Peace Cameron P, Bianco Luca, Troggio Michela, van de Weg Eric, Howard Nicholas P, Cornille Amandine, Durel Charles-Eric, Myles Sean, Migicovsky Zoë, Schaffer Robert J, Costes Evelyne, Fazio Gennaro, Yamane Hisayo, van Nocker Steve, Gottschalk Chris, Costa Fabrizio, Chagné David, Zhang Xinzhong, Patocchi Andrea, Gardiner Susan E, Hardner Craig, Kumar Satish, Laurens Francois, Bucher Etienne, Main Dorrie, Jung Sook, Vanderzande Stijn
1Department of Horticulture, Washington State University, Pullman, WA 99164 USA.
2Computational Biology, Fondazione Edmund Mach, San Michele all'Adige, TN 38010 Italy.
Hortic Res. 2019 Apr 5;6:59. doi: 10.1038/s41438-019-0141-7. eCollection 2019.
In 2010, a major scientific milestone was achieved for tree fruit crops: publication of the first draft whole genome sequence (WGS) for apple (). This WGS, v1.0, was valuable as the initial reference for sequence information, fine mapping, gene discovery, variant discovery, and tool development. A new, high quality apple WGS, GDDH13 v1.1, was released in 2017 and now serves as the reference genome for apple. Over the past decade, these apple WGSs have had an enormous impact on our understanding of apple biological functioning, trait physiology and inheritance, leading to practical applications for improving this highly valued crop. Causal gene identities for phenotypes of fundamental and practical interest can today be discovered much more rapidly. Genome-wide polymorphisms at high genetic resolution are screened efficiently over hundreds to thousands of individuals with new insights into genetic relationships and pedigrees. High-density genetic maps are constructed efficiently and quantitative trait loci for valuable traits are readily associated with positional candidate genes and/or converted into diagnostic tests for breeders. We understand the species, geographical, and genomic origins of domesticated apple more precisely, as well as its relationship to wild relatives. The WGS has turbo-charged application of these classical research steps to crop improvement and drives innovative methods to achieve more durable, environmentally sound, productive, and consumer-desirable apple production. This review includes examples of basic and practical breakthroughs and challenges in using the apple WGSs. Recommendations for "what's next" focus on necessary upgrades to the genome sequence data pool, as well as for use of the data, to reach new frontiers in genomics-based scientific understanding of apple.
2010年,树果作物取得了一项重大科学里程碑:苹果首个全基因组序列草图(WGS)发布()。这个WGS版本v1.0作为序列信息、精细定位、基因发现、变异发现及工具开发的初始参考具有重要价值。2017年发布了一个新的高质量苹果WGS,即GDDH13 v1.1,现在它作为苹果的参考基因组。在过去十年里,这些苹果WGS对我们理解苹果生物学功能、性状生理学和遗传特性产生了巨大影响,从而带来了改善这种高价值作物的实际应用。如今,对于具有基础和实际意义的表型的因果基因身份能够更快地被发现。在数百到数千个个体中高效筛选高遗传分辨率的全基因组多态性,从而对遗传关系和谱系有了新的认识。高效构建高密度遗传图谱,有价值性状的数量性状位点很容易与位置候选基因相关联,和/或转化为育种者的诊断测试。我们更精确地了解了驯化苹果的物种、地理和基因组起源,以及它与野生近缘种的关系。全基因组序列极大地推动了这些经典研究步骤在作物改良中的应用,并推动了创新方法的发展,以实现更持久、环境友好、高产且符合消费者需求的苹果生产。本综述包括使用苹果全基因组序列的基础和实际突破及挑战的实例。关于“下一步”的建议重点在于基因组序列数据库的必要升级以及数据的使用,以在基于基因组学的苹果科学理解方面开拓新领域。