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The first goat genome sets a good example for facilitating de novo assembly of large genomes
Date:12/23/2012

December 23, 2012, Shenzhen, China In a collaborative study published online today in Nature Biotechnology, researchers from Kunming Institute of Zoology, Chinese Academy of Sciences, BGI, and other institutes, have completed the first genome sequence of domestic goat by a robust approach integrated with next-generation sequencing (NGS) and whole-genome mapping (WGM) technologies. The goat genome is the first reference genome for small ruminant animals and may help to advance the understanding of distinct ruminants' genomic features from non-ruminant species. This work also yields a valuable experience for facilitating the de novo assemblies of large, complex genomes in the future.

Goats are recognized as an important member of the world livestock industry, and with many unique biological features. They are an important economic resource in many developing countries around the world, especially in China and India. However, despite their agricultural and biological importance, breeding and genetic studies of goats have been hampered by the lack of a high quality reference genome sequence. The goat genome sequence will be useful for facilitating the identification of SNP markers for marker-assisted breeding, and improving the utility of the goat as a biomedical model and bioreactor.

With the availability of next-generation sequencing (NGS), draft assemblies are easy to generate nowadays. However, to finish a sequence to the chromosome level remains a hard nut to crack. In this study, the results show that a single NGS platform, when combined with whole-genome mapping technology, could produce a finished assembly much faster and with high quality than other currently available mapping strategies such as BACs or FISH. Through this integrated approach, researchers obtained the ~2.66 Gb goat reference genome from a female Yunnan black goat.

Transposable elements (TEs) are major components of mammalian genomes and contribute to gene and/or geno
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Contact: Jia Liu
liujia@genomics.cn
BGI Shenzhen
Source:Eurekalert

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