Author
PEACE, CAMERON - Washington State University | |
BIANCO, LUCA - Fondazione Edmund Mach | |
TROGGIO, MICHELA - Fondazione Edmund Mach | |
VAN DE WEG, ERIC - Wageningen University And Research Center | |
HOWARD, NICHOLAS - University Of Minnesota | |
CORNILLE, AMANDINE - University Of Paris | |
DUREL, CHARLES-ERIC - Institut National De La Recherche Agronomique (INRA) | |
MYLES, SEAN - Dalhousie University | |
MIGICOVSKV, ZOE - Dalhousie University | |
SCHAFFER, ROBERT - New Zealand Institute Of Plant & Food Research | |
COSTES, EVELYNE - University Of Montpellier | |
Fazio, Gennaro | |
YAMANE, HISAYO - Kyoto University | |
VAN NOCKER, STEVE - Michigan State University | |
GOTTSCHALK, CHRIS - New Zealand Institute Of Plant & Food Research | |
COSTA, FABRIZIO - Fondazione Edmund Mach | |
CHAGNE, DAVID - New Zealand Institute Of Plant & Food Research | |
ZHANG, XINZHONG - China Agriculture University | |
PATOCCHI, ANDREA - Agroscope | |
GARDINER, SUSAN - New Zealand Institute Of Plant & Food Research | |
HARDNER, CRAIG - University Of Queensland | |
KUMAR, SATISH - Plant And Food Research | |
LAURENS, FRANCOIS - Institut National De La Recherche Agronomique (INRA) | |
BUCHER, ETIENNE - Institut National De La Recherche Agronomique (INRA) | |
MAIN, DORRIE - Washington State University | |
JUNG, SOOK - Washington State University | |
VANDERZANDE, STIJN - Washington State University |
Submitted to: Horticulture Research
Publication Type: Peer Reviewed Journal Publication Acceptance Date: 3/15/2019 Publication Date: 3/30/2019 Citation: Peace, C.P., Bianco, L., Troggio, M., Van De Weg, E., Howard, N.P., Cornille, A., Durel, C., Myles, S., Migicovskv, Z., Schaffer, R., Costes, E., Fazio, G., Yamane, H., Van Nocker, S., Gottschalk, C., Costa, F., Chagne, D., Zhang, X., Patocchi, A., Gardiner, S.E., Hardner, C., Kumar, S., Laurens, F., Bucher, E., Main, D., Jung, S., Vanderzande, S. 2019. Apple whole genome sequences: recent advances and new prospects. Horticulture Research. 6:59. Interpretive Summary: Assembled DNA sequences of entire chromosomes contained in cells of living organisms also referred to as Whole Genome Sequences (WGS) have had tremendous impact on understanding the complex landscape of biological interactions. Often compared to roadmaps, WGS have allowed major technological and scientific advances in human biology that are nowadays being translated into gene therapy, cancer recognition/cures, genetic risk assessment, etc. Whole genome sequence research and development on the cultivated apple, is approaching similar impacts in addressing problems like diseases which require pesticides, improving fruit quality on store shelves and in-home fruit baskets, growing apple trees in stresses caused by climate change and improving the nutrition value of apples. Many of the solutions to these problems have received an enabling benefit from the development of apple WGS and associated techniques which connect genes and traits to them. This is an important read for those who want to know about the state of the art of apple genome research, technological advancements and future research directions. Technical Abstract: In 2010, a major scientific milestone was achieved for tree fruit crops: publication of the first draft whole genome sequence (WGS) for apple (Malus domestica). 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. |