The influence of selective breeding on MHC diversity.
The influence of selective breeding on MHC diversity.
批准号:
BB/L004070/1
负责人:
Louise Matthews
金额:
$56.23万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2014
资助国家:
英国
项目状态:
已结题
起止时间:
2014 至 --
中文摘要
个体对疾病的易感性不同,大部分变异源于遗传。个体所有基因的集合被称为基因组。基因组的许多不同区域影响对疾病的易感性。最重要的遗传区域之一是主要组织相容性复合体(MHC)。这一区域包含决定免疫系统如何识别和应对致病外来生物的基因。动物饲养者希望识别具有基因抗性的动物,并利用这些个体来繁殖对疾病具有更强抵抗力的后代。这是困难的,但如果我们可以使用MHC,可能会变得更容易。进化已经在MHC产生了一系列不同的遗传变异,我们想要管理这种多样性,以优化牲畜种群的抗病能力。这项建议的目的是以绵羊寄生虫感染为测试系统,识别维持MHC变异的选择性作用力。寄生虫是家畜的一种重要疾病。绵羊的感染和疾病过程是所有疾病中最被了解的疾病之一。我们已经知道MHC在对蛔虫的抗性中起着重要的作用,因此该系统是研究MHC变异如何影响疾病抵抗力的理想方法。我们计划量化维持MHC高变异的选择性作用力。我们将使用对蛔虫感染具有高水平抵抗力的绵羊种群。我们将使用先进的统计程序来比较不同MHC基因的个体对蛔虫的抵抗力,这些程序消除了所有背景变异,并测试不同MHC等位基因的个体之间的差异是否可能是偶然出现的。我们已经对苏格兰人群进行了测试,并知道其中涉及两种不同的影响。基因之间存在差异。此外,大多数个体有两个不同的基因,但有些人继承了两个相同的副本。拥有两个不同基因的个体比拥有相同基因的两个相同拷贝的个体更具抵抗力。我们想要扩展这一分析。我们预测,一些拥有两个不同拷贝(例如A和B)的个体将比拥有另一组两个基因(例如C和D)的个体更具抵抗力。特别是,拥有一对相似基因的个体识别的寄生虫分子将比具有一对不同基因的个体识别的寄生虫分子更少。识别更多寄生虫分子的个体对感染的抵抗力更强。然后我们计划研究抗病和生产特征的选择性育种对MHC多样性的影响。有许多不同的方法来衡量多样性,但我们计划使用最近开发的一种方法,该方法使用一个数学公式将许多不同的衡量标准聚合到一个单一的多样性概况中。我们预测,总的来说,不会因为对线虫的抗性选择以及肉类和羊毛产量的增加而显著丧失MHC的多样性。由于拥有两个不同等位基因的个体更具抗性,选择有望保持多样性。特别是,我们预计杂合子的频率将保持不变,我们预计选择将通过偏爱差异等位基因来增加多样性。最后,我们将对选择过程进行数学建模,以再现选择对MHC多样性的影响。一旦我们了解了选择如何影响MHC多样性,以及MHC多样性如何影响抗病能力,我们就可以创建选择方案,以优化MHC对抗病的贡献。
英文摘要
Individuals differ in susceptibility to disease and much of the variation is genetic in origin. The collection of all the genes in an individual is known as the genome. Many different regions of the genome influence susceptibility to disease. One of the most important genetic regions is the major histocompatibility complex (MHC). This region contains genes that determine how the immune system recognises and responds to disease-causing foreign organisms.Animal breeders want to identify genetically resistant animals and use these individuals to produce offspring with enhanced resistance to disease. This is difficult but could become easier if we could use the MHC. Evolution has produced a wide range of different genetic variants at the MHC and we want to manage this diversity to optimise disease resistance in livestock populations.The purpose of this proposal is to identify the selective forces that maintain variation at the MHC using infection with parasitic roundworms in sheep as our test system. Parasitic roundworms are an important disease of livestock. The infection and disease process in sheep is one of the best understood of all diseases. We already know that the MHC plays an important role in resistance to roundworms and this system is therefore ideal to study how MHC variation influences resistance to disease.We plan to quantify the selective forces that maintain the high variation at the MHC. We will use a population of sheep that has been selected for high levels of resistance to roundworm infections. We will compare the resistance to roundworms of individuals with different MHC genes using advanced statistical programs that remove all background variation and test whether the differences between individuals with different MHC alleles could have arisen by chance. We have already tested a Scottish population and know that there are two different effects involved. There are differences among genes. In addition most individuals have two different genes but some inherit two identical copies. Individuals with two different genes are more resistant than individuals with two identical copies of the same gene. We want to extend this analysis. We predict that some individuals with two different copies (say A and B) will be more resistant than individuals with another set of two genes (say C and D). In particular, an individual with a pair of similar genes will recognise fewer parasite