0.20 ± 0.09和0.12 ± 0.05）。ADG 0和ADGi之间存在显著的遗传相关（0.40 ± 0.16）、HW（0.64 ± 0.09）、ST（0.43 ± 0.18），表明在感染早期和感染前具有较高遗传生长率的鱼不仅倾向于保持其遗传生长优势直到收获，而且在感染期间倾向于生长更快，存活更长。虽然发现HW和ST之间存在显著的不利相关性（-0.50 ± 0.13），但仅使用非幸存者的未删失数据，该值降至-0.35 ± 0.20。同样，ADG 0和LogBL之间，或ADG 0和本研究中考虑的任何其他性状之间，也没有发现强烈的不利遗传相关性。这些结果表明，在目前的银鲑种群中，早期生长的选择性育种有望同时增加Piscirickettsia salmonis感染期间的存活时间和生长性能，而不会对病原体负担产生负面影响。
Breeding for disease resistance has become a highly desirable strategy for mitigating infectious disease problems in aquaculture. However, knowledge of the genetic relationship between resistance and other economically important traits, such as growth, is important to assess prior to including disease resistance into the breeding goal. Our study assessed the genetic correlations between growth and survival traits in a large bacterial infection challenge experiment. A population of 2606 coho salmon individuals from 107 full-sibling families were challenged with the bacteriaPiscirickettsia salmonis. Growth was measured as average daily gain prior (ADG0) and during (ADGi) the experimental infection and as harvest weight (HW). Resistance was measured as Survival time (ST) and binary survival (BS). Furthermore, individual measures of bacterial load (BL) were assessed as new resistance phenotypes and to provide an indication of genetic variation in tolerance in salmonid species. Resistant families showed lower bacterial load than those susceptible toP. salmonis. Furthermore, some surviving fish belonging to resistant families, were considered as bacterial-free because their bacterial load was below the detection threshold. Adding logBL as a covariate into the models for growth under infection and survival indicated significant genetic variation in tolerance.Significant moderate heritabilities were estimated for ADG0 (0.30 ± 0.05), HW (0.38 ± 0.03), and for the survival traits ST (0.16 ± 0.03) and BS (0.18 ± 0.03). In contrast, heritabilities for ADGi and log-transformed BL were low (0.07 ± 0.02 (significant) and 0.04 ± 0.03, respectively), although these increased to moderate significant levels (0.20 ± 0.09 and 0.12 ± 0.05, respectively) when traits were assessed in survivors only. Significant favorable genetic correlations were found between ADG0 and ADGi (0.40 ± 0.16), HW (0.64 ± 0.09), and with resistance as ST (0.43 ± 0.18), indicating that fish with higher genetic growth rate early on and prior to infection not only tend to maintain their genetic growth advantage until harvest, but also tend to grow faster and survive longer during infection. Although a significant unfavorable correlation (−0.50 ± 0.13) between HW and ST was found, this value decreased to −0.35 ± 0.20 using uncensored data from non-survivors only. Similarly, no robust unfavorable genetic correlations between ADG0 and LogBL, or ADG0 and any of the other traits considered in this study, was identified. These results suggest that selective breeding for early growth, in the current coho salmon population, would be expected to simultaneously increase survival time and growth performance during an infection withPiscirickettsia salmonis, without negatively impacting on pathogen burden.
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影响因子：
4.4
作者：
Correa K;Lhorente JP;López ME;Bassini L;Naswa S;Deeb N;Di Genova A;Maass A;Davidson WS;Yáñez JM
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影响因子：
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作者：
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作者：
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影响因子：
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作者：
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