Phenotypic and genetic variation in the response of chickens to Eimeria tenella induced coccidiosis.

Phenotypic and genetic variation in the response of chickens to Eimeria tenella induced coccidiosis.
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DOI:
10.1186/s12711-018-0433-7
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发表时间:
2018-11-21
期刊:
Genetics, selection, evolution : GSE
影响因子:
--
通讯作者:
Hume DA
Hume DA
中科院分区:
其他
文献类型:
--
作者:
Boulton K;Nolan MJ;Wu Z;Psifidi A;Riggio V;Harman K;Bishop SC;Kaiser P;Abrahamsen MS;Hawken R;Watson KA;Tomley FM;Blake DP;Hume DA

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球虫病是家禽生产损失的主要原因。由于饲料中预防性抗球虫药物的使用受到新的限制,有效疫苗的成本相对较高,因此有商业激励措施培育对这一重要生产疾病具有更强抵抗力的鸡。为了确定与球虫病对生产的影响相关的表型生物标志物,并评估它们的协方差和遗传力,对942只Cobb500商业肉鸡进行了柔嫩艾美耳球虫(Houghton)的明确挑战。测量了三个指标:感染期间的体重增加(WG),死后盲肠病变评分(CLS),以及在感染高峰期测量肠道炎症的血清生物标志物-循环白细胞介素10(IL-10)的水平。对攻毒鸡群的表型分析表明,CLS与IL-10呈显著正相关,与WG呈显著负相关。对测量性状之间的表型协方差进行特征分析,发现了三个不同的特征向量。第一个特征向量(EV1,特征值 = 59%)的性状权重被生物学解释为代表了易受感染的禽类的反应,具有低WG,高CLS和高IL-10的特点。类似地,第二个特征向量代表抗侵染能力/抗性(EV2,22%;高WG,低CLS和高IL-10)和第三个特征载体耐受性(EV3,19%;高WG,高CLS和低IL-10)。全基因组关联研究发现了两个与WG相关的SNPs。特征分析将确定的柔嫩艾美耳球虫攻击对WG、盲肠炎症/病理和IL-10产生的表型影响分为三个主要特征向量,表明敏感性-抵抗轴不是单一的连续数量性状。GWAS发现的体重SNPs位于两个与先天免疫有关的基因(FAM96B和RRAD)附近。本文的在线版本(10.1186/s12711-0180433-7)包含向授权用户提供的补充材料。
Coccidiosis is a major contributor to losses in poultry production. With emerging constraints on the use of in-feed prophylactic anticoccidial drugs and the relatively high costs of effective vaccines, there are commercial incentives to breed chickens with greater resistance to this important production disease. To identify phenotypic biomarkers that are associated with the production impacts of coccidiosis, and to assess their covariance and heritability, 942 Cobb500 commercial broilers were subjected to a defined challenge with Eimeria tenella (Houghton). Three traits were measured: weight gain (WG) during the period of infection, caecal lesion score (CLS) post mortem, and the level of a serum biomarker of intestinal inflammation, i.e. circulating interleukin 10 (IL-10), measured at the height of the infection. Phenotypic analysis of the challenged chicken cohort revealed a significant positive correlation between CLS and IL-10, with significant negative correlations of both these traits with WG. Eigenanalysis of phenotypic covariances between measured traits revealed three distinct eigenvectors. Trait weightings of the first eigenvector, (EV1, eigenvalue = 59%), were biologically interpreted as representing a response of birds that were susceptible to infection, with low WG, high CLS and high IL-10. Similarly, the second eigenvector represented infection resilience/resistance (EV2, 22%; high WG, low CLS and high IL-10), and the third eigenvector tolerance (EV3, 19%; high WG, high CLS and low IL-10), respectively. Genome-wide association studies (GWAS) identified two SNPs that were associated with WG at the suggestive level. Eigenanalysis separated the phenotypic impact of a defined challenge with E. tenella on WG, caecal inflammation/pathology, and production of IL-10 into three major eigenvectors, indicating that the susceptibility-resistance axis is not a single continuous quantitative trait. The SNPs identified by the GWAS for body weight were located in close proximity to two genes that are involved in innate immunity (FAM96B and RRAD). The online version of this article (10.1186/s12711-018-0433-7) contains supplementary material, which is available to authorized users.
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