molecules than an individual with a pair of dissimilar genes. Individuals that recognise more parasite molecules will more resistant to infection.We then plan to examine the influence on MHC diversity of the selective breeding for disease resistance and production traits. There are many different ways to measure diversity but we plan to use a recently developed method that uses a mathematical formula to aggregate many different measures into a single diversity profile. We predict that overall, there will be no marked loss of MHC diversity as a consequence of selection for resistance to nematodes as well as increased meat and wool production. As individuals with two different alleles are more resistant, selection is expected to maintain diversity. In particular, we expect the frequency of heterozygotes to be maintained and we expect selection to increase diversity by favouring divergent alleles.Finally we will mathematically model the process of selection to reproduce the effect of selection on MHC diversity. Once we understand how selection affects MHC diversity and how MHC diversity affects disease resistance we can create selection schemes to optimise the contribution of the MHC for resistance to disease.
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MOESM1 of Analysis of pooled genome sequences from Djallonke and Sahelian sheep of Ghana reveals co-localisation of regions of reduced heterozygosity with candidate genes for disease resistance and adaptation to a tropical environment
MOESM1 对加纳贾隆克羊和萨赫勒羊的基因组序列进行分析,揭示了杂合性降低的区域与抗病和适应热带环境的候选基因的共定位
DOI:
10.6084/m9.figshare.10270478
发表时间:
2019
期刊:
影响因子:
--
作者:
[M. Yaro]
通讯作者:
M. Yaro
DOI:
10.1017/s0031182014001905
发表时间:
2015-05
期刊:
Parasitology
影响因子:
2.4
作者:
[Mair C, Matthews L, De Cisneros JP, Stefan T, Stear MJ]
通讯作者:
Stear MJ
Estimation of temporal covariances in pathogen dynamics using Bayesian multivariate autoregressive models
使用贝叶斯多元自回归模型估计病原体动态的时间协方差
DOI:
10.48550/arxiv.1611.09063
发表时间:
2016
期刊:
影响因子:
--
作者:
[Mair C]
通讯作者:
Mair C
DOI:
10.1186/s12917-016-0723-7
发表时间:
2016-06-10
期刊:
BMC veterinary research
影响因子:
2.6
作者:
[Atlija M, Prada JM, Gutiérrez-Gil B, Rojo-Vázquez FA, Stear MJ, Arranz JJ, Martínez-Valladares M]
通讯作者:
Martínez-Valladares M
DOI:
10.1007/s00251-016-0962-6
发表时间:
2017-03
期刊:
Immunogenetics
影响因子:
3.2
作者:
[Ali AO, Stear A, Fairlie-Clarke K, Brujeni GN, Isa NM, Salisi MS, Donskow-Łysoniewska K, Groth D, Buitkamp J, Stear MJ]
通讯作者:
Stear MJ
共 6 条
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批准号:BB/P017452/1
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项目类别:Research Grant
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资助金额:$1.11万
-
财政年份:2016
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负责人:Louise Matthews
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依托单位:
Ecological and socio-economic factors impacting maintenance and dissemination of antibiotic resistance in the Greater Serengeti Ecosystem
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批准号:BB/K01126X/1
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项目类别:Research Grant
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资助金额:$61.37万
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财政年份:2012
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负责人:Louise Matthews
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新型M4受体选择性拮抗剂的研究
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批准号:30973615
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项目类别:面上项目
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资助金额:32.0万元
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批准年份:2009
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负责人:何新华
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