Miyumo Sophie, Wasike Chrilukovian B, Ilatsia Evans D, Bennewitz Jörn, Chagunda Mizeck G
Department of Animal Breeding and Husbandry in the Tropics and Sub-tropics, University of Hohenheim, Stuttgart, Germany.
Livestock Efficiency Enhancement group (LEEG), Department of Animal and Fisheries Sciences, Maseno University, Maseno, Kenya.
J Anim Breed Genet. 2023 Jan;140(1):106-120. doi: 10.1111/jbg.12738. Epub 2022 Sep 7.
This study aimed at investigating the influence of genetic and non-genetic factors on immune traits to inform on possibilities of genetic improvement of disease resistance traits in local chicken of Kenya. Immune traits such as natural and specific antibodies are considered suitable indicators of an individual's health status and consequently, used as indicator traits of disease resistance. In this study, natural antibodies binding to Keyhole Limpet Hemocyanin (KLH-NAbs) was used to measure general disease resistance. Specific antibodies binding to Newcastle disease virus (NDV-IgG) post vaccination was used to measure specific disease resistance. Titers of KLH-NAbs isotypes (KLH-IgM, KLH-IgG and KLH-IgA) and NDV-IgG were measured in 1,540 chickens of different ages ranging from 12 to 56 weeks. A general linear model was fitted to determine the effect of sex, generation, population type, phylogenetic cluster, line, genotype and age on the antibody traits. A multivariate animal mixed model was fitted to estimate heritability and genetic correlations among the antibody traits. The model constituted of non-genetic factors found to have a significant influence on the antibody traits as fixed effects, and animal and residual effects as random variables. Overall mean (±SE) concentration levels for KLH-IgM, KLH-IgG, KLH-IgA and NDV-IgG were 10.33 ± 0.04, 9.08 ± 0.02, 6.00 ± 0.02 and 10.12 ± 0.03, respectively. Sex, generation and age (linear covariate) significantly (p < 0.05) influenced variation across all the antibody traits. Genotype effects (p < 0.05) were present in all antibody traits, apart from KLH-IgA. Interaction between generation and line was significant (p < 0.05) in KLH-IgM and NDV-IgG while nesting phylogenetic cluster within population significantly (p < 0.05) influenced all antibody traits, apart from KLH-IgA. Heritability estimates for KLH-IgM, KLH-IgG, KLH-IgA and NDV-IgG were 0.28 ± 0.08, 0.14 ± 0.06, 0.07 ± 0.04 and 0.31 ± 0.06, respectively. There were positive genetic correlations (0.40-0.61) among the KLH-NAbs while negative genetic correlations (-0.26 to -0.98) were observed between the KLH-NAbs and NDV-IgG. Results from this study indicate that non-genetic effects due to biological and environmental factors influence natural and specific antibodies and should be accounted for to reduce bias and improve accuracy when evaluating the traits. Subsequently, the moderate heritability estimates in KLH-IgM and NDV-IgG suggest selection possibilities for genetic improvement of general and specific immunity, respectively, and consequently disease resistance. However, the negative correlations between KLH-NAbs and NDV-IgG indicate the need to consider a suitable approach that can optimally combine both traits in a multiple trait selection strategies.
本研究旨在调查遗传和非遗传因素对免疫性状的影响,为肯尼亚本地鸡抗病性状的遗传改良可能性提供信息。诸如天然抗体和特异性抗体等免疫性状被认为是个体健康状况的合适指标,因此用作抗病性的指标性状。在本研究中,与钥孔血蓝蛋白结合的天然抗体(KLH-NAbs)用于测量一般抗病性。接种疫苗后与新城疫病毒结合的特异性抗体(NDV-IgG)用于测量特异性抗病性。在1540只年龄从12周到56周不等的不同年龄的鸡中测量了KLH-NAbs同种型(KLH-IgM、KLH-IgG和KLH-IgA)和NDV-IgG的滴度。拟合一个一般线性模型来确定性别、世代、种群类型、系统发育簇、品系、基因型和年龄对抗体性状的影响。拟合一个多变量动物混合模型来估计抗体性状之间的遗传力和遗传相关性。该模型由发现对抗体性状有显著影响的非遗传因素作为固定效应,以及动物和残差效应作为随机变量组成。KLH-IgM、KLH-IgG、KLH-IgA和NDV-IgG的总体平均(±SE)浓度水平分别为10.3±0.04、9.08±0.02、6.00±0.02和10.12±0.03。性别、世代和年龄(线性协变量)对所有抗体性状的变异有显著(p<0.05)影响。除KLH-IgA外,所有抗体性状均存在基因型效应(p<0.05)。世代和品系之间的相互作用在KLH-IgM和NDV-IgG中显著(p<0.05),而在种群中嵌套系统发育簇对除KLH-IgA外的所有抗体性状有显著(p<0.05)影响。KLH-IgM、KLH-IgG、KLH-IgA和NDV-IgG的遗传力估计值分别为0.28±0.08、0.14±0.06、0.07±0.04和0.