Suppr超能文献

破解基因组宝库:探寻猪基因组的奥秘

Cracking the genomic piggy bank: identifying secrets of the pig genome.

作者信息

Mote B E, Rothschild M F

机构信息

Department of Animal Science and Center for Integrated Animal Genomics, Iowa State University, Ames, Iowa, USA.

出版信息

Genome Dyn. 2006;2:86-96. doi: 10.1159/000095097.

Abstract

Though researchers are uncovering valuable information about the pig genome at unprecedented speed, the porcine genome community is barely scratching the surface as to understanding interactions of the biological code. The pig genetic linkage map has nearly 5,000 loci comprised of genes, microsatellites, and amplified fragment length polymorphism markers. Likewise, the physical map is becoming denser with nearly 6,000 markers. The long awaited sequencing efforts are providing multidimensional benefits with sequence available for comparative genomics and identifying single nucleotide polymorphisms for use in linkage and trait association studies. Scientists are using exotic and commercial breeds for quantitative trait loci scans. Additionally, candidate gene studies continue to identify chromosomal regions or genes associated with economically important traits such as growth rate, leanness, feed intake, meat quality, litter size, and disease resistance. The commercial pig industry is actively incorporating these markers in marker-assisted selection along with traditional performance information to improve said traits. Researchers are utilizing novel tools including pig microarrays along with advanced bioinformatics to identify new candidate genes, understand gene function, and piece together gene networks involved in important biological processes. Advances in pig genomics and implications to the pork industry as well as human health are reviewed.

摘要

尽管研究人员正以前所未有的速度揭示有关猪基因组的宝贵信息,但猪基因组学界在理解生物密码的相互作用方面才刚刚触及皮毛。猪的遗传连锁图谱有近5000个位点,包括基因、微卫星和扩增片段长度多态性标记。同样,物理图谱也因近6000个标记而变得更加密集。期待已久的测序工作正带来多方面的益处,所提供的序列可用于比较基因组学,并能识别用于连锁和性状关联研究的单核苷酸多态性。科学家们正在使用外来品种和商业品种进行数量性状位点扫描。此外,候选基因研究继续识别与经济上重要的性状相关的染色体区域或基因,如生长速度、瘦肉率、采食量、肉质、产仔数和抗病性。商业养猪业正积极将这些标记与传统性能信息一起纳入标记辅助选择,以改善上述性状。研究人员正在利用包括猪微阵列在内的新型工具以及先进的生物信息学来识别新的候选基因、理解基因功能,并拼凑出参与重要生物过程的基因网络。本文综述了猪基因组学的进展及其对猪肉行业以及人类健康的影响。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验