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| 豹纹鳃棘鲈抗哈维氏弧菌遗传参数分析 |
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瞿诗雨,卢昇,陈松林,刘洋,周茜,王磊,徐文腾,宋煜
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1.上海海洋大学水产与生命学院 上海 201306;2.海水养殖生物育种与可持续产出全国重点实验室
中国水产科学研究院黄海水产研究所 山东 青岛 266071;3.山东省海洋渔业生物技术与遗传育种重点实验室 山东 青岛 266071;4.山东省海洋渔业生物技术与遗传育种重点实验室 山东 青岛 266072;5.山东省海洋渔业生物技术与遗传育种重点实验室 山东 青岛 266073;6.山东省海洋渔业生物技术与遗传育种重点实验室 山东 青岛 266074;7.山东省海洋渔业生物技术与遗传育种重点实验室 山东 青岛 266075;8.山东省海洋渔业生物技术与遗传育种重点实验室 山东 青岛 266076;9.山东省海洋渔业生物技术与遗传育种重点实验室 山东 青岛 266077
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| 摘要: |
| 哈维氏弧菌(Vibrio harveyi)是引起豹纹鳃棘鲈(Plectropomus leopardus)患“烂身病”的主要致病菌，每年6―8月发病率极高，严重影响了该品种养殖业的可持续发展。因此，培育抗病良种是豹纹鳃棘鲈养殖业的迫切需求。为评估豹纹鳃棘鲈抗哈维氏弧菌遗传参数，本研究基于高密度单核苷酸多态性位点构建的基因组亲缘关系矩阵，使用4种模型(BLM、BTM、LLM和LTM)拟合了2种抗病表型(测试日性状，TDS；二元死亡存活性状，TS)，并用约束最大似然法(REML)估算方差组分。经分析，豹纹鳃棘鲈抗哈维氏弧菌遗传力为0.182~0.486，属中高遗传力性状，加性遗传方差为0.071~0.262。其中，利用线性模型(BLM和LLM)估算的遗传力分别为0.382和0.476，利用阈值模型(BTM和LTM)估算的遗传力分别为0.182和0.207。表明可以通过遗传选育提高豹纹鳃棘鲈抗弧菌能力。对不同模型估算的基因组估算育种值(GEBV)进行相关性分析，不同模型拟合同种抗病表型时，GEBV之间相关系数> 0.9，属于高强度正相关关系，表明使用同种表型定义时，阈值或线性模型对GEBV排名影响很小。对不同模型估算的GEBV与不同表型进行相关性分析的结果显示，纵向模型(LLM和LTM)估算的GEBV与表型TS之间的相关系数高于横截面模型(BLM和BTM)，说明表型TDS可能比表型TS更适合作为抗病表型。此外，在线性模型中，使用表型TDS和表型TS估算的GEBV之间的相关系数< 0.85，说明采用2种表型定义下估计的豹纹鳃棘鲈抗哈维弧菌GEBV排名不一致。但基于表型TDS估算的GEBV与表型TS之间的相关系数较强(0.824)，表明使用表型TDS和纵向模型(LLM)估算豹纹鳃棘鲈抗哈维氏弧菌遗传参数更有优势。本研究补充了豹纹鳃棘鲈抗哈维氏弧菌遗传参数研究，为豹纹鳃棘鲈抗哈维氏弧菌良种选育提供了参考。 |
| 关键词: 遗传参数 遗传力 豹纹鳃棘鲈 哈维氏弧菌 |
| DOI：10.19663/j.issn2095-9869.20230322003 |
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| Estimation of genetic parameters of survival against Vibrio harveyi in leopard coral grouper (Plectropomus leopardus) |
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QU Shiyu1,2, LU Sheng2,3, CHEN Songlin4,5, LIU Yang6,7, ZHOU Qian8,7, WANG Lei9,7, XU Wengteng10,7, SONG Yu11,7
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1.College of Fisheries and Life Science, Shanghai Ocean University, Shanghai 201306, China;2.State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute,
Chinese Academy of Fishery Sciences, Qingdao 266071, China;3.Shandong Key Laboratory of Marine Fisheries Biotechnology and Genetic Breeding, Qingdao 266071, China;4.State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute,
Chinese Academy of Fishery Sciences, Qingdao 266072, China;5.Shandong Key Laboratory of Marine Fisheries Biotechnology and Genetic Breeding, 㾀 ;6.State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute,
Chinese Academy of Fishery Sciences, Qingdao 266073, China;7.Shandong Key Laboratory of Marine Fisheries Biotechnology and Genetic Breeding, 䈴 䓰䀀䐥 娐ᢾ;8.State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute,
Chinese Academy of Fishery Sciences, Qingdao 266074, China;9.State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute,
Chinese Academy of Fishery Sciences, Qingdao 266075, China;10.State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute,
Chinese Academy of Fishery Sciences, Qingdao 266076, China;11.State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute,
Chinese Academy of Fishery Sciences, Qingdao 266077, China
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| Abstract: |
| The leopard coral grouper (Plectropomus leopardus) belongs to the family Epinephelinae, and genus Plectropomus. Vibrio harveyi is the main pathogen that causes "rot disease" in leopard coral grouper, which is a major threat to the sustainable development of its aquaculture industry. The disease is highly prevalent from June to August and severely affects aquaculture. Therefore, developing disease-resistant strains is a necessity. However, currently, artificial breeding techniques for leopard coral groupers cannot establish a family lineage through one-on-one artificial insemination, making traditional breeding methods that depend on a clear pedigree difficult. Considering the successful breeding of disease-resistant fish species with or without a pedigree, genome selection breeding technology are vital for cultivating disease-resistant leopard coral groupers.
