Unravelling the genetic variability of host resilience to endo- and ectoparasites in Nellore commercial herds.

IF 3.6 1区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Gabriela Canabrava Gouveia, Virgínia Mara Pereira Ribeiro, Marina Rufino Salinas Fortes, Fernanda Santos Silva Raidan, Antonio Reverter, Laercio Ribeiro Porto-Neto, Mariana Mamedes de Moraes, Daniel Resende Gonçalves, Marcos Vinicius Gualberto Barbosa da Silva, Fabio Luiz Buranelo Toral
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引用次数: 0

Abstract

Background: Host resilience (HR) to parasites can affect the performance of animals. Therefore, the aim of this study was to present a detailed investigation of the genetic mechanisms of HR to ticks (TICK), gastrointestinal nematodes (GIN), and Eimeria spp. (EIM) in Nellore cattle that were raised under natural infestation and a prophylactic parasite control strategy. In our study, HR was defined as the slope coefficient of body weight (BW) when TICK, GIN, and EIM burdens were used as environmental gradients in random regression models. In total, 1712 animals were evaluated at five measurement events (ME) at an average age of 331, 385, 443, 498, and 555 days, which generated 7307 body weight (BW) records. Of the 1712 animals, 1075 genotyped animals were used in genome-wide association studies to identify genomic regions associated with HR.

Results: Posterior means of the heritability estimates for BW ranged from 0.09 to 0.54 across parasites and ME. The single nucleotide polymorphism (SNP)-derived heritability for BW at each ME ranged from a low (0.09 at ME.331) to a moderate value (0.23 at ME.555). Those estimates show that genetic progress can be achieved for BW through selection. Both genetic and genomic associations between BW and HR to TICK, GIN, and EIM confirmed that parasite infestation impacted the performance of animals. Selection for BW under an environment with a controlled parasite burden is an alternative to improve both, BW and HR. There was no impact of age of measurement on the estimates of genetic variance for HR. Five quantitative trait loci (QTL) were associated with HR to EIM but none with HR to TICK and to GIN. These QTL contain genes that were previously shown to be associated with the production of antibody modulators and chemokines that are released in the intestinal epithelium.

Conclusions: Selection for BW under natural infestation and controlled parasite burden, via prophylactic parasite control, contributes to the identification of animals that are resilient to nematodes and Eimeria ssp. Although we verified that sufficient genetic variation existed for HR, we did not find any genes associated with mechanisms that could justify the expression of HR to TICK and GIN.

揭示内洛尔商业畜群中宿主对内寄生虫和外寄生虫恢复力的遗传变异。
背景:寄主对寄生虫的抵抗力会影响动物的生产性能。因此,本研究的目的是详细研究在自然侵染和寄生虫预防控制策略下饲养的Nellore牛的HR对蜱虫(TICK)、胃肠道线虫(GIN)和艾美耳虫(EIM)的遗传机制。在我们的研究中,HR被定义为在随机回归模型中以TICK、GIN和EIM负荷作为环境梯度时体重(BW)的斜率系数。共有1712只动物在平均年龄为331、385、443、498和555日龄的5个测量事件(ME)中进行了评估,共产生了7307个体重(BW)记录。在这1712只动物中,1075只基因分型动物被用于全基因组关联研究,以确定与HR相关的基因组区域。结果:寄生虫和ME体重遗传力估计的后验均值在0.09 ~ 0.54之间。单核苷酸多态性(SNP)衍生的遗传力在不同代谢能下从低(0.09,ME.331)到中等(0.23,ME.555)不等。这些估计表明,体重的遗传进展可以通过选择来实现。体重和HR与TICK、GIN和EIM之间的遗传和基因组关联证实,寄生虫侵染会影响动物的生产性能。在寄生虫负担得到控制的环境下选择体重是提高体重和心率的另一种选择。测量年龄对HR遗传方差的估计没有影响。有5个数量性状位点(QTL)与HR - EIM相关,但与HR - TICK和GIN无关。这些QTL包含的基因先前被证明与在肠上皮中释放的抗体调节剂和趋化因子的产生有关。结论:通过预防性寄生虫控制,选择自然侵染条件下的BW,有助于鉴定对线虫和艾美耳球虫具有抗性的动物。虽然我们证实了HR存在足够的遗传变异,但我们没有发现任何与机制相关的基因可以证明HR对TICK和GIN的表达。
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来源期刊
Genetics Selection Evolution
Genetics Selection Evolution 生物-奶制品与动物科学
CiteScore
6.50
自引率
9.80%
发文量
74
审稿时长
1 months
期刊介绍: Genetics Selection Evolution invites basic, applied and methodological content that will aid the current understanding and the utilization of genetic variability in domestic animal species. Although the focus is on domestic animal species, research on other species is invited if it contributes to the understanding of the use of genetic variability in domestic animals. Genetics Selection Evolution publishes results from all levels of study, from the gene to the quantitative trait, from the individual to the population, the breed or the species. Contributions concerning both the biological approach, from molecular genetics to quantitative genetics, as well as the mathematical approach, from population genetics to statistics, are welcome. Specific areas of interest include but are not limited to: gene and QTL identification, mapping and characterization, analysis of new phenotypes, high-throughput SNP data analysis, functional genomics, cytogenetics, genetic diversity of populations and breeds, genetic evaluation, applied and experimental selection, genomic selection, selection efficiency, and statistical methodology for the genetic analysis of phenotypes with quantitative and mixed inheritance.
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