位置:成果数据库 > 期刊 > 期刊详情页
Otterlace软件在猪全基因组序列人工注释分析中的应用
  • ISSN号:0253-9772
  • 期刊名称:《遗传》
  • 时间:0
  • 分类:S511[农业科学—作物学] Q279[生物学—细胞生物学]
  • 作者机构:[1]Key Laboratory of Agricultural Animal Genetics,Breeding and Reproduction of Ministry of Education,Huazhong Agricultural University, [2]College of Animal Science and Technology,Huazhong Agricultural University, Hubei Key Laboratory of Animal Nutrition and Feed Science,Wuhan Polytechnic University
  • 相关基金:Acknowledgements This work was supported by National Natural Science Foundation of China (30901021), 863, and the Key Programs for Science and Technology Development of Hubei Province.
中文摘要:

Over the past years, infectious disease has caused enormous economic loss in pig industry. Among the pathogens, gram negative bacteria not only cause inflammation, but also cause different diseases and make the pigs more susceptible to virus infection. Vaccination, medication and elimination of sick pigs are major strategies of controlling disease. Genetic methods, such as selection of disease resistance in the pig, have not been widely used. Recently, the completion of the porcine whole genome sequencing has provided powerful tools to identify the genome regions that harboring genes controlling disease or immunity. Immunogenomics, which combines DNA variations, transcriptome, immune response, and QTL mapping data to illustrate the interactions between pathogen and host immune system, will be an effective genomics tool for identification of disease resistance genes in pigs. These genes will be potential targets for disease resistance in breeding programs. This paper reviewed the progress of disease resistance study in the pig focusing on Gram-negative bacilli. Major porcine Gram-negative bacilli and diseases, suggested candidate genes/pathways against porcine Gram-negative bacilli, and distributions of QTLs for immune capacity on pig chromosomes were summarized. Some tools for immunogenomics research were described. We conclude that integration of sequencing, whole genome associations, functional genomics studies, and immune response information is necessary to illustrate molecular mechanisms and key genes in disease resistance.

英文摘要:

Over the past years, infectious disease has caused enormous economic loss in pig industry. Among the pathogens, gram negative bacteria not only cause inflammation, but also cause different diseases and make the pigs more susceptible to virus infection. Vaccination, medication and elimination of sick pigs are major strategies of controlling disease. Genetic methods, such as selection of disease resistance in the pig, have not been widely used. Recently, the completion of the porcine whole genome sequencing has provided powerful tools to identify the genome regions that harboring genes controlling disease or immunity. Immunogenornics, which combines DNA variations, transcriptorne, immune response, and QTL mapping data to illustrate the interactions between pathogen and host immune system, will be an effective genomics tool for identification of disease resistance genes in pigs. These genes will be potential targets for disease resistance in breeding programs. This paper reviewed the progress of disease resistance study in the pig focusing on Gram-negative bacilli. Major porcine Gram-negative bacilli and diseases, suggested candidate genes/pathways against porcine Gram-negative bacilli, and distributions of QTLs for immune capacity on pig chromosomes were summarized. Some tools for immunogenomics research were described. We conclude that integration of sequencing, whole genome associations, functional genomics studies, and immune response information is necessary to illustrate molecular mechanisms and key genes in disease resistance.

同期刊论文项目
同项目期刊论文
期刊信息
  • 《遗传》
  • 中国科技核心期刊
  • 主管单位:中国科学院
  • 主办单位:中国遗传学会
  • 主编:张永清
  • 地址:北京朝阳区北辰西路1号院中国科学院遗传发育所
  • 邮编:100101
  • 邮箱:yczz@genetics.ac.cn
  • 电话:010-64807669
  • 国际标准刊号:ISSN:0253-9772
  • 国内统一刊号:ISSN:11-1913/R
  • 邮发代号:2-810
  • 获奖情况:
  • 中国自然科学核心期刊,《CAJ-CD》执行优秀奖,2008年12月获“中国精品科技期刊”证书和北京市印...
  • 国内外数据库收录:
  • 美国化学文摘(网络版),英国农业与生物科学研究中心文摘,荷兰文摘与引文数据库,美国生物医学检索系统,美国生物科学数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),中国北大核心期刊(2000版)
  • 被引量:23270