Mitreva Makedonka, Zarlenga Dante S, McCarter James P, Jasmer Douglas P
Genome Sequencing Center, Department of Genetics, Washington University School of Medicine, 4444 Forest Park Boulevard, St. Louis, MO 63108, USA.
Vet Parasitol. 2007 Aug 19;148(1):31-42. doi: 10.1016/j.vetpar.2007.05.008. Epub 2007 Jun 7.
The diseases caused by parasitic nematodes in domestic and companion animals are major factors that decrease production and quality of the agricultural products. Methods available for the control of the parasitic nematode infections are mainly based on chemical treatment, non-chemical management practices, immune modulation and biological control. However, even with integrated pest management that frequently combines these approaches, the effective and long-lasting control strategies are hampered by the persistent exposure of host animals to environmental stages of parasites, the incomplete protective response of the host and acquisition of anthelmintic resistance by an increasing number of parasitic nematodes. Therefore, the challenges to improve control of parasitic nematode infections are multi-fold and no single category of information will meet them all. However, new information, such as nematode genomics, functional genomics and proteomics, can strengthen basic and applied biological research aimed to develop improvements. In this review we will, summarize existing control strategies of nematode infections and discuss ongoing developments in nematode genomics. Genomics approaches offer a growing and fundamental base of information, which when coupled with downstream functional genomics and proteomics can accelerate progress towards developing more efficient and sustainable control programs.
家畜和伴侣动物体内寄生线虫所引发的疾病是降低农产品产量和质量的主要因素。现有的控制寄生线虫感染的方法主要基于化学治疗、非化学管理措施、免疫调节和生物防治。然而,即便采用经常将这些方法结合起来的综合虫害管理,有效的长期控制策略仍受到阻碍,原因包括宿主动物持续接触寄生虫的环境阶段、宿主的保护性反应不完全以及越来越多的寄生线虫产生抗驱虫药能力。因此,改善寄生线虫感染控制面临多方面挑战,单一类别的信息无法满足所有挑战。然而,线虫基因组学、功能基因组学和蛋白质组学等新信息能够加强旨在取得进展的基础生物学研究和应用生物学研究。在本综述中,我们将总结线虫感染的现有控制策略,并讨论线虫基因组学的当前进展。基因组学方法提供了不断增长的基础信息库,与下游的功能基因组学和蛋白质组学相结合时,能够加速开发更高效、可持续控制方案的进程。