In genetic selection, the genetic parameters of target traits are important reference factors for specifying breeding programs. To evaluate the genetic parameters of leopard coral grouper resistance to V. harveyi, we constructed a genome-relatedness matrix based on high-density single-nucleotide polymorphisms using four models (binary linear model [BLM], binary threshold model [BTM], longitudinal linear model [LLM], and linear threshold model [LTM]) to fit two disease-resistant phenotypes (test-day trait, TDS; Bivariate survival trait, TS), and used restricted maximum likelihood [REML] to estimate variance components. Our findings illustrated that the genetic heritability of leopard coral grouper resistance to V. harveyi ranged from 0.182 to 0.486, which belongs to the medium-to-high genetic heritability range. The additive genetic variance ranged from 0.071 to 0.262. The genetic heritability estimated by the linear model was 0.382 and 0.476, whereas that estimated by the threshold model was 0.182 and 0.207, respectively. These results suggest that leopard coral groupers resistance to V. harveyi can be improved through genetic breeding.
Herein, the linear models (BLM and LLM) obtained higher genetic heritability estimates and more accurate genomic estimated breeding value (GEBV) predictions than the threshold models (BTM and LTM). However, despite the model used, the correlation coefficient between the GEBV rankings under the same phenotype definition >0.9, indicating that their impact on the GEBV ranking was not significant. Compared to the cross-sectional models (BLM and BTM), numerous leopard coral grouper GEBVs were rearranged in the LLM results. There was a strong correlation between the LTM and phenotype (TS), indicating that LLM has an excellent prediction effect. Therefore, when breeding leopard coral groupers for V. harveyi-resistant traits, a LLM should be considered.
The study observed that using longitudinal models (LLM and LTM) to estimate genetic heritability produced higher results than the cross-sectional models (BLM and BTM), which may be due to the death time explaining different components of fish disease resistance. In longitudinal models, the genetic component influenced by the time of death is effectively harnessed. However, in cross-sectional models, this effect is inadvertently subsumed within the residuals. Consistent with the genetic heritability findings, the longitudinal models produced more precise GEBVs compared to cross-sectional models. Our results suggest that TDS might offer a more accurate measure for assessing the resistance of leopard coral groupers to V. harveyi than the TS.
Compared with the threshold models, linear models performed better in GEBV prediction, and higher genetic heritability estimates were obtained. Although, most previous studies on disease resistance traits have reported inconsistent genetic heritability estimates between threshold and linear models, some studies support these conclusions. This result may be due to differences in information processing between the different models, which leads to different results. In this study, the additive genetic variance obtained using threshold models (BTM and LTM) was 0.222–0.262, and additive genetic variance obtained using linear models (LLM and BLM) was 0.071–0.086. It is expected that the additive genetic variance obtained using threshold models was higher than that obtained using linear models. Furthermore, the residual variance resulting from fitting linear models was notably low. We posit that when threshold traits are erroneously treated as normally distributed data and linear models are employed for analysis, the residual variance may be underestimated. This underestimation is likely due to the model's underfitting, which consequently leads to an inflated heritability estimate for the linear model.
This study aimed to estimate the genetic parameters of leopard coral grouper resistance to V. harveyi using infection test data of leopard coral groupers injected with V. harveyi and to construct an individual genotype relationship matrix based on single-nucleotide polymorphisms. The genetic heritability of leopard coral grouper resistance to V. harveyi was estimated to be between 0.182 and 0.486 by comparing different models and phenotype definitions. The linear (0.382 and 0.476) and threshold models (0.182 and 0.207) were used to estimate genetic heritability. The estimated genetic heritability was within the medium genetic heritability range. Our findings were used to improve the target traits of leopard coral groupers, specifically their resistance to V. harveyi. This study supplements the genetic parameter estimation of leopard coral grouper resistance to V. harveyi and provides a reference for selecting V. harveyi-resistant leopard coral groupers for breeding. |
| Key words: Genetic parameter Heritability Plectropomus leopardus Vibrio harveyi |